MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01DAA073.9CF472C0" Este documento es una página web de un solo archivo, también conocido como "archivo de almacenamiento web". Si está viendo este mensaje, su explorador o editor no admite archivos de almacenamiento web. Descargue un explorador que admita este tipo de archivos. ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8"

Actitudes Hacia la Homosexualidad en Estudiantes de Licenciatura Panameños de Psicol= ogía, Ingeniería y Bellas Artes

 

Attitudes Toward Homosexuality Among Panamanian Undergraduate Students of Psychology, Engineering, and Fine Arts

 <= /o:p>

Rolando F. Trejos1-2* & Gabrielle B. Britton2

=  

 

1 Centro de Neurociencias y Unidad de Investigaci= ón Clínica, Instituto de Investigaciones Científicas y Servicios de Alta Tec= nología (INDICASAT AIP) 0843-01103, Panamá

2 Facultad<= span lang=3DES style=3D'font-size:8.0pt;font-family:"Times New Roman",serif;mso-= fareast-font-family: Arial;mso-ansi-language:ES'> de Psicología, Universidad de Panamá (PanamÃ= ¡)

 

 

*Autor por correspondencia: = Rolando Trejos: rolandotrejos1500@gmail.com=

 

Recib= ido: 08 de abril de 2024

 Acepta= do: 22 de abril de 2024

 

Resumen

 

Las actitudes hacia la homosexualidad h= an mejorado alrededor del mundo; pero, la mejoría no se ha producido por igua= l en todos los países y territorios. Varios estudios han evaluado las actitudes hacia las personas LGBTQAI+ en estudiantes universitarios, sin embargo, la forma en la cual el género, los programas de estudio, la religiosidad intrínseca, y el racismo moderno juegan un papel en las actitudes hacia la homosexualidad en estudiantes universitarios aún es incierto. Este estudio transversal pretende examinar las actitudes hacia la homosexualidad entre 1= 73 estudiantes universitarios de la Universidad de Panamá, evaluando el rol de factores sociodemográficos (género y programa) y estructurales (religiosidad y rac= ismo moderno). Aquellos estudiantes universitarios de 18 años o más matriculad= os en un programa de licenciatura en psicología, ingeniería o bellas artes fuer= on elegibles para este estudio. La muestra incluyó 79 estudiantes de licencia= tura en psicología (46,0%), 57 de ingeniería (33,0%) y 37 de bellas artes (21,0%)= . Los participantes respondieron a la Escala de Actitudes hacia Lesbianas y Hombr= es Gay (ATLG), la Escala del Racismo Moderno y la Escala de Actitudes hacia el Cristianismo de Francis. Se encontró altos niveles de homonegatividad entre estudiantes universitarios panameños, con hombres y estudiantes de ingeniería reportando actitudes negativas en un mayor porcentaje en compar= ación con otros grupos. Los resultados demostraron una correlación positiva entr= e la homonegatividad y la religiosidad intrínseca, mientr= as esta correlación no se encontró en cuanto al racismo moderno. Un área de estudio interesante relacionada con esta investigación es = evaluar el impacto de la orientación sexual o de tener conocidos LGBTQAI+ sobre las actitudes hacia la homosexualidad entre los panameños. A futuro, estudios deberán explorar cambios longitudinales en las actitudes hacia las minorí= as sexuales en Panamá e informar futuras intervenciones para prevenir la discriminación y promover el bienestar de panameños LGBTQAI+.<= /span>

 

Palabras clave: estudiantes universitarios, homonegatividad, LGBTQ+, religiosidad, racismo.

 

 


Abstract

 

Attitudes toward homosexuality have improved worldwide; however, these changes have not occurred equally across= all countries and territories. Extensive research has assessed attitudes toward LGBTQAI+ individuals among college students. Yet, the way in which gender, degree programs, intrinsic religiosity, and modern racism play a role in the attitudes toward homosexuality among college students remains unclear. This cross-sectional study examines attitudes toward homosexuality among 173 und= ergraduate students from the University of Panama, evaluating the role of sociodemogra= phic factors (gender and degree program) and structural factors (religiosity and modern racism). Undergraduate students 18 years or older who were enrolled = in a degree program in psychology, engineering, and fine arts schools were eligi= ble for this study. Participants included 79 undergraduate students from psycho= logy (46.0%), 57 from engineering (33.0%), and 37 from fine arts (21.0%). Respon= dents completed the Spanish versions of the Attitudes Toward Lesbians and Gay Men Scale, the Modern Racism Scale, and the Francis Scale of Attitude Towards Christianity. Results suggest the presence of homonegativity among Panamani= an undergraduates, with males and engineering students reporting greater negat= ive attitudes compared to all other groups. Intrinsic religiosity is positively correlated with homonegativity, while sublimated racism is not correlated w= ith homonegativity. An interesting area of study related to this research is the impact of self-reported sexual orientation or having LGBTQAI+ = acquaintances upon attitudes toward homosexuality among Panamanians.= Further research is necessary to explore long-term changes in attitudes toward sexu= al minorities in Panama and to justify interventional efforts to prevent discrimination and promote well-being among LGBTQAI+ Panamanians.

 

Keywords: college students= , homonegativity, LGBTQ+, religiosity, racism

 

 

Introduction

 

Attitudes toward homosexuality have improved worldwide, including in Latin America; however, these changes have not occurred equally across all countries and territories (Corrales, 2017). Studies suggested that stigmas, prejudices, a= nd stereotypes towards homosexuality in the region of Latin America are linked= to popular beliefs of an underlying implication of immorality rooted in Christianity (Castillo Nuñez et al., 2019; Mor= al de la Rubia & Valle de la O, 2014).

 

Recently, the Supreme Court of Justice of Panama ruled against legalizing same-sex marriage in Panama. This ruling set a precedent in the country, as it faile= d to align with a call for the approval of the legalization of same-sex marriage= in Panama by the Inter-American Commission on Human Rights (IACHR) (Inter-Amer= ican Commission on Human Rights (IACHR), 2023).

 

Previous studies discuss that those older (Rollè et al., 2022), males (Jäckle & Wenzelburger, 2015; Kite et al., 2021; Lingiardi et al., 2005= ), with limited educational background (Dorsen, 20= 12; Lin et al., 2021), with certain religious affiliations and religious behavi= ors (Jäckle & Wenzelburge= r, 2015; Rollè et al., 2022), including Christian= ity, with certain political orientations (López-Sáez et al., 2020; Rollè et al., 2022), and with no ho= mosexual friends or family members (Bowen & Bourgeois, 2001), are more likely to report increased negative attitudes toward lesbians and gay men. Extensive research has assessed attitudes toward LGBTQAI+ individuals among college students (Anderson & Maugeri, 2024; Worthen, 2012). This study includes predictors for homonegativity among college students highlighted in previous research, including degree programs (Papadaki e= t al., 2015) and gender (Kite et al., 2021; Konstantinidis et al., 2021).

 

Attitudes toward LGBTQAI+ individuals derive from multiple individual, family, commun= ity, policy, and geopolitical factors. Therefore, studies have focused on the individual-level effects of homonegativity (Bhugra et al., 2021; Flood et al., 2013) and the populational effects of increased homonegativity on the LGBTQAI+ community and the general public (Gates, 201= 3; Taylor, 2020). In a general sense, these attitudes also interact with other structural and historical factors, including sexism (R= ollè et al., 2022), hetero-patriarchal social structures (Lin & Lee, 2024), acculturation (Ju, 2022), religiosity (Rollè e= t al., 2022), and multiple forms of structural racism, including modern racism (Campo-Arias et al., 2016).

 

Policies and legal protections can profoundly impact attitudes toward LGBTQAI+ individuals (Gates, 2013), even when its effects tend to concentrate among those who, before the policies, did not hold negative attitudes toward homosexuality (Redman, 2018). Indirectly, legislation and policies that res= trict or limit the rights and safety of LGBTQAI+ individuals can also impact non-LGBTQAI+ individuals. These effects have been exemplified by studies evaluating the populational effects of anti-gay sentiment and attitudes (Hatzenbuehler et al., 2014).

 

Methods

 

Objective

 <= /o:p>

Preliminary findings underscore the importance of surveilling attitudes towards homosexuality to understand the disenfranchisement of LGBTQAI+ in the regio= n of the Americas and, in particular, Panama. Hence, studies that combine explor= ing the role of sociodemographic factors (gender and degree program) and struct= ural factors (religiosity and modern racism) as potential covariates warrant fur= ther exploration due to its potential to justify future interventional efforts to prevent discrimination and promote well-being among LGBTQAI+ Panamanians. Therefore, this study aims to examine the correlates of the attitudes toward homosexuality among undergraduate students from the largest university in Panama.

 

Population and Sample=

 <= /o:p>

For this campus-based cross-sectional study, participant enrollment occurred at= the University of Panama’s Harmodio Arias Madrid Campus in Panama City from J= uly to October 2017. Participants were recruited from the University of Panama's psychology, engineering, and fine arts schools. By the time the study was conducted, registration records showed that there was a total of 400, 188, = and 125 undergraduate students enrolled in the schools of psychology, engineeri= ng, and fine arts, respectively, in the study source population. Figure 1 depic= ts the participant recruitment flow diagram.



 SEQ Figure \* ARABIC 1. Participant recruitment flow diagram.

 

Undergraduate students 18 years or older who were enrolled in a degree program in psychol= ogy, engineering, and fine arts schools were eligible for this study. A convenie= nce sample of hundred seventy-three students (N=3D 173) voluntarily agreed to participate. Participants included 79 undergraduate students from psychology (46.0%), 57 from engineering (33.0%), and 37 from fine arts (21.0%). <= /o:p>

 

Out of the 173 participants, females comprised most participants (76.3%) with a mean age of 20.8 years (SD =3D 2.5). Thirty-one percent of the sample repor= ted a family monthly income ranging from $500 to $1,000. Most participants were multiracial (52.6%), followed by Black (24.9%). Nearly 90.2% of participants self-identified as heterosexual or straight, while 1.2% self-identified as homosexual. The majority of students reported that they were Christian (87.= 9%) (Table 1).

 

 

 

Table 1. Sociodemographics= of the Sample by Degree Program (N =3D 173)<= /span>

 

 

U= ndergraduate Degree Program

 

<= span lang=3DEN-US style=3D'font-size:10.0pt;font-family:"Times New Roman",seri= f; mso-fareast-font-family:Calibri;color:black;mso-fareast-language:EN-GB'><= o:p> 

 

P= sychology

E= ngineering

F= ine Arts

T= otal

F=

X= 2

<= span lang=3DEN-US style=3D'font-size:10.0pt;font-family:"Times New Roman",seri= f; mso-fareast-font-family:Calibri;color:black;mso-fareast-language:EN-GB'>P= v= aluea<= o:p>

Gender N (%)<= /p>

 

 

 

<= o:p> 

<= o:p> 

8= .95

0= .011*

=   Male

13 (16.5)

22 (38.6)

8 (21.6)

43 (24.9)

<= o:p> 

<= o:p> 

<= o:p> 

=   Female

66 (83.5)

35 (61.4)

29 (78.4)

1= 30 (75.1)

<= o:p> 

<= o:p> 

<= o:p> 

Age (years) M (SD)

2= 2.2 (±2.4)

1= 8.9 (±1.1)

2= 0.4 (±2.3)

2= 0.8 (±2.5)

4= 3.63

<= o:p> 

0= .000*

Race

=   Black

=   Indigenous peoples

=   White

=   Multiracial

=   Missing

<= o:p> 

18 (22.8)

3 (3.8)

7 (8.9)

50 (63.3)

1 (1.3)

<= o:p> 

14 (24.6)

6 (10.5)

9 (15.8)

25 (43.8)

3 (5.3)

<= o:p> 

11 (29.7)

6 (16.2)

4 (10.8)

16 (43.2)

0= (0)

<= o:p> 

43 (24.8)

15 (8.7)

20 (11.6)

91 (52.6)

4 (2.3)

<= o:p> 

2= 0.75

0= .054

Family monthly income N (%)<= /o:p>

=   <$250

=   $250-500

=   $500-1,000

=   $1000-2000

=   >$2000

=   Missing

<= o:p> 

<= o:p> 

1 (1.3)

8 (10.1)

18 (22.8)

26 (32.9)

25 (31.6)

1 (1.3)

<= o:p> 

<= o:p> 

7 (12.3)

5 (8.8)

25 (43.9)

11 (19.3)

9 (15.8)

0= (0)

<= o:p> 

<= o:p> 

4 (10.8)

5 (13.5)

11 (29.7)

12 (32.4)

5 (13.5)

0= (0)

<= o:p> 

<= o:p> 

12 (6.9)

18 (10.4)

54 (31.2)

49 (28.3)

39 (22.5)

1 (0.1)

<= o:p> 

1= 9.88

0= .011*

Sexual

Orientation N (%)

=   Heterosexual (or

=   straight)

=   Homosexual

=   (lesbian or gay)

=   Other

=   Missing

<= o:p> 

<= o:p> 

76 (96.2)

<= o:p> 

0= (0)

<= o:p> 

3 (3.8)

0= (0)

<= o:p> 

<= o:p> 

50 (87.7)

<= o:p> 

0= (0)

<= o:p> 

4 (7.0)

3 (5.3)

<= o:p> 

<= o:p> 

30 (81.1)

<= o:p> 

2 (5.4)

<= o:p> 

5 (13.5)

0= (0)

<= o:p> 

<= o:p> 

1= 56 (90.2)

<= o:p> 

2 (1.2)

<= o:p> 

12 (6.9)

3 (1.7)

<= o:p> 

1= 1.21

0= .024*

Religion N (%)<= /p>

=   Christian

=   Protestant

=   Hindus

=   Buddhists

=   Other religion

<= o:p> 

66 (83.5)

3 (3.8)

1 (1.3)

1 (1.3)

8 (10.1)

<= o:p> 

50 (87.7)

0 (0.0)

0 (0.0)

0 (0.0)

7= (12.3)

<= o:p> 

34 (91.9)

1 (2.7)

0 (0.0)

0 (0.0)

2 (5.4)

<= o:p> 

1= 50 (86.7)

4 (2.3)

1 (0.6)

1 (0.6)

17 (9.8)

<= o:p> 

5= .78

0= .672

ATLG M (SD)

        Full Scale

        ATG

        ATL

<= o:p> 

7= 3.9 (±28.7)

3= 7.6 (±15.7)

3= 6.2 (±14.3)

<= o:p> 

9= 3.2 (±23.2)b

4= 8.8 (±13.5)b

4= 4.7 (±11.8)b

<= o:p> 

7= 8.8 (±30.1)

3= 8.3 (±15.7)

4= 0.5 (±16.3)

<= o:p> 

8= 1.3 (±28.5)

4= 1.5 (±15.8)

3= 9.9 (±14.4)

<= o:p> 

8= .32

1= 0.23

6= .07

<= o:p> 

<= o:p> 

0= .000*

0= .000*

0= .003*

Francis Scale of     Attitude Towards Christianity = M (SD)

1= 6.9 (±5.4)

1= 7.7 (±4.5)

1= 8.5 (±2.8)

1= 7.5 (±4.7)

1= .51

<= o:p> 

0.224

Modern Racism <= /p>

Scale M (SD)

6= .2 (±3.9)b

1= 1.2 (±3.5)

1= 0.7 (±4.3)

8= .8 (±4.6)

3= 1.29

<= o:p> 

0= .000*

Total N (%)

79 (45.7)

57 (32.9)

37 (21.4)

1= 73 (100)

<= o:p> 

<= o:p> 

<= o:p> 

 

 

 

Instruments

 <= /o:p>

Attitudes Toward Lesbians and Gay Men (ATLG)

 

Participants completed the adapted Spanish version of the Attitudes Toward Lesbians and = Gay Men (ATLG) Scale (Moreno et al., 2015). The scale consists of a 20-item Likert-type self-report questionnaire that measures attitudes toward lesbia= ns and gay men, including subscales measuring Attitudes Toward Lesbians (ATL) = and Attitudes Toward Gay Men (ATG) (Moreno et al., 2015). Responses range from = 1 to 9, with total scores ranging from 20 to 180, with values higher than 60 indicating the presence of negative attitudes (Moreno et al., 2015). The Spanish version has shown good reliability for the ATLG full scale (α =3D = 0.87) and its subscales of ATL (α =3D 0.74) and ATG (α =3D 0.85) (Moreno et al.= , 2015). Cronbach’s alpha calculated for this study for the ATLG scale was 0.90, w= hile for the subscales Attitude Toward Lesbians (ATL) and Attitude Toward Gay Men (ATG), we found 0.78 and 0.86, respectively.

 

Francis Scale of Attitude Towards Christianity

 

The five-item Spanish version of the Francis Scale of Attitude Towards Christia= nity (Francis-5), adapted by Campo-Arias et al. (2017) in Spanish, was utilized.= The Francis-5 is a self-administered scale that assesses intrinsic or internally motivated religiosity based on personal religious practice. Responses range from 0 to 4, with possible summed scores from 0 to 20. Higher scores indicate greater intrinsic religiosity (Campo-Arias et al., 2017 & Campo-Arias & Ceballos-Ospino, 2020). Campo-Arias et al. (2017) reported a high-reliability coefficient for the Spanish version of the Francis-5 scale (α =3D 0.97). The Francis Scale of Attitudes Toward Christianity Scale obtained a Cronbach’s alpha score of = 0.97 in our study.


Modern Racism Scale

 

Participants responded to the Spanish version of the Modern Racism Scale adapted by Campo-Arias et al. (2016). The responses range from 0 to 4. Final scores ra= nge from 0 to 20, with higher scores corresponding to greater sublimated or non-conventional racism, described as modern racism (Campo-Arias & Ceballos-Ospino, 2020). Campo-Arias et al. (201= 6) reported an acceptable reliability score for the Spanish version of the Mod= ern Racism Scale (α =3D 0.67). For the Modern Racism Scale, a 0.76 Cronbach's = alpha score was found.

 

Data Collection Procedures and Data Analysis

 <= /o:p>

The study met all ethical standards and obtained exemption status by an internal IRB at the College of Psychology, University of Panama. Each participating program at the University of Panama approved the research protocol before participants were enrolled. All participants voluntarily agreed to particip= ate after an in-person and classroom-based discussion of the informed consent protocol. Participants received no incentives for participation, but in coordination with the University of Panama’s health clinic, students were provided with a resource guide detailing available on-campus resources. The application process took about 15-20 minutes.

 

Results

 

Findings suggest a high level of homonegativity among Panamanian undergraduate stude= nts (M =3D 81.3, SD =3D 28.5). Overall, participants reported a high intrinsic religiosity (M =3D 17.5, SD =3D 4.7) and low sublimated racism (M =3D 8.8, = SD =3D 4.6). Across groups, compared to psychology and fine arts, engineering students reported the highest levels of negative attitudes toward homosexuality (M = =3D 93.2, SD =3D 23.2). Engineering students also reported greater intrinsic religiosity (M =3D 18.5, SD =3D 2.8), while fine arts students reported hig= her sublimated racism (M =3D 11.2, SD =3D 3.5) compared to all other degree pro= grams.

 

An analysis of variance (ANOVA) was used to compare groups (Table 1). When evaluating the Attitudes Toward Lesbians and Gay Men Scale (ALTG), ANOVA re= vealed significant group differences, F(2,169) =3D 8.32; p < .01, with psycholo= gy (M =3D 73.9, SD =3D 28.7) and fine arts students (M =3D 78.81, SD =3D 30.1) re= porting lower mean scores compared to engineering students (M =3D 93.2, SD =3D 23.2= ). Similarly, group differences were significant for the Modern Racism Scale F(2,166) =3D 31.29; p < .01, with psychology students (M =3D 6.24, SD = =3D 3.9) reporting less modern racism compared to fine arts (M =3D 10.7, SD =3D 4.3)= and engineering students (M =3D 11.2, SD =3D 3.5). There were no significant differences for the Francis Scale of Attitude Towards Christianity F(2,170) =3D 1.51; p =3D 0.22.

 

A series of one-way analyses of covariance (ANCOVA), controlling for age and = sex, revealed statistically significant differences between groups F (2,161) =3D= 4.40, p =3D .014, which remained constant when assessing results for the ATLG sub= scales of Attitudes Towards Gay Men (ATG) F (2,161) =3D 5.51, p =3D .005 and Attit= udes Towards Lesbians (ATL) F (2,161) =3D 3.20, p =3D .043. Results for the Mode= rn Racism Scale suggest that the groups compared differ significantly F (2,161= ) =3D 21.20, p =3D <.001. However, results suggest no significant differences between groups for intrinsic religiosity as measured by the Francis Scale of Attitude Towards Christianity F (2,161) =3D 1.06, p =3D .348. Most particip= ants in the sample were female (75%). Gender also differed significantly by degree program Χ2 =3D 8.95; p =3D 0.011. Gender was only significant for the ATG = subscale F (1,161) =3D 4.209, p =3D .042, while for all other scales and subscales, = it was not a significant covariate.

 

Finally, a Pearson chi-square test revealed that positive intrinsic religiosity (Francis-5) was correlated positively with negative attitudes toward lesbia= ns and gay men (ATLG) (r(170) =3D 0.339, p < .01). In contrast, no signific= ant correlation was found for the Attitudes Toward Lesbians and Gay Men (ATLG) scale and the Modern Racism Scale (MRS) (r(166) =3D 0.134, p =3D 0.084).

 

Discussion and Conclusions<= /b>

 <= /o:p>

Our findings confirm the presence of negative attitudes toward homosexuality ac= ross all studied groups (students in engineering, fine arts, and psychology), as= has been reported in similar studies conducted in Mexico and Chile (Barrientos & Cárdenas, 2012; Moral de la Rubia & Valle, 2011). In contrast, European samples report more positive attitudes (Papad= aki et al., 2015). Findings indicate high homonegativity among Panamanian undergraduate students and confirm the role of gender, degree program, and religiosity as correlates for those attitudes. Our study failed to confirm = that modern racism is a correlate for homonegativity; however, this finding coul= d be due to the lower self-reported modern racism in our sample compared to other regional studies (Campo-Arias et al., 2016).

 

Significant differences across undergraduate degree programs were found in the attitudes toward lesbians and gay males and non-conventional or sublimated racism. Conversely, no significant differences were found across groups regarding t= heir intrinsic religiosity. Findings regarding religiosity could be linked to the high levels of Christianity in Panama (Pew Research Center, 2014).

 

In terms of the different study programs, engineering students reported higher negative attitudes toward homosexuality than those in psychology and fine a= rts. Engineering students also reported greater intrinsic religiosity than psychology or fine arts students, which may explain their negative attitudes toward lesbians and gay men. Additionally, several studies suggest that the curriculum and prevalence of men in specific science majors, including engineering, could impact the presence of students’ negative attitudes (Hutchings, 2018; Jäckle & Wenzelburger, 2015; Moral de la Rubia & De la O, 2014). In agreement with previous re= search, undergraduate psychology students reported the lowest levels of negative attitudes toward lesbians and gay men (Papadaki= et al., 2015). Yet, in case negative attitudes towards homosexuality persist a= mong psychology major students, it can adversely impact the mental health servic= es provision and quality (American Psychological Association, 2009), raising concerns about upholding professional values of harm reduction and patient autonomy as professionals in the field (Rees et al., 2021).

 

Interestingly, gender was only a significant covariate for the attitudes toward gay men, w= hile it was not significant for the ATLG scale, including the ATL subscale, fail= ing to confirm findings from previous studies (Kite et al., 2021; Konstantinidi= s et al., 2021). This finding could be because most participants in the study we= re female. However, it could also underscore the importance of future research= to explore the role of gender identity and gender expression for the impact of gender on the attitudes toward LGBTIQ+ individuals.

 

Similar to other international and regional studies (Jäckle & Wenzelburger, 2015; Moreno et al., 2015),= this study reports that intrinsic religiosity is correlated significantly with attitudes toward lesbians and gay men. This relationship was also confirmed= in similar studies using the Francis-5 scale with a sample of Peruvian medical students (Nieto-Gutierrez et al., 2019). This is the first study that has utilized the Brief Modern Racism Scale (MRS) to examine the correlation bet= ween homonegativity and modern racism. Nevertheless, previous studies conducted = in the region using the full-scale version of MRS have shown that individuals = with higher negative attitudes toward homosexuality frequently hold negative attitudes toward diverse ethnic and racial populations (Campo-Arias et al., 2014). In contrast, we found no significant correlation between modern raci= sm and attitudes toward homosexuality.

 

This study has several limitations. First, we included a convenience sample of undergraduate students; therefore, the findings are not generalizable to the broader population of undergraduate students at the University of Panama. H= owever, the University of Panama is the country's oldest and largest higher educati= on institution (HEI), with over 73,000 students enrolled, and offers the most diversity regarding study areas (Svenson & De Gracia, 2020). Secondly, = most participants enrolled in our study were women (76%); however, this is comparable to the percentage of women undergraduate enrollees (60%) at the University of Panama during the last decade (Rodriguez Blanco et al., 2020). Thirdly, this was a cross-sectional study and did not include changes in attitudes over time, limiting the external validity of the findings. Fourth, the study did not incorporate cultural predictors for homonegativity, such = as traditional gender roles -commonly discussed in Latin America as machismo a= nd marianismo- (Hirai et al., 2018; Nierman et al., 2007), cultural background (Berg et al., 2017), public discourse on sexual minorities and their rights (Gyasi-Gyamerah et = al., 2019), and sexual knowledge (Hong et al., 2022). Strengths of this study include a high response rate to the measures and the surveys, being the fir= st study to record negative attitudes toward lesbians and gay men in a Panaman= ian sample, and the first study of its kind in Central America, which may motiv= ate future research in this area.

 

Moreover, understanding the magnitude of negative attitudes toward homosexuality and = how they change over time is fundamental to the non-binary perspective of human sexuality. Historically, in sexual orientation research, there has been a b= ias at mainly including white, adult, middle-class men as representative of the LGBTQI+ community as a whole, underrepresenting other populations (Hartwell= et al., 2017).

 

An interesting area of study related to this research is the impact of self-reported sexual orientation or having gay and lesbian acquaintances up= on attitudes toward homosexuality. Previous research suggests that those who self-identify or have contact with sexually diverse individuals report more tolerant attitudes (Dellaposta, 2018; Gulevich et al., 2021). Future research should confir= m this finding in Panama.

 

Conducting studies that can help identify attitudes toward homosexuality in an evidence-based and culturally competent way is a current imperative for Lat= in America, especially now that several countries are debating the legalizatio= n of same-sex marriage (González, 2020). In addition to the inclusion of other variables, future research should focus on verifying the reliability of each scale in different contexts, including non-academic contexts, and adding a = life course perspective to understand how attitudes toward homosexuality change = over time.

 

Acknowledgments

 

We thank Professor Marita Mojica and Professor Gerardo Valderrama from the University of Panama for supporting this project's planning and implementat= ion stages.

 

Conflict of Interest Disclosure

 

The authors report th= at there are no conflicts of interest.

 

Funding

This work was supported by the Institute for Scientific Research and Technology Services (INDICASAT AIP) and the Deveaux Foundation through the Bachelor Th= esis Award. RFT is supported by a doctoral scholarship (IFARHU-SENACYT program).= GBB is supported by Sistema Nacional de Investigación of SENACYT in Panama.

References

 <= /o:p>

American Psychological Association. (2009). Report of the American Psychological Association Task Force on appropriate therapeutic responses to sexual orientation. Washington, DC. https://www.apa.org/pi/lgbt/resources/therapeutic-response.pdf <= /span>

Anderson, J., & Maugeri, J. (2024). Correlates of attitudes toward bisexuality: A systematic review and meta-analysis. Jou= rnal of Homosexuality, 71(1), 259-292. https://doi.org/10.1080/00918369.2022.2112524

Barrientos, J. E., & Cárdenas, M. (2012). Análisis factorial confirmatorio= de la versión en español del cuestionario de actitudes hacia lesbianas y hom= bres gais (ATLG). Universitas Psychologica, 11, 579-586. https://doi.org/10.11144/Javeriana.upsy11-2.cf= as

Berg, R. C., Lemke, R., & Ross, M. W. (2017). Sociopolitical and cultural correlates of internalized homonegativity in gay and bisexual men: Findings from a global study. International Journal of Sexual Health, 29(1), 97-111. https://doi.org/10.1080/19317611.2016.124= 7125

Bhugra, D., Castaldelli-Maia, J. M., De Berardis, D., Torales, J., & Ventriglio, A. (2021). Homophobia and mental health: A scourge of modern era. Epidemiology and Psychiatric Sciences, 30. https://doi.org/10.1017/S2045796021000391

Bowen, A. M., & Bourgeois, M. J. (2001). Attitudes to= ward lesbian, gay, and bisexual college students: The contribution of pluralistic ignorance, dynamic social impact, and contact theories. Journal of Ameri= can College Health, 50(2), 91-96. https://doi.org/10.1080/07448480109596012=

Campo-Arias, A., & Ceballos-Ospino, G. A. (2020). Confirmatory factor analysis of the five-item version of the Francis scale = of attitude towards Christianity in adolescent students. Journal of Beliefs & Values, 41, 51-57. https://doi.org/10.1080/13617672.2019.1638877 =

Campo-Arias, A., Herazo, E., & Oviedo, H. C. (2016). = Valoración psicométrica de la e= scala breve para racismo moderno. Revista de Salud Pública, 18, 437-446. https://doi.org/10.15446/rsap.v18n3.41291

Campo-Arias, A., Herazo, E., & Oviedo, H. C. (2017). Estructura interna y confiabilidad de la escala breve= de Francis en estudiantes de medicina. Pensamiento Psicológico, 15(2), 7-14. ISSN: 2665-3281

Campo-Arias, A., Oviedo, H. C., &= amp; Herazo, E. (2014). Correlación entre homofobia y racismo en estudiantes de= medicina. Psicología desde el Caribe, 31, 25-37. ISSN: 2011-7485

Castillo Nuñez, J., Derluyn, I., & Valcke, M. (2019). Student teachers' cognitions to integrate comprehensive sexuality education into their future teaching practices in Ecuador. Teaching and Teacher Education, 79, 38-47. https://doi.org/10.1016/j.tate.2018.12.007 

Corrales, J. (2017). Understanding the uneven spread of L= GBT rights in Latin America and the Caribbean, 1999-2013. Journal of Researc= h in Gender Studies, 7, 52–82. ISSN: 2164-0262

Dellaposta, D. (2018). Gay acquaintanceship and attitudes toward homosexuality: A conservative test. Socius: Sociological Research= for a Dynamic World, 4, 1-12. https://doi.org/10.1177/2378023118798959

Dorsen, C. (2012). An integrative review of nurse attitud= es towards lesbian, gay, bisexual, and transgender patients. Canadian Journ= al of Nursing Research (CJNR), 44(3), 18–43. ISSN: 0844-5621<= /span>

Flood, J., McLaughlin, C., & Prentice, G. (2013). Minority stress, homonegativity, alcohol use and mental health among college gay males. Journal of Gay & Lesbian Mental Health, 17(4), 367–= 386. https://doi.org/10.1080/19359705.2013.800006

Gates, G. J. (2013). Demographics and LGBT health. Jou= rnal of Health and Social Behavior, 54(1), 72–74. https://doi.org/10.1177/0022146512474429

González, C. (2020, October 2). Panama should uphold = the rights of same-sex couples. Human Rights Watch. http://www.hrw.org/news/2020/10/02/panama-should-uphold-rights-same-sex-cou= ples?search=3Dsame+sex+marriage+Panama#

Gulevich, O., Krivoshchekov, V., & Sorokina, A. (2021= ). Gender identification and attitudes toward gay people: Gender and sexuality differences and similarities. Current Psychology, 42, 7197–7210= . https://doi.org/10.1007/s12144-021-02050-6

Gyasi-Gyamerah, A. A., Amissah, C. M., & Danquah, S. = A. (2019). Changing attitudes toward homosexuality in Ghana: The power of attributional discourse. Sage Open, 9(2), 2158244019856712. https://doi.org/10.1177/2158244019856712

Hartwell, E. E., Serovich, J. M., Reed, S. J., Boisvert, = D., & Falbo, T. (2017). A systematic review of gay, lesbian, and bisexual research samples in couple and family therapy journals. Journal of Marit= al and Family Therapy, 43, 482–501. https://doi.org/10.1111/jmft.12220 <= o:p>

Hatzenbuehler, M. L., Bellatorre, A., & Muennig, P. (2014). Anti-gay prejudice and all-cause mortality among heterosexuals in t= he United States. American Journal of Public Health, 104(2), 332-337. https://doi.org/10.2105/ajph.2013.301678

Hirai, M., Dolma, S., Popan, J. R., & Winkel, M. H. (2018). Machismo predicts prejudice toward lesbian and gay individuals: Tes= ting a mediating role of contact. Sexuality Research and Social Policy, 15(4), 497-503. https://doi.org/10.1007/s13178-017-0308-7

Hong, L., He, X., Xue, L., Guo, L., & Liu, W. (2022). Comprehensive sexuality education improves primary students’ explicit and implicit attitudes toward homosexuality. International Journal of Sexual Health, 34(3), 503-520. https://doi.org/10.1080/19317611.2022.2067282

Inter-American Commission on Human Rights (IACHR). (2023)= . IACHR calls on Panama to guarantee marriage equality and the right to equality and non-discrimination. https://www.oas.org/en/IACHR/jsForm/?File=3D/en/iachr/media_center/PRelease= s/2023/047.asp

Ju, D. H. (2022). Factors shaping Asian Americans’ atti= tudes toward homosexuality. Ethnic and Racial Studies, 45(5), 851–874. https://doi.org/10.1080/01419870.2021.1884732

Jäckle, S., & Wenzelburger, G. (2015). Religion, religiosity, and the attitudes toward homosexuality—A multilevel analysis= of 79 countries. Journal of Homosexuality, 62, 207-241. https://doi.org/10.1080/00918369.2014.969071

Kite, M. E., Whitley, J. B. E., Buxton, K., & Ballas,= H. (2021). Gender differences in anti-gay prejudice: Evidence for stability and change. Sex Roles, 85(11), 721–750. https://doi.org/10.1007/s11199-021-01227-4

Konstantinidis, C., Bebetsos, E., Filippou, F., & Zet= ou, E. (2021). Gender-related attitudes toward homosexuality in Greece. Chan= ging Societies & Personalities, 5(4), 669-685. https://doi.org/10.15826/csp.2021.5.4.156

Lin, H. C., Lin, Y. C., Chang, Y. P., Lu, W. H., & Ye= n, C. F. (2021). Attitudes toward homosexuality among nurses in Taiwan: Effect= s of survey year and sociodemographic characteristics. International Journal = of Environmental Research and Public Health, 18(7), 3465. https://doi.org/10.3390/ijerph18073465

Lin, Z., & Lee, J. (2024). Changing attitudes toward homosexuality in South Korea, 1996–2018. Social Science Research, 118<= /i>, 102972. https://doi.org/10.1016/j.ssresearch.2023.102972<= /p>

Lingiardi, V., Falanga, S., & D’Augelli, A. R. (200= 5). The evaluation of homophobia in an Italian sample. Archives of Sexual Behavior, 34(1), 81-93. https://doi.org/10.1007/s10508-005-1002-z =

López-Sáez, M. Ã., García-Dauder, D., & Montero, = I. (2020). Correlate attitudes toward LGBT and sexism in Spanish psychology students. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.02063

Moral de la Rubia, J., & Vall= e, A. (2011). Escala de actitudes hacia lesbianas y hombres homosexuales en MÃ= ©xico (ATLG) 2. Distribución y evidencias de validez. Nova scientia, 4, 153-171. https://doi.org/10.21640/ns.v4i7.180

Moral de la Rubia, J., & Vall= e De la O, A. (2014). Measurement of attitudes toward lesbians and gay men in students of health sciences from northeast Mexico. = Journal of Behavior, Health & Social Issues, 6(1), 51-65. ISSN: 2007-0780

Moreno, A., Herazo, E., Oviedo, H., & Campo-Arias, A. (2015). Measuring homonegativity: Psychometric analysis of Herek’s Attitu= des toward lesbians and gay men scale (ATLG) in Colombia, South America. Journal of Homosexuality, 62(7), 924-935. https://doi.org/10.= 1080/00918369.2014.1003014

Nieto-Gutierrez, W., Komori-Pario= na, J. K., Sánchez, A. G., Centeno-Leguía, D., Arestegui-Sánchez, L., Kather= ine, M. D. L. T.-R., Niño-Garcia, R., Mendoza-Aucaruri, L., Mejia, C. R., & Quiñones-Laveriano, D. M. (2019). Factores asociados a la homofobia en estudiantes de Medicina de once universidades peruanas. Revista Colombia= na de Psiquiatría, 48(4), 208-214. https://doi.org/10.1016/j.rcp.2018.01.= 003

Nierman, A. J., Thompson, S. C., Bryan, A., & Mahaffey, A. L. (2007). Gender role beliefs and attitudes toward lesbians and gay men in Chile and the U.S= . Sex Roles, 57(1), 61-67. https://doi.org/10.1007/s11199-007-9197-1

Papadaki, V., Plotnikof, K., Gioumidou, M., Zisimou, V., & Papadaki, E. (2015). A comparison of attitudes toward lesbians and gay men among students of helping professions in Crete, Greece: The cases of so= cial work, psychology, medicine, and nursing. Journal of Homosexuality, 62, 735-762. https://doi.org/10.1080/00918369.2014.998956

Pew Research Center. (2014). Religion in Latin America: Widespread change in a historically Catholic region. https://www.pewresearch.org/religion/2014/11/13/religion-in-latin-america/ =

Redman, S. M. (2018). Effects of same-sex legislation on attitudes toward homosexuality. Political Research Quarterly, 71(3), 628–641. https://doi.org/10.1177/1065912917753077

Rees, S. N., Crowe, M., & Harris, S. (2021). The lesb= ian, gay, bisexual and transgender communities' mental health care needs and experiences of mental health services: An integrative review of qualitative studies. Journal of Psychiatric and Mental Health Nursing, 28(4), 578-589. https://doi.org/https://doi.org/10.1111/jpm.12720

Rodriguez Blanco, E., De León, N= ., Marco, Y., & Camara Cañizares, S. (2020). Diagnóstico de género sobr= e la educación de las mujeres en Panamá. Acción y Reflexión Educativa, 45= , 102–131. https://doi.org/10.48204/j.are.n45a5

Rollè, L., Sechi, C., Santonicco= lo, F., Trombetta, T., & Brustia, P. (2022). The relationship between sexism, affective states, and attitudes toward homosexuality in a sample of heterosexual Italian people. Sexuality Rese= arch and Social Policy, 19(1), 194-206. https://doi.org/10.1007/s13178-021-00534-5

Svenson, N., & De Gracia, G. (2020). Educación superior y COVID-19 en= la República de Panamá. Revista de Educación Superior en América Latina= , 8, 15-19. ISSN: 2539-2522

Taylor, C. J. (2020). Health consequences of laws and public policies that targ= et, or protect, marginalized populations. Sociology Compass, 14(2), e127= 53. https://doi.org/10.1111/soc4.12753

Worthen, M. G. F. (2012). Understanding college student attitudes toward LGBT individuals. Sociological Focus, 45(4), 285–= 305. https://doi.org/10.1080/00380237.2012.712857

 <= /o:p>

------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/item0001.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/props002.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/item0003.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml This value indicates the number of saves or revisio= ns. The application is responsible for updating this value after each revis= ion. ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/props004.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/item0005.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml DocumentLibraryFormD= ocumentLibraryFormDocumentLibraryForm ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/props006.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/item0007.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/props008.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/themedata.thmx Content-Transfer-Encoding: base64 Content-Type: application/vnd.ms-officetheme UEsDBBQABgAIAAAAIQDp3g+//wAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy07DMBBF 90j8g+UtSpyyQAgl6YLHjseifMDImSQWydiyp1X790zSVEKoIBZsLNkz954743K9Hwe1w5icp0qv 8kIrJOsbR12l3zdP2a1WiYEaGDxhpQ+Y9Lq+vCg3h4BJiZpSpXvmcGdMsj2OkHIfkKTS+jgCyzV2 JoD9gA7NdVHcGOuJkTjjyUPX5QO2sB1YPe7l+Zgk4pC0uj82TqxKQwiDs8CS1Oyo+UbJFkIuyrkn 9S6kK4mhzVnCVPkZsOheZTXRNajeIPILjBLDsAyJX89nIBkt5r87nons29ZZbLzdjrKOfDZezE7B /xRg9T/oE9PMf1t/AgAA//8DAFBLAwQUAAYACAAAACEApdan58AAAAA2AQAACwAAAF9yZWxzLy5y ZWxzhI/PasMwDIfvhb2D0X1R0sMYJXYvpZBDL6N9AOEof2giG9sb69tPxwYKuwiEpO/3qT3+rov5 4ZTnIBaaqgbD4kM/y2jhdj2/f4LJhaSnJQhbeHCGo3vbtV+8UNGjPM0xG6VItjCVEg+I2U+8Uq5C ZNHJENJKRds0YiR/p5FxX9cfmJ4Z4DZM0/UWUtc3YK6PqMn/s8MwzJ5PwX+vLOVFBG43lExp5GKh qC/jU72QqGWq1B7Qtbj51v0BAAD//wMAUEsDBBQABgAIAAAAIQBreZYWgwAAAIoAAAAcAAAAdGhl bWUvdGhlbWUvdGhlbWVNYW5hZ2VyLnhtbAzMTQrDIBBA4X2hd5DZN2O7KEVissuuu/YAQ5waQceg 0p/b1+XjgzfO3xTVm0sNWSycBw2KZc0uiLfwfCynG6jaSBzFLGzhxxXm6XgYybSNE99JyHNRfSPV kIWttd0g1rUr1SHvLN1euSRqPYtHV+jT9yniResrJgoCOP0BAAD//wMAUEsDBBQABgAIAAAAIQDD c3oZrAYAAKYbAAAWAAAAdGhlbWUvdGhlbWUvdGhlbWUxLnhtbOxZTW8bRRi+I/EfRntvYyd2Gkd1 qtixG0jTRrFb1ON4d7w7zezOamac1DfUHpGQEAVxoBI3Dgio1Epcyq8JFEGR+hd4Z2Z3vROvSdJG UEFzaL2zz/v9Me/MXr12P2bokAhJedL26pdrHiKJzwOahG3v9rB/ac1DUuEkwIwnpO1NifSubbz/ 3lW8riISEwT0iVzHbS9SKl1fWpI+LGN5mackgXdjLmKs4FGES4HAR8A3ZkvLtdrqUoxp4qEEx8B2 CDQoIOjWeEx94m3k7HsMZCRK6gWfiYFmTjKaEjY4qGuEnMouE+gQs7YHkgJ+NCT3lYcYlgpetL2a +fOWNq4u4fWMiKkFtCW6vvnL6DKC4GDZyBThqBBa7zdaV7YK/gbA1Dyu1+t1e/WCnwFg3wdLrS5l no3+Wr2T8yyB7M953t1as9Zw8SX+K3M6tzqdTrOV6WKZGpD92ZjDr9VWG5vLDt6ALL45h290Nrvd VQdvQBa/OofvX2mtNly8AUWMJgdzaB3Qfj/jXkDGnG1XwtcAvlbL4DMUZEORXVrEmCdqUa7F+B4X fQBoIMOKJkhNUzLGPuRxF8cjQbEWgNcJLr2xS76cW9KykPQFTVXb+zDFUBMzfq+ef//q+VN0/ODZ 8YOfjh8+PH7wo2XkUG3jJCxTvfz2sz8ff4z+ePrNy0dfVONlGf/rD5/88vPn1UAon5k6L7588tuz Jy+++vT37x5VwDcFHpXhQxoTiW6SI7TPYzDMeMXVnIzE+SiGEaZlis0klDjBWkoF/56KHPTNKWZZ dBw9OsT14B0B7aMKeH1yz1F4EImJohWSd6LYAe5yzjpcVHphR8squXk4ScJq4WJSxu1jfFglu4sT J769SQp9M09Lx/BuRBw19xhOFA5JQhTS7/gBIRXW3aXU8esu9QWXfKzQXYo6mFa6ZEhHTjbNiLZp DHGZVtkM8XZ8s3sHdTirsnqLHLpIqArMKpQfEua48TqeKBxXsRzimJUdfgOrqErJwVT4ZVxPKoh0 SBhHvYBIWUVzS4C9paDvYOhYlWHfZdPYRQpFD6p43sCcl5Fb/KAb4Titwg5oEpWxH8gDSFGM9riq gu9yt0L0M8QBJwvDfYcSJ9ynd4PbNHRUmiWIfjMRFbG8TriTv4MpG2NiWg00dadXxzT5u8bNKHRu K+HiGje0yhdfP67Q+21t2Zuwe1XVzPaJRr0Id7I9d7kI6NvfnbfwJNkjUBDzW9S75vyuOXv/+ea8 qJ4vviXPujA0aD2L2EHbjN3xwql7TBkbqCkjN6QZvCXsPUEfFjWdOXOS4hSWRvBTVzIIcHChwIYG Ca4+oioaRDiFob3uaSahzFiHEqVcwmHRLFfy1ngY/JU9ajb1IcR2DonVLg/s8opezs8aBRujVWgO tLmgFc3grMJWrmRMwbbXEVbXSp1ZWt2oZpqiI60wWbvYHMrB5YVpsFh4E4YaBKMQeHkVTv1aNBx2 MCOB9ruNUR4WE4WLDJGMMNwpmOuAprZ7PkZ1E6Q8V+YM0XbYZNAHx1O8VpLW0mzfQNpZglQW11gg Lo/em0Qpz+BZlIDbyXJkSbk4WYKO2l6rudz0kI/TtjeGczL8jFOIutRzJGYhXDf5Sti0P7WYTZXP otnKDXOLoA5XH9bvcwY7fSAVUm1hGdnUMK+yFGCJlmT1X26CWy/KgIpudDYtVtYgGf41LcCPbmjJ eEx8VQ52aUX7zj5mrZRPFBGDKDhCIzYR+xjCr1MV7AmohOsO0xH0A9zNaW+bV25zzoqufCNmcHYd szTCWbvVJZpXsoWbhlToYJ5K6oFtlbob485viin5CzKlnMb/M1P0fgK3DyuBjoAPl8MCI10pbY8L FXHoQmlE/b6AwcH0DsgWuN+F15BUcEVt/hfkUP9va87yMGUNh0i1T0MkKOxHKhKE7EFbMtl3CrN6 tndZlixjZDKqpK5MrdojckjYUPfAVb23eyiCVDfdJGsDBncy/9znrIJGoR5yyvXmdLJi77U18E9P PraYwSi3D5uBJvd/oWIxHsx2VUtvyPO9t2yIfjEbsxp5VYCw0lbQysr+NVU451ZrO9acxcvNXDmI 4rzFsFgMRCncISH9D+x/VPjMfu3QG+qQ70NvRfDxQjODtIGsvmQHD6QbpF0cweBkF20yaVbWtdno pL2Wb9YXPOkWck84W2t2lnif09nFcOaKc2rxIp2dedjxtV1b6GqI7MkShaVxfpAxgTEfyspfsvjo HgR6C74ZTJiSJpngO5XAMEMPTB1A8VuJhnTjLwAAAP//AwBQSwMEFAAGAAgAAAAhAA3RkJ+2AAAA GwEAACcAAAB0aGVtZS90aGVtZS9fcmVscy90aGVtZU1hbmFnZXIueG1sLnJlbHOEj00KwjAUhPeC dwhvb9O6EJEm3YjQrdQDhOQ1DTY/JFHs7Q2uLAguh2G+mWm7l53JE2My3jFoqhoIOumVcZrBbbjs jkBSFk6J2TtksGCCjm837RVnkUsoTSYkUiguMZhyDidKk5zQilT5gK44o49W5CKjpkHIu9BI93V9 oPGbAXzFJL1iEHvVABmWUJr/s/04GolnLx8WXf5RQXPZhQUoosbM4CObqkwEylu6usTfAAAA//8D AFBLAQItABQABgAIAAAAIQDp3g+//wAAABwCAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9U eXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAKXWp+fAAAAANgEAAAsAAAAAAAAAAAAAAAAAMAEAAF9y ZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAGt5lhaDAAAAigAAABwAAAAAAAAAAAAAAAAAGQIAAHRo ZW1lL3RoZW1lL3RoZW1lTWFuYWdlci54bWxQSwECLQAUAAYACAAAACEAw3N6GawGAACmGwAAFgAA AAAAAAAAAAAAAADWAgAAdGhlbWUvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQABgAIAAAAIQAN0ZCf tgAAABsBAAAnAAAAAAAAAAAAAAAAALYJAAB0aGVtZS90aGVtZS9fcmVscy90aGVtZU1hbmFnZXIu eG1sLnJlbHNQSwUGAAAAAAUABQBdAQAAsQoAAAAA ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/image001.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAMAAAGEbayfAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAGGUExURQAAANTUKq7ZPMfggqzSRqzSR6zSSJnHG5nHHff77q3TSrLdPqbMOOXxxuXx x6PMM6PMNNLmm6TNM6TNNKTNNdPnnaK5LqXON6XOOJvHH8LeeKfQOcvijPr89afNOarTOujyyujy y57KJ7rZZcPdeJm7M6jPPajPPrzbbMXffcbggMbgga3XPKvVOqDKKqDKK8fhg6DKLP7+/bTWV6HL Lv///v///6LML77bbu3117HaP7/ccKXNOKzRRqzRR6XOOK3SSKTJOdzss5rHHJrHHabNOKnUON3t tPn88fn886TLOObxx6/ZPK3ZN6TMNOfyyqrUOp3KJqXNNqXNN6XMOKXNObnZZOjzzabOOKbOOabO OtXoorLaPqfPOqfPO6zWO6zWPMPeeKXNN6XNOKjQOvL44sTfe///AMTffcTffqTNOJ7JJ6XOOOny zLHdP5/KKJ/KKbDaPJ/KKrDaPf3++7XhPurzz6DLKqDLLP7//qnPP+z11arQQtnqqafPOavRQ6vR RdrrrbA+ZP4AAAB/dFJOUwAG/f//////////TVH///////////8L/////////0P///////8P//// ////7eL///////////////9M/+f//+D/Pv///+MS////cf/M////0f///+D/////////Tf////// 4eH///8B///i/+L/TP///////////////////3fV68j7AAAACXBIWXMAABcRAAAXEQHKJvM/AAAB nElEQVQoUzVRaXMSQRRs0PXEcwhBo2wwQRIO8RyiQSKRYIJoCLoxvZGIuoq3jrjeov5z31DSH6a6 el7P6+oBloA39QfAZBJwAeUEoNMEjl4gI3BVnX8JZAIOASR4EKh8Igeg/rxwV8505yyi1Wq2C7QY ygyKd0h6vRrQMMnH5Rf5zTjbIJWup9k59IeIeUrffJb/dWxLDCkj4+RUoW/N71yuJCxB7dE9kU1R aGSw56Wd8SpAmzuXZvL5M75pIKCTm975fuU3n8r7Ti79lUfWFMe8dLXjIqSza/3krD7uxdDs+tmf jvORUaBfmLJP0qTssmFIBq2MpYLMsBUG9jIIW8P/Yj9VMEE1uzUySVxTSNnAzWg3Gd+ev1wuCco+ 2Y1KebHQo7qhz+89rL/pi/tvXS/7XhiDK0bl6Fw9vb6h1Ps5fUpKdiXuWJbQ9F8v6gOKxCuJMJLf 3t5X+vBlQi+cY/AEjbah2r36/MTyaa31j0XVoWk3pKTKQJZO+nEliEtZg0pklLxW7BnP7hDN9Iry L2Mkrt2XSO7Kw1HjwD/s6W4e+ETjBwAAAABJRU5ErkJggk== ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/image002.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAFQAAAAuCAYAAAC20j5mAAAAAXNSR0IArs4c6QAAAHhlWElmTU0A KgAAAAgABAEaAAUAAAABAAAAPgEbAAUAAAABAAAARgEoAAMAAAABAAIAAIdpAAQAAAABAAAATgAA AAAAAADcAAAAAQAAANwAAAABAAOgAQADAAAAAQABAACgAgAEAAAAAQAAAFSgAwAEAAAAAQAAAC4A AAAAfx3uaAAAAAlwSFlzAAAh1QAAIdUBBJy0nQAABq1JREFUaAXtmm9sFEUUwN/s32uhhaPQFpQU NDZI+FP+VVtC0iIx+KlKkABBEmP8YNQY/AJGIqiJiUZR41dNFA2QCBj4QkIQ0EorFAoRwaQECUih tNqjLfR29253fG+3V27vCtxt7/bQ7DTbvZud997M797Mvje7AEEJCAQEAgIBgYBAQCAgEBDIgADL oE3BmmzlIFSdaSiVTLOIOhEXxejlmqP9WxlYBevUfQw/cEB3ti+ewkRrGXDWiH2fzTmv5ADFNA7s 7CBjrAs4PweC+CM3+aE1849du88Yfb38wADddaa2Gpj0BnZopSizcuqYaXKwyBeRqF2wUhAARJHZ VXGD9+CH3cCEz1bX/NIx1Kqgp4IDPXKkQeouM95EMJskhYVjOkFMELw3G0FgIKsM4jEeQfAfVs5V PmlkR+P3lsrv1YIC3XFywURBVr+UFdaUDchUJAmwhsb3c1N/ae3CU3+ntvHre8GAbj9WX66M4T8o qlivRU17vKZloKNaIAkqfs++a6EiEQzdajFuw3PrF7d0+wUx2Q6uSP6XI5caQnIx/1ZWhWGYBHJ6 2TMwq/JFEG2gmU375N7TD6OorJ50k43ka359LgjQzoi+RS0SntajTvTDuQVFUhnUVb0D8x56HSrG LgDyVi9FQ52ku/MffYsX+dHK+A501+n6RbLENujanVASQyHQ431woWcvXOs7BpFoBwhM9jw20o3r 8obv0JZnJR4FJY9ynsUsbm1WJVHVteQpTWGQCW1/fWTrFZgEjIlYh3/cWV/dBnGBwHoGAi4PBN69 3qLDA0YMqhW33saLz7pl8/vN3ZP82oIdp56YI4hCG+eg4OEqGMDDwqkboESdCq2X34fB2A2YNGYu zJ3yCuLCPwTsBKQYJllR6Ncuw/X+X6Fr4CTCjaFHu30DnZ44G9y0Fq1dcPw3l7E8fnH3Io+GSDUX xBV401BonUsvHCaOmQMTimeAyFT0TAtCUhgqSxbheqqDFu9FERstSGIxTCmthxnlaxBom+3Z/dol hKoMq6UfTA0JijbIV2Dl/w8oDpDtbIenzJFm8BAG8jQ6EqkR3fmpXOzdD21XPsZwyrlx07k0VAXV k1ZBVXgZND76KRy68CrcNq67PNVCWwJjS9H2u+ixKXPCVp3zf77dlLafqJ0AAn+M0slsC3mrxQ37 MPGsm31wY6Admv/cCOe6voax6sMYHbyGat26yRbWVH9/vi6crU2v7X0DqkpCOY4uzDNMK9MH5CyK zqSnm5GCeb0MZ7u+gj6c7lPHN8C40CMI/U7mOWQrrGm8Il1ffmp8A2parASHoLh9aHSDort8zLwF 1/pbcWrLuP4+7gbqqFdEx/bojGUo7RvQDPvjqVk01mPLhaTxnuRzKeQbUFHgA9hxIx9xWpE8yWai m/0uNkO2DNOx7bqWry++AdXjVjdGPRGGW265KhQFKGIJhlB19lTvHfzDdZcfshUJhdiNXNm8nx7f gK6vPdHLOOugzeHRF8qU4nZ8OrPiBbwZTYerN3+Cm9GLLqBkC611PD+zNTJ6m5lp8A0oxYGYdh4W KOHJulD4Yw0flDWNC02DJ6s2w+zJL8MtvRNOd36RppVsWZwf9isGpQ74mikh0724X/kWDjAt9aTO UProbIo4Xmz7F9ZPCy+HsuJZmH46vz9Nc0pRqfTcOgPHr3wAA8ZVzLDuZEpoA2K6Zcgy22M39Omf r0App97ZXndACQlNybtNibFSPGn7ImZLFBIZ5m17GhNIVSq1m1FKGcP6S70H4Grfz9DZ12xP/WSY 1FBRUV6zDqyqaT2b0O/HORcLWlb9pC01WYRmfG6k0q5QcnE8knLExAWsGfLK5HbcXj+d/VIK8FN3 m0gEU049psOSdbUtbcmy+f7s2xqaGMi6eS1tZpxvw42LRNXw2Vknk5N99FeEl3qQAO3qOzv76T6h ondi2rnNb5jUr/RRUW2ey+Sw+h7u1h8MFaWaJzipgBJ1qeeRO0k6cTk5SDZGbpHf2tQR5dfakPbG 6Uc1kUvrcI1rSYfqvQuky9B5C+kmG941eZcsCFDq7qr5zT2WaTTho999+AwINzpSPTPzQZEs6TAM vs+K602kO3Pp3LYsGFAaBj0/r7iprIxrfCPO9Ei2YBMgMUSKGFG+qaJXWVnIZ/I0Ju9uQdI5LN8c r61WQ9m9imPGeDdGUbuBxz9fXXMieBVnpN9jz/klk03TXIa77Uvx+ogvi3HGf0dPOMxNIXhZbCSI d6vb+h98nfFuYwnqAwIBgYBAQCAgEBAICAQEXAT+BVf2lXd/sCCNAAAAAElFTkSuQmCC ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/image003.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAAEC4R4BViUT9f3AiuplIikLC3NEguIdC4hLSy9wNK5pEiX0p2KSIOkdAuCtHSItHSD IB3foo/v83+u5/2+b6577tk5c86cc8+eOfM7gwYAAGxR9W85RQMAcFH1b1kFAwAKFAAASEZZFgBA Azx+iwboAwIAqOc/yjaK8BEDABBHye7/xwiq8wMI8CvEAKAmAJAtAQB3UVVOGiqFEhH/y/pX761q kKy06m278AMAYEe1jKrSshxgTl5cxo6Vnytb+Yfvhzo6cXlB3CAHE2vcp09BXLJWti4IJKq1hbsg pBGmDmYIEJcSwt7CxRIE5uUWBImK4jq7IBFwO1wPtBIdZYclCGHzlrZj5TMOZrCU+mVc46wyZPYR 7hFhR21ePkBCleGVDP7VhTeVekITkdUdHcpylrA0WhqLOcpN4UbE/NTK1yIzgjKlkZNf/iy0dXD1 X6fe8HSts00hA9iXd6Pc1qL80WR7QcY34MHrMCaH3ZT3e7P3mrA5953mrGg5XB0IGpkM37x6SHGA ToNJAORtM7J9uZSAQx2wsnq/sV03S7gYVMd7QHzTq1BagrTdsuW+ciXQc0m+flI2dR1ssHuCi71N MzVffFUOp1CpYaYRsLWBNX4vj6rOpww55jpqnONbxOS8hl+ITdWKwF8sPCff9cOd9uyytnfldWpM XE6+bBNqKv0xv4Fj0Abfbyw95Rc5Saf/NL6y2TQzenHsI7U6abEmtYX+DhuInKqaXhdyn691MrHy SiMrU1KqA74mMVns58Sx/QgHhis5q64RRRwm6n86s037EXUksodNrvS+gREiOeojOMV34bvmVnsf kunVP4HtXGtlSW5jt02XksM6UCHRFJVEVAZ2HFCvepu7I+/7YvRHUnrJXGhalmBS4lnQJSxEtz/U tKazGjFWbBiSNoKn5kyijxMXNPYdQ8HMQJY9+IQwwMEPj7o6pg9slDqB5rHymvfpjhREhor13jTW xLvsqg4OO6zPj4EV2yE53eZbNeezlmzhmBTe2LsPmeySvw9+jFQCv7eJkC9hPv7GrhrUZqZ1L8ex GS0dKCRvd/ph0z9BP6ylVj5VMoePUaTOgcVMUglIKhreQOjLllD8wD096lFRRzLJ4+7eS3vyA1HF oYoCXatVbqpxeiVfHdn3XuqV4R7Cok5E3UlAABteu1B3yinbvCCJNAVQ7F7nKm077wODoYCTsCE1 N1Hn+W2sCqJnDGI6+CzaxF0985lr5qzDhjSHl3k8qvEAy+8FSW1TMtrmLoO57ecM02nomfl3onLc 9U98OC4qA6YXuE8VF2WlM9mkwY4nco+3vNan3jW+G1kdsk70iYtK2uiqh+NVjKNfMGhkuDXOK2hQ +dc0pFnQD+ElVkK/4CdURgjjlgU1chDifbaim+E4Lvdz7QpmKo7W6Z1+XrGseVeUYS1LyJ+bsOej 0scMseSHwiY7mzBhE5GiWgRBrzP1i0X5WVFPQaY5Wqu0M+Ss8VeinyOexA8jYh4qtIOvKnIz3o9O EGwkl5ASMz5i1rVpUSL+gsbgj073uGr0gLuTnaJzHT9s4wk++YPdrhYmkQd847BdbmzTuyL5gSVR 50+l9i30CAs36ozFLK9zdPaZJnHHInLRg0BeTflIuGdwVzIVHWNU0EzQGMH40OUZkZYk8yga0lab LWTAaSfbp+i8B/FU0po4rDhQo7DDKcFekjetoFxNC0ktYW3Tm0ob/MOgwIgQrZK5L4fZR7Az4Rva 1lqL+WOiCdVkECDG5PAtP3HA2J0PQgn1pHQCDriMVnQjwXmtulL+ou6y+jmJjtWqvKXnW7/yywQa 51+h47x4/sT5mSr4Vy1B6JfPja/QWdOKHrciU1neVyw/fc1jXl0qkfAF22dtiUNt6ZRpqW/8l+6W u5TZVdNVe2tbg3nucn75J/avcB3TfpZ+CdPIzhD+PHZDUsyWmMrAq0vIOuXn8CAPD8ZDueL2pcZo BeqRHgnWnLLR8YK3327kZY4VjMp27Dnr3kyLn8QQJiQJrv3y+DTOe4k5gO8A7HqEzfIrZ9F/OxDY bThKH8MToaoMsrS8Q575iIe4a6GbpHPIOXr72Ned8r4lLsLe7F9hEvXrNriC/xFkNV84oqKqKtzi 9xuJsHcB8aCG1UFc6ghnB1ekKcIZxPeHIOVg74IadwbdBmkUgzLCzAou6eAB0uNGEXghvCCwEI8B Lioq/0vPrdzfYK6KdDDVQLiA9FDKpGVBXJoIDxeQAYhLysHWAanhCDdFgG5jvpQzGMT/e3pRUVTk R2n8TdbU5AEJ3JJxuTQ1+UBCvzlQPyEg8O3HoIzR1BREHQp/Jf9tA/ifRjxDmc4lcXuq2KOOFBCX NMLNyhShLif5P+cKDwTM87+fPP88bNKT3DU1pkhfDTYLNA8R04EYjyg8cUAjwvIPgGqhUD9V9JAg JjfpO7IkRCzPzTRb0eRe0ZnKkOAFBphM4vwkVO1sU5OWWZmNsMHZK+E/nEu76oLNT63VTk5Z7HlP NgBULwOAn1100Pz4MnVIdrfa9Inv93WcoJMRouHroLUumpsD5U6l0ccum0VSUwvkOyuPdzn9zBqn 2T+pMjlP3PjG0glIMWACcGXGIU99mB6uoCdoVH4h57kB9h4lsvCEgHlIM3GyiumWOspsj/NX2Rp7 UpKZljMpYAPkTXzvIhpV59IYF7MjgJn6KYwLFtleWIhmTWgaYOXk8ejo6VslADdJqlH/GlOmbSiP DAn5buhPdAB2QodQExI//EzI8h3AI89iOQwYCjXJI5pMsVpZ7zY/P6jUODMBsyW0Ky++9lAaPKq6 G8X90K/MIUkGjRFml2oZu1NCtbMDm1i1PPs0Nf/IR+NKpNvzQuuAaXvwnUTEO9i87XYxVzMp4JhB 9w11ZUuiFqDKDlN8ZbFYZQ8E+HkHUDX39vBRiK1hXMePu8x44dvbts5oGTacbOsCFxkBDr2fQoRO Uvt2L54L5z0U86eHPuBFyKzk5ecpSvf338VPHjS7OiG8WWoVsvra087+NqP14UHwupbaegJOUKhl Y/BTf50YTjPcIN/xRV8yCDMWuU+6DYmlqxHAO1hItQ6K1e0gApCix2CwF/NE997SIwTjdrc0WZbE ljlH83her53T4OmH2S8qSdBprB7fjTZDMmaxk2fPB9m2oRPHYLm8x+Xz5+RGZze+R+XH64gxBwIE +ckTYiRhcMqjW4kDKyREvwFwJcDf0NwCrR0BY/6eQ8BnARBHTH2gdus9R7y7fnLiuCFtitxoc/5W 2AH7hA+yJD7EkOYQpEpOEFLqYr+QklAVJMH4IhUaQxgnfjbEVEDGGvghU0pV5IjehaIB2yDw/D3W EIgP8wrNO4goBX0Ufu8boMZvqlyYClvuc9+CtMeDt1gPW6cXFepIRfFrPz9cpNwHsAcbfY7HFu/G xhiW1cGmPJCWjNFhQCOitYmly0EvlEmLwc+hrI+Uj3VaxsB8lQlPISPtJF96BYtYNHkOnzBR4B5P MU15rvRwFWJOyOt/FpBrMv4xT4e5WMwNB0L0JpKj47lxtLFeefJHjG/wbWEq/K5W8h9Ujj51ZPo8 9vylwFqCyYhGv632e4tMBx5NrHMkewEEbc77Jl60Lbi+VL6P5qNpOj8xx+DoAm0CCGiTQAy2DJqE FNhr2FdBRJ/51PwLVFzoQghfdOibsHyM+ibRBKViehZPAg1heKjOwJJa5a8JtaYzYBJhaqaN73li Jockg4kbqpQyZICMGAnixFQTHjORqChQyUhOPRNSqBd/If5CKlf9XoH9mM6HlIZ0XZVmaW8Fby65 eN7kw+SlnpL4olibxK3kl4wqCZPJ7slGnBnMRrS+Ctd5l3Xoam3ibRr+2eXPM2UXqz6LBENl0rIS TV6bpJmEmgT+4P+ixtgU5x9XS6xSKL5RPsKYS0shOZr7YqSuSrnqyXfEd25qOYGci9H4jS9HNOvN RzgIRoTeyuMVqhWKlcpedczP3ManvOrkuRHxEY0R0Yd8q/WDS4PTkDIrw5smlsQzVntWr0S6RPNE tMToD0paDuMk4+kf7D6ojHFbM1nDraesL8Y5iyIH8wfd3w2mG/HdLF++2ixvCPWsO7f+1b4pshlP kUbRQkFOoUWRzNfJT55mn9aTtpK2xtdVZamLVw3UXdFdqzbkTkzd7dc0Z6wMF8osKd3J5xgWzZkt EikxLajUsch+Vjlw3yCOU09Aola/VsNdUkWRS4fLqExtL1NULaMkI+eT3Cc9397WIdB343CJN20F mWGZn+Dv4NmLpvQfYouGWbN1s4U7BU1rnMIORJf0mMpD06Fx0MgeZY1vY3Oaxg2DVYN3bVYtmfiK +Bu7sspnYLBi2Yn3Qu1Pu72yX7w5Y8MTCdcJTyedJTVi32HX4Nhip4GxwO7o2FVtlp+3f+9IszEw 9e4KsV4yrRzIm12tLinkmHf7tOMtnGZQPkva+Kxx8Bj/mO6C6QKMJfLK41Uz/sk3F7fHjUHe40Rb 64t1AwcRS1jML5k/jkLz59NhAywD9way8e4+3H84xkGGHHZarKNCxnKacUYYeThmjmlNJy7pbp33 K09Grrl12HXMfhOZuqq7YCNQJIiVC+9KyI9foxjEM3ydXKYdq11WG3disme9ly/6RDRUNFL0fotb S5E31yn8Cv3K7Xz2cHJ/7XzyQgUoCCzGWcfNAcoCn2OJ4vHgEN9xBba3obU1BtBwjRgx6I+Rokte SrkFP8Xhv2vw4NyZjJOdr5hp+0WdloePhzuQw0RGWqqjUT66e6RbLjySVJHUXbZH7ovMuJyyzEuZ ZBnFZB12WOWybIRuBChPhJSG8sFLBjdk4cnIrOKrpe0fuEu7nLz6SZXb35HVK4V9g6UxRm0wJ9ZH lDTU84Q3ofc/F64olR4Z1buvACfjG19dxK11sq1FHhicIi5jgclBFUHD0skdBqGm0FLoA+gSuopE 9YJrhdFP/+XChJiEbBbewuHCr1ZBVadVo5KM8LByNgNeEeZmrna+bG6phl6r8V2t+1niw7FKj51h 5o0pUddKv+QjGN4wBsLwKq0r5izkEBm9av1Eq0fLacv2fdQ9hz0XPvzm/O6uFi1u1yGXbfy7Nvgl wROl+tP1z9wN2hoWf7VsRduB7OSn9vtk+yIRlPP2YXNjau/VyluMLSv3Vjsl6yXVFps5BvTwbb/Y PrDdmTWvLLGeTqYzHP5l0vcj7IcK40zc1jzMW/tstv84aKc59zj3wn3BDdt9Znaj4VAn1QRmODVU umBQstL/M+tnbaP2dstzuJ6TMYFVtFl0FU9BRbNCmbXceP5mzqY/RXTaavPmy9qd9O9d05Of5u18 R9EiMb5giT4ioWry7T5RtSmRsPsCn1ksbh/cytps+GTha+QrvSN/EDsoFyyX2/U52nVceGxSoEAg AfI5Mq7z45JTl8PVwi+pl/eLNlR5s+tPgYK0Qgc/uk5p9t7dfTr1Isz7wwbzVcZxzZBumG7mxMxE aE0OxOql0sv5Db/RdOoBag6xNzdeRxHHqWmVvRaKg7EDD96+Ecpw9/kp2Rl8EB768NUTbRfRhqrl kfTS8tK5Pv/kMsODemThdPPFpVZykUWpkIGwd7p3807IVeTEo8Z3SUbbPlYb1Xt2zRuOlVdJSyVR LXe8184NLrjmjhu8V6Ju0ikxwjHPdzlbXt4YzohseM9dDWMVEhiK9XsKXllemW4vZTHjqrC++yBW cjV+Omle2Hy0/X7SeLDytUV0SJ0U103iWZlK+53BwkE22SrZTbkSucGIs4hZz49HX/b7IpJHl4I/ sVzXnCQOF2X4uF80W5j0dOzbDG+liinMFbQInU8c262ZrS+Pulvt5eWHzRW1iB37X2VemB51xW5s q5yqJGZEirl74Vz+9GCyM1+dPwk6vPhvEH6Lcm/BMQoQQ6WkJOHOCDPQb7CqDjL4C6BvkfhfAP1v oO78f4Pet2jaFYWYwSAuRSszZxTW/gOODW5vSv5i/796b9H2nzml4C5wWweLP1mA87/g/78lbnH3 fxrxG5ZzabiauPxOHjSRrog/M91+xZ9BidsixaZpZYdwfoZwV3ewg9uranBIOtiaKWvi/gb20ghn U6SVo4sDEgSGoHTcgngHLXur3/c84N9o/xaJI51dpCzhSBAvCrorwf/V4YeAuLStzFwsnVHrB4EI gPi5uUF8fHwgHgFBED9q9Lbe9v+nRY3f8txWXtRUPPyoVlDoD+8tnR+CK4ii3/L/HQdz/4v5P9bv n8vxr8soXgjKnP/ttuqfOYNBXJ91OzehzMk1Lse0TLntCk6nqjo67Ehi1sePIzIwMzb4B/vPk2Zt qMb6D/YoC9mR6gSHk8GXYkqsvtHZdmbqVwsGCaMeUc81mV+1WcgUzhjnv8l1OP4Wwt7l6CykjJy5 8NHUSmRJ9DVe5vsS7umBNGWOvjwmTe9ooxlrn6yBGqU5Y88jScRY0serkSOm9cmQpho5tRcU6TvU m+0uqfDNsqVDYulF6ZTHpXIV2fEaliUdEzQMRVWlRbOlAx2Nvrkj+swN1xO6pK4yVe+4NotZFR8P eVbnUaDeVgXOj/10N9Fxh96aJw9pfRiAGUihpQU3+KPzJY+R4qruFFKTiGtr4t0ZCth8D6i0Qvij lyh+tSa4U/AzBnMRx7w+VkIwYDMkzBHYCwt0BH6NCnOU3pLRxV1Uwn0NKqADtbVEOMQkipPPg9j8 Tegvz+d9+/UWbOrnS0W6Xocrq7DOCu0h95G+rvC7+qADjKaamu7/3m2/Pey/vfgfPvjbJ5/B7VBp 4f/TeVH/tC3cApUU//Fiyd8JMAc/vyCIg5dHEMRz6zRgbn5+VG4LRe0rK1MJewtbBIgbNa2z6W16 LSiE2p+3im87HDwoy7ik4I7yCCsLSxdcCASVfmq4IOye30ro/KGC+PgFUOJuFr9dHsTHg+opwz3+ 9H4r/G08ygMRPCCwIEpS/Z87/pbw99P/eCwYZSa/EErT39tUfpTF/38Xbm564aXRNS4g6lzmUq2o XWHGUeNaPZ3E3pe0Mvttkg3TlBuHFtL2Bejox57CyBDzJUbEzN+cFs+K9uI7XV9QSgyffby51eiP GpU3VRuUllIXZs6SenGiyiYXJ+lsFluHl3Mnhy9uPMqeOpsLVc6kOpsPCPFO6kEMmkLIuvE/x1do PSylouu9P4MxVG+9RWoEsadhltbjEXSZC57yuH4VhK28ZlBux01JQI7DAi01qES6Qp61AIp1w4Ns 3+YBpGy4ZpBWkEfsaPrebSFalWdtAkQqBnU/R6aOe2iITgyqfn7mh10+Ii+3tRxNm/L6rig/8N12 7qYzv9s53j7ruaMgXRwQFiYw1dWck1PudY9WW79mK/xBUohKlX1J3GWrcCI1+36jzdzTk0PK/Odh 0o2hqlmBfaJ+FDcuwhLBGfOnqRIMRiv9dITulbHsakJ1L6FosZr4l9sfqEb8HAcKVEFnnZqdatlC PcZMXalUGuSy4V5xuTDNqW58wSidBYG2Er+lBxnEMESfvi5tNJptb0B4hbE3KXthTAbGuZc6mLe0 IvKJATRE+IMAkzt3wfjHOv7KYkn7icJiMtwQC0YLc3jeq3GTry6VusVm9hDXqhIRvQ+Mb2YEw/W1 aflf+a0Gxi+GLOB/Tg+4P/SSDdq64//GX4MFHCJwt5ZyFzCDI+jvSptdUs63Vii9/Lq3MZyMpZ+U SgVT03Z5NMxBzQrMqluBbf9JQUqT1TtEH0QtwXhp+VJ4i0WMgk3LOK9AsNDM7OlZz5rWU3cCFgZi bismAZUe2tSkpClxLWUIN0Ukc7TAllaQ192uwtdhcVm2hcNZI8uFDwnzL/k+qvaqn3HJygjrLuXL cghB62HLNzKeC4Jxq3LdglRykP2MGLgg/joW7wFygtDXUdPhWVjrTcrpglvrwTLA60MHIojsuitb qL74/KZfp1ihfim1QhPCzdoQJ/LV7Tp6fdDmsgwaI3+ZgdbsVwYI2D9NPtMOhW6sSWWTgusxdkSw j7DO7HLIpggOp6HE++Brhbj891eipgM1hxdKanxTxWs0K1zaqpBDSihuwcP9NYu4uL3HN4SerIc0 UZt3i31pzKXlfr64Frn2MsGagBoLMfYdXsowoHXNmdlqWijsWkF+mnp8Bd8NDxJVrzA6QFxPkmsG HT9ac4/RX6ZecifGWrh/qUX+is8n4SZ/ZC6/mLTqBPA4xF8tXkhorniJRtw+7UZY9nJPwSZfjp4f OkK16MCEcKTC/EUdNCchvywmuU6vNCqXkhbNzU+T+ZDG3xJHLPQtdIHhtLaH8IZ0CqOWBv7A0FgP k747z16PSTPh6WejNqOoWMJok+3H6mVU46mwQc7Bb0iSqj7yQAGRwU8SpG1OZMUC5HL2gr3zH5p6 36lpP2LbpyFPJ5Jyh7lxqo66QbAGD4VPixJivxVGiJ/LvVY3WSx7jjsYQVHSA++/JpYWaJ2/J4B2 An6La6m4j6/YjSv4iOMkIo0D2qfmk6ruYdipTysy6P5jXDhxeLNfEF0hY20AUzNJ6Z3AGf1+WHDH x++MWuaJMVD58OifBu8zZC4/91vjeBu9lWi2VSKNmhhj7Iv6iZf4USclNmBqWSlKD8fFzAXWYE09 rgdT+U7SoSNr8/ynaSV7j5zczkDOGPtPV9R9eCuzF39eGYWGxj3RQlUmeiHW7+JXRWc5P2WhPH5D aHV8b3Gd3wI9iZ3fMjAnkOAZBU+W0PE6Pl2tCXsb0M7TlxzPVDfryNWa7qfBVoiB7STPJYWHsX/S 6lQA9q/DNgqh9JtGcwfYU+2SvA2hWlqyZMbf5jkVXhhx7FrUTCkiPsoGvoDMyeWVL8qbpTTKlWa3 m6XgO7dfllvriLDj61UjEXUMLGUWhiyHYQtaBOshLsIuXqnPJn6te6itjTqZ8i6RKxvc8bO9v8l6 PXTlc2Ix21TiGV0u105tA1FnE8I/AVOpRKkRgYnAai3vxCY8mg6WZK91Tg52oxvPTB1ofC+Was9M D5YOopeaZtK1k4sNJQSG4A1vPjCkvVd2IdIqWRDYb7+0N2Q8wGnBqXpPwX2X3I3slCfQdh28n9Vm sXBMhk82EuLUHiSRTtoZjLMY5KigeoKN8TmmXOobPRUhEBo/xGdlJuH6oT7xJV6gJ8CHIopeeGFP TZLOS6FzUeWxU1LYhp9YTgfiVEThMfaniOCFgIItgtZpNF8CqhSVUKzF5I+C+oRFF3v+vEAUqevK cIAgIXiZkDnEizYqaL2QMB07HdtpY8jjNaVD6dIc8Brt1Epwok9ALS44YL9PB5vz9VxL5kIz2tNO 1JKj1GIt3Lz8DhgJSdAn94kmxv3MZUq7G6lU/n1ke/k4s/PB/kk79aslKLrP/RlMRqa2/BnRUx73 PUs4DsRrd04JaMMgDsJrgsWU+anVMtdnTaGjIcRmnATflacAJztMeJdmRFIhIS9VzJ+RjmlROZR+ 4extQBIIYXfFyuyfsGUCL5kYO5Dlmt4PVOhdJHvIA3zFcT4ii0kdQV44nGhdvUV1Lw8asWjxaqkL pxEYckhnWthUse402YmteboyxRI+Ikzab5i9m3vobfsBme/9K/kD34LTiwc3+F/E9A44Kmgtz7WH jkbfbwy/L4QNfmWmJXmSe7rHcu05RcXTTMnTTMUjQsYjQshDnbsXA4i5rGA2PldsPfqEnmeBnseM njeNkbeCNvrDz0rCT0tL2quj4wF3ho/cwSEif/AoePCIOWNjTXS0SHT0SlQjY1BzDePJlTAU7UD0 yyfFA7YMaGpOQiEI4ZnU/m3ImYc0S7jX6YjK5MevVMtsvs4tktYz3ll4hLhPXiM5iGvUG9OPebQZ B8Q86t04VrzE7gJED+9I3XidJGHK1HB/KoR9yDxrXkIpPXRCwdTlyf176F7vyNkBp+y863dO+XhT 0E+D/NfWxbpBr6zX53kC5+V+HXmrd3zIvYHSzcT7mabuMhmLxdulP6KL5ItYvssgHXKsyRQ2MNzF M0znJ8c7TNhKD9s3ZmKldfM1LydZuEhtm0ZrSSZ/iuPokLeOPjEjkiNfuGZPrLawquT+qELAvAEm I5W6C2wNUXJnbD1L7TQCFPfxvTOTGcymJxlTxoJqbmz09huTTLGZG+VkkLBM9UFz1Q9nlAQo4/Cf QytDawZb5CntEEgau0x6BQ4kky5mVacSHzo3szDyXmobmQl/Kt1d/pIBEm8aem3+aXHwm4w1S+xZ 4wd3eIeZ/RkQmOFoTaltbn5PnxN7D6TajctSJD6D8aqFMJpniW7IjYljJnJuQYPmXuqkSTZnCEQN 55Jv8L5QUuQdEQsH4CvSuGWweQ+JYBZqe9LMXC7DNwRV5+2lVSHyvhHvEuYo7sqLhaNLDcQbhicp cMnWQE1l5HKH7cv4AqJysQYT8fFZ+S+5A0zINz5mgaOyjvzb7ozMDqe4aAPjXXQa7nVPVkJUh6uH 7Ua0YtNHvoA6OGYFFN5k3xlRHXbP+SVTTJtfxekZUkXKhXzUW0z+VEWXvNmAokDT8zJ9nSuHF8ZN 73qP1YGvTK1nneqp1KY4QcxwB89QoOcQglhGkS26AhxQNfLkHG+jeHNNcLvDBWuGqV7zsGlV4Wt9 GmMa6bZQcFp5Z9mB9bbum+djadWyJYZF47i6iUmjxByL26a8zMtkGhvbAVlTOKrAx/6s6EbLKQQE oosFSYEViQOLjXWlvHoj4x9LwV/7yTfSdLR1p52f7WHn1h4Plx6dso64lnJdbaS2gT8YNbGX4NcM VZWEu3BYOaEJfZ3llu2JmwM/aVfQf5NcU338iDYhSf+l4qNA6sm5kUk5ZC2kPs02cuJ7VM1NG6Uq Mdb379MmRmKlZYHY9SZ3NpoNLI7zMh6vKzLDjPPel7EZeOU5vNgj2kW39345TbTrhXnuGT1UPXNn x6LcpaGmhMDyFy6F1fIAFsWGOcByBjnSPRTTcklp6QLssaOP3CcboXvyOaaVL5wkB6FgUPXrjfyl cpWWhPWKg3pMS4Ydd5jPe4lUtLHcFj/pRMzsTTwSvodSlKHSQzOgppa5WDMgNn1sTlzz6dZ2lu0x QcWUmPGUaYJPulHhMk0bxQB3lDGUDX2gNmT/xslMue9GJtDFZWAi3HN6EjiNFbBjs4A5ImBnsKWw Jzi5Rllvyda3n3vW3VpfNMFTh1T2tHFU1jvPMn7jYBalvjtf8RJ2/NZ4GnvDzmhEeIStzKqvP3at Cku75lck5wys8kDPbvZUS49f+OZVjVtFr7WOHl4i8mZiQjapOaa6Ovb3o2pYUDXuKou3s7lBPRyX 1PK8Xygw+60EgT159+FJ9XKYVCTu1tiFgfaqSBHdEdjk9a/cyLakKpwoJ60mobn+itYR9r4Isz7b pK1eT9+5yqOPU+xEPRPGeFM//g8AGCDn32pf14a/zXi2bLkYD+Zk8+bsxLA8lh5rV/KBsAUh+HiA iTBzSPg6fwthdcw+sVgWl2yOtfaOdHe3u9a15UGQH2Wyd6xvM4nFgKm0RdAm3loR9nMVYd8g5Fb8 tvsv3Z908+OKlD8BCf+EIuWPQ8KfgDsBKd/LjzdONJ5o5Me7J7pPAPftibdPvM2PxyfiJ+J89WwP WFN9FF39+ndxbPPFLDlGlbdV3hsxpGyJbcYQwJ8dBsSQsQWOjRLLY0FWNIbqlMxY9i2Qkg0oJTdv QYQVUFKVJFaGlbqYVc+y/9uTTUXlGPtYTH0rkdQLFJfP3wErBpn5E9xJuHen5898oT6fBKfXz5zg c7Bkh7Ju1kgXJtdA2HuX7CUvkH7yc8iO7bSU9MLi44LVkKO1pAtD6CRqqocJKEi6SA9MEvPJX6iJ HCTl5H3aQXZCvllE7oNsuBDKejP5LjlA5868R3aS39B15EmUfozKMDstoJ0zx8li0jPzDNogpJ7c Re6lZmxYC6ieBmfeRg2byfXkWfI7MkOWkbvVB1BLDzmDXDTzDFlOfkWX0XNm8sk8chG5ktxN7ifP k5P0BjquUs8MkEpyLtlENTSHFvFXzTxGatRv6p6eeWlmAgbKi4D7LPmQi6k6Zj4iMnlXRWfWQtjP IRX4XUQeIIfJH6mLVvKtxAwRdDnG4nJykC9CHzvJjXi3Z+ll9CBvnnkIb1NNVpFhkNWldJzzq99U n5rZTmx4vxR6uos8RH5MXiQfoLYOuoS/cLppBvYA7Kkx0o6WriHXkR9i5H6C30vUQv10Hmr+MX2b /om/iP8ran6UTJJPyX/RIrqOXsk1cVepk1M7Z54mEbyhjDrmkbPJBeQpGqEyPQdl7+Mu4a6EynyY /6OqSPXxTM3MizDjQDUnV5En8F6/JL8hb2C+Omg3/R13JT+qvm7mMvQ3QdbiLa4hD5Mj5BOqpjpq pHbqoxW0Gm92GR2nf+IKuCDXy5/LH1TfPLNt5hbiB630kzUouZ5cTa4lz5Bj5M/kAzJJPSiZQMkm 2kNvgar8EneMP5tfzu9Vyaq9qidVP1F9obaqfzL9q+kTGHVWTxnpxq+fDJLtGOsx/F4kf6A8zaNe 1DSHzkdNK+ggvZzuoXfSB+kj9DB9hU7Q9+jH9F+ci7uZu4M7yv2UO8ZN8AV8lG/j9/Ovq/yqP6g+ 16ycKph+YfrjGcNMbKZiZs/MfTNvzUwqs5BPwqSJtIK6zic78PZ7yJ3kexjzQ+QX5Legu+PK7yQ5 hTn4nAqgJjd6FKBBWkhL8HZn0156Cd1Fb6cP0Zfpn+hJ+gVHOCMXwC/KVXHzueXcVdyH3Be8ng/y zfyl/F38r/nPVNvUSfyeVD+tPiWc1IS1r3+xb+rtaTK9bnrv9L6ZStCiAMrLAc+lSAtobj5meTXZ iN8mspVcgjHajhG/D5RzkGTIUfIqeR1jf4y8hVOC4+Sk8nsPM3GaTJFpymE+1VSLX7bvZZiZVlDL AF2Duc3+LqNX0Rvp3fjto9+n92N8f0V/TX9Dj9N36Cd4J8LFuWZuLt6ohzuH68dvBbeK28ndxB3C 75fc77i3uD9zn/Eib+UlvpBv58/jb+B38Wn+EP8f/G9VEVWzqlN1vuoV1a/w5p3qeeoV6lXqm9T3 qx9U/0T9M/VJ9Yxwu/CAMCa8q9FrqjQ9EE1v1DyuOar5o2ZGWwh66kbvi2fXKQZup+eoEtweOsON 4b1/xG3hf87dQZ/8BgZR70IPVkOpHuOf5753+R4Yg5/iriJE1aZgzcEq9jp5jryu/o3KoX6XvMJ5 yEdYD+/gV3I/grrtolV8vepa1etYdbahnw9yxzkNdxAYH2A2VpCzqJv8XbWUfIzxP6behTHt4N6m T3IvQ33uJ2+Sh7ijBMo9WUOr0bvV5GnyGfkuPcL76GHQ3TCZIB+SE1/3V5WYauGaBBe3VajDDB2h i2de4YpnPgDX/4leS97iPwPtL6ULaYI8Qt7BrP+WpqikmlblkV9h5fOSfaDa/ySj4MGfqULgoE/I ET5FlqlOgF4TU69Nt6m38FfTT7lmTKdTWbkXsdUYa/DdWKvYOmomB8HrWEUUjv6A/IIGCFH/RvgD uZfsJs/yDhLmH+Z2cDP8qyofuQ2mwQVo9QqsT/k4z3qMXEjWYXR9M3+dfgg1rCc1pIaeS5eRNuR0 Eu/Mhej5I1iL5JnlM/eo+9Qx8ku6gDrIC1i9XBjFvWrd9CQwD4EP3yKd9CYyOr2ajGNfcdEwTYKa JtVb1XvUT6gPqX+k/oVQTi4F1+7DLP6ZnMau4aOrMBbvk3+C1lvAPSXgn2b0ohN72AVcH/88aaUe MoQ1sAjrdgvGYBlmcjNquYrcDH56GHvIL8kpKtLl5EfkTXCOE3y+Cu1rUU8XOQuzvpk8gtXxajqK lNU4WoiCzz6jZlrDbUF7bJ3di3V2HH36I/krVo4ZpV8ltJ62YfZWkX8yXkYLVaQHOgGZOUxqsVO2 8a+Tv8DAJpIWrC8PodwAaMOMI4ta9TuUIyXTC2dquHX88zQXu6EZVLUEO/scuhG9sOA9poiDLiKV 03NR25NYy3rUD2P3jWFncHAO1dnqs9DvP2An+yXZNNNL79W08W/wp1RDcstZS+SmxjkN9XW1NdWV qYpkeVmiNF4SixYXFUbCoWDA75O8Bfl5HrfLmeuw59isosVsMhr0Oq1GUOMEiZKS9mDHgC8dGUir IsHOzjiLB1ciYeU3EgbSPiR1fBsn7WPlViLrW5gyMAf/DVPOYspfYVLR10Aa4iW+9qAv/Yu2oG+M Llvci/AtbcE+X3pSCXcr4T1K2ISw348CvnbX2jZfmg742tMdW9fuah9oi5fQEYO+Ndi6Rh8vISN6 A4IGhNLO4NAIdTZSJcA52+tGOKI14RXTnmBbe9odRFFUw4fbV65O9yzubW/L8/v74iVp2roqeG6a MGE6pqCQVqWZtNCa1ijN+Nal8TbkJt9Iyfium8dEcu5AzLg6uHrl8t40vxJ1tKetMbTblnZuP+n6 OorKIbZf/83cPH4XxGQfQ96163pf+sDi3m+UzfOzGvr6UAfKcuGOgV0daPpmzFQXU/XS3LV9vWl6 LZqE6hFW3ir7flm9KDyw3pfWBVuCa3etH8DUeHalyRnb/BmPRz4yc4J42n27lvQG/emmvGDfyrb8 ETvZdca2Ubfsc387J14yIlqzAztitswGjKZvBtZg0LN5SkhBZ6GuM74aWcr6GJyXlkFRq3zoSW8Q 71TDvDU1ZNeqGkwAnj6KUunVmJF1aV3rwC6xjqXjFWlaHRaDvl2fEFBAcPLDb6esnE0RwuInhGUy OvmK1NJ05ZfhdCyWjkYZiWhaMafoY6MSr4yXbB3j9geHRB8A1ErSg7Fd2VeXwPD7/WyCbxqTybmI pHcs7s3GfeTcPBgEE1C/uAGWM/5ljuMslrPjy5yvig8EQcmHmMWFONLayFd/FjE3p31tXZrm/m+y 12Tzu84Mdi1e1utr3zUwS7VdS74Vy+azAcW4IW82lM5p7eXzOKSxEJfHK7kgyuXLvkJBpNeYVoXx JyhEvXpMowVVKinU15EWBzqzfp/e75/lmf9TobGZU6yUAr4uNvsa6brYbEez3U7Xfyv+re4Zd/Fd S7DkcF1Llu3apf9WXgcWs127OoK+jl0Du1aOzew4N+gTg7uOQKYp3DXUjmUoO6NjM8/elJfuuLkP r7KW1oFuOdIyEqQ3LB6R6Q1nLus9AuuY74YlvRmOcq0DLX0jIeT1HvERIiupHEtliQzFxyJQrkDo GU6r4OcdkQnZoeSqlAQlvgp2MSUti4Q0SlaNcdk0UcEbiSgNydjlV42psjnylzWokKbNpu3IYhfN YmuRI7KcZ6HowZLH+px92KrRuqR3dqAVKmDMBKogQi3N5wjujxByK/cEOQPOjXiLeikpVm0m61WE LAeM8beQhYCLABchrZurJTHhCbIAaR2IzwcsRF4XX0AWo44I4k1IT8BZUT0uGMAnxAi5uA7QT1wI OYkeO2Eu7uoYodXlANOEjjiAa8fNFBe0GguOHnmixkigIjxVpAry0330A66Ez1dp1DcLmzUBbVh7 Wj9P/6pxielu8zbLdnGB9UPbuTkrHfm5TOfNhwSUryaoR0NaDnH0RUEzxmvlHKJWvcgTvUb1IiVu raB+keOfo81EB0FlKXHFxE8bphoWiqcbuqcaSBPC4hfwysv8Vr81DI/mq8gXPn78C1lNPseVkXE0 Q26deUWzCfo5Dp6g4SXJPNrz9IvkRZ6Ljc3816inIKWdhQlA2YwEs9aTnyp32ewpJL07CgjUd2Uz AsUs1cw8lFKyjCxLhwSBpXax41ELArCnHuR4O8dhNx/jrYfjhQ1DFbRijEvJlsaGktK4ifAqfcNw Hs1jaaLYoLao1F1Op2cieiLKRce4XzzT9sZEzYkargbhQ/J4GS3DScFhHzk4zlMehQ5p6EGZU9Im NCc0nIaV8b8x4TgB8QRhWTdumjBxJvf8rufoG5jf7ZAHYatdeLq/e2rTp1ObPFMe16T4ab9ryjPV 73EpaQvb17T9FWOLIf60f1JsaEBQCZ1uuF5dGrtCfKm8jDLjzNcP7acQhv1JiDJCMBCpTFU5AxpB cNiduc7cimR1VXVVZaowUhih/2cUIfzFnOv4n3wh3/riS9/d/fxPbs01u91WvctizzU5DVbR4Daq ot998eWbb3rxR9+1m10ei8FjcuQY3UaraHQZ1ed/tlz90Gv7H/z5Swce/kWlyblx5JbuklyT0ZFY cONjXSmXYWrdK/c/+PrrB+7/WcqYe+G9D3VWOI0GZ2reHfd1phwGxhVnTA9yt4FebKRHLrre/IyF q1bdzd2he4x7WKemPyG88SemHJMRV9Fomd2iYefLPIb+Tlkni1RcmrNhLyPU/sl+UKuIH2mabJos LyP9GCeHoMHPKtowNI4IseIW0m1ry9siZWd3pfr/Nj1CF6rPL21rXnbLwemXp9+cHlvTUZlcTP8B KVemTLt2o299St/OkANVquvVN1jGLKq93D26R7jHdSr0Lge9A1eJGt9sr6yLWK/soEej0VSWc8aN 6N1ppWNKJ7/Ru5xKzFR1lVXkMFmVuax37rXlrYXZztFF0yPTg6XtzctuTtM62E7mKp2bNk0/N/3j aWb2Ii3T99DnaQWz38jWf3FUo/Todds8o17V5QChygZaIVmopdn1g1tYN/pPT02iA6cnqbW2FnTV jy4otBIEAWVJqUKhmcEt6zQajWAsiNWfvXru0u0/mL6nJLn/TCsEZuvyxpbV127Z/TbrAXRZ1Wew 05XThfJkrsqt43wVZRVDFXsqHnO+YX/D+VfnP526bfotjstLb+Rvs6tv1N/N362/3fEY/5he8Nnb HXJFT8U2Xq3n9XquQrYbm+5Q3ad7SPVD3SN2tZESzWKj8efaAo3PV+AKBGKLy8v/VFIQExZT+nN1 geD3FRQHglQgRo2JOERwYW7M7sjlnRpn7qit1FVeVExLjUZXMefSChqLZpGGa4K3W3NQc0xzXCNY NBvAxcmKg7EXYlwi1hRbFFsR2xAbju2O7Y9pY1eLuUO5e3L5XI+MlYRYTBKYu9HvcyfnPO2KZZfF fiyP/Z/2d5/s32i11fZv3JQA/TXZahOTIn6TDVabs5ayHDj8xag4+SERp2bBl1FeVDdgWQXJxjb2 4yEbqbUiWVVdYQ2WckGrPTe3Qony/spZ/rYqDB4MVvqtwQhYPciV5u3cIkYixu7BlTmpusU/+ksy POfzC+L1IY/ZoNbnRVriqg2RgnUDNfeqpqfefOD7U3Vb7qiYvmoo6Usfml4cdpgDrkH+8uWOYE5+ eHrD7Tu8NswvLKwqP+i/lsblWlfZ2cWX+HnBTHUWTUwoc1mcsbglJhZbEwFfLFRSFa2KnVd8Y/GN 0cdTY9FnUzm1BWQZV0DpGJ0nO8gyS5VUxVU9Xl5Q4F3mw2VJieLU81K5w7uMeEQP53ncURyzaCMW g8WSb8i3qLZathbvszxseNrwkkWIFVsMqqC6spwPVjp0i2BHy15gUdOzSUSMcDipFLFjeOplgylV b9FKOPZD0iGpvNRdN0ZrR3qVKes+Odm/UIx92j3Zf7Jf4UWrE9PGpqi2logf9p+e7MfknJ7MhpXg iMAkB9nHG3gLFy6OxNYb1lm2G7ZZriu+Nnan5SnDUcPPDD+zmEj/xj42iRux8ORgVoKB2TWZrcsO uwoMhokKCJqgtQIzmgTnYepKOSzgFUmnklLN/8RQXPDONYOXOArkxBMfnXnG9D9flzctLZM8dbZw uOTz7w5dW7H2miMPnP3R0y2NievzPF6T+vzphieOXTg3HkyU+pdcvHbtdU984gnZi4o58uY72xeX LVvcfM6O76944KRobPbNgVBEls/8g3+bfxG27gZuuewQRLFW5RNrk3JDW+qmyts1+yr5Rravruyq PFxLr9Q8En+q4Zn4y/E3/W/E36z8a1xXqWnXzM+Z75xX2esc1N5J9lU+DFPmYa2xAmezjfeo7o3f V64ijT2Nq3IHGjc59zoO0ofrXqAnGvXa3J7GLfV8p5Zz2BxcPWulxln7cT1NVmixuMRKimIl4VhJ cUPFkxVHK3hVxZyK7oorKm6p2F/xg4rnK35Z8b8qJisMbGevh0DwunyXTsedZdf6tWu0F2tVnLZe u0C7XXujdr/2Ee2r2t9rdQZtnnZIy9ttWt5likgx1F08mKjv5JJ3kf5EgnPJxbGUxSW5Vrg2uPa7 DrpecGmOuz50feHiXS7ZLKZcnKThDJYSqSRR0lSiKmkrbrWEpTAXfp8QnYs1n9A16YZ1L+hUPgCO 6EQdpxujR2VRbtzRyMmNA41c42MO6mAnQHJRT1HTDISQGKkWq7nqpFoOhlMb1KfUXJlaVveoB9Qq tXtOzVmuMVp+LVtk+jfGuic3nt4Y+3G/2L/xdH//pliDONX/KSNfLDSxBBCw7Z1mC87U6ZPipELQ m2LKaoRlXiFt8TWt2GBuaCD9MbopS8+HjK4CF0f6QbKt2+RkTV1+UC/yKku4IOIPGyK1EbPX6iVG n85LA8E6vtpLxHyTl+oD8GpU9V7CZBKKpmcFk5146KaN/QSOboyRjUgPz24qYUbpbI9hMspXUguo njGGsrwlq50CQy60Yr9mWBVJbt6TN/SsH6OVTrmoOerJj8yrbzpr0+sXXbvPadbbTR7cZDy/rWeZ flt9od8dT+66a92i85+89Tvrq4sLbC6HFCsqb19Q0Xl1x8aW6F3Td8p+Meya39p1J62du7iqujSI IyWOxGZOqvKwfzlJIV0MObJDS5yik6MutzUkOcfoR3JeMHINr/FGDAbzJotFNDhxOzxAA7LGYyvG fGa6KhmQa+rnpHqKJ4q5smK5uKd4qPhAcbp4vFhTbDYTi1tyc+6o1QZ5pUyUxR5xXJwQ1aK7aOFG RXTZCEXzCBFxPuj2N4mobtTlUyAu2zZhGPsapvobahMipp6dFR4hxVlU1jJDVToyi/rpJOgCQqR4 kolBMd4MkZL2Z+fYE1aZ1OFQJM+T7+EEXcQXDqsChbTA6PYSk1nSIxwUIoXUY/J6iV/rLfzWHEdj sZ07W3vl4BXqId2Qbzi0V/uo+hHtMyrtVdprdRzuN+qHpeHwXvVdIYFiC+vvo1Y2xWzClanFuodd C6IOtWKCMcNfyh704NabB54Y2P761Qu21u4LaPSxCnqNoF9QXzGvvKqwZal6wdTU9o0TN9zz2dVl VWtUDy/Oyc/jwlMPTQ8MB+vn1T114o0eKFSULJw5ya/AuhYkf5Mv/ESgIR3t0z3i/Sn30+Cb9H36 Z06j19ISLmo/WxrUnSdt1W3Vb/LelfNUzlN23D+zH/Y+G/yp91jYSqgjh/Dm/AlYLzkcuJ6gnAoH SRz15zhcbtcpK7V+4IoYNP5OlcFipuYYZRORdDcxKOfprClcIz9A0yjhORj+GGuFJV/K5/KTmlk8 Bg8XxVITGsqCss5oTmncoZpblT0q1h8Dy2ObgmABLuo+uUnZqCY3ig3gZyu2q1q2YTlrxdeYDIeR Bt+FFf7BXlLNxjzLY0wHyHKdohhU8bLU8tMNR08MXvbmd59sr6nv1glOp1QWSC2ZV91V3vs31+Xb qOflF7578LZltW0LVze53RXd+6/5W30MR5u4EgheaQeveHEZZ7scvNv0mOmI6Zlclc1WrSVe0cs5 pbhO63pA8v40yMR06Ef0o0P0AdwIHaPnPKONXWM0ag3Y8lfIbuc2f8SuQVXQukXs1FHiEl2cK6oM oBkjacGVVC5NKfVAJWRcxsAomIxByInmVE9iIsENJQ4kuIQUoRGZ8Y3sYEW/5LIJUSW6S2t2KoOq LKNsTMFDMTauGOHJfqbVMnkY/DIpfjL5Bf2kP8syXzFNUSBqygmFg2FOsEWKCosLOcEcDuRECknU BC9s9RfSQktMYRWKqqOxqMIliSHTUM5QYCiaTownhCHzsG2rczg4VHxZ/Drnrvjdprty95U8kvtk ybMl5h2WG60cm8V+dv/hCElkuVt5Y3C3MgDgblZ7H0REhXmcDnUl46pCpv6xGXcqvBWszFFmHEto Vhfkfy1o4zXTF8/d0DG6dsnap9e2rq3XGctarp9/ftgVTqTizqLeheoFn79+od3vU/m771jaeOCq 5+/6eHuqmXrOzy3Ij05dd6tduu/+kSciObuyVMD3g8ccxEcr5V7B1mXvt2+wr3WscW2za8L6R3Fy 9Jr1V9yv+DdNbzr+wf+XST/swHqZ40gt5Qf5DYFL+OHA1fx15vdN7zp0Ue1MLtXqdDFGBj4tr+1X +3IJ7cgdo0WH8iI5GjVuz40aDbpcNrsGzG6u7A6kctcRxA+zyQbbIzhqMKcYlF3WSuJJBJoCKwIf B1QBX7GFSmDDpLKqAl+BXlsWRspSCtUYQU4T0Nrc/lkOBAOC76b6TzIejMUYscRiWcXyNIwg2G37 T1LxtY3KsoptsiDscrqdnJBvk7zEY8/1Uq81z0udDnjYJjFz0dhO2o9NEVsj9We5MbvjsQm0Yf40 qS+Z1cH3T83olrWvbDi3JrBgbNvE+Uunnrj1Vx8Fw45gyl9PP3n2gjNbz87dt/PAzhfep473Hrj/ UslW0bcvCItL93QH/xZmp4zMwQ2E38hnh0WDpakkfL3uhvjtxU+rjugyxYdLT4U+adPrK3SVQq1Q 71uo1oIUinXFUo3UKd2svTa6T/do/NFWg9wZavGbil34WKdOE7I3FpsSxsaUzcadpUiHHgxjo2yr bZQjhalG2SvBc7hSZY2UZY/aXKnGMV4lO+x2Nvn2guq7jMaCBMfLifIUP8bny9DvYuV3JTTtkQJL pzKJtiYGZT367OuknZ2uurGZCYWpTXW0LunapOHoJklDE2zd5AW5uKRFNtia4FmaEi3U0iK1cC2d fpElwkOiSC2iJHLiGK+W7ZFUGUiAS1FLSkrBCOSPxEpYexJSS+Si4lQJE8YsJRtKdpfwPSUTJVzJ Jd0QxZh5gYkzJxsmAcXJftDHrD/Vv/EL7LWTSjIu0bBN93TDVAyKH3RAJp7NSlt2WfKnYn2TbHFn TzYZF+wwVGGMH/qRKZBSYHGmisApctts2AplHZwP4SpG/Y4gk5qUPbWQaRi5FdXQHpCgqPBsPajO esyvSGqyOEzbKIzwigzGtl4Wi3Dfo/Wj5TmuDS/MFzbF51Q3/uDXizauPWvnY1dOLGv/zlXrN193 6Yl0//y6nkVVDT1x38WD/tqtD96035J3IX/fReVFVfWrbz9TXV8cKuVK5WvPuslfXn52Wek8t7yp /aqy8gPrbnyt8eKxOzdctH+0uezzv1mlyooz57e6rV5wOE71CBfCbiKScTnftsPqbBqw4fYktahh FBUltQitRDCEJIFtIgEakrASfHQoaAxJIhPLcoMoKaj1JMvfUaNBRhUGNop1lQyMxlMpBfqCCpSD Oc5U2kB3GygxiAbOcJlkO2BL2/iErcm22zZuO2FT21i58lSKwcPx0pR14TjmPhbr3/hpv0IAWAQg iSnyFaaQiVUU6ViRYV3yM2tOpRVsXElHS1unNY1ee2kLltatq6pVoRAXcK7iXz23WhVmksoCfGd5 Mfi0g1soS3M5arNJst5brbWwjwk7pBwsMR0Crap2hySIJm8cCsRDEu7mviHbA80hqSEYsISknGBQ LqSBkFQ4xr35TFCup9UhqR5hORpsCUkdwaAmEK/ya6jK25AcVHkH9Xp8WdchNNQXFdpz9J0yqF5h t7O8gRTpPNCZ7hzvVHXCImq2WCQLZ4l63PKcSrcci6f2u19wH3Pzsns3JNn3/IFoaRxZcSUr/kL8 GD4rie+Oc/H3iKVagloTbWnGGMqegkBqoPlEM3egOd083swn4E00883uuZ1j3Jmj/oXYm5l5dCN0 Giy3DQqbwcI8C2FcYdZRsB4zkOJhgm03M6x8aVZhk8D+8PAi9JtZSTeUKM8rMJjUQlkkP1KuLvVS QVNg8Hip0ZQQkl6aZ/RmF2ZoL4oCw5QXMm/JNtkm+bQ6H0RftaTzFxKfX6uhzKgIC6yyrYcGOk90 coIxZEwZ5c7fGdSL1Iu0C3WLDOOd6hpukbDI+BnuFWMr37gpu5l3gqRyC5SBHhUdTQKzfcPMpUCb oQnW7FOjX0KrKZsOqKRbDNk4oBIXZ8sBsviIAQcQXz3YZJh04MhKA4qv6FbfoEyIBoKGiQ8srZFj xKpIC0j7NwJ+rfvqhcu2+3tu71m5OV7YOF1Qm2ezxwpivXGrs3k6vzBusSfyivyJSuR5693Wwkb+ 0cuWtC5Zuqyn78a90zsvSGlDIXVh3kp62xVt/qamaf0aKB/ggmD5GfS2YTnkkLqm9auahFBI8OVe wInrU9ow+ALf56qqwRcxTnUEn5C++7ShVifQOKOlmq7KnjhVq9VCWOB/z/2O/62HdwiV6g6O/x09 nsfZLGaY3GOSWfSLsYOWFyy4KZRvD0mWMe4t2RqIhCR/rNx1UBx9ui/w4GRwCBLcBnd3d5fgOmiw geDubsHdQnCCh+AQJLgE16CDuzsceHff3XPvnrp1/rhV09U/6emZ7uqna6qmP1+WPDTZLWMW4WBm lybh/lhjkEwkXJBv7pgJ6/6fIGvDwoEgfz4+qAEn2y0rj9LyBHAQDuUOkGhakgi15cAeXBt0xdio bSFssX3geL+UZACu+D5U74L4QbOTnj4M4UfNUIjkCTSZ+xzJYe1HxQhXa8sZqKh3yn1NEt6IthTc mrVuhJIoAAkgQEIQwEA7IjZV1KOKG1QLR2AjsBK4H0oYgYMjpZ3xnkgA+0tEv7sZeVddwfhecxJ0 zSkdTXOgCt06E2gJAQaGBjEK7waAHP6L6Z5FvjsVBDRi5asuRIPjEjMEG7OxmyJfDZ/lkLfd/SZF XOi7y4cp1EvT0IrYhGSgO2WsNTGenPVQIVWz+fKrOyaHzY9xsb5/a8LHgGikdv4s0v+cbWF00GrR yZu6IBlnBipU//5LQH4bV1MJdzRh+0eI06zztBCLTx9ccoaKDJZrVT4CF/cNcybXt3LRLu5+9CBe kgwIe5441ukksHYfG42RQ21xXtepB/brd/b8cSsUuFq59/YMX+l4oSkSIssERK/EDJIBaZlwigC8 iuxEk1JHRM8Vdwfy/vg8QkLEWlJbkfsg/d8mibZZijksKuYbYm0AiWlk4tA4awcElb5Y8ZBkzmpC b14PHQMMGxovIXN8iuiHQVjOVULY3mwuwAYCbkqrEDP1nBMhbxapxNmZ4O2Rt2F1mm2I+xA088j0 fGtPIS1NgebXpjhPj7rUrZ1sw4QqVxw6ehR10bTQbgWoatgk3HFd/assajB7WVgwaKOaB7JMdsB1 hOPWaLRpmHLRjf9RNAU0Cx5BnUQdAqfiLNBFF6CbOXDAxYfIMqjo2I2KXN0AAiMcybvMQHxtj7O4 lfNPvfZK7W7fTHImbXcYYryQFK9k5ro73DdbWgybjqB0L9ZtOLga7rNzs1eE3dr5WSzhLoVZ9VeN F6zXLryx0T89c4k29IP1xGwwHG6skmFVKXRDsiTiVBCxFKSTURTa0V/+7ZSprXU3ZPGNUTetf8tV jh4rAy9qihNlVZO1XZNsuZ0KVRTDRpMagOQ1SD3YVOvY1FrsXaKvAc7Ellfgkmkyl5qfMyXkVsKb lnKbb7AVkvoAk4mm6fQrrnuV206obq+sS2tT50Oh+ccQOen277f+0Gkq0ClmQlsyrPfe9UR35ECm Kn7CqHcSgG5g5boY/mlXlOd6yHca4Yfko8jAQSotkoTMraLAYQJXFK8wim5gGeMV6Fqlc7PzS9fa XP1VZpDXoVvT0eky1hyuZ8+T+2rEb9C9E5leZhCdJ0N4IfO3uct2Wpxbori4di7ETr4vw9yJEqDC PIRscyJ1Eho1rLYvrSbLE+fEx4LbCPsteonT8mMVgCJrirOMLexJNJci/TWWbTfUE3vRWoDRzK68 /mWqDfhxtdZ/+8thvbzQg5fRo51C717Xp2vJPH8TXcQYcpMSzrkYk5TCatKgwicnDjRobgLPfm9/ fja1QkzGE4tExnzoTTEvsFz0eFuoIOvoKldnq/qbScmaD6Sev0wC+ByzlTD9/wTJlkBtD6lBIcEG kZWmqaqLquR+71+G/+Z+O62Ycj5HJR4JZx+wPKF8MTaB3Zjevp4uiO9aFB2kePfNlvQXTjEEkjVu 7K8qoQWE+WpemgR97g1IOvyxNOXujwpH8za8seI+bKfrW2VCsgZZWY7QH2Fe2hyz7wFGMDRBGAgl 72vfYSXnKQ0P1g8+Ps9vXslvYLATdeLtO7DZZJNLsdziWMNQLs3e2YMrreyYKvRLxjMBAr9QSabx sDgnM3hZK4TUeoXvSFYMxpen+DoUgRD4DE3DBynFirTtLbJ3U+DtKcGmW2LOxWPcsSzIE4xTEiQn LpVgkNAkUY4De/FXoEmy8Vh9B6Ev75nXqc+pUX6RNrK0TU/ZzmUof5BbKDG3AB4hOyEAf0qqXlbv gGWU0/k93DwpAa+eGvk9T4Taj+NVUy69Sd8f6ZOuS65zlvKkZMk30sPAputNWWK03ksWlSv3EoQV nEHD6/YlvznbPRkF03Mp21AdoRS72HeCfVt91GZhzq5rDDhxl3z8bjinUb6oqnjUyCkfuHBY6tyJ Zuzf9op+BkpilUqWYpeilK5NdSbF1Vr5fMPccrI0Vy7LKy+q/eJf3BjuAihklEyCw943jm8JZLy1 bQnlhA7TfjOM8/B9Jszuw9DvLJr85MMnKrsgCkRm7miaZRT22GI0m4FeZW7WutlUyUeh6LgzOr6p tWfUwTru95LYAAlGgIQkskV7Gf2MG1uv7Uxt5qAkE7JjO3ZOGsLYQbDl4AjXAoJL2uX4/qVuRqsp ux8x50IdOh5DDlTzBC/cMaKqOKQWSusQLn8BiaH+Uf7dqTjhSA2M+qZtbFuLrWy/p4262IzouGXd iGEimXmN9tAaTzO8Zi7eSBdWLWq+NA8qGWxpR7wLYvBGnHzXy94JfjkC3M/eM1T1ejMMGcnP+sD+ IDa3MqW74Ua9/mBkvW77FunMKHufdXL/oIk46dD6CFXeeHR65JeLK0nMBXOri9V+3Ozq2GVUwM01 3+AWx7c26mXHbUakrS0duyamp75J4XYXOxeaMYOHQUV53KPDCPyE79sZNntfzYmcZmezavYCg0BR wP6Zxv5h4ca2MtolzHY9rmOuAy7HSEsWzGs8wehb1fnD1g3rWIAQzH1sLrftRAUrAY9vdMYmdP1a 9XiitMZNH6a17EjpiwaJtXP1io0eHwNRAsX85CHR2wqQE14wmp7BXMC776tg10KoM3LYnyHkqOoY QEV16vt5IjIqnBywvwfyAiv4foNyMV6wy8JSYPD9x0JObR0NDcW+Zd9FTIzM/dYotGsDi2n7DscC SU7Ox56yUlwcaoDmZmxVBtac/DP2gddbch6gYrVw6vnnhDdth4hvv7h9FqFAVAzmyWYdw+McZS+z jrneEs4RTqm60z6PT0GqTjQWPjdW7w+QJJN20Re35Eh6jxXY+Q3+EEU2wFgFRT7QK2Y0jztO5A0M KToZX0uQFxzVKlLcDRziLTTWGRzVCpLCd9y0j8wsskbGZ20/Ifem0PWIU9SEWDzk4dAIML2qOiQm nuKIjr7hn/DoVEn3VEkhXvDs47Zc1poJqsCgWgLoXvdwuS/O4fLBoWL6/UxrAqzWIKQRGjpN0gJv OLFBS/RkVtJtkTlh86K3540eXcOZfzp1avxc17QuwAwoOrvxrBSxeB0YpjifZSWP+lrp1ArJz+vE wcPMP1AsGpYvklEkeHcjzEZIn+YT28qsf9F1dRhyWN7tzeyP6jvrfK+ON4xXz8KloykDlW182PFG 3NS6GNbzmIZxZp+EK3atrDzfcscZn6zLAEG33H4a9iW6TljS0Hb43ONx9otv9KokdSadiZFfrW9x 2JWW3KDrkHNF7wlfcDkvJK8YOztfftPRmlPhOO5Espf2oAa/M7ssOvgXOkrNqSCyOKiEjqZ6fCF+ A9zcsDdPV8mhhAVnOJBEwyJfxHd1rLbHgJ+oOdGIJJDA/w5N/ktZs3Xpng5U7lQJECqVjFJLBSDT OSghV8ZwmREhp/KQ5+W3XgrbIPDJab0JNpemcejswx8nl4ez5sz9J6u1sR/69vNGfbjO2nsHOPLZ +csgMnhvjXbUxVH+T54W3tIPpTf262U89emRDrOKikSNeQ0RhuLT3BmGSU+0p/IF5YWLhX2U00FF whlCnGtfF712VAefiflX3BQS/pgl7JnpoRfT4SQCQaXdfo9xCmpiZerTwHW1gF8S9V1aZG4a5jQ0 jQb4on55oNYAm5+NAqY1RfjG701MnfGQOML13XFWmlS9F3Pm1E8EhJbCnVJXJ2vhK02nnt0Y3tVM JuYqgSpUGHhYqXLotBbxk+5ZRhdiCExnM1vkTQ9+INFg2HC2h+fwskbq5M/pS2efMnzHNf/yq/wn siaV1NcaIf1oU4u5/ZFCJs0ITGCkDiJjYziP7K/T5yPx55vngZrV3dz6wcEr6NTlaD2ok+Hhczbl eZS8PLZu24NIiY7yL2svtLpNYJzEiUzmlLwg91A+Z1DbK1pPeeb96Hkls0+SEFBwk5/8cekiRxbN o/wzrSgHgtSSTjqdhnYJou5BBhrE3BZ3WgCr9gFVpcyxfExn5Ciy+p3obwdcweoCAWbWyzFeuPZf h29FMzeY09sr7Dbg/lwz62r3vvWgrchwG4u6gN34bjN6hwMevdi/7ssiNKtaynoIbZn9nuko8i1F pcTmmQq/rUISG1U9U+p7eEYPigZuMg9gKq5qG7WWczbyPFjWwSCw0lO36RkWZTP4oZsQ4ckpIHuU +lwxO0dorLZ1eeIy59LDRt5+mGDIi3NMP0ndrM+SPQd1AsSnzKPslHN61GMKYR0jAGNZcwIVeoN1 WKwpO9dGkwnJ72vlgaDysfgDVWmQKo2FEiWfALilb4MrQ4GpH6roGN26j4yTZjT3pPH0En6cB4BF 2RNYDfAQO+67cmf8ct3GY48OW79KFhpwhrVZPOghKc0+H6W2SWocRdHJZKNm6FoWFeUTUtrFtRTh O0JCsff2wP+o1hESc+c3TJP2Z1EgRpzU1lmHrpeXIUXE4tIfo9ZKrUbMgvFyVFfv8HJhQnsYWezD xwQ4kc+R75/1IDeMgKlV3VAc7g4RftaJqqJ5K62ktaws+2HezXcb7eSqLF0DdIMXx5MdYBumQj96 Zjnixur21viZlJl6Rb/aolafw/TtEUXgtkrZtK6+h6QGxtHusUsGaxWUltnHO64MNy2fxmCksGkn qaLmoo6P2rX59eCApUgbVLjxNp7kX+KfKNi9THV+4goUpAtW1AD3mfTrPNYy5EfnHNYGozxHoxts G41drjHPnqGwEMtR/1MVv+ZQ/S1r/yHg/7c0XvL/pvGKH1787Uvc1b9FMoD175irf6l4ttegLbVX qPs/qnjuFzL8DxX/Qv+5XpKxXjX8ywJ4Ve+vy19C/kW+v7b/kvL/HH8V739p+df+q4B/lfH/nOPk elH0f7dZWACv89xsbP8ae33v6/zf67+3fRX2r+3X9ausf/0+r5/x3zH9X8fz9wn8p0Xm4PhfSGSD xBHrDRH04GPPSF6qsLwaqR9Y6IFx6CdkLfKt929qLcxgayjNblcbVqr4hJG8aLqLM8BuMbq3k0ce 3BdRQ34jpi3KUft3ZKO7AoZbXE3ifFfiP+j0DxY3Ew90vKyLGIrd/QSZd78TNI9raGzpP0kNeKRX HW2xxoY5l1sKb6dt+fI0Zwore3nVdihMevEVgj4Jldvgqku3zFrcjWclDFVcgHFP7zc9pac7sDqq 1B0VJH7tmRa4Ru8KcNplZK6l1Q7eN3t6lNZx9Dx/q74t4XHOlY7SMJBdTt3nK4+Elli21wW9wbgh ZRCFBYfYoAeEOMCQ/9a1E4X4rG0uB/XfVzShkULLN6G4Vy9Q2ooG22RTpA2jOPKje3RobovoRnQ7 wlhRqrAjTMgouDBTxkB8wsUmZPKmE6i0yeUcZClenjQviG8sj4njwPzIZBUIXMdNlcCs56JcC4SD YDq8pV6jE6pLa6QvB9pUt170Act7QAYGsppvp/RWxxSn9pKTzZIdOM1eBrRw9RI0oCuwdTyOV3VN 0Yd6DOLDD291sRgTcJ68RBeHBOoyrzTmFqyJ7sl8/HgmeUoDdpmvtlbf/mcV/XWd/30V/LuM/l0J /6iM/2bz/+fq+QfL/8fGYi8sH6DHyMn1yvJZuF+8O8dLVhwLO+//V5bP8X+wfBbW/wfLZ/tHFMdL IsQ/gzj+Gvj7qP9m+ezsLOz/ZvlsbNy8PK/V/p85qC/7+Vf06UGbh/eH6Udh71EDy1x+9gGG9EMl KnYdKoJ5GTFKbjMoTBbVH7DRwURAOUycVLkIvfi8EN1Za7jyRtEhSijC39Z7Wnb1arsW9RVijPW6 hUYLai0fE7Z9jmBTj4+vH3Jmzz2fPA2rRkfmr52EcsduvYW2lzJHYPRm0NnfUwrQGrhMRwrlPwNm u3XarPctOIk0hcglmsztVprLJ9YQz9KbZy4NG7iImADotatNlzaa35TCBoodymcoyImKsB2cZozq bxeceU7xlxC8uCsz5JjN1mLLNfX5p4VuGbv2pukrdRNHhfu7QnxgbIomrKjJruyLJp/QuCR1mXTk JATRpN/lx1dhkPuSepf0VTunx9E79kmnLO4/gU/eX+wcPwjdQJ+3fhrKFMy1Je4waFpyeBso1XVW R6LPyzYezUuWa/s0O5Y0JCwvW/x1Gh5Lp/+Z+9oAkxL0NPago4ZwfRD+Drn45rPUbaCDjziVX+jF CUlc2wNJPy1eAE246mp52G6QH6ZUFuGGH/fCkn5R4SpVpIsbJXPHAZ483gAgySf3mcgNfQOZYn0q fLGquJWdzWYmqbiM7/A9Iw0d/7Tx+grZM0r36fFJsYxh89RHw0/zTfD05DTPGibFScEDQk92CcFr 4b3PnhzUhj+uPZ44CzoGO8Q0938Zvq/hG1RZQ7stjsDq5h8kSZfjZbN2SooPVXwgSktnnaMGKXVn BWH0Sz19qiWy4B4mwwuYA4WB5IwXdJD9/IX9fY+kPfgPMNNiWFpAsMMH6uErP22f3r7Y9pjahnO3 eIXGlhv7vaOvDnXoT6jr4g4kUmlNXsVdaD/Nd1cyIjtIQNxd14pN1+TLn08EEdmvj0pPNH2jDMHn SS2fVzgwAfQoZAXlLIUsAt5unW64RUdMwYi2gyvD13uCeKF6ofhVci3a9XYU8SXtUotSgu21PmkT dml3dmlNry8JkRwCJkgTWXZxeAeUB/ilF7cNPyxH2/H20K4rEGMOEA3oNl3mBi3reGNe4Q3L4uUs QXuhDQvhrFd1Cmx91eK/pZc+63rzw+Urp67OI/uDrkJ9bxXRJdyQqx8xWwYeaSUR50KRPv9Qi9RY i8XUR1CNjVRdoBVuExfH3I0GhJ6FcMA/G0YdahKW4qRcylGuq+82akADPn++a7Hp8MEV1EKTxKW6 fe79fveNRWhEIjO5C7wjR2trrFKHi1F3xYMch4wxPYsPi5cxbLQr77rGk2PaZlrqJt7PzXDq6rdi gGHZG+VubIxailyi24PweoqZURp425QJqEmYSYRutcIxNaYk0O1Yzbs0/YIFlcQYh5K+UPcbY12M WnIzyf5Ifeom5XFxuB+ASaju/U/Fa913ne1xmnzJyzBa5AyPhMjFqaZW+MhjPmXYW7Gbk2ZCf1KV ryHqFZXtXxSGQjed+ez/CB7/bt3ebhNS1hay32g9PL/ZLR2oGY+XsEo/suhL8zLrSdXg+rPMEsQf nMMY1oa79Q5Zuata3ngPxNWFuEQ2BzpqCX9kMumQXwCldIfTnBokNXRb7DLE/DoOwXBZob1pZC48 x+vujF84uwq9zTMdAl11nZTckw6STDkV+4Rd3FAeTHp689um+JEg7292jg2efFwj3UfocB5E7dZC qyMsQpOirDqXF3FLrb57uVrvjFE7ER/UBORvgEtup4QQ1LOQDBddi7TGP6QnSmGiVio8SDjTcrm/ D++dvYrBs/uusRY29b5L1j6V03f1mjZMAvrEViIBLc78+ekE38IIvh2izDzA01ufxyHWOKY3M7Jm +pYs4u67fknBqHmiN3nU67lLDb9cxLDx6/FUDU5GesP4TT8UnJmueDx+qPkn1mar+nKz2kV2jk/Q 1q56IozmTsRi11Wm4XG4yE/Q1r4Wa4P9oqrg7eV4fPODQyRFszi19B5+Fy0fqxo3weiNzB9xhydB teuRk7oLow8rjDt9FLyWXSjpFwLZ9MbXeX6Zjs9i2wkwiLlBLahHpgWxvatCfGpuFEPPiIN+SGvH cbYw9Ncsu7+HjgudLm/slZO9HAocgLo+xgUnfN/vGNVkdI68pAFjpFeZFCH8a0u8anNIltcy0S4n g/HNgQ5BQZUUvIRDLZE9PDOJHuqMo6IjbYhjSrhgYlqzwgxtGNoFHsxseOrUyzMdfCCRp9NafIlQ P2nEXjZSXMmylXDEbmXMwuWonuyPI3ypfO58nF2HA4UbEpex6oDEDvX7fvG1FeGoU0apEwM+N4jI TXHfnHNMsBGzwvjc+Ily/liw0aDs+C+KtZquJKi3Y7hFPJ6UAtGySuTM0p9D0bArkfy4y4qPPpNj y7c1VNI8iDhb3TzhdVGsESDlmv8h1QL1RMUvafCwC1QdiTQCU/JlZvZ+p1kAZqUQujjDK5XGm74i dE06qn2jLyzZ+DnuAKUbLT2e3L02KBlVRLJNF6HQ8DHkzMKjsFW7XSKHLHVIspYOYdM/C+SA/y5o xJg1DRk+yAwdOSsAj00tsbgediODjTKEF5OGFRh4pCVySKMSNx/8FR51LtH51E5/MVCHY9eWwg7J ElhMvaB2Bikc2JPQm/hd880pbaLKjSwJApZXra1ml6TWmap4KqirOcf78h0yw/8w3LY2w9/c/FHP 0RbbSq+UStjQPz6NSSfj3de61p62+mW946zdEiuruxVtQU8zZfX189xrJ2bv5dVvEEE7JD5pulxP Op5yep2ie2rqNXv5UcM8wxmP6P3tl8wroo27tMlpj2jDsUtuo8H13UtFg1xzinl9ktp4vq1q26+U mS895w9jXMpVKCcZf5Y4slCizD0DRs3T30gz76TP7Ka/OXj8Vom6RUqAS87racCrH24OY1xAX+dX w4b0xbWNrSVkJxlOu2hNG/kQu2tvjzCHWDx0bc5Z8Pbn9oCq4C3eITlDNyvmVwNP/g/21AaShnxo /iA6NEuRHOaRrefZnxk6z8zWeV/pfVs8Nc4zPjopf/dAUVB2nJ25XIasymkQGT7qpeRR3bqPDWrs p7eYKJ41jHMqDkyPU7m4hxge+VFWmQzQ5yt2m2mcd42uaSxkFMVjL0Ru7UQWVY73/eD+4VNakZ1b P9346Dc546qpQ2Gzz9q29PyxPAYo3LtgbWpXX/ODeJJ4ctG6xRnHbn+HkCtOxyBGW2Qr1tEC63d+ H8luxqbmncUeDxvF+mPZc6NItV86loGsvLPmBKD7d3HJl5IAIJSsTgLK+FUp5bGWpcRD3y6Wuiwg n2hch1K0dUSLw+eqwWqyaIQlk8t+PsG/zQNJPgShn0Dnd4ptk5mVZS2TzmzWlGdGM40el9nBVFmK dGpfyjbjCrNtNDjabnix0ejj5x99C+cL10iX43faPoaPvl8odTHpB+jnmYO/rmnzMLcazeU/N+Pz c27eNs/uN8a4LO67zh5W8H+gBs935WePWXbkjDCOLae1CXq5XS0fiM9jyjd+Oy/RbOC+76i7ZfSX aH7fYTEjf4HP9KTtcI7DFae4Y6D0uWaM5yME+6s1A6d1L+rXxviV0eOtWxajrtnzwwdHQ1gCTvLZ lO5x3YKFM8Etn60Cj2HvCQaqQtbdAmddPuqIsg90VmphUxSXskETxFa5ZksUh/FNxE65Hr+H6S2m 9a1nhoksWBnUA8ftAkFO382jjNTNSmltuThDPCppbTk4QuYvXIA/KPH5CWoH6E763rV6Y3zqlAAN gnB+hkM6jJ8Jt65Z/F5+uoxUd7w9RxymiVqLusm3OMZWtEVtVtlgXd8ckpKnHypTd9D6ptiClFL0 ZytqEmwgno67S3G5WQTPr+0iF9vti701y+IXeMsd3Z96au65iRe1vKtoph5oog37ZWR4IWlOAetE BZ4/kxuI2f+zK1wE0T+/G0Cf+YTRbIU0/z3iTfMqaSJxWwS2OAEN/6U4dDlQtKdK/CpXuosFSsbM V4zKD8EJfusxYmZA+RcKJd+nTYjVcsjhTot6aBxeU9gBkBdCmC1lSGo6l0cMgzYrekReN7APQa+J 39/5zJqrWq2k7P8UUpNdj46GPfAIYXR8/57Uj7SYzKoh3q0E65IjUUgmgzOR5CeYokGRWJwJy4py haLPitlARG41txvbhMnE7BqCdxrXOoCVaE9+YXeGkMHOq7D185r4k0jsnFI71Pi93Nke5WQjJC4Z 8skT5vGNginaPPADongiQT+yY/BDwo9O7lx96nYrAegf2wQQjL0vponFVM8yOTCJ1fCcfyTA4p+l +/G0hrkj78Pl1iHkjqw6AVNVcQ0lUUob9QNLAzqJ1xRXn860mDrbhod2pAOHgUMDRBDQcC8BBNmd kL2iYKUI4eQh6UnHG8vHhkKv/9IMXdAP2RwtwdQZP7vX4+eNIx5ISCf4+x8z4QUSILUVwWG+6QXC g2+Nc74vmymb09nnxMQCf+f8MK8BtN+9HrqRAh8Dxra4kchAddpcvhRSjRkCMkoJufkkx8bLz0pP skgnD7H3dA0+jgMQrEQ/ESNk48iyAeBvZDtKvQFOCL/2NG5/FIT5Ams0PKsKiTliNmqb6rhnqXeA 4aKNqAk378hAuxAjoescXmo3j05KVZG5KHXCxZm7LaxoR++CUWmdfO7uuYf6luS8A7tM4lMtDmdT +gUajY7YjClce+R8O9aGT2CrhOGXdA6lKJZ8bpUnUzD8bPA2xpHLEdGTpm/DSelNfcQkFomSNxsv rI8G1molVt3tO4u1jlICn/5irQnFi+udW+IjFvsNbKFBrTOUB7H2qI6YjqhnjGcskAgP6YNuFn0l Olo/PVVlzs2u2SKEMQ2p2nRHi4mWEtuMb9WSMc8K5m42zNJ/SQRMKQ7Z90/lHxBiOaM9E/AIeUho VRTqAqDji+ZWiexrQe2BC436nIQFZV7OUn7V75Xxz/Pd5hsDG2WNnpXxNmsznxrWm6L4B9o628YQ bjTy8oPciQPvdhgP+AJZaFPW0imOMElSfRm2B5wgyaGzQoL8hizLnE+jsOn9Gdpcn8Z60KieeJrc z/guhKVeHt/2bIZpayVhaSQZU/fv+QoxP8O/TV6e7VCLjfR3Z46BxgfUWF86c2kXNzkLtcGOkQvI 76gJ0O/INROPufLJ2OdzT+rtEF2AH5vQTBeVcwukTwUUP2/cAgUlV7765fttvukhRPsY+6lJ/61W UDyXY12T65GawMsd0v2uEQpMr7nzCfzizts6W27wdg4B7bkduc/Ez9DPSE9G0NTvAECx7Gptbeol hlamhw/u6jcSyFEj656nZKdwA8waMlEF9IX3BeIT9xPFtZRu/kgdok8hAlbhASaP6BtCgZyPD1rk bUrcEe+76pdoV0NSj7HcfkumsUbo9V+fGW37UVUWbrsnP2WgnmqdEFCRrOk1+p0R7JoceWSMhP3S LfEDUydevLnmPxK4liZLZIII5Xl0ce9MLkm1xwdxwXJcbosVOdTdCOH9FwAnINjf+F+RWm4bHeNe grbr5snvk1rxIXpKfIj7KVGF05yLnAJW7+DuRaGfcFdwu0inUCF+Qq7AvD8pXov5nsndRgv4XwgP kT/wUe5vEBvvAdU4QVuFHO5yroYeAMUdpyFylvaTPno30egz9G2aAqv/BP84ncdZsFpJzkqnQ5o4 wUfoL3gT6WJ9pHEuk3Zw57hF/LPSSb4S8txJ8jNyPeVpKWDnwm+CXA0MuIvLBU1rBjX5OS0jXnIv 6P35iWcZxRbfFHcBzh7mC8mlpJR0cz8mtcCNP+DphG65jBwHDN5GSrn7yA2Tg3Q16P580E+OQCAl JdQMaulB37Zjv3Bz2aCFy9H0P0H/XwXVb6N/JtdQFZg1RvIElnK70AzK1AP6uwvPatKN0IPkTumI +HPSTj2ECOrEQ4Dy35LLsef8Hu1nQdP8DVC2h4VC9FoFZe5HiQcn5hANz9fIjylHtqHPM4HnHcIc UN57Jq/ECK/AHjUPe+Ir5IrJe0kj1u7SyZsnd5Hlkw9PXgbRfcHkE6C/WydHSBXZIXZxi8WEUAEa +wp9EfvRb+gu0O055NegRzHqJX/C8z30f6b4DBkSfgXaWT95++QvoZnNg7b2ftCZVlCvq8ifMW9z +DFSPnExNzzZwvdhhzpFLpl8fDJMTWT9ZC8o77NkvyyC9gySkLgfsLtLWMuVor/5xE1LEHuZuJf/ Ff8XYepsAK3+5/efGfjPDPxnBv4zA/+Zgf/MwP9/ZsANGckDfssLLsYPGTYfHEcBJBPG35eAt6kA 7zEdklsN+JcZ4HMuAhczC3xPC7iJeeCz2vEswLMIMlYXJO/LwC91gzNaDhl2NbiwdZC8rsCzAVze RvBFW3Xp7xrwQ18FRzYIWecmcEg78AxBmv065P57wBndC/5pH2TER8CtHQSXMwrJIkWOkecgC/1A lxtfgqTxQ3Bwr5Ifgxd7jfwE8ufPyM8he/ya/Aa82TvkFLir0+DP3tOW3Lp500B/38arr+rdcOUV 69etXbOye9HC9ou1+pkX1c2orameXlVZUV42rbSkuKgwUZCflxuP5USzI2o4FAz4s3xejzvD5XQo dpvVYjYZDbIkCjwOOAqboy09ajLekxTi0Tlzilg4ugIRK74Q0ZNUEdXy5TxJlZVbgaQv5dSQc+3/ yKmlc2qf5aSKWkfqigrV5qiaPNEUVVN06SWd8N/RFO1Sk2d1/3zdv0f3W+GPRFBAbfaub1KTtEdt TrZsXT/U3NNUVEiHzabGaOMaU1EhGTaZ4TXDl/RE+4apZybVPZynuXaYIwYrhpjMijY1J31RFEU1 fKx5xepkxyWdzU3+SKSrqDBJG1dFVyYJU2Em9CykUW8mKTUmZb0Z9YokRkN2qcOFY0O3pxSysidh WR1dveKyziS/AnU0Jx0JtNuU9Fx/xvt5EJVDWbrji6l+fggKLpVlHhraoSb3XdL5hbL+CKuhqwt1 JLlYS89QCxq+HevUxnTpSe7Wrs4kvRUNQt0b08eUHl1aFx3ruVJNGqOzouuHruzBwmQNJcml10VG srK0Y5OnSVazOrSwMxpJ1vujXSuaAsMZZOjS60Z9mur7ckpR4bDiSE/rsM0+5bFYv+hZgylPp+k+ PTvztV362bxS1sfoXChwk+oqFT3pjGJM1cxaU02GVlVj+vHroiiVXI31uCJpbOwZUmoRr2CINCnG lKg69HeC9Y+e/ejLMSumYqSY8nfCEhmUfAZoSUjoU0CXTCSSBQUMQORGrCj6OFMPVxYVbk1xyWif osKBKp90YG5XdNWWYPIjEba8u1IaWYlAcvCSznRYJSv9I0Qrgcqb62EpYxdSMhexlMELKZ8V74kC jg9DAUFIZtIQ/+zPrrhdzetrk9T9f0hek05vWxBtgz5cbR7qmYLZtoVfCqXT2YRi3pA25aPpgpjw pBBLSrG5UYDepVCsIwJ/Yqwl2nxFzxygGvqYdDV28n4OFTAf5+f1qgC/ly29UB8LdFpYXUJM0uF/ dUo2AID1GKq2JJWeOWm7yxSJTKHX/1Oh1OQ5Vkp3Pi82NeZkbWJqVOkxJmd8Kfyl7lmG+LaFoE5c 28KlQ0OmL6W1gO4NDbVE1ZahnqEVqcnBlVFViQ4d4zv5zqG+ZlCs9PKnJo/v8idbbu/CUNbT2qJC UCnSMTS0epjwsYWdSc0/THXP9MZdXcn2RFc0uTIRjUQ712C6hmuJJbKwpxE+jswajtLbLhnW6G0L lnYewzGmetvCzhGOco09s7qGc5DWeUwlRNNjORbLIlkWlQUg5gOXRjiDnt9/TCNkUE8V9Ag9vArn mnpcOhPiKFmFA3k9TtHzDcf1hjToFlalhHSKdqEGAXGGdNxgOnfeVG4DUhSWchzHrdDYsD6nf8MI LOzUTNO1Wm2GNhP6OswIixpBzHHknUHJ6EwozvzDqBMjQHSKDg7P0PzH9JrSUcfpIHKyuEFUOJWN IyzbFypCk+mBL4IzNYJFSztHZxLUr9vIMYv9GL1EJ6agRod/wI2OD6AvgPZV2MDWwk0BhXuiwOpo 6zB3Meg9XKq7Q63R5tXIwQx2iEr0KqKu7mK5ogw62ApH/+8yoYrPMjG6p1c+pMxIU2q9CT2EJPwN JdclvhRc/1mwBcls640Vp7EK8KzDZiR5pT/Z25VgyXqWFewgcghAXMsgGZCK2NnM9ACxZycHV63A OBjSr4oiohURaudKHO+hQravDKERddUKFBPin7WUvDrxpSoB/HRhZwQVsVlIDnaoPV1qD5CFXtIJ /FaTIlx17YqkFl3BEKQD7eOvA7QKzoqhBShLutCoPymDYq1dsSbKqALiuvR51VcGrbcmyYLOJPEP DUWHkhRdjLUgM6qPJ6X4XObgry8RXbGGsSFoT12xRi/bgu6ytYmw/vmbo5EuZOFibN7ZxAEXVjJr 1VAUtXX3JDATjiHnkFozBMjuBlIK8VWLe4DAqqK2qPpSr/AjhHmdy0JdqCid0RhjGVFe/4snr0oM d8uxz2P0+I2JdGaDXit6dmlnsuNCITmWxB8q6MeVBE81EtkCUUaP09SZTZ4Ym4vp1QB6flZaTXIg Ojp5ZYXl2FxW1D8VM1UMMTpuMngHIR+O0ds6Oj9HmIWXJV1tly7zY2KLCCFSDQ1wzH0K50dPkYUw xQhfDfMNgZBWmHMwhTALYFSYlTCdMPNgboC5RLiZxMQfEkX4PSkQNpEITDb8M/k7yFyBTH4CtwX5 muCyMhfBWLkaXF2o0f0WhJvRrpUPktWIy0CYg7GgWzgugM38ElkMN4KzFRdOREIkAI7fj9QYTrBU xGcTHySATJyVxEkQGlMT7t4aSAbOUBScf/C4r4wbo6jHhnNNK2rjdLmB1Y37IrSfPosTmJXcPbzG Py88J74srZFnGTyGh41jpgdMn1out262bbLfoVzs7HXty3jPvcq7MevPgW+HzGFJ/Xm2L9oYG8sl eWvzT4FABqDdDogEbcqkN3lronOYo89wz6FNmXt+hIhCinvuME9MMvMcocRnkMTnkc4RnuYTI91A LyfehPJx3Xjdxcr5uvnjdaQefuVTWNNK/cNESMm/Gu0lVIY73EuJtyRRkiid1hVxRBwxWDQgkE9V fuxTTSSfYMnG0CEyZ/JH0iqcVvKYm2wyjTTQW1jftCgOOnnuSekxy5PKk7HHCp8sPSYdtRxTjsWO Fh4rtdxp4DkuxedqGbiKQ7EcXDiT8DOr/C0mZ4spRbuOCrxAylpwSaZLy6ptKSjgsEXw1JxbPfPf VdUdxVQp1oq54hT3jmadJVeH/51ZbfPNWrjUm8Dg5o9/fFb5uLsfDqmvV+rwnB0/q9TBOaucpQ5n TQ0zO4oT25QXp5V6G6/T+sSGilhpPBbT4tXxwlhdTIlH4h631+1z85IlFoyVT6sKkoacmUFak4Bv Rj58LkdmkGSL4SDNMsMXMMJXWVIWpPVxWNOLaoPkojxYGXZnkKoSLLfVHyQhAyz9HJidBX/hKLmA hfXfjaSbdvuHo2Up+XeHe6MFJj88R3tNAi8KTj1OEAtqdU+BmTMTb319Ao/yYgJ/WDOKw6VImTsz Q4pmx+OVFVVVnmwpM8Pj9rjLy5hYlxunZe4vp8t6hgvJYt+nOV38bz9dtOPuJ7a239LesaulvN3t yMkMl2aXTVP5J2ffMf+pzXN3trfvnF0aLSrOLi3OKS2NiBv+3S0+cvob33tuycErrhheUn3t2K65 00POivmHn5tfPn710oPrhp9Z+viGK763uLKq5b9GZ5dPnzvybFs5w8mFE63cDTgZd5G2NAzd43jc wX3NstPBme4zOsh9OPfFZX/jE7bsDolKgxkLL2cA3X12HCsLaD5bf3YazkEwcaPUhfyYFDYVmfHc OFepkOmZksRhDkIcd8O9a/Y8SMs+/spDF0eyWrdNbIzNW/sNOvQLWkUnry5o+mjinpfeODT0+LdY r4rRq8V6r1r1XuXkCwWGOSKP7jjQLRcOfIwmdCl9mYKXBjM7H/1fu8U6ZXTRC51yVWIlnJmgIZVV VU4sB2D5vjW7H5x4/R9f2Ts/4mu7QVxd0Lb2zolrfjnx6gS9Otb8Id3w0i+TQ4/pfbp64gC9j/wI Goqr9D7ldnFdnhfdvNHT4zvp442UyIJgNzjJUadmMQu19sxw5mAmn5miBbh8Z19u5+w+74PoJpCl e/54N9Dk7BlnDTDDUzOtlHbTfv/TmGqL02lhsFVe4igvKcdcutBbBjvRbJkBFuCqXAeyq9f1G2XZ HHNmTKttq5q1bvfEgcLs3R0uqzHDWFs+rWXT8nXDbC6/MXmGboSewkxm6P0OEE0y85pRq600avWV y410r/GQkTPearnyejaH/QOJBOsb6NMIkfSuoBexC4CN9ikp0RqKixsaXtDt4hINVJ60Tr7PPy2u B43OIb9hLY2sMEAfII2IIuZAGrFas1LUrjmNWSSuxTkt3hPfFz8dF+IOFm1bDpXMdlwB2AcC54sd pyFQqKm5Onux0t3/8XzWKdYtUI55NCeak50DOo8DPE6SYwF/0B/y85Irbo+Z416fx8dJEcGxkoSl rJU0wwaf2wJfDlVXUr8BllPJXEl8JlgM+XWCwEhBQaKg4Eb/sKim5D8d7hVFa2ZK/mCk12rFkgDb 2XpUOKdjCTxuRwaHBcmNT1cYgldNr3JgldLrxLXevnlpz4M3PHDbz1e+cONVLzbX9FdtDhWX5tTk 1zZVzqngHnqftl/asPeliUMfTRy9+w8/+MfE+8N3rxg4SGvef2BTaeSiBRMPsrU7h61Hwpy6yYi+ dhmat8e7z3vaKxCv5uW2Ql3F2RpcOINvwG6zD7sBr/sN8EdRwT/xMscVOCdrgP+vGu6n2nHBgYpG g4Xjcd3kH8g+V3PabHbNUVlq327fY99nF+w+z3Euh56Zmv5E3Xzl7BmG63X1dQ4GsDXk72c/pX9P JHTM7+/2H6aibDSl+HdHeo0WNlFljAi4YuWODLfbkxmpnMlVsslhMHyOtkZcdZdNcD3VbpMcy4rN En748Cc7BqpDXCzGBaddz/32rgI1FMboCzH6Axh9iN6tj/4m2Wuu8XgDF1V4NVg+ZtlDbne+XCfP lZ+UJU1dJiw1LPMs9W4wbHZsdj5o/rbtfsdB80HbK+Irnh953/K85T2t/kv4lyczkwYFn+jP9Ll9 nqBXNnrMXnOwwjfbt9OzW5W9Po7zZPksPsnK+zhRgtYtM0N2CdYUXa8ZjVqGpX7QSI0pvlyzKGLW bh/d6zvk43zH+XJM6R2jlLOEUvQODdzJu+2u5a6Nru0uwZWisubSMLAsomrqoMr3qPtUTvU9Q/+F vdxKNS1jOa4KbOd2c8/j8scp7r8hJPrCx3Gt4jNcOFOXxobu+ee7sa9iUc6Od/fX1Y/3D0tMTnp6 t5E+b3zdyJHu/q7EGUZc9DXD1ssp6SyHt/nu8CG9y1a3QxG3vWjDdkz7B6ArZVhAEv6nrVYlFOIU Y8qQdbhXETkfPCO9uPKu44CzpsRRU4IFpnykkpDKCiyrJEer0nQJtxI4OVJWVTWdP7D809NQ16gP Xb16bzzme/2B/W+Xtj72r5l0Ze+SliwqTnwSo7PofU/e+NiW/mMv/2LPunXfOTJxrlqZBm6W4sT5 fX4xVr+Mbmerf4yYJk+PWGqM7HpdnaWmwdhsajG3ZQuvG2l+fnW+VtFT8XrF6Yp/mGRSQRuM26PX Fz+VcyznePErxaeip2K/Kf5T9gcxy1xDforePpqXp5AUd2b0ZCktTfEVR3hRcVN3iu49EtQSJRVB XAEfVaz5ec/Q9WA8jdzvcSMPK8bt0VcM6z6atFBLiu5BfNFgEbenaF8RV4T4I8vl7ZiAFPcHzaRV 0H0VYxVcBU7/Zz6tuZ53cS5fOSNt718gbWcYZes+292P1ezuPwMeEUQucXag/mz3WcxzmtpVFZeE 4ia7IGVHopGcSCwiSGLMFo+bQMZKhKKVNGSHL2LOXUlNxmKpdCUNW4OMril1U5xOwY34YX37uwdI fyKBbZHPywe+HunFRPClKYPrcC+mIJiS/z7Sq0zROrSfcNYwRGZLq2MA415kKTK1C3mA3Izysd2J IXeU4TmDBnl97fAtjyyZdXzbYN+dEx/uXFUS8WU5rvXECtbeG80KJ+65WG3fO+fGngfWC607776y feldD007+pXkjU805QYLDWK9ZH6ot72tOpjXEDJdfkv7uu2PYX9RQQ2OAR5MwBRepwd5biu1k2ar Zuc1Oy2w0EwZmwHljaJEBYvZSgSLVZAsVmBtQHPKhgxZNhh4QZYsuAFmpdZn6IPg5M10r2YVqWQ0 SJJBFCwW4Rk6F/hooGs1s9Fo5+le/hDP8Sn6D81L63X0tdMeUMrTdt4uaTKVfbYv4Gh/nb6mdUBQ eN9TGM9fX1OS5oiV8YE6R42D7fqMFRbACzOv3W4HLR0AG9U/4D9iwcV5q5QyeDRTr2yyWgXWLeBe PVakvDxRhgJYFZoZdUQdkUpaDofyx47uH3+B23L1/okcev7rE9+iawf5mz69nXt4HBdJKFkJbLoO Nx8jdL4+d42PCtTZFboitF3cLm0P3i7cEZQrucrIIn6RuiSyIbBVvC6wgxvKGgo8wj9h3Bc9HbXj rQe74nC6Mt0eQ4aV4zEjAc2hRjJUXlAjWf4AL3sFEbF7R1U14joOqublXRrmn75LuHcjEYhtx+lM 4qezjwzK+xiW0L8DS6JUi/ZEuSjQ719HFW5fhEZYJZpR1ZR9Cqf4so/jAtYHOsqc6cZmpHRDqEgj zhkQQPjBF+jogr2JUbwdhuKEiKklLJAmepp1gA5wA+pN9CbuJlUC9WNEDzQPik/NvEHY6Fwd6hP7 gmJ3FxMCeDVliBzp5fmI1QtN2mEwABEOUSO9EWy9jBNg2MFWQY7IAsMNSfoCezaFFsCKXMpfd/HE +i5qfODWJbdcsum66zcWR7NyS9rmbxl+aNdVz1JBnPfU0dyHbkttODqYO31BWSChRCqGt3/ll7VF MmcH3Hdi5YYB916SRxP62hVsMW41XWO7yfhW7IOYJPF0G3+9cL37Vo9QZ8iTRD7qy/NJvLrcQA2g Y0fVOI3H7bibeMeol4CxodKo3YprulRjK6o5zVmkQCvgtIKegn0FpwuEAl96lZBEXIpLdZW6NNce 1z6X7PLlf86YfQom9swUZ6aTLWxFmJTuswOYdJ2rndpuzLi4xrYbnXMrDMSMzmAgFOAkR8wajxmj oFaKfyWJ2ODLMcVX0oBTXUmyLbAYa5YW1UDAdPLlHzbEQaSO9BoMdi9NyW8e7vWKdjBrvx/ptX+B bun4YePlC3sS49McFc6cqnIKiesC2WIbF3/PLY8/siFnzzd2vbbuhtd2rXjuTmr/54bx15yzW8rn Ltl527b4EnF9zNr+nR/uXHU6+dTtT102SoNH6ZyJzvGmHQt6fjer5NH7DvwbxImSeZNncGN1Hjjt 0+kdS5g8Peryz8TFcLwBA4/PQEW+wDiLaNYe6z7rq/QV7k36JnfaiiXAnVli1aw8JwoCXmnSsngu g+c5gbeK2uxK8V0qwZHepUCiFL3/6D4zNfss4nHufcJzf9QseJ9G0IQOYZ8gCs9y7xHLFAPNRDWs EiSO84xXSChnE/V1O8TixA7bthenUMO4Wdws3SLeIglTaAFeYADz7j9qMhEBPEzKEB7pRcMM8LHE mFxXJJNJuxBJ5NyfcL+aqMNtvIld/aULy4PivPi/nxNe8hf3mEFFbwD0DgF6fdDllNNHdfg9DlHZ WB4uL8jdWH599qB50DKYNei/KTYYHyp/0rs/6/HYqOVw1tPxZ3JfMr1k/pXVLRMTlaxcljHXbfVk xawxWxu9nd5svdX2JLHNILWU6X3m5i2ny3IvK7+SXEmv4NbFr8xdX/4VekPu1sIbyncLu8VBedBw k+Mm5+6M3e77hHsMdznucT7gfiz+3dzvlqeEo4YPzH+yfGD7IPeDsnzZasytJTW0ukxsMhBLVq6g W4pHl2cksYjJMy5rsMGI/ccIPGKmFH4Fe4ZCKrVKTqvsqdxXebpSqIw+iwQedK8AyGYq9WiePR7e 46s4Tv88RdSwOGfP6wTt7JnzaSmHES7K5EIIO2WJklC2wy0YMmMRMQqRRg6upIUZBStJsRN7fbaA zT/ERJqEu2glKXHA+lymSbCdnxE6/A34n86ykFzBJQFh/nC4VxJdRVBnjPS6LmCOR99YdOVFWsiU gSq6QiOXCZ4xJokypGEo5JKYM7X9050Pd7/25KM/6j2QrJn36+Ef9C6+jk67Vtu6du1g5bSqBR13 XNV7U3w2d+CWfYtveX5kYN5DG267eG3/7h9ft2LT0uE3ere1X3HN1vaK9SUTf2zZ33PjA9cvmVNz JWjfJcCoJwA9HpJL09Jr+Vdy3xJ/lf1WrrBeuE7cZrjeeI3lWut1rmvUXYabXTgQ353PzTCIud5I rlfkQzGByOJxuop4qXY4twN7NSiiZiyJbYxB3CBg0qURmwjaePthj4dYvYzyZVE7XmhXnKqTd6bo GlDBfC1/MJ/X8nvy9+WfzhfycfdXw05qf1ozPW/iTL68L/F0EJYYUzee3pvqp4iicv6sw6nvTmzD T69sgT/H4LDElVggHo2HrZGVJGhnQqoBPtUcgqTqgJVtjH2RFCawpPrO5R+WYyn5H0d6ZdlG0rSQ WG0hCK4jvTbxS7uUh2k8pku6+iAtvGZmcNivKFvP9ILqW1bvTad/mv/t7btfW/uVlx+/5s53Xn74 Oa7cOeu6+V1f62pYXvzVQIzbQnMOrXn76ZFdTw4d+OTdietuvJI7dtPFK3537b6Hfn7NYohsHN6B +I1wGXurHFrTBxjGD0sy9I5HxXZhOS45P8fPQyaezwXJJJOD2oxaSBGDhOuAtQ/Xck9DAyBJoshx CqUnKa6Ya3Qf5QlVqApx/zIj9Cw8Ty4zdOqqKKZprAOZA+uke0l9d38C+tWPu6eUrFDOyn8d7YXm GO5wL/lMyQoipj8xYfonrzDDb7r0/KVsBDg/EJPQsOL1Wm6hPgJOPxxz0nCIC0HrGAqQYJhiF8t4 jn+XeGBkGBP/ruYxcIEQbzcE3Pj0Qx9ukXOUGuycgZQw0tl94uSJkhKG3VCL/vkjWpL+Kdt2vPii AgOli+Y32Ox2q2IKGcMdESnT7lKyHFl+f8AblCLsFaNYJXNGSzsrdDdRrLsj+eloNZ6Ozgqloz16 9Eim7mj3Kq4Kq92MymvsrfYWZW6oPdJlX6IsyugMXWlfp6wPbVUGhR22IfsOZYdzZ+i28AP2B5T7 HQ+EjtmPKd/POhb6sf1V5UfBV0O/sb+pfGh/X3k/9C/7P5V/Bf8VKjTa2/xcGIobTBIJhkIBo83k N7oDHr/bwMl+Q6Yjw595bciuqEooEMh2KBmOPgdld1lsKe4VzcGFMjguFA7uJ7jczSYuRY9oFoNi 5zPdboPBaAjgvWPNaEcZbr9Nc6S40tH2EA2luI80m6rZOmznbLztcXXDkK4L9GVByebNYqwik5MZ mMA+D+ZxvG6HLc0h7ui2FXsTOyAFJ7wEampl7H+1dyjbXqyT6/Cns4zgSdI/OtDd5X86ZA8GjfYw 8O+sZukNhyEwyJ4MXleHjPa6jQYgYnnCU8ZWPwHMh+yM/ZNGmOZX141AcTSdltO0okRX9Zk5/snx v12WPWPlxKJFvvKZ9O0ofbOme8H4B5fU5F393kf05Tfac8Mlcixm95Z+U7jsk/tuu0SMxYTiSOFy auVyxn/LuJECnIEdBjdSTvfou269VrkucE3ggdInvQdLnyk9XWlY7OuT+uTthu3GQWlQ3m3YbTTm hP3BSHYs7E9EogZNUbhFhojNFjb6DTKTuyMsRo5wXFjyywHFz9EoYDVYTvYnikmRwkRg7udapLAw AaXv/qD//UAgaDAexMvAB+uZXExkRW6XedT1ntah17W1+GBhIlxUgqK9WQdVQP8pP+9f0FHZh+2T rySK5HJxixQLNFewrVbY2bEcCyubo0fmZLHInIcqTh+jOyAjKB9jderGmaV0g/k5331m/ONEd/dZ yAkMCj7C6sOZ0MEAywEiwQiycvYjovw9QafcKd1Wt1+zFxcnJClhNCaysoIJasc6H+mlNJgg8I30 JgogRh/uTXDBDD0cDOlqsCBb9gTEBF1OSC8705pMKU4cERwITIfgpsvNEaYmK9dViNPLoVNhxwFV usIMInXEFY0zrSLeqynYnFshxWI2m/PSRRNvKHnV721aXzqzIW/LJx+WliZUT1bOwlIh056bWV6W t0bkxt+PFm+eyFsViOZNNCzN9aglM7dNHIx5FG0V339jKC828asNHZl2BisRwAp7L66IXqtTu7yS FA1p02Orq4yC0ZQs4e9LHE+8nHiL/3niA+ED0yfCJyYjpCVpO6BnUByUdgN6DLLJWADVjwVqkbhm NfjlYNjviWRLABcWky/6JVvY745EQ2F/PBJNFOaZDBYBZJ5GsbAevLEYJ3lKHpfHYCiWiwMECJq5 ibyDJJ+S/FJswn3Ye/cAJyDY30gSXoxsl+nz+mZ+RCsmNh1GbDo42HQYsWWHgjqMBPXIoA4jwYeK V6zSVcoMOObrIAIZHbsGO7ZiuzXg4s/dgI80WGDV8MeAA1KIDhfjF1wI6/1MWE/4NUt+flwU4waD J06t2GAYcHjiaeCIx3QdS5zL8OAdSWhHPTpYlP0vYFEKiuBgAACQKOaiUUf61KgcqlP9bGhKs6xD A9LpI/9Y1G6NxWhuc9M/rCa1sHTa+PHShXGv1RSGUpb/izWa1bzmSoDAh20bJyrbW2MTi9dFfE5v LDZNvZ7vTfsn3ljelcd2u2ysfgKrH8ZnFYbZ+h8jxUD2b9ZWlhRv8W72bw7ckNdXfHdAvs77dM7x vN/4fxP4dY7ky1WK8+I1sZrcGXmlxUtzr8jtKx4sNr9MaFYgP9AW+JXvN37xiTz6as5bnl/nvJX7 Zt6HOVJAiwbzDAADQySbhv1yJGoP+zMjURJUCwuCefXRdigConJmQR5UTZxBxnFKlpJVmqVl9WWJ WXOLGRGaWV9JiqlWnCzm9haPFZ8s5osLqQ4CVF9tqoMAzbbbdBCYggsdBGwPFRWn6DWjEQYIiYvP fw4I88GzDSQ+7p7P3nuN80Uf4AMCcM52pcGC8W4QbcG4MWjAHIMvD+TkewLeWF483xMvpzkBWLm+ gnIa80fLwYDrgivE1rkLr9OUUHYkHJ0hZIfUGQR3OcHLYDeCrjXNmkM1wY7QEv7hYBTs25HeYNCQ WZCS/zLSm5mhg1AmJxqgbgYIGb4EQjrgAFjKvwQqjGx8dtKYC9rCdHSMz5Ppo4H4/IrxZ8oXxzL8 ufPL6V+O/mzPb340baCh8tLg+nvn3LKwvIP7ysSWwXBhLFYd3sz3Ml/byPWPnbTNNpkeHuy8tw2v x1LcvCVCksEMDem7Sy1enuOWBpeGNtAN3IbghpChJFIfaY/cJ97rf0J8zC9zNBhyh/1KJNsY9tsj UdkbBXOl2A2RFDemuYw0QTSPrd5pBxh24PU9iLlcnpZlMOora9RX1qivrDHb4w4nQgwUbKwECSmh 5aF9ISF0HB9ZcU9+pJnZ9uDWV9yN2kfV1d3pjeF8N1veEJgocyWrYMRsr2AvUON4Y4ocNHZqRqKZ K2EuJL2ng8B4HaMCryivsLM60u0/yoVCiiHsTcnnj/SGOavi0JdHubA8ZQAYdnxHQb915SjD6S8s ExYDKqOoS3jYHje7wusWPu+Pt5eM/6B0cY77keV5Fa1yXBHnTbywMKd2+ifnt4ULYrEKdUCw2Fy9 l0FI4cjcybP4WtMh3Iu+iN+lU+00j6rWa2xHrNfYxpnpl4tjBrOZWxTT5y5GLHg//Zxmdjq5ReVu lgXhdw6zCYPnvJbJNtpyPW95jay7MnAGc60aUaS4nISE/MLSCotmRKUWLRhktgNJltTkL7QQywQV 6nYv9eqxXj2HV4mF5DrcPCmBpu7FRKIbkwM0SpwoGQdi1fwicYKWIMCiEmNjbycSLyq/ODGtFCoI baM5MFTOORdUUacarhmsf8J41MQ7E85tZFv518gu865KKeh01yr1g/WCMTBPnCc1q83Z82q1+p1B g8kmqyR7Lm0zzTXPrWyb3lg796Il5nXmW423mG4x2xe6b3Zz4frl9VyPoZxU1BXnF1U8Q/24WmKZ HDtqrLHkmWswrDHchqhULB0WToPVY+FV3dlqESx13tTkm1q+uabdu9y70cuXeLd7Oe9XwwplIy6t 0+o4DLuPHREUVWLeUnyL5hDMxWNFtKgnRsqtFktFBSb+U6yAtKj8GYrP1ZAYa9FWQ2Lh2GBsT0zQ Yudi3GCMxhSWKfYM1wjBKhPQG67Byeo6LeQvqZkma7YaFS+EDsq8ItNzMmXCbuPMxqvTh6j9AwMJ pmVIKOMJRukA7zpHrItO0FCfHz/TrZztrz87gOOkhKOG5UkkStIaohHeQqEaSguwU7Lr7MoZgajo ml5dVc1Bd24y4MA1W83mpEpzjUocQVeAOF32sDVAs6MzxJoAqTZUqLSywuwMKAFqy4ZVK9UFmKaC kULKDivwh+NXdlhBB2g/6cepFBS0nSP1TsrUsgkyAG3t4WkYKSDy9IiiO0dtNdNVjD01+T6Oh+Cc 1szmGq+Ko0KYAIP2LHONCUs5HcaUZ4JrgmuEa6zRNSUM7KZ+XRin/4jXK4QsFSn5/SO9FktpSIHv cC/WMz9lsB7uLTULdSmDcaRXYKfjYPLS2mC2RQDhYxcUwWDipqePQ6RMj34pRD+7Z/dBIAkxqgwe MJMJ5bkOlElrU7jZd+RUXbT8K6H8H3+0ZEF9LM6VxGMlyb3XXzwj4DR57Iols65v7bRaem9he9Pi 6nm3XOXw3XRl47Smaxfn7FybnV1YW1xWUbR4T354VuLWiVdunpEhW+uq72n6Ju2u8xX21MzBaQA3 +Qn0Ksdwv8JNcujHn9OO4RBUlefB9oMaiBk4csDhA7fICxR47zAjFfB8ephF6R5GKeA5r1lZfovF 68GXwYwukEHNkaEZkS0jk/hjRnOki5P1s/v6txOAIWi2dEx/OzGmvAy0Zxeh9LNLLY4qeFSBcqwM KxsCbxUjXhAiaZGXY/DPuvNP9EJijf/5aRZlscRjbPYTCZCOMeY7MdXeCdYcE6qvU+L0UemodET+ U1gQ443W7io1voXfKnyN3yE8xh8wyLNlWmvIyLU2uEIZTV4PNKp+N1FwGHGhJ9PC4h6R6xEHxUMi L35owcfAvDkWi2LtsPZZ91iFQVhJKw5yFatqLYV3zHrSKltBP56uq7T2xF5oSzOfjOWcDy4TqDfe PZDW9w3UOzw1+qm6zlrk+VTeLMdVPqTSLJM3QHxesyVgQCgsRFTqM/uhf5D80DoDbBnqMMyBXggo AyzppgNdXf7RTMJFcIh0uJeTjbjKBGHFeAFeAab0c9U44C/NHeTixN5xgV1gGxSdceu37vjZd3Yd 6Ni/2K56AwU26ioqv6pm2be/vbqyMo/7+Nhffnr+7sHaWv7Ig3OylGjfeN74b8vKf/R88vv+DHAJ LYCzVuxRES6bQdmIQaDDU7sUlyXp7Jmk7+zslI5bJLljdqPcE+mLoOf4Jh2DuUgQ+8phVwa3CJ5X j7J9KzgNX4c7i00i0V3/4lkdmE4wzcmwM8qI9aaCogoSZSvssS4RuYBrobBAXCAtlDv9nQF5nbhV HCSDkcP+l9ST6mnyB9E4Hd8CWOxdFFge7fH2BLZ6BwJDzq+79jj2eB+jj3KHoqP4osEP5R/6PjCc CfxJPU+9EtfqXOLcFd6lDkbPRWWHSp/FWxgqTBhkCXcWGZkvBez0RAYjHIkoETXSEWHj2hPZF0lG xiInI6cj5yLWyNrgKTu1/9AdM8oY3psjGTXM0aqdNRikOfJa2ELbLbstnKVEwevmGunBZxn2kCQ+ WHGaGFkER57alHVzFteRRfdmUdywsWjOcxK+6qBI6ctRotSY3XiM+0b6xHmgf/7Z7oH+8f7uM/06 6EFGPXu2H1qR/oEzzik0NC0IrgpuCvLfDILq93cBf6qrq/GdC3ZcBk4VGwMjw0Tx1vhBXY+6akRF qaGYelBk0N+xYSVNVmkCX9/CrSa73RiJ8Ea3fqXGKPPBlCEw0stPASOwdUoqlkALcYBM0qpndmTD BF+Aoa5nBrHkW2Nv3vzg+5Qe3vG9aYUzQg5zNDpz9UWXPLxz5cXTK+hlR/6LSqfepLbd8+Ml8cyt 4VDryocf/aSx+Dom5TRNnhFE0LwwKeIGPqd5WrxE13PkS14dBA2MrE2BJlGDbp0Eus0Y13kwNIA+ 1cLAUtVzI/afmg7AqpcRQTVwHGrAIGMeEAqGnYwYKi7NaOMWuTJIDMtcWMiAFzeZQAtLYNK0MAGm 50VljNFFxvdcIIiXOlEKqmCeZ0UDfUGqBXuCXDBsRjVmt04V3QIjgehhBnNVwW6HzTH6qKolxfl6 Hn1w+HaEVFKs08kTuiYKjY2dwI0P1pnu7hPQVHtq6t9m9PgYKYGGcfbsihKGULOgYuwpuUG4QRwS BksOlYyVyFrJYAlHStwFmYlF4iLDwsQ9Mj7UQdWS6abZpsWm+4THC/aVyGMl5xKcqhI1chy4YcbO 3FyntquXq2tNver16l6yV31KPia/XGCOG1y5lgZnyNWUGcx1NwRCwaYwipmFwkx91sKFtLAwzJvD xByx4BRmnebM7HEPug+5+bB7j5tzf5jfIaGv+JJtBXOfxllZY3Hj9ilxf/7Z8QGmDmY/cPPsfgUj uIpOcaH3YdeZdMKbFU8IhtxY3JCvkoQAK0+OqbRALNRJLRPp2EEk0EHHhn460N8N+QEcAz7BaDZC Hf/B4V5AOL7aJ34O4fqVSBzU6up3J65STAljjNym+QCPGK10QLC/AOvcDxsHW+85/c//uq4dZDcr YaWOInvE7S8yT5wrlupWlXQ2L0v2LlvXctEnL71EZ89/8ts69f3k7YdnBxzR/lfom019Ne3rf/Tq rxjks3PJBXwSF1mC/OEvQH6ewY2d1mIHqBJIyXCmtCeZpRqhKggOR6AK5wgmVKfAzKM5HA7kJ2Z/ zCEzfR6O8ZHMSjPPEUapoXGffEMvAc+rTzOsEaaZzexqC4g2qDY7E4ELrRwDfzACJSfGPmcDgpns ICBJeNYFjfDpTqRbTOshcxioK/jsYFLGIUMPmN59siDfKXxHGMEdZjQlY2gMY+MMDzIywiGMk3kx WqAHGy0cm5tFQb0Z+jLzkICSHn3tfrG7GzfZ9PMboAfjInzO5d5uXw/pyXiDF31qACxmoMatBWrC bGZMja0VhjDbeFgQd4wq9OgFBcUVfsln7HRd7l6Ou2nLsmTcUZFk3MITM+dKO7nbpR2WIeXW4CPc Ae8R1y+4t+y/Vs5zf+Ndzh65x9CH0e00/kD+kf2cjP1Ttt7C8UaGTxLwqbXK2MLNNraHF3ILjSvx jZmdrp2++12PGh81pQxHjEnTD7k/cqct500ZhpP4nJh8Uub6mcvmbg8mLYkD3G1CBil1Z7IRuJw1 zuWZ2zP3Zp7KFDIz/T8XKFbwJLYlOO+PuJjzpjbHWcPm+DI/ZTAgv2Zw5/lr7G660b3dvdvNu89n ZAwaaKlhj4ErNew2nDLwikEzYCSGpOE0vgv5lC1TIDsZXOHDqs5SG9Pc88Sm2FQbf85GbawnRsyl rTHUOMUzQXyZP47rNBBO2K0a3JXCSTbWCIgMnBzABsLkhI2ZkBPY2Q/2M2xo2LggqldXM11dY+dh iVCO6+/SBRsUSksTx4iM1szRGotWVGOFMaD1kbwaBstwGC0Z8adD/nTaVMiUDpnSaUY9pNmMNZmK r8anOmqsMLoW6EsSBl7n8B/BrV1HJjSEfzjSm5lpdoA3+/Bwr0M2C/o5O/DkswsmDC7Bq7kk/XRu umdqhwQNceMwWNcrZEu/pqtX71h6a1E489X79n/4l6Pfenl8B31CVHyrqhbczM14bfPmVddm7Pwd pW99SOUfP1XbmVOt3YjLVOSiiRb+N+DOZpC5pIsfZ5RBu8np7rg3fn8VD3X+Mm5rwdYFHCmQiqVL d6lC/fT2ZRunb4n3LWPn6Td7bvHurhyaeXPz7ravtd/tudt7f3tKOCYe9hz2vlLxStvYspPLTi87 t8yfpWaWK5UZVeFl4uOG1qp6P3HzVZFWP/E1fv4is9HlyjAaIOQ6Y0wf4QQVgWdsFDctmQuFhbl+ b+xQ7PkYH0vRh450JgbBmiOrZmV5nXsjhyLPR3j9RAxldBdFIsirefe00lZ2Z7MVl13qWwsZPWrt yKAZKWrQXBsNdDtuykBmwWFHpXR/I21M8dM0i6/VVOKjHb5B3Ov8Pvcz3BQz8vNJHZJMkuzDV6MK C+3zn+NLQaNCsGvIfL5UCyuldGPp7tK9pXypl9HEUjC50qLSyppifnAhXcjGZgWDAc+rhxW0qMew LPCc00xWkKWF+LIhzWODdnuyKnbn0fa8vryxvJN5Qp6N5UTS+cOMS4Hnz5qT8R15W9Rlpcu0Zfsw 5+IyVjRgtlQss+2+p4W26FqDlmmqm9rdfe7XgaCpyb9qDlbObWHE3K33EZqy72uu++tpPTTIHTzX wePlD4VdfMMy+IIVuota4Z7XpUHmeZqNkb9i6bLj9FoSoabhndCrshMYpmSALkH3nE0MnFES/Swa eDvAMDbRr5yB9hXiD7u9pSPy+HsMreuVswPKeXZeM6Cw/MgMzD78euRUhANuD5w/iw0XHyc8/Hrs VAwxA0z2YUIeUOWCuh46WqA+NLTXty2pbc6pDAQ9Xgoxsmxa+bSKabzUEG+PF8cK4otjCwM0MANn uW2V81Uyi9ar5CKxPkA6iuYHyKWJhSpt8rYE6KLcJQG6eEmw1o/s/hlk3rRWlba1VlZpXKMKKWem UBegF5dcEiAL8i9RSbOnEe8NsUHqKo3Pram7TCwFvwL9agZTdbDLGVB3MOWGZipWAKOVipPpNs4N O3VOugvXnnC89LEW6wWoAmBxtavdQOsNtMRAwwZqN1Anb5C0qtZC4vc1puRTR3p9vlapTvdJ8iWF dtCU8rSagqmwa7KUE8svx/6r//R7bFOXPjwgLezKB/QR0ejU1Q9dNcHUFrjwyVIYZ15ZAX68arpe iqZfc7lwFYRl1+lV+l4orVy49MS+m3teSNhwl523J66pfnF/0+zCcKQ00PeTi7o3XvngJz+4tc3s qJSXVyRqaGbr6qaKjnkrm8sn/llSWrv6+4cPlFd863f04vxvdt32oiZKRk+WSZTm9A0ezYjXZDhU GS/oGK19l/avunNJWZXXG5tlXBWeFo5ezu3Yev1DS2YNXL936axPbyzvjJXmzNw+p8LtFrAV4M0x wv8N8kAV9/0v8ETBao2RB8XkMBmYPGDy5rCwV1cmQ9n3Tx3z4DmNm9+Afa+NSQPeeGryT0B+RMQj FZW5RTSCi6QQXvU6IkVeVkdRavLfh1ksPB/rahR40pgMz0eanRUv0usrouDj8X8A3sU3798lMZg8 mFx8Mf9dzV6p61Yqq0iuI1goMM1KSQmTJnCj4KOPsLZTEoWuC1FefLkMbycxuQKSBUQMyMmfSRed FSAe0qJK3UaLuRWolFXpyDXpqhaTxNgkk845maa0L3rUlD7GWz2dRvScET06oueMYDTndH0mPPiy OKqA51PcKoenqHo629TQG6hq0roavWfYjjEKCCLQ2DDsZdfPtJJqraDSVN0Djsoes8cHq/dUC8nq seqT1XxCoh3VPdV9LEqrpqrBmx+CBh4vMmQX5YdyW7NN+SGlNRrJD8VTvE0rjlbmFjdUhCqbqJpb RfRRQrx0OBSTz5tj3GOiSRO1m/pMe02vmwQTI4WxIhLJKQ4XdRT1FPUVCYNFe4q4ZBFlx9xjRSeL hKKe6Y9Bvpi6eQKeA7zJAHgPyBeMJmEsuOmb1ulghOkjo4ysgGiQYv54QPQFqGzIkoMBimOFtPZG V3eyU0VdosD6mgSIyibN2CvI9lge72Di5Eivw8QYBNwoSKTftXJUMVWOrlQEgqYPgoCbOEDWr/bI uoyRGamcOlXWz4FyY3T+xpsaLu7zu2ymUm1iZqZWZuLDTaXTrmzNrGmZqL0omuG1h7MyS2zUKX59 fOX1zYsv056aeHYJtEA5Oblx5WLadM/lJRXtE4HLi8M5OS5T9WL+orQYwmSOOlgysMtMsrmNn+PX MZKDzSnIMMtp1ZHDGtEl54iX7WgRl5fHBf8/6/sLPKd1NIHnDR3t4PnJUYYlRtzKndqF4HlXz8Vw 8gJyvnFEx02Vid+e9sjGyHawBtkbgfU9eIlN00V8bGtPM9yVsiUXLue8gY3mRLfydlokAbLoOHMC CAQ6ngDa0M/wxqrqGBPRbcYhHm5rg3DNPA0NaY/mmz5dWqQxRcw+iWONEoiz2bKLDe9jLcDwDrct olYde6wcQxKrjj1sZGnsgedjHXtYjI49Xm9OdAp7TgCkdO8J9P3tE/UnAHw6lOmI49uTQ3ty+nL2 5OzLOZcjqjkdOZzGrBy2mZeVVehudW3aLSpNu9GY7mrFvqwKoJOrNduaH3ICiXJ9DWoo0mTxWVx7 MJQaguu5sstp2oN3YGoYXzDSWMkczV5fyW+wWKw+a45XS9Sg4zjJqKqt2OOlHV7a4+3z7sHrS+e8 onckOvKIjjys27ibAZYd7oB+1Aa2HkNLS+UMcfST1AQQI63YPEYkw7SnNXRCdrjY8SguMOooUVZf n3W2FKrNL7yr5voM+qeuVDCFEqA/v2DGjIKCuhlf9U1rmGhsLPYb5VBWIM9GM8Svs4S6goIZE5Fx dXENwD2rbhFdcXeh6rPn9AGGLgJs2wHbmfTgFyHbg4XVITvDIlGZ6tBNoY7hFlGJkX28LwJyyEAO nj/pOwE8aeCF5w2QTD3pnSOsjEX8Pki+AUbG55zf1cyuz3TqMlvyRBkj+FO0nkEDaLvy8heoe65L h88MXS3EVOr4r0XsaFxaRHWgY12DHy2nwQ0ethnpavU0uFkseMktTaxZA2hV1w4xCHt6j2fMcw73 WBk81bdUMFerrZlRQT0j1tVVHR6qeTo8PZ4+XHbdh4yyJT8kt2bT/JCUG72gZEeXZMlEaI4VbevV MFf7vxq7+uA4yvO+7+597O197N3eh273vla6O+196etOZ3FA0Ypa/sRYNBhHTIVEDC0OAoSJ8QcY NGRI6oGJ1UATHM8g2pn0Y5jWsuMaT1NPHOppyYBizzShQ2eSdBjXhY4NLuOmLSC5v+fdky3+yLTS 7N5zq7vd1d2zz/t7fs/veddo3jI4F2BjATYVmAnMBV4LXAm4A8cTqxzGCbPDt17vQ6P2SQRSkOFE fZ+IC26vzD3D2/YMcosvusJKHHxKH1y/PDzca4RySaMEbZn7W5+N3HNThn/tkn1kPfHa+NYDwAv/ hWypIblufOt2R5PjBYL54rYBvg7JaiJPeKCXtuUzhbLMfUHmviBzX5ATHFa0a9ScUQQqd8AADKcg C+Mju5tcJyFk+JszfEcZvotMmaOKMgcMZQqadDgYV3gUhOGADBif2grtpSykxQJKkO/bvgGbCMqB epDki2EsXViAM2xfQS3UvUbNqdj09XFQEeZ1my8gC1A2cAn8kGfA86gJmoMLOEebRr6vL0FhzsmA BrjNT2DA2b9akLk3ytwbZQ4g5AQnLhN8UwJULIjNBBjhDH9lhm/I8D9m+D9K3swNOhCMT8A1wyg3 B9t++3+CDKCMm5tAGXKTUEZ/cwy67ZnmXNPd42Kk4Z5pzuLZQtOz0DzfFBeabAobzjSljJwoZ1UH cJTL2cKmLrmcDW3KZ8rZvAM4BqzKSH92YC3uElJv8E+0kM+rakjpSBS8czJbINw+I8/L53CjDAIc qXIjU6jkymPQGUPpNFueKy+UJaEcLov410CJxBKD5alBB3RQfkVEx/8DdGhJXfK4irrUkWZoZXQb K5ADuccECkaPE6vvYI66V1VE45SM6j6qRl3hoFQgCdOJaVUp0IW0Gnb8RtCBAEtahxUk0sYhCLoN tvmPv7152kyE/AO3L98StRuKa2TLnif9oYHNy7fE1g0AcKQtlcWq4uU3N99z69PL+7bndA431K1s z4HHn1vOTCQyqUJh/QPs7u9vMCgcA2uMUjUTV6YqZMSeVddmGoGYx1TO0GNYAuoIhEkMETBAZF3l FwwZdpQ2uvjLXB3QS4SLiLpAcO3ikgMFbhCUPvo7vc6gN6fICw1XjPtoLBDmMTRMGwPYObQWZLpQ UA7kONEIsgqIAhdOeJFz75eJWRzVZuPszxInE5g623c2857Po/2bwjb4RhPb48+zF30H1fdS3pxd b7o4wTifY38f/4kh2jm2UV45Gw2HO2NXkT9uhfO62Hlaj7mmXDOuOdeCy+O6hOKQf9gOzKOgdJ1b I10AsWXVzQsl3J9h7K57jwWyG4/lXBsxgclpUkLQDcjojm9gvXFHhb8VDKkOeU5Mqn8Y/jC16ikG JMil8Knx5HsNy2joUhQhbleKnu6IGjMFTNpgsoQPVtILKxoMmywlYRX3d5iC7saKYooz4JMFgRSU APBO+Ck4PDuyW9zt2a/sD+3X9iZ2J3en5YnxdhOXLx2OtFJYwGReOeZ3EmcMBscElO/Ryy145Q4w bVBQtQk2jhQo1yVWjfc30IQNSF5Br0EvBf2hcP6Zh5889+y5/b9/4J0vNR++ff65+5/ZuV46+uo3 jz71+ez3X/jLZ/5nz8jwq0+/tfzL1/7u6otTGCWQVYpvwBdL7J9XeWKpwtU4nlxHxOKB3ErmWIQH 8wh/HuEhPQK+2BkDYDjRG8ZHDleTi1ESmePhHls/h0AJMCHHwhImzPghwncSgrX37dBW6zHrWUuy St5kQIIXLwIsoFV4ieriq3NDVN+BbdtReyVm52l33XjvY75nMScAdpD04Ey5a0d4oYnO8VNefofx 7xwwkMHr8LlcpXwj8GL/gAyLixPXkzqoeUzRVOtiXbVFW33O5bUrbLLCcuVs0uqKlLMd38hbljnS nbXWCoq/EomZYeZKUqt1K4x+23HI/r3JDmXSwwCtPb05zO0vRAq5XM5ks+aciSbRsLlgnkFh121O lf/0uvbFqbfvQs2TA0xwTJcnUP/hnRjt8g8HmrsQC+EyxxNJnYe9pFIKoDn2Bw9LJS8xKFB61Mlt 4k7xnCo6VLO5Ee9I0rGSeRHMvOOJfUMbBgv57XEt3tMfDd5+23J1XZeuuKHQzFkKi0tHf/rT365Z a0Zj5fuWN95hIbgVEuF8ZIzteO230g7efODaBfHn8KkB11dX+ZTV4D7VgNpF3CYynkUxnkUxNWXI VoC2W50qpUUUBWFctevkM+qAV7bUTpdWdbN9bjbtZu5iH2Os4tX3ZNkOKOqLpsGmILkUDQ1VG9RB ECH68IiHCSoSEuxEgrT4s8Xwz2BxpVZ71K93qpbsqiSyWq9brAx4nd3o2mY3e9j9lFt0FyvetVn2 QPZr6KQoan5GZ/iJDX7Fs01VG3VDDpEpWxo9WFaD2l1xqOpZ5/EsIswEjN1zdCbb2iDw2LY6Zsd2 0rFt542tjs036Ni2bdu2zY6ddNSdTM6598xd8818M1P/bayq2vvZtapWrfX89ldJdPS9BnMqpjc4 jdNmNUJTA7ma8PRl6zcd9lKf+Lrb3q4tiX5G7M0I7PmcO1XjYuaNm9IolcnGnnDUj8vdjbyGkIYh v/EeHfca1zkXZr+6G8BUDeIKpVXML4LSL0ahgyLzNt5YX6waToP4Qz2DqFd/RBzCu89LX1ZV5xwe NSaGWZ48zU6UrQN2AEdhL8rvRYEGFVAyTXJNVVFjw9t32+ucwn7ZguvP39pTkRKPAiodtCfrCc4P bJGWDvotYVQQeZWlzB4XyirjWDVXmW4hM42WDl4tH4bxXFOKSYwfOlR/CLY2XBAFb3ePg6Sr3eTh zZzwqA6fX2jmxwho3n6JYo4KW4gJx04xavYDviabM00EFWYbWdtssTzoz4Y62W4bqSxHsltLFS/Z hy/v5L5qmP9kLnkN7ANMHOlpcK9q5vNMNMkvamn77NLGGBgzhfd2+feQPahQupFclHqHJYtNqvt7 wQn50eE8qGyIwUS1HVg0t36+bLGdl07cDz6NJiqeOevXwCBhl0xk8lNlbnMgSdy4GM/CpEryQuuk 0LqnzBXbAQXWdCFLZtrl2+Tb+U0NWU6SLkpk3krWoXGzwMzPIQ/L7Y+uXV3v6VSZqSJkNx9OwR30 3l0lip9JOKYbMR3wmPqlX2gIyvLgU0dXJccWdbrjt42a59Hqvl07/Gyd76/1G15OUmfkWHoGqzLk qkAMldUG/BaaChM8qQpU4RIR/vbISs5F9I1JSUY8y8dyulsVMXTWAaZKjZXdcwYzFsM9bT2+X4iA arUfqXpVG2UEdp9dMx612zuvczB0cok2srDQAl9hTUjpgj1S9NpfQ+Prlcr2D6piWn3ELSPsGIUD UjdnmwHnqKYlHAv5bw4HunbQRBSWsaKNExJ4tGgkN99spfAtV4bapq/4ezquCFk5Xy5bFK67vdpZ t1EvLmR7XpPmLp8YP+pLjkdVrJvZSAH0xF/0fM+LauzO2spUr/R6DhSQCKa/Qul87LdcWUVtc7p9 t347qHEuzSMXX1ht+kCxd/mjKRlepBZXk1rHbjKHW71xA+2OhxEmkcY7PkVNRFpAq0sfWZFJHOg4 RGJb4NtWTGl00jCEwZlrBsROmU12ebHhzXgfimC4FGcocCNuEmHpX7lV4+DbBw/WAOnFFAkFjFgs IHg6L2H8uI6siyrlmNuz4WKKvlRg5lQw3uQrcry/XYpCLySfboiaToypZBI4mlRgS5e6fz6+Ke4U 4O909jXal8XBWBqEkwAz93clC0PHgW2kXCukRjJHkkA6F4z4oHaU/vj2NG2+KgQen1/VN9ZrciOY MAq9L0VLQ7EvtRWLU2VEw7Yx9LZhTvtYIDiAbjEvRTWdR/ebuZjNkynZU+ImxyjlIj0c0NbC2ACi BEdp6tS2GbKqmThlNE/dGM0oOiM6I/FBcRYuX2QgYRqGR+++LKxkBKain/sc5EsHcD8Fk1ThExH+ HgAwxKq1MAzwAAS3x4Wj8qcZhdlSS3oxZqWaEar9xJNtuuzoLJ5T0PIFRye7GV7MgyLhTaQmfaFs TLVoWH+46ohSPrZFpRXsaH6aSBIk8MwvKbh4vb0TrNZ5rbjdGC+qubCQvUIhOpO92JyV42zAjNOi 29NXErudqPjNCLjNJApIYIH7ySkTPJkLaWXMwiqzcfs78EtR3ArbMzwivVzNgjoBOhQoTffRVyq6 JrCx0Fk5i9B4sZgdBAr+NG0YI6jBjJ7iYD11CAtg7qIQpxZ8EQsbyvxS9wnK70ISbTEQ2yceMTcp dQeVOpNSxYte/Sy91zTZ6GEMafX1ylhLkAhlyoEtrby9lVmTto1DAStPiyBL14NGwT19uIE9qrFd /XLLk3o3GDJpJ2KyK5FocF9/dXNqdhxghxOQKBWjlsSUM00svMVy7rnBsA3qj0hbxhRiG2LxRmyB TgD8fZZOgxgto47NYEbSSvq7EdQCXuT67u8IMQSPB9QQjJ79JzcngCJMA9xBdAqrTXaWMcNwmbcc Z29LJAAL3BGLdhMQv7lgw0u92fAmJ/FV9H2sKW20Ik5/QCF8GjpJIVEA0XoF10eALUTFkj1ePaoR JbqwH7c0LXyCKhzFORWCHH4MCWSMs/iHVMw+csAUci7nyq1mrlQ0BTetGhEp7GxER2DrE0cZbWT/ VwvvCppL/99U5iHJgmced6dz9DEr8yL4q6PPDo9xU1VeRSkpvgIzIYL209sC7/t0vHzKCnX783Fr dexuYdu8oYOktxqlvwxCGFeGbCu8uYHDzRHkF02pSXN8zNGk4Sr8uHuU7OyZGG3hZeA7glrHZl9+ MmMMWpann1H8RnqiR2Mw8eF0Oqys+WpihOrol7UEOUXmfvd2imNFB/Q4hsI/pHRABvV1wNK//RF+ f+wRyDLbgzLMN1ISstj0gfVgrQEBPpaJJn7mgQ5Vt+Kj+gVR7aOUThzaCx258qX9zSPm5L6NfbNz 60bNWLylJhczd789HBDRsuh5SbIjMi7/5ynyS1moldeRz7iAT8xt0+L2utBR7nvETcR1x7BbuSDG NPJ7BdX1/diSVZWykgP+PN2Pszob1dKlhsBi0c+0V5sz4JyBkpG7UJU2/fMhjgB3Z5HRs25EZNv6 5y+TYyeBclA3WMIfTMIw5taPRzq4LrXg91Jx28QukoAe5WrqfYxyOSLaeCfD1ZYlztMEb+jdZRJe FR8N9jSraTIVHjYtY5+mvXTNBfwgvzmpSeT0ZEpX2zb/tsDkatLAfMfL6TnolXwxyARHQzNoJ5VX UhjPOTpqiGaQ9ni2U1JT3p66sSX8ZPuksj5M0a80YWNel9+WUvrcNGIGydkU0JHJ3VmWadb4BLLy IljmSRLzTvJPjlWEuRxI8I7WvnOmx+6z0UakOPboh2AAcQppnxFrVw74+bN6tCPdj6q/VmDISOV0 /+5PL3DbchpR9DOvKDRZwRZP3lHkfXSQEPFsszCtnDvieWvUnff2Zetti8/K25sh8nlHXl7+GhXs ufHc+Rykay+AAqUlIyg7WzsbA31axyQsWLDU4SZwt4vuJtB67EbodfguMdLdeGQn9GwQHKem+n/Q pf+Cl/9xlv+jSxMzqrgYOXs4mBIzqjq5mP6rQRjw3fRfgrvQX4fEf0Xa6aWcATaWxnKqcP/Faif+ BNH/ltlV/2O1s/6r5r+x2lk/lfN/We1wOv/TSf9UHf9XH/2vc/xz7//20VnYWP/fJLRebJ/dADGK 6LX3EOGCCASlmgJMmTTGWGih2pavP6I1fBlU8G2f305IYdniAIFZCideMtGGyrke1Ht24CnTwEmn XGswO24wKNWxFlkfT8J19fTkpsQw7FUzxcHmK7O/MoK/H0r9YWPf1RIQNGf8gl5Ldlqh9o3H1eVz 0xXfg0iBIEPtoKG4fQafzl+sYDUn3U2Nbh4b6I9P+99/wCyGhf1UH4P4IXOBWLytMJqIop01k57X 8qEeis8U+ZRSP1cuGYa9KCsllUwejDFEOBof7F5MX/THiaKVYFdptZJGacWz6DVKecbDm4AFqAlW 7gvSDXSN+N/j/ndE/pm7/8T9/6KK//fh/pzwv3BxuE9N/O/A/6WLE+vQs33q3H/r4sx/4ffMTCys /0UXp//sL/Td2NTOmZiL+1MH/+vifxXoWZg54BhFAA6SppbmFs7EHByf6LeKs6mt+me8GTX/XcvG +lkQcjX/e5kQszF99pEDuP+rxMzK9tn411r91MFNWeBY2P5ebZ8s+D+8+F8V/wz/H16ci4mJjZjx 3wuJnZP5/wMXz+KGdVddavvwm86imAgmYR2TZZG6ytqcJDepj02zGfxGOQHBlg8RmCWUDAEDAYEI hqUou/gVRbVS/Szaukh0agrCAYy6rMiFdmblVbXRN4JeuUpsLuIOwmnH73oQsudp/drradLv/fv7 Ed3HywyPdbX+BqzULDwBJYP22hzia8qaOLX5HLt1obuAB6L/aQDFlozG8L0rrX+d92nEo8z+y6Q+ yF509XT00C1fJoXumliwO+EE7LFLlW4DQ/aMDamNnuNSPrMvZRJyOC3vctQS8rWyfnu9sam5rn7h a27n29k0swAQNF7XcbsnLM4dTBV0wRRHMw+DgWweVvz1wdIbvbd4yWCnx1D3kuY7UItKkHI4ewHN 3q51wWnZ4Wp5UO9nuKp4IEMNs+TMISGiUkLoDF53WlwrfKY2t+Bz8KuJxUFoGtga8d0AxnuvQYi2 dA+PySRWnkAakX84hFBgKCwGWBBP/xNyiPC7YWRtjejIXCDsOyAr7vTxaXnj2XdViOnbDV4AyLc6 yd5nXw6QF+L4Gwe2rSLroXxEROPw8TN3o9La1Q9fH9KYPnOIyJFnJozBJiCc9G+q8xHUAM/RHEjy XRP0OMEZ5EAFbB6cKdoH5Puu30CLKK7q7b7Q3vECYtRJ4hNKLmnDwmXEvjeIHNRSCLDCu6y5HhvU nGPeG7jOGOku6CsWYyatC1RPhMrQR4dmQ8E0hCVUZ1HW5Gfjs1FF859oVm6M1cswM7c5eSLWsTz9 UPmmAYaRiuHRwFF5bdfRDKIROwUCcyme6HHH08jeAehRebg+JY7aUOg2LzC1hyHFKLf6D5AeJXhF YyC/0SwrZyx6ge+0nixYDpKHNJjruBV4w4WHL/haqUKMCpt22U75rTbjE5X1c7y6XzWwRP6pBCWa AxoNFhK9U+VPWfZwLQPGIzRblgWAWA29Kv1CYUsBUh7o/2rKNMXKvfugqnvV4tl55FtQwhQr+ziy OGeYXcIVq6uCd7Nzvna0duyxRobDlzT4qPHGakW5qLriUDIiBHnFcKPqFQz+G4refwRB6DNBbRGP sRpdK56L+VvXq7fkYsfWBI2/pLCl0RLYgn84PRMSjtaVCnnOjSqN2m87plsa5pUc2jczK73PT2yY E2oNVmkFNon8+fdfNtGMuzMkxhaEGw1P+zJ/fO2VcgWU/iQ+9ZKfrVr2C/T7USWl+4umi7hM+dY7 zShaRuVczIoMlJmPyTzedYEKHei7K7UBx2J5nKAzE+EpzaGdutD/vOva56afCX6RfVA+gtVP2dh5 4lML6ZSA3y2KTgpTy69b1DQ/5F0F4R3VN+5HEuhFvltpdcCUsj3QPSzqjDYYx3YYaH3Fcw0EuoMO 8cJsU+0qSjt+6VPztPP3htlTjigT1SaWpqleUHFJxx7gihADK56ge46L5FCJlfBIzMrNVcy9C0xT g0FnDkNARYsNwCVA0tZQHskIepS60KYU4dZ0qCfUOK2jTdWyW1O3e9FqK6rYRKNpaUzSKU7SiRin hzxK9qStAIGlmywacleP8asYYX1opU6l0ZKXTj6mmGAkn/Acq9etd5ZMhowvkqpf1HGAUw+CpDy/ FeWfXjbia/HafHCMdUCZ6XOuvRFiccJz4aA/o8c2niR8XEZlkfj+68cj7iQMtxl5dUBuzjecAQJR oQKyRMtz0GxQXEay37KLOtTDN6dcZyvjlQoDWbtLjbewo0LIeyN5BjOCcKY8viYIgjhJGrG/wPHK FXrfhJa/5sGBeVKsiHZRDOqj0ndoVxLFaChmaW/pxZb8CBnVYrttZ2bnTr+PdQfZihWZwkB19frE RyV30DF7YAcncTA/eBmHXwv2JbZxlK9E9rewMWOSlBhSyd+bLlKfU+rp93M6mYFeQx8PhFjIXkZg sAIyaOTPkRqMh2UEpPG/RUzvhww8idCuI1K2Ukrgt0SHL5DXB/HLZKyPjI04MRs0u7UziRitsitb DH85du1qLRJ+/Zj3l+8crMC0QS9JpsfM6PpjZLwGcIzgM6hEDe/WyEx0k62Mf6RMHG33BCC5RGuz CF1h30+8Dq2pQd88GfYLgBnUDi4aa5tqm2kbWTFDyi0VS6vU0awccqxNlZlVcA9l2sizZUyJNxia mTFtGJ/N5SpsMF2Kr/ejRjYakMB4rktvsJx5sYIxsbG2wmDg2wPoG/ASvxrITBZOq5b70Ev3R04M BIW1SNSK4WpB0MNTHFVoOSGg6xxTQ7WBJi1iWVhaO8TX9nOMoKz3M6uyR2XoSVsZpzazImx7Z8gM xGXY/xAl/pPOY653lnibkJ7xnlKqR9XM+dL9kblD9ZjIqrO2zUJbeTEeTe1Ln2cmoZ1Y1lDYtgdo jtPDt8IzW7GkRiMcNmtmZlMpMP6ucsjL7FR6LhmZmR5LuQzOnY7j4RbDwGHAGFU8Ii43WUAiZ0MV 1p4axsvO7MQqZ1drgMCOGIERFzmL+Kddtmf2S8rtCcuIH7Fxbb+j3s/WvnKN41mxu7vSVJYI0r2+ TT40nMmJpbWqnYYjLi/jzC4lc4MXfl4U8+uIBjfUN4nhNz9zXvz3LCuLtUoomzRUQjYRkcK4yfw9 Z+snjC3k4eu0zfP1UK3ftpJ3YomibUJS8fi51dOnDctGp3zG9Ubk6eHfvmfAb06f671BECdY74+J NkfWRZz/OGfHamsYlia5a2VOvn+F31Qdm2ZOTho9KEO7O4jXOkzRCE7sdxV2UoHIzDOVe8AXqWiy v1xvqtCoyXO/1J6/mbZSomyZhkX27CKhKOii2YfnTmGvesFW98cqik08Y6NIoCmEkLJ8tMqpPr6v iqIqtaF/ObCXyyxW2wMnoonykcQptQ2OtcFT2cEfH5vn3OXv9l84h0eooHpBDCoDlRMIrGj6FSeQ hMUoIqOEV+r0dQ0auAGKgB0kGTukEYD+7Y//LhmiOKPyDJ6FHOGl8kd/yey02xPOIPIK4SpsizGa TTA+CYSvO4F+AG0uvjbAX36F6pY+Vdp4PyCnHwKmn1tyBMli+Ov4FhLSI+a+brXvZPRC+XfGTRCD Xm13dKy+69NWTyIoYuTyPWQmLT04jgHU0mCdXbvHGUO08T1Yrvzuiuh+NneMaEP66f0uIM0N+irI Sl/VSa9w5fB5r4ytJvRMH0wD5UWAyTouYwAHzIDyqpwXPDj4pD+odxCnshxgNQKTK19AbKM2lO1H HiFtmsIWNLeiJP4bpCI05wDjLqE7vIwDCyM6sE/I58wfINvnPDkUdAZOrJyK9L2sqKXfdRWypr+C 2gif9ugSaBDjC0HjgNnkQGYTwrn7XXYwZ5cH60AhZrlsYonkEcVSQ4lfrvGumqzMQPk6O7iLCayH JIOgzyYzoGdQIYQd6qMNX/yDy1NVTkMw1HFxeW0WUkMY2Sbv1gNG399tFydTHHSKi9DAEH2Nl0/M fXRXUWhLFJxqrqsiu7IJiaPPDG6g8JY3sRYEvBVqx4TGhkCnr9r8zwWRN3wWxfvX33K2qm7lPRQZ frKctGmB2GbzpXaFShvixk8YfOBexFCMfTt75N5SybrROo4oT7srk9PZZvYw5ogSCFRL0EsNzh1T ZPDYfaJwoPW7qq2x604UmxJkjywEQLc9/GcoPS7YmhG51dCWg63WLzsjNav0zpLeMfbHPT/h/KS+ 9THScdqwE7A3p/OIt8RslzQrXtuounK/TGHUA6he9q3uwqFHo5XcsZCUN7qBrCbY+I8cyIy9aa1I NQP4DvgCkfYNljbcHREu3w/XdH++eDcQw/3pJwpxQ8BH0JHoKkBtEt0hQR/DZ8h1DaWh86dQnYCC 0xlDAnfwFz8Xu1uPGctQ6MMtj5rjogLgtTMTiWCYLZSGOgq4GmLbDY7UEu30KaQlcWsxbAz79hEa +xn5HVQ86/32FRg0OC4ItJJkeaZpxCFd3PEdwB5eG6YvhloQXkj4KZhJy/c03/YkniCxIH4vYR71 buPcg6deo+RXLpAvUCZQhVRK9qp6dNjh/FRUl3KirC3MWgLJAHxZfKc1xHwxIdoEFSy5IX8EwLgO fD7zgv05u/zuOf2Oz2Hiv9C7FEp26R7HwlmS43pU93R1w2Rq8TlP9sQ7oa+H3pT6grgCa3bPn7EI +wowuvtrbtlkTDnUx8s10TPGGUxZ10iXx9pP6z2QO3L+RPBP/KrbmaPuGds2IqpXyhYjQ91feOYT yKGrz66Wj7kxf/G75XxGfQcVlGtGtYjcDKRzD8YDlDkkOCwqfnPVttG0WxXagzT+3L1+KxMYWYMn yIIrB1lsWYxbbJCWT5lkNg6yKdXwAE3ksSmf2ctQou70m34jym0PgFX0FI4RuQuFVKlJTUqUgzSy hnXVR+P9pd2CcAcKm0WeQxaAXF92uLXOmWDm6P+7duqmPRaoMB9+hsWzMO2/YrFlSZI2VYvMd4aK gyyoUePPf5KLu1S2LfM9D1vHIfjnrHJzxB89romqwzyim5Yx++iFTcaRy2ENAMN9XIsc8Eus/FOr N17RI3UdWir4090U27zdqL8wICRg2eF3IANHx6prc8ilukEx67agxVYGmWyR8Y6S9hP8KcofWD4R W6+QrunmXcK+sJjdokUgnadVqkJ35ghhsHw3FuTyxDsNQUDLGjlHKPYetjDuMVPQ8Cll2C6VBbDE gZc3yq4V36vsiWif6kJEE/xDNCnrYEMTuzuY0YjnHgCeA1NwAa4rWTUWpICIxGOjPsfHEm/wxbzj Ga2dvNPOPaCHVvbYS6j3uC4i6wjNuv+0U5sflPDA0g7XR8Q2mLK43A1O6liA7LwysGVJpFPzBIWB p+F40noywO0uCVj7OnQiPiBnA0fH7G2TjnCuRVaFUjOnzwYS8ow7Qd7xQ7SMRIY7mHc6E1AVOyW/ T6MZumHheqiksG5xhONf5Hx1E38Z2Si8A74z++UYMnV6ZZ6nARsprsVAwrojij7fpxjefB60HeJU X2xP4A44E/KZcORp+TunYKsxR5kbSCUedEPUeKUn/v12pjXJbIuNQwpmgG5dxj5Y9x3rQ/cEiWPS Dn5ZLk3XS2iq8Kw84s6/x8bIUsoxrsZBWKh7JYHquJ2CmYp3Iiltz7mwZM227KDqQJluTCoc1ixh jtihnQIz5PCnq9RtM22gRjZHlebExBfRk2fQvM/tzBa9uyNJLT2/DPIosEjGy/iS40bKQPUkiFao wjcNiSlLJicOyNVjDHBXAaR3lsklyI+Cs7OrS65nF7CkO7YKiUMy9eTiAy+VJS27iysYF7dVdYOD pMKjnIzNjRxRESgplVjClSNErghFRzAW0SdRy3ELedtD2ktNxuWcxROkkiL2shVHjEzFrbkWD506 yIbE4DgY4rG/5n7B8GmHYTtboh4WHyrUIKNXKeWsVcOjwzvtYDcLCbnsPhy6249uA4S4KeKSmHbG nNkqE+BHc/fMKO85a289iFT/eJqjkZ8PfnvlkBofqNojOmnf1IaNg0kSap9c2NxekVXbkSYLmVa2 ylz2rqK9lXcZJ4ma79ZVRjuEaquw9+CNkjDLAWNd6ShIS+sDPFKbAAu7m2sv1M90nQoLaKxnkXxY V5BNIYoi77mHxIKWbx2tkYoj8WXIdXxTT8hlRjw8pbFXlOlZe1iprOjjGQsPqkjp40spAGk8nz8G spZmW0rTK+UNIKRktGQHamWlLGyuG5YtnFkovkLFqCW/yoMidnjvEx2r8AxTi8c8YljITnF33zOG uM4zG6h4CxTVKt7Dq5Ahkjc5RmTXUDO0Uw4LJHVUoZGwEE3CJGgXFifaXLlaF7SzYwWHJCp56gzc dkLA6ynBJM/7BDZZZ8bZc1s2sMtft2ReL26YOu1sOYuCSKpMbl/7HlSeNitqRAWefgRu4R63TMbr nNQTh7yuj+g2FV126mbW4CZeiHfWJRpZI3zHXtDNUJ4ccmHw2N/k3glXpMyshCF8xXVR0CdgTRvD dIGTnopo8tHmiyZv3zJGP9qhGVpMSE+O7tbAPwcqH+BbW3SujUMeH81Y6zsR2VsWuACbGqdOz2X4 YlZkaTUNDBro2J+anlwGF7dD6k2S3oCnxKUPLqEWl+ExFrJbLUtFbDt4edXOAMQX+iCgEC5nCxKU 430l9x7A8yyWoyWkAEHL2EvEhCnGfQ8AS1yqkia+FJYeVmiaCzk2VzBZOdEBDALp4tGYhfX0ReV3 OmlsRZlDwRrSzDRbOoLq8hQTWn/HHgrmonq2hQWbm3TUttdtN5RdlyWoGF6T4IX7QtrIMSJoW2Zh Ax+Dq/0EZssSp4FDBcC6rDRslfWJs+t6SRTdogn4RUn25xzMWWAXY7+GP7EI/Tt3cq1lolGqWLoW FHE37JkrK58t29BqfC4iQr8lUjjlHpswcM2CS+5DbVdMBDamW2blscZqZknf6E+962ubdmlB4yOd mCn61sHWAT8GIBnEnELAicMil7WOPHI2B46xnAgny/k40x8+yFqOQ8IqoIulaXgDIW+xzFLPht9r M23RrGO4bWPMXlhWWm5afnx6Ymw6e5dmNDt2FK0evWFeb03rISzRWKFhI25t4SRJvblo3RamWVVB P1sW38jTcz24sHBQ1HBNy6yDnmRLXTPWSkamxaiMfrgE4vKXoZp6Fv/JTCn8esdl16/QS7CuXGxk it6uh9UWntTEathCa7DTB2jJRQ4pERH0iAmXzKzP7EpxMzG916JT/tONeeh5xNMVbMpVglMkHU8A KSaLexhhZWVTk/Nlsy+3QofPwtKfQeYdjcThOePB+uXXSjIyEx56izU5GoruxKhlkYxJiulrdKh8 rj5PsCqyDw0+i8VNI05pWJqj3R+JcsEeXPaE+VX1+Zu0xz812uT0eWDx5Zz9j8VZYgcOq8sXwT27 XtQqIYnerNVfFk1k0K7k7ZxSeMifTuzvxKn8rr5mZHB5ao0jrEB4uRJq35HdJyBg53hkmDNUPmDk jwQdzG8WWc/wfa3k5V0kvPmZwUeYnJmu58xPVEr/k3AK/n4p5nnBG151v9kQjCeBChOdfB5e/AY0 wyeCf4VjTDcdieHnV0xtOVZ0s5+N0ue36/v03D3jfp2GRBvHcuk/vsMjkeYkMFGZRw+m4KZQ0M1o 5dQKHGvX3Nb3L0dg6gugz2ZnKAHIvpmEPPQCGjSAEccYqrKVmUjU2CQY17FKDOgQTGnxCWIpJm5t 5K9EhfNUWJgbPyywf1HwJOiqQcZXtI5aXTcM1TpSrx3mkcnqs619jsbQLoR2+CpavVPXG+S+V+L4 gzSfhxJzKI2nvGx2VhHg0RZ9xPdFosHZaTY5TutdCxXLVLWNQAxJQy3/A2tLxlsgXdJYfj/Dd3+1 jtGHqpsP8OdssMVOGNmkKQOBQqDhJyHNIWFwn5Td930rghweWJjKEvnn6X2a84mMShp85DRLyvmC uU6Pe20Mwa7/wd55QEWxbI16FBFBkoKCBBnhkJUcVQRBEZAkOYmigOSck4gEJYMEA0ERJAhKNqMS BAOKIggiKggoylHAQBD1VWHPOTin1Xr3zn//9da7tdhTPd21++tde3d1964ZRt3Y6ew2AzffBS8d 71Zo+W/JsVgx2h4pOay7ZPTQFoUWnQEr982BHYffH44/+uLwgHvVqZD1Pu+/sr2cflMln2/Oktps +vDge/uOtIBYr0f5ex5XjosHKRiITJ97lz5wZ4DrbIr7iuxIxoITeX5jrwbZLAxdMupvu8jr3RL/ pGsV51/L+lg6q+msktSl97R+H0W2XLSUcPIXjnxY0XFbo9Cx6FFdcV2tneg60x0PptqPmJaNnPe6 Udq/+JFPqVmtQxCn8AzTiq98Lv9M1kvOnej4O1mPMkmj+Y9JGlV3F9ufT9TIzibKxedM1Mh9X/Oz iRow3fL3RA348dsffsAW6v6YZQdTQSDH/rvf7NyeLOkOJmii/MOaEm4y75O2VdUwLtFY+XiT7zSV RNaa/EkVdqavE9T9pwxiOAPehY4qhLk9s/SinVwT1G4TcT0lQeEzP0fkyi1bShUjfAVcC0uOaNLc kH5S5l1fXHB9fxqYn7Gz1fWM6j32UeltnF/C8pMnl/g9e3lGpHdpPZVg/oIIYerlMSG9MYy5QarP lylVy30WK4vR/sL/1lmlJUHq/nrRFe6ejI93PpThPaQqFHhBKNr2mzlnG5PleJeQufoBls6Zs4Zt 402m/FWNh3seKj3MKwjnCykTmdRfWfqeau8fHlv/6WAp2O2kjvrbwb+Yjfm1X0EP483IyIJfZP0+ IyMDfo0V/N6rFIVnZBTnzshIks3IgF+DnTMjIz8bVnNmZOAKUheQZmTkpebOyEhKy/0+dK4oBlsZ Pbov/fJJ6KiZWXLz/Ppeu3np1JuWZzTzrk7aTOsWETGcl0d8zrdsVazc0Zgkdn4HC9ccgbI/JAVq BXIzO14t3Xaw9bbJrnjXVIGKo41hOj2TGidrd+z+5Pd2+67+ic9hX+qu1gUrSnvbD925c0R64ol3 Zo6d6Foifef8mCe1dzvd9M8uoBasLRuRpPlsY0nwucTmIz5C/6l5gMrhPZuYeQ2xSy9gQXhvXdHJ GqWumDeR3HEHlozwDas9zrubcyniS+TmyI9bLz5WH6S15anOLvNPmI5JKna3fvy4e8lDvekIj20T lYnbFIPmqb6PqNxLlWJLT1ckzEbFpx3ZMy9y++pNg0Je3NfuR/ufvRu3+kqJXtvpkez+Nm+6saev c6NDe7+1ZpTPD+UfFFzAGjrIW1q14Alrw7EdE9+qBEoJ2rHZ77aX8nJxTDn6caVuHCgcDsvMjTDI 05uqvtlP/Car/FaU+QRvBs9+KycxJz3DQ0WOO9fwRIc5BRdn5wu0NIQE5PZkvxxnqR0s6pIPU316 nHeU336Ae6hhZA07Da9k4mR/qtFNmx12g0J9QnRLP0tVvb9rEjne4HGQ40XM1BJ2Hq4a9xDdp3bK yuNSbh1uHRUbA9cE35a/+Xa86tynhJqXK0RTW9QW17g5cfHSvi24ocIboFswtCTEokBg6epCP87g 2zXHDOvPO+e3HHk5zhyg+0ScMe7dgZebda50iX06wLlpI/PuRhnJHaXLZV82ifL28K1cupdv/BAf T0J5K59ewgi34lre+Pj4gA3j5a05hevFAxmDFyQVeiSUqzd0lstmbfZaf/Pe+FaroXq9AOVnt5O8 +uQ2JPmPyVq92hPcvc0vlXbjdU2xBdTKfREtguNeYZxsnUb5o9TV57eLZBXW9xiZnak/KMJqzF6s ah6VydrCNrk6KmWZ4wi9+eEt5bmPzZ24oA2dBZ+mi4XuGuxOu/6CaCBaKJd09NrdttCst+eEnCUX HWCOoP/AzKNXs4y7wN94U0XCeapb18MPGbMXqnRST7DEmxI/cV1+NtrxJTp9glOEvpTwQGOnwSpT Ym2JR7zohtbRkKN992UapmXUTI/a+B09IdCafPQUfUkUKwfrCZUQ46h1xgGZoopNHmuaRu1i+9pZ G46wNvQIRy8Tjn7LqrYl1kY9to85bp8qx/tq0dK2Ud8Tqy61JVs5jFZ1fUnpSGH2OtCkKrtC7GNg 6mZl0bHATapRG/ROKTSOX2tIrkx5wcKzXFTVbPmBw7qhnH09tHtKQqg4k8TMNocuWWccRtdFbWdV eS8sp5R/amRZZH9Ihsv9pKvjgQaLuD8GrhTwaXy5YknMqH4by8oPBxc30VGtJMYxpbLxKLBuVSAw hqSWD3hz5W0LDk1UYmWui8wuT+4SX2qtPhmYyx/XeCkkY77qvanVuqr3pld732yS1j+uvfCdCRdT n8hoUYapyDyjxn66pfefeCgGWqueD364m80m6lvD8yyPint1up5XCKtFrjJkieT0v88XSTFNOdN/ g9avNsaDtqsjrOJejt51hZAMrnE3mrjXSvdePlHbnpJ1hm8wcmdsf2iGcD7noCj7qvyJQJMlD6Yb lSJlNjRLqXokG5150B5kx7w9yCdhiXh3VWOc7UyE3dGAxCGfzhdbPhzkOeQ1fbt/S/+ByRMlQSoz V15sHFOK43GfOHjVu8Qh0qfYv95b4+CysASxZ4xjk8crszaM6VzK5Yo82DyiO2YcnBIQGX3qc6Pa XbWgzYE8fqnji8N8uK1431bHH7i3fHJM0zR/kl7HdV1B2Nbr4AP1M/NXMj8yj22UvTVK1d/7ybFf ZPP78IDCPVnn0+Zv5Ki+5h3XZR+o71Jxj3mPIpNwHKP1eLn2zLyok82ZTUdkmnsinp5S9DvgS23b Ldi59os2rVeJ9yYfS6kmkcrMt7EsokrSjXS3om9/PW42YsY7ZObVtJrjT0v+x0LcWvovijWahVMm G49EqY3QHG+YKHL1Gnz19XhPWc+JS9tNT91+NPha4JWUz/DaKjF1njL513wf+qb1r1if7VgcdIom NH7Hhpe3DJ6qSVqcjKiOmE+dLvegh7HDdOWfF+k/0rvt+9oAfoG0k7NPSFYsoc+39MwJA5Hqjinf cfriFhPB4dd7gmmY9z6J9H3gwfmwVX7rI47SMPrsDVsfmIluiz2z/+INLRbhraWZJXn332wxXzGm An4cZJA7v7dkch/4nRCr6WtqOjoaQ5lqT255GQb6mBt56nz8RrAwst8KPtp3+wN3sb6AZeUHs+37 TaftvA6lFTJ7eRlmy5y5vr55XUtQt7r/R2JP/nGBd8RTFdYT9FFJjh06+RmnS2wEKzTLTDfGPg4Z MXpYNDR02sm4hONP3mMaCbU0qvk3hiKKipbsPZOnfprroXfR0HHbh1lfPT2Kghi/vCjJCd94TkzI 05QpjZnoLPyyrWCtb0GWYXa0qBaVrmBxF61MIE1edr7E83iTpkN1LJYR/dPHz1svY9srKLYo9tj+ fvulz7Lqv5213jL4rftQsKcaf2dHMM0H/W6jzY76HlkVl7TL8oteCionf6ATGHumdrhMk67GRMum U0tIXL47vkChQldKRmRQYOvm6sY+eQfX8/n8xtyyBSuzl7eHap5dFH7JWLSvUS4+tlK0UpR1iZJs 7P5Fu7YkxmpPKK4ZCJ4oatEYERp39RI/c0qZek3h6eahM2+HzSWD9kUEF10NudDqaqGdSjSSdZEj +NdYruismu9SOyha1KvxMHZQrj/FeLPO+91O7Sr5chnK8zUJ44IP7xp+Xu8RF7L9vVr5wrfJ98Yk fTj0dbu0FlsPjy47arPyTuRVlZUfrmnmvd4pntFe/FHk9SqqTtX1cg9qmWnCFBg+eqwoHV+iQLU3 Zv7UPeYmRpU1M/Odh22zqXS7NHaX+lQLRS89v2wD37pDkmkuvQenw+nbdyrN0D+NZCJmDGSHXByi WrspMSYsIXf1OZYJtayEiZbmAaYB0fLtGcOsWQxXmyu6+B4mX7FTyVGzjuaNrWAJSxQ46ix8Z19T OYdfA+dhkW8M9OVLNuyWa6VviRIuZzizSIgrc+LW2VtX96+ObaO1k5mOKef228cTcyTK9Kbl8YiA 9881A1Ym7hQKu2M4aRK4Kr/hD4foAg9CdB+3gk5qENcupRG3Txtab84zdFT3Pr5Y7lrDqFBCL4N4 xAIam0XR21Roludx8vTR1JmzCRV6h81v7aatEk462yA4yhTf4Hk4akohqvJRvNpMRNvJm+1pN4nK ulvOaVQ+oe1Nq6Cxkb5MOFsvyyE9z/T27QFr37EHjgI6+d6Cg3bcvWrVInuvsccXCO2NflfxecFG dtFnDPYWCRyxD6mqdi7h5sq4f/Qp07o+VwXq3Hrqh/cvKVHdHmNc3/xyPHuGOkz1/b4hr+dUU2JT ygN6A8rbBhzTThx5zr/jjfDVK+XpQ4GLEq87p2UuNlr8jXhWoPJQlPfYypD5uU0sk2JfD3WbCXLn 6FVWPbl7buxepFK976rjwx0zmsEyHlp1UUP7fNqWEXPWpxlEnmsvZatPEjq0dHDYdHThZeq90Vfr jceZY/vSKuZfjBN+bPHh+YuBYZ3LLQJVQUP8ettHltQmUekNHLmcrnwjd8lIxFYz/hChELGQsgvg A6lVWx5xONC6FHIlpQjeMhxY/IFa7uBrXw7jTUxPqCfaLDbMTzo0QVWdyHMtJu3E+9Etsc95rfKW TQo6CccKXdzddtCuuk6Lq6qC+5IHlVtDqMKBwlGWGT7rXRyn7IrvXM8qjTcuX16bqqQ5ca/beYSX p6HZk3PH3XOjppOSX88wC68/frCg4177QycL2SSnc87+b24Mn3o91G450yh/5NnMqp0MRjTLF65c fFmo8Oayca4Lxk9XvUtjelA1fnHGeSo+xLyMVjd9d75iQkFhm7qeyoqyEO474Rd8xAsKB9wspmiO J+XE5dazpA1ekbnHYkQr2Ld9kiWEdu/JFbyvJelPFgvcuJ99stMzZa0lW+sHxpEbK62i3jjWXZlk /sqaW1/YEcw07bkoxnFQuTFpjCtnd0v86mj+KtrVmW9FTBqWV3W4UAWn/Wn7ufv0CLvxjRWfaD9H bB9St67vvZzp/lL8fvOg+9S7yT0z4jOiq/a/LagX7suyjz+lW2VQZeit7639nqnMcJ3lm0dhZ9pf L/V1vBjUK+5ztePmtKcHg7TDyj0dLvHz6/Zt6K9TVW5/7mTD2buufIeG6aptLrLazWzmonrPdeUy 1o3xfqq8ZCZknR+m3GHH4dzEbfTIX1W2s5KhPLS6oF26z14vueNFqUnRDesTFp4tXrKFUWZP499c i916QkWBsUo2ibaHmN26Z88o96rcmNSzrF9LytXeK+aq8XXezlxAtfdYlL7r9t0MM+Z+GVeoToyu VHIlBLKr3mu3nlnC0uX05PpXrRUgPXpLOrJ7hvdbevI8mqmQkv6enVkhS9qfS9YxP30p2iWXc106 jX0s9JWNVE9Tv5nymVM0bqv/rKW5Hx33/OrOpW9PMYX3BkQ8XTAcv48648Uxi7up5UtljW46Xg5f 07BGddnXlLJmjeXHLz+pty5Mv5JuV7k9IPVT67za8M/n2Xb3NXfd8btefK1QaBtDa3/SA8aP/r1f 1tPKLW4dpTdp7x5f0sWjcOtZ+L2pnvNZ3wSHyo36tj0+WZoWrBw6ukOdTW70y3lL723O9fLPrdn3 Gc6sLOlp8OifTntDVb7viscXedV1wdRsXpw+J/fXpqw3a2zwFPiD+uKAvNka3V07FppQf9rx7ZjV zR0XV3peSd/zIKySIedErx1HtvvLB4fqUnJS7YtOZjcxcQ4+Gg40Uw+2ZLmSUrt73pUEgfaw6qN+ ORMO5x7dT5wR/tNQLYDGaqeShOUYXbCDeNmjkYiyeWx2niIhkcdseLSX3VFdUEWrHL6mOuLNqvSr 966yXj5z60jCmfHKmwV3U/vz6iNCgp/mPzmo2G1ee4f2RbNdfqG54Rp7Sf5AF4NdEcIbxOTstX3S JKXqmVcu58h75Cg7f88iczdnnTjzWw4pkfRvHhZ3az17rBXf+U7S4g/pCie3zpQ7t86bLO3NH+Zt pf6m077soU9v26aTF1i1qqruuJ025yiuPfpFwfli5quYkjId++EIrWCjoNNanAdqzRzCu10tjFwz yptGMpxMxF57nzPas6dPxcwhvaaET2bd4oWqDQfo+bRiz/kx7QxZUbIgzj+Tvs2dfeHRvDSHMr+t tCYcWvYBFy/VbC/JfetrKmi+WqfbfKlJjfnLrce5ml1K6IyK3f5wTc837D3MtlWGs8tlZQvH255+ +fqZ5ZYBl2qu+Caa9pfZNqzZ3N3iXsN6dfry8CWxFYXSfafebT0UwMPdfifWa8czgaoPH3zeTdwQ MGddrKNju/9G5YejGXUcXleiTOh0WIQV+EPsRK5r+pr10hUOMlax7iqrFnt96WRUJ1+FXsSK06vr Gjc9Oh7CuLR3qE79bAdvuqD5MYvTzYyNKs/ijT8vtRqKPMbfbU51o2inHA0v75aDHg0TBxlv+eif Mii5qNrRej5F14i3slNLTOSknPTm/poHm2JZ27YtCHXdnOZ78Wiyuuaf1fRxBcklGRt2044lpGml yQyrn77wTqSt0lI8xFO60DftpI68NfXmItbmhOnU8o+WFpXd+Xe0C8R8jKuTWXcfeSzectdieM+e sl516VVaPA+DHc0Mb266daEpr/S1/dXFQ4ZbLNb1co4cswlLZbJiGX5414L15ui51K4jsbZ/nkvl bLAsNar7PBwwn1l0WNptZjPHixvn2dI12CfcG7k3Bm7fX+M2vfpsd+8jKYsS3wT5jxFe/CfS5FMT DB4cFhHX26XlyNKUel6kQCtL+k00ne/lvtRk3b0WNak9X9Yqpefd2uidYOtyhCNS58Ty26/2j19l GL+dmb5NZNqt65VM/tIeh+PXy/lf6oDvki5+98I3ofpe+cUb5qGhJ+RvOjnQvHlzuuKo87TFtMWX 8cdTJlX3H8u3xEzq7zh37FPO89jpQVM5QU1Zy6MOInHlka8zNg6GLwsuZDpffs4mwz857JzEhFxQ qE9bkVOxC4cG3xH/NvrnBhe0+0S0NzeV+jicLVSdkLxSkivzar7ZaS3q9BOfel7J06WzGfGuVD2W Sx2obuxOVPMdyLuXJ3eVOe18XQ2RWY9noIzBKYmno/NQY5GG9YkJpiuf0g/vz6w0NpIN2sJSZjKv wKKYzlUycVmGGi8h6gQrn4qCQ/G8K8VXBwlfrm15ts/Wd3UobWIHIbvY9/mKnQGL+DQtmzOmVPgm Jb2UY/SzVS/HJx9/5JSYmjWv2Wn6epe23KutUxbD8gXnOM6mBdUJR3nlJTyi1b5Vs8k87wGtvoJH 752Ys5dkRmUPR9nE8m6r430VoDyw+8ibsVc3WUxo7zi7tZT6j0p4m5mcOdmzKv8YXUNh5CPtw4fk m+v0vx0OC+58P73Dnjte4aXEolPsLMeSj9B+EKge3NQoGP1gz90FLTLZiXvF/uCtT8niOPQ6llZc T1e3Nf8b42DXLq80N93ENb1nOlSfOn4OnZo6XmUXfSOz+VL/uRvK3OKNV5PZM6wkNsgqNtvHB/TV 2Gp/eq9tWt2ac2TiEVfumhNExafLc62YH29ocXZ88OFzeKv6oU9WF7yeBhRMzf94cDdX9HjHXjc5 ndXia8RlrS+o3Fl8TEbRoarXOcTVcFPiwaJFvPd9/lQ18vGUZGXrWeRuEPCHfJ2cMNuxY++sFrZq ML0hRt7OfRsXL8LyZZztjAbvauFtTd3CN/pL01p2fbxdR3vhZFtf+cv7t3c011RIen66rNrPesO5 rHgF9VTUbi7qqRWdRtkZ3qe19pgtbj/yMSf4tr270M2rTdWd7MVMDFWnohpt18+4mCcMW6v5BESf dO+ln9JPlVwjTl/4/qtKQ/Kl0JLC0qINElVCIg+L9MQOsHN+8zd1s6d6ezOeNu7WM+bJtaMbLJXd Q4wur2ooTuMq8/zg8NFx+M6CZbeMnZ2tnnRXzHQm8rS+eu2y3eJZ8vbumvwrtYW+N/vl9PgYptk0 IzQtcVKtCnPyjPpe7ra+u+28iEKuNrv1DIkmdl7eju5uREkZMSkxSaKVkKqvo4stUUpaTV7SSpi4 zdfGyyeIqL9JXQ18tNwuwEeYKK7mZWfjA3Q22fjY0QltWislISUDEqtSIHMpJyVjISEhCP5AOx13 W9iE+PMmf+dCA7zs7OkkiFKKdBJ/FaKcrCz4VoQ9EVsnCSjE2a1EN9I6GWkFYB0sf6+TkIAf9f9x naSsBMi2/rhORlr2H+1mW5C3k5UCXxmZ3fIXd/bdj+ukJOTkQfZ/dsuv2snIyMngHDOw4EddWUkp OAsCy9+2ScpJK5Kvk5GR/8fxyUqB7wpA1Tm6MvLgKwdk62RlFMjXSUnKSoLvCsDyF1dKQlGR3DYp SXk5coaMrOQ/+lRGRgFksX/cn4yszD/8ISspp0jOlZWUViT3m6ykoix5v4CvLsjPaefjZQO+BOFF t349mDByDLIDcUUUN3B39yFKYrM9mm727kQpeGIYEMU1NxEtievBtx+kbGXt7GykbSXtpaTtd9tK S0nbydnaSyvIKIB+2kD3+ybf54K8fcBJMxvRsvLSMpJ0/Pyb9dTplhAIBHogi4DQAWEGQiq0YIEZ yOBSAmEKvIHt4HtSWQwWmIFMzgO6QJaDZdiGHQhQmV0GqwnLsOUFoGYAwgyEVLaCBWbsDTWo1wGB x8IJhBkIqZiDhdWkN6D+hhW4z+9lHt2fS6EQCOvBCrgPNSDweOB+BYHA44LHAwtQn635wStsA9ez YMvzQU1+HJ6gc9ZSEQjwOCSAkArpOCDDk24tVd9SKHULPemgrKVSAuvhsZCOaQNYhsfBBoAmoIZ9 Vw1q0nGAxfC14AUeE9TbAUQBCDwmWMNCqgm882b78/vaH19J+/uftEUFINmB0AIbNEANbakHNYlN A2yZGxMGYJsHaAO6kRBMcgBYhuUyPFDgBhoigdeI4EhwJdgRvAlEgi6o/UFtQHAH62wIbmBZFSy7 EGxnFX728mrRj1sA9ofCzlxFhOuYV6+ahuhFhI0LZ9uIfn9/HFP4S++ayuz2tj++b2+J6I+eF85H S9J/fmHLre8mfMeUR/rOI+wEHYDVGvzf9Z5j+m2annTzwnXWk/YvQ5i3ZlYTtIP19+0qwx6YnsQL 28WktrPtyF5I25JtvOfZ+s2Gzl9+gP0N/QRjChYjTJyBkhVY9gG1M6jhPvyshFU4LYRVcsCJ+hYo wnXaQOYWUszrg5WbgcA4JvkcqIWTliGXxAK9McsKwWFNILICwP7UEFjBGCsCh6XIiGbXbkQWZMA+ jMJh+SKyXIA+N4Jd0RgrEYd1FJHlCzg6CKwEjJWOw3qByIJnKAoLMmAfZuGw1jCh+csO6KPExjGM dRKH5YjIwrNr7jgnBI6FHgiM/1+NecngGEBBGPNm2/325f/BMU921qjfjHk7sTGQvANg90H52ZhH GnvWYr5WBXUQpkMa5+oXEwj7FqCNcyixDBlwLN2Mw2IBQYHCQh0P1DGWJg5LAZHlCI4VZezRwlj6 OKztiKw9gAXvbUjXB4afXCu2YSwjHFYuIgvVLsiA/rLEYTUisnYh2mWFsXbgsGhAZ1AyNiAD2mWH wxJFZNkRDKlQ/GWPsRxxWHsQWURw981NFhtzx1RSzMAxlXReO2BcdxzuQUQuqu88MJYfDus2IssX MU78MVYQDosRXHtR4sSH4PCP/sTrQ3ivBOMkDIcljcgiAn1y3+GxIAOyInFYRogsN4IQ0hgShbHi cFiZiCx3cKwo8R+PsZJwWN2ILB/EPoT3DLAPD+GwviKyiIgsyICsTBwWD7hXQolDL6AvAIQUD+BU wX0+OIyxcnBY2ogsO8BB8RdkQLvycVgHEFnw+QCFVYCxinFYjYgs1D6EDGjXWRzWGCLLF9GucoxV hcOSYUaLDdRrdDXGOofDMkdkoZ5f5zFWHQ4rFJGFGoeQAf3ViMO6gMiyBfrkcfi76+YqwAsFekKg jgc1qP567n9ARyCIUf/+flgf6KA8b0EGZK3BYXEuRmN5A30JIPxAwC0ZzHnhjiFiGEsGh6WHyAoE +yfvTxJ37r2HLMZah8NKQWShjiGQAftwIw6rFZHlgGgXfH6BLA0cFjPofJTYcEdkwecWyNLGYRki slyAPjcQko8YfhIbOhjLEIflj8hCtcsIY1ngsC4isvYQFiPFIWTAPtyJw/qCyEKNeRuMZYvDUgYd jxIbRER/wecWaJcDDsuGwizIgCxnHFYEhVkuGAs+s8QDJqj+GntPUpgFGdAuLxxWE4VZ3hgLPh+R 2zVEYRZkQLsCcVg04B6YknEIn8EgKxSHJUxhFmRAVjgOS4vCrH0YKxKH5UxhFmRAu2JwWAkUZh3A WPC5jzwOz1CYBRnQrkQc1j0Ks+CzJWSl4rDGKMyCDMhKx2EtBc8RlDy/IAOyDuOwpCnMOoKxsnBY xhRmQQa0KxeH5fdvsObe2//fzDOAw0CYZyASNAk+BBswu+pIgHen+AV1nmEUm0slza0+F/n13Gr5 D3OrYkYk/d/NrQph8wPXfphbVZ69tkILwNyqM6zh3CusSXOv+mRzq/qBfOBGCrb4sYC+A/siNvxu nuE45vNCHJ9nIvrcDbDUgPzufhYyYHyV4LAeI7KIQJ+bjPWvxhfYDUJ8gVYIBTW+SHPvpPgi/O/N 3bvOmvWbeayfmQ5cOFt+F1/Q19DnFTg+/4zocyWgjxJflRirBoelzkzZa0AtxrqMw3JAZEkDu1Ce 269grAYcVgkiSwqR1YixbuGw/kRkSeKw5p6jpHGCCrQjzYusArxE8F4Y1NmgBtVfzxgwv3OX+vs6 bbB+biH/XIcO2EjaP8NPnqshA7LEcVh8IDeBwoJjHorvJDCWHA7LHpGFOgcpj7HW4rCKEVmo+U2Y 34F9uBGHBfM7lOxDVYylgcOC+R0Ulh2ivyAD2qWLw9KmMAsyIMsAh3UAkYWaZ4c5JMgywWHVILJQ Y8MUY23HYT1GZLkh+ssaY8H8Dvm4wQUGAJTYQD2/YH4H9qEDDmsHIosI9LmB/G6MggzIgvkdcrvC KcyC+R3IgrkXclYehVmQAVleOKwGCrNgfgeyYO6F3K4BCrMgA7JgfoectZARLQ6JQJ8byO9iIwhj wdwLOUuQwizIgHaF47A0KMzah7Fg7oXcLicKsyAD2hWDw4qjMAsyICsWh1VKYRbM70AWzO+Q9+Fd CrMgA7JScFjvKMxKxVgw90JuFzN4jkAZ54ngWLmB/O78ggxo12EclhSFWTC/A1kw90JulyGFWZAB WTC/Q87y+TdYc+/t/5vf8Z39DD1CficRPrv8J/I70OeFOD7PQPS5G9BHef6GDMgqwWF1IbKIQJ/8 HP1X4wvs6v/n/E4yjC/CfyC/A31egePzaUSfKwF9lPiqxOKrBoe1mZmy1wDIgHZdwmHZI7IkgT5K jgDmkCCrHodVjMhCzSXBHBJk3cRhvUFkSQJ9crvmnqOk6yt5ficX6AkB7hlQg+qH/I7bwt/nd9SB DkqcQAZkieKw4Od3UFioz7qrMZYUDksFkeUGjpW8P/H6UBpjKeKwIhBZdogsyIB9uB6HVYfIIgJ9 8rEczy4ljKWOw3qOyNoIWDuBkPbP8JPc3xaMtRWHpQJyEyixgZpzgQzYhzDPQx7zrogs1M8A6mEs IxxWKiLLGxyrBEIfGmMsMxzWDUQWEXBQYgMyYB9a4rBeUphlhbF24LAWgYBCiQ1UuyAD2rULhyVC YdZujGWPw9pKYRZkQLsccVguFGY5YSxXHFYihVmQAe3ywGGdpTALMiAL5q/Ix402CrN8MJY/Dmuc wizIgHbB/BW5XSyMlD2/gjFWGA5LhsIsyIB2wfwVuV0mFGZFYKwoHJY/hVmQAe06gMM6TGHWQYwV j8O6SGEWZEC7knBYPRRmJWOsQzisGQqzIAPalYHDWslE2fMrE2MdxWEpU5gFGdCubBzWzn+DNfeZ 5b95K1/UvFXVfyJvlYP5vADH5xGIPncDMUP+vPiv+hzs6j+eSyJ9loz0WaH/xc+iVaP4XAX7bBro qx8KcOHs8/7vPitUhPn8LI7PhxB9rgRY5D4nPRNSgW2kz5uUY6wqHJYk878+Vs6NLzwu5MGx7AIO 1wCRqwj0UfIFFzHWNRxWOiJL4hcssNtf/v8hcPs4W8zBq8T3xdlXGEuwUIN3sE3oIiiuCxgIUAgE 6EOw6h//fwjyYOkH4geE1L9gMZy0PB+8WQcE6nMCYQZCqeNQAftiB0Iqo2AhEgiJTf6/g4TANvCI +tv/qfHf/yM07yKMh//pXDUYQggLgUAfLgMC44n0PzXSwHI1tk4b1HMLPDZY9MHKzUBMgJB8DmLr r9ibO76sAG0gaxUQctYIWIfCgtcvHSC/YxFBG8iC7chZcsBIFBbMaUlg+4Ax+zO7BME2yBIHQs7y QmS5A10Uu9ZgLAkcVjUiywXocgP5XR9KgjbQLhkg5HZ1U5gli7HW47C+IrLsgC75dW45WAd9B+Ob ZO/cmITjIrQR6pHbuBYMnChxYgt0yX33O646xtXF4eYjcn1xuHg2Qga00QSH9RaRhXreQQZkWeOw 5EHH/6v9iWfXdowF+5/cd+GILDugC31P2j/DT8YuyIB2wTkQctZlRBbqeOKEsWB7ctYkIgt+fo88 Jkk2gl38dc/nibH8cFjrFqD5y4vgvVAC6JP2/7M+9MdYYTgsf0SWDdBF8RdkQH9F47AuIrKgz1H6 EDIgKxGHRUWN1oe+iKwEjJWGw9JGZKH2IWRAuw7jsJIQWT6EwI0CQJ8fyK+uoUfAdsg6DmQZEDDk /3UfchmRZQd0UGIDPmtAVh4QctYkIosI/pMnN9DnB/Iru06C7ZBVAoSctQJsqAbroa3aQOaW73dX 3++vvMEGFLuKQDvIKgVCztJBZPkAXQEgv7OrDLSBrBog5KwgRJYv0EU5v2AfQdZlHFYDIssWkQUZ kNWAw2IADzMo/rIDuij+qsdYt3BYmogsN6CL0oeQAe26i8NKRWT5gHFeAOjzA6EHwvCTa+U9sA2y OoGQx8ZVRBZqzD/EWI9wWO8RWUSgyw1krl3LwXto48/uGxXBNthmIxCoN3e84p0Prq9gxe/O610E rYUovoMMyNLAYTkjsgKBLkpMQgZkbcVhnUFkEYEueX+S+pYKbDPCBDIgyxAIeR/eQ2ShnteQAVkW OCx2cFAo/rIDumqY/q/i3xy0gSwbrC2MA9IztREiaw+ByIsSGzvBviELHht5H2YisryArgSm/yu7 7EEbyHLF2s61qx2RZQeumyh96IKxvHFYTAso6y/IgHb54bC2IrKIQJc85uE+fzWGQB5sA+9VyX3n gsj1AP2JEieQAVn7cVi1iCzUOInEWPE4rHFEFmo+JA5jHcJhyVCjxckeoIvSh6kYKxOH5Y/IQu3D wxgL3quSx0YVIguOP2qY/q/Oa8iAsXEaazv3vP6EyIJjAjyP4LGSWHCfpPgXwpapQG0AxANA4DL5 /49PhnBw6fw/7Z1rbFTHGYaH+sLF3opiBC4Es3GwY0trusaAgxtDwEAgGOJiA+GWeI3XsOAL8YVb 6xba0Ci9KVVDlEhNfrRSlTZq+dGKpvlRpP7qRaqQSksF+dFWqiqRNr2oqkqbiL4vzLiHyazPGxwi aHOk13t8PDPPfvN9M/Od3Vnv5Nj/H3+tXOyPO/Az6JeZ+8e97ts5wfeVStBzH4VmQA9BUZ/Tl1zr ea0Vih7R+5I201qsxFcZGiCrHPJZZ3BNYQ2hXBqKxpc7Zxx1WJFBVgXksy7jmsJirtQEufYTefLc +ShDFsv5rDp0nsLag7oKq9qyUgHWtX1lgr/2iaw6y2oIsF4W7Rowe7KKXYstqzHAekNk9aLuPCjO X2TQX82Q768y9J/irwGst4pdyy1rdYC1RWRxXVJYayxrQ4D1nMhSY57zAfvw4QDrkshKoq7irzaU I4tj2/fXmyKL6w7HTjQ2ZuH3UohzBf/Oc84hm6Hx1iWEo7Au/c/+751/cO6/1Z/Noq/p80ch3+e1 cJIyRjehbicU9bk7p5/JoHZDZHVCPuuEyEqirh/LNxtfaEqIL5QSDjXvuY320/xTia+J7qfJoO/o c66Fvs+/Lvq82ayW8p6cZXF98ln8Th4llpOoO158heKaPNo4CPlc3jsr3MWo2wS59hN5cqAhlCGL 64fP2iyy0mZjscI6ZlnHA6xnZJZm1wnLOhlgXRBZtag73trj+hahMDYnleB8A1QG7YCw5oy9dtSH 800ozGutUPSI5uVrzMek1xVnogGy5kA+6yyuKax+lGuCnC354mQuypB1N+SzJsEghaXmQ5WWxefk s1aLLI5df9w5G6P+on9pVyrAYl6u2KX2YZ1lNQRYzMsVVtbUpxV/kUG7lgVYf5BZWmyQQVZzgHUP 8jzFrkHk5f5YC/lruWWtDLDaRJYaG6ssa12ANSKy1NhYb1nMy/2Yf0VkqeOLDPprc4DFL+FT/JVE XX98RfOmkO/aUYfcbZBv410YlAqX+b4fJ1Hu+/cD8p73EnRl7P/inGi+9ggY9HkX5Pt8vejzTajb CbmYSiCXuVmfo5n3PEe/jf4/ZinsR0dG///qu/fdlh1omuqG6PMDkO/zH4k+51rSAkV97s7RxFi+ xVyZrAHIZyUKtTklibr+XBZiHUQ5sg5BPusjIqsedZsg1z5j2Z1H7TqMMmSNQj7rcZF1n3l+ssIi g6zPBFjfk1lvtys6RkM2loC3C5oBHYCQltyQK7+BDuG1Vih6RHPltfhDC+Taz9efZShDFp+TzzqD aworZ05MnoeycazZKEMWy/qsS7imsNS8ocKyFgRYFeg8hZVFXSVOyKBd9wZYO0RWEnX9PoyLE67p 5NZDfn/yM7GKjStRtxOK890ilCFrKeSzXhNZg6hbDcWxyCCL+bPPmvoBza5h1PX703ExfMbmSfqX rBWQz6oTWUOom4Zc+4k8cxcZZK2CfFZGZCXNrkrFrhbLejDA+rTIej+ntN+JHfPd2cL//7oLbojN KSf6/93XWZ9vDvj8tOjzTbjf7ET9aCxH5yHGRCnEMUTOQYx9nt8u73ffRq/7cpjG+nyi9xEdYHBO 2Qn5cwrfV1DWgGbUbYGiPnfn9C0ZjkPWY5DPGhZZSdT1569ofIW4nahDbg/kc0+J3Hrx/c29ltUX YP1aZC1CXSVvYC5Du7hW+XbNLdR8t0RkkUHWkQBrt8iqRd1qyPkogXXOzQeYBq7lP+V45Hn0cOV5 vQwqhTAdXXt9fQoe50LToYvo31E8l+04T0PucHltES5cLBgtvFjwteLz0C+unY8WMn6j7VxFO6eK r7eTco3g0bUDhLlacKr4QsHvi0/jkeeujfttW8vxSFu6oCMQ/fMK5GzB6bi2g4Ui/y0fZzv60pyE gePZnkCJ0SnU61MThjpZlO95k/cV6HfQVPwSfd7uPOSDd+t5PAAu+4/HSegv0LTI85iM/ouO+xr8 nXEB1427rvy/f3620Uz6MeP4Vr9WsRh+eB5ifL0EMZ7cXt+/45dlGF+81gpFDzfG2nCxHdoKuXhD bB135/RzhxXHHFkPQD6rGUGqsIZRtxpy7edjkUHWOshn7RdZI6i7EYpjkUFWG+SzviuyulFXYZFB 1jbIZ70lso6ibgsUZxcZZO2AfNYKOFbxVxJ150FxLDLI2gP5rIzIajffnqzEYZdl5QKsb4msDOq2 QHF2kUG7RiDfrj+JrD7UHYLiWBwbZH0C8lm7CjV/HURdJQ7JIOtTkM/6hsjqRV0lNo6jHFlPQj7r pyIL7xumFH991rKeCrCKi7Q+TKKuYtfnLOtLAVaNyKpBhuXPh7PQXilUDtXYc4Ra7HqLeX7S5Nh9 y0m8rjGAb2brNuPtFLvT9u9gvf0V17RbvT+MvmYsPwv5sbxF9DnvJ/wxerM+R1PvyOcon/e4A31+ QfH5RO/d6Wv6nPJ9/qLo8xTqKnOK43w1wDorspIi6wWUI++bkG/Xb0VWFeoqa9vLlnU6wOop1ubl WtSthsjk/Ji4yXuTp5kQS+PmWrnYH3fguLn0XoybEvTcq9AM6CcQu93dm/Th/ChuLnmtFYoefG48 2nCR8tf96FzpYoHrY4dVGR7JLYd87hlcU7iM6TTk2mesufMoiwyyKiCfdRnXFNZRlGuCXPv5WPNR hiyW81n8vIfC2oO6CovjjCzOWz6L+8oU1j7zYoHCqrOshgCL+8oU1gDqKqzFltUYYPHzHgqrF3Xn QXH+IoN92Az5fViGez2Fpdq13LJWB1j8vIfC2ou6Sh+usawNARY/76GwjppUUmFxbmAfPhxg8fMe CiuJuoq/2lCOLM4jvr/4eQ+FFZfPu5iJziHkkbsjwOV7Awq30VRK/bnTsjIBVq/IWoa6TZCzJZFn buyyrGyA9R2RlcL9keK7HsvKBVjnRFYSdRUWGfQXx6YfJ38VWZyHlD48iHJkHYJ81uJCLTaWoq7C OmxZxwKsQyJrIeoqffhxyzoRYD0nstKoq9hFBvvwC5DfhxdFVpXpH96P+nEx/0XL+nKA9VCR5q9a UznK9TfKmoXfSyHmG+46Qm0s52Gu9TOoDLoITYKiudaHp8TnWmtM7+qNqOfaT3j5tbse5c5EeXLn QD73LK4p3H5zKNOEsq59ct15lDUXZci6G/JZ3MOvsPaayt0Kq9Ky+Dx8FvfwK6ycGczMQ31nSz67 6GvalQqwmGsprH7TnVPsqrOshgCLuZbCymIsKCwyaNeyAIt7+DVWn/Q5XjLIag6w7sHarbAGzd6s P+6c76JxyFyLrJUBVpvIypk+KTZWWda6AIt7+BW7+k1vt+Kv9ZbFXMuPee7hV1h7TUqKQzLYh5sD LO7hV1hJ0yTtsWq3rG0BFvftK6wak8r4sRE3Jz9iuY8GuNw7rnCXmAVDiu8es6xsgPV5kdVo6noU Vo9l5QKsn4uslOnIKnMjGYyT3gDrzyIrabqbFFafZQ0FWB9CnqD4q8EMS/FPBu06GmC1y6ycNDce s6zRAOtZkbXQjEj++qRlPRFgfV9kpcX56qRlPR1g/UtkVZmDUl5HBv31TIC1v0iLjVoz0PtO55AS 8F6DZkCvQ1g2b8jrfiDkdWuRX7WgnlvLEnnyqzKUIYvzms86g2sKK2eGhpWxNtuyWNZnXRJZyHkq lfmqwrIWBFjcY67YlTUDfQqLDPbhvQEW95grrKQZHlH6sMay6gMs7itXWCuR83SiflxsLLKspQEW 95UrrEHkjdUCiwz24bIAi/vKFdYw1jKlD+lTslYEWNxXrrCGzEB/GvXj+pAMslZBfsxzX7nCSpoR KW/keCfrwQCL+8oVVo3JNPn+moX2SqFyyNlbgPMOq3V4JHcT5NvIvc0Kt8H0DChjjTkkWVsCrL+J rEazW7of3GpZ2wOsJegAxa6UqVygxCQZtGtXgLVVZCHnkXJjMsjqCrAOi6xFpv+Q4q89lpULsF4V WfUm26uw9ltWX4D1lshaaLJS3thvWcMBVkWhFhtpk5VeAxmxrOMBVkZkVeF1CfaPG7+JPPkAGYyN JyB/LJ8TWbXmwNvuqePmkBLw/giVQf+GsLzckPNsnxr/WlaHGcxtRL04G2eiDFlzIJ91FtcU1oDJ HlFicq5lMR/xWXz9SmENm66cMofMtyza77OqRVYGfajYRQb7kPmIz+oSWb2mXcp5ai0rFWA9KbKS Zs8+vw/jYpI82pgOcPkdWYrvakx/dzXqx8VkPcqQ1Rhg/VJk1ZsRKV+9z7KWB1jlWEMVuxrF+Z/5 D+1aE2DtEFkNJiO99rjWstYHWC+IrJQ52O3HifMdlpCxnIcM2tUaYP1QZKk5P+c0stoDrN+IrHrk /Mq47rCsHQFWJTpAiY20WSvlcjstKxNgZWWW9rp0l2X1BVgviawqk9q5H/VdPCTyrKFk0F+PB1iz sYYqfViLHNWfNzjXlkKYDib8eR6+P3qFzwVtpSF3XN+Fc/074c4VXClcNI26WniugLpS2IyCU6C5 0HSoapox5207KfzuDtcO/oQy5wtHpr1ZWDVtQRHPXRv3429si/NQOdQDnYBmw8Cn8Oj6Gadjn+dB uI/tj2U/uD6BOeaD0EyIx3SI5/8BJY/AYSicAQC= ------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/header.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8"





= Trejos & Britton. DOI= : https://doi.org/10.37387/ipc.v12i2.386

<= o:p> 

Trejos & Britton.  DOI: https://doi.org/10.37387/ipc.v12i2.386

= 14

Invest. pens. crit, 2024, 12 (2), 44-53

 

 

= 15

Invest. pens. crit, 2024, 12 (2), 44-53

 

 

Invest. Pens. Crit. (ISSN 1812-3864; eISSN 2644-4119)

Vol. 12,= No. 2, Mayo – Agosto 2024. pp. 44-53

DOI: https://doi.org/10.37387/ipc.v12i2.= 386Artículo Científico

&n= bsp;

= 4

Invest. pens. crit, 2021, 12= (2), 44-53

 

 

------=_NextPart_01DAA073.9CF472C0 Content-Location: file:///C:/6ACBDE4E/004Trejos&Britton_archivos/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01DAA073.9CF472C0--