ࡱ> VYSTU0bjbj>> 4TTN  X6@vvv8<75555555$;Y>Z6)v6vvE7111vv515114.4@B}tE)P45[707&4>+>.4>v.416617> :Nada }upanovi Filipin Faculty of Humanities and Social Sciences, University of Zagreb Matched guise technique revisited: Zagreb case study This paper analyses the results obtained by applying the matched guise technique to research into the attitudes of speakers from linguistically heterogeneous larger urban areas towards different varieties. The expected results indicate that members of a particular language community will rate speakers of the standard variety significantly higher in the dimension of social status, but much lower in the dimension of social solidarity, while the opposite will apply to speakers of the local variety. A representative sample of Zagreb high-school students was tested for attitudes towards the standard variety and urban varieties of Zagreb by applying a matched guise test. The results show that a part of the sample population rated the speaker of Standard Croatian much higher on solidarity than the speaker of the local variety, while both speakers were rated the same on status. It is concluded that in this area the matched guise technique achieves expected results when used to examine smaller and linguistically homogenous environments, while results obtained in bigger urban environments deviate from those expected due to the impact of certain sociolinguistic variables. Keywords: matched guise technique, language attitudes, Standard Croatian, Zagreb vernacular, sociolinguistic analysis 1. Introduction Mixoglottia, the extreme level of stratification of urban vernaculars and the problem of representativeness of informants are just some of the inherent difficulties urban dialectologists encounter in every analysis. The advantage of the sociolinguistic approach to analysing urban speech is in the fact that it offers explanations for phenomena which traditional dialect research cannot explain. Furthermore, only sociolinguistic research includes an analysis of speakers attitudes towards language phenomena that are being researched. Such an approach is useful for obtaining reliable data which accurately present a sociolinguistic image of urban centres. However, empirical urban sociolinguistic research in Croatia is still relatively rare. Although sociolinguistics (e.g. Trudgill 2000, Coulmas 1998) postulates that accent and dialect stereotyping is inappropriate since the distinction between a standard variety and a dialect should not be defined in terms of a correct high and an incorrect low variety, this kind of stereotyping and language ideology is strongly present and is often one of the most important sociolinguistic factors in determining the future development of a linguistic situation in a speech community. While analysing the attitudes held by speakers of Croatias capital city Zagreb towards the standard variety and their own urban vernacular, we discovered interesting data which, apart from showing the tendencies present in Zagrebs speech community, also throw a new light onto the matched guise technique as one of the most frequent sociolinguistic techniques used in empirical sociolinguistic research into attitudes towards urban speech. 2. The description of the matched guise technique Matched guise technique was developed and inaugurated by the social psychologist W. Lambert and the sociolinguist W. Labov in the 1960s. Up to the present day it has remained one of the most frequently used methods for eliciting attitudes toward linguistic features and their users. It is a test which brings out the listener's reactions to samples of recorded speech while at the same time controlling for all non-linguistic and linguistic variables other than the codes themselves (the effects of the speaker's voice quality, the content of sample speech, the projected personality of the speaker, etc.). Since it is well known that the wider social, cultural and political context has a powerful influence on language attitudes, only maximum control for all variables can ensure that the results are attributable solely to the linguistic phenomenon that is being analysed. For this purpose, the matched guise technique uses recordings of balanced bilingual or bidialectal speakers who read the same neutral text in different varieties in which they have native competence, and the listeners are not informed that the same person appears more than once. In this way the researchers can attribute validity to the listeners' reactions and analyse them as covert, unconscious attitudes. The listeners' assessments are made on some kind of evaluative scales. In the beginning Lambert's scale included thirteen personality traits, in random order, that were grouped into the categories of competence, integrity and social attractiveness (Lambert 1967). Initially, Labov proposed a scale organized around the categories of job suitability and friendliness, but soon renamed them into categories that evaluate the level of status and of solidarity (Labov 1966). Status and solidarity have thus become the basic variables in sociolinguistic research on attitudes. The research conducted so far has shown that the speech samples which can be defined as dialectal, minority or lower-class are evaluated highly in terms of social solidarity, but in terms of social status those speakers are perceived as being less intelligent, less competent, less successful and less adequate for high-profile professions than speakers of a standard variety. The matched guise technique was criticized for its presumed unreliability (Sols Obiols 2002, Gaies and Beebe 1991). Among other things, it has been stated that the researchers can never be certain that the informants did not choose the socially acceptable answers over the answers which convey how they truly feel and believe. It has also been argued that this method encourages the creation of stereotypes. The artificially produced situation in which the technique is carried out (in the classroom, the recorded text is read out) can 'force' the listeners to give an answer they otherwise would not. From this point of view, matched guise experiments can reveal stereotypes that do not really exist. Gaies and Beebe (1991:163-169) question the use of matched guises, warning that one speaker may produce exaggerated versions of the varieties he is simulating (with different speakers there is a much smaller chance of that) and wondering whether a limited number of speakers can convey all levels of variation that exist within a group. They question the credibility of the context in which a matched guise investigation is carried out, stating that wrong information (or no information at all) given to the listeners can influence the results. They also point to the need for debriefing, which is not done regularly, and question the validity of semantic differential scales that are used to elicit the listeners' reactions. They claim that the grouping of traits into categories is done arbitrarily because the researchers cannot know in advance whether the listeners will attribute positive or negative characteristics to a certain trait. In conclusion, the authors question whether (and if so, to what degree) the subjective reactions and stereotypes elicited by this method correlate with the actual behaviour of the members of a speech community, and whether they can be a reliable predictor of their actual future behaviour. Soukup 2013 points out that the effects of applying the matched guise technique on respondents have never been analysed and argues for a parallel analysis of a matched guise and an open guise technique, in order to establish the differences in their effects and outcomes. However, despite various critiques of the method, Labov still claims that the matched guise tests represent the most fruitful experimental measures of subjective reactions to linguistic variation (2001: 194). 3. Previous research According to Trudgill (2000:194-5), numerous experiments conducted in Great Britain have all shown that speakers using a RP-speaking guise are generally regarded as more intelligent and more educated, but less friendly and less likeable, than the same speakers using a local-accent-speaking guise. Honey (1998:70) reports the same findings for France: informants associated status/competence features with the prestigious accent of standard French and solidarity qualities with regional varieties such as Provencal and Breton. Recent experiments in German speaking area confirm such results. The speakers of Middle Bavarian-Austrian dialect were judged to be more relaxed, humorous, natural, friendly, honest, emotional and likeable (but also more coarse!) than a speaker of Standard Austrian German, who was in turn perceived as more serious, educated, intelligent, competent, industrious and clever, but also more arrogant, strict and conservative (Soukup 2013). In the study conducted by Blas Arroyo in Valencia (1995), which contrasted Spanish & Catalan varieties, the results showed that Northern Spanish was consistently rated high as a variety associated with personal competence and socioeconomic success, whereas Valencian was rated socially more attractive than both Spanish and other neighbouring non-standard varieties. Dialectologically speaking, all these countries are characterized by a high level of local variation and some dialects from regions far apart can be mutually almost incomprehensible. Local variation in the USA is much less marked than in Britain, France, German speaking countries or Spain, but the notion of regional standards is stronger and the varieties spoken by some minorities groups such as AAVE or Latino English are heavily stigmatized. Lippi-Green (1997:85) reports on various experiments which showed that in the USA all varieties other than Standard American English were found to be lacking in prestige and inappropriate for a classroom setting and public communication. Furthermore, they were judged unfavourably not only by white Anglo Americans but even by speakers who use them as their mother tongue (African American and Hispanic interviewees, see also Dailey, Giles and Jansma 2005). However, the results presented by Paunovi (2009:513) point to a growing body of research with somewhat different outcomes of matched guise experiments. This author summarizes the results of Coupland and Bishops (2007) study of diverse English varieties, which was based on an online survey involving 5,010 UK informants, asking them to evaluate the varieties based on their conceptual labels. The study revealed that standard English was favoured both in terms of prestige and social attractiveness, while non-standard varieties (the vernaculars of Birmingham, Liverpool, Glasgow, Leeds, Manchester and Bristol) were all downgraded in both categories. Casesnoves Ferrer and Sankoff (2004) give an overview of matched guise experiments conducted in Spain and conclude that standard Castilian was perceived as prestigious until the 1990s, when the dialects, until then perceived as means of solidary communication in familiar contexts, started gaining ground in the public domain as well. By the end of the 1990s, the participants of another experiment carried out in Valencia had already started attributing greater prestige to Valencian than to Castilian. This kind of change obviously has a lot to do with the change in the legal status of Valencian (and other minority languages within Spain), which introduced it into the domain of social status and power. Interesting findings have been discovered in the results of a matched guise text administered in Berlin (Johnson 1989). Sixty six tenth graders of various backgrounds judged tape-recorded speakers reading a text passage in Standard German, Berlin vernacular and other dialectal varieties. They judged the speakers on an eight-point scale of personality traits: honest, intelligent, masculine, well-mannered, friendly, feminine, helpful, and good achiever in school. Overall preference for High German speakers was found in all personality traits with the most significant preference attested in relation to the trait good achiever in school. No significant sex differences were found in attitudes toward the standard or the dialects, which the author tries to explain as a result of the judges' young age. Labov (2001) recounts similar findings in the matched guise test he applied in his study of the Philadelphia speech community. While expecting results that would reflect the covert prestige of nonstandard varieties in terms of their social attractiveness and solidarity, the study showed no such tendencies. The subjects' answers were equally negative for both job suitability and friendliness. In Croatian linguistics there have been only a few studies focusing on language attitudes, and they prevalently used open guise techniques. The research conducted by Jakov evi (1988) indicated a strict differentiation of domains: standard variety was perceived as the only possible means of public communication, while all other varieties belonged to the sphere of private and informal communication. These results are confirmed by Mildner (1998) whose subjects seem to be most tolerant when it comes to local and private usage of nonstandard vernaculars and at the same time highly critical of their usage in national media or in the doctors' or teachers' speech. The findings of Sujold~i's (2008) study on language attitudes in Istria are only partially in tune with the expected results: while nonstandard local varieties are rated highly for social attractiveness, Standard Croatian (SC) is among the least prestigious varieties examined. The only study that examines the speech community of the city of Zagreb, `imi i and Sujold~i (2004), mostly finds expected results: the standard variety affirms its prestige by being the most highly rated on competence traits, while the nonstandard local varieties show their covert prestige through high social attractiveness. 4. Current sociolinguistic situation in Zagreb According to the 2011 census Zagreb, the capital of Croatia, had a population of 790 017, while its metropolitan area had a population of more than one million of inhabitants. As a result of strong industrialization of the once rural country in the second half of the twentieth century, the city that had a population of 393 919 seventy years ago (the 1953 census data) underwent a rapid population growth that literally brought together native speakers of all Croatian dialects. Before World War II, the city was prevalently Kajkavian; but already in 1966 Magner estimated that the city's distinctive Kajkavian vernacular was spoken by less than one quarter of the citizens. More recent sociolinguistic studies describe the Zagreb Kajkavian Koine (ZK) as the native variety of the majority of Zagreb born and raised citizens (Hoyt 1996:43). However, the studies point to another phenomenon the existence of a Zagreb tokavian variety (ZS), the native variety of some Zagreb born citizens who are not Kajkavian, but their speech acquired certain core ZK features from the speech community they live in (Hoyt 1996:52). 5. Research methodology A matched guise test was administered to a statistically relevant sample of 205 Zagreb high school students as part of a larger study of the attitudes toward Croatian urban vernaculars. Our sample was made up of students from ten randomly chosen high school classes, which makes it a randomly selected cluster sample. We chose senior year (12th grade) population for a number of reasons. Firstly, relevant sociolinguistic literature considers 17- and 18-year-olds as capable as adults to form mature attitudes toward different varieties and to perceive the social implications of their use. Furthermore, the data about their linguistic behaviour is important because it can be taken to indicate the direction of future linguistic change. Finally, schools offer the easiest and most accessible way to gain access to a large group of people willing to be surveyed. To elicit the respondents attitudes toward several language varieties, we applied both matched guise and open guise techniques. The matched guise technique consisted of one speaker reading the same text in SC and ZK. The speaker was a Zagreb-born TV and radio presenter well trained in SC phonology. The open guise technique consisted of various speakers reading the same text, using their maternal nonstandard variety. That way the differences between the recordings existed only on the phonological level. The open guise technique served as both a distractor and a filler for the matched guises that were played as the first and last recordings. Data were collected during the first 25 minutes of a regular 45-minute lesson held in an ordinary classroom. The same person conducted all experiments and no information about the purpose of the experiment had been given to the informants prior to its start. In this paper we will analyse only the results obtained by the matched guise analysis. The respondents were first asked to complete a questionnaire devised to elicit information about their sex, place of birth, family origin and socioeconomic status, varieties spoken by family members, etc. After listening to each recording, they were asked to rate the speaker on 19 qualities describing personality traits. The rating was performed on a 5-point Likert scale (VanderStoep and Johnston 2009:54), where 1 stood for "completely disagree", 2 stood for "partially disagree", 3 stood for "neutral" (neither agree nor disagree), 4 stood for "partially agree, and 5 stood for "completely agree". The traits were grouped together into categories as follows: solidarity (honest, cordial, kind, nice, friendly, witty, cheerful); status (honourable, trustworthy, influential, distinguished, successful, affluent, has a good job) and competence (intelligent, well educated, ambitious, dominant, self-confident). Our hypothesis was that respondents born in non-Kajkavian Zagreb families would attribute high values to the standard variety not only with regard to competence and status, but also in the dimension of social attractiveness, similarly to the results of Johnson (1989). We therefore divided our sample into two subsamples in order to analyze them comparatively: ZK speakers (which included 59 respondents who reported to have Kajkavian parents and use Kajkavian at home) and ZS speakers (consisting of 146 respondents who reported to have tokavian parents and use tokavian at home). 6. Results The results corroborate our initial hypothesis. Figure 1 shows the results of the descriptive analysis along the three dimensions for the subsample ZK speakers. The respondents were a) descendants of parents who were both born in Zagreb (29% of the entire sample) and b) considered themselves and their parents to be members of the Zagreb Kajkavian dialect group (29%). Although these are non-reliable self-perceptions of the respondents, it is important to point out that 80% of respondents whose one or both parents were born in Zagreb considered their parents to be tokavian. Therefore, the high values that this subsample attributed to the standard variety across all dimensions are not surprising:  Fig. 1: ZK speakers' attitudes towards SC and ZK speaker along three dimensions The mean values indicate that SC is valued highly not only with regard to competence and status, but social solidarity as well: in this dimension the SC speaker was rated higher than the ZK speaker in five out of nine traits. This can be explained by the fact that many of these speakers consider their immediate surroundings to be tokavian, thus for them tokavian is not only the official variety that they use in public situations but also the common variety used in communication in private situations. We explain the somewhat lower ratings in the category cheerfulness as a result of the fact that the speaker, biased by his profession, read the SC text seriously and professionally, as if reading radio news. Figure 2 represents the mean values of the ratings ZS speakers gave to the two examined varieties. The respondents in this subsample are first generation Zagreb residents and mostly use some type of tokavian variety at home. Six percent of them even claim to be native speakers of the SC variety.  Fig.2. ZS speakers' attitudes towards SC and ZK speaker along three dimensions Again we can see how language attitudes vary depending on the evaluators' background. This subsample rated the SC variety significantly higher than ZK in all traits except for wittiness and cheerfulness, where ZK is rated only slightly higher, probably because the speaker was more relaxed while reading the text in the ZK guise. As Giles and Beebe (1991:167) noted, traits can frequently get grouped in categories in unexpected ways. The factor analysis showed that in our experiment the traits were grouped in four dimensions: witty and cheerful form a separate dimension of 'cheerfulness', while intelligent and well educated were grouped into the 'status' dimension. These dimensions have been proven valid and reliable, with Cronbach's alpha coefficient of internal consistency ranging from 0.759 for competence of SC to 0.920 for social status of ZK. Furthermore, our goal was to analyse the results obtained with matched guise technique in terms of our respondents' sociodemographic characteristics (sex, origin, parents' native varieties, parents' educational level and income). We will focus only on the statistically relevant findings (p<0.05) which can be applied to the entire examined population, leaving the consideration of the respondents' sex and social class (which did not yield any statistically significant results) for the discussion. Multivariate analyses of variance (MANOVAs) were performed on the three factor-based dependent variables: solidarity, status and competence. The independent sociodemographic variables were the parental place of birth and parental native varieties. With regard to solidarity (variety: F=0.215, df=2.404, p>0.05; parents born in Zagreb: F=3.909, df=2.202, p<0.05; variety x parents born in Zagreb: F=3.859, df=4.404, p<0.05), the respondents whose parents were not born in Zagreb rated the SC speaker highly (EMM=3.59), while rating the ZK speaker significantly lower (EMM=3.27). The opposite effect was found in the respondents whose both parents were born in Zagreb, in which case, the ZK speaker was rated significantly higher on solidarity (EMM=3.51) than the SC speaker (EMM=3.32). Respondents with only one parent born in Zagreb gave the highest ratings, rating the ZK speaker higher (EMM=3.63) than the SC speaker (EMM=3.58). The variable parental speech includes the categories both parents tokavian, both parents Kajkavian and one parent tokavian, the other Kajkavian (variety: F=0.220, df=2.378, p>0.05; parents' native variety: F=0.620, df=2.202, p>0.05; variety x parents' native variety: F=3.957, df=4.378, p<0.05). According to this variable, the results show that ratings of the speakers on solidarity differ significantly depending on the variety spoken by the respondents parents. The respondents whose both parents were tokavian rated SC significantly higher on solidarity (EMM=3.64) than ZK (EMM=3.39). The respondents with one tokavian and one Kajkavian parent rated the SC speaker higher on solidarity (EMM=3.48) than ZK speaker (EMM=3.35). When both parents were Kajkavian, the ZK speaker was rated much higher on solidarity (EMM=3.67) than the SC speaker (EMM=3.28). The data for the dimension of status (variety: F=90.700, df=2.404, p<0.05; parents born in Zagreb: F=5.253, df=2.200, p>0.05; variety x parents born in Zagreb: F=1.312, df=2.202, p<0.05) show that the speaker of SC was rated the same on status as the speaker of ZK. The same applies to the ratings of status when taking into account the parents speech (variety: F=55.503, df=2.378, p<0.05; parents' native variety: F=3.046, df=2.189, p<0.05; variety x parents' native variety: F=0.156, df=4.378, p>0.05). Respondents with one Kajkavian and one tokavian parent rated the speakers status higher compared to the other respondents. Multivariate analyses of variance for the dimension of competence by variable 1) parents born in Zagreb (variety: F=36.123, df=2.402, p<0.05; parents born in Zagreb: F=0.413 df=2.201, p>0.05; variety x parents born in Zagreb: F=3.838, df=4.402, p<0.05) and variable 2) parents speech (variety: F=26.042, df=2.376, p<0.05; parents' native variety: F=0.404, df=2.188, p>0.05; variety x parents' native variety: F=0.341, df=4.376, p<0.05) point to the expected result: respondents rated the SC speaker much higher on competence compared to the ZK speaker. Respondents with both parents born in Zagreb rated the ZK speaker higher on competence (EMM=3.26) than respondents with only one parent born in Zagreb (EMM=3.06). 7. Discussion Compared to the outcomes of prior studies (see 3), our data partially confirms previous findings (primarily overt prestige of the standard variety) as well as some of the previously stated shortcomings of the matched guise technique. The research has shown that the same speaker can use various styles when reading the text and can therefore influence, however slightly, the respondents' answers. The text read in SC was somewhat more formal (which is probably due to the speaker's occupational hazard), while the ZK text was read in a somewhat more relaxed manner and the voice was less tense. Even so, we cannot consider this to influence the results strongly. The tendency shown in our results is fairly visible and cannot be regarded as a consequence of a methodological error. Regardless of its shortcomings, the matched guise technique remains to be the most efficient way to control all external influences present in empirical sociolinguistic research. However, our research has also shown certain unexpected trends (e.g., it fails to establish the covert prestige of nonstandard varieties). We assume that these results can be seen as a by-product of the particular typology of language contact that arises from a speech community marked by constant immigration. Just in the period between 1961 and 1971, the decade when most of our respondents' parents were born, the population of Zagreb increased by almost 200 000. In such a speech community, standard variety expands its immanent function and serves as a means that enables communication not only in formal occasions but in everyday life as well. In such a speech community, standard variety expands its immanent function and serves as a means that enables communication not only on formal occasions but on the informal everyday level as well. The standard variety thus assumes the traits that were previously characteristic only of nonstandard varieties. The explanation for the fact that the respondents' social class did not affect the results can be found in the sociolinguistic literature on Zagreb speech community. Hoyt (1996:57) quotes the Croatian dialectologist ojat who said that the usage of nonstandard varieties in Zagreb speech community had always been independent of class. The same idea is implicitly present in Magner (1966). There are numerous examples of highly educated and affluent individuals who communicate prevalently in ZK, which leads to the conclusion that ZK can be perceived as a prestige variety in everyday urban life. Although it has been frequently described as such, our results do not corroborate this claim. Furthermore, every vernacular is a strong factor of homogeneity in the group that uses it. In a heterogeneous urban community characterized by a multitude of different influences, only the standard variety is influential enough to function as a means of cohesion among its members. The fact that the respondents' sex was not statistically relevant can be explained by the fact that both male and female adolescents often do not have particularly high awareness of belonging to a specific language community. Additionally, our respondents were students at gymnasiums and thus more educated than their peers average, and were also for the most part speakers of ZS, which is significantly closer to SC than to ZK; thus, due to their education and background, they do not feel any traces of language conflict in the speech community. These are all possible reasons that could neutralize expected sociolinguistic rules whereby female respondents are expected to favour standard language traits while male respondents are expected to favour nonstandard traits. Statistical data showed most fluctuations when it comes to respondents with one parent of Kajkavian background and the other of tokavian background. Since it is not possible to determine from the sample itself the rules that might explain this occurrence, we can conclude that in such situations the respondents attitudes largely depend on the internal dynamic of their family relations, i.e., on whether one of the parents (or both, or none) fosters their native variety. 8. Conclusion The results lead us to conclude that the matched guise technique gives expected results only in relation to research conducted in homogenous closed communities. As the community grows more heterogeneous, results different than expected start to appear. These attitudes are explained as a result of the impact of classic sociodemographic variables on the respondents attitudes. In Croatia, in the past fifteen years nonstandard varieties have grown stronger and their role and importance has increased, which is why there are tendencies toward de-standardization in certain Croatian regions (see Sujold~i 2008 for Istria). However, our research shows that an opposite process has been taking place in the capital city. Here the standard variety fulfils its function and a significant number of people accept it for its social solidarity value and not just, as is usual, for its prestige. It is well known that varieties spoken in big cities carry a certain sociolinguistic prestige, but results obtained in our research show that urban environments can foster the prestige of standard varieties as well. Our results speak in favour of the continuation of the current sociolinguistic situation in Croatias capital. Constant influx of non-Kajkavian population, as well as the Kajkavian population from the surrounding region, will maintain this situation. In the course of those interactions the urban variety will change, but its place in the speech community will remain intact, just like the prestigious position of the standard variety. References: Blas Arroyo, Jose Luis. 1995. De nuevo el espanol y el catalan, juntos y en contraste. Estudio de actitudes linguisticas. Sintagma 7: 29-41. Casesnoves Ferrer, Raquel, Sankoff, David. 2004. The Valencian Revival: Why Usage Lags behind Competence. Language in Society 33/1: 1-31. Dailey, Ren M., Giles, Howard and Laura L. Jansma. 2005. Language attitudes in an Anglo-Hispanic context: the role of the linguistic landscape. Language and Communication 25: 2738. Gaies, Stephen J., Beebe, Jacqueline D. 1991. The Matched-Guise Technique for Measuring Attitudes and Their Implications for Language Education: A Critical Assessment. In Language Acquisition and the Second/Foreign Language Classroom, edited by Sadtono, Eugenius, Anthology Series 28; 156-178. Giles, Howard. 1990. Social Meanings of Welsh English. In English in Wales: diversity, conflict and change, edited by Coupland, Nikolas, Thomas, Allan R., 258-282, Clevedon/Bristol: Multilingual Matters. Honey, John. 1998. Sociophonology. In The Handbook of Sociolinguistics, edited by Coulmas, Florian, 92-106, Oxford: Blackwell. Hoyt, Alexander Douglas. 1996. The Croatian Language in Zagreb: A Sociolinguistic Study. Zagreb: University of Zagreb, unpublished M.A. thesis. Jakov evi, Neli. 1988.  Jedno istra~ivanje stavova o jezi nim varijetetima. [A Survey of Attitudes towards Language Variants] Govor 5/1: 43 61. Johnson, Sally. 1989.  Attitudes towards the Berlin Dialect. On the Relative Significance of Informants' Sex and Region of Origin amongst a Group of West Berlin Pupils. Grazer Linguistische Studien 32: 21-37. Labov, William. 1966. The Social Stratification of English in New York City. Washington DC: Centre for Applied Linguistics. Labov, William. 2001. Principles of Linguistic Change, Vol. 2: Social Factors. Oxford: Blackwell. Lambert, Wallace E. 1967. A social psychology of bilingualism. Journal of Social Issues 23: 91108. Lippi-Green, Rosina. 1997. English with an accent: Language, ideology and discrimination in the United States. London: Routledge. Magner, Thomas F. 1966. A Zagreb kajkavian dialect. University Park: Penn State Studies 18. Mildner, Vesna, 1998: Stavovi prema hrvatskim govornim varijetetima. [Attitudes toward Croatian Speech Variants] In: Jezi na norma i varijeteti, CALS Proceedings, edited by Badurina, Lada, Prichard, Boris i Diana Stolac, 349 365. Rijeka  Zagreb: CALS. Paunovi, Tatjana. 2009.  Plus a change: Attitudes to English varieties. Poznan Studies in Contemporary Linguistics 45/4: 525-547. Sujold~i, Anita. 2008.  Istrian Identities and Languages in Contact. Suvremena linguistika 65/1: 27-56. Sols Obiols, Marina. 2002.  The Matched Guise Technique: a Critical Approximation to a Classic Test for Formal Measurement of Language Attitudes. In: Noves SL. Revista de Sociolingstica. Teoria i metodologia Estiu 2002: 1-6. Soukup, Babara. 2013. 'Matched guise technique' vs. 'Open guise technique' in the elicitation of language attitudes: Insights from a comparative study. Paper presented at Experimental Approaches to Perception and Production of Language Variation (ExAPP) 2, University of Copenhagen, March 20-22, 2013. To be published. `imi i, Lucija, Sujold~i, Anita. 2004.  Cultural Implications of Attitudes and Evaluative Reactions Toward Dialect Variation in Croatian Youth. Collegium Antropologicum 28/1: 97 107. Trudgill, Peter, 2000. Sociolinguistics. An introduction to language and society. 4th ed. London: Penguin books. VanderStoep, Scott W., Johnston, Diedre. 2009. Research Methods for Real Life: Blending Qualitative and Quantitative Approaches. San Francisco: Jossey-Bass. Bewertung der Methode der matched-guise-Technik am Fallbeispiel der Stadt Zagreb In dieser Arbeit werden die Ergebnisse der matched-guise-Technik besprochen, wenn die Methode auf die Meinungsprfung der Versuchspersonen ber verschiedene Varietten aus den sprachlich heterogenen urbanen Zentren angewendet wird. Die Ergebnisse weisen erwartungsgem darauf hin, dass die Angehrigen einer Sprachgemeinschaft die Sprecher der Standardsprache in der Kategorie des Gesellschaftsstatus besser beurteilen als in der Kategorie der gesellschaftlichen Solidaritt. Fr die Sprecher der lokalen Sprache allerdings, gilt dies umgekehrt. Auf dem reprsentativen Muster der Zagreber Mittelschler wurden die Meinungsprfungen ber die Standardsprache und ber den Urbanolekt von Zagreb durchgefhrt. Hierbei wurde die matched-guise-Technik angewendet. Die Forschungsergebnisse zeigen, dass ein Teil der Versuchspersonen in der Kategorie der Solidaritt die Sprecher der Standardsprache besser als die Sprecher des Urbanolektes beurteilte, whrend in der Kategorie des Gesellschaftsstatus die beiden Sprecher jeweils gleich beurteilt wurden. Zum Schluss wird nochmals betont, dass in diesem Feld die Methode der matched-guise-Technik die erwarteten Ergebnisse aufweist, whrend die Ergebnisse in greren urbanen Zonen durch den Einfluss bestimmter soziolinguistischer Variablen in der Analyse von den erwarteten Resultaten abweichen. Schlsselworte: matched-guise-Technik, Haltungen zur Sprache, kroatische Standardsprache, Urbanolekt in Zagreb, soziolinguistische Analyse  By 'linguistic features' we mean linguistic variables ranging from a single phoneme to the entire code because the matched guise technique is applied to research into phenomena ranging from the analysis of in-group speakers' attitudes toward different pronunciations of a phoneme to the analysis of out-group speakers' attitudes toward different varieties.  Traits can differ as well. They can include physical appearance (height, looks), personal beliefs (religiousness), nationality and various other features (leadership, dependability, education, pleasantness, etc.). In general, the traits used in a certain study depend on the examined topic and can be established by a pilot study or based on the previous studies of the same phenomenon.  However, the method efficiently pinpoints the situations in which listeners act under the influence of stereotypes. For instance, in Paunovi (2009: 528-529) the same speakers were rated twice as favourably when they were mistaken for an American or a British speaker and much more harshly   ! )*34A˷~jWCW0Wj$hL*hECJOJQJaJmH sH 'hL*hr*6CJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH $hL*hECJOJQJaJmH sH $hL*htCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hE5CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH hL*h'5OJQJmH sH  hL*h'OJQJ^JmH sH .  *ABt{; %&''$dh7$8$H$a$gd~e$ dha$gdE $dha$gd~e$dh]^a$gdE$a$gdr*gd'd1$7$8$H$gd'ABt}~5ıĞċ{{bII0hL*hr*CJOJPJQJaJmH nHsH tH1jhL*hr*0JCJOJQJUaJmH sH hL*CJOJQJaJmH sH $hL*hL*CJOJQJaJmH sH $hL*hECJOJQJaJmH sH $hL*h40CJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH 'hL*hE5CJOJQJaJmH sH 5;CMN[\ ̝̊t[t[t[t[t[t[0hL*hL*CJOJPJQJaJmH nHsH tH*hL*CJOJPJQJaJmH nHsH tH$hL*hr*CJOJQJaJmH sH )jhL*hr*0JOJQJUmH sH 3hL*hhN36CJOJPJQJaJmH nHsH tH0hL*hr*CJOJPJQJaJmH nHsH tH3hL*hr*6CJOJPJQJaJmH nHsH tH $$$$&&&H'J'''''DZDZǗDŽq^J6'hL*hE5CJOJQJaJmH sH 'hL*hr*CJH*OJQJaJmH sH $hL*hECJOJQJaJmH sH $hL*hAVCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 3hL*hr*6CJOJPJQJaJmH nHsH tH*h[`CJOJPJQJaJmH nHsH tH0hL*hr*CJOJPJQJaJmH nHsH tH=jhL*hr*0JCJOJPJQJUaJmH nHsH tH'''-146;QDRDDHHH@PVV(V $dha$gd $dha$gd $dha$gd;WdhgdV $dha$gdV$a$gdr*$dh7$8$H$a$gd~e $dha$gd~e$dh7$8$H$a$gd~e''((++++,-//|777::n;;;;;;ؿجؓ؃pؓQؓ='hL*hr*CJH*OJQJaJmH sH =jhL*hr*0JCJOJPJQJUaJmH nHsH tH$hL*h[`CJOJQJaJmH sH h[`CJOJQJaJmH sH 0hL*hr*CJOJPJQJaJmH nHsH tH$hL*hr*CJOJQJaJmH sH 1jhL*hr*0JCJOJQJUaJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH ;;<<AA2DPDRDDDDEEFFrGsGHHHHóàÌ||ccP=$hL*hVCJOJQJaJmH sH $hL*hCJOJQJaJmH sH 1jhL*hr*0JCJOJQJUaJmH sH h[`CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH $hL*hAVCJOJQJaJmH sH h(CJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH (hL*htCJOJQJ^JaJmH sH (hL*hr*CJOJQJ^JaJmH sH HHHH I IISJUJJKKLKK[L\LİăoZN:&'hL*hCJOJQJ\aJmH sH 'hL*hCJOJQJ\aJmH sH h;WCJOJQJaJ(h;Wh;WCJOJQJ^JaJmH sH 'hL*hCJH*OJQJaJmH sH $hL*hCJOJQJaJmH sH 3hL*hr*5B*CJOJQJ\aJmH phsH 'hL*hr*CJOJQJ\aJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH 'hL*hV5CJOJQJaJmH sH \LLHMNMOM|NNNNO#P'P?P@PQQQQQQQRR$R'R3R:R;RERKRORWR\ReRfRvR~RRǷڧڧl$hL*hCJOJQJaJmH sH 1jhL*hr*0JCJOJQJUaJmH sH h;Whr*CJOJQJaJhCJOJQJaJmH sH h(CJOJQJaJmH sH $hL*h(CJOJQJaJmH sH $hL*hCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH %RRRSSTT T#TeTfTTTU:UUVVVͽઽ͗̈́q^q^N:'hL*h5CJOJQJaJmH sH hVCJOJQJaJmH sH $h Y'hCJOJQJaJmH sH $h Y'hCJOJQJaJmH sH $hhCJOJQJaJmH sH $hL*h+kCJOJQJaJmH sH $hL*hCJOJQJaJmH sH hCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH hCJOJQJaJmH sH hA_CJOJQJaJmH sH V'V(V)VX(XFXdXXXZ5Z8ZkZZ[[ \ \$\\\&]*]7]8]_ǴvccccǴǴP%jhL*hr*UmH nHsH tH$hL*h~eCJOJQJaJmH sH 5jhL*hr*CJOJQJUaJmH nHsH tH$hL*hCJOJQJaJmH sH h/c+CJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH hCJOJQJaJmH sH 'hL*hr*5CJOJQJaJmH sH 'hL*hV5CJOJQJaJmH sH (VXXX=Y \7]9]]^bi[l.o/o=ouvz}s $dha$gdQ $dha$gd-w $ 8a$gdV$a$gdV $dha$gd z $dha$gd$a$gdr* $dha$gdh*________``aaAbbccccdd:e>ePeUepeqereueze{eeef f0f=fffظبؘؘrrr_$hL*hCJOJQJaJmH sH $hL*hJCJOJQJaJmH sH $hL*h43CJOJQJaJmH sH hJCJOJQJaJmH sH h/CJOJQJaJmH sH h;PCJOJQJaJmH sH hAmCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 'hL*hr*6CJOJQJaJmH sH %fffgggg=hAhWh\hghmhzhhhhhhhh iiiiiiijjjjjjjڱڱ{hhh$hL*hr*CJOJQJaJmH sH $hJhJCJOJQJaJmH sH hCJOJQJaJmH sH $hL*hJCJOJQJaJmH sH hJCJOJQJaJmH sH 0jhL*h43CJH*OJQJUaJmH sH $hL*hCJOJQJaJmH sH $hL*h43CJOJQJaJmH sH "jjkk/k3kkkkkkklllllClGlZl[llnӰqq^K$hL*hVCJOJQJaJmH sH $hJhJCJOJQJaJmH sH $hL*hCJOJQJaJmH sH 1jhL*h(<0JCJOJQJUaJmH sH $hL*hj8<CJOJQJaJmH sH $hL*h$+0CJOJQJaJmH sH hJCJOJQJaJmH sH $hL*hr*CJOJQJaJmH sH 1jhL*hvl0JCJOJQJUaJmH sH lnmnnnnnnn'o+o.o/oA?Picture 2"bK^%V{6a'Dn^%V{6aPNG  IHDRܨnsRGBgAMA a pHYs&?IDATx^Yř+Dps_D8W3xm=x9ff4=`l€@HI a$ .}hc*vB 9ׯmWꮮy"ЧZ߬\~fe+'2aaaa=b7K&}aaaa;]9s v@@ρ =bz.]9s v@@ρ =bz.]9s v@@ρ =bz.]A޽{݄ ݁?MwnȐ!|&]HeĈOl~{ }Knذa,BB̮~OS~_"v`ЀTLk HwOubRojU>Y֭[oq b]-| k>]-o@Q v`0{&/z,bW1/V .. &˗/o(MA/N%Z]MWтVP<]L v 7Z9fbwܹ$ulH|3&Z4Kc 庆%؎(t]NCu5 < :NyZҤ+ݭ"vQWJw/_:M)i7/`pYM=NFibW_jt+dqA+|A($oI׈{hzw2E:4(]L4$+ID1HN U [_N% n E|,"$v R/$%l`V;/$}i6S1 >H*zi>4(o1Sh%v}Q&MI/M͛0A@(ww L`$ W^Vѿ_|ZүH`Ҵk_RڏTh>0)iɾK :FMv Lw5=|('y ."&@krr\JXyYBήV_$jIQLwt;;NQ8qG5Ҧ]??҄(}g"N7]h Eȝ"yŮ5_lĬDmZ]>f3 }g~9ys&v}L{t{N7]h ̬ӏ]?2,e%v'LB̏j*}wN[G[Eq# IN3+=~:Z vt0A@fwC%nB =ٿLivĮPӎG$f&Y:VOE"vJ"O>Λ0A@&?YIGoһ ="V'B_]Kr"5Ͳ]_Z "O>Λ0A@&$2!I sY;:+FQF3tQb׿㲘l}X=Zp+"v5lt]% n!V %&v.kz`I@v*|];/J EV;&ؕţiEWY7]h?8ϊĮ?EUe!O]!fȨ?@&>u4AG .Hߢ~hiK v)0=k&vw9ŷoĖ+#i)?m+v,I4{DQbW4K v ;Z]G0eekJ/dĘk\hiP:jF3 H+v?-Xw`=H,/`pTwET] Nߕ@l&n'.bWQ#ŝ|/HL14$|A,#vu)Eю$/`pD$RLD$|mVmV+T:OKI@}SAQwqA 1j~"^|8?``:JVT= Uh?v Ծ;q:=U:|:K v miYŮ 4 0;?$Zm=$M5[_*S 4e܎I:ߓ%F'y .$(FR䶕#]]CYk**LbZ*qVRȊ!ב)}JEOih[#?b*yv}I{ 5ՙ;=YaK v<ډ:@ v<b  v<b  v< wh;[.]9s v@@ρ =bz.]9s v@@ρ =bz.]9s v@@ρ4;w\7dȐ6oi:۷owGuT߆>#6l؀c=X R}Gٳg]tw;cܞ={`R3fL$FoŮ$jÇŮ/Zm*sQb"IӚ;3@bWҚ-Z춊LeBn\:7_"v ݤ)$|*[؝3gN9q8qbaacpTbW5$pCv'(BĮmE]_fX 6],f1'}W4])DQDdWӣkMUn>o v¦kԏJƅO[N:Yķ aصtoIQaqib lJi1Jaurs@MŮ@e^? b7 l9Oa~n@ vs6'A? b7 , 7ឝ>z% Y)MΝ; 2$͛7ښaÆ5Γ{?0Y+.@8HO}FlïE;Q}!!/}>!D];tw;cܞ={ϲW&]00!gmOs-J 1cDbn,vuNXݾ};ꨣãg=L OmoNtSC-2)]gnLen%v-2;tA$ߟ鸲3#vB[vB}yȾ~o&P]Kkb4m5ͽ;3WTf.@u oZNvҥh鶗D5(T-b$U]Ν0bS4r=&P$ݤ]M}N".v[=RȵKoj']A8/Mab7i:Gv̙pN&LyV+ow?%aa6IǏw/yԊH|}wf]'dgƍ׵GFH3?TCaۑص"H6nܘ鸐+ ˏcƦokI_}a}}/ټM/t%hLYK &j[Y5le}od:.]_mn܍㢨@OXk̇4ݣwE7hKVϟ4yt_OYѿP5aGa>Kf=L_gL!vGݕI~H߇4kX;̥n/-tS4ʾr^ؖpޒB kW{~۶IkBw;;׿FPY,>DM{%hOiybW6tF&{4Xy3i*΅4sOW#n~ {xl߈aJi39D)t;uH\]7ssgg>8+/E  i撟NЭ~ 7unwִmc]v i&wo[}s_/}bg?ln4˚/t/m۶=SW_u裏e]f$h)}ewEwֺv6Se?t_t)C # CU2cfAk䓤vKiްHIßm'sJ/=+Bw]{Oaֻ>ׄyW5k{;H~LZ)}~3ھS܌ߊl97=b(RZ #KfBg0Ua_FTwkٴ5nDwO :vC #H+/!niE ŝ (+H/vy7^xݰl1}mzY[ݴ>6o6lQӗ5ߝz[d_8CB˖-sׯw;vpO?{WEo~M^;our/t'6zY57þ7ϟvwW,P58A O~㕶OO)+1Nf>L,hTz;~ZCoB뾖_mSM~} ች"IY-[ kҪHx?ښFju]${Yw/~BZ(u׮]_^kޏV:ok;,ʊ'3^?H[Yf/zWiv ݾ`} ncW}®HNYvnIloGwzAOC6h_^B 5O+b(?ǐ"~!'P"}VXjzS~SKE" u5K/~m%sߪ]\>zu읏7R$N}ϦE"W}= ]_M9h&vm0M4+'WLu.>MZ#l_cnkTtC5<~ON0YCƦ奓P7oZZC1xZ޲Z~2i2rʊkjyOIkG-~@ysgt}bkb,qى}~yG @'HI kak0 4+B94 QKNv,81Ѯ]>A{ѿqH$߸X-~;p Ul*++j T2:ii Y ~fLNOӀeD|1sL+Ji{ݺp~Igc3b 뉫܏ǯ-t^z.wp4Oq\<rH $?YԲZ_;߲elJ?u设﫩6ui_tw!ӿv[بTMYt4 XcQXs6;V~:1;Z̟f'-!!K" &VO׫o~qaQfHkh>uzl?C=6mE֮]-TݻwGk쾲!bVeo.6FS}B_?$Iɯ^{=nɒ%FڅvcSDbWvn}goІuMBߺ!6ZwB ]2Ȳ׾MGꮝn2cBC&y^l-姳QweNs-Ҳ&t/6p"_9 " {,@>h$XQBHZqK+~m>l~rckLVmCFH 4J4b>3QEiXUTʻ⮸-m겾lҟnpUw6MY5U噛ݚ0Q ﴗWt X ӄWG"YӼjY5- Y4$S|M gpa;oƃYwlvoZN{jM7y[f-U~Y1Aוlx#Q$ߺRBHƬ{Jm޼٭\r;U+] 9eهb*kZl/nĮ lsBgV67L6q^twe߻IvݒfLrC/;MlmIWuYeְOy]4ua7nUDNu|7Z_KL>{ ~[0vQYPh[XI P;l07dȐ6{o}QGqlСQ!cnO*hTE ["ǻKob6eqo0k3t 4 _<#ۨQ(wtCJʑɎg4sw̵â5euF ? *@9?j;}i_~ yjcc^&\U1@~ֺ6eNiI2Ͽ~nZ#)֊D׵!~2Rֽݻ];=T6Q܊_5toai>*&vnjs(gYVǪ8[Mi81'[6i~BJNԂc#1oKf}>b)[t׷+[k ~a7qa5PŤAuUYO}i]#;FnSOWd~w{o^0Ȑֻ8YL&ڙ4~+y_VidU,TK<|("Lk w]nOkݎҵkE{YY|ح}bd_u\??klydI&v0%UJ@'Z;G3.Aͪm繟\}׀ N\Fĕv방5q{v͎NEҽ)i _,&OuT&=}O_zVfVd3W uOI +wnws~+<]|9>;a^ti!+==+nCϹ rW߾? àY3M#Sqw׮q?}Z7 ?`ԇ-v@C1m ɸ-[PZ]ӬX#|}b-=w~3Zg:<~1M{2Z]^Ҵv)I~+{6_hiOYZes/p?XeDќ4so]|`6(~o[h'|2b+3)yV JkbR0!ށ !>m5ߌlښo ߻ `;u s~ݒEyj+wyYa."2cu^ӬOR8,&|fA?YQ_^}^MY Vf wk jlIjkVNڵVۑVX#||fQ y&Fm6@*vU58I"v혴T4W&}vU1Xh7o;M7f̘L?G~pBzje˖Q%/-sm8u@g6<$^Ja:Fwx9C\0`WU!PJ.ԷlO<^|E[o t 41ʟJcbwwg^_z1nёݿR7gY>;MY6}ekFt7@ʃ؛>~s?mgMY @*vmA*Nܹsdi"ŮĨ$n&L8+?]~nԨQnĈ(?묳~;wi7W/~_g?o1:SOu~;39.w%D~;vlt?ܵ/Qi$zϻa¡i^_]x4o^{w,ug]9ߵ2Fٸqe].RwŔӣ4o9rdt5ҝ?nڀs'LM|f{7_a?eʦ=MZ#l~43=߿#FT7aS͝qw_|uI'li,^xsύ:PξVC'|1t=]Cʛ֑W]4~;o/tq2(9MX߿]>?^~[zFpd7rT(>l6j|E~Y~=zfsc3K7۴6-W^H^޸~Λo(=4 Y?;('P>wYUө>'sd[r7U'PDJQkY{XbCa[4fY1aאCdW\GMFvxZ)ZDQgNh i4W#MEvQO?myfw4MVr_pU47>97m{WQkPQ#Ev޷ݼQ @ &$(V^8u"wDjYd%~=y'&ڵCt7lY4 n4+~~lK(|yu]/)ZG.4Jf2Kt#ψO4fvh'j%}lU"1uKS"y'ɟ!FN3t8p *O[ϖfPeO\R}$S~3}Wޡ/Yѵe94JyPh; *RWAWW J /5XCNo̾ױ:GjZC\R?Y}6?wNп}J_LN]Cw.47oo%+J̄՚G: :6>xu÷Qs.gfAw6dU+&?]}WSm>Aλa3(wO?ӧ߷y{ȎgbHu:I,?w#fΉV֔M =]SUg-i|JB~+{p'U[ZΩ̻y3Y[ݿ9<4Ovy#ubk,kQ(Vt]']_YKԛn+ |4ZRsѤ]6[^"A :?Tvxp1:^窑*5,~c۬`Kܭc3fIU֦⺖UN~?}ɩMs6Me[;b~q}o iIѱV$:2AhxTWv}.47.Zlw>:[.ŐDġDܥWGݲ||XuYZI+ߚuH2"qZ\寮<sEC^m6P#UVZdTE)B4t]=kXyc#W5[#ԓn]_!iSMO;ɯL$HUHRCtLgt/MlT 3$&.N ORGݫv?Y|a&ϵpS3VĮQI_yWw}M]ՏLC=wz H}9:F?Fd*X4h.~]h+u9X<ݰ{۴=ь -t =ǪO&9*vs^K[?r{eYu eJKK?pc{6!)D쪰(&@֤%bPIdRB k~Cnao->j@q5X}Wrpb7k-qʖ>2)Z؋ p]tkˍsB&8O\}/F #H(M/k=ѠhՅ4VR9t7L^PM-_Tz CRZnskzq+_4,wOC'm?=_zB_|,ͺߎg=XsFm]a"TԷHk`M;">&nNC+?Y _^_+:O *^nLYt)`1iP#&5%[S%&̨\5}-?ōwm_lS ;6>iE׆jIq(=^۞IonN4cC"Gϳ=;z$^|c۰YޚZjضMY|xW6"!?~T;cD/?N{C ȽwO9.ku|4S=)=Lߕ&]S},@72rk/PʖLŮ@eRWk*+M W%ݹonOlDn^Hj.ExyI4R xyG)J2`]1YDt.[FמxϷ%>~}ݴшTճwݒM3eX@ۇI9:oei,'&)ii/7/6~fq-!^bW_* U\ʨz/e}j¯t.ǟQ?uژD(BL9=oVvGH#RڻZY3&ES|d/V:W fkXî[$BOp!i ;DOf[٭9'ʻCm4kYb7uS}v: V{EM2֤i5{vp @M])2;A͏V?q?qSmmQG#=^z 7_<5^־Ѩ j!p,˚ie=kɓ8bpI$ju@>n}`Q]| ~ѽTW7KAt vsPg گ5gDD19{ݳ:EU.~kTԒ=3vѦΕV\Q'^zݱ(I Hoe}S[ ]/nF(+YY7a3+1Ϻ>` Xiib¼5y`!EGL?#Ӹ mٺ YS= }C쑫ϬMW.E}>቙mDw!b7u */UcגrDLnxs(qkwRX/A-^JxfeF #FK76?}{ŋի֭[N:bc<ێMf1w6ZKQN nҟ&惬i_y׻("> Vu. ^_ J0M~7iq,/C&j>_=en˲@K~rUUGw&DKooSw.H <`yoԅeimQ̽Qfoۗ;g4D "-(jU?^a vs bW"ٲhyPڢFO PЫ1}6нt;aĦD;i9o^n_]}&wgs~?CE+N[i:x$~I4uث [YW!@ANSg;izԎ4M%xݨ=Ufg7k?Ek[ZH)#Ъ%LCAN vsPW?W71Y4EM'nlTrEZȕM߽n[D/tGu_p}S;钾cιw%Ϟ ];vܭW%75PPz?6;`޿z[t[`ܼy󚚦nɒ%̂VEPHe$|lWxh-*{Mto۞'JU}uOtg~ y-Kbg^_GuZzn,vCQ/ܷOі7rc) [B#׸6}5 AYiĝzՒg'>`_AKV/ _Ֆ8b,ΝMo)fS",7oĐ|rEctq`h>xnXZJ`^wj??[P9UAOCs;wn6w-D ,%&-ieZ@D %rc#3<']}ċVY;=x~>Ԡ[o^|EOFyRpv_\wdk6n֪lbx}|>Qλq}ETܹ=#ʳL312]-У2 yˇ"k =iV&ʚ&4;1{tƞw]S[vPZ}gۆ)rk>* |?u!.Y>լzߝj]ZzBaܐ!CٳF{lTyz\UZ'4MLJI,JJ*BGL1:H1i OS%C\ xuY5AG_3nqaF ^^m߿m۶ȇ˖-sN[]_vV?g?ӄZv5 NLk}#:&IJaPteE;EQ/Q^[]Eab7 YIbUuQnW&u*I3:^1R'>ȕ*tk|!K.jݟO\nZ ѵuUִyցj&xU?:[g\{[G=Ehw[vC/čǟFDygYLӹ2=sʅv;`PYk3K2mCPyS^wھiۙ&M/设﫩6uiNLbxnn[5}ZzCqR vq?=NM^L!vxdXאr\{A]Ů xbRǛ@SC\YtE5P ?nᕕckS/&^SOEywuKKܟqM6E|ED폻o5]{I)z QD̮_#w|?|V̵kN0tWݛ&@ ̽}7.zw7yG'_^lUӄ ~}o i~a\vL߶4wK#,o*x3rʄ:f-S;gJ"W9OvQu mR?]u58IH04\Es8Rʞ\W­|QL ?!Fؕ@Teuvstz1FibWn*تO](Ԙ(2-rw]7~Kv/4ދ3eW ]6W6+W {n.0IDA&ѫ~T2E`;z4 iʒ"77L6q^tmÊ #fmqүAA=?şʣʥMYV\=_{n?)TڂTfYݴbqE9s4 &$~^+6~6nܸ-~ Ib5ʰ{2;W/wFr]t;ܙgN;4_}k}l:eSO=՝qsu^xKe]k޴Үk;6#FDuasܰ1{fn}}Sl'NLW|ٕ} ˮ4rwv?rtOY3&%Zy1ʫ%$okK.q\pAT>?:+*'2=̎}sq~TZ /w~F%MiK~̴e?T.FF eϷM{jI5{rE R]-2Q̮v8ȮsWܾ~/eK"tprn>+ґZC%ƣԾ~DW[hQϽF5uXUq,#k隺h"~TH{m4[\{E7{{4jY#V*V(DzՏџ01hƈ#=SU iW63dBCOT'ӽX@K[( ξfy ߳n;G^o;y\v+jn}mٕsjۗ<jXĸߦgEo\6]yj]/n槙f8%-^?w!{*v feZxJSiTeRw PŨ :@[ ޸t6FM_.QQeߠ_{3}gq=ղcFfӼԉVGv5m[ %^6a3NKk} @PaW崨$$&L|_?uʰ>CQQwŶm>QXD;d> }xڴhkZ Vݲ7zBl?w(]BeBV*|FghxUV-t uUL۽kA$닯3j89tL|W^(;~w3S''lo l칒ԡPPBu:/yLs]I$Ͱ̪G:(7U)> v/{7?GSuDBG7fLDHTv5siᶾ4&-wɬw|5Fn3eˮ9=^@b\+/y w㚾wڍ8KXd?,]6IJ2AnJYhMǶJY~$4Ͷ"LYА_H*ӧy^Cf}OQ]IϱLsmFwR,V ܲnCcݎr{4n7.?'{'ܶgtK2*YgI0Sq]ޫ[slJkcQ4c }{b(spVt~| Ey' RkSDoZ3+[o=߳(zZٚFk3ӖF$h1na/KY c9孞 YԗBĮEfBh<ښygI߬Ǖ bR$x AM/%13 7Kw0(Ou֚M|ztV΄o_^_޼ ٶ=;+9WMb;|}Jjnb|D_4j[*7j5?w zoyսg[T+j3%ʟ|qmt"=kEfqo9t7K^_ ']a"Vb6K`IӟW]V ' fM#n~8Q #qZ'7QnNbi^ hkQݺ|~+r"7ꔗmVa;J_"o>vF) \= 랜 [6Ii2'>^{æ ˖x-Z]9^S2-Qto3 N:X2psX>I6N(˂/ݣwwJ~4a;7=ů'߅ YG3ĭp($%Չn5PƖԷ;i^y,?2HS<^h dy-M"d< xwu"Mה/%~Εu:M8t<-2㔯qctnUE~ȈNqfg툦=+Ʊ52mfZNNYӼV?Y˳h=;~G/d}C=Kڝ׻V δ[.t럜Kg>ui%'2gF:, #c NPIqokk*' CCϋ[>A?Ɇ'&9v~nҶ>ݶTٻ_UHF~/E;U9n7uoӼ[37>![>z^L<2Bܸ`rn]秓w{/6S޴k{ K7412P4'd&T3դzwGW}R#m-`JӺ'U^}Q`Pk. #2 ӱJEx'7|kku='*3f*秷ta7>2(T3 2dm޼l߾uQG/:thTP} 6c=6]d>HEoB{#fvX3Zu5ZYۍ(?T]p=^Ӽ^P>ٳF t~Hp?KIs7y,~<:V6B(Įn\ ={v'muF>V q9htlhr\moGjN匕} CZnֆGw^R-ޣiߴ'Uƹi^:~:qoW"J mS4tW`$Bz%>(L&a4)2'ؕNv?).@sU3]6xS܌ߊl}[Gql;v_D"v(jפ[5 t ٢+l!- #,&Bt)zJQ,IcCe+>(UZ5,b׮$۹W vrP3uѱ9v$@ Ҿ'|3ik}6+6uΕS2OGO34ܐ*I^/!VMbWn警Mwc*3b5aS3[㵨~魾)ό)+1웒96 ,[di^nY幙VvҥbpC5LN"@쪜8P&ݹsή]z!1$$_~S})Nv-;iMY,]E?7gTfaV#NNy=s%^~ 㦼kkA,v,~<O{} &Ǧ'U?sN-p3.uִmѵ`ne5`U}K9]r\4lӡӦ*zH~5Uw]qח[e}+3o}Hch7ήlƲg܄{vFZ7EWf5.L^&vMl͐Dl\xI6b _{hQkˍsB&8/{˺_E] "i^w=ZFuaϖ0CabJ3_& V,~^W&n㊚6.@~n_{VN[~{ ۾٦.9U/F=kfFT`ϘLTϚMm}Bab,bJUȇ:}h!@NnǷeWZ#ށFwMH4l}joC~cFwҥ۸Ĩo&XZ]v3[4]|-k/cN#;jضMY\~tWi5-lo{'+}{=F v2~_ǵkc9O!gS{=ꫯ]v[Ywr<_95ccw-OE{7"o].@ vsC.nɼӆ풝pBw5б}`m۶d5ۦ2@y vsĮ(3<&ޱ!$ۍ)tpzwM gpa;oƃYDZwsw]ų:&pk ]~hl1k駟هWV9=_P`jwuS7KnnXݲYwۚ磭Jwo/?U11'DӬyc͛7+WQӗNsڜ3/]^-_mܸ=#瞋Lc1cƸ!C 0uaذa?caǕb=$Lj̻wv;vp֭scf8,$+*}:^{W^y߿},P% C: ٳgξ}G=@yqǹc9ٳ',qeh:DN4jd,**њ$x?n.۷owvr/rTo}ѵM#vʥ0 ӸNBb9IxQGÇGz\ vC.ȩQuDĩV7.EMKߎp.@w(UZĵc;.IPg6qU] =rW"t£T5**Њy睙+{*3b} nGNsŊW_ p.@*vΝ]. vU:5zӦMQz֮]#t¡4δbi8.v[W؝3gN9q0aB+"ǻcF9]xsugq;ܯ~+溡/>S9wK.$:WеIcyy繳>;J쬳ΊҮNaaś{X.v%<Ͳ]E]"IԻZ\KIk-G Dt F-Dr\Hr v:ԶD}Hk1nOSki5ime[ 7 t pkB7M&nBVJoF box:U(p^=wLSصδ)yW&] P#Nm֏>(2I;.@&vMlfI&}z\ v%.xCꞾUZdȭ"]p$]E\M3?&M%Mz\Y vGNM&AablsC P&@t]ZTآA$BŮVk@e^? b7 l9Oa~n@ vs6'A? b7 lJ۷owGu;cis!CaCu}Y} 6l1ܫSaS3fL.jbw$o>wGq9gϞ2AMbע'OgbWb:IÇ<aSص֢͛Ů]7iZs{ 6]n"ݘʌĮk [.@:~_nyO?8 t\f|afA0b7sF?ޮ*u4zudgMV53ӂqfZ.J:l-vnFv̙pN&L9aaa3/tO}{Ro;mKebn[=[Q`_?ujhlnɇ#p_9d' NMӴݯߟmO[t4j%v9ٍ.t[>r?r}l<7/ٗQk<{o[6ln| mf. .t"Ibm3;jk\;N@SmX0Rz-MV5YT"vM?X"6{_ןtnNčb2}=+K_}iy,(DoOݸ[+jKםtx 0d;Qo\p8Yq#ciYEv[an\]脇۟(&ڷϟu3C}{6 YiϽ S݌ b:eoH!%+?wC}IJc۵ac׶F|uʦbWPEPζ}7/^;NwsH.>~qGKR$צ7w;u 'w2wEK&`㯦bUiݵe쪃~o7"&`}k67mQrB?@PA?@|qw n@ vs6'A? b7 l9OaSݾ};ꨣܱ>O1l07dȐ]#qe1cr }>z9tw;cܞ={ϲW&])TZuɑlGJ$'U>< 6]n޼i*vC>>k߿?qYv^aSiWx*bhwޙ鸲2#v.@%vgϞ@bqE9s4 &$~aaaXL}=,AQ~rյ6nܘ,.@!vm%f,7x#q 6A]69>o 6]~6鳤o 6]C I4=$*~n 6v;wn$P7oI@MŮEe-.@t]3+ bB剗bO"?xX^z{{c0(cwαYIb7 Bdb-{$-F$vm rB?@h䀻a ﹙Wzt7aÆM:NB7-ntĩ"s6шvb3܌52NL[ZցgS_8.vSqE~N}浿Hio ޿MZw7vA?@'(R$&;i+[vRdV5K{آIӒMJGIi\n'6(&;?/?}-Iݍcb6M2n'EIش}uM^ZltW"=NҢT>4fA?@'cb2f7ܕweM#3(/v吁~Ny-RuSܸ;NHɋ&ӎݰ'G]IRbW4[̪H _Y[Ҝ).8n-'9)_?sNI]a2-L&sSoIHbF"vSܨǻKobMY'^^vg~"VӴ^&v$i?*v;O vjl_T,24W]Kd;;"S]ĮM?M:V"6.T}]r;) .@&vN Tk}+Ob l Ym]صl7#E]-8Ս 6]~n@ vs6'A? b7 l9Oa~n@ vs¦p;l07dȐ{?5Y>}G=@tK#ާaS3fLܾ};ꨣ?I&ާaSصСCg}i]iY߿G) .@"v[EU~m)YϿ;;OQ v.@*vgϞ@V{v3gN9q0aBaa&Oܯ%y-H_g }A:u 3H_g>ȇUVmpT7n}"@:u 3H_g }A:#A>Į}lݧ(B/ 3H_g }A:u 3BOC*H슴)ĭ5} @:u 3H_g }A:#A>ŮM?M:6ܧ,B/ 3H_g }A:u 3BOC*X C iXIUd=?qeza }A:u 3H_g }z WY!b7+s΍͛?_}_aB:u 3H_g }A:#A>.v-*H, ..vnjӕ`u P6]9s v@B}]Xl9qv[*ٳw -}b!{:oذaMwCu}Y'/'U.QLb-K[!!5to};n@ڎ9gϞ#%յ|` xZU~Vu}B?M*CU"i[!4٩[g3lM\b7M܅P yŇmM@cU#vB_i#t1Yu3bԥ YU7fIHhq =}P7;?Ң{67׎T9r,WE uX}틷*OCO bԥ!wY]ĆHfFRE ,_,IG tZEDxZASϐnX1"1\΀'.6%͟iykAJ 2ߪW`K_gh?#!5(I%n?tBObBB/8nUVġwD_i3 Ue*Nڙg9!?!֙O^X~W:h'be֬r@X/ f&AX v+$\Y:SHiƤLB$u諮׊ɉ@Phz'PP>Dnԩs گrv+f>n;{]Ց$n,QVPʸiWU fw!5PQ/֪;$hê'B-Y`-.݊Q#CYS#ں9 񅷙^T=X2Y/nUʿ:Sս|T?}0-]%YjY1QGg4/Sg V?1B(ɪ_*Z{W2HUR>H,/nEXal&v֋:]똦E,T#vl,vV_:!4ob~ uŷ[!*&vb:,#2|Cח,y7FXg )-Cߪ;+`dsB.6d:Հxu寕੥*QحV]7 j^[e cF<_Ch$Y<3/t?4O= DSȪWUoi\?=UOZrAB"Wu@Ij`}ص@R||3rU|ZyY4VuLnW'1$/ bbB>V5VT92nUJWP1*Z3Nb7dtgb:HoCa\f'T^2akbU?Zdm(n.6&UݠJ*YB,ơs:UU>L :):!]Wz6,BL~@VD]ĆuJq<:S>}R.ơsZ *{B[`$x]PִyLR= @ v+Q Psr|]8Iˇ'Ng]nX&7}s2^W[[[zR|#jA]@VDbWxO~Ƣb<"|Y[zbWTUC/! =_*v$$MZ<6w3[ 59'V`t bBBU4N`s(Ӭ*:q#-U?~/ Vա/gJU[Q/4~}a u0!9ʇ4I(xϣϟ_ 2 W2b"M*U)6L@3W,7🅪gӪ;wq;OO `iZ`PBO_$寰9Z}`@yO78݊ M#vAM՝kL%'!"Ʉ>yOߪ:`G+9T-)?7虫>L q#J7$8̀AB"X$5X@٨ w:W,'ax|HG 뿴-i3,V]>aV*pRlϟK[MC-/l(XJ쒿` v 8F $&19msy:!Eb(*xRdU>ʿЧiy'?i?ɺ4@'җV>|W9aਃmaRht;VN 9r!\Qr:#K`GYL&- bBZQA&(?jgO7Z:&Bҙ }0"!NԳfiw1~Hho VbB#Nqh4Wksr3LڈwܪcȑD( *,i`FĮ/Sݒ*vn e3|'qE(͎^tY114DHu"mЊ9'KS6zCz$tz l3\eg*KYbw!<!7\D:C0VR>=TP%ڿ*!ЩSح,#]:+F_3jF:ӪÒ63Sg/B9=o!_kՁحU~Qud#t1Ӫ%oӡ3_G^B'KBl1[3Wu8{Y3h?S aحV^ aA1PI)9!v}LuN+^1G gV_7Zn4WݿIu+X~!,jdUcKc:qZ]a0(n !K 6oI*{i%teu*]hIbܾXvb"=.|>t:a;&TY%/ɪiM[RuYt)? y@++ح:VمN t5>!3]9Zay4G%׏.q?e*}zYBV]"Oe'mf/Y;~t14Bg/ ۏLcNH%*Uo־.v!+.QGk$5՛n:VCYNDWe)UXhU~_մz=[K>Ԝj.]q*r43ؒ>s&f0ʿ [\&][OeiVe,!<#!SGrg'm:1Iȇ@|[UYTګ"v^ cT&|* !,wKgI>ـ<'R;i,fU|R~?9Adڏ$` vI'nzgW}\\VRi1IwV^2⟪Ů(\i%teufFc[OYݤm"Cl1ŮPZ}BU>IJU*/b``F?C":UO lQ4=t"Cٳi-M$,<6~ b%K: 0Hi%6 V!)mB,z-X|O~2 NxI[bcV'4X`_@`7}hE#g1Y@ R22OgHڍt+"}u:JnyaIRziU>&IqT/V>a[UʿVUʺq.@ID;bb()?[u!c!~v-i@?t1134.HL;oV4dĬg2{ n=HBU:*@Q 3YH߁Rg1L &uT!_db:.e iIrb cdU%zRzC輷*\UB,0ќg:&|[ꛪ,|_% UCX vz#ٳΦuJSegUG^Ve: J'?i?ɺ)R>|J-fb@u; 5BPȐ|ػn>u)L`  c%r`UInb 7kB/4.EIB|wVgP >] *"v%E=L^[Ud?C q1N,@^>4kl\울Z ̖4R+ӢUg33 ]%KOVUg"Ii FP>Z1Uq}hVb4"v]=LR)Yn՝4Δ"-ΦEdL1/uxg/>6..2rŤ_Ʊ}]U4SNb7)2^`Ճ.U`귤Reғ&&-U!3NK; N=Ho! z um|B'|(*7ˢU! F&13L̆.6x窾EḂx'7:%-뗇?Kg٣B@Ynb:YL] N3oQx%3K.G"U[\ bLjwRld,әOGmtWU/dG vu+4/FbZA9U)*TU9YҜVb7ȩ="]o؅V vzV2.@ |,ѡzm!؅V vztRDP}iG2Qo)t$؅V vXѝVӘN'@1 vkZ~0XN@(IS}?K#M?Gz, 4 ЃĮMcNJo,L;jIt~}؅v@9V+E!vIthp_JA^@YRh?@I#;ŮEzH@u6o` vz$C|sʽILcv@ Iz;qa4zd v5'iq,VeUgH迫+7,@p:o]Ӌbi0Xa2 vSЙ bB;b7>5wHP|C  (.tVӘa  bb9*#,@.Ԇk16c3_X .L.@`44ln&fӶ|vl2W_ Tō V6I5 v&EՓx'3Y.]A E."ԇx=.v: f`ESMˋ ?]$~ KR*U4a0ce$>Ō>]aVb_=II$/FD vji&֗)Imөh bfdYwv察ޢ d`&if_>.@ u̘ J4fy "k`p uHU܈`$.v-jb Z ]yħ1'jVhN|0(.l >]@Ȳ2`؍o b A| v@1 v*"i,<ATb<s v@@ρ =bz.]9s v@@ρ =bz.G] 0 0 0 0 0 0 jǏA>G}IENDB`NDd #}f  S .AChart 13" PK!τ=@[Content_Types].xmlRKo!7 \A=4Mki@uiypUhzM6֐bt^i,DI)an!n4H.9Z<-#ep[:Pd띓v޵R!-EFqDJKP^,R3o`)?I'`LZ1( >j]&,*&C_z.s]i1M;9nYV6A7OXX:k'x5ʯ]G-́w?PK!8! _rels/.relsj0 }qN/k؊c[F232zQLZ%R6zPT]( LJ[ۑ̱j,Z˫fLV:*f"N.]m@= 7LuP[i?T;GI4Ew=}3b9`5YCƵkρؖ9#ۄo~e?zrPK!ck 6drs/e2oDoc.xmlN0DHw4(Duz8qXuc)cڂ ivv'q N.xUקD NOJoo6Kc (%*sI4cZH6q)yuU5r l"M)p2?%_MŤG.w}[79^hFK_ԀŞ(="QCIg@N~&Oe3M˧b3 ٬.|wPK!fuq drs/charts/_rels/chart1.xml.relsj0 ѽVN/cSaJ. (>O/?ObP uV1 1f]O. R3"f 1{]jGLڼp43[0*{qovg%OYqC&S*T瑊)|Ov14w?= Boef wWPK!F"drs/_rels/e2oDoc.xml.rels 0nz&ЫXIFooЋqvov1ONGgYqh{كYRC׫La,Ų!F@3r7DQ1eьf֣57g +5Ǥ`""TB%b !ɢ8z߮*;b5.IņB-Tw'@a7x|ٓ_}w*!D718fZNF|3I(q =9S̲8vt; x}r1xwr:\TFaG*y8IjbRc|X'I x7"{ ' $! w RuK>V.EL+C2#fi yV vb{u8zH *:(W☕~Te\O*tHGHY5KIXieE Ed[8h(QrC3' }'ݧm:& D\^'ܩ11TpuL#nF#n_?mMXzfQ/.}y O= 1D#wyQ?_<%XZEFlㅻ1elܐf-a 0$)Nai_u' l GTEi{ZH(3ѡD)pX4Õ565bCb;F!XJ*ZΪlJ&|{eumԙՍim:P!/\"A(q^f$q9bbr)s~nʜ##}p<%j%m-- %IeuI e lG%M8m{c8'8K,$_ [6.ùcn}aR!- *+hM&`YYqtSKcrK#:v1R>QD DcH.U'; #6\rΚ|#fpv4; !6y[ƹbZ\)J3EHwJBEX(q0 AsVik8D}"Aa=R dhT)eEL2f!aĆzmPn$;YsAPor0Yw>)͆&ab=veG6wMιZƚxY Q wHH _0:~ l/ٍiGq(l뤣/-,>g͙ŋ va'vla!'[A$%l/PK!..drs/charts/chart1.xmlY_o6/pA З-S$^l[4 l Zm5OC$t})P 93xݚLh!EaRTunߞa*TMGֆߟ\Qn6dlҴrL\5mGbX[ r\IGQ:6 oluŢ.Qn׬QF 8U`vUo bic=i4+y㵙bT ـrr l5ӬϲԚʻ 7y;qA@{Gp%kabg>3ź.hB`DZCCo1x(3Bv?-|N;m!'МOJ.{̗hr@`Thz9Uw0e  ;p3nf4GV14`)3HLfR7XR ? 72VFՊn߲.Wgd.+ ުmag6WR⺣狀yy%v Drz#7\.tbV/s2p͚/h7ށ>ن5g aypSGUUSqp4*q0ddÅ:jvԲtKu#(Y8| ..#8(&dѥU-4Ľ>9?!ZnhfBڨevBF 8m4Mqv3Ӭ66}m;Fvd8/KުC.Fnd.H5>2lK@Ėf!k@K,C(DWҁ%V9[J%zRn| snxnWkF ibBF9fEۀK!1;jHiKKb|^.א7eJ9aoYY3Q@{ l/`pL3;{WQ|۩{-Zϵ%H4k;-U*R%ѥJuPK*|)ؕd|Pe9 /V $~T @)Is /"PJƺzrj7kG1t3\#-LGQQ@ꆑO>iLg-!`r0wU0Ia@F͞VjXP 1_GJ}u0G 9XKyK;Cq#ʯ(  9 TqA,m$.Z! <(:cAg@|\`.?ڕxd ?fW A?USϨmY /_1Mi(MS]ǖOJrBw?nJ0F{lBGjހvm~4 wLo4?U&iѯ<]_PK!&odrs/embeddings/oleObject1.binp^RЀ3ÿ lH@6PF@Q0B/Э#3򁰄A!H1T1@% F=!51GH--䇲PK-!τ=@[Content_Types].xmlPK-!8! n_rels/.relsPK-!ck 6mdrs/e2oDoc.xmlPK-!fuq drs/charts/_rels/chart1.xml.relsPK-!F"drs/_rels/e2oDoc.xml.relsPK-!8zdrs/downrev.xmlPK-!#l'Tdrs/theme/themeOverride1.xmlPK-!..y drs/charts/chart1.xmlPK-!&odrs/embeddings/oleObject1.binPK `bBeE=i33rkpSnhBeE=i33rkPNG  IHDR)sRGBgAMA a pHYs&?IDATx^Yř+b"折icwݴ 6Ʋ1!XBa$@$@,U,B,ciOGN-NU' T囙5sΙaaaI&0 0 0 Â,,,,,,,,,,,,,,,,,,,,,,,,,l27nܸ&L`x@@ī֭[W؞xҹܢEɓ#>}z yug?Χb"/uOQKMwd7w)> , ;YfpkҵIh-T b,Dhɰ-βoۣĨהIL{.2]'_k>M , ;Y(tX˓|Cov$1 b qvE/%:8*>kzΧP'Yv-W\~t] %(Wurb^l.7/UNP~,?XKkdzk/A?g$Ҟ-QHҒgGNi'?GK8TZ$F$M-)ea)[; f 8%`|A(R$ 1_ Y\ -I7 ,tU\ My'"Yi1ӄBZ2~fFRT(uO}ǿMS0v@@& ,a/:$L$Ҫğ"~72E-M&.+E-j(S>7%LZE<ң4˿Np}Ĭ~=MV;~~+mսE?e c,d hM"%2 )ŕw|~ -}og&%DfKUZĥ!'^b~7%巄?rS0v@@O$|X$ W&qPK¯(qq{$0!dNQD. ioZ$3 ,IY?ښ&dE)ϴl`쀘T$A3qEh{SN9%UDBӿO{J/+GޫGD"v2fiIb֏ol`쀘T]֩ȡ$jKI";ip/Ңib-)ZhSe!iקsR<%\-V-N5A!U(&j8p(*睥EŬ/ִG>~_z-іAUiV|YbV˒^Tw?e c,v*"fBB{"Dbc2;ɶ."LiO;HW Q1-MBp,?u^wME[-[; ft eA?XQ ?7.eI1%>>TfYRQ鍿~Gt ,1ykpU2bV)[; f`L4/W"v~DY&KX˱+2TyQoEle c,D¥KNIj$z]=OHL'(ɒĪ}/N]52-U^fJ>k~g*Bt?o}A[F ?*P7-я1$1K.n^%q帽SN|c4qqNS3 ޤ辽㛮KbƗ_'DYH/ړTo*"f-[; f B0 2Ƒ(rQL(Wv)hVЏ $^Q$q%^BO´%IhJz=ߦwYT?ar1R[j\lҲcˍŬجZfE_l ?ٸx-#fuopEL&-."fmbv̉矟9aaa|{>|I3+fC6l?SEfbyl@!f1k5ʈZ_huqߪ1 ,4jYi1 ,Y~U"5.D,@#f3][RTī]>Ah4X~$Yf]̦|&RՁNu>g fv1; O͂-,O͂-,O͂-,O͂- Z~Q1[ Bwp`Q׿Xي/EoM{~K\ ?; b;>rxۙ}lٖ5 fK@>@cP~wvO?}c[F=wO͡Ň%(0Q}?D'mʠ{{}azw?aT~O_qw/-rƍlӦMO0aB{C=}'u1 :cgf_OZ>}=w~/-}!BA Dٳ|]Gw|Q;r!n׮]gy$|(_c ecgfQ7HGyߝ}vi̠yU11;yHl^}չŬ$F7o: 7q^7H'kD*wx,ABt ,@:>z#ָOz]O;5|T!J*&*Ν]j%f-:~b$ݛA/7.O~%R%(0Hk 8vm }֏i'&}7GNw;ukʹOu{H&VF./l;Jl\"fGHkD*I3X#-T؝2ok,ٍPڶxw;:,@:i#D?2h{cϿNzKه/Ϟ{J}cz,clRbVK٬ ,fNܦOyM6->MrIˣƗ8nL7u=g<Ćp̔yݺcgSnvǜ9kQk#ϠbX??>bMm(fiPc,̕wa[&4#iPD*Ic 1?:<Ǯc-\rgxNm*1-D?O Ak][^r3n}{Ͳr?^>%Y>ny:9V-*3:SuEQ+p?osgR{OREfbV;mذ!u!e KP`,b?tfP^Ungjiǡ*z7V~m2?~Qt,h /dM?%};lPwzNʹ>嵷MZL]g;Sx {E~Ǡ I%bDkZýN)vޝߪ&+yv^HtaC.TO5(krwq{ pN&P_{`8r>~⩲z_~mwZZ_vw>}.i<6嚄Ytު3 ?wQݣeE΄iWmt;wIVF l*i̊%y$)mPHT0Lw5NX.yVrJ@[6?ɽ[_vOgPF;v}]|c랈\@Pċ?e=Pԧyh_vwErL"zMeM.N~?=* {pCO/&ඪMc/p}}޽[>lsݧ_k#nnҥnݺuܱc{tAщm]׫?^bŨte~Jis6qΖ|SyƍEWm2y뜤`b6"ˏC{X'N]xwbV_/uMR[Z{? EcIoL~\y,AVa} K/EрU7DQ|˱3}o{y})w][y7nh \5UOu/Sep:95XާwVFuXm֏iɴ:ZEw"ѨTZUJ}$Anp}>Ss?|yw{X&<@it}nSa_9kMW0S~9gsoWmG_Mfw&)`8]ZTHjդY5 iv(밖7=W}^3!WV(RY2EPMhXYsy?Y1:j+>ځŢc+q[]TPNսt,߷ gpijoMX8߻eZ塃dMWe x~{νQDm>?Rh?nGW)~悇-qO$ Y |7ܩk?w|'s_v7}~H:h>;Ԅ > 7w䵴%(yL˘uXA@+>ڃqQu:FU;v֜*tr7ֺ]2Cd\N9*H_V7d.c;4, f\?MbSTw^A;H!+ʦl,JGH/]kآv1; $RZY˺ ;Qٕ_q}1٫F?uZ_hoC!(iwU在3..ɴ$gӖ5l[D,*7DxG?)5Aܩc#gۓ/%^SD>w\Njֻw \Zd*S$׼yC۾v`fAkڇw7s'aK}T/|rWo*ɛA'71M\h`m2`A̖ M̦E*6n5._OY.^rd$\g|"K#٥t_zΡC̋u4U8'ZJ,Qiw=op[.#=$o;+>ڋ㬻Y򲕵9vyum{w#'f~!SeG[kݹ7>nذ+:ث;*8AP=fwm١m2mXv^I13ֹ=lѯgIGg$r֬Y[}ϠNVښHQ_\ykQ') fK&f՘"jho67u":kWܥ+>?ʮXoߦ-~;w%,u4Ԓ~f3cзsMO7SN0◩W|(ied_-[]cׯ^NI6ۏRT}>dEw$~{dzY+^{OQ=}ߞ_hyЍO=mm>:}Y+ ?Cm&-vzKi[h+ Ꝫ1n+Q(l I)P裏u]nΒDҥ_v/=|]߮X w޳{5W]9"VW|]xnƝ;f.E+DSꜵdYv?]p}G=efMEj9SGk)^YꞷiϿQ#C(!+>ZڇO0*lUl^v-_Wud41&>2U0PXA\+r>hP]x&̴7jd9Ν;+_(y1[^7N5~;d5]'Pdɗ}6.#wݖmg9_AH\|`#߻\HT5b=q:89.{/4 Vp֢C45jIǮ6o:--At%}o!Op!W.}"wuJ#*&i_kz9= AXQY A/[~E~ڹgoSQjBh\w~%'kC=_uYwj5zQwF 8m`>X͠5z'uNʚrW{z|g@t%(.9CeOn ?|!ۆW|@:Yu(T]m}+!,2} mp̯EWiiz=oۃ/h\ ]up[X7,#Hoxv/,]VuǺj׋byIM o{oo9~V,~ڡE_EA7YiJq!;qt_jGz^i?Sh2 fKPDj6Vv7˴˖lEhW^xyЀ88'YRRXgoKP$F)\k-ϣ+覻{#y գ:@-*UV2௳,-JCUm(PCZN9=ywuw7l/*%UjBF}DLcrF>΍^iiS{ţʻ F4!Y=#͚ž_H^pe/DgW|-p;wo,ܐuQҩ:'zPRXNMoKP$93hDmm ;F%^MXӫ6 ӫ4>Q.v~S{cJμn'ֶfeR,ߤef~Zf-}Mqy;i/F}cC:/?ߴ==Im nF52;u{_=p'r>*[yĊ$,M~lz4'#hMf]yĬ\5Jxl<}CЪrNl蝢E}WzEށ+dCrvŋ{M7nVdwYnoIWK9?1-į}V߳V2ܲF!N3h*&AR-cKU t3'nӧO?iӦ>۝ynҤISNDq~򓟸pstce1J 즟;-1}gu2e;ܯkw'c=6JGv]G/O9+gE(]^3,~9uT73%g{z7{~=cϚ͛Q ϟs%QsvVMշoM֕iEXr9餓 '~St^;:)sV؈M[7eovڴ7Ӫ;no?i7>~5f+z}t7q/sG)mQ<=u/3Τ Y\tO%ҵXf:bWɷw ˌMYfC Yn-}ע4c}h9֭[Hf{z-֌?Sn=GQifܢwfY:O9[)X\}֨YA(ꝴ=m)݅w)r4TOyU.Z:y}#._fR7}IY ,?e֡P0T(#ӿi7>{'ynjA4 ^纶@=ebPY26m(u4jن+i g"QQg}6Z)H^twp,,oy]ŢƋ5t>twН{#?}Wk/p$= ϟ_yVt~_W^ZVvXd/}4'_{r֟a֊KW|~]b]iY~<7S흲Iyh[?Xz,e6HtN?\+w݆DvwK~]Qv}oiYYHzԽ;^\Nfi'~4f(Z*Ҕ&hCYi2G~mQ}Q*T1^@.fjOSwERbeS|FAPSħDDVwe\u?D^^uP4t_WTڢIbQW+>*Bm^uVmyzEn ܴ'7,:>n>ߛ+V|u>͸se]h{''*T<)&ֹXUE| -m}K"d{cy|hrK=T/ Y ƅ x4sMQݤʊ^F^15 ֘{}sZkWDN7$ K'0bkj3/YewmM |tM^Sՠڏ2-'mX~OI3~_eRmH+BFYQy[X[f2T"fLOߒ"I41_WvsI -nje-~8ZFlSOrt6}U5#ĢgyM+՝gy7C]vWރ ՠkRݸqրX>#[ *#}4mH+BG]-=06xeL"IB ԕOE2ڼ)Wo_}/2{e͓iU,~*;Ϻ/ãk/_m7~w5jN@Y?jbޚimCH#3X]1CGbU ڐV~~ů{PŬEU댤VMbVU<:$H ?WS9(%PŢgEu n>]wvLNZrnS(Iyk`$3RAgxQ9ilPD&c246FcywKϚfvT/j:Щ PŬPUב)k1G ^%NPb{an>{[Έ"ݼ/ >_I>ڴ[V%0^sf3n}se>ݪ}Hԇ^TVVTvB2<-=&hCZi2f%[wl>{m陵ݏv/xe]m'pzګ{1XǢsʇ.:(*x/G'g yL?pWpkoݏ_V'&+o~N[hzigDϘ+vg^vْ͸KއB^z49 竕P9oʃnWF 3ظdMZ2Q;g$jyYMko=M>B)"1[N/zNC֩d,ه>hH+2b7oעLQm{oZ{mxd۰m[w-i+|oM{E+8Z8,0wƼOs}o_s']}vR-/uGsgXj ;t'w&zExmQx$WFmck3hEroSh $'Du-AI{ұ[kU{$`uꂍ#˖ [g,#ܿ8 a|C~RpDt{[ͼ]Ɯ׮^}}YѿUDg{]~ I_ykCetYTM'E6B:zN<|+#FVgTxqMvFTeZɴzk@N-w}EQA0~>s U+,7-AI36섽wk=K+>z{z=/": : iuMеTY˟|Ik׺vmov/i9%1]d|$Rtɽoxsu~T?Taa/rɳϨl΋& ۲h"/twyÖUm~;*bl)jkEװ1&R i ZB ?: cl !o.ޙ Y޻;ZM{bQtG?y^;vl֭[/_,Yw4]3oqi3|ٷ7/%D׭}vT>mm+_w~Gʤ&<:P0£>B0~[ƣ~[,8:mG3i~%ȖG!E?vV7}d}U 1[a' A{9 <:PŢеN<)f͚H*yu׹͚5]z.Lgsuw7xc$WZ^cuO4.*u/f_~(m۶maÆ(Bz\bnчmwv֒Qƍ#*^{Ox3}/̐UNUNBHetM[ogw__bQ躴ҷlٲH*}7p[`k"a+ӿ%t(}vҥQ$8yk.gϞHK,mw{O _|13<~B{qfheNF?|Z+ 2nh ?|Sݪod߶څ~;a/2btg^7jҳW9!WjLh )YlL_(pyh+bÐOZDeyOX,TVR" (t+l޼QM6E3MH+ZCEi߻woȬ~S+xHw[Pi~P+aC"U{"q衇FV a6 5QPf{~4eQǓ%.J, ]^ϧz*;wFb7}f>y{H@PytҨ]Ѡ1}q6s](wE;>2 i(: ׸͸Ε#ƭ}Fև *j?@P{8YEuآ*r`cm[zE@[0/:=AE?2+}uɒrQuɓ'G΍$4Z9|(QyaC9$Z&*^7H.f{7gſ^YIGB^O=O ~;*E(V3ޢf2iO%ض>ByE|7Y+.[2“ǴW@訽O;;7w:[AcƯ&h u#fs̴wG˪}:wGwESzٮyhW7jwhsBq*I5MZyA'FAv1k4?*;X<6(4J:1}W)&tf21H_͝mͼ@yrQ:lDq[|] d "<Z;]i&ǘW4V,uvݺFmq֤ڹ/fң){+Sm$o{y3ӤnV*)ݖntD+ۋ&%isǻwmE v]<+{H.K8KŬ d~Tw|6І,]E~qPËt۪m;l7V*^y ק ˗JN'FnzU5xg}ʭ{Qye§R(!% (rF[j7Z\ke߭NE:gI(b]y n{Y@Ŭ*'O*p\ zqŬUsB-*;PŢ}7Ks+T$]vw"&CzTF?ry?DK}{̥WnŨ)crr|7jܗZf3_Gߊ'A90T_%VBz=JhOglߊx}G[䧕ڮڼmh[z^s[FUeU[ʥ$^9ʹ]ս/̎=*vY^aib6ͺ1u(h|'$;hfEnYkJYN8lDتZjgΊګdsrLBibF<,SYi_ݫߺR1gѢEm2 t3'nӧOOٝxcus﹣:y=Mڣ>?t?O 'N:$wiE}WX}Mf*٩;~;3M?Lw-w}nVF~oEX̳O bLzsѵ?u,:If.:/s3*ny Sg='=YN;ʔmvŲoK͸wŧ%RYE'~7GQk~{In<4Ϯs!oÇ@Ĭ0AlѰUEQuD?L+=۷n<ݳczd JSȭPw>Vwg_S}7}kzҖ..f򀴃TQc-%s]oU61k:A;&Yt̸Z.V;PUVKpY{8lDpWhKPY"w^39EISQ;97E<(M Vի~R{}uxYamAS}~^#x[?=khY>:)]Mv֩_sĬT_֔w2?1t߼mj+ mӈa#yIXUZ4 >#]7sXX^Yh_^QifțGOɯ w{vVֻt˶=OeUruzR֙ ϏʆtSW9mz(ҫlѸ~7Ĭ/n`lRj\HGK>O,)bAF1|*w|AU<āηfpͼ('Wv6R$ ڏң+'L6ԓGC@WE 2e*W|o3VP(/^k{UߍȊPtS;)ک(XՇtYn;:h]jd!-ʰgUybA/}4jH ѫ%Eo 0h*Ddl)M&J'-O{ݠhA:_gnնݝo9)roj7sȡOEb7Ύr^:J_ N-c9=ޡ";u?lzN۬&D]ԍȫg˚+)ѩɂ_RU>n/v*(SM زu>v*[+Y+*U䝾@Ol* 2f>mP--=޴iSv61NќtUYգg,'6Œ&ξ1wCЋ6r޳{ۦVE;@t?e3 Ѣ_36LU"Hdmʑ^rj?JPNۨ(yĮE\6|b[{~9h"ˡߤiO]Qt5YۢP{ٛ DjU3Z5mr$2 u-9?;m ƍ6Z֧I(*EDE&!F~ݲLUk(b"uZTV:ɳ_PcC<X !F?V~zyG+xay"91MTY @{ǮZu(0n-=1sX5oD8ldƙr-Ƿ,mYg=Vu?y'ƭU:<:-e)bXXLO/v[>Js~eRZw]oscX ˿m*[}G=Ӡ~G/@̖|D&M\=xqNJGUq؈h=#QtA 3;xoZ=uțfлB5GFO>H'1W,l˯t (3,ߏ-z@u~{r{K;~$-G!E?T~>^A-ʇw4A}`MNifHrBE]!IgK^tEnܹ[nw=Ѿ/rXpE- 3g7F՝Z'ZŞ^-Ւ\-:i9z8Jڔ?I@e-~aI::UģyMߕU_VE-~Bl '|_ݯ8q`MQ"gt? -,"Y3"5Ɏv;#)󺟛ޔQpDyEXbK9Z*,] W_{)ˢ_wuߖ.]֯_6osh%r,p3׏ Gxgwn,l#}!еJEc y ` fK@>gS{7/?;g -XS' Xٿmxh` z%x9Z:^a%`o}q?xtjX`۩_6}WP:ӫt{#"xx}aC9$ ,@9}H<58I#{g7g?E[nܢM'xeKr\zշ]rۑs,,Z dN(okls}WP_XP^A;Ԟ8wMHԆz3s0/ q `T&f0YWJ4'Vĉ; ,@y,-+q|a`6{Wܬu_llhygUOG'- Ⱦ3/@p9lpC-WךEyUgTBӫtm@Vi=(1}W26Q|󌽁#m6I(A2P1KtZ>8EHTv/W!}Mw&^z㏝Ԥw9Р.Aà隢N9 Cꗾ{'=fEgh=ʖ#XUm ` Tj22}ղ:#fƍER' GBt үKW|~]b$+:睱zn9Aܜw0iѵP;qӽZ^eoj ꩵ7[3E? $*f-ZTxϬYO7D"S {5/]ewG٥˾--:X٤kobwE2 UX},GCGyȑ&+ոBc`bV3.51lȊ"fځ ^4'rXUwᝇw~_klw~unնݝG|@ Be7hBB]rP7`101k'}5O~t ӧ'~aXM6M:՝uYgλG8dɗ &څw|~D.Zwʎ>s2iTdg}vTϦL8i$wiuSOmO?ݝq<̨.9̤Ҧ+M'|;ݱ9}{sGu;#{ѵG}~򓟸N8tIQz4&mfyd}R[LbɷʷR1kͳ8 _61Sc]7tDW|vT쮑OMfZXŏ੾~gE*p4~x>zZ1*LMir)j2<F*&dgQ|@iJٲ]wvґ'{/y~E$dZ^e$.C *&&ǿV"5.DMQޤ,@1yrǍu*g{e/nODg/^rd?yfN?GZĥ+1(Oeb|J3_& R,LU9Y.z]ET;x沯ڝyreKFGgϻDMV7=m21[{qS faj9'̼wDvwƼOs}nTt7D5MRjԪAÜuEtЍNmhݨ줹t_v#n$g噊FrJ`b7e,~/av1x} ACδDj"K,\sJ'*Ewꜿ-eg_=ZycўA jE$0u+{Q$B6E|uvb@>$f%0X\D1گ ZΌ fK@>#.f~arJ`wS~e}>fc(/OZ3<͘1]s5r<@n7|3: }cl '|ݻwG}ԭ[xn֬Ym$N}A9>F )S;͜9-\ЭX=YE ?O={WΝ;}.]ٳg /M>hʼq7tQW~o¨)"{W;#zc=E}u1b``1[ :x޽kt$>|rwM7k6Zv|XSop]tQ$bXQ]-/޸q{衇_{(k{fb@>$*%.%2u^#AcǎhyD7;woo {ꪫHQDwn˖-(޵kWtJ`pV41 0 fK@>CRRKni ZmՒcOm۶;z뭷믿uRͳVDg[nDRZ=1 0 fK@>j_DjyoHN;VVK 6D'? ֲbXdEd%d% aD#a(>v,zFjGžѾ[ a}WX,1[ 8&6MJJ*R¯{ߊ*kb b_`l-?&jm^ci~40A̖|UU{a՞Z[K7,T*f'Oƍ76mk>&L0zhAZv=vHLmÝ ĬaSBg fv1; O͂-,O͂-,O͂-,O͂-,O͂-,O͂-,7ovt;C|7q`Ǐw}Q&L0",@T.f'O\J`;wnd>Q~a9k׮A&𣿺|QFY^r%XN'v>Y I:cUdͼ6im/_A+۴iSRjҪŬ7iqg1 u /}iҚ E ^Mwu鹸VubT&f}%fc1bb]{gٗ(hh:IAA}ኘ6{>?Hx#lp>eSdFI)}ڇKD."PܤA-'N#1>Y* ӧ'~aaaXx&߾ ^{OK̈́UN^>yQ_LК=[Qmkj2X)fN,E:b^3FD O}|b}W+ݗNOGӲeaY4Qcl1[njbbQi+ߞxWO;7+[|ׯE-bQ:21 Y2okP,coON2&i3 Z 0"f{L2z@@[ڛ( 'N?3coemݿ(w?v:@L&R1kWq!jeeI߭{61 yXmw@ynvG-v_2cו g)dxT&fMP:e R?d[IJG;P'V==":E/tgzm]$.MթDebq=DUh{$^%bp:yÏڹ:L5mM[U_-kAl]ڏ[W bFu-#}wG&P}76mY)&6W b>t?htlR'fA̖|hl 'fA̖|hl 'fA̖|hl 'fA̖|hl 'fA̖|hl 'fA̖|h͛7:z>| &qu-yYf\N<ܳg;G}wv;Cܮ]^7HRh%\"bV"8IZwĉn f21kM6u#yŬ]?~xGu>޽{s]W@1 ,Y2+ .uݠ#f1[,@%fΝd4q1u]bv̉?0 0 0,$A*?6u1 Mܬ_7w>l_-kWɚn!",Z(ʀM6u>iYhu]7ΧLZwv1kHj fnU'dfI$a$fu 4]N< ,ATFTl nY~{흝&bV/麪]dyk(W_w٪/Htjc_[aŬO"IbKljfI{q-ښltoo!f @>@׮?&Q,c-ww|.wb@Yi".+C YDXf.λF%wUI:_f+[5Oŋo<( n;όo:mnC||1[+y l 'Ó/˗}MӉvSԮ\u(!k4m4l '$y/|2^5ZKwp\ r,b ԙ˾&;Oڥw[t#/|?LIbV }O0hʼ'~xSY,lOlYl '4e삍v= fK@>4 b@T.fB]um]MeSYfL&K6r!n׮]gims1 ,Y$&MfǜW*@4K%b"IˁoYˀ*SYfDfEE5k p1[s1 ,YP'O,JlZT\hѨ$,X͜M>=s 0 0 30|X6M,Yٲ3shJĬ)I˃/`" f1+ҖuJq/^Y-3޴iSzNR51GF"IJƅyΠ@4KebV5Kߚ$H32}Π@4Kb6/qMm1 ,YI,@.fuS$Yf]@ fK@>4 b@ fK@>4 b@ fK@>4 b@ fK@>4 b@ fK@>4 b@ fK@>4Kbv„ nܸq];C|k6ys1 ,={>x|a9k׮4~TbY*'ON7ovt8qbd~TbY*?~裏:` 8s1 ,٬Z .9Uhl R;wnY71[9UhJ0Ef,X͜M>=s 0 0 ³K.0a;p1`߰aC_ϩT!+yW?(w!}!Ce ur%fݯNNw9Uzc9}]yȻwAٖ++yW?([/1+Җf5~TA!w!Ce[<<]yȻlnTŬI?2qM6I÷&dwbc&|rR yg^|N8$EWgiVB.[k|e`R9 WyglwPlXQyjig h!kbIim Խ6ջ&hS2E"o;m!]vT}Ou/vц6 ak5hHn߉$(Hս4+ޅ@]k~ZԴ dTbSv4mh&ٚO|HBDXAJd6N0kJ,ZYiN⟍UZBw!rVA5E6ԼO,*o)dBNbABoJǭ)؜f =;.(l2#rU,&ս&KtTm{mw5QwmiD&P-<֧E7eۛၘmk|F1nM6ȚsT&:Xߚ"w!N{m#jym̚lPdeY/6z$bA:Z5țdϏπDMi'9qoZ&S#8NoH{C{׻6wi.&+=eĬiAB }-XFi@6DYI]Γ |$ULӃ/\:mm@"@Bwm5.bF2!]ȓ<֧$ɷ&]eK" f"< 5^) )mJMl;I1kqBjôA7XlVL2 y$]<]qk*oC.[,1X㑀tL@&EfluM]ikc٪dTG"I1M/lwPlCĝ'sLڦx+q%8 D5mFtޅFQaČ Imb6ʚmB$v-}_(yf0^ xS'!-mswĵ$ʚJcgFIP)"lqڛv>C~y6b 6`ʿ]y'BmyhlCwنظX!;yPlo&.X/ɉб(OiٝouMa-}^Iz~"TL"f ]@s f=xōA,ջ4Q$Ac\U5U]=f}JlP=;uI{~&yB>c64b!B2Wd݁XZV$JQSWNTKqSIVWwi'tʶm$vFry ?313 mYghBM:w*PgCHrh5=˭N,kFX1;l-mM6X,O5%Et5Tӎq.nuA]d,z&ӗtڳb0pI\urDBD䄘55@H&*\}giXYqSXM8~y*oL09oH"kޙvM,_|@X'ꌢluFҗ%deMwYid8sN7.9N! Pӗ?nIr\*1{ -&ȔO[dcy% aзhlÄ(*IlpkzuM]y6r̚λ߷ <&Nr`i'ļ O3bAByf?f.>M 6xE YlCyO.+s{Ϸx>It@մe,_=Tb! *w!̰  L8q =͌uqu/1k!;YBVVGRdoMnBz%~.B(b!Bm!,7qs^BqȌv)VbV45fm5vayb[lX&o_2Ǻu2>YaƓx0, f"dQaik2CAl׃;fqkey$:-">M$ջ>;ԉL5ARUyZ>&x=Y(fCnUm f:x:: h 4n"}fMZp҈餶`K&d)^+MiZ;&'yz"lKu.流ugŬP=\ODRYơl13fM:II V!չԤ#x, KrB| In]d4Y061TTߚm"5 ~ml@XGPFGUTrĝ$gճP"q4rבbI(]<=VX,/Hoމx=?N/^qk",miˌOdr ,CE "mH/849T\ҤNS: }o_JG$+/*iX(}߆vTgvဘ Il>Y@֤֋c=xʜ"6IfI魓f ҆HB{E/~Btm@fDqCw!OX_Zcm6m]Bғ壘杻M+AA°mct"c6dg;¡D(3dBvN,m!G8L5U>M.n?[,Q^#mS@6DIX$X;mjHBBqۄMM  g0d1s^4ZOj0| 8ܥxY6]mr]=`8zwPl3}HEB'k\ io#L#OhBTPm[%a55ၘ(t1H$^Յ&گ`iSMrHmql{զ,TCZmLԽ:m|e)` flei lY~Mn]z59l&ˊ ba,0@t&4t\weh7iMX EA6H3s36cg馣i'6b Idm&Iy2+) 1N\rXw-#feM;˟,c-1[m>vñ;˻6D"S8i2dB/Bo٤Pmlz@ZlMMI,@&c8ԨvVv}gz]4g$US3"+$6k`iW>І0A$ (9iQ0sBr)(ɨ\?ucD$N`;kUi#d ]hCx f!61kI/WuHَ+$j($m~4Iy[66MEfBZgFճ1 0$9$cҒ@|ŪuOO=Yib54^uʝ$z',,!f$)a(MQ$*'ΥVaz9HϷ>1۬add,ߚ^ 0@ 9rz^NGPeI& lb6lR'.fהhKMGLWڬ.B!lېn1 0zb6_DđCrJsTd0r~wɨnI;kueĬ&1 ͆DY1T'4Yu/ y@1D$%Br^OӎIV[e*sG*߸)/DW\l׍K??uImfCGi΢IﺰdzѫZ5% !c l9B@HhJ]Jh]PoJu;zYttQIRzj񼭋I8ꏛ=& Ӭ򯩲zvB1 lq:ORYf9퐍0^M aПEFi̪w&,uGT׆XϷrKlezBaȉ4eslՔ׍ғ?IÏ}cIxTO-hLBɚL&ꏳ4>&*`@$kq 9GXSIb0'(q򤳩yYXK#[DІ0A$m:"t$"$_ٴ MlI {OI,r$f9ܤc˚J_ۣMmuOB#).|(c,z$ Ѥiy$E,b=\u6 K5 GZSgMQg|P Hm#Ԓ^>I7}!- 溺mb"#>QP-Y'EȶE1Bd&ҬIE8`e٫ >Y}_* ]H(YD6)[+mM1 EA Iр&cs%BoYJ5Վ9i,A < r BuBN+OPIr}k: Ie2^I64BN II?,$"*-uMf[L4=%$fygjhՑLT#. f[ɜ&"ybd^妿7ǣ|j:}b.ہμkSb@ YΧN88*d"J1^ǒS0B\̊xYD:Y1 0d#e2"c"IQ#-&*1 Y fm*_TMl h Y(6NYˌpH}b`HZb[Kmo J9p`XɳwY!!Kʚgi $w8}VL{bP,`Am4㠛I:$i_%@[xF1 A࿞*.f+1 c{M 0 aˌ q$f9|PuFf8v$~TXJ cYs({fۉ_~$5V,$V1 8Μ%0L$%W__c,4N\DAYP)q eIK9 | %de80ֈx`1 fjұwOrO1 P3y! AL6P ,@d?ƄM(t1 P=YhYhYhYhYhYhYhYhYhYhYhYhYhYhYhY 0 0 0 kI0 0 0 BiӦ=KfZIENDB`j  666666666vvvvvvvvv666666>6666666666666666666666666666666666666666666666666hH6666666666666666666666666666666666666666666666666666666666666666662 0@P`p2( 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p8XV~ OJPJQJ_HmHnHsHtHJ`J r*Normal dCJ_HaJmHsHtH DA D Default Paragraph FontRiR 0 Table Normal4 l4a (k ( 0No List T@T r*0 Footnote Text dCJaJmH sH tHLoL r*0Footnote Text CharCJaJmH sH @&`@ r*0Footnote ReferenceH*B'`!B r*0Comment ReferenceCJaJN@2N r*0 Comment TextdCJaJmHsHtHBoAB r*0Comment Text CharCJaJ6U`Q6 r*0 Hyperlink >*B*phoa r*st.X`q. r*@Emphasis6]^o^ r*Default 7$8$H$)B*CJOJQJ_HaJmHphsHtH lOl r* Text body x*$1$,CJOJPJQJ^J _H9aJmH nHsH tHZ@Z r*0 Balloon Text dCJOJ QJ aJmHsHtHNoN r*0Balloon Text CharCJOJ QJ ^J aJNj@12N vl0Comment Subjectd5\mHsHRoR vl0Comment Subject Char5CJ\aJtH H`H Wn No SpacingCJ_HaJmHsHtH D`DuN0RevisionCJ_HaJmHsHtH PK![Content_Types].xmlN0EH-J@%ǎǢ|ș$زULTB l,3;rØJB+$G]7O٭V$ !)O^rC$y@/yH*񄴽)޵߻UDb`}"qۋJחX^)I`nEp)liV[]1M<OP6r=zgbIguSebORD۫qu gZo~ٺlAplxpT0+[}`jzAV2Fi@qv֬5\|ʜ̭NleXdsjcs7f W+Ն7`g ȘJj|h(KD- dXiJ؇(x$( :;˹! I_TS 1?E??ZBΪmU/?~xY'y5g&΋/ɋ>GMGeD3Vq%'#q$8K)fw9:ĵ x}rxwr:\TZaG*y8IjbRc|XŻǿI u3KGnD1NIBs RuK>V.EL+M2#'fi ~V vl{u8zH *:(W☕ ~JTe\O*tHGHY}KNP*ݾ˦TѼ9/#A7qZ$*c?qUnwN%Oi4 =3N)cbJ uV4(Tn 7_?m-ٛ{UBwznʜ"Z xJZp; {/<P;,)''KQk5qpN8KGbe Sd̛\17 pa>SR! 3K4'+rzQ TTIIvt]Kc⫲K#v5+|D~O@%\w_nN[L9KqgVhn R!y+Un;*&/HrT >>\ t=.Tġ S; Z~!P9giCڧ!# B,;X=ۻ,I2UWV9$lk=Aj;{AP79|s*Y;̠[MCۿhf]o{oY=1kyVV5E8Vk+֜\80X4D)!!?*|fv u"xA@T_q64)kڬuV7 t '%;i9s9x,ڎ-45xd8?ǘd/Y|t &LILJ`& -Gt/PK! ѐ'theme/theme/_rels/themeManager.xml.relsM 0wooӺ&݈Э5 6?$Q ,.aic21h:qm@RN;d`o7gK(M&$R(.1r'JЊT8V"AȻHu}|$b{P8g/]QAsم(#L[PK-![Content_Types].xmlPK-!֧6 0_rels/.relsPK-!kytheme/theme/themeManager.xmlPK-!0C)theme/theme/theme1.xmlPK-! ѐ' theme/theme/_rels/themeManager.xml.relsPK] } [089CWY.]^``gy gk( Y . T !Cy 5 ';H\LRV_fjlnotU{' SUVWYZ[\]^`abcdefhikluvz{}'(VsecTX_gjm|8@0(  B S  ? 8COT""$$''''M(U(*&*2*9* 00@2J2K3R3D4O455558888 9)99999^:g:::CDGFPFdGkGGGGG1H:HKHTHIIJJLLLLO OSSUU@VBVsVuVVVY YY&Y8YAYMYVYlYnYYYYYZZ1[:[C[L[[[^\`\\\\\]]]] ^^6^?^H^Q^__O_Q_____` `F`H`ii}jj5p>p[pdpsst#tvvvvwxx xxxx"x(x1x3x:x>xGxHxTxWx_xjxtxxx$y*yyyzzR{Z{{{{||||||||||||||};}@}} ~ ~~ ~%~~~ GNPU^efkluv~ŀƀˀ̀̀΀؀$FNPWegˁԁ'5:;A͂҂ׂނ !#)]dflnw'05<QX\hmr~ȆʆΆӆچ $%(-78CDKLST^_cistz{ćɇчև !$,5:LMXZ]bjovw~Èˈ̈وڈ'3?AHINcjku{‰ˉЉۉ %&029AJObgmnvw~ÊɊӊڊ"'15=>EFKLQV^_ij}~ϋ '3ENɏJQ(6"dmrzϕؕBF nw 8A "+8AZc$-DMZc|kmnpqstvz. 1)9)@@WE_E@VCVlYoY^\a\]]ceqegrrTxVxxxxxx+yyyXzZzzz{{{{ ||}}}}@Bƀˀʁ4ƂȂ8=].?@hmoY[!$Nkmnpqstvz33333333333333333333333333333333333333333333|-|-77 8 8<=??@@oAoApApACC'D'D2D2DJDJDUDUDvDvDDDDDDDDDDDDDDD&F(F)F)FGFGFbFgF#G`HkHkHlHlH`JlJyLyLHNHN T TTUUUVVWWWWWWvXvXZZZZ[[1[1[%\%\\\]]6^6^D^D^R^Y^^^``0a0aaaaaaaabbiejeje ffffzfzf{fghhhhIiJiKiLiNiNiqiuiiiiiiikkllllmmbmgmlmlmmm5p5pqqqq#s'sJsKsXsfsssssMN{|}~~QRvw&'HIɚʚHIjknnƛǛ45ZZjkjz`# ^`OJQJo( 8^8`OJQJo(^`OJ QJ ^J o(o  p^ `OJ QJ o(  @ ^ `OJ QJ o( x^x`OJQJo(H^H`OJ QJ ^J o(o ^`OJ QJ o( ^`OJ QJ o(gfR@85 7 V4S2g/\2YHsuN+S(<v! Y'/c+7,L-t?/$+04043hN3p5j8<7=6>>?@;PQRRAVwVQYye~evlulWn/rt-w zzx|<~}9~L*d*h*b/GJ,)D^ 'OowA_t#`DB_E4(JHpAm jV[`+kG H);W^vr*NP@5555$'(23D4D6tu|}]]]]^^^y@0d@<|@@@@@,@4@@@@UnknownG.Cx Times New Roman5Symbol3. *Cx ArialaHelvetica NeueMalgun GothiccTimesNewRomanTimes New RomanY Century_SchoolbkCentury7.@CalibriixP!Liberation SerifTimes New RomanOWenQuanYi Micro Hei_ Lohit HindiTimes New Roman5. .[`)Tahoma?= *Cx Courier New;WingdingsA$BCambria Math"q\4\4^wG~PQ20KQHX  $Pr*2! xx  Alan Filipin Alan Filipin Oh+'0, px   $Alan Filipin Normal.dotmAlan Filipin3Microsoft Office Word@^в@|t@"}t^w՜.+,0 hp|  G  TitleNaslov  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"$%&'()*+,-./0123456789:;<=>?@ABDEFGHIJLMNOPQRWX[Root Entry F@RB}tZData ]F1Table#>WordDocument 4SummaryInformation(CDocumentSummaryInformation8KMsoDataStore`6A}t@B}t1CCQYKNKVHUV==2`6A}t@B}tItem  PropertiesUCompObj r   F Microsoft Word 97-2003 Document MSWordDocWord.Document.89q