This study analyses press treatment of the Korean chaebols from 1989 to 1993. A review of the scholarly literature found that the chaebols were very powerful, but were widely disliked and distrusted by members of the Korean public. As well as controlling many Korean businesses, the chaebols influence the media industries through direct and indirect control. With such influence, and their effort to improve their image after the Seoul Olympics, the researcher expected rather favourable images to be reported in the selected press. A total of seven foreign and domestic newspapers and magazines were selected for the study, which represented various ownership and readership characteristics. Hypotheses were established on the basis of the evidence in Chapters 1 and 2 of the power of the chaebols, and of their recent concern to improve their public images. Quantitative content analysis was then used to investigate significant differences in each selected source in relation to the resource dependencies of the selected newspapers and magazines. Each source was compared and analysed to investigate its distinctiveness and their dependencies due to limited resources. Also, some qualitative content analysis was incorporated to further investigate the ways the Korean chaebols were reported. The research found that rather unfavourable images of the chaebols were often reported in the press, both Korean and overseas. They were favourably described as a contributor in developing in the Korean economy, but were unfavourably described as socially destructive. Our results often contradicted our hypotheses. Also, some significant difference and similarities of reports about chaebols were found especially between the Korean and non-Korean press. The more complex situation revealed by our results was addressed using Turow's(1984) Resource Dependency Theory. Overall, the study supported the more complex picture put forward by the Resource Dependency Theory rather than the somewhat simplistic view that sees ownership as the main influence on media outlets.

<p>I studien undersöks hur människor som levt med en partner med alkoholbroende upplever svårigheterna med det samt även hur insikt om medberende kan komma till stånd samt hur insikten kan bidra till att förändra situationen. Studien undersöker även vilka faktorer som kan spela in för vändpunkter i medberoendet. Urvalet bestod av fyra personer som ansåg sig vara medberoende. Med utgångspunkt från studiens syfte valdes kvalitativa intervjuer som insamlingsmetod för att ta reda på hur personer som lever/levt med en partner med ett alkoholberoende upplever sin situation som medberoende. Under november månad år 2005 genomfördes fyra intervjuer. Resultatet av undersökningen visar att det finns flera likheter mellan hur de intervjuade personerna upplever ett medberoende och vad som finns skrivet i populärlitteratur om ämnet. Respondenterna i studien tar upp svårigheter som att sätta gränser, bli manipulerad, bli sviken, känslor av skam, självhat, identitetsförlust, att inte se till egna behov, kontrollbehov, besatthet av drickandet, stor åtgång av negativ energi samt upprepade förhållanden med missbruksproblematik. Alla dessa svårigheter känns igen från den självhjälpslitteratur som studerats. Svårigheterna ser olika ut men gemensamt för dem alla är att den egna personligheten påverkas genom att energin går åt till partnern och partnerns göromål. Forskning visar att medberoende är ett begrepp med många definitioner. Begreppet används och tolkas på olika sätt. Den stora arenan för begreppet medberoende är självhjälps-böcker.</p>

This thesis deals with automatic syntactic analysis of natural languagetext, also known as parsing. The parsing approach is data-driven, whichmeans that parsers are constructed by means of machine learning, lookingat training data in the form of annotated natural language sentences. The syntactic framework used in the thesis is dependency-based. Robustness is one of the characteristics of the data-driven approaches investigated here.The overall aim of this thesis is to maintain robustness while increasing accuracy.The content of the thesis falls naturally into two tracks, a transformation track and a combination track. The  rst type of transformation investigatedis called pseudo-projective, because it enables strictly projective dependency parsers to recover non-projective dependency relations. Informally,a non-projective dependency tree contains crossing binary directed relations, when drawn above the sentence. Experimental results show that pseudo-projective transformations can improve accuracy significantly for a range of languages. The second type of transformation aims to facilitate the processing of specific linguistic constructions such as coordination and verb groups. Experimental results again show a positive effect on parsing accuracy for several languages, often greater than for the pseudo-projective transformations. However, the improvement of the transformations dependson the internal structure of the base parser, which is not the case for thepseudo-projective transformations. The combination track compares various approaches for combining data driven dependency parsers, again as a means of improving accuracy. As different parsers have different strengths and weaknesses, making parsers collaborate in order to  nd one single syntactic analysis may result in higher accuracy than any of the syntactic analyzers can produce by itself. The experimental results show that accuracy improves across languages, giventhat appropriate parsers are combined. The thesis ends with an attempt to combine the two tracks, showing that combining parsers with different tree transformations also increases accuracy. Moreover, this experiment indicates that high diversity among a small set of parsers is much more important than a large number of parsers with low diversity.

I studien undersöks hur människor som levt med en partner med alkoholbroende upplever svårigheterna med det samt även hur insikt om medberende kan komma till stånd samt hur insikten kan bidra till att förändra situationen. Studien undersöker även vilka faktorer som kan spela in för vändpunkter i medberoendet. Urvalet bestod av fyra personer som ansåg sig vara medberoende. Med utgångspunkt från studiens syfte valdes kvalitativa intervjuer som insamlingsmetod för att ta reda på hur personer som lever/levt med en partner med ett alkoholberoende upplever sin situation som medberoende. Under november månad år 2005 genomfördes fyra intervjuer. Resultatet av undersökningen visar att det finns flera likheter mellan hur de intervjuade personerna upplever ett medberoende och vad som finns skrivet i populärlitteratur om ämnet. Respondenterna i studien tar upp svårigheter som att sätta gränser, bli manipulerad, bli sviken, känslor av skam, självhat, identitetsförlust, att inte se till egna behov, kontrollbehov, besatthet av drickandet, stor åtgång av negativ energi samt upprepade förhållanden med missbruksproblematik. Alla dessa svårigheter känns igen från den självhjälpslitteratur som studerats. Svårigheterna ser olika ut men gemensamt för dem alla är att den egna personligheten påverkas genom att energin går åt till partnern och partnerns göromål. Forskning visar att medberoende är ett begrepp med många definitioner. Begreppet används och tolkas på olika sätt. Den stora arenan för begreppet medberoende är självhjälps-böcker.

Technology Portfolios are essential to the evolution of large complex systems. In an effort to harness the power of new technologies, technology portfolios are used to predict the value of integrating them into the project. This optimization of the technology portfolio creates large complex design spaces; however, many processes operate on the assumption that their technology elements have no dependency on each other, because dependencies are not well defined. This independence assumption simplifies the process, but suggests that these environments are missing out on decision power and fidelity. Therefore, this thesis proposed a way to explain the variations in Portfolio recommendations as a function of adding dependencies. Dependencies were defined in accordance with their development effort figures of merit and possible relationships. The thesis then went on to design a method to integrate two dependency classes into the technology portfolio framework to showcase the effect of incorporating dependencies. Results indicated that Constraint Dependencies reduced the portfolio or stayed the same, while Value Dependencies changed the portfolio optimization completely; making the user compare two different optimization results. Both indicated that they provided higher fidelity with the inclusion of the information added. Furthermore, the upcoming NASA Near-Earth Asteroid Campaign was studied as a case study. This campaign is the plan to send humans to an asteroid by 2025 announced by President Obama in April 2010. The campaign involves multiple missions, capabilities, and technologies that must be demonstrated to enable deep-space human exploration. Therefore, this thesis capitalized on that intention to show how adopting technology in earlier missions can act as a feed-forward method to demonstrate technology for future missions. The thesis showed the baseline technology portfolio, integrated dependencies into the process, compared its findings to the baseline case, and ultimately showed how adding higher fidelity into the process changes the user's decisions. Findings concerning the Near-Earth Asteroid Campaign, the use of dependencies to add fidelity and implications for future work are discussed.

Correlated mutation analysis is an effective approach for predicting functional and structural residue interactions from protein multiple sequence alignments. A prediction pipeline over the Pfam database was developed to predict residue contacts within protein domains. Cross- reference with the PDB showed these contacts are spatially close. Furthermore, we found our predictions to be biochemically reasonable and correspond closely with known contact matrices. This large-scale search for coevolving regions within protein domains revealed that if two sites in an alignment covary, then neighboring sites in the alignment would also typically covary, resulting in clusters of covarying residues. The program PatchD was developed to measure the covariation between disconnected sequence clusters to reveal patch covariation. Patches that exhibited strong covariation identified multiple residues that were generally nearby in the protein structures, suggesting that the detection of covarying patches can be used in addition to traditional CMA approaches to reveal functional interaction partners.

Correlated mutation analysis is an effective approach for predicting functional and structural residue interactions from protein multiple sequence alignments. A prediction pipeline over the Pfam database was developed to predict residue contacts within protein domains. Cross- reference with the PDB showed these contacts are spatially close. Furthermore, we found our predictions to be biochemically reasonable and correspond closely with known contact matrices. This large-scale search for coevolving regions within protein domains revealed that if two sites in an alignment covary, then neighboring sites in the alignment would also typically covary, resulting in clusters of covarying residues. The program PatchD was developed to measure the covariation between disconnected sequence clusters to reveal patch covariation. Patches that exhibited strong covariation identified multiple residues that were generally nearby in the protein structures, suggesting that the detection of covarying patches can be used in addition to traditional CMA approaches to reveal functional interaction partners.

No description available.

The purpose of this paper is to describe and analyze two factors contributing to child labor in Ghana, one of the world's largest producers of cocoa. These two factors are: poor countries economic and political dependency on the rich countries, political leader’s ambitions and decisions. We will also describe and analyze the UN's efforts and measures to combat child labor. The method we used was a case study of child labor in Ghana‘s cocoa industry together with interviews. Questions to be answered were: How is poor countries economic and political dependency towards rich countries a contributing factor to child labor? How do political leader’s ambitions and decisions affect child labor? Despite UN efforts to combat child labor it does not diminish in some parts of the world such as West-Africa, why? The theories used were the Dependency Theory and Political Leadership Theory. Our results show that dependency theory can contribute to child labor. It does that because of colonialisms effects still are showing in poorer countries. This in turn leads to that children need to work to help their family economically. UN broad actions and measures to combat child labor did not help to reduce child labor. UN must specify its policies and actions in each country depending on what kind of child labor it is. Political leadership was important to ensure that child labor should decrease. The political leader should have understood the issue and ensured the protection of children under 15 from hazardous work, this by ensuring that there were laws that protected them, but also by accepting the United Nations Convention of the Rights of the Child (UNCRC).

<p>This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. Special attention is given in this thesis to learning methods based on support vector machines (SVM).</p><p>The implementation is validated in three sets of experiments using data from three languages (Chinese, English and Swedish). First, we check if the implementation realizes the underlying architecture. The experiments show that the MaltParser system outperforms the baseline and satisfies the basic constraints of well-formedness. Furthermore, the experiments show that it is possible to vary parsing algorithm, feature model and learning method independently. Secondly, we focus on the special properties of the SVM interface. It is possible to reduce the learning and parsing time without sacrificing accuracy by dividing the training data into smaller sets, according to the part-of-speech of the next token in the current parser configuration. Thirdly, the last set of experiments present a broad empirical study that compares SVM to memory-based learning (MBL) with five different feature models, where all combinations have gone through parameter optimization for both learning methods. The study shows that SVM outperforms MBL for more complex and lexicalized feature models with respect to parsing accuracy. There are also indications that SVM, with a splitting strategy, can achieve faster parsing than MBL. The parsing accuracy achieved is the highest reported for the Swedish data set and very close to the state of the art for Chinese and English.</p> / <p>Denna licentiatavhandling presenterar en mjukvaruarkitektur för</p><p>datadriven dependensparsning, dvs. för att automatiskt skapa en</p><p>syntaktisk analys i form av dependensgrafer för meningar i texter</p><p>på naturligt språk. Arkitekturen bygger på idén att man ska kunna variera parsningsalgoritm, särdragsmodell och inlärningsmetod oberoende av varandra. Till grund för denna arkitektur har vi använt det teoretiska ramverket för induktiv dependensparsning presenterat av Nivre \citeyear{nivre06c}. Arkitekturen har realiserats i programvaran MaltParser, där det är möjligt att definiera komplexa särdragsmodeller i ett speciellt beskrivningsspråk. I denna avhandling kommer vi att lägga extra tyngd vid att beskriva hur vi har integrerat inlärningsmetoden supportvektor-maskiner (SVM).</p><p>MaltParser valideras med tre experimentserier, där data från tre språk används (kinesiska, engelska och svenska). I den första experimentserien kontrolleras om implementationen realiserar den underliggande arkitekturen. Experimenten visar att MaltParser utklassar en trivial metod för dependensparsning (\emph{eng}. baseline) och de grundläggande kraven på välformade dependensgrafer uppfylls. Dessutom visar experimenten att det är möjligt att variera parsningsalgoritm, särdragsmodell och inlärningsmetod oberoende av varandra. Den andra experimentserien fokuserar på de speciella egenskaperna för SVM-gränssnittet. Experimenten visar att det är möjligt att reducera inlärnings- och parsningstiden utan att förlora i parsningskorrekthet genom att dela upp träningsdata enligt ordklasstaggen för nästa ord i nuvarande parsningskonfiguration. Den tredje och sista experimentserien presenterar en empirisk undersökning som jämför SVM med minnesbaserad inlärning (MBL). Studien använder sig av fem särdragsmodeller, där alla kombinationer av språk, inlärningsmetod och särdragsmodell</p><p>har genomgått omfattande parameteroptimering. Experimenten visar att SVM överträffar MBL för mer komplexa och lexikaliserade särdragsmodeller med avseende på parsningskorrekthet. Det finns även vissa indikationer på att SVM, med en uppdelningsstrategi, kan parsa en text snabbare än MBL. För svenska kan vi rapportera den högsta parsningskorrektheten hittills och för kinesiska och engelska är resultaten nära de bästa som har rapporterats.</p>