Design, electric vehicle, city mobility, batteries, electricity

Bakgrund: Patellofemoral smärta (PFS) är vanligt förekommande hos idrottsaktiva barn och ungdomar vilket kan leda till långvariga besvär och till att barn slutar vara fysiskt aktiv. Individuell fysioterapeutisk behandling används ofta inom primärvården för att tackla detta problem. Syftet med denna studie var att undersöka vad individuell fysioterapeutisk behandling innebär och granska evidensen för detta samt relatera prevalensen av PFS relaterat till tidig sportspecialisering.   Metod: Systematisk litteraturstudie. Sökning gjordes i databaserna PubMed och PEDro. Evidensgradering bedömdes med PEDro, SBUs GRADE och modifierade GRADE. Åtta studier inkluderades i litteraturstudien. En studie undersökte prevalensen av PFS relaterat till tidig specialisering. Sex studier undersökte en multimodal behandling med biopsykosociala faktorer för förbättrad knäsmärta samt självupplevd funktion hos barn och unga både kort- och långsiktigt. En studie undersökte effekten av knä- och höft-träning med gummiband.    Resultat: En studie kom fram till att tidig specialisering ökar risken för PFS 1.5 gånger. Sex studier visade på goda effekter av multimodal behandling med biopsykosociala faktorer för knäsmärta samt självupplevd funktion hos barn och unga både kort- och långsiktigt, dock bedömdes den gemensamma evidensen som otillräcklig enligt GRADE. En studie med hög evidens visade att knä- och höft-träning med gummiband gav minskad knäsmärta samt ökad muskelstyrka.    Konklusion: Tidig specialisering medför en ökad risk för PFS, detta bör kliniker vara uppmärksamma på vid behandling. Behandling för PFS bör inte enbart fokusera på styrketräning för knä- och höft-muskulatur utan även involvera en patientutbildning kring biomekanik av strukturer runt knät och smärthantering samt modifiera de aktiviteter som medför smärta. / Background: Patellofemoral pain (PFP) is common in children and adolescents that are physically active, if untreated it may lead to persistent inconvenience and an abrupt end to adolescents involvement in sports. Individual physiotherapeutic treatment is commonly used in primary care to assess this problem. The purpose of this study was to investigate the concept individual physiotherapeutic treatment in PFP while assessing their evidence and to investigate the prevalence of PFP related to early sport specialisation.   Method: Systematic review. The search was conducted in databases PubMed and PEDro. Eight studier were included in the study. These studies were assessed to evidence quality according to PEDro-scale, SBUs regular- and modified GRADE. One study investigated the prevalence of PFS related to early sports specialization (ESS). Six studies investigated a multimodal treatment involving biopsychological factors. One study investigated the effect of knee- and hip-training with Theraband.    Results: Early sport specialization increased the risk for PFP 1.5 times. Six studies showed promising results on factors as knee pain and self-assessed function within the population using a multimodal treatment, the combined evidence was estimated as insufficient. One study with high evidence concluded that knee- and hip-training with Theraband decreased knee pain and increased muscle strength.    Conclusion: ESS is associated with an increased risk of developing PFP, this could be a factor that clinicians should be aware of when treating PFP. An intervention treating PFP should include musclestrenghtening and involve psycosocial factors, one method could be through patient education.

Lentsoane uses the title of his narrative to highlight the theme. Special attention is paid to this. The suspense is captured in the clash between the traditional attitude to life held by the Bapedi and the modem philosophy of life held by the younger generation. Lentsoane effectively uses the concept of a journey to convey his message to his reader. The visit of the antagonist Kgoteledi to the homeland is especially important in this regard, as her family there is conservative and thus strongly supports her actions. But it is also here that she becomes aware of change. Other important techniques used by Lentsoane are: contrast, symbolism, shifting of focus, mirrorimages, naming, summary and retardation, foreshadowing, but also the reference to related matters. This latter technique has an important emphasising function. Although conflict is emphasised all the time, the climax is reached with the announcement that Mihloti, Dikgoneng's girlfriend, is pregnant. The mother (and therefore also the rest of the family) hereby accept that change has also become part of their lives. Kgoteledi comes to terms with the situation and passes away. AFRIKAANS : In hierdie verhandeling word Lentsoane se novelle, Megokgo ya Lethabo, as 'n liefdesverhaal besktyf waarin die liefdesverhouding tussen die minnaars nie deur die jongman se familie goedgekeur word nie, omdat die jong meisie lid van 'n ander etniese groep is. Die beskrywings model wat vir die ondersoek gevolg word, is 'n aangepaste narratologiese model. Boonop word slegs twee van die struktuurlae ondersoek, nl. die inhouds- en die samestellingslae. In die beskrywing van die inhoudslaag is die vier epiese elemente, karakter, handeling, tyd en plek, noukeurig nagegaan, en t.o.v. die onderwerp wat die outeur gekies het, beskryf. Die onderwerp bepaal die onderlinge verhouding tussen die verskillende karakters, en verdeel die handeling in drie groot aksiekategorieë, t.w. die liefdesverhouding, die besware van die jongman se familie, en die uiteindelike troue. Die tydsbegrip word omskryf in terme van 'n tydstip, tydsverloop en tydsomstandighede. Vir die beskrywing van die samestellingslaag van die werk is daar twee kernbegrippe wat uitgelig word, nl. die temabegrip en die tegniek begrip wat 'n verhoudingsbegrip is en nie eenduidig in verwysing is nie. Die tema wat hier vooropgestel word, is die van verandering, en slaan op die voortdurende verandering in die lewe van mense en kulture. Die karakter van die protagonis, Dikgoneng, word in terme van noodsaaklike en bykomende kenmerke beskryf. Die noodsaaklike kenmerke hou met die verhaalsoort of genre verband, terwyl die outeur met die bykomende kenmerke sy Ieser tot vereenselwiging met die protagonis oorhaal. Die antagonis word slegs t.o.v. die noodsaaklike kenmerke beskryf. Lentsoane gebruik die verhaaltitel as 'n belangrike outeursmiddel om die tema van sy werk na vore te bring. Besondere aandag word hieraan afgestaan. Die spanningselement lê opgevang in die botsing tussen die tradisionele lewensopvattings van die Bapedi en die modeme lewensbeskouing van die jong geslag. Lentsoane maak effektief van die reisbegrip gebruik om sy boodskap aan sy leer tuis te bring. Hier is dit veral die antagonis, Kgoteledi, se besoek aan die tuisland, wat belangrik is, omdat haar familie daar behoudende mense is, en haar dus in haar saak sterk steun. Maar dis dan ook hier waar sy van verandering bewus raak. Belangrike ander tegnieke wat Lentsoane gebruik, is kontrastering, simboliek, fokusverskuiwing, spieëlbeeldstelling, naamgewing, tydsversnelling en vertraging, vooruitskouring, maar veral die verwysing na verwante geleenthede wat 'n sterk beklemtoningsfunksie het. Hoewel konflik deurentyd aan die orde is, word die hoogtepunt met die aankondiging bereik dat Mihloti (Dikgoneng se nooi) swanger is. Die moeder (en daarom ook die res van die familie) aanvaar hiermee dat verandering ook deel van hulle lewens geword het. Kgoteledi berus haar hierin en sterwe. / Dissertation (MA)--University of Pretoria, 1999. / African Languages / unrestricted

The thesis evaluates the work and the meaning of the Czech-German Future Fund as one of the key players in the role of deepening and hardening the Czech-German relations. The institution is characterized by the concepts of the soft power and of the reconciliation. The sources of the soft power are directly connected with the concept of the reconciliation. Namely it works with the sources of the foreign policy, the culture and the political values. These are connected with the prolongation of the Fund, Czech-German Journalist Prices and the announcement of the Topic of the Year. The Czech-German Fund was established on the basis of the Czech-German Declaration and its time of existence was initially restricted to 10 years. However, since its establishment in the year 1997 its existence has been extended twice already. The main aim of the work is to characterize the Czech- German Future Fund as a unique organisation of its kind on the background of the evolution of the Czech-German relationship. Besides the main concept of the soft power the work uses the concept of the reconciliation. Especially the four phases of the institution evaluation after the model of Lily Gardner Feldman: circumscription, growth, consolidation, revaluation. In the work, the both concepts are connected and examined closely...

This thesis focuses on finding an end-to-end unsupervised solution to solve a two-step problem of extracting semantically meaningful topics and trend analysis of these topics from a large temporal text corpus. To achieve this, the focus is on using the latest develop- ments in Natural Language Processing (NLP) related to pre-trained language models like Google’s Bidirectional Encoder Representations for Transformers (BERT) and other BERT based models. These transformer-based pre-trained language models provide word and sentence embeddings based on the context of the words. The results are then compared with traditional machine learning techniques for topic modeling. This is done to evalu- ate if the quality of topic models has improved and how dependent the techniques are on manually defined model hyperparameters and data preprocessing. These topic models provide a good mechanism for summarizing and organizing a large text corpus and give an overview of how the topics evolve with time. In the context of research publications or scientific journals, such analysis of the corpus can give an overview of research/scientific interest areas and how these interests have evolved over the years. The dataset used for this thesis is research articles and papers from a journal, namely ’Journal of Cleaner Productions’. This journal has more than 24000 research articles at the time of working on this project. We started with implementing Latent Dirichlet Allocation (LDA) topic modeling. In the next step, we implemented LDA along with document clus- tering to get topics within these clusters. This gave us an idea of the dataset and also gave us a benchmark. After having some base results, we explored transformer-based contextual word and sentence embeddings to evaluate if this leads to more meaningful, contextual, and semantic topics. For document clustering, we have used K-means clustering. In this thesis, we also discuss methods to optimally visualize the topics and the trend changes of these topics over the years. Finally, we conclude with a method for leveraging contextual embeddings using BERT and Sentence-BERT to solve this problem and achieve semantically meaningful topics. We also discuss the results from traditional machine learning techniques and their limitations.

The domain of rhetoric has changed dramatically since its inception as the art of persuasion. It has adapted to encompass many forms of digital media, including, for example, data visualization and coding as a form of literature, but the approach has frequently been that of an outsider looking in. The use of comprehensive computational tools as a part of rhetorical analysis has largely been lacking. In this report, we attempt to address this lack by means of three case studies in natural language processing tasks, all of which can be used as part of a computational approach to rhetoric. At this same moment in time, it is becoming all the more important to transition to renewable energy in order to keep global warming under 1.5 degrees Celsius and ensure that countries meet the conditions of the Paris Agreement. Thus, we make use of speech data on climate policy from the Swedish parliament to ground these three analyses in semantic textual similarity, topic modeling, and political party attribution. We find that speeches are, to a certain extent, consistent within parties, given that a slight majority of most semantically similar speeches come from the same party. We also find that some of the most common topics discussed in these speeches are nuclear energy and the Swedish Green party, purported environmental risks due to renewable energy sources, and the job market. Finally, we find that though pairs of speeches are semantically similar, party rhetoric on the whole is generally not unique enough for speeches to be distinguishable by party. These results then open the door for a broader exploration of computational rhetoric for Swedish political science in the future.

Purpose – Meeting notes are effective records for participants and a source of information for members who were unable to attend. They act as a reference point to decisions made, to plan next steps, and to identify and track action items. Despite the need for a multi meeting solution (Tucker and Whittaker, 05), meetings are often displayed as separated as well as descriptive documents. The aim of this work is to enhance access to overlapping meeting contents and existing coherences beyond a decoupled description. A visual representation of meeting content can lead to meeting records which are more comprehensible and more time efficient. Furthermore, it enables the depiction of knowledge that is often lost in conventional meeting records. Approach – Our goal was to define a general structure for meeting items, integrating content categories and relations between successive meetings. In this paper, we present a model based approach to visualize meeting content as well as content relations in order to support the preparation, execution and follow-up of meetings. Due to the fact that contents of consecutive meetings refer to each other (Post et al., 04), we consider meetings as a series of events. The resulting model substantiates the transformation of content as well as content relations into a visual form. Value – The proposed solution focuses on the model that is integrated into an interactive visualization. Thus, a novel approach to explore meeting records is provided. The model was proved to be suitable for meeting contents in various use cases. Examining the content in its visual representation across multiple consecutive meetings enhances the identification of any linked information at a glance over even long periods of time. Hence, important pieces of information will not be disregarded. Practical implications – The approach of our multi meeting protocol application is realized as a browser-based implementation that displays data from JSON objects. With this interactive visualization, the user can browse, search, and filter meeting content and get a deeper understanding of topics, their life cycle and relations to other topics. This leads to an overall comprehension of project or business progression that highlights topics that need to be addressed. Thus, the viewer is supported in preparing, executing, and following up meetings successfully and qualified to structure records in order to keep a clean transcript of a meeting.

In the last few years the World Wide Web has dramatically changed the way people are communicating with each other. The growing availability of Social Media Systems like Internet fora, weblogs and social networks ensure that the Internet is today, what it was originally designed for: A technical platform in which all users are able to interact with each other. Nowadays, there are billions of user comments available discussing all aspects of life and the data source is still growing. This thesis investigates, whether it is possible to use this growing amount of freely provided user comments to extract quality related information. The concept is based on the observation that customers are not only posting marketing relevant information. They also publish product oriented content including positive and negative experiences. It is assumed that this information represents a valuable data source for quality analyses: The original voices of the customers promise to specify a more exact and more concrete definition of \"quality\" than the one that is available to manufacturers or market researchers today. However, the huge amount of unstructured user comments makes their evaluation very complex. It is impossible for an analysis protagonist to manually investigate the provided customer feedback. Therefore, Social Media specific algorithms have to be developed to collect, pre-process and finally analyze the data. This has been done by the Social Media monitoring system AIM (Automotive Internet Mining) that is the subject of this thesis. It investigates how manufacturers, products, product features and related opinions are discussed in order to estimate the overall product quality from the customers\\\'' point of view. AIM is able to track different types of data sources using a flexible multi-agent based crawler architecture. In contrast to classical web crawlers, the multi-agent based crawler supports individual crawling policies to minimize the download of irrelevant web pages. In addition, an unsupervised wrapper induction algorithm is introduced to automatically generate content extraction parameters which are specific for the crawled Social Media systems. The extracted user comments are analyzed by different content analysis algorithms to gain a deeper insight into the discussed topics and opinions. Hereby, three different topic types are supported depending on the analysis needs. * The creation of highly reliable analysis results is realized by using a special context-aware taxonomy-based classification system. * Fast ad-hoc analyses are applied on top of classical fulltext search capabilities. * Finally, AIM supports the detection of blind-spots by using a new fuzzified hierarchical clustering algorithm. It generates topical clusters while supporting multiple topics within each user comment. All three topic types are treated in a unified way to enable an analysis protagonist to apply all methods simultaneously and in exchange. The systematically processed user comments are visualized within an easy and flexible interactive analysis frontend. Special abstraction techniques support the investigation of thousands of user comments with minimal time efforts. Hereby, specifically created indices show the relevancy and customer satisfaction of a given topic.:1 Introduction 1.1 Chapter Overview 2 Problem Definition and Data Environment 2.1 Commonly Applied Quality Sensors 2.2 The Growing Importance of Social Media 2.3 Social Media based Quality Experience 2.4 Change to the Holistic Concept of Quality 2.5 Definition of User Generated Content and Social Media 2.6 Social Media Software Architectures 3 Data Collection 3.1 Related Work 3.2 Requirement Analysis 3.3 A Blackboard Crawler Architecture 3.4 Semi-supervised Wrapper Generation 3.5 Structure Modifification Detection 3.6 Conclusion 4 Hierarchical Fuzzy Clustering 4.1 Related Work 4.2 Generalization of Agglomerative Crisp Clustering Algorithms 4.3 Topic Groups Generation 4.4 Evaluation 4.5 Conclusion 5 A Social Media Monitoring System for Quality Analyses 5.1 Related Work 5.2 Pre-Processing Workflow 5.3 Quality Indices 5.4 AIM Architecture 5.5 Evaluation 5.6 Conclusion 6 Conclusion and Perspectives 6.1 Contributions and Conclusions 6.2 Perspectives Bibliography / In den letzten Jahren hat sich das World Wide Web dramatisch verändert. War es vor einigen Jahren noch primär eine Informationsquelle, in der ein kleiner Anteil der Nutzer Inhalte veröffentlichen konnte, so hat sich daraus eine Kommunikationsplattform entwickelt, in der jeder Nutzer aktiv teilnehmen kann. Die dadurch enstehende Datenmenge behandelt jeden Aspekt des täglichen Lebens. So auch Qualitätsthemen. Die Analyse der Daten verspricht Qualitätssicherungsmaßnahmen deutlich zu verbessern. Es können dadurch Themen behandelt werden, die mit klassischen Sensoren schwer zu messen sind. Die systematische und reproduzierbare Analyse von benutzergenerierten Daten erfordert jedoch die Anpassung bestehender Tools sowie die Entwicklung neuer Social-Media spezifischer Algorithmen. Diese Arbeit schafft hierfür ein völlig neues Social Media Monitoring-System, mit dessen Hilfe ein Analyst tausende Benutzerbeiträge mit minimaler Zeitanforderung analysieren kann. Die Anwendung des Systems hat einige Vorteile aufgezeigt, die es ermöglichen, die kundengetriebene Definition von \"Qualität\" zu erkennen.:1 Introduction 1.1 Chapter Overview 2 Problem Definition and Data Environment 2.1 Commonly Applied Quality Sensors 2.2 The Growing Importance of Social Media 2.3 Social Media based Quality Experience 2.4 Change to the Holistic Concept of Quality 2.5 Definition of User Generated Content and Social Media 2.6 Social Media Software Architectures 3 Data Collection 3.1 Related Work 3.2 Requirement Analysis 3.3 A Blackboard Crawler Architecture 3.4 Semi-supervised Wrapper Generation 3.5 Structure Modifification Detection 3.6 Conclusion 4 Hierarchical Fuzzy Clustering 4.1 Related Work 4.2 Generalization of Agglomerative Crisp Clustering Algorithms 4.3 Topic Groups Generation 4.4 Evaluation 4.5 Conclusion 5 A Social Media Monitoring System for Quality Analyses 5.1 Related Work 5.2 Pre-Processing Workflow 5.3 Quality Indices 5.4 AIM Architecture 5.5 Evaluation 5.6 Conclusion 6 Conclusion and Perspectives 6.1 Contributions and Conclusions 6.2 Perspectives Bibliography

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This study examines the role of compliment topic by analyzing compliment responses by Japanese and American college students. Compliment responses can be seen as solutions for maintaining a balance between (1) a preference to avoid self-praise and (2) a preference to accept or agree with the compliment (Pomerantz 1978). Building on studies showing that response strategies can be influenced by compliment content and context, the study analyzed responses to compliments on ability, achievement, belongings, appearance, and personal characteristics by determining the subjects' choice of response strategy--categorized as acceptance, avoidance, or rejection--for each compliment topic. Compliment responses were elicited in a recorded, free-flowing conversation by the researcher or the English-speaking research assistant's issuing of compliments on traits of the participants based on information collected prior to the conversation by e-mail. Compliments were subtly dispersed throughout the conversation. Each compliment response was coded according to whether the overall response accepted, avoided, or rejected the credit attributed by the compliment, while the component parts of each response were coded by semantic formulas. The American group accepted compliments more often than the Japanese group and the Japanese group avoided and rejected compliments more often than the English group. But, contrary to a commonly held belief, the Japanese speakers did not overwhelmingly reject compliments, and instead used all three response types with a substantial frequency. The American participants overwhelmingly accepted compliments and almost never rejected compliments, but avoidance strategies were also commonly observed and should not be overlooked in the discussion of American English compliment response patterns. Furthermore, the study found relations between the content and structure of compliment responses and the type of compliment topic. Overall response strategies varied relative to compliment topic, as compliments on personal appearance were overwhelmingly rejected or avoided by both groups while those on belongings were largely accepted by both groups. Some response structures were also unique to a type of compliment topic, including the use of "wa" as a limit on the credit accepted in response to compliments on achievements or the use of "`a' + gratitude" as a means of demonstrating modesty in response to compliments on belongings.