Although codon usage bias has been shown to persist through non-random mutations and selection, many avenues of research into the applications of codon usage bias have remained unexplored. In this dissertation, we present several new applications of codon usage bias and their practical uses in a phylogenetic construct. We first review the literature and provide background into other software applications of codon usage bias in Chapter 1. In Chapter 2, we show that in tetrapods, codon aversion in orthologs is phylogenetically conserved. We further this analysis in Chapter 3 by exploring codon use and aversion across the Tree of Life, providing frameworks for other researchers to analyze different species subsets. We present a novel algorithm to recover species relationships using codon aversion, without regard to orthologous relationships in Chapter 4. We present several other algorithms in Chapter 5 to also recover species relationships using biases in codon pairing. Chapter 6 analyzes the relationship between codon usage bias in viruses that infect humans and proteins found in tissues that they infect. In Chapter 7, we present our discovery of a conservation in coding sequence lengths in orthologous genes that allowed us to accurately recover orthologous gene relationships and reduce overall ortholog identification runtime by over 96%. In Chapter 8 we discuss a novel algorithm for extracting a ramp of slowly-translated codons located at the beginning of gene sequences, allowing researchers to quickly identify translational bottlenecks. Finally, Chapter 9 touches on future applications of codon usage bias in phylogenetics. This dissertation represents a major vertical leap in phylogenetics by providing a framework and paradigm shift toward utilizing codon usage and coding sequence length biases in future analyses.

This Master's thesis deals with proposal of Flexible Spectrum Usage (FSU) algorithm based on policy agreed among operators. The introduction presents basic information about properties of next generation mobile communication ITM-Advanced system. After the introductory part the attention is given to the items efficient for FSU implementation as well as parameters used for evaluation of FSU algorithm efficiency. Several variants policy based FSU algorithm utilize value of Signal to Interference plus Noise Ratio (SINR) is designed. The SINR information is used to combat with mutual interference which is caused by coexistence of several operators in the same geographical area sharing over the same spectrum pool. Individual needed as traffic and quality of service requirements of each operator is taken into consideration as well. The main aim is to maximize cell troughput as well as data- rates for each user of HBS. For simulation of proposal algorithm is considered deployment of four Currently Home Base Stations (HBS) in indoor loacal area scenerio with random number of users in given range. Each operator makes independent dicision without signalling exchange among other. The only considered information that HBS can use is gotten by scenning its environment. This problem soliving is considered to use Cognitive Radio (CR)

This master's thesis is focused on comparison of various conception of slide contacts. Studies of this theme are based on laboratory models and consequential experiments and measurements to the application of innovated slide contacts. The innovation is based on application Teflon on the slide contact's components. In this project there are presented results from measurements with application of innovated brushes „sT“, brush holders with „sT“ and new conception of slide contact with auxiliary teflon brush on DC machine. Next part is about innovation of trolley-bus traction collector, which was used on trolley-bus and results of its laboratory experiments. The last part presents results of long term experiments with "sT" technology, which was applicated in a few variants of industrial usage.

L’adoption du numérique au sein des industries et les évolutions des technologies ouvrent de nouvelles perspectives d’usages de la réalité augmentée (RA) et de la réalité virtuelle (RV). Ainsi, ces technologies peuvent faciliter l’assistance des opérateurs travaillant sur des systèmes industriels complexes en utilisant la RA et permettre la mise en œuvre de formations en RV, améliorant donc leur efficience. Cependant, intégrer ces nouveaux outils aux processus existants de l’entreprise reste complexe, de par les aspects technologiques et le continuum de données à mettre en œuvre, de par l’identification des cas d’usages et des gains associés et de par la diversité d’acteurs et d’experts métiers à impliquer dans ce processus : l’expert du système industriel, l’opérateur, le concepteur et le développeur informatique.Afin d’aborder ces différentes problématiques industrielles et en se basant sur un état de l’art scientifique et technologique, nos travaux de recherche ont porté sur la proposition d’un modèle de données permettant de faciliter la création de contenu en réalité augmentée pour les opérations sur des systèmes industriels. Ces travaux ont également permis de mettre en place un environnement expérimental basé sur une chaîne de production didactique et une application créée grâce à ce modèle.Dans une seconde partie de ce travail, afin d’évaluer l’efficacité de cette technologie, nous avons mis en place une méthode permettant d’évaluer l’usage de la réalité augmentée pour la maintenance de systèmes industriels complexes selon des critères de performances et de satisfactions. L’analyse de deux études de cas montre que la contextualisation de l’information en réalité augmentée permet à l’opérateur de comprendre plus rapidement l’opération à effectuer qu’avec guide papier tout en réduisant certains types d’erreur. De plus, nous proposons des recommandations pour améliorer la pertinence de l’information fournie en réalité augmentée et identifions le type d’opération permettant d’obtenir un gain significatif, grâce à la réalité augmentée. Ces travaux s’intéressent également à l’influence et à la sélection des dispositifs de rendus.Enfin, en nous basant sur le modèle de données de RA, nous proposons une ontologie permettant d’unifier la création de contenu en réalité augmentée et virtuelle afin de former et guider un opérateur dans ses tâches. Nous étudions l’usage de cette ontologie pour exploiter d’autres données et connaissances de l’entreprise telles que celles liées à la maintenance. Cette ontologie est utilisée pour des scénarios de formation dans des environnements industriels et pour l’assistance sur des opérations. / The adoption of digital technologies within industries and the evolution of technologies are opening new perspectives for using augmented reality (AR) and virtual reality (VR). Therefore, those technologies can facilitate the operators’ tasks working on complex industrial systems, either by bringing them some contextualised information in AR or by helping them with VR trainings. Thus they would improve their efficiency. However, integrating these new tools into existing processes of the company remains complex, due to the technologies and the data continuum needed, through the identification of use cases and the associated gains and by the diversity of actors and business experts involved in this process: the expert of the industrial system, the operator, the designer and the computer scientist.In order to develop those different industrial problematics, we first study the state of the art of scientific publications and existing technologies. Then, our research work has proposed a data modelling facilitating content authoring of augmented reality operations on industrial system. This work has also allowed to set up an experimental environment based on an educational production line and an augmented reality application developed thanks to that model.In a second part of this work, and in order to evaluate the efficiency of this technology, we have proposed a methodology allowing to evaluate augmented reality usage for maintenance, repair and operations on industrial systems according to performance, satisfaction and behavioural criteria. We analyse two case studies. They shows that contextualisation of information with augmented reality allows the operator to faster understand the task he needs to carry out than with paper instructions while reducing some kind of errors. Moreover we are proposing some guidelines in order to improve the augmented reality information efficiency. Besides, we are identifying which types of operation are improved with augmented reality. The work is also describing the rendering device influence on the use of augmented reality.Finally, and based on the augmented reality modelling, we are proposing an ontology allowing to unify content authoring of augmented and virtual reality so as to train or guide operator in their tasks. We are studying the use of this ontology for exploiting others data and company knowledge, as maintenance. This ontology is used for training scenarios in industrial environment and for guiding operator during their work.

Malgré la fréquence d’utilisation des psychotropes chez les personnes plus âgées et leur propension aux événements indésirables liés aux médicaments, peu d’études se sont intéressées au respect des règles de bon usage des psychotropes dans cette population. L’objectif de ce travail était d’évaluer les modalités d’utilisation des psychotropes et le respect des recommandations de bon usage publiées en France. Deux types de population ont été inclus : un échantillon clinique constitué de patients âgés d’au moins 65 ans hospitalisés dans deux Pôles de psychiatrie à Bordeaux, et un échantillon de la population générale âgée d’au moins 65 ans, à partir d’une base de données de l’assurance maladie française. En population clinique, les règles de bon usage étaient plutôt bien respectées, avec, pour les benzodiazépines, la prescription d’une produit à demi-vie courte dans près de trois quarts des prescriptions et une posologie adéquate dans près de deux tiers des cas. Toutefois, un arrêt de traitement n’était jamais prévu dès l’initiation du traitement et le rythme de prescription était discontinu dans seulement un tiers des cas. Dans la population générale âgée, la durée et la surveillance biologique des traitements antidépresseurs étaient conformes chez moins de 20% des sujets, alors que près des trois quarts des sujets initiant un traitement par benzodiazépine recevaient une durée adéquate. En revanche moins de la moitié des délivrances concernaient une benzodiazépine anxiolytique à demi-vie courte. L’étude de l’impact de la publication des recommandations n’a pas montré qu’elle permettait une amélioration de l’utilisation des psychotropes. Il est nécessaire d’accompagner la publication des recommandations d’autres mesures, afin d’insister sur le bon usage des psychotropes, notamment la durée nécessaire de traitement antidépresseur et le choix d’un anxiolytique à demi-vie courte. / Despite a high frequency of use and a tendency to present with adverse events of drugs, few studies assessed compliance with guidelines related to proper use of psychotropic drugs in the older population. The aim was to assess the patterns of psychotropic drugs use in this population, as well as the compliance with French guidelines. Two population samples were included, a clinical sample of older psychiatric inpatients and a sample of the older general population using claims database of the national health insurance. In clinical population, compliance with guidelines was rather good, with prescription of a short half-life benzodiazepine in nearly three quarters of prescriptions and adequate dosage in nearly two third of cases. However, treatment discontinuation was never specified at the time of treatment initiation and rhythm of prescription was discontinuous in only one third of cases. In the older general population, duration of antidepressant treatment and biological monitoring was appropriate in only 20 % of patients, whereas nearly three quarters of subjects initiating a benzodiazepine treatment were treated over an appropriate duration. However, less than half of them had received a benzodiazepine anxiolytic of short half-life. The assessment of the impact of practice guidelines publication found no improvement of psychotropic drugs use. Other interventions should accompany guidelines publication in order to underline the importance of proper use of drugs, particularly antidepressant treatment duration and use of short half-life benzodiazepine drugs.

Syftet med denna undersökning är att med hjälp av två vetenskapliga metoder, kvalitativa intervjuer och användardagböcker ta reda på hur användares mobila brukarvanor ser ut och vilka typer av tjänster kan de ligga till grund för baserat på ett Smart city-perspektiv. Arbetet kommer även att analysera och utveckla metodiken för fortsatta studier inom ämnet. Mobilen har under de senaste åren utvecklats till att bli en enhet där dess ursprungliga telefonfunktioner blivit sekundära egenskaper. Dess främsta ändamål är fortfarande för att kommunicera med andra, men i första hand genom andra typer av tjänster. Man kan idag även se hur utvecklingen går från ett bruk av digitala tjänster där varje enhet har specifika syften, till ett bruk där enheter samarbetar och delar ett gemensamt syfte. I och med att vårt bruk, och våra vanor, av dessa enheter förändras, så förändras även naturen hos tjänsterna de tillhandahåller. Man kan se en utveckling mot, och en efterfrågan för, tjänster som genom att utnyttja ny teknologi kan beskrivas bryta gränsen mellan det digitala och den fysiska verkligheten. Vilket ur ett Smart City-perspektiv kan ha stor potential inom flera områden av samhälls- och verksamhetsutveckling. Det går även att se att synen på hur vi konsumerar digitala tjänster förändras. Från att ha haft en väldigt enhetsfokuserad syn, där varje enhet har specifika ändamål, går vi mot ett bruk av tjänster där enheten i sig inte är viktig. Många tjänster finns idag på flera enheter, och enheterna fungerar mer som ett samarbetande ekosystem än enskilda enheter med egna syften. Enheterna delar snarare ett gemensamt syfte, att agera fönster mot internet. / The purpose of this study is to find out how mobile user habits can provide a basis for applications and services based on a Smart City perspective, this by using two scientific methods, interviews and user diaries. The study will also analyze and develop the method for further studies in this subject. The cell phone has in recent years evolved into a unit where the original phone functions and features have become secondary. Even though its main purpose is still to communicate with others, it’s now done primarily through other types of services. Today the development goes from a use of digital services where each unit has a specific purpose, to a practise where they work together and share a common purpose. As a result of the fact that our use and our habits of these devices are changing, the nature of the services provided by these devices are also changing. Due to this, there is an ongoing evolution towards, and a demand for, new services that can take advantage of new technologies to dissolve the border between the digital and the physical reality. Which, from a Smart City perspective, could have great potential in several areas of social and organizational development. One can also se that the way we consume digital services is changing. We have gone from having a device centerd focus, were every unit has a specific purpose to a serviced centerd focus, were the units work as a collaborative ecosystem. These units share a collective pupose, to act as a window towards the internet.

Mobile devices such as smartphones and smart watches are ubiquitous companions of humans’ daily life. Since 2014, there are more mobile devices on Earth than humans. Mobile applications utilize sensors and actuators of these devices to support individuals in their daily life. In particular, 24% of the Android applications leverage users’ mobility data. For instance, this data allows applications to understand which places an individual typically visits. This allows providing her with transportation information, location-based advertisements, or to enable smart home heating systems. These and similar scenarios require the possibility to access the Internet from everywhere and at any time. To realize these scenarios 83% of the applications available in the Android Play Store require the Internet to operate properly and therefore access it from everywhere and at any time. Mobile applications such as Google Now or Apple Siri utilize human mobility data to anticipate where a user will go next or which information she is likely to access en route to her destination. However, predicting human mobility is a challenging task. Existing mobility prediction solutions are typically optimized a priori for a particular application scenario and mobility prediction task. There is no approach that allows for automatically composing a mobility prediction solution depending on the underlying prediction task and other parameters. This approach is required to allow mobile devices to support a plethora of mobile applications running on them, while each of the applications support its users by leveraging mobility predictions in a distinct application scenario. Mobile applications rely strongly on the availability of the Internet to work properly. However, mobile cellular network providers are struggling to provide necessary cellular resources. Mobile applications generate a monthly average mobile traffic volume that ranged between 1 GB in Asia and 3.7 GB in North America in 2015. The Ericsson Mobility Report Q1 2016 predicts that by the end of 2021 this mobile traffic volume will experience a 12-fold increase. The consequences are higher costs for both providers and consumers and a reduced quality of service due to congested mobile cellular networks. Several countermeasures can be applied to cope with these problems. For instance, mobile applications apply caching strategies to prefetch application content by predicting which applications will be used next. However, existing solutions suffer from two major shortcomings. They either (1) do not incorporate traffic volume information into their prefetching decisions and thus generate a substantial amount of cellular traffic or (2) require a modification of mobile application code. In this thesis, we present novel human mobility and application usage prediction algorithms for mobile devices. These two major contributions address the aforementioned problems of (1) selecting a human mobility prediction model and (2) prefetching of mobile application content to reduce cellular traffic. First, we address the selection of human mobility prediction models. We report on an extensive analysis of the influence of temporal, spatial, and phone context data on the performance of mobility prediction algorithms. Building upon our analysis results, we present (1) SELECTOR – a novel algorithm for selecting individual human mobility prediction models and (2) MAJOR – an ensemble learning approach for human mobility prediction. Furthermore, we introduce population mobility models and demonstrate their practical applicability. In particular, we analyze techniques that focus on detection of wrong human mobility predictions. Among these techniques, an ensemble learning algorithm, called LOTUS, is designed and evaluated. Second, we present EBC – a novel algorithm for prefetching mobile application content. EBC’s goal is to reduce cellular traffic consumption to improve application content freshness. With respect to existing solutions, EBC presents novel techniques (1) to incorporate different strategies for prefetching mobile applications depending on the available network type and (2) to incorporate application traffic volume predictions into the prefetching decisions. EBC also achieves a reduction in application launch time to the cost of a negligible increase in energy consumption. Developing human mobility and application usage prediction algorithms requires access to human mobility and application usage data. To this end, we leverage in this thesis three publicly available data set. Furthermore, we address the shortcomings of these data sets, namely, (1) the lack of ground-truth mobility data and (2) the lack of human mobility data at short-term events like conferences. We contribute with JK2013 and UbiComp Data Collection Campaign (UbiDCC) two human mobility data sets that address these shortcomings. We also develop and make publicly available a mobile application called LOCATOR, which was used to collect our data sets. In summary, the contributions of this thesis provide a step further towards supporting mobile applications and their users. With SELECTOR, we contribute an algorithm that allows optimizing the quality of human mobility predictions by appropriately selecting parameters. To reduce the cellular traffic footprint of mobile applications, we contribute with EBC a novel approach for prefetching of mobile application content by leveraging application usage predictions. Furthermore, we provide insights about how and to what extent wrong and uncertain human mobility predictions can be detected. Lastly, with our mobile application LOCATOR and two human mobility data sets, we contribute practical tools for researchers in the human mobility prediction domain.

Urban Sustainability can be measured in differenz ways. This article focuses on density of public space and transport. With a normative point of view, it shows how density and an easy-to-approach-transportation-system can facilitate the development of a creative city.

Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many factors and is largely unknown. We present the architecture and implementation of AWESOME (Adaptive website recommendations), a data warehouse-based recommendation system. It allows the coordinated use of a large number of recommenders to automatically generate website recommendations. Recommendations are dynamically selected by efficient rule-based approaches utilizing continuously measured user feedback on presented recommendations. AWESOME supports a completely automatic generation and optimization of selection rules to minimize website administration overhead and quickly adapt to changing situations. We propose a classification of recommenders and use AWESOME to comparatively evaluate the relative quality of several recommenders for a sample website. Furthermore, we propose and evaluate several rule-based schemes for dynamically selecting the most promising recommendations. In particular, we investigate two-step selection approaches that first determine the most promising recommenders and then apply their recommendations for the current situation. We also evaluate one-step schemes that try to directly determine the most promising recommendations.

Problemställning Barns användning av elektroniska skärmar har ökat de senaste åren. Deras skärmanvändning påverkas av deras föräldrars användning och uppfattning till elektroniska skärmar. Distriktssköterskans roll inom elevhälsan är att hjälpa barn och familjer till hälsosamma vanor, även avseende skärmanvändning. Syfte Syftet var att beskriva föräldrars uppfattning om sina barns skärmanvändning. Metod Datainsamling gjordes med kvalitativa frågeformulär med öppna frågor. Materialet analyserades enligt fenomenologisk metod. Resultat Resultatet av studien visar att föräldrars uppfattning kring sina barns skärmanvändning är positiv. Föräldrar upplever att barns skärmanvändning bör begränsas samt att det är svårt. Skärmen kan vara en resurs för att söka kunskap samt sociala kontakter mellan barn via sociala medier. Konklusion Föräldrars uppfattning om sina barns skärmanvändning är både positiv och negativ. Skärmanvändning upplevs som bra när den används i pedagogiskt syfte eller bidrar till ökad fysisk aktivitet. Fortsatta studier Implikationer är studier som undersöker ämnet ur distriktssköterskans perspektiv, både avseende möjlighet till kommunikation med föräldrar samt hur föräldrar och distriktssköterskan kan samverka mot ogynnsam skärmanvändning bland barn. / Problem Children’s use of electronic devices such as smartphones and tablets has increased in recent years. Research shows that children’s screen usage is influenced by their parent’s use and perception of electronic screens. The role of the district nurse in student health is to help children and families with healthy habits, including regarding screen usage. Aim The aim of this study was to describe parent’s perceptions of their children’s screen usage. Method The data collection was done with qualitative open-ended questionnaires. The material was analyzed by phenomenological method. Results The results of the study show that parent’s perception of their children’s screen usage is positive. Parents feel that children’s screen usage should be limited and that it is difficult. The screen can be a resource for seeking knowledge as well as social contacts between children via social media. Conclusion Parents' perceptions of children's screen usage are both positive and negative. Screen usage is perceived as good when it’s used for educational purposes or contributes to increased physical activity. Further studies Implications are studies that investigate the topic from the district nurse's perspective, both regarding the possibility of communication with parents and how parents and the district nurse can work together against unfavorable screen usage among children