Global ETD Search

71	Wildfire Hazard Mapping using GIS-MCDA and Frequency Ratio Models : A Case Study in Eight Counties of Norway Zeleke, Walelegn Mengist January 2019 (has links) Abstract A wildfire is an uncontrollable fire in an area of combustible fuel that occurs in the wild or countryside area. Wildfires are becoming a deadly and frequent event in Europe due to extreme weather conditions. In 2018, wildfires profoundly affected Sweden, Finland, and Norway, which were not big news before. In Norway, although there is well–organized fire detection, warning, and mitigation systems, mapping wildfire risk areas before the fire occurrence with georeferenced spatial information, are not yet well-practiced. At this moment, there are freely available remotely sensed spatial data and there is a good possibility that analysing wildfire hazard areas with geographical information systems together with multicriteria decision analysis (GIS–MCDA) and frequency ratio models in advance so that subsequent wildfire warning, mitigation, organizational and post resilience activities and preparations can be better planned. This project covers eight counties of Norway: Oslo, Akershus, Østfold, Vestfold, Telemark, Buskerud, Oppland, and Hedmark. These are the counties with the highest wildfire frequency for the last ten years in Norway. In this study, GIS-MCDA integrated with analytic hierarchy process (AHP), and frequency ratio models (FR) were used with selected sixteen–factor criteria based on their relative importance to wildfire ignition, fuel load, and other related characteristics. The produced factor maps were grouped under four main clusters (K): land use (K1), climate (K2), socioeconomic (K3), and topography (K4) for further analysis. The final map was classified into no hazard, low, medium, and high hazard level rates. The comparison result showed that the frequency ratio model with MODIS satellite data had a prediction rate with 72% efficiency, followed by the same model with VIIRS data and 70% efficiency. The GIS-MCDA model result showed 67% efficiency with both MODIS and VIIRS data. Those results were interpreted in accordance with Yesilnacar’s classifications such as the frequency ratio model with MODIS data was considered a good predictor, whereas the GIS-MCDA model was an average predictor. When testing the model on the dependent data set, the frequency ratio model showed 72% with MODIS & VIIRS data, and the GIS-MCDA model showed 67% and 68% performance with MODIS and VIIRS data, respectively. In the hazard maps produced, the frequency ratio models for both MODIS and VIIRS showed that Hedmark and Akershus counties had the largest areas with the highest susceptibility to wildfires, while the GIS-MCDA method resulted to Østfold and Vestfold counties. Through this study, the best independent wildfire predictor criteria were selected from the highest to the lowest of importance; wildfire constraint and criteria maps were produced; wildfire hazard maps with high-resolution georeferenced data using three models were produced and compared; and the best, reliable, robust, and applicable model alternative was selected and recommended. Therefore, the aims and specific objectives of this study should be considered and fulfilled. Wildfire GIS MCDA Frequency Ratio Hazard Map Constraint Criteria Factor Criteria AUC Forest Science Skogsvetenskap Miljö- och naturvårdsvetenskap Geosciences, Multidisciplinary Multidisciplinär geovetenskap Physical Geography Naturgeografi Information Systems Remote Sensing Fjärranalysteknik
72	Improved in silico methods for target deconvolution in phenotypic screens Mervin, Lewis January 2018 (has links) Target-based screening projects for bioactive (orphan) compounds have been shown in many cases to be insufficiently predictive for in vivo efficacy, leading to attrition in clinical trials. Phenotypic screening has hence undergone a renaissance in both academia and in the pharmaceutical industry, partly due to this reason. One key shortcoming of this paradigm shift is that the protein targets modulated need to be elucidated subsequently, which is often a costly and time-consuming procedure. In this work, we have explored both improved methods and real-world case studies of how computational methods can help in target elucidation of phenotypic screens. One limitation of previous methods has been the ability to assess the applicability domain of the models, that is, when the assumptions made by a model are fulfilled and which input chemicals are reliably appropriate for the models. Hence, a major focus of this work was to explore methods for calibration of machine learning algorithms using Platt Scaling, Isotonic Regression Scaling and Venn-Abers Predictors, since the probabilities from well calibrated classifiers can be interpreted at a confidence level and predictions specified at an acceptable error rate. Additionally, many current protocols only offer probabilities for affinity, thus another key area for development was to expand the target prediction models with functional prediction (activation or inhibition). This extra level of annotation is important since the activation or inhibition of a target may positively or negatively impact the phenotypic response in a biological system. Furthermore, many existing methods do not utilize the wealth of bioactivity information held for orthologue species. We therefore also focused on an in-depth analysis of orthologue bioactivity data and its relevance and applicability towards expanding compound and target bioactivity space for predictive studies. The realized protocol was trained with 13,918,879 compound-target pairs and comprises 1,651 targets, which has been made available for public use at GitHub. Consequently, the methodology was applied to aid with the target deconvolution of AstraZeneca phenotypic readouts, in particular for the rationalization of cytotoxicity and cytostaticity in the High-Throughput Screening (HTS) collection. Results from this work highlighted which targets are frequently linked to the cytotoxicity and cytostaticity of chemical structures, and provided insight into which compounds to select or remove from the collection for future screening projects. Overall, this project has furthered the field of in silico target deconvolution, by improving the performance and applicability of current protocols and by rationalizing cytotoxicity, which has been shown to influence attrition in clinical trials.
73	Anwendungsbeobachtung der Multiplate®Impedanzaggregometrie in Bezug auf den postoperativen Transfusionsbedarf bei kardiochirurgischen Operationen mit intraoperativem Anschluss an eine HerzLungenMaschine / Use of the Multiplate® Method in Cardiothoracic Surgery with intraoperative Cardio-Pulmonary Bypass with respect to postoperative Transfusion Requirements Freifrau von Saß, Nora 21 November 2016 (has links) No description available. 610 Multiplate-Impedanzaggregometrie POC-Methode Multiplate® Method on-pump cardiac surgeries TRAP AUC postoperativeTransfusions Medizin (PPN619874732)
74	Analýza ROC křivek zvukových signálů a jejich srovnání / Analysis and comparison of ROC curves of audio signals Pospíšil, Lukáš January 2017 (has links) This thesis deals with oportunity of ROC curve usage in the description of methods that work with sound signals. Specifically, it focuses on ways of detecting of stress in speech signals. The detection itselfs is done in a range of frequencies of the sound signal. There is also a classifier designed using ROC curves that decides whether the input signal is stressed or not. The output of this thesis are findings gathered from analyses and also some recommendation based on those analyses.
75	Recommender System for Gym Customers Sundaramurthy, Roshni January 2020 (has links) Recommender systems provide new opportunities for retrieving personalized information on the Internet. Due to the availability of big data, the fitness industries are now focusing on building an efficient recommender system for their end-users. This thesis investigates the possibilities of building an efficient recommender system for gym users. BRP Systems AB has provided the gym data for evaluation and it consists of approximately 896,000 customer interactions with 8 features. Four different matrix factorization methods, Latent semantic analysis using Singular value decomposition, Alternating least square, Bayesian personalized ranking, and Logistic matrix factorization that are based on implicit feedback are applied for the given data. These methods decompose the implicit data matrix of user-gym group activity interactions into the product of two lower-dimensional matrices. They are used to calculate the similarities between the user and activity interactions and based on the score, the top-k recommendations are provided. These methods are evaluated by the ranking metrics such as Precision@k, Mean average precision (MAP) @k, Area under the curve (AUC) score, and Normalized discounted cumulative gain (NDCG) @k. The qualitative analysis is also performed to evaluate the results of the recommendations. For this specific dataset, it is found that the optimal method is the Alternating least square method which achieved around 90\% AUC for the overall system and managed to give personalized recommendations to the users. Recommender system collaborative filtering matrix factorization sparse matrix latent semantic analysis singular value decomposition alternating least square Bayesian personalized ranking logistic matrix factorization stochastic gradient descent AUC metric mean average precision normalized discounted cumulative gain Rekommendationssystem Computer Sciences Datavetenskap (datalogi) Probability Theory and Statistics Sannolikhetsteori och statistik
76	Colombia: Postured for Failure, a Lesson in Counterinsurgency Strategy Brodie, Abdullah 01 January 2009 (has links) There is little solid research that explores counterinsurgency practices against the Revolutionary Armed Forces of Colombia (FARC), not only from the standpoint of what is being done, but, rather, what should be done based on past COIN successes. Notable works on counterinsurgency in Colombia include the research of Tom Marks, who focused on operational strategy and tactics; Kevin Self, who professes the importance of controlling territory in defeating the FARC, by addressing the social and institutional ills within Colombia itself; and Dennis Rempe, who notes US involvement in shaping Colombia's COIN strategy. Using a comparative case study model, this thesis provides an analysis of Colombia?s counterinsurgency (COIN) strategies and tactics through the lens of successful and unsuccessful COIN operations in Iraq, Algeria, Malaya, South Vietnam, Thailand, Algeria and El Salvador over the course of the 20th and early 21st centuries. After all, no matter how successful a COIN force is militarily, their accomplishments will ultimately be fruitless if the conditions which fuel insurgency remains present. This paper begins by providing the historical context for the conditions which shaped the Colombian social order, which led to the revolutionary movement. It then follows the growth of the FARC, examining that organization?s strengths and weaknesses. The FARC is contrasted by outlining recent COIN transformation efforts within the Colombian government, to include little acknowledged failures and successes, strengths and weaknesses. An important focus is placed on Colombian President Alvaro Uribe Velez? Democratic Security Policy as the model for Colombia?s current COIN efforts. After next examining various ongoing factors contributing to the Colombian insurgency?to include institutional failures, illicit funding and the problem of paramilitary groups?this thesis examines past COIN efforts by other governments. Finally, after applying lessons learned from thee past COIN efforts?cross-referencing historically successful and unsuccessful tactics with tactics used and not used by Bogota in its fight against the FARC?I provide recommendations to the government of Colombia (GOC) on how to improve its COIN efforts. Although it is important to look at this problem set from an external standpoint, we must still factor in internal factors that have limited Colombia?s ability to emerge victorious, such as allowing porous borders, airspace and coastlines; placing a priority on killing or capturing the enemy and not on engaging the population; and the primacy of military direction of counterinsurgency; disregard of basic human rights; an insufficient judiciary structure; failure to halt financial support mechanisms; and the lack of an outlet for political inclusion . From this vantage point, we will be able to see that these elements?when properly implemented?have proven successful over time and may enhance GOC success and ultimately result in victory over the insurgency that has plagued their country for 40+ years
77	The Association of Libarians in colleges of advanced education and the committee of Australian university librarians: The evolution of two higher education library groups, 1958-1997 Oakshott, Stephen Craig, School of Information, Library & Archives Studies, UNSW January 1998 (has links) This thesis examines the history of Commonwealth Government higher education policy in Australia between 1958 and 1997 and its impact on the development of two groups of academic librarians: the Association of Librarians in Colleges in Advanced Education (ALCAE) and the Committee of Australian University Librarians (CAUL). Although university librarians had met occasionally since the late 1920s, it was only in 1965 that a more formal organisation, known as CAUL, was established to facilitate the exchange of ideas and information. ALCAE was set up in 1969 and played an important role helping develop a special concept of library service peculiar to the newly formed College of Advanced Education (CAE) sector. As well as examining the impact of Commonwealth Government higher education policy on ALCAE and CAUL, the thesis also explores the influence of other factors on these two groups, including the range of personalities that comprised them, and their relationship with their parent institutions and with other professional groups and organisations. The study focuses on how higher education policy and these other external and internal factors shaped the functions, aspirations, and internal dynamics of these two groups and how this resulted in each group evolving differently. The author argues that, because of the greater attention given to the special educational role of libraries in the CAE curriculum, the group of college librarians had the opportunity to participate in, and have some influence on, Commonwealth Government statutory bodies responsible for the coordination of policy and the distribution of funding for the CAE sector. The link between ALCAE and formal policy-making processes resulted in a more dynamic group than CAUL, with the university librarians being discouraged by their Vice-Chancellors from having contact with university funding bodies because of the desire of the universities to maintain a greater level of control over their affairs and resist interference from government. The circumstances of each group underwent a reversal over time as ALCAE's effectiveness began to diminish as a result of changes to the CAE sector and as member interest was transferred to other groups and organisations. Conversely, CAUL gradually became a more active group during the 1980s and early 1990s as a result of changes to higher education, the efforts of some university librarians, and changes in membership. This study is based principally on primary source material, with the story of ALCAE and CAUL being told through the use of a combination of original documentation (including minutes of meetings and correspondence) and interviews with members of each group and other key figures. CAUL ALCAE Higher Education Australia Libraries University Universities Colleges of Advanced Education CAE History Cooperation Interest Groups Lobbying Lobby Groups Federal Government Commonwealth Government Funding Australian Vice-Chancellors' Committee AVCC AACOBS Library Association of Australia LAA ALIA CAVAL CLANN ACDP Australian Bibliographical Network ABN ALIC ACAE Australian Universities Commission AUC CACAE ACAE CTEC Tertiary Education Commission TEC DEET NSWAEC UNISON Victor CRITTENDEN Paul McNALLY Andrew OSBORN Dorothy PEAKE Jack WARD Dietrich BORCHARDT Harrison BRYAN Ted FLOWERS Allan HORTON Neil RADFORD Denis RICHARDSON Colin STEELE Eric WAINWRIGHT Frank HAMBLY Geoff ALLEN Christopher AWCOCK Judith EDWARDS John CUMMINGS Katherine CUMMINGS Axel LODEWYCKS Derek FIELDING Leonard JOLLEY Brian SOUTHWELL John SHIPP James O'BRIEN Jessie HARLEY Bill HITCHINS Lois JENNINGS John YOCKLUNN

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