Во введении обоснована актуальность темы ВКР, определены объект и предмет исследования, сформулирована цель работы, поставлены задачи, которые необходимо решить для достижения цели исследования, обозначена степень разработанности темы, показана научная новизна результатов проведенного исследования. В первой главе на основе анализа теоретических основ управления проектами показано, что знание их необходимо для корректной оценки качества инвестиционно-строительного проекта (ИСП). Во второй главе на основе анализа показателей качества решений проектно-конструкторской документации, показано, что для оценки качества ИСП целесообразно рассматривать: проектные решения, проектно-конструкторскую деятельность и исполнение проектной документации. В третьей главе описаны методики оценки качества инвестиционно-строительного проекта, проведен сравнительный анализ методик на основе их применения на примере конкретного объекта капитального строительства (физкультурно-спортивный комплекс). В заключении приведены результаты, полученные в ходе исследования, и основные выводы по ВКР. / In the introduction the relevance of the final qualifying work is substantiated, the object and subject of research are defined, the purpose of the work is formulated, tasks are set, the scientific novelty of research is shown. In the first chapter it is shown based on the analysis of the theoretical foundations of project management that knowledge of them is necessary for a correct assessment of the quality of an investment construction project. In the second chapter it is shown based on the analysis of the quality indicators of design documentation solutions that it is advisable to consider: design solutions, design activities and execution of design documentation to assess the quality of an investment construction project. The third chapter describes the methods of assessing the quality of an investment and construction project, a comparative analysis of the methods based on their application on the example of a specific object of capital construction (a sports complex). In conclusion, the results obtained during the study and the main conclusions on the work are presented.

Procedural Content Generators (PCG) typically excel at generating a large amount of content in a short period of time. Whilst this is making PCG very applicable for the game industry, simplistic implementations of PCG lack in Usability whereas complex implementations of PCG lack in Controllability. The purpose of this study is therefore to deepen our understanding on the correlation between Controllability and Usability in algorithmic generators that utilizes a generic and constructive approach to generate terrain in games.Furthermore the findings in this study can be used in the field of procedural terrain generators to study deterministic generators that utilize Automatic generation, from a Usability or Controllability perspective.

Objective non-intrusive speech quality assessment aimed to emulate and correlate with human judgement has received more attention over the years. It is a difficult problem due to three reasons: data scarcity, noisy human judgement, and a potential uneven distribution of bias of mean opinion scores (MOS). In this paper, we introduce the Latent Mean-Opinion-Score Network (LaMOSNet) that leverage on individual judge’s scores to increase the data size, and new ideas to deal with both noisy and biased labels. We introduce a methodology called Optimistic Judge Estimation as a way to reduce bias in MOS in a clear way. We also implement stochastic gradient noise and mean teacher, ideas from noisy image classification, to further deal with noisy and uneven bias distribution of labels. We achieve competitive results on VCC2018 modeling MOS, and state-of-the-art modeling only listener dependent scores. / Objektiv referensfri ljudkvalitétsbedömning ämnad att härma och korrelera med mänsklig bedömning har fått mer uppmärksamhet med åren. Det är ett svårt problem på grund av tre anledningar: brist på data, varians i mänsklig bedömning, och en potentiell ojämn fördelning av bias av medel bedömningsvärde (mean opinion score, MOS). I detta papper introducerar vi Latent Mean-Opinion-Score Network (LaMOSNet) som tar nytta av individuella bedömmares poäng för att öka datastorleken, och nya idéer för att handskas med både varierande och partisk märkning. Jag introducerar en metodologi som kallas Optimistisk bedömmarestimering, ett sätt att minska partiskheten i MOS på ett klart sätt. Jag implementerar också stokastisk gradient variation och medellärare, idéer från opålitlig bild igenkänning, för att ännu mer hantera opålitliga märkningar. Jag får jämförelsebara resultat på VCC2018 när jag modellerar MOS, och state-of-the-art när jag modellerar enbart beömmarnas märkning.

Digital health tools, platforms, and artificial intelligence– or machine learning–based clinical decision support systems are increasingly part of health delivery approaches, with an ever-greater degree of system interaction. Critical to the successful deployment of these tools is their functional integration into existing clinical routines and workflows. This depends on system interoperability and on intuitive and safe user interface design. The importance of minimizing emergent workflow stress through human factors research and purposeful design for integration cannot be overstated. Usability of tools in practice is as important as algorithm quality. Regulatory and health technology assessment frameworks recognize the importance of these factors to a certain extent, but their focus remains mainly on the individual product rather than on emergent system and workflow effects. The measurement of performance and user experience has so far been performed in ad hoc, nonstandardized ways by individual actors using their own evaluation approaches. We propose that a standard framework for system-level and holistic evaluation could be built into interacting digital systems to enable systematic and standardized system-wide, multiproduct, postmarket surveillance and technology assessment. Such a system could be made available to developers through regulatory or assessment bodies as an application programming interface and could be a requirement for digital tool certification, just as interoperability is. This would enable health systems and tool developers to collect system-level data directly from real device use cases, enabling the controlled and safe delivery of systematic quality assessment or improvement studies suitable for the complexity and interconnectedness of clinical workflows using developing digital health technologies.

This project focuses on deep neural network (DNN)-based non-intrusive speech quality assessment, specifically addressing the challenge of predicting mean-opinion-score (MOS) with interpretable posterior distributions. The conventional approach of providing a single point estimate for MOS lacks interpretability and doesn't capture the uncertainty inherent in subjective assessments. This thesis introduces DeePMOS, a novel framework capable of producing MOS predictions in the form of posterior distributions, offering a more nuanced and understandable representation of speech quality. DeePMOS adopts a CNN-BLSTM architecture with multiple prediction heads to model Gaussian and Beta posterior distributions. For robust training, we use a combination of maximum-likelihood learning, stochastic gradient noise, and a student-teacher learning setup to handle limited and noisy training data. Results showcase DeePMOS's competitive performance, particularly with DeePMOS-B achieving state-of-the-art utterance-level performance. The significance lies in providing accurate predictions along with a measure of confidence, enhancing transparency and reliability. This opens avenues for application in domains such as telecommunications and audio-processing systems. Future work could explore additional posterior distributions, evaluate the model on high-quality datasets, and consider incorporating listener-dependent scores. / Detta projekt fokuserar på icke-intrusiv bedömning av tal-kvalitet med hjälp av djupa neurala nätverk (DNN), särskilt för att hantera utmaningen att förutsäga mean-opinion-score (MOS) med tolkningsbara posteriora fördelningar. Den konventionella metoden att ge en enda punktsuppskattning för MOS saknar tolkningsbarhet och fångar inte osäkerheten som är inneboende i subjektiva bedömningar. Denna avhandling introducerar DeePMOS, en ny ramverk kapabel att producera MOS-förutsägelser i form av posteriora fördelningar, vilket ger en mer nyanserad och förståelig representation av tal-kvalitet. DeePMOS antar en CNN-BLSTM-arkitektur med flera förutsägelsehuvuden för att modellera Gaussiska och Beta-posteriora fördelningar. För robust träning använder vi en kombination av maximum-likelihood learning, stokastisk gradientbrus och en student-lärare inlärningsuppsättning för att hantera begränsad och brusig träningsdata. Resultaten visar DeePMOS konkurrenskraftiga prestanda, särskilt DeePMOS-B som uppnår state-of-the-art prestanda på uttalnivå. Signifikansen ligger i att ge noggranna förutsägelser tillsammans med en mått på förtroende, vilket ökar transparensen och tillförlitligheten. Detta öppnar möjligheter för tillämpningar inom områden som telekommunikation och ljudbehandlingssystem. Framtida arbete kan utforska ytterligare posteriora fördelningar, utvärdera modellen på högkvalitativa dataset och överväga att inkludera lyssnarberoende poäng.

Die Bedingungen für die Vermarktung von Fischereierzeugnissen sind streng geregelt. Die Deutsche Fisch-Hygiene-Verordnung (VO) schreibt in den §§ 4 (1) und 6 vor, dass alle Fische unverzüglich nach dem Fang und der Tötung ausgenommen werden müssen. In diesem Punkt ist die deutsche VO strenger als das europäische Gemeinschaftsrecht (RL 91/493/EWG). Sowohl durch die in einzelnen Bundesländern unterschiedliche Auslegung des Begriffes "unverzüglich" als auch durch die in anderen EU-Ländern erlassenen Vorschriften ergibt sich eine gewisse Rechtsunsicherheit bei der Vermarktung von Ganzfischen. Im Gegensatz zu Seefischen gibt es bei Süßwasserfischen nur wenige Untersuchungen zum Vergleich der sensorischen und hygienischen Parameter von ausgenommen und unausgenommen gelagerten Fischen. Ziel der Untersuchungen war es daher, an den zwei Modellfischarten Regenbogenforelle (Oncorhynchus mykiss) und Ostsee-Zander (Sander lucioperca) gesundheitlich-hygienische als auch qualitative Gründe für bzw. gegen das Ausnehmen von Süßwasserfischen zu ermitteln. Zum einen wurde während der Lagerung bis zum Verderb wiederholt der Keimstatus der Fische bestimmt, wobei sowohl die Verderbsorganismen als auch potentiell humanpathogene Keime (Vibrio spp., Aeromonas spp., Clostridium spp., Salmonella spp., Listeria spp.) im Fischgewebe erfasst wurden. Zum anderen wurden fischartspezifische Frischegrad- und Kochprobenschemata entwickelt, die den Verderbsprozessen der beiden Süßwasserfischarten während der Lagerung angepasst sind und für eine Bestimmung der sensorischen Eigenschaften angewendet werden können. Darüber hinaus erfolgte bei den Zandern eine Untersuchung der Muskulatur und der Eingeweide auf einen Befall mit humapathogenen Nematoden und eine Bestimmung von flüchtigen Basenstickstoff (TVB-N) in der Filetmuskulatur. Die vorliegenden Ergebnisse lassen den Schluss zu, dass unausgenommene Fische, sofern eine optimale Lagerung gewährleistet ist, hygienisch unbedenklich sind und für einen Zeitraum von einigen Tagen qualitativ gleichwertig mit ausgenommenen Fischen bleiben, bevor autolytische Bauchhöhlenprozesse die Qualität des Ganzfisches beeinträchtigen. Dabei hängt der Zeitraum unter anderem von der Fischart und dem Nüchterungsgrad ab. Mikrobiologische Gründe sprechen eher gegen ein frühzeitiges Ausnehmen, da die bakterielle Belastung der Bauchhöhle durch die Schlachtung höher ausfällt als bei unausgenommen gelagerten Fischen. Demnach kann durch ein spätes Ausnehmen zwar ein schnellerer Qualitätsverlust bei Ganzfischen auftreten, aber aus hygienischer Sicht, auch im Zusammenhang mit humanpathogenen Keimen, ist eine erhöhte Gesundheitsgefährdung des Verbrauchers nicht zu erwarten. / Conditions for the marketing of fishery products are strictly regulated. In Germany, the fish hygiene regulations (§§ 4(1) and 6) demand the gutting of all fishes immediately after the catch. This regulation is more restrictive than the corresponding EU-legislation (RL 91/493/EWG). But several German counties interprete the term "immediately" differently, and most other EU-countries have more permitting regulations, thus creating legal ambiguities in the marketing of whole fishes. Unlike the situation in seafish there are only few surveys in fresh water fish comparing possible sensoric and hygienic effects of gutted and ungutted storage. The aim of this study therefore was to examine health and hygiene related as well as qualitative reasons for or against an immediate gutting of freshwater fish, using aquaculture rainbow trout (Oncorhynchus mykiss) and pike-perch (Sander lucioperca) from the Baltic Sea as model fish species. The bacterial load in several tissues of gutted and ungutted fish, spoilage organisms as well as potentially pathogenic bacteria (Vibrio spp., Aeromonas spp., Clostridium spp., Salmonella spp., Listeria spp), were determined repeatedly throughout the storage period and statistically compared. Furthermore, species-specific grading schemes for the whole fish as well as for steamed fillets were developed that allowed the assessment of spoilage and of the sensoric characteristics of gutted and ungutted fishes. In pike-perch, muscle tissue and guts were examined for pathogenic nematode larvae and the fillet content of total volatile basic nitrogen was determined. The results of this study lead to the conclusion that ungutted fish, as long as optimal storage conditions are guaranteed, bear no special hygienic risks and keep a quality comparable to gutted fish for at least some days before autolytic processes in the body cavity compromise the quality of the whole fish. The length of this storage period depends mainly on the fish species and the filling of the digestive tract. From a microbiological point of view early gutting is not advisable because the gutting process itself results in a higher bacterial contamination of the body cavity than that found in fish stored ungutted. Therefore, a later gutting may lead to a faster loss of quality in whole fish but a higher hygienic risk for the consumer, even in connection with bacteria pathogenic for humans, can not be stated.

Im Rahmen dieser Arbeit wird ein Konzept entwickelt und umgesetzt, welches eine umfassende Bewertung von Daten flugzeuggetragener hyperspektraler Systeme ermöglicht. Es baut auf mehreren aktuellen Initiativen zur Erfassung der Datenqualität flugzeuggetragener Sensoren auf: Der ''European Facility for Airborne Reseach'', der ''Quality Assessment for Earth Observation Workgroup'' und dem ''Joint Committee for Guides in Metrology''. Bei der Befliegung eines Gebietes mit hyperspektralen Sensorsystemen werden mehrere, teilweise sich überlappende, Flugstreifen aufgenommen. Es wird vorgeschlagen, die Bildinformationen dieser Überlappungsbereiche als redundant anzusehen und so die innere Variabilität der Daten zu erfassen. Die jeweils zwischen zwei Flugstreifen auftretende Variabilität kann (aufgrund unterschiedlicher Blickrichtungen) als ungünstigster anzunehmender Fall (''worst-case'') betrachtet werden und ergänzt daher existierende Ansätze, die sich auf die Auswertung homogener Flächen konzentrieren. Das entwickelte Konzept ist auf unterschiedliche Sensorsysteme anwendbar, somit generisch und kann problemlos in die aktuelle Datenprozessierungskette des Deutschen Zentrums für Luft- und Raumfahrt e.V. integriert werden. Im ersten Abschnitt der Arbeit wird dargelegt, wie korrespondierende Pixelpaare, die in den jeweiligen Streifen an gleicher Geolokation liegen, ermittelt werden können. Darauf aufbauend erfolgt eine Plausibilitätsüberprüfung der erfaßten Pixelpaare unter Verwendung von Zuverlässigkeitsmetriken, die auf Basis höherwertigerer Datenprodukte berechnet werden. In einem weiteren Schritt werden die Ergebnisse genutzt, um die notwendigen Parameter für eine optimierte Bildauswertung - hier im Sinne der Zuverlässigkeit - abzuleiten. Abschließend werden die Pixelpaare benutzt, um die globale Variabilität der Reflektanzwerte abzuschätzen. Insgesamt werden durch diese Arbeit die existierenden Methoden zur Qualitätskontrolle optischer Bilddaten umfassend ergänzt. / This work proposes a methodology for performing a quality assessment on the complete airborne hyperspectral system, thus ranging from data acquisition up to land-product generation. It is compliant with other quality assessment initiatives, such as the European Facility for Airborne Research (EUFAR), the Quality Assessment for Earth observation work-group (QA4EO) and the Joint Committee for Guides in Metrology (JCGM). These are extended into a generic framework allowing for a flexible but reliable quality assessment strategy. Since airborne hyperspectral imagery is usually acquired in several partially overlapping flight-lines, it is proposed to use this information redundancy to retrieve the imagery''s internal variability. The underlying method is generic and can be easily introduced in the German Aerospace Center DLR''s hyperspectral processing chain. The comparison of two overlapping flight-lines is not straightforward, should it only be because the presence of geo-location errors present in the data. A first step consists in retrieving the relative variability of the pixel''s geo-locations, hence providing pairs of pixels imaging the same areas. Subsequently, these pairs of pixels are used to obtain quality indicators accounting for the reproducibility of mapping-products, thus extending the EUFAR''s quality layers up to land-products. The third stage of the analysis consists of using these reliability results to improve the mapping-products: it is proposed to maximise the reliability over the mapping-methods'' parameters. Finally, the repeatability assessment is back propagated to the hyperspectral data itself. As a result, an estimator of the reflectance variability (including model-, and scene-induced uncertainties) is proposed by means of a blind-deconvolution approach. Altogether, this complements and extends the EUFAR quality layers with estimates of the data and products repeatability while providing confidence intervals as recommended by JCGM and QA4EO.

Text in English / Undergraduate students at the Eduardo Mondlane University (UEM) experience great difficulty in developing their translation competence during their training period. On the one hand, they show many signs of poor quality during their training when they accomplish practical translation assignments on and off-campus. On the other hand, the quality of the final work submitted in partial fulfilment of the requirements for the Bachelor Honours Degree (Licenciatura) suggests that most students fail to go beyond the minimum standards with regard to translation competence. Yet, comprehensive research aimed at understanding factors hindering translation competence at the UEM has been scanty. Besides, the few studies available have some significant lacunae, for they focus on Portuguese language development; are limited to error analysis, and often ignore students‟ perspectives. Consequently, the problem of finding a balanced approach to developing students‟ translation competence has remained unaddressed. Therefore, this study has been conducted with the purpose of investigating the translation competence of the UEM undergraduates in order to establish the major obstacles to their translation competence development, and consequently come up with suggestions for improving the current translator-training degree programme. The study design uses qualitative methods translated into a case study approach. First, questionnaire data is analysed to gain lecturers‟ and students‟ perspectives on translation competence at the UEM. Second, a students‟ error typology is developed following a macro- and micro-textual analysis of their translations. The study concludes that substandard bilingual skills, compounded by curricular, attitudinal/motivational, pedagogical and infrastructural/instrumental factors, negatively impact the students‟ development of translation competence at the UEM and that addressing these may pave the way towards improving the current translation-training programme. / Linguistics and Modern Languages / M.A. (Linguistics)

Submitted in fulfillment of the requirements for the Doctoral Degree in Nursing, Durban University of Technology, Durban, South Africa, 2016. / This mixed methods study aimed to assess the functioning and processes of the Fast Queue Service Point in order to analyse the quality of care rendered in primary health care (PHC) facilities in the eThekwini district of the KwaZulu­ Natal Province in South Africa. The Fast Queue Service Point provides service in PHC facilities for health care users requiring short consultations. Congestion of PHC facilities is a result of increased access to PHC services with the introduction of free PHC services. This congestion was aggravated by the decentralization of services from hospitals to PHC level such as the introduction on Nurse Initiated Management of Anti-Retroviral Therapy (NIMART). In 2010, the National Core Standards (NCS) for health establishments were formulated further to the PHC Service package, to address issues of quality. An explanatory sequential mixed methods study design was used and data collection was conducted in two phases; the quantitative data collection phase consisting of two subsets of observations namely; the retrospective record review and structured observations of the Fast Queue Service Point process. The Statistical Package for the Social Sciences (SPSS) version 22 was used to analyse data. During the second phase semi-structured interviews were conducted with PHC staff members to describe their experiences of the Fast Queue Service Point and to clarify issues from the quantitative phase. Although Fast Queue Service users received sufficient care, there were important care assessments that had been inadequately performed or omitted. These included discussing side effects of medications and or immunizations and management thereof. Childrens' weights were not interpreted, an important aspect for children under five years of age. There was also lack of supportive supervision coupled with shortage of resources and too many time-consuming written records that were required to compile accurate statistics. Retraining and in-servicing of health personnel and making resources available, would assist in strengthening patient assessment, management and recording thereof. While clinic managers require to offer supportive supervision to health care providers, provision of lower categories of staff would be beneficial in supporting PNs and ENs so that they have time to compile records for statistics purposes, which were found to be taking up the bulk of their time. The framework for continuous quality improvement in implementing a Fast Queue Service in PHC settings was developed based on the findings of the study / D

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