Brage HiM
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Hva kreves for å stryke sykepleierstudenter i praksis som ikke har oppnådd nødvendig læringsutbytte? : en kvalitativ studie
Get PDFMange sykepleiestudenter består kliniske praksisstudier selv om de ikke har oppnådd forventet læringsutbytte. Hensikten med denne studien var å belyse hvilke grunner praksisveiledere beskriver for å stryke sykepleiestudenter i deres kliniske praksisstudier. Datamaterialet fra et åpent spørsmål i et spørreskjema, ble analysert ut fra Malteruds modell for tekstkondensering. Studien viser: 1) Studenters manglende interesse og initiativ er en viktig grunn til å ikke bestå kliniske praksisstudier, 2) Praksisveilederne vektlegger at studenter har evne til å søke og motta veiledning, 3) Alvorlige feil som grunnlag for å ikke bestå praksis, 4) Praksisveilederes beskrivelser av samarbeid med utdanningsinstitusjonene. Praksisveiledere har behov for å samarbeide tett med praksislærer i sin vurdering av sykepleiestudenter og i tillegg har de et behov for vurderingsverktøy som bygger på en felles forståelse mellom akademia og praksis. Det er behov for å trygge praksisveiledere med økt formell veilederkompetanse.publishedVersio
The impact of infrastructure investment on migration from rural islands
Get PDFThis paper explores the impact of infrastructure investment on migration from rural areas, where the population size in many cases is falling. To explore this, we examine eight rural islands where bridges and tunnels (fixed links) have replaced ferry connections. Fixed links offer a substantial reduction in travel time, as well as enabling the analysis to isolate and assess their impact. We estimate the effects on the population on the islands using a difference-in-difference approach, with islands without fixed links as control units. Using changes in accessibility to the nearest town as the explanatory variables, we estimate that a percentage change in accessibility to the nearest island increases the population size by 0.3 percent. The effects are close to zero immediately, while the rest builds up over a period of at least 15 years. On average, the estimated effect on the island population seems to be approximately what is needed to avoid a declining population. Keywords: fixed links, transport investment, migration, difference-in-differencepublishedVersio
Hvordan innvirker familieforhold, jobb/skole og sosiale relasjoner på utfordrende spillatferd?
Get PDFContributing to carbon neutrality and privatization of rail: what can the Norwegian government do to increase travels by rail? A case study considering generalized travel costs for a student travelling between universities
Get PDFThe nature of outsourcing and challenges encountered by mining firms in Ghana during the COVID-19 pandemic
Get PDFThe impact of sustainable procurement and its effectiveness in an aim to reduce environmental externalities on the context of during and post COVID 19 Pandemic: A comprehensive study on Ready-made Garments industry in Bangladesh
Get PDFForeign market re-entry : a review and future research directions
Get PDFForeign market re-entry has increasingly attracted academic interest. However, different streams of research have developed largely independently of each other, which has hindered theory development and practical advancement in the field. By reviewing 45 relevant articles in international business and related disciplines between 1996 and 2020, this study provides a systematic review and analysis of the literature on re-entry. In addition, a framework is developed to direct future research efforts. Following the logic of ‘Antecedents-Phenomenon-Consequences’ and focusing on the time dimension, this study enables better understanding of the re-entry phenomenon and provides recommendations for future research in this area. Keywords: re-entry, review, exit, foreign market, antecedents, consequencespublishedVersio
Automatic classification of UML class diagrams using deep learning technique : convolutional neural network
Get PDFUnified Modeling Language (UML) includes various types of diagrams that help to study, analyze, document, design, or develop any software efficiently. Therefore, UML diagrams are of great advantage for researchers, software developers, and academicians. Class diagrams are the most widely used UML diagrams for this purpose. Despite its recognition as a standard modeling language for Object-Oriented software, it is difficult to learn. Although there exist repositories that aids the users with the collection of UML diagrams, there is still much more to explore and develop in this domain. The objective of our research was to develop a tool that can automatically classify the images as UML class diagrams and non-UML class diagrams. Earlier research used Machine Learning techniques for classifying class diagrams. Thus, they are required to identify image features and investigate the impact of these features on the UML class diagrams classification problem. We developed a new approach for automatically classifying class diagrams using the approach of Convolutional Neural Network under the domain of Deep Learning. We have applied the code on Convolutional Neural Networks with and without the Regularization technique. Our tool receives JPEG/PNG/GIF/TIFF images as input and predicts whether it is a UML class diagram image or not. There is no need to tag images of class diagrams as UML class diagrams in our dataset. Keywords: Unified Modeling Language, Machine Learning (ML); Object-Oriented modeling, Deep Learning (DL), Convolutional Neural Networks (CNN)publishedVersio
Agent-oriented software engineering methodologies : analysis and future directions
Get PDFThe Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite the presence of agent-oriented software engineering (AOSE) methodologies. One of the moves towards compensating for this issue is to compile various available methodologies, ones that are comparable to the evolution of the unified modeling language (UML) in the domain of object-oriented analysis and design. These have become de facto standards in software development. In line with this objective, the present research attempts to comprehend the relationship among seven main AOSE methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and limitations of each competing process, structural analysis, and a case study evaluation method. This effort is made to address the significant characteristics of AOSE approaches. The main objective of this study is to conduct a comprehensive analysis of selected AOSE methodologies and provide a proposal of a draft unified approach that drives strengths (best) of these methodologies towards advancement in this area.publishedVersio
Safety systems for the oil and gas industrial facilities : design, maintenance policy choice, and crew scheduling
Get PDFThe technology of oil and gas production is associated with significant hazards. Safety Instrumented Systems (SIS) are designed to ensure proper and safe operations in this sector. This research presents a framework that produces reasonable recommendations (requirements specification) for the SIS design and maintenance with consideration of the three key perspectives relevant to any petroleum engineering project, namely those of facility operators, engineering contractors, and the authorities. The contribution of this research to the area of engineering design is simultaneously addressing the decisions on the SIS design, organization of its maintenance, and employee scheduling for the remotely-located hazardous industrial facilities. These decisions are made based on the choice of maintenance policies incorporated into a Markov model of the system functioning. Another contribution of this research to the reliability modeling area is incorporating diverse redundancy into the modeling and decision-making framework. Thus, this research explores a trade-off between the capital investments into the SIS’s design complexity and the operational expenditures associated with system maintenance and expected losses due to potential hazards. The developed multi-objective decision-making framework requires a black-box optimization approach to produce results. This research is relevant to engineering departments and contractors specializing in designing technological solutions for the petroleum sector.publishedVersio