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Institution

Østfold University College

EducationHalden, Norway
About: Østfold University College is a education organization based out in Halden, Norway. It is known for research contribution in the topics: Context (language use) & Health care. The organization has 438 authors who have published 1213 publications receiving 12510 citations. The organization is also known as: HiØ.


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Journal ArticleDOI
TL;DR: A need to clarify pre-treatment expectations and refining criteria for treatment suitability is indicated and the findings have contributed to the chain of clinical evidence regarding the PED-t and may lead to treatment modifications improving the treatment and thereby reducing drop out.
Abstract: Purpose: Eating disorders (ED) are complex and severe illnesses where evidence-based treatment is needed to recover. However, about half of the patients with ED do not respond to treatments currently available, which call for efforts to expand the portfolio of treatments. The aim of this study was to explore experiences from patients who dropped out of a new treatment for bulimia nervosa and binge ED, combining physical exercise and dietary therapy (PED-t).Methods: We conducted open-ended face-to-face interviews. The interviews were transcribed verbatim and the data were analysed with a phenomenological hermeneutical approach.Results: Three themes emerged: "standing on the outside", "unmet expectations" and "participation not a waste of time". Feelings of standing on the outside were elicited by being different from other group members and having challenges with sharing thoughts. Unmet expectations were related to treatment content and intensity, as well as the development of unhealthy thoughts and behaviours. Finally, some positive experiences were voiced.Conclusion: A need to clarify pre-treatment expectations and refining criteria for treatment suitability is indicated. The findings have contributed to the chain of clinical evidence regarding the PED-t and may lead to treatment modifications improving the treatment and thereby reducing drop out.

3 citations

Book ChapterDOI
23 Sep 2020
TL;DR: More specific measures targeting competencies are needed: this differentiated approach must reflect course specificities, but also be general enough to be transferable to other courses as mentioned in this paper. But these metrics do not reflect the various competencies and specific outcomes that make up a course.
Abstract: Various courses and trainings aim to teach cybersecurity with only few measures for learning outcomes. Existing metrics such as general grades do not reflect the various competencies and specific outcomes that make up a course. More specific measures targeting competencies are needed: this differentiated approach must reflect course specificities, but also be general enough to be transferable to other courses.

3 citations

Proceedings ArticleDOI
01 Nov 2019
TL;DR: In this article, the authors presented the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually.
Abstract: Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translates into a more efficient use of resources, reduced production time, output of higher quality and reduced waste. Given the complexity of today’s industrial processes, it becomes infeasible to monitor and optimize them without the use of information technologies and analytics. In recent years, machine learning methods have been used to automate processes and provide decision support. All of this, based on analyzing large amounts of data generated in a continuous manner. In this paper, we present the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually. We used data from process parameters to train different models including Random Forest, Neural Network and linear regression in order to predict product quality values. Our experiments showed that it is possible to predict those product quality values with good accuracy, thus, having the potential to reduce time. Specifically, the best results were obtained with Random Forest with a mean absolute error of 0.089 and a correlation of 0.978.

3 citations

Journal ArticleDOI
TL;DR: EuroSPI 2017 received a large amount of submissions from authors, and seven articles were selected for their publication in this special issue based on established quality criteria, novelty, and interest.
Abstract: EuroSPI is an annual conference series devoted to Software Process Improvement (SPI), and the exchange of best practices in related domains organized since 1994. In 2009, EuroSPI created the SPI manifesto and, also, enriched the term SPI over the last 25 years: System, Software, Services, Safety, Security Process and Product Improvement, Innovation, and Infrastructure (SPI). From 2017 onwards, EuroSPI created a set of thematic workshops, which deal with specific knowledge areas for the European 2030 agenda. Big changes towards networked societies, self‐driving cars and planes, new e‐mobility concepts will arise, and more exchange of best practices will be needed to support these new developments. Lead papers from those thematic topics will be selected for the journal in the years to follow. EuroSPI 2017 received a large amount of submissions from authors. All submissions were peer reviewed by top experts in the given research area. From the set of accepted papers, seven articles were selected for their publication in this special issue based on established quality criteria, novelty, and interest. Editors hope this new set is able to provide insights on software process, its evolution, and new developments to practitioners and researchers alike. In what follows, the seven papers are presented and briefly discussed: The paper “ISO 31000‐based Integrated Risk Management Process Assessment Model for IT Organizations” by Barafort, Mesquida, and Mas presents an integrated risk management process assessment model based on ISO 31000 for information technology (IT) organizations integrating also dimensions with other relevant standards like ISO 9001, ISO 21500, ISO/IEC 20000‐1, and ISO/IEC 27001. Process assessment models have been very popular in the software and IT service management scenarios, however, specializations of process assessment models devoted to risk management are not prevalent in the scientific literature. In the paper, authors describe the elicitation and description of processes for the construction of an integrated risk management process assessment model for IT organizations. In “GSEPIM: A Roadmap for Software Process Assessment and Improvement in the Domain of Global Software Development” by Khan, Keung, Niazi, Hussain, and Shameem, authors present the initial steps towards a model to support organizations embracing Global Software Development (GSD) to assess and improve SPI initiatives. GSD began to be a hot topic by the beginning of the 21st century also pioneered in the EuroSPI community and is still one of the main fields of research in the software engineering arena. This paper cannot only be seen as a continuation of a set of efforts on the topic but also a good path towards future developments in the field. “Integration of accessibility design patterns with the software implementation process of ISO/IEC 29110” is authored by Sánchez‐Gordón et al. In the paper, authors enrich ISO/IEC 29110 by introducing design patterns defined to make web applications accessible for users with visual impairments. The approach is validated in an online course. Although studies surrounding ISO/IEC 29110 are quite pervasive in the community, eg, the enrichment of this standard with patterns to improve accessibility is a novel effort that deserves attention. Rajaram, Loane, MacMahon, and McCaffery are the authors of the paper entitled “Taxonomy Based Testing and Validation of a new Defect Classification for Health Software.” The Association for the Advancement of Medical Instrumentation is developing a defect taxonomy that will be published as a standard for health software. In this work, authors validate this taxonomy by means of three different methods. Health software and its process have been in the focus of research recently, and this paper follows the trend with increasing importance in the software community of testing and validation, this time, in the health software domain. In the paper “Formulation of process improvement knowledge: 7 components of a good PI story”, Norimatsu, Endo, Usugi, Niwa, and Tange present a knowledge model developed at the Japan Software Process Improvement Consortium that consists of seven information elements that can be used to present process improvement information in papers or reports. These elements form a template that can be used for any process improvement effort as a valid tool for monitoring or assessment. Knowledge management is a key aspect in software process improvement, and initiatives like the one presented here by Norimatsu et al provide a useful tool to practitioners and researchers alike. The paper “Lean and Agile Software Process Improvement in Traditional and Agile Environments” by Poth, Sasabe, Mas, and Mesquida overview agile and lean approaches and their connection to continuous SPI approaches. The integration of agile and lean approaches in SPI scenarios is not new, and the literature reported many and recent efforts, eg, Poth et al present a review not only based on experience but also on an in‐depth study of the synergies that occur between these two not‐so‐opposed worlds.

3 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202221
2021238
2020180
2019136
2018115