| 21. |
- Ali, Nauman bin, et al.
(författare)
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On the search for industry-relevant regression testing research
- 2019
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Ingår i: Empirical Software Engineering. - New York, NY : Springer. - 1382-3256 .- 1573-7616. ; 24:4, s. 2020-2055
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Tidskriftsartikel (refereegranskat)abstract
- Regression testing is a means to assure that a change in the software, or its execution environment, does not introduce new defects. It involves the expensive undertaking of rerunning test cases. Several techniques have been proposed to reduce the number of test cases to execute in regression testing, however, there is no research on how to assess industrial relevance and applicability of such techniques. We conducted a systematic literature review with the following two goals: firstly, to enable researchers to design and present regression testing research with a focus on industrial relevance and applicability and secondly, to facilitate the industrial adoption of such research by addressing the attributes of concern from the practitioners' perspective. Using a reference-based search approach, we identified 1068 papers on regression testing. We then reduced the scope to only include papers with explicit discussions about relevance and applicability (i.e. mainly studies involving industrial stakeholders). Uniquely in this literature review, practitioners were consulted at several steps to increase the likelihood of achieving our aim of identifying factors important for relevance and applicability. We have summarised the results of these consultations and an analysis of the literature in three taxonomies, which capture aspects of industrial-relevance regarding the regression testing techniques. Based on these taxonomies, we mapped 38 papers reporting the evaluation of 26 regression testing techniques in industrial settings. © The Author(s) 2019
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| 22. |
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| 23. |
- Alinaitwe, Henry, et al.
(författare)
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Innovation Barriers and Enablers that Affect Productivity in Uganda Building Industry
- 2007
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Ingår i: Journal of Construction in Developing Countries. - Penang : Penerbit Universiti Sains Malaysia / Universiti Sains Malaysia Press. - 1823-6499 .- 2180-4222. ; 12:1, s. 59-75
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Tidskriftsartikel (refereegranskat)abstract
- Abstract: The construction industry has of recent been blamed for lack of innovation. Lack of innovation in the industry is believed to be responsible for the decreasing or stagnant levels of productivity in comparison with other industries. This paper reviews the major barriers and enables to innovation in general. Propositions were made about the factors that affect innovation in the construction industry which were then formulated into a questionnaire. A survey was made on building contractors in Uganda, a developing country, targeting those with financial strength, large in size, and with high capacity to carry out big projects. The identified factors were then ranked and correlated. The level of training in science, engineering and technical education, and the level of research and development at the industry level are looked at as the greatest innovation enablers in building that will drive forward labour productivity. The size of the domestic market and the level of security are the worst innovation barriers that lead to low productivity in the building industry in Uganda. Contractors, policy makers and the government should address the identified factors in order to improve productivity.
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| 24. |
- Almgren, Johanna, et al.
(författare)
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Patients' Health Experiences of Post COVID-19 Condition – A Qualitative Study
- 2022
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Ingår i: International Journal of Environmental Research and Public Health. - Basel : MDPI. - 1661-7827 .- 1660-4601. ; 19:21
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Tidskriftsartikel (refereegranskat)abstract
- Patients who suffer from long-term symptoms of COVID-19, described as post COVID-19 condition, are a new and large group of patients. There is a lack of knowledge concerning health experiences in this patient group. The aim of this study was to explore patients' health experiences of post COVID-19 condition. Data collection was performed through 14 semi-structured interviews. The qualitative content analysis resulted in six sub-categories, three categories, and an overall theme. Patients experienced symptoms of varying duration-ranging from 5-21 months. The results showed that patients' health experiences of post COVID-19 condition moved between uncertainty and new insights. This was shown by patients experiencing: (1) loss of abilities, including losing smell and taste and lacking energy, (2) loss of control, including being foreign to oneself and seeking answers, and (3) revaluation of life, including accepting the transformed body and prioritizing health. This study illustrates that patients living with post COVID-19 condition need to be treated with flexibility, based on each individual's unique challenges and experiences of the symptoms and the consequences for their health. © 2022 by the authors.
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| 25. |
- AlNasseri, Hammad Abdullah, et al.
(författare)
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A taxonomy of planning and scheduling methods to support their more efficient use in construction project management
- 2016
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Ingår i: Journal of Engineering, Design and Technology. - Bingley : Emerald Group Publishing Limited. - 1726-0531 .- 1758-8901. ; 14:3, s. 580-601
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The implementation and control processes of project planning and scheduling involve a wide range of methods and tools. Despite the development and modification and integration of the project management theory with newer scheduling approaches in particular, practitioners’ views on the efficiency and effectiveness of these methods and tools differ. This situation can be attributed in part to a lack of understanding of the most appropriate basis for implementing these methods and tools. This study, therefore, aims to overcome this deficiency by conceptualizing and adopting a taxonomy of planning and scheduling methods.Design/methodology/approach: The study is based on a review and discourse analysis of the literature covering a large number of theoretical and empirical studies. The underlying theories of various planning and scheduling methods were analyzed with respect to the taxonomy criteria adopted in the study.Findings: Using the taxonomy, the key characteristics of planning and scheduling methods considered in this study were identified and interpreted. These included concepts and theories; key features; suitability and usability; and benefits and limitations. Overall, the findings suggest that project managers should consider taxonomy as a support tool for selecting and prioritizing the most appropriate method or combination of methods for managing their projects. Recommendations include the need for more advanced or multi-dimensional taxonomies to cope with the diversity of project type and size.Originality/value: The results of the study allow project managers to improve their current practices by utilizing taxonomy when considering the implementation of planning and scheduling methods. Moreover, taxonomy can be considered as a tool to promote learning on the part of those less experienced in planning and scheduling. Taxonomy can be considered as an initial platform for further research in this area. © 2016, © Emerald Group Publishing Limited.
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| 26. |
- AlNasseri, Hammad Abdullah, et al.
(författare)
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Towards a Taxonomy of Planning and Scheduling Methods in the Context of Construction Management.
- 2013
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Ingår i: [Host publication title missing]. - Trondheim : Akademika forlag. - 9788232102730 ; , s. 570-581
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Konferensbidrag (refereegranskat)abstract
- Planning and scheduling are considered as one of the most difficult but most important processes from perspectives of project management. These processes involve implementation of a widerange of planning methods used by different organizations with various levels of planning knowledge. The planning methods for scheduling can be classified as traditional methods (e.g. line of balance, Gantt chart and critical path) and modern methods (e.g. last planner and critical chain). Over time these methods had advanced from paper based to computer based. However, some project planners still prefer using the traditional methods despite other new alternatives. Users of those methods have different perspectives about the efficiency and effectiveness of the different planning methods used to manage different projects. Evidences from the secondary data found from extensive literatures have been used to assess the planning and scheduling methods mentioned above. A taxonomy describing each of the method in terms of their theories, key features, application areas, benefits and limitations is presented. The preliminary outcome of this paper may provide a tool to aid organizations in selecting and prioritizing the most appropriate methods to be developed and implemented in planning and scheduling of their projects. It also initializes a theoretical base for more rapid taxonomy studies on the use of different planning and scheduling approaches. As an overall, the present paper reminds practitioners of common ground about its important insights on how such taxonomy studies have potential to make scope of those methods and tools clearer, especially when they compare among them within the same application contexts.
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| 27. |
- Altermark, Niklas, et al.
(författare)
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Neuro-Problems : Knowing Politics Through the Brain
- 2018
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Ingår i: Culture Unbound. Journal of Current Cultural Research. - Linköping : Linköping University Electronic Press. - 2000-1525 .- 2000-1525. ; 10:1, s. 31-48
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Tidskriftsartikel (refereegranskat)abstract
- In recent years, neuroscientific knowledge has been applied far beyond its context of emergence to explain human behaviour in general and to address a host of specific societal problems. In this article, we discuss the emerging research field of ‘neuropolitics’ that seeks to bring neuroscientific methods and findings to political science. Neuropolitics is investigated as a particular way of approaching political problems as located in the brain. We argue that neuropolitics research gives expression to a rationality of government that allows researchers to put forward policy prescriptions based on neuroscientific knowledge. Neuropolitics thus run the risk of leading to what we call a ‘pathologisation of politics’, that turns political problems into biological deviations.
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| 28. |
- Amirahmadi, Ali, 1994-, et al.
(författare)
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A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
- 2023
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Ingår i: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. - Amsterdam : IOS Press. - 1879-8365 .- 0926-9630. - 9781643683881 ; 302, s. 609-610, s. 609-610
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Konferensbidrag (refereegranskat)abstract
- Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to predict it using other sources (e.g., ATC codes).
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| 29. |
- Amirahmadi, Ali, 1994-, et al.
(författare)
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Deep learning prediction models based on EHR trajectories : A systematic review
- 2023
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Ingår i: Journal of Biomedical Informatics. - Maryland Heights, MO : Academic Press. - 1532-0464 .- 1532-0480. ; 144
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Forskningsöversikt (refereegranskat)abstract
- Background: : Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients’ future health-related risks. It enables healthcare systems to increase the quality of care through early identification and primary prevention. Deep learning techniques have shown great capacity for analyzing complex data and have been successful for prediction tasks using complex EHR trajectories. This systematic review aims to analyze recent studies to identify challenges, knowledge gaps, and ongoing research directions. Methods: For this systematic review, we searched Scopus, PubMed, IEEE Xplore, and ACM databases from Jan 2016 to April 2022 using search terms centered around EHR, deep learning, and trajectories. Then the selected papers were analyzed according to publication characteristics, objectives, and their solutions regarding existing challenges, such as the model's capacity to deal with intricate data dependencies, data insufficiency, and explainability. Results: : After removing duplicates and out-of-scope papers, 63 papers were selected, which showed rapid growth in the number of research in recent years. Predicting all diseases in the next visit and the onset of cardiovascular diseases were the most common targets. Different contextual and non-contextual representation learning methods are employed to retrieve important information from the sequence of EHR trajectories. Recurrent neural networks and the time-aware attention mechanism for modeling long-term dependencies, self-attentions, convolutional neural networks, graphs for representing inner visit relations, and attention scores for explainability were frequently used among the reviewed publications. Conclusions: This systematic review demonstrated how recent breakthroughs in deep learning methods have facilitated the modeling of EHR trajectories. Research on improving the ability of graph neural networks, attention mechanisms, and cross-modal learning to analyze intricate dependencies among EHRs has shown good progress. There is a need to increase the number of publicly available EHR trajectory datasets to allow for easier comparison among different models. Also, very few developed models can handle all aspects of EHR trajectory data. © 2023 The Author(s)
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| 30. |
- Amirahmadi, S. F., et al.
(författare)
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Arthritogenic anti-type II collagen antibodies are pathogenic for cartilage-derived chondrocytes independent of inflammatory cells
- 2005
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Ingår i: Arthritis and Rheumatism. - : Wiley. - 0004-3591 .- 1529-0131. ; 52:6, s. 1897-1906
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Some monoclonal antibodies (mAb) to type II collagen (CII) are arthritogenic upon passive transfer to mice. We undertook this study to investigate whether such mAb are pathogenic in the absence of mediators of inflammation. METHODS: The arthritogenic mAb CIIC1 and M2139, and the nonarthritogenic mAb CIIF4, each reactive with a distinct and well-defined conformational epitope on CII, were compared with control mAb GAD6. Bovine chondrocytes were cultured with one of the mAb, and on days 3, 6, and 9, antibody binding by chondrocytes and newly synthesized extracellular matrix (ECM) was examined by immunofluorescence, morphologic effects were studied by electron microscopy, and synthesis of matrix components was determined by metabolic labeling with (3)H-proline for collagen and (35)S-sulfate for proteoglycans. RESULTS: All 3 mAb to CII bound to the matrix. CIIC1 and M2139 adversely affected the cultures, whereas CIIF4 did not. CIIC1 caused disorganization of CII fibrils in the ECM without affecting chondrocyte morphology, and increased matrix synthesis. M2139 caused thickening and aggregation of CII fibrils in the ECM and abnormal chondrocyte morphology but matrix synthesis was unaffected. CONCLUSION: The unique arthritogenic capacity of particular anti-CII mAb upon passive transfer could be explained by their adverse, albeit differing, effects in primary cultures of chondrocytes. Such effects occur independent of inflammation mediators and are related to the epitope specificity of the mAb. Interference with the structural integrity of CII could precede, and even initiate, the inflammatory expression of disease.
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