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Impact Assessment as a Legal Design Pattern—A “Timeless Way” of Managing Future Risks?
Impact assessments are increasingly employed and debated as instruments for mitigating the fundamental rights risks associated with artificial...
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Multi-file dynamic compression method based on classification algorithm in DNA storage
AbstractThe exponential growth in data volume has necessitated the adoption of alternative storage solutions, and DNA storage stands out as the most...
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Using Design Patterns to Build and Maintain the Rule of Law
Law is, and has, an architecture. This article investigates that architecture by reference to the idea of ‘pattern languages’, as described in...
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Distributed Petri nets ROS
Verifying industrial robotic systems is a complex task because those systems are distributed and solely defined by their implementation instead of...
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Motivation of persons with cerebral palsy through participatory design: where there is a will, there is a way
Researchers and practitioners have been seeking the active participation of persons with disabilities (PwD) in participatory design (PD) to assign a...
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Unlocking the Societal Potential of Smart Grid Technologies: A Multi-Dimensional Analysis
Smart Grid is a transformation of the classical electricity grid incorporating and leveraging digital technologies. Smart grid is a bundle of...
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Come in and See: Translating a Design Pattern from the Courtroom into an Online Environment
Publicity is one of the core principles in procedural law and a fundamental right related to due process. During the COVID-19 pandemic, Chilean...
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Recommendation Systems as Social Determinants of Health
Recommendation systems operate as underlying algorithms in social media platforms, e-commerce websites, online news websites, community forums, and...
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Examining generative AI user disclosure intention: an ELM perspective
Generative AI needs to collect massive information including personal information to train the model and improve the accuracy of answers. This may...
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VascuConNet: an enhanced connectivity network for vascular segmentation
Medical image segmentation commonly involves diverse tissue types and structures, including tasks such as blood vessel segmentation and nerve fiber...
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A novel parallel mammogram sharpening framework using modified Laplacian filter for lumps identification on GPU
In medical diagnosis, mammographic imaging is mainly concerned with the breast parenchymal patterns (counterbalance of glandular tissue and fatty...
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Phishing behavior detection on different blockchains via adversarial domain adaptation
Despite the growing attention on blockchain, phishing activities have surged, particularly on newly established chains. Acknowledging the challenge...
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Proximal cementation of a collarless polished tapered hip stem: biomechanical analysis using a validated finite element model
Total hip replacement (THR) with cemented stem is a common procedure for patients with hip osteoarthritis. When primary THR fails, removal of the...
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Handling class overlap and imbalance using overlap driven under-sampling with balanced random forest in software defect prediction
Various techniques in machine learning have been used for building software defect prediction (SDP) models to identify the defective software...
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SMILEY—assistive application to support social and emotional skills in SPCD individuals
AbstractAccording to the available studies, mobile applications have provided significant support in improving the diverse skills of special...
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Agile model-driven re-engineering
In this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for the re-engineering of legacy systems. The objective is to...
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Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
AbstractParkinson’s disease (PD) is a degenerative nervous system disorder involving motor disturbances. Motor alterations affect the gait according...
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A unified approach for Parkinson’s disease recognition: imbalance mitigation and grid search optimized boosting with LightGBM
The work elucidates the importance of accurate Parkinson’s disease classification within medical diagnostics and introduces a novel framework for...
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus...
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The usability and user experience of an interactive e-learning platform to empower older adults when using electronic personal health records: an online intervention study
Since the introduction of the electronic Personal Health Record (ePHR) in Germany in 2021, usage rates among those with statutory health insurance...
