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Sophisticated reasoning, learning, and equilibrium in repeated games with imperfect feedback
We analyze the infinite repetition with imperfect feedback of a simultaneous or sequential game, assuming that players are strategically...
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Blame and praise: responsibility attribution patterns in decision chains
How do people attribute responsibility when an outcome is not caused by an individual but results from a decision chain involving several people? We...
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Persistence or decay of strategic asymmetric dominance in repeated dyadic games?
In a dyadic game, strategic asymmetric dominance occurs when a player’s preference for one strategy A relative to another B is systematically...
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Dynamically consistent menu preferences
We provide a unified analysis of dynamically consistent menu preferences in which an agent may exhibit a preference for flexibility, a preference for...
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Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets
The rise of social media has brought both opportunities and challenges to the digital age, including the proliferation of online trolls that have...
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Improve the efficiency and accuracy of ophthalmologists’ clinical decision-making based on AI technology
BackgroundAs global aging intensifies, the prevalence of ocular fundus diseases continues to rise. In China, the tense doctor-patient ratio poses...
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Padding and pruning: gerrymandering under turnout heterogeneity
Padding is the practice of adding nonvoters (e.g., noncitizens or disenfranchised prisoners) to an electoral district in order to ensure that the...
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Measuring and mitigating biases in motor insurance pricing
The non-life insurance sector operates within a highly competitive and tightly regulated framework, confronting a pivotal juncture in the formulation...
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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Generalized welfare lower bounds and strategyproofness in sequencing problems
In an environment with private information, we study the class of sequencing problems with welfare lower bounds. The “generalized welfare lower...
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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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Adaptive context-aware access control for IoT environments leveraging fog computing
The increasing use of the Internet of Things (IoT) has driven the demand for enhanced and robust access control methods to protect resources from...
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Using the ACE framework to enforce access and usage control with notifications of revoked access rights
The standard ACE framework provides authentication and authorization mechanisms similar to those of the standard OAuth 2.0 framework, but it is...
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Digital Sustainability for Energy-Efficient Behaviours: A User Representation and Touchpoint Model
In response to climate change, nations have been tasked with reducing energy consumption and lessening their carbon footprint through targeted...
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Virtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse
There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in the metaverse has been called into...
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Submarine Cables and the Risks to Digital Sovereignty
The international network of submarine cables plays a crucial role in facilitating global telecommunications connectivity, carrying over 99% of all...
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Screening of eating disorders and its related factors among Syrian undergraduates: a cross-sectional study
BackgroundEating disorders (EDs) are a complex group of disorders that affect mental and physical health and pose a challenge for medical...
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Optimization of vision transformer-based detection of lung diseases from chest X-ray images
BackgroundRecent advances in Vision Transformer (ViT)-based deep learning have significantly improved the accuracy of lung disease prediction from...
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A Taxonomy of Home Automation: Expert Perspectives on the Future of Smarter Homes
Recent advancements in digital technologies, including artificial intelligence (AI), Internet of Things (IoT), and information and communication...
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Bilateral trade with loss-averse agents
We introduce expectations-based loss aversion, which can explain the empirically well-documented endowment and attachment effect, into the classical...