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Multilingual evaluations often score a model's opening yes or no, a token that also carries model and language answering conventions. We ask when different ways of eliciting and reading an answer recover the same judgmen...
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Wearable devices increasingly support personalized health and well-being applications, but post-deployment data can differ substantially from those used for training, while purely local adaptation may be limited by the d...
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This study presents a bibliometric analysis to examine the intellectual structure, thematic evolution, and research dynamics of artificial intelligence (AI) in higher education management. Using 279 Scopus-indexed journa...
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This chapter explores the evolving governance landscape of private education in China, focusing on recent policy reforms that have significantly reshaped the sector in the last 30 years. Drawing on a wide range of offici...
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Hate speech is a global crisis. Social media platforms’ algorithms amplify racism, incitement and misinformation at scales previously inconceivable. Bringing together academics, policy specialists, lawyers, attorneys, co...
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Celem badań było ustalenie znaczenia rodzinnych i osobowych uwarunkowań osiągnięć szkolnych za wskaźnik których, przyjęto oceny szkolne uczniów. Oczekiwano odpowiedzi na pytanie, jakie czynniki objaśniają osiągnięcia szk...
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This paper addresses decentralized estimation and control of heterogeneous multi-agent systems communicating over directed switching topologies. The objective is to satisfy cooperative tasks that require coordination amo...
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This study compares ten digital 3D acquisition techniques applied to violin family instrument plates, assessing their accuracy and relevance for scientific and cultural heritage applications. Evaluated methods include tw...
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Reliable microstructural parameter estimation in diffusion MRI (dMRI) critically depends on the acquisition protocol. Yet, common protocol design criteria may not fully reflect estimator bias, parameter constraints, and ...
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Structural Causal Models (SCMs) provide a principled framework for observational, interventional, and counterfactual reasoning, all of which rely on probabilistic inference. Existing frameworks either transform SCMs into...
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Reach-avoid sets, defining the states from which a task can be completed while avoiding unsafe regions, are fundamental tools for deploying robots in environments subject to disturbances and uncertainty, as well as for r...
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Gradient clipping is a key tool for obtaining high-probability convergence guarantees for stochastic first-order methods under heavy-tailed noise. Existing analyses typically assume a bounded central moment of order $α\i...
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The single-stage isolated eXtended-functionality rectifier (X-Rectifier) electric vehicle (EV) on-board charger (OBC) employs 650V GaN monolithic bidirectional power transistors (M-BDS) in the input stage, provides sinus...
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The research focuses on the thermal interface design of the HAKUTO Rover Flight Model (FM) and its evaluation using the final thermal vacuum experiment. Initially, an analytical thermal model was developed, dividing the ...
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We present SIGNN++, a learning-based star identification (SID) framework for celestial navigation in GNSS-denied nighttime environments. Although researchers have developed learning-based SID methods to improve robustnes...