Re‐Imagining Regulatory Governance
Regulation &Governance, EarlyView.ABSTRACT This paper invites the readers to rethink regulatory governance by examining how trust‐based and rule‐based governance interact. To do this, it uses analytical narratives of three fictional polities: “Trustland”, “Regland”, and “Concordia”. Each polity represents a stylized model of governance: Trustland is anchored in trust‐based governance ...
David Levi‐Faur
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Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure. [PDF]
Sci RepTanriverdi Eyolcu A +5 more
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Prediction of college student psychological state based on deep learning framework combining the improved Whale Optimization Algorithm and LSTM. [PDF]
Sci RepSun X, Liu H.
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Preference‐Based Representations for Collective Agency
Topics in Cognitive Science, EarlyView.Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir +2 more
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Primate-Inspired Cooperation Emergence and Strategy Generation in Heterogeneous Robot Swarm. [PDF]
Research (Wash D C)Wu B, Xiao R, Zhao J.
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Psychiatric Research and Clinical Practice, EarlyView.Objective This review examined the historical development of artificial intelligence (AI) in psychiatry from 1972 to 2025 and identified persistent barriers to clinical translation. Method The review used a structured source‐identification approach across PubMed/MEDLINE, Web of Science, Google Scholar, ScienceDirect, citation tracking, and targeted ...
Esteban Zavaleta‐Monestel +5 more
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Accurate and Low-Cost Cardiac Disorder Detection from Wearable Phonocardiogram Signals Using Hybrid Feature Selection and Machine Learning. [PDF]
Biosensors (Basel)Narin A, Arslan RU, Kırkıl D.
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Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
International Transactions in Operational Research, Volume 34, Issue 1, Page 429-459, January 2027.Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
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Edge station deployment by fewest covered user first for cost improvement. [PDF]
Sci RepShao K, Wang Y, Wang B, Sang Y.
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Science Education, Volume 110, Issue 6, Page 1567-1595, November 2026.ABSTRACT This systematic literature review examines intervention studies focused on teaching science to a diverse range of learners. It adopts a broad definition of inclusion and makes use of the PRISMA statement. The review aims to provide an overview of evidence‐based teaching approaches in the current literature, identify the science skills targeted,
Silvia Fränkel +2 more
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