Simulating relational event history data: why and how. [PDF]
Lakdawala R, Mulder J, Leenders R.
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A low‐Pt catalyst supported on zeolitic imidazolate framework (ZIF‐8)‐derived porous carbon and graphite is integrated with a halide perovskite photovoltaic, yielding cathodes that achieve a high photocurrent density (∼20 mA cm−2) under simulated sunlight and exhibit remarkable stability in acidic media over several days, thereby demonstrating a ...
Na Yeong Oh +12 more
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Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control. [PDF]
Borah B +4 more
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A deep reinforcement learning approach for dynamic transaction fee adjustment in Ethereum. [PDF]
Jang H, Shim J.
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Secure Cooperative Communications in 6G Networks: A Constrained Hierarchical Reinforcement Learning Framework with Hybrid Action Space. [PDF]
Tian X, Wang Z, Ni Y.
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A predictive map learned from diverse entorhinal inputs explains the role of context-dependent reorganization of hippocampal place cells. [PDF]
Kuniyoshi Y, Yamazaki T.
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The Technologically Mediated Motherhood Constellation: Smartphone and AI as Novel Actors in Maternal Psychic Organization. [PDF]
Cerniglia L, Cimino S.
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Underrepresented transition factors from social sciences in energy and emissions modeling
Kunnas S, Trutnevyte E.
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Actor-Network Theory (ANT) is an approach developed in the field of science and technology studies (STS) to avoid purely social and purely technical explanations for scientific and technological developments. ANT offers the departure point of symmetrical constructivism, where there are no primordially social or technical domains, only socio-technical ...
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This conceptual article draws on literature in the sociology of science on modelling. The authors suggest that if state theory can be conceptualized as an ‘engine’ rather than merely a ‘camera’, in that policy is mobilized to make the world fit the theory, then this has implications for conceptualizing states.
Passoth, Jan-Hendrik +1 more
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