Results 81 to 90 of about 40,356,300 (290)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
A thread-tag based semantics for sequence diagrams [PDF]
The sequence diagram is one of the most popular behaviour modelling languages which offers an intuitive and visual way of describing expected behaviour of object-oriented software.
Dan, H +5 more
core +1 more source
Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song +8 more
wiley +1 more source
Operational semantics for SPARQL Update
Concurrent fine grained updates are essential for using RDF stores in dynamic modern Web applications, where users increasingly contribute content as often as they read content. SPARQL Update is a language proposed by the W3C for fine grained updates for
Gibbins, Nicholas +2 more
core
The Trust & Safety team compiled these metrics to identify 2020 Census misinformation ...
Team, Trust & Safety
core +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer
In the field of muscle fatigue models (MFMs), the prior research has demonstrated success in fitting data in specific contexts, but it falls short in addressing the diverse efforts and rapid changes in exertion typical of soccer matches.
Arian Skoki +4 more
doaj +1 more source
Solar Decathlon 2017 D-3: Team Overview To Date
10 pages, illustrations, team photoUpdated 100-word description of team and its goals (second iteration); Digital representation (renderings, graphic floor plan, photography of scale model, animation, etc.) of competition prototype design; Team ...
Campbell, Jamie +3 more
core +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Chemical Possibility and Modal Semantics [PDF]
In the course of their work, chemists sometimes judge particular chemical processes to be possible or impossible. In this note I examine the semantics of the notion of possibility implicit in these judgments.
Sharlow, Mark
core

