Results 71 to 80 of about 12,871 (286)

Bridging the Gap between Human Motion and Action Semantics via Kinematic Phrases [PDF]

open access: green, 2023
Xinpeng Liu   +5 more
openalex   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

open access: yesAdvanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit   +43 more
wiley   +1 more source

Single‐Nucleus Multi‐Omics Reveals Hypoxia‐Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You   +12 more
wiley   +1 more source

Rich Action-Semantic Consistent Knowledge for Early Action Prediction

open access: yesIEEE Transactions on Image Processing
Early action prediction (EAP) aims to recognize human actions from a part of action execution in ongoing videos, which is an important task for many practical applications. Most prior works treat partial or full videos as a whole, ignoring rich action knowledge hidden in videos, i.e., semantic consistencies among different partial videos.
Xiaoli Liu   +3 more
openaire   +3 more sources

CONCERNING ACTION SEMANTIC VERBS

open access: yes, 2022
Active action in language includes actions - processes in nature and society, in the animal kingdom, according to the objective basis of semantic verbs. That is, action verbs differ from lexemes in that they belong to a different semantic field by their breadth and complexity, versatility, and the fact that they represent different actions specific to ...
openaire   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Supercover Semantics for Deontic Action Logic [PDF]

open access: yesJournal of Logic, Language and Information, 2019
The author constructs a formal language for deontic propositional logic which, he suggests, is better adapted than those currently available for expressing and analyzing free-choice permissions. The proposal follows \textit{R. Trypuz} and \textit{P. Kulicki} [J. Log. Comput. 25, No.
openaire   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

On the semantics of durational actions

open access: yesTheoretical Computer Science, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. CORRADINI   +2 more
openaire   +4 more sources

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

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