Results 101 to 110 of about 1,189,261 (324)
tDCS and neurofeedback in ADHD treatment
Attention deficit hyperactivity disorder (ADHD) stands as one of the most prevalent neurodevelopmental disorders, affecting millions worldwide. While traditional pharmacological interventions have been the cornerstone of ADHD treatment, emerging novel ...
Alexandra Bernadotte +3 more
doaj +1 more source
Semantics for Probabilistic Inference
A number of writers(Joseph Halpern and Fahiem Bacchus among them) have offered semantics for formal languages in which inferences concerning probabilities can be made. Our concern is different.
Kyburg Jr, Henry E.
core
Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang +17 more
wiley +1 more source
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu +11 more
wiley +1 more source
Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions [PDF]
Abhishek Potnis +2 more
openalex +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
Synchronous semantics of multi-mode multi-periodic systems
Frédéric Fort, Julien Forget
openalex +2 more sources
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents [PDF]
Shunyu Yao +2 more
openalex +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the raw texts of scholarly publications.
Houcemeddine Turki +7 more
doaj +1 more source

