Results 101 to 110 of about 1,189,261 (324)

tDCS and neurofeedback in ADHD treatment

open access: yesFrontiers in Systems Neuroscience
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

open access: yes, 2013
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

open access: yesAdvanced Science, EarlyView.
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

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

open access: yesAdvanced Science, EarlyView.
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

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

open access: yesAdvanced Science, EarlyView.
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

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents [PDF]

open access: gold, 2021
Shunyu Yao   +2 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

open access: yesAdvanced Science, EarlyView.
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

MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

open access: yesJournal of Biomedical Semantics
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

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