Results 141 to 150 of about 3,625,950 (296)
Using Semantic Web Technologies to Support Information Processing and Coalition Decision-Making
This paper outlines three techniques and tools which have recently arisen from Semantic Web research in the International Technology Alliance. The first of these techniques is POAF (Portable Ontology Aligned Fragments), which addresses issues relating to
Smart, Paul +5 more
core +1 more source
The influences of narrative perspective shift and scene detail on narrative semantic processing
The embodied view of semantic processing holds that readers achieve reading comprehension through mental simulation of the objects and events described in the narrative.
Jian Jin, Siyun Liu
doaj +1 more source
Effects of Cerebellar Stimulation on Processing Semantic Associations
Current research in cerebellar cognitive and linguistic functions makes plausible the idea that the cerebellum is involved in processing temporally contiguous linguistic input.
Argyropoulos, Giorgos P +1 more
core +1 more source
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source
Distributed and Parallel Path Query Processing for Semantic Sensor Networks
As the sensor networks are broadly used in diverse range of applications, Semantic Web technologies have been adopted as a means to manage the huge amount of heterogeneous sensor nodes and their observation data. Large amount of sensor data are annotated
서동민 +4 more
core
DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang +24 more
wiley +1 more source
A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment
MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu +15 more
wiley +1 more source
Does N200 Reflect Semantic Processing?-An ERP Study on Chinese Visual Word Recognition
Recent event-related potential research has reported a N200 response or a negative deflection peaking around 200 ms following the visual presentation of two-character Chinese words.
Du, Yingchun, Zhang, Qin, Zhang, John X.
core
Folksonomies, the semantic web, and movie recommendation [PDF]
While the Semantic Web has evolved to support the meaningful exchange ofheterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily ...
C. CATTUTO +13 more
core

