Results 241 to 250 of about 176,906 (321)
Slicing and Dictionaries: A New Approach to Medical Big Data
We present SliceDB, a dual‐dimensional data partitioning framework that optimizes healthcare data access through strategic row‐wise and column‐wise slicing coupled with semantic dictionaries, enabling efficient querying of massive clinical datasets on standard computing resources without specialized database expertise.
Jing Zhang+3 more
wiley +1 more source
A Quantum-like Approach to Semantic Text Classification. [PDF]
Gruzdeva AS+4 more
europepmc +1 more source
FastUKB: A Revolutionary Tool for Simplifying UK Biobank Data Analysis
FastUKB revolutionizes UK Biobank (UKB) data extraction through an integrated R package system with a user interface, featuring automated metadata processing, versatile selection modes, and custom file upload capabilities. Unlike traditional methods that rely on complex manual SQL/R coding, FastUKB's direct UKB‐Research Analysis Platform connection ...
Xiaohong Ke+4 more
wiley +1 more source
With the development of artificial intelligence and big data, hardware encryption has emerged as a key technology for secure communication. This study developed an HfAlOx‐based memristor with eight distinguishable resistance states, and realized novel neuromorphic hardware encryption.
Bo Sun+6 more
wiley +1 more source
iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations. [PDF]
Wei H+5 more
europepmc +1 more source
Abstract Clear cell renal cell carcinoma (ccRCC), the most common subtype of RCC, requires accurate pathological grading for effective prognosis. However, current grading methods rely heavily on subjective pathologist assessment, leading to variability.
Renyi Lu+21 more
wiley +1 more source
Syntax and Semantics of Passive and Related Constructions in Korean: A Computational Implementation
Jong‐Bok Kim, 양재형
openalex +1 more source
Bright‐field images of unstained smears. (1) Sparse erythrocytes allow straightforward intensity‐ or phase‐based segmentation. (2) Overlapping cells blur boundaries, causing over‐ or under‐segmentation and lowering rule‐based accuracy, thus motivating overlap‐aware algorithms for reliable downstream feature extraction and classification. ABSTRACT Blood
Husnu Baris Baydargil, Thomas Bocklitz
wiley +1 more source
Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies. [PDF]
Qin J, Chen S, Ye Z, Liu J, Liu Z.
europepmc +1 more source
Using latent profile analysis, we investigated the co‐occurrence of adverse experiences in two UK cohorts (UKHLS and ALSPAC, total N > 15,000). We identified four profiles in both cohorts: low adversity, peer difficulties, sibling bullying, and poly‐adversity. 17%–22% of participants reported experiencing several social adversities.
Man Shiu Kwok+3 more
wiley +1 more source