Results 111 to 120 of about 372,511 (339)
BackgroundWidespread adoption of electronic health records has enabled the secondary use of electronic health record data for clinical research and health care delivery.
Liu, Sijia +8 more
doaj +1 more source
TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo +11 more
wiley +1 more source
Enhancing Medical Image Retrieval with UMLS-Integrated CNN-Based Text Indexing
In recent years, Convolutional Neural Network (CNN) models have demonstrated notable advancements in various domains such as image classification and Natural Language Processing (NLP).
Karim Gasmi, Hajer Ayadi, Mouna Torjmen
doaj +1 more source
With the rapid growth of networking, cyber-physical-social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise search needs when capturing user ...
Yayuan Tang +4 more
doaj +1 more source
Ranking-based Deep Cross-modal Hashing
Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data retrievals. However, most existing hashing methods are based on hand-crafted or raw level features of objects, which may not be ...
Domeniconi, Carlotta +5 more
core +1 more source
Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis
ABSTRACT Objectives Ocrelizumab (OCR), a humanized anti‐CD20 monoclonal antibody, is highly efficient in relapsing–remitting multiple sclerosis (RR‐MS). We assessed early cellular B‐cell profiles in patients prior to OCR treatment, on OCR treatment, and after 15 months of therapy discontinuation.
Alexandra Garcia +20 more
wiley +1 more source
A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH [PDF]
Ranking search results is essential for information retrieval and Web search. Search engines need to not only return highly relevant results, but also be fast to satisfy users.
K. Latha +3 more
doaj
RankEval: Evaluation and investigation of ranking models
RankEval is a Python open-source tool for the analysis and evaluation of ranking models based on ensembles of decision trees. Learning-to-Rank (LtR) approaches that generate tree-ensembles are considered the most effective solution for difficult ranking ...
Claudio Lucchese +4 more
doaj +1 more source
Effects of Non‐Aspirin Nonsteroidal Anti‐Inflammatory Drugs on Acute Intracerebral Hemorrhage
ABSTRACT Objective Despite celecoxib, a cyclooxygenase‐2 inhibitor, promoting functional recovery from intracerebral hemorrhage (ICH) by reducing inflammation‐mediated perihematomal edema in rat models, the evidence of its effects on patient outcomes remains limited.
Shin‐Joe Yeh +3 more
wiley +1 more source
The Performance of Boolean Retrieval and Vector Space Model in Textual Information Retrieval
Boolean Retrieval (BR) and Vector Space Model (VSM) are very popular methods in information retrieval for creating an inverted index and querying terms. BR method searches the exact results of the textual information retrieval without ranking the results.
Budi Yulianto +2 more
doaj +1 more source

