Results 81 to 90 of about 152,300 (264)
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
Efficient AUC Optimization for Information Ranking Applications
Adequate evaluation of an information retrieval system to estimate future performance is a crucial task. Area under the ROC curve (AUC) is widely used to evaluate the generalization of a retrieval system. However, the objective function optimized in many
C Cortes +6 more
core +1 more source
NR4A1 Exerts Pro‐Tumor Role in Glioblastoma via Inducing xCT/GPX4‐Regulated Ferroptosis
ABSTRACT Purpose This study investigates NR4A1's paradoxical roles in glioblastoma (GBM) progression, focusing on its mechanistic link to ferroptosis regulation. We aimed to resolve conflicting reports of NR4A1 as both an oncogene and a tumor suppressor by defining its transcriptional control over xCT/GPX4‐mediated iron homeostasis and its clinical ...
Peng Tao +10 more
wiley +1 more source
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 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.
Budi Yulianto +2 more
doaj +1 more source
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
Learning a Deep Listwise Context Model for Ranking Refinement
Learning to rank has been intensively studied and widely applied in information retrieval. Typically, a global ranking function is learned from a set of labeled data, which can achieve good performance on average but may be suboptimal for individual ...
Ai, Qingyao +3 more
core +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
IDENTIFYING DOCUMENT-LEVEL TEXT PLAGIARISM: A TWO-PHASE APPROACH [PDF]
The rapid evolution of information content and its ease of access have made the field of research and academia so vulnerable to plagiarism. Plagiarism is an act of intellectual theft and information breach which must be restricted to ensure educational ...
VANI K., DEEPA GUPTA
doaj
Retractions in rheumatology: trends, causes, and implications for research integrity
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source

