Results 191 to 200 of about 123,414 (281)
Recommender Systems for Improving Personalised Research Assistance and Literature Discovery
SemanticRec helps researchers find more relevant academic papers by combining keyword‐based retrieval with SciBERT semantic understanding. Tested on 1.7M DBLP and 1M ACM records, it improves recommendation quality and contextual relevance, substantially boosting precision and F1‐score over traditional cosine and Jaccard methods, making scholarly ...
Shahzad Ahmad +3 more
wiley +1 more source
A quantum-cognitive approach to dynamic meaning construction. [PDF]
Yin M.
europepmc +1 more source
ABSTRACT Background and Aims Despite the growing burden of obesity‐related noncommunicable diseases, little is known about how obesity is incorporated into local health‐planning instruments. Therefore, this study examined the presence and structure of actions and goals related to obesity management in the municipal health plans (MHPs) of the state of ...
Renata Midoguti Joia +6 more
wiley +1 more source
Black-White Color Metaphors of Justice: Two Experiments on Justice as a Legal Value. [PDF]
Xu S, Sun W, Zhang K.
europepmc +1 more source
ABSTRACT Peer review has long been regarded as a cornerstone of scholarly communication, ensuring high quality and credibility of published research. Although academic journals trace their origins back three centuries, the procedures for evaluating submissions, particularly peer review, have undergone continuous evolution.
Dmitry Kochetkov
wiley +1 more source
Lexical meaning is lower dimensional in psychosis. [PDF]
Palominos C +7 more
europepmc +1 more source
ABSTRACT Background Large language models (LLMs) can support clinical decision‐making by parsing databases and extracting relevant information. However, evaluating drug‐induced liver injury (DILI) often requires processing lengthy clinical histories alongside reference materials like LiverTox, which can exceed context lengths of conventional LLMs ...
Alfred Zheng Ting Ho +4 more
wiley +1 more source
Benchmarking speech-to-text robustness in noisy emergency medical dialogues: an evaluation of models under realistic acoustic conditions. [PDF]
Moser D, Stanic N, Sariyar M.
europepmc +1 more source
ABSTRACT Recent advances in text‐to‐image generation have enabled generative models to produce realistic visuals from textual descriptions, transforming creative workflows in domains like fashion. However, these systems may encode and reproduce societal biases, particularly in gender representation.
María Villalba‐Osés +2 more
wiley +1 more source

