Results 81 to 90 of about 2,365 (187)
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
Testing the validity and adequacy of linguistic phylogenetic analyses. [PDF]
King B.
europepmc +1 more source
This study aimed to compare both the gut and salivary microbiota over time between allergic and tolerant patients and matched controls. Allergic patients with food protein‐induced enterocolitis syndrome exhibited lower gut and salivary alpha‐diversities, several genus‐level differences, and higher acetate levels than controls.
Anais Lemoine +8 more
wiley +1 more source
Moments of derivatives of quadratic Dirichlet <i>L</i>-functions with prime conductor. [PDF]
Best CG.
europepmc +1 more source
ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley +1 more source
Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study. [PDF]
Bae J +6 more
europepmc +1 more source
An extension of the basic local independence model to multiple observed classifications
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Quantum algorithms for equational reasoning. [PDF]
Rattacaso D +4 more
europepmc +1 more source
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
What do cancer patients discuss online regarding CINV management? A social media-based topic modeling study. [PDF]
Jiang H +8 more
europepmc +1 more source

