In her ASA Footnotes article, “Meeting the Moment: Why We Can’t Afford to Let Sociology Classrooms Become Places Where Hope Comes to Die,” Ashley C. Rondini (Franklin & Marshall College) points to ...

Primary analyses will employ a linear mixed model to estimate the treatment effect at 1 year ... an external SAS program to pull data from the REDCap project, run the MSB algorithm and assign the ...

Abstract: This paper uses the cumulative prospect theory to describe the uncertainty of link impedance caused by demand changes, and introduces the prospect value to evaluate the value of each path in ...

Abstract: The traditional single intelligent algorithm has slow convergence speed in the frequency assignment, and the effect cannot meet the increasing frequency equipment in the naval battlefield.

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Objective: To construct a diagnostic model of osteoarthritis related to methylation genes using machine learning algorithms, and analyze its prognostic value and biological functions. Methods: The GSE ...

Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

Sakana AI released an open-source algorithm on Tuesday, which allows multiple artificial intelligence (AI) models to collaborate on complex problems. Dubbed Adaptive Branching Monte Carlo Tree Search ...

In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...