Results 171 to 180 of about 4,342 (279)

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis. [PDF]

open access: yesHeliyon, 2023
Amornbunchornvej C   +3 more
europepmc   +1 more source

“No One Told You Life Was Gonna Be This Way”: A Qualitative Exploration of Friendship Expectations and Reality in University Life

open access: yesJournal of Adolescence, Volume 97, Issue 5, Page 1225-1235, July 2025.
ABSTRACT Introduction Young adulthood (ages 18–25) is a high‐risk period for loneliness, particularly during educational transitions. Loneliness has negative consequences for mental health, physical health, and educational achievement. Psychologists conceptualize loneliness as emerging from a discrepancy between expected and experienced social ...
Michael Priestley   +8 more
wiley   +1 more source

A mathematical theory of relational generalization in transitive inference. [PDF]

open access: yesProc Natl Acad Sci U S A
Lippl S   +4 more
europepmc   +1 more source

On the Terwilliger Algebra of the Group Association Scheme of the Symmetric Group Sym ( 7 )

open access: yesJournal of Combinatorial Designs, Volume 33, Issue 7, Page 261-274, July 2025.
ABSTRACT Terwilliger algebras are finite‐dimensional semisimple algebras that were first introduced by Paul Terwilliger in 1992 in studies of association schemes and distance‐regular graphs. The Terwilliger algebras of the conjugacy class association schemes of the symmetric groups Sym ( n ), for 3 ≤ n ≤ 6, have been studied and completely determined ...
Allen Herman   +2 more
wiley   +1 more source

Humans exhibit associative symmetry in the absence of backward training and stimulus overlap

open access: yesJournal of the Experimental Analysis of Behavior, Volume 124, Issue 1, July 2025.
Abstract A recent survey of the evidence on associative symmetry in humans revealed that nearly all the demonstrations either unintentionally trained backward stimulus pairings and/or had a temporal overlap between the stimuli being trained. We consider these criticisms and improve on our own method of “associative networks.” In this method ...
Victor M. Navarro, Edward A. Wasserman
wiley   +1 more source

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