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Fuzzy bifocal disambiguation for partial multi-label learning.
Neural Netw
January 2025
College of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China. Electronic address:
In partial multi-label learning (PML), each instance is associated with multiple candidate labels, but only a subset is the ground-truth label. Due to the ambiguous label information, PML is more challenging than traditional multi-label learning. Conventional PML mainly focuses on learning a desired feature space or label space for disambiguation, ignoring the tight correlation between two spaces.
View Article and Find Full Text PDFInvestigation into safety regulation of entertainment venues based on big data label analysis.
Heliyon
December 2024
School of Humanities and Law, Jiangsu Ocean University, Lianyungang City , 222005, China.
The recreational escape rooms have recently emerged as a rapidly growing and widely embraced form of consumer entertainment. However, the industry's expansion has brought forth certain challenges, notably the lack of authoritative oversight, which has led to issues such as piracy and theme infringement. To address these concerns, this study explores the management complexities of immersive entertainment venues from the perspective of responsive regulation.
View Article and Find Full Text PDFInfluence of Number and Strength of Hydrogen Bonds on Fracture Property and Microscopic Mechanisms of Associative Hydrogen-Bonded Polymers via Molecular Dynamics Simulation.
Langmuir
December 2024
State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
A coarse-grained model combining the acceptor-hydrogen-donor 3-body potential is first developed in this work to explore the fracture property and microscopic mechanisms of associative hydrogen-bonded polymers (AHBPs). Next, a triaxial deformation mode is performed to reveal that the fracture toughness of AHBPs initially improves and then is reduced as the number of active groups increases. By characterizing the stress decomposition, the strong hydrogen bond (HB) network improves the maximum stress but reduces the elongation.
View Article and Find Full Text PDFGraph analysis of guilt processing network highlights links with subclinical anxiety and self-blame.
Soc Cogn Affect Neurosci
December 2024
Neuropsychology and Functional Neuroimaging Group, Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castellon de la Plana 12-006, Spain.
Maladaptive forms of guilt, such as excessive self-blame, are common characteristics of anxiety and depressive disorders. The underlying network consists of multiple associative areas, including the superior anterior temporal lobe (sATL), underlying the conceptual representations of social meaning, and fronto-subcortical areas involved in the affective dimension of guilt. Nevertheless, despite understanding the circuitry's anatomy, network-level changes related to subclinical anxiety and self-blaming behaviour have not been depicted.
View Article and Find Full Text PDFAssociations supporting items gained and maintained across recall tests.
J Exp Psychol Learn Mem Cogn
December 2024
Department of Psychology, Syracuse University.
When performing successive recall tests without restudy, subjects' recalls exhibit intriguing variability across tests, including gaining or losing items across tests. To examine the cognitive mechanisms underlying this variability, research has focused primarily on hypermnesia, the finding that recall performance increases across tests (Erdelyi & Becker, 1974). Hypermnesia studies commonly consider conditions that impact recall levels of items gained across tests versus items maintained across tests.
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