Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach

Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention in data mining and engineering fields. Existing approaches mainly focus on a strongly induced subhypergraph or edge cardinality, overlooking the importance of the frequency of co-occurrence. In this paper, we propose a new cohesive subgraph named (k,g)-core, which considers both neighbour and co-occurrence simultaneously. The $(k,g)$-core has various applications including recommendation system, network analysis, and fraud detection. To the best of our knowledge, this is the first work to combine these factors. We extend an existing efficient algorithm to find solutions for $(k,g)$-core. Finally, we conduct extensive experimental studies that demonstrate the efficiency and effectiveness of our proposed algorithm.Comment: 5 page

Factors influencing the health-related quality of life in Korean menopausal women: a cross-sectional study based on the theory of unpleasant symptoms

Purpose Based on the theory of unpleasant symptoms (TOUS), this study aimed to examine the direct effect of antecedent factors on health-related quality of life (HRQoL) and its indirect effect via symptoms in Korean women during the late menopausal transition (MT) and early postmenopause. Methods This cross-sectional survey employed a descriptive correlational research design. The respondents were 152 middle-aged women 40 to 60 years with an intermenstrual interval of 60 days or more (late MT) or less than 5 years from the last menstrual period (early postmenopause). The respondents were recruited through convenience sampling in Busan, Korea, from December 1, 2020, to January 31, 2021. Based on the TOUS, self-report data were collected on perceived health status, psychological distress, social support, menopausal symptoms, and HRQoL. The collected data were analyzed using descriptive statics, independent t-test, one-way analysis of variance, Pearson’s correlation coefficient, and the Hayes’ PROCESS macro. Results TOUS was supported on this sample (n=152) of Korean women during the late MT and early postmenopause. Perceived health status, psychological distress, and social support had significant direct relationships with HRQoL. Menopausal symptoms had significant indirect relationships between antecedent factors (perceived health status, psychological distress, and social support) and partially mediated HRQoL. Conclusion The findings of this study indicate that menopausal symptoms play an important role as an intervening factor of HRQoL in women during the late MT and early postmenopause. Therefore, women need an integrated program that manages antecedent factors and menopausal symptoms to improve HRQoL in these menopausal stages