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Cultural and emotional intelligence correlates with healthy lifestyles
A healthy lifestyle is essential to prevent illness and live a happy life. Previous research has shown that social intelligence, such as emotional intelligence (EQ) and cultural intelligence (CQ), is related to a healthy lifestyle. However, there are fewer studies that clarify the relationship between CQ and lifestyle compared to EQ and lifestyle, and the relationship between the facets that make up these intelligences and lifestyle is also unclear. Therefore, in this study, we aimed to clarify the relationship between the eight facets of these intelligences and the seven lifestyles by multiple regression analysis and relative importance analysis. As a result, consistent with the Self-Regulated Learning (SRL) strategy theory, which is based on motivation and metacognition, it was shown that the two intelligences, Use of emotion EQ and Metacognitive CQ, were most broadly correlated with the five lifestyles, and Self-emotional appraisal EQ was also correlated with the two lifestyles. These results suggest that in today's globalized society, in addition to the intelligence required to understand and utilize one's own emotions, there is a need for intelligence to understand different cultures and to verify and correct the accuracy of knowledge about them
Elucidation of the physical properties of hydrogen-bonded organic semiconductors
令和6年度 京都大学化学研究所 スーパーコンピュータシステム 利用報告
Relationship Between Nostalgia Proneness, Generativity, and Ego Integrity
なつかしい記憶をポジティブに感じることは心理的適応につながる --なつかしさ傾向性と世代性・統合の関連--. 京都大学プレスリリース. 2024-08-16.This study examined the effect of nostalgia proneness on the level of achievement of developmental tasks during the later stages of adulthood (generativity and ego integrity) and the indirect effect of nostalgia on ego integrity. The level of nostalgia proneness changes with age and contributes to subjective well-being in old age. We assumed that nostalgia proneness affects generativity and ego integrity. To confirm the causal relationship between nostalgia proneness and achievement of developmental tasks, a longitudinal study was conducted. We conducted an Internet survey twice with 600 Japanese adults (aged 20-87). The first and second surveys (T1 and T2) were conducted in March 2021 and March 2022, respectively. The questionnaire comprised the Inventory of Psychosocial Balance scale, positive/negative nostalgia proneness scale, and state functions of the nostalgia scale. An autoregressive path model indicated that high and low levels of positive and negative proneness, respectively, predicted ego integrity. The results of the mediation analysis suggested that social connections have an indirect effect on ego integrity and that people who tend to feel positive emotions are less likely to feel negative emotions when they remember nostalgic memories, which leads to a sense of social connection and the acquisition of ego integrity. The findings provide an understanding of the processes through which developmental tasks are facilitated in later adulthood and elucidate the efficacy of psychosocial interventions in older adults
<Translation>Poems from Bāṅg-e Darā (The Sound of the Caravan Bell) (4): A Japanese Translation of Iqbāl's Urdū Verse (18)
Electroporation-mediated functional analysis method of genes in the giant insect Trypoxylus dichotomus
エレクトロポレーション(電気穿孔法)を用いたカブトムシの遺伝子機能解析手法の確立に成功. 京都大学プレスリリース. 2025-08-05.The Japanese rhinoceros beetle, Trypoxylus dichotomus, possesses large horns on its head and thorax, features whose biological significance has been explored across various fields, including evolutionary developmental biology, behavioral ecology, and materials science. To investigate the molecular basis of these characteristics, systemic larval RNA interference (RNAi) has been employed as a primary loss-of-function genetic tool. However, gain-of-function analyses and region-specific gene function assessments remain underdeveloped, thereby limiting the comprehensive understanding of the molecular mechanisms involved. To address this limitation, we developed an in vivo electroporation technique to introduce exogenous DNA vectors directly into the somatic tissues of T. dichotomus larvae to express the genes of interest. Additionally, we utilized the piggyBac transposon system to insert the exogenous DNA vectors into the host genome for stable gene expression. Our findings indicate that the T. dichotomus actin A3 gene promoter exhibits sufficient transcriptional activity in the early postembryonic stage of T. dichotomus via electroporation. Furthermore, we observed that this promoter functions effectively across a diverse range of insect species, including the harlequin ladybug, Harmonia axyridis and the silkworm, Bombyx mori, suggesting the broad applicability of the T. dichotomus actin A3 promoter in various insects
Analysis of the hydrolysis behavior of poly(lactic acid) (PLA) and prediction of molecular weight distribution changes via the kinetic Monte Carlo method
Poly(lactic acid) (PLA) is a biobased and biodegradable plastic derived from natural resources. In this study, the degradation mechanism of PLA during hydrolysis was experimentally verified, and a computational strategy was constructed to predict its degradation behavior. The reaction rates and solid-state structure of PLA during hydrolysis were measured, and the hydrolysis behavior of the crystalline and amorphous phases was investigated. The results indicated that the molecular chains were randomly cleaved in the amorphous phase but were cleaved only on the folding surface of the lamellar crystals in the crystalline phase. Furthermore, the degradation behavior of amorphous and semicrystalline PLA during hydrolysis was modeled and simulated using the kinetic Monte Carlo method. The specific degradation behavior of the crystalline phase was described by considering the distribution of lamellar crystals and the dependence of the degradation rate on the molecular chain position. With this model, the molecular weight distribution and weight loss of PLA can be predicted. This study is the first to construct a degradation model based on a solid-state structure that can predict not only the average molecular weight but also the molecular weight distribution