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The coming out process has biopsychosocial components that occur whenever a lesbian, gay or bisexual (LGB) person shares their sexual orientation with another person. It is a complex and difficult process, but it has been described as an essential component for identity formation and integration. The purpose of this pilot study was to assess a Multidimensional Intelligences Model (MIM) (Body, Emotional, Social, and Ecological Intelligences) as predictor of the coming out acceptance (COA) and growth (COG).The objectives of this study were to 1) examine if MIM can predict COA and COG among LGB individuals; and 2) determine differences in the MIM between the four stratified groups (lesbian women, bisexual women, gay men, bisexual men). This pilot study had a quantitative method with an exploratory cross-sectional design. A total of 67 LGB participants completed an online survey. The results shows that the MIM could not predict the COA. However, the MIM could predict the COG and explained 20.6% of the variance. We believe this can be explained because in the COA people do not have control of how other people can feel and react. However, in the COG the person could have full self-control of their own growth.
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http://dx.doi.org/10.21203/rs.3.rs-2383001/v1 | DOI Listing |
Physiol Plant
September 2025
State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou, China.
The rice root system mediates nutrient uptake while adapting to tillage, management, and environmental changes. While optimized nitrogen (N) supply is known to enhance 2-acetyl-1-pyrroline (2-AP) biosynthesis in fragrant rice, the underlying mechanisms linking nitrogen availability, root development, and their combined effects on physiological processes and aroma formation remain unclear. To address this knowledge gap, we conducted a pot experiment employing two fragrant rice cultivars (Huahangxiangyinzhen and Qingxiangyou19xiang) under three nitrogen regimes (0, 1.
View Article and Find Full Text PDFBackground: Advancements in healthcare have significantly improved the prospect of patients with CHD, with over 97% now surviving adulthood. This growing population requires lifelong care and support to manage their condition. Digital health innovations, such as the "Ask Me Anything" (AMA) tool, aim to empower patients and improve collaboration with clinicians.
View Article and Find Full Text PDFJ Diabetes
September 2025
Division of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Aims: Diabetes is a global public health crisis, especially when it is accompanied by microvascular complications such as diabetic kidney disease (DKD). The purpose of this study was to explore the relationship between the combined lifestyle factors of diabetes patients and their joint effects with genetic risk and the risk of DKD.
Materials And Methods: We included individuals diagnosed with diabetes at baseline from UK Biobank.
BMC Med Educ
September 2025
Medical Didactics and Education Research, DEMEDA, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
J Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
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