The correlational study is aimed at validating the in Russian culture. Authenticity is considered a trait responsible for a person's ability to be oneself. It helps people resist environment pressure and prevent self-alienation, which contributes to maintaining psychological wellbeing. The original Authenticity Scale includes three subscales: , and . In total, 2,188 respondents ( = 26.30, = 13.81; 78.1% female) participated in the survey. The dimensionality of the and its measurement invariance across sex, age, and depression rate subgroups was examined with exploratory and confirmatory factor analyses; the original tripartite structure was kept. Convergent validity was tested through correlation analyses with the , the , the , the , and the . According to the CFA results, the structure of the Russian version differs from the original one slightly (item 1 was moved from the subscale to the subscale and item 4 was excluded); however, the modified factor model showed the best absolute and comparative fit statistics [CFI = 0.961, TLI = 0.949, RMSEA = 0.050 (90% CI [0.40; 0.60]) and SRMR = 0.037]. The reliability (McDonald's Omega) of the subscales was satisfactory and ranged from 0.78 to 0.84. It was revealed that youth are more likely to have high scores on and than adults. Men and women did not significantly differ on the sub-scores of . Multigroup CFA also showed that scores may be biased in people with high levels of clinical depression, in terms of the item intercepts. is positively connected with mental wellbeing, self-esteem, positive affect, satisfaction with life, and negatively with depressive symptoms and negative affect; reverse trends were found for and subscales. The Russian version of the is a valid, reliable tool that may be recommended for use in various areas of non-clinical practice.
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http://dx.doi.org/10.3389/fpsyg.2020.609617 | DOI Listing |
Biomedicines
December 2024
Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Background/objectives: Emergence delirium (ED) is one of the most frequent postoperative complications in pediatric patients after general anesthesia. In adults, a deeper intraoperative level of anesthesia has been reported as an independent predictor of postoperative delirium. However, the effect of anesthetic depth on ED has rarely been demonstrated in the pediatric population.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Institute of Electronic Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Due to the labor-intensive manual annotations for nuclei segmentation, point-supervised segmentation based on nuclei coordinate supervision has gained recognition in recent years. Despite great progress, two challenges hinder the performance of weakly supervised nuclei segmentation methods: (1) The stable and effective segmentation of adjacent cell nuclei remains an unresolved challenge. (2) Existing approaches rely solely on initial pseudo-labels generated from point annotations for training, and inaccurate labels may lead the model to assimilate a considerable amount of noise information, thereby diminishing performance.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
College of Education, United Arab Emirates University, Al Ain, Abu Dhabi, UAE.
Background: Community-based para-professionals are trained or untrained professionals who assist in the delivery of health-related care in communities where they live. The role of community-based para-professionals in supporting early childhood development (ECD) supports has attracted increased attention recently, particularly in the context of severe constraints in the global health workforce. However, these practitioners face challenges associated with low status and poor working conditions.
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