The present study examined narrative identity in adolescence (14-18 years) in terms of narrative content and processes of identity development. Age- and gender-related differences in narrative patterns in turning point memories and gender differences in the content and functions for sharing those memories were examined, as was the relationship between narrative patterns and self-esteem. The narrative patterns focused on were meaning-making (learning from past events) and emotionality of the narratives, specified as overall positive emotional tone and redemptive sequencing. Results showed an age-related increase in meaning-making but no gender differences in the degree of meaning-making. Results further showed that gender predicted self-esteem and that boys evidenced higher self-esteem. Emotionality also predicted self-esteem; this was especially true for redemption and for boys. In terms of telling functions, girls endorsed more relational reasons for telling memories than did boys. Results are discussed in terms of potential gendered and nongendered pathways for identity development in adolescence.
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Acad Med
December 2024
R.H. Kon is associate professor of medicine, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia; ORCID: https://orcid.org/0000-0002-3326-5203.
ProblemLongitudinal patient relationships can positively affect medical students' professional identity formation (PIF), understanding of illness, and socialization within medical practice, but a longitudinal integrated clerkship (LIC) model is not always feasible. The authors describe the novel Patient Student Partnership (PSP) program, which provides authentic roles for students in mentored longitudinal patient relationships while maintaining a traditional block clerkship model.ApproachThe PSP program at the University of Virginia School of Medicine pairs all matriculating medical students with a patient living with chronic illness to follow across multiple health care settings until graduation.
View Article and Find Full Text PDFPLoS One
January 2025
Yunnan Tengjian Technology Co., Ltd, Kunming, China.
The rapid development of Internet of Things technology has promoted the popularization of Internet of Vehicles, and its safety and reliability have become the focus of intelligent transportation system research. Vehicle-road collaboration relies on the collaborative computing and storage resources of the vehicle on-board unit (OBU), which are usually limited. When the vehicle in the edge area needs to do computing tasks such as intelligent driving, but its own computing resources are insufficient.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: Administrative health data serve as promising data sources to study transgender health at a population level in the absence of self-reported gender identity.
Objective: To develop and validate case definitions identifying transgender adults in administrative data compared with the reference standard of self-reported gender identity in a universal health care setting.
Design, Setting, And Participants: In this cohort study conducted in Alberta, Canada, data from provincial administrative health data sources including inpatient hospitalizations, emergency department encounters, primary care visits, prescription drug dispensations, and the provincial health insurance registry were linked and used to develop 15 case definitions (9 for transgender women and 6 for transgender men).
Mol Genet Genomics
January 2025
Department of Botany, Biology Institute, UnB, Brasília, DF, 70910-900, Brazil.
Precursors of microRNAs (pre-miRNAs) are less used in silico to mine miRNAs. This study developed PmiR-Select based on covariance models (CMs) to identify new pre-miRNAs, detecting conserved secondary structural features across RNA sequences and eliminating the redundancy. The pipeline preceded PmiR-Select filtered 20% plant pre-miRNAs (from 38589 to 8677) from miRBase.
View Article and Find Full Text PDFCurr Microbiol
January 2025
Microbial Biotechnology Laboratory, Life Sciences Division, Institute of Advanced Study in Science and Technology, Guwahati, Assam, 781035, India.
Medicinal plants often harbour various endophytic actinomycetia, which are well known for their potent antimicrobial properties and plant growth-promoting traits. In this study, we isolated an endophytic actinomycetia, A13, from the leaves of tea clone P312 from the MEG Tea Estate, Meghalaya, India. The isolate A13 was identified as Streptomyces sp.
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