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A Re-Evaluation of the Utility of Symptom Checklist-90-Revised for Measuring the Spectra in the Hierarchical Taxonomy of Psychopathology.
Pediatr Rep
December 2024
Psychology Department, School of Health and Biomedicine, Bundoora Campus, RMIT University, Melbourne, VIC 3000, Australia.
Unlabelled: The present study examines the potential of the Symptom Checklist-90-Revised (SCL-90-R) as a measure for the Hierarchical Taxonomy of Psychopathology (HiTop) model. Two structural models were evaluated. In Model 1, the SCL-90-R dimensions were allocated to somatoform (comprising somatization), internalizing (comprising obsessive-compulsive, interpersonal sensitivity, depression, anxiety, and phobic anxiety), and antagonistic disinhibited (comprising hostility) spectra.
View Article and Find Full Text PDFDental age estimation in adults using the Lamendin criteria: Validation of a bayesian model in the Brazilian population.
Forensic Sci Int
December 2024
Department of Stomatology, Public Health and Forensic Odontology, Ribeirão Preto School of Dentistry, University of São Paulo, Ribeirão Preto, São Paulo, Brazil. Electronic address:
Article Synopsis
- - Age estimation is vital for identifying deceased individuals, and this study focuses on using dental characteristics to improve age estimation methods in Brazil, particularly by validating the Forensic International Dental Database (FIDB).
- - Researchers conducted a study with 230 dental samples to compare the FIDB Bayesian model against Lamendin's simplified technique, ensuring the reliability of their data through thorough examiner training and statistical analysis.
- - The final analysis included 200 dental elements, revealing no significant differences in age estimation between sexes, and overall accuracy showed comparable results between the Bayesian model and Lamendin's technique.
Retrospective validation of automatic sleep analysis with grey areas model for human-in-the-loop scoring approach.
J Sleep Res
October 2024
Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
State-of-the-art automatic sleep staging methods have demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic black-box solutions are difficult to adapt into clinical workflow due to the lack of transparency in decision-making processes. Transparency would be crucial for interaction between automatic methods and the work of sleep experts, i.
View Article and Find Full Text PDFMulti-omics PGT: re-evaluation of euploid blastocysts for implantation potential based on RNA sequencing.
Hum Reprod
December 2024
Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Study Question: In addition to chromosomal euploidy, can the transcriptome of blastocysts be used as a novel predictor of embryo implantation potential?
Summary Answer: This retrospective analysis showed that based on differentially expressed genes (DEGs) between euploid blastocysts which resulted and did not result in a clinical pregnancy, machine learning models could help improve implantation rates by blastocyst optimization.
What Is Known Already: Embryo implantation is a multifaceted process, with implantation loss and pregnancy failure related not only to blastocyst euploidy but also to the intricate dialog between blastocyst and endometrium. Although in vitro studies have revealed the characteristics of trophectoderm (TE) differentiation in implanted blastocysts and the function of TE placentation at the implantation site, the precise molecular mechanisms of embryo implantation and their clinical application remain to be fully elucidated.
Unveiling nuances in data analysis to illuminate marine pilot strain.
Front Psychol
September 2024
Faculty of Maritime Studies and Transport, University of Ljubljana, Portorož, Slovenia.
Maritime studies, encompassing a range of disciplines, increasingly rely on advanced data analytics, particularly in the context of navigation. As technology advances, the statistical averaging of large datasets has become a critical component of these analyses. However, recent studies have highlighted discrepancies between statistical predictions and observable realities, especially in high-stress environments like port approach procedures conducted by marine pilots.
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