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Objective: To explore the feasibility of transferring the skills from the AccuTouch flexible endoscopy simulator colonoscopy training to clinical practices.
Methods: The novice colonoscopies were divided into 2 groups.Group A (control group) including 4 trainees for traditional training, Group B (experimental group) including 4 trainees for simulator training. After training, we compared the number of cases for achieving independent competence, assisted competence and incompetence in the first ten patients.
Results: No significant differences existed between two groups in terms of age and gender (both P > 0.05). Significant differences existed in educational background and the controlled group was better than the experimental group (Z = -2.005, P = 0.04). The cases of independent completion, assisted competence and incompetence of the control and experimental groups were 2, 4, 9 and 21, 29, 15 respectively. Rank tests show that the simulator training was better than the traditional counterpart (average rank: 56.14 vs 24.86, Z = -6.393, P = 0.00).
Conclusions: The skills acquired from AccuTouch Endoscopy Simulator may be well transferred into the clinical colonoscopy environment. It clearly supports the scheme of integrating simulator training into colonoscopic education curricula.
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Reprod Biol
September 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Engineering Research Center of Biopreservation and Artificial Organs, Ministry of Education, No 218 Jixi Road, Hefei Anhui230022, China; Key Laboratory of Population Health Across
Current research indicates that polyethylene terephthalate microplastics (PET-MPs) may significantly impair male reproductive function. This study aimed to investigate the potential molecular mechanisms underlying this impairment. Potential gene targets of PET-MPs were predicted via the SwissTargetPrediction database.
View Article and Find Full Text PDFJ Org Chem
September 2025
State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, P. R. China.
The Buchwald-Hartwig (B-H) reaction graph, a novel graph for deep learning models, is designed to simulate the interactions among multiple chemical components in the B-H reaction by representing each reactant as an individual node within a custom-designed reaction graph, thereby capturing both single-molecule and intermolecular relationship features. Trained on a high-throughput B-H reaction data set, B-H Reaction Graph Neural Network (BH-RGNN) achieves near-state-of-the-art performance with an score of 0.971 while maintaining low computational costs.
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
Villa Beretta Rehabilitation Center, Costa Masnaga, Italy.
Background: Telerehabilitation is a promising solution to provide continuity of care. Most existing telerehabilitation platforms focus on rehabilitating upper limbs, balance, and cognitive training, but exercises improving cardiovascular fitness are often neglected.
Objective: The objective of this study is to evaluate the acceptability and feasibility of a telerehabilitation intervention combining cognitive and aerobic exercises.
J Cataract Refract Surg
September 2025
Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Purpose: To compare the usability and training effectiveness of a 3D-printed coaxial illumination system mounted on an off-the-shelf stereo-microscope to a professional ophthalmic surgical microscope, in cataract surgery simulation.
Setting: Ophthalmology Lab, Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Design: Prospective randomized crossover study.
Rev Bras Enferm
September 2025
Universidade Federal do Ceará. Fortaleza, Ceará, Brazil.
Objectives: to assess nursing students' skills in surgical wound care before and after clinical simulation.
Methods: a quasi-experimental before-and-after study was conducted with 50 nursing students at a federal public university. Data collection occurred in three stages: assessment of students'skills before clinical simulation; application of the simulated scenario; assessment of skills after clinical simulation.