Objective: The aim: To study the dynamics of gadget use by higher education students of the Bogomolets National Medical University and to assess technological impact on the physical health of students.
Patients And Methods: Materials and methods: To accomplish the tasks set using theoretical and experimental methods of scientific research: systematic analysis, comparison and generalization of the bibliosemantic method, questionnaires, and interviews with students. Quantitative data collected during the survey of students studying in the «Dentistry», «Pediatrics», «Medicine», «Pharmacy, Industrial Pharmacy», «Physical Therapy, Occupational Therapy», and «Medical Psychology» specialties were processed using the MedCalc statistical software, and there was carried out comparative analysis afterwards.
Results: Results: During the quarantine and martial law, medical university students were forced to study distantly or in a mixed format using various gadgets and computers. It is obvious that the physical condition of a person is affected by the duration of their use of various devices. In this paper, therefore, the risks and the researched dynamics of gadget use by higher education students of the Bogomolets National Medical University were identified. Thus, the technological impact on the physical health of students was also defined. Moreover, the data based on the results of height and weigh calculation of higher education students, which used to diagnose types of obesity by anthropometric indicators, were also collected.
Conclusion: Conclusions: According to the results of the research, it was established that the students of the Bogomolets National Medical University spent a significant part of their study time sitting in the classroom or at the computer (40 hours weekly average). We found that in the process of distance learning, prolonged sitting at a PC or other gadget (as well as general sedentary lifestyle) has affected the female higher education students majoring in 222 «Medicine» course their body mass index. The time spent using gadgets both in the educational and non-formal education (self-education) processes has increased significantly. We attribute this fact to the emergence of a significant number of online educational resources in the public domain, the growing number of webinars, trainings, and master classes conducted by both domestic and foreign experts online.
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http://dx.doi.org/10.36740/WLek202304109 | DOI Listing |
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Changchun Sci-Tech University, JiLin ChangChun 130600, China.
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Institut National de Santé Publique, d'Épidémiologie Clinique et de Toxicologie-Liban, Beirut, Lebanon.
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Macromol Rapid Commun
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School of Chemistry and Chemical Engineering, Nantong University, Nantong, 226019, China.
A novel aggregation-induced emission (AIE)-based artificial light-harvesting system (LHS) is successfully assembled via the host-guest interaction of bis-naphthylacrylonitrile derivative (BND), water-soluble pillar[5]arene (WP5), and sulforhodamine 101 (SR101). After host-guest assembly, the formed WP5⊃BND complexes spontaneously self-aggregated into WP5⊃BND nanoparticles (donors) and SR101 (acceptors) is introduced into WP5⊃BND to fabricate WP5⊃BND-SR101 LHS. Through the investigation of energy transfer between donors and acceptors, the artificial light-harvesting processes are certified in WP5⊃BND-SR101 LHS and the absolute fluorescence quantum yields (Φ) are significantly improved from 8.
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College of Veterinary Medicine, Yangzhou University, Yangzhou, China.
The rising prevalence of multidrug-resistant (MDR) Gram-positive bacteria threatens the effectiveness of current antibiotic therapies. However, the development of new antibiotics has stagnated in recent years, highlighted the critical need for the discovery of innovative antimicrobial agents. This study aims to evaluate the antibacterial activity of naphthoquinones derived from Arnebia euchroma (Royle) Johnst (ADNs) and elucidate their underlying mechanisms.
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January 2025
School of Electrical & Control Engineering, Shenyang Jianzhu University, Shenyang, China.
The atomic force microscope (AFM) image will be inclined and bent due to the tilt angle between the probe and the sample surface. When the least squares fitting method is used to correct the horizontal distortion of the AFM image, the shape structure that is lower or higher than the sample base will affect the final fitting correction result. In view of the limitations of existing methods and the diversity of AFM images, an AFM image level distortion correction method based on automatic feature marking is proposed.
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