The article considers and justifies the need to change the system of motivation and incentives for the work of medical workers in the Russian healthcare system in the context of new socio-economic conditions and the growth of professional risks in the medical field. The COVID-19 pandemic, which has lasted for more than a year, has exposed significant shortcomings in the system of motivation of medical workers, showing serious problems consisting in a shortage of specialists, hospital beds, medicines, and an increase in professional workload. As a result, of the analysis of statistical data and the conducted sociological survey, a system of key socio-psychological factors and motivational indicators of the work of medical workers was developed, and ways to optimize the system of their labor motivation were identified.
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http://dx.doi.org/10.32687/0869-866X-2021-29-s1-630-635 | DOI Listing |
J Reprod Immunol
January 2025
Chengdu Fifth People's Hospital, (School of Medical and Life Sciences/Affiliated Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine), Chengdu, China. Electronic address:
The endometrial and vaginal microbiota have co-evolved with the reproductive tract and play a key role in both health and disease. However, the difference between endometrial and vaginal microbiota, as well as their association with reproductive outcomes in women undergoing frozen embryo transfer, remains unclear. 120 women who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) and whole embryo freezing were enrolled.
View Article and Find Full Text PDFComput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFComput Biol Med
January 2025
School of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea. Electronic address:
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.
View Article and Find Full Text PDFJ Mol Graph Model
January 2025
Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Gomtinagar Extension, Lucknow, 226028, India; Research Cell, Amity University Uttar Pradesh, Lucknow Campus, India. Electronic address:
The Acinetobacter baumannii is a member of the "ESKAPE" bacteria responsible for many serious multidrug-resistant (MDR) illnesses. This bacteria swiftly adapts to environmental cues leading to the emergence of multidrug-resistant variants, particularly in hospital/medical settings. In this work, we have demonstrated the outer membrane protein 33-36 (Omp33-36) porin as a potential therapeutic target in A.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Life Sciences, Key Laboratory of Space Bioscience & Biotechnology, Northwestern Polytechnical University, Xi'an 710072, China.
Lymphoma is a malignant cancer characterized by a rapidly increasing incidence, complex etiology, and lack of obvious early symptoms. Efficient theranostics of lymphoma is of great significance in improving patient outcomes, empowering informed decision-making, and driving medical innovation. Herein, we developed a multifunctional nanoplatform for precise optical imaging and therapy of lymphoma based on a new photosensitizer (1-oxo-1-benzoo[de]anthracene-2,3-dicarbonitrile-triphenylamine (OBADC-TPA)).
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