INNOVATIVE ASPECTS OF OPEN INGUINAL HERNIA SURGERY: REDUCING COMPLICATIONS AND PREVENTING RECURRENCES by К. Рахманов, О. Хужамов, С. Давлатов, Б. Хамдамов, С. Янченко, Н. Абдуллаєва, З. Джалілова

“…Quality-of-life assessment indicated that implementation of a differentiated algorithm for treatment strategy selection increased the proportion of “excellent” and “good” outcomes from 88.3% to 100.0%. …”
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Spinocerebellar ataxias Ataxias espinocerebelares by Hélio A.G. Teive

“…OBJECTIVE: To carry out a clinical and genetic review of the main types of SCA. METHOD: The review was based on a search of the PUBMED and OMIM databases. …”
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Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning by Erfan Azizi, Mohammadsadegh Darbankhalesi, Amirhossein Zare, Zahra Sadat Rezaeian, Saeed Kermani

“…The proposed algorithm outperforms existing methods in similar articles in sensitivity showing an improvement of 4% and at least. …”
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Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse by Xiaoyin Li, Lixing Wang, Min Dai, Yongji Zhang, Wei Su, Mingyou Wang, Hong Miao

“…Aphids are the main agricultural pests that affect the quality and yield of peppers in the greenhouse. …”
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Recommendations on Chronic Constipation (Including Constipation Associated with Irritable Bowel Syndrome) Treatment by Pierre Paré, Ronald Bridges, Malcolm C Champion, Subhas C Ganguli, James R Gray, E Jan Irvine, Victor Plourde, Pierre Poitras, Geoffrey K Turnbull, Paul Moayyedi, Nigel Flook, Stephen M Collins

“…The myriad of treatment options available to Canadian physicians can be confusing; thus, the main aim of the recommendations and treatment algorithm is to optimize the approach in clinical care based on available evidence.…”
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Two Machine-learning Hybrid Models for Predicting Type 2 Diabetes Mellitus by Rahman Farnoosh, Karlo Abnoosian, Rasha Abbas Isewid

“…Therefore, consulting with a specialist physician to identify and handle these outliers using statistical methods is necessary. The main contribution of this study is the proposal of two hybrid models for diabetes diagnosis in two scenarios: (1) Scenario 1 (presence of outlier data): Hybrid Model 1 combines the K-medoids clustering algorithm with a Gaussian naive Bayes (GNB) classifier based on kernel density estimation (KDE) to handle outliers and (2) Scenario 2 (after removing outlier data): Hybrid Model 2 combines the K-means clustering algorithm with a GNB classifier based on KDE with suitable bandwidth. …”
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Decannulation ahead: a comprehensive diagnostic and therapeutic framework for tracheotomized neurological patients by Rainer Dziewas, Tobias Warnecke, Bendix Labeit, Volker Schulte, Inga Claus, Paul Muhle, Anna Brake, Lena Hollah, Anne Jung, Jonas von Itter, Sonja Suntrup-Krüger

“…This review summarizes diagnostic procedures and therapeutic options crucial for the rehabilitation of tracheotomized patients. Main body Key diagnostic strategies for assessing decannulation readiness focus on airway protection, airway patency, bronchial secretion management, and cough function. …”
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Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…Aim. To identify main predictors of fatal outcome based on the regional database of patients with myocardial infarction (MI) or unstable angina (UA).Material and methods. …”
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Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning by Octávio Pereira da Costa, Franklin Daniel Inácio, Jéssica Elaine da Silva, Thiago Orlando Costa Barboza, Wender Henrique Batista da Silva, Lorena Nunes Lacerda, Adão Felipe dos Santos

“…However, the performance of the models differed for corn yield estimation. The SVM algorithm showed the lowest performance during the main crop season (R² = 0.36), while both RF and kNN yielded prediction results with an accuracy of over 55 %, with RF providing the highest R² values and the lowest errors (RMSE = 0.3 t ha−1). …”
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Cytomegalovirus infection in immunocompetent pregnant women: clinical manifestations and management tactics by N. V. Rogozina, V. V. Vasil’ev, N. S. Bezverhaja, R. A. Ivanova, G. M. Ushakova, E. S. Romanova

“…The inclusion criteria in main group were women aged 18-40 years and presence the results of examination for TORCH-syndrome in the first trimester of pregnancy, negative results for HIV. …”
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About the possibility of rehabilitation of athletes with fractures of the bones of the lower extremities (literature review) by T. V. Sorokovikova, A. M. Morozov, K. A. Aleksanyan, K. G. Salmanova, E. A. Fisyuk, M. A. Belyak

“…People involved in professional sports quite often encounter injuries. Thus, one of the main problems of modern traumatology and rehabilitation medicine is sports traumatism, which accounts for 2 to 7 % of all injuries.Objective: to analyze the available and modern methods of rehabilitation of athletes with fractures of the bones of the lower extremities.Materials and methods. …”
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High‑frequency skin ultrasound possibilities in terms of diagnosing liver cirrhosis by D. Yu. Shestakova, A. V. Borsukov

“…To assess the potential of using high‑frequency ultrasound examination of the palm skin in a comprehensive diagnostic algorithm for patients with liver cirrhosis.Patients and methods. …”
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Energy-Efficient Sleep Mode Schemes for Cell-Less RAN in 5G and Beyond 5G Networks by Farinaz Kooshki, Ana Garcia Armada, Md. Munjure Mowla, Adam Flizikowski, Slawomir Pietrzyk

“…Simulation results show that the network EE is improved up to 30% compared to the reference algorithm and up to 60% with respect to the baseline algorithm in which all APs are active all the time.…”
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Research on Rolling Bearing Fault Diagnosis Using Improved Majorization-Minimization-Based Total Variation and Empirical Wavelet Transform by Yangli Ou, Shuilong He, Chaofan Hu, Jiading Bao, Wenjie Li

“…The value of its main parameter λ determines the quality of the denoising effect. …”
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Snow observation from space: An approach to improving snow cover detection using four decades of Landsat and Sentinel-2 imageries across Switzerland by Charlotte Poussin, Pascal Peduzzi, Gregory Giuliani

“…Starting in the 1970s, Landsat data provides over 50 years of medium resolution imagery. However, the main limitation of optical imagery is cloud cover. …”
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Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario by Jingxuan Zhang, Xiaodong Xu, Kangjie Zhang, Bufang Zhang, Xiaofeng Tao, Ping Zhang

“…The enhanced Mobile Broadband (eMBB) and ultra-Reliable Low Latency Communications (uRLLC) are the two main scenarios of <inline-formula> <tex-math notation="LaTeX">$5^{th}$ </tex-math></inline-formula> generation (5G) mobile communication system networks. …”
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Comparative assessment of the diagnostic efficiency of medical imaging methods, as exemplified by magnetic resonance imaging and contrast-enhanced ultrasound examination, based on... by E. A. Busko, A. B. Goncharova, D. A. Buchina, A. S. Natopkina

“…The main and auxiliary characteristics of the methods of MRI and contrast-enhanced ultrasound before and after the selection of pairs are given in the work.Conclusion. …”
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Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring by Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei

“…This work has three main components: (1) a neural network-based geospatial fitting model for ANET communication, (2) a ResNet based spatiotemporal feature and CNS node fusion encoding method for state space construction for reinforcement learning, and (3) a deep reinforcement learning algorithm called ResNet-DDPG for deploying ground ANET nodes dynamically. …”
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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

“…The test results show that the algorithm proposed in this article exhibits great potential in the task of detecting pollution-free near-color fruits by the picking robot. …”
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The methodology of food design. Part 2. Digital nutritiology in personal food by A. Y. Prosekov, A. D. Vesnina, O. V. Kozlova

“…Atherosclerosis (the main cause of a wide range of cardiovascular diseases) and other multifactorial diseases depend on several nutrition factors, defined in general by lifestyle that directly and constantly affects the human body. …”
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