THE STATE OF LABORATORY SERVICE FOR TUBERCULOSIS DIAGNOSIS IN THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS by A. G. Cherednichenko, O. V. Revyakina, T. I. Petrenko

“…The paper characterizes the laboratory service that carries out microbiological tests to diagnose tuberculosis in 12 and 9 subjects of the Siberian and Far Eastern Federal Districts, respectively.The efficiency of tuberculosis detection was evaluated by light microscopy of Ziehl-Neelsen- stained smears during primary health care for the population. …”
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Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. …”
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PHARMACOECONOMIC JUSTIFICATION OF A WIDER USE OF PREVENTIVE HEMOPHILIA THERAPY IN THE RUSSIAN FEDERATION by M. Yu. Frolov, V. A. Rogov

“…The aim – assess the clinical advantages and economic burden of various treatment strategies in patients with hemophilia A in the Russian Federation and propose the ways of optimizing this area of medical care.Materials and methods. …”
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Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

“…Through detailed case studies spanning smart city deployments, healthcare, and finance sectors, the study demonstrates how various C&C optimization strategies perform differently in real-world applications. …”
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THE USE OF THREE PHASE AND DOMESTIC ELECTROLYZER FOR ELECTROCHEMICAL ACTIVATION (ECHO), DEVELOPMENT AND EVALUATION OF SOME PARAMETERS OF THEIR WORK FOR OPTIMAL FRACTIONS ECHO-WATER... by S. P. Sklyarov, I. A. Rodin, A. N. Simonov, S. N. Povetkin

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STUDY REGARDING CERVIDAE EVOLUTION, IN GIURGIU COUNTY, BETWEEN 2006 - 2015 by Marius MAFTEI, Elena Narcisa POGURSCHI, Iulian VLAD, Lucia NISTOR

“…This is just a partial study for an ample research regarding evolution of species from Cervidae family in Romania. …”
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Mentoring within the federal innovation platform System of Personalized Training in a Higher Education Establishment by A. I. Artyukhina, E. V. Shishkina, V. I. Chumakov, A. A. Rybin, V. A. Kuznetsova

“…The authors recommend future research on the implementation and evaluation of mentoring models in different higher education contexts.…”
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Federated Learning for Real-Time Demand Response by Data Centers Toward Energy Efficiency and Privacy Preservation by Mohannad Alhazmi, Alexis Pengfei Zhao, Wanzi Li, Chenlu Yang

“…Our novel method utilizes real-time data to generate effective and efficient actions in response to operational demands, in compliance with energy conservation and stringent privacy standards. We evaluate various demand response programs by the proposed method in different scenarios and case studies to demonstrate their efficacy in adapting to energy consumption patterns for optimal energy usage and cost reduction. …”
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Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset by Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

“…As the quantization method, int8 quantization is utilized, which makes it both robust and lightweight. We propose a federated learning (FL) framework to ensure data privacy, which allows decentralized training across different data centers without compromising local data security. …”
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Justification of Chemotherapy Duration in Patients with Multiple and Pre-Extensive Drug Resistant Tuberculosis in the Russian Federation by A. I. Gayda, A. V. Abramchenko, M. I. Romanova, T. V. Toichkina, V. S. Burykhin, S. E. Borisov, A. V. Filippov, T. A. Kuznetsova, D. V. Perkhin, O. M. Sveshnikova, M. V. Lekhlyayder, A. M. Panteleev, S. V. Toinova, T. I. Maslennikova, D. O. Galakhova, L. N. Populyashina, G. I. Saenko, E. S. Anisimova, A. K. Svicharskaya, N. A. Sosova, O. V. Lovacheva, A. O. Maryandyshev, A. G. Samoylova

“…The objective: to justify the optimal duration of chemotherapy with Lzd and Bdq by evaluating the long-term treatment outcomes in patients with multiple/pre-extensive drug resistant (MDR/preXDR) tuberculosis who interrupted treatment at different time points.Subjects and Methods. 800 patients with MDR/preXDR tuberculosis were enrolled in the study, they were from all regions of the Russian Federation and they started a course of chemotherapy with regimens containing Lzd and Bdq in 2017-2018. …”
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PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation by Shengyuan Liu, Ruofan Zhang, Mengjie Fang, Hailin Li, Tianwang Xun, Zipei Wang, Wenting Shang, Jie Tian, Di Dong

“…Abstract Federated learning (FL) has shown great potential in addressing data privacy issues in medical image analysis. …”
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Occurrence Data Sources Matter for Species Distribution Modeling: A Case Study of Quercus variabilis Based on Biomod2 by Yipei Zhao, Jianfeng Liu, Qi Wang, Ruizhi Huang, Wen Nie, Shaowei Yang, Xiangfen Cheng, Maihe Li

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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Therefore, in the proposed work, a distributed and privacy-preserved horizontal federated learning-based malignant glioma disease detection model has been developed by employing 5 and 10 different clients' architectures in independent and identically distributed (IID) and non-IID distributions. …”
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Evolution of strain diversity and virulence factor repertoire in pediatric Staphylococcus aureus isolates. by Margaret Free, Nicole Soper, James C Slaughter, Andries Feder, Colleen Bianco, Ahmed M Moustafa, Paul Planet, C Buddy Creech, Isaac Thomsen

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Evolution of Thermal Plasticity in Hymenoscyphus fraxineus During Ash Dieback Expansion in Europe by Clémence Bécans, Cécile Robin, Katharina B. Budde, Luisa Ghelardini, Andrin Gross, Vaidotas Lygis, Lene Rostgaard Nielsen, Gilles Saint‐Jean, Jean‐Paul Soularue

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Analysis of medical exposure levels of the Russian Federation population in 2023 using the updated form No. 3–DOZ by A. V. Vodovatov, E. A. Kosarlukova, A. M. Biblin, R. R. Akhmatdinov, A. A. Bratilova

“…Introduction: To successfully address the challenges of optimizing radiation protection during medical exposure, it is essential to have information on patient exposure levels and the structure of diagnostic radiology in medical organizations across the Russian Federation.   …”
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The structure of forest vegetation on industrial landfills of different ages by Elena Gorozhanina, Dmitry Gura, Patryk Sitkiewicz, Tatyana Degtyarevskaya

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Variability and heterogeneity of seeds: theory and practice (review) by A. F. Bukharov

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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…While edge artificial intelligence (AI) offers potential, its limitations in resource-constrained devices can be mitigated through federated learning (FL). However, challenges remain in accounting for patient variability and optimizing FL for glucose prediction. …”
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A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions by Amjad Rehman, Kamran Ahmad Awan, Amal Al-Rasheed, Anees Ara, Fahad F. Alruwaili, Shaha Al-Otaibi, Tanzila Saba

“…The performance evaluation is conducted on different attack scenarios like Onoff, Whitewashing, DDOS, and Bad Mouthing attacks. …”
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