Personalized dosing protocol for extended-release tacrolimus in kidney transplant recipients in the early postoperative period by A. V. Shabunin, P. A. Drozdov, D. A. Makeev, I. V. Nesterenko, O. S. Zhuravel, L. R. Karapetyan, S. A. Astapovich, Е. A. Lidzhieva

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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

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Epidemiological and spatiotemporal analysis of elderly HIV-1/AIDS patients in Ningxia, China, from 2018 to 2023 by Zhonglan Wu, Yichang Liu, Xiaofa Ma, Yufeng Li, Xiaohong Zhu, Dongzhi Yang, Jianxin Pei, Yong Li

“…Logistic regression analysis showed that males had a lower risk of transmission, individuals from Yinchuan, Shizuishan, and Wuzhong had a lower probability of entering the network, and CRF07_BC and CRF01_AE had a higher risk of transmission. …”
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Integrative analysis of crotonylation-associated genes reveals prognostic and therapeutic targets in gliomas by Bowen Yin, Bowen Yin, Zhuoyang Fan, Panpan Yu, Panpan Yu, Jin Li, Jin Li, Yilin Wang, Yilin Wang, Minfeng Shu, Minfeng Shu

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Study on the factors influencing the impaired abilities of daily living in middle-aged and older adult arthritis patients based on binary logistic regression and categorical decisi... by Bao-xuan Zhang, Bao-xuan Zhang, Bao-xuan Zhang, Jin-ping Luo, Jin-ping Luo, Jin-ping Luo, Jia-ying Sun, Jia-ying Sun, Jia-ying Sun, Ming-hui Geng, Ming-hui Geng, Ming-hui Geng, Yi-fan Mou, Yi-fan Mou, Yi-fan Mou, Nan-nan Cheng, Nan-nan Cheng, Nan-nan Cheng, Zhao-xuan Wang, Zhao-xuan Wang, Zhao-xuan Wang, Wen-qiang Yin, Wen-qiang Yin, Wen-qiang Yin, Zhong-ming Chen, Zhong-ming Chen, Zhong-ming Chen, Dong-ping Ma, Dong-ping Ma, Dong-ping Ma

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Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study by Maik JM Beuken, Melanie Kleynen, Susy Braun, Kees Van Berkel, Carla van der Kallen, Annemarie Koster, Hans Bosma, Tos TJM Berendschot, Alfons JHM Houben, Nicole Dukers-Muijrers, Joop P van den Bergh, Abraham A Kroon, Iris M Kanera

“… BackgroundModern lifestyle risk factors, like physical inactivity and poor nutrition, contribute to rising rates of obesity and chronic diseases like type 2 diabetes and heart disease. …”
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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…Universities can make policies to minimize the number of students dropping out by identifying students at risk in the early stages of education. Dropout students can be predicted through several processes of obtaining patterns or knowledge from data sets called data mining. …”
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Assessment of HIV prevalence in Adults Within the Aliade Community, Benue State. by Deborah Oboli, Monica Anurika Gbuchie, Tonte Nyingifa, Oluchi Mkpae

“… BACKGROUND: Benue State is recognized as one of Nigeria's high-risk zones for HIV, with an estimated prevalence of 4.8% among adults aged 15-64 years. …”
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Tratamiento farmacológico de la diabetes mellitus tipo 2 by Francisco Javier García Soidán, Javier Riveiro Villanueva

“…Abstract: The treatment of type 2 diabetes is based on four fundamental pillars: diet, exercise, therapeutic education, and pharmacological therapy.There are ten groups of antidiabetic drugs that can be classified according to their mechanism of action, effects on body weight, risk of hypoglycemia, and ability to reduce the development of complications.The choice of medication will be individualized based on the preferences and characteristics of the individual, taking into consideration the presence of cardiovascular disease, heart failure, chronic kidney disease, obesity, or non-alcoholic fatty liver disease.The type 2 diabetes mellitus treatment algorithm from the RedGDPS Foundation is an evidence-based tool that can help us select the most appropriate pharmacological therapy depending on the characteristics of each patient.…”
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OSTEOPOROSIS TREATMENT ADHERENCE: RESULTS FROM A RETROSPECTIVE COHORT STUDY by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

“…Patients who were more adherent to OP treatment were those who underwent determination of serum vitamin D levels (p=0.009), calculation of a 10-year absolute osteoporotic fracture risk according to the FRAX® algorithm (p=0.022), an annual bone densitometry examination (p=0.0158) and, more often than annually, biochemical blood tests (p=0.0043), as well as those who had visited their physician 3 times or more during the estimated period (p=0.003). …”
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Management Decisions under Uncertainty Using Controlling Tools by N. V. Koshkina, O. V. Koshkina, B. A. Tkhorikov

“…The resulting decision-making algorithm is not ideal and, with mass implementation, will lead to an increase in risks in the personnel management of educational organizations. …”
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Optimization of Backpropagation (BP) Weight Values Using Particle Swarm Optimization (PSO) to Predict KIP Scholarship Recipients by Dika Kurnia Nanda, Dian Palupi Rini

“…However, BP has disadvantages such as minimum local risk and long training time. To overcome this, the Particle Swarm Optimization (PSO) algorithm is used to optimize the weights of the BP artificial neural network. …”
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Fatigue symptoms in relation to neuroticism, anxiety-depression, and musculoskeletal pain. A longitudinal twin study. by Olav Vassend, Espen Røysamb, Christopher Sivert Nielsen, Nikolai Olavi Czajkowski

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CURRENT PRINCIPLES AND TRENDS OF ATRIAL FIBRILLATION PHARMACOTHERAPY by Yu. A. Bunin

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Hormonal contraception in women with polycystic ovary syndrome: Contraceptive and non-contraceptive effects. A clinical lecture by Olga A. Pustotina

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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

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Expert Recommendations on Antithrombotic Management of Peripheral Artery Disease: Perspectives from Indian Interventional Radiologists by Balaji Patel Kola, Ajit K. Yadav, Shyamkumar N. Keshava, Rochan Pant, Ujjwal Gorsi, Gireesh Mukund Warawdekar, Virender Singh Kapoorsingh Sheorain, Nikhil Bansal, Shuvro Roy Choudhury, Swatee Halbe, Vivek Kisan Ukirde, Arun Gupta, Lijesh Kumar, Rohith Puthan Veettil, Suyash Kulkarni

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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Socio-Demographic Factors Influencing Adoption of Digital Technologies in Beekeeping by Karmańska Anna, Ziemba Ewa Wanda, Maruszewska Ewa Wanda, Jarka Sławomir

“…Experts highlighted several key themes related to adoption, including the perceived need for technology, types of technologies used, data collection practices, benefits for management and marketing, as well as associated risks and challenges. Among the socio-demographic factors, beekeeping experience had the strongest impact on digital technology adoption, followed by formal education in apiculture and the beekeeper’s age. …”
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