Infrastructure support for software import substitution by V. K. Grigoryev, A. A. Biryukova, M. A. Ovchinnikov

“…Implementation and development of the proposed methodology, based on the technology of advanced training of mass professional users, in the form of the infrastructure part of the program of transition to the Russian software will provide:confidence in the possibilities of the Russian software to replace painlessly the used foreign products;simplification and acceleration of the process of implementation of the developed software, by reducing the time of user training and minimizing the time of distraction of developers;obtaining objective quantitative results of advanced functional and interface beta testing of the implemented software;obtaining an effective tool to support the implementation and quality assessment of the Russian software by collecting statistical data for the analysis of the implemented software product.…”
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Outcome of Ischemic Stroke Patients Following Decompressive Craniectomy: A Cohort Study by Mohammad Jamali, Mahyar Noorollahi, Ehsan Mohammad Hosseini, Abdolkarim Rahmanian, Mohammad Sayari, Sulmaz Ghahramani

“…The analysis showed that patients over 60 had a lower probability of achieving better outcomes in the GOSE model (OR=0.185) and were likely to have worse outcomes in the mRS model (OR=5.182).Conclusion: These findings underscored the critical role of comorbidities (such as COVID-19 and prior stroke) and GCS scores in predicting patient survival and functional outcomes following DC. …”
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Factors Related to Delayed Antiretroviral Therapy Initiation in HIV Patients by Dwi Rahayu NLP, Teguh H Karjadi, Erni J Nelwan, C Martin Rumende

“…Based on the bivariate analysis, there were three variables statistically significance, which were advanced WHO clinical stage (p<0.001), lower functional status (p<0.001) and the presence of opportunistic infection (p<0.001). …”
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The Microchimerism Literature Atlas by Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis

“…The MCLA dataset offers a clearly structured data table view, combined with dynamic graphical data representation and visual citation analysis, aiding in the investigation and identification of research trends and patterns. …”
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A New Ultralightweight RFID Mutual Authentication Protocol: SASI Using Recursive Hash by Umar Mujahid, M. Najam-ul-Islam, Atif Raza Jafri, Qurat-ul-Ain, M. Ali Shami

“…In this paper, we present a more sophisticated UMAP to provide Strong Authentication and Strong Integrity (SASI) using recursive hash function. The proposed protocol incorporates only simple bitwise logical operators XOR, Rot, and nontriangular function (recursive hash) in its design, which can be efficiently implemented with a low cost passive RFID tag. …”
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A novel wide input range transformerless PV microinverter with natural power decoupling by Osama Elbaksawi, Youssef Nasr Ashour, Ahmed F. Abouzeid, Mahmoud Fawzi

“…The proposed topology uses six switches: two of those switches function at line frequency every half cycle while the other switches function at high switching frequency. …”
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SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm by Mohsen Nokhodchian, Mohammad Hossein Moattar, Mehrdad Jalali

“…The method leverages a spectral decomposition criterion to obtain a low-dimensional embedding that captures the intrinsic geometric structure of the data. Additionally, this paper presents a solution for addressing the Stiefel manifold problem and utilizes a Riemannian-based trust region algorithm to optimize the loss function. …”
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Сryosurgery possibilities for nevus in intermarginal eyelid space by A.N. Steblyuk, V.E. Gunter, S.N. Sahnov, P.A. Khloponin, Е.V. Bykova, Zh.G. Litvinova

“…Depending on the size of the pathological formation, exposure duration, the frequency of application repetitions per session, the nevus regression occurred within 1.5–2.0 months with preserving the integrity of the eyelid intermarginal space and the eye functional condition. Conclusion. The analysis of the data obtained evidences for a high clinical and cosmetic cryosurgery effectiveness for the eyelid nevus intermarginal space using an autonomous cryoapplicator of porous-permeable titanium nickelide.…”
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The pain ratio before and after the application of physiotherapy for dysfunction of temporomandibular joint by Lejla Hadžić, Peter Heidemann, Samir Bojičić, Namik Trtak, Eldad Kaljić, Amra Mačak Hadžiomerović

“…It has been proven that physiotherapy focused on temporomandibular dysfunction is an essential element of treatment that leads to a reduction in pain, an improvement in temporomandibular joint (TMJ) function, and an improvement in quality of life. Physiotherapy treatment aims to alleviate the symptoms and try to restore the normal function of the masticatory system, for which various techniques can be used. …”
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Algoritmo para el cálculo de la transformada Z inversa utilizando DERIVE // Algorithm for the calculation of the transformed inverse Z using the mathematical assistant DERIVE. by D. Galán Martínez, R. Brito González

“…<br />The present work has as objective the confection of a program for digital computer, using the mathematical assistant<br />DERIVES, for the determination of the Z inverse transformed of a rational algebraic function, which model mathematically<br />the systems of lineal data control samples that appear very frecuently in the study of the engineering processes</p><p><br />Key words: algorithm, Z inverse transformed, Derives, Digital computer program, Rational algebraic<br />function, mathematical model.…”
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Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning by Yongguang Liang, Jingru Yang, Shuoyang Wei, Yanfei Liu, Shumeng He, Kang Zhang, Jie Qiu, Bo Yang

“…A total of three criteria-calibration approaches to solve the data imbalance problem in dose prediction were introduced and compared, including Prediction Tolerance function on uTPS (United Imaging Healthcare Co., Ltd., Shanghai), transfer learning, and mixture density network. …”
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Overview of Effects of Motor Learning Strategies in Neurologic and Geriatric Populations: A Systematic Mapping Review by Li-Juan Jie, PhD, Melanie Kleynen, PhD, Guus Rothuizen, MSc, Elmar Kal, PhD, Andreas Rothgangel, PhD, Susy Braun, PhD

“…After screening, 87 articles were included for further analysis. Two reviewers extracted descriptive data regarding the population, type of motor learning strategy/intervention, frequency and total duration intervention, task trained, movement performance measures, assessment time points, and between-group effects of the included studies. …”
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Results of chalazion cryosurgery with an increased risk of complications by A. N. Steblyuk, V. E. Gunter, V. N. Khodorenko, E. V. Bykova, R. A. Avakimyan, I. A. Geiko, A. L. Dmitrieva

“…Depending on the size of the pathological formation, the duration of the exposure, the frequency of repetitions of the applications during the session, the regression of the chalazion occurred within 1–1.5 months with the preservation of the integrity of the intermarginal space and the functional state of the eyelid.Conclusion. Analysis of the data obtained indicates a high clinical and cosmetic effi ciency of cryosurgery of the eyelid chalazion using an autonomous cryoapplicator made of porous-permeable titanium nickelide.…”
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Integrating Visualisation Tools into the Text of an Original Research Manuscript: Lexical Bundles and Textual Comments by Elena V. Tikhonova, Daria A. Mezentseva

“…To evaluate the ways of mentioning and describing visualisations, a comprehensive procedure was applied, including search and selection of articles, extraction of raw data, their coding, analysis and systematisation. …”
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Immune Microenvironment Characterization and Machine Learning-Guided Identification of Diagnostic Biomarkers for Ulcerative Colitis by Zheng Q, Wang L, Zhang Y, Peng J, Hou J, Wang H, Ma Y, Tang P, Li Y, Li H, Chen Y, Li J, Chen Y

“…Additionally, machine learning models identified 99 candidate genes, from which an optimal diagnostic model comprising eight crucial genes (GATA2, IL8, LAT, NOLC1, SMARCA5, SMC3, STX10, ZMIZ1) was constructed, achieving an AUC of 0.964 in the training dataset, 0.926 in the internal test dataset, and 0.884 in the independent test dataset. Functional enrichment analysis revealed associations with inflammatory and immune-regulatory pathways, highlighting their biological relevance. …”
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Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network by Shunfeng Zhang, Peiqing Li, Biqiang Zhong, Jin Wu

“…Improving and optimizing the membership function of the Takagi–Sugeno (T-S) model improves its predicted result accuracy compared to a traditional T-S model. …”
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Bayesian methods for estimating injury rates in sport injury epidemiology by Avinash Chandran, Ben Lambert

“…Traditional approaches to surveillance-based injury rates use a frequentist perspective; here, we discuss the Bayesian perspective and present a practical framework on how to apply a Bayesian analysis to estimate injury rates. We estimated finescale injury rates across a broad range of categories for men’s and women’s soccer, applying a Bayesian methodology and using injury surveillance data captured within the National Collegiate Athletic Association Injury Surveillance Program from 2014/15–2018/19. …”
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Establishing model uncertainty of SLS reinforced concrete crack models applied to load-induced cracking by Christina Helen McLeod

“…However, in some specialist structures such as water retaining structures, the SLS such as cracking is the limiting design criterion, specifically the crack width required to control leakage and thus requires a proper probabilistic analysis. In probabilistic crack models, the reliability of the crack model is determined by the performance function whereby the design limiting crack width is greater than the estimated crack width calculated using the appropriate design crack model. …”
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DIAGNOSTIC CRITERIA FOR THE FORMATION OF GLAUCOMATOUS OPTIC NEUROPATHY AT THE VARIOUS STAGES OF THE DISEASE by A. G. Shchuko, Y. S. Pyatova, T. N. Iureva, A. S. Grishchuk

“…Thus, through careful clinical analysis of data and assessment of excavation size of the optic nerve, using certain optical coherence tomography (OCT), all patients were divided into 3 groups. …”
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Identification of the metabolic protein ATP5MF as a potential therapeutic target of TNBC by Kaiyan Chen, Yingchun Wu, Linfeng Xu, Changyong Wang, Jinqiu Xue

“…Employing the high dimensional weighted gene coexpression network analysis (hdWGCNA) method, we analyzed the tumor epithelial cells from non-BRCA1/2 mutation TNBC to identify the functional module genes. …”
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