Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…Traditional diagnostic methods, including visual examination and PCR tests, face limitations such as misdiagnoses, high costs, and unavailability in resource-limited areas. …”
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Machine-Learning-Based Analysis of Internal Forces in Reinforced Concrete Conical and Cylindrical Tanks Under Hydrostatic Pressure Considering Material Nonlinearity by May Haggag, Mohamed K. Ismail, Ahmed Elansary

“…However, simplified analytical methods fall short in providing an accurate analysis, while traditional methods, such as finite element modeling, can be computationally intensive and time-consuming, especially when dealing with nonlinear material properties and complex geometries, like conical and cylindrical shapes. …”
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BRCA1 protein expression and subcellular localization in primary breast cancer: Automated digital microscopy analysis of tissue microarrays. by Abeer M Mahmoud, Virgilia Macias, Umaima Al-Alem, Ryan J Deaton, Andre Kadjaksy-Balla, Peter H Gann, Garth H Rauscher

“…Two different methods were used to label breast cancer tissues for BRCA1: (1) Dual immunofluoresent staining with BRCA1 and cytokeratin 8/18 and (2) immunohistochemical staining using the previously validated MS110 mouse monoclonal antibody. …”
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Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…Through precise feature selection techniques, and using only three key features—Median, Autoregressive coefficients, and Autocorrelation—machine learning models, including Support Vector Machine, K-Nearest Neighbors, and Random Forest, achieved approximately 97% accuracy in detecting virus-infected plants even before the appearance of visual symptoms. This represents superior performance with minimal input data compared to existing methods. …”
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A participatory data-driven approach for unpaved road condition monitoring by Keegan Mbiyana, Mirka Kans

“…Currently, subjective visual surveys and manual methods for monitoring and assessing the condition of unpaved roads dominate, while data-driven objective methods are not commonly applied for maintenance planning and decision-making. …”
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Clinical outcomes of DSAEK with pre-cut grafts of thickness more than 150 microns by Aravind Roy, Tanvi Mudgil, Nikita Das, Megana Peddi, Sunita Chaurasia

“…Purpose: To study the clinical outcomes of descemet stripping automated endothelial keratoplasty (DSAEK) with pre-cut lenticules of thickness above 150 microns. Methods: During the study period Jan 2019 to Sept 2020, 1865 pre-cut DSAEK lenticules were prepared at the institute-affiliated eye bank by two trained technicians. …”
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Summer‐flowering trees and shrubs in landscaping for the south‐eastern coast of the Crimea by N. I. Klimenko, I. L. Potapenko, О. Е. Klimenko

“…To  study  the  species  composition,  form  diversity,  bioecological  features of summer‐ flowering trees and shrubs in green spaces of the  south‐eastern coast of the Crimea and suggest ways to expand the range.  Materials and Methods. The green spaces of Feodosia, Sudak and the  localities of Semidvorye, Solnechnogorskoye, Malorechenskoye, Rybachye,  Morskoye,  Novy  Svet,  Solnechnaya  Dolina,  Shchebetovka,  Kurortnoye,  Koktebel and Primorskiy were investigated. …”
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Scientific Substantiation of the Creation and Prospects for the Development of an Epidemiological Surveillance System for Infection Caused by the Epstein-Barr Virus by T. V. Solomay, E. G. Simonova, T. A. Semenenko

“…Also, improving the control of EBVinfection is impossible without continuing scientific research; professional training of medical workers on the clinic, diagnosis, epidemiology and prevention of EBV-infection; development of modern visual methods and means of informing the population about the clinic and prevention of EBV-infection.…”
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Predicting depression risk in middle-aged and elderly adults in China using CNN-BiLSTM-Attention mechanism and LSTM+SHAP framework by Shengxian Bi, Gang Li, Huawei Tan, Yingchun Chen, Dandan Guo

“…However, current research predominantly employs machine learning (ML) methods to predict depression risk, often overlooking the spatiotemporal heterogeneity of this risk. …”
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Emotion recognition in panoramic audio and video virtual reality based on deep learning and feature fusion by Siqi Guo, Mian Wu, Chunhui Zhang, Ling Zhong

“…Furthermore, the associated methods lack clarity regarding image feature extraction, which contributes to the diminished accuracy of emotion recognition in virtual reality content. …”
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Parent skills training for parents of children or adults with developmental disorders: systematic review and meta-analysis protocol by Corrado Barbui, Chiara Servili, Brian Reichow, Cary Kogan, Isaac Smith, M Taghi Yasamy

“…To locate studies, we will conduct an extensive electronic database search and then use snowball methods, with no limits to publication year or language. …”
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Sirtuins and Their Role in the Aging Eye (Review) by L. K. Moshetova, O. I. Abramova, K. I. Turkina, M. K. Nurbekov, O. P. Dmitrenko, I. N. Saburina, S. A. Kochergin

“…Visual impairment in elderly people is a serious problem that significantly affects the quality of life of millions people around the world. …”
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Functional and Olfactory Outcomes of Inferior Turbinate Hypertrophy Reduction with Laser, Radiofrequency, and Bipolar by Mustafa Caner Kesimli, Eren Yılmaz, Aytuğ Altundağ

“…Objective: This study aims to compare the effects of bipolar cauterization, radiofrequency ablation, and laser reduction methods, which are frequently used for turbinate reduction, on recovery times and olfactory functions in the early postoperative period.Materials and Methods: The olfactory functions of all patients were preoperatively evaluated with the Sniffin’ Sticks test. …”
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Research hotspots and trends of post-stroke depression rehabilitation: a bibliometric analysis from 2003 to 2024 by Hongwei Cai, Hongwei Cai, Shini Cai, Shini Cai, Aihong Li, Aisong Guo

“…A. is the most prolific author (24 publications).ConclusionUsing bibliometric methods, relevant studies on PSD rehabilitation were reviewed. …”
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Results of Accelerated Local Cross-Linking in Keratoconus by H. Khraistin, G. A. Osipyan, S. I. Anisimov, A. K. Dzamikhova, M. Jourieh

“…To analyze the effectiveness of accelerated local corneal cross linking in the treatment of keratoconus (KC). Patients and methods. Thirty-four patients (42 eyes) were included in the study: 19 people (24 eyes) with stage II keratoconus, 15 people (18 eyes) with stage III Amsler keratoconus. …”
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A hybrid super learner ensemble for phishing detection on mobile devices by Routhu Srinivasa Rao, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Bumshik Lee

“…Several antiphishing techniques, such as blacklist-based, source code analysis, and visual similarity-based methods, have been developed to counter phishing websites. …”
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RelVid: Relational Learning with Vision-Language Models for Weakly Video Anomaly Detection by Jingxin Wang, Guohan Li, Jiaqi Liu, Zhengyi Xu, Xinrong Chen, Jianming Wei

“…Weakly supervised video anomaly detection aims to identify abnormal events in video sequences without requiring frame-level supervision, which is a challenging task in computer vision. Traditional methods typically rely on low-level visual features with weak supervision from a single backbone branch, which often struggles to capture the distinctive characteristics of different categories. …”
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Linguistic and Cultural Analysis of Translation Techniqies in the Process of Adaptation of an English Series by N. V. Stepanova, Ye. Yu. Sinitskaya

“…This research was conducted in the context of a linguostylistic approach to the text analysis. Following methods were applied: comparative, directional sampling, classification, text interpretation, component analysis of lexical units, as well as the methods of contextual, semantic-cognitive and linguocultural analysis. …”
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Nutritional interventions in muscle hypertrophy research: a scientometric analysis within the context of resistance training (1992–2025) by Wei Chen

“…Bibliometrix was used to analyze publication trends and thematic evolution; VOSviewer to map keyword co-occurrence and collaboration networks; and CiteSpace to detect citation bursts and visualize knowledge structures. Collectively, these methods facilitated the identification of high-frequency keywords, hotspot transitions, collaborative patterns, and underexplored thematic gaps. …”
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Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases by Fengwei Yao, Ji Luo, Qian Zhou, Luhua Wang, Zhijun He

“…Core risk factors were determined from the intersection of the three methods. A predictive model was constructed using multivariable logistic regression and visualized via a nomogram. …”
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