An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

“…The AGS network demonstrates how integrating diverse methods can improve the performance of skin cancer classification models.…”
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Network Analysis of Key Instrumental Activities of Daily Living and Cognitive Domains for Targeted Intervention in US Older Adults Without Dementia: Cross-Sectional Study by Jiaying Li, Rendong He, Erh-Chi Hsu, Junxin Li

“…Nonparametric and case-dropping bootstrap methods checked network stability. Network comparison tests assessed sex differences with Benjamini-Hochberg adjustments. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

“…Conventional identification methods, such as ear tags and wearable sensors, often compromise animal comfort and produce inconsistent data under real-world farm conditions. …”
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Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic by Alfredo Madrid-García, Dalifer Freites-Núñez, Beatriz Merino-Barbancho, Inés Pérez Sancristobal, Luis Rodríguez-Rodríguez

“…Statistical learning methods, gene therapy, telemedicine, or precision medicine are other advancements that have gained relevance in the field. …”
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Efficacy of single vs. multiple botulinum toxin type A injections for trigeminal neuralgia by Ying-ying Xu, Cheng-wei Guo, He-jing Chen, Ji-li Bao, Ying Li, Shu-yang Ma, Qi-lin Zhang, Jing Liu, Wei-feng Luo

“…BTX-A injections were performed by the same physician using the same methods. Pain severity was assessed using the visual analog scale (VAS). …”
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Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations by James Rudd-Jones, Fiona Thendean, María Pérez-Ortiz

“…In the last decades, policymakers increasingly use simulations and computational methods to guide some of their decisions. Integrated Assessment Models (IAMs) are one of such methods, which combine social, economic, and environmental simulations to forecast potential policy effects. …”
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Disease course of Chronic Relapsing Inflammatory Optic Neuropathy (CRION) in a single care center by Luis Enrique MOLINA-CARRIÓN, Josehp LIRA-TECPA, María Pilar JIMÉNEZ-ARELLANO, María Pilar CRUZ-DOMÍNGUEZ, Gabriela MEDINA

“…Demographic and clinical data, including initial presentation, symptoms, number of relapses, time delay in diagnosis, diagnostic methods, and treatment were obtained from clinical files. …”
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Criteria of evaluating augmented reality applications by M. R. Ablyaev, A. N. Abliakimova, Z. S. Seidametova

“…We provide analysis and evaluation of AR apps through each characteristic using guidelines which we have developed.Materials and Methods. An AR application is a software application that integrates digital visual, audio and other types of content into a real-world environment. …”
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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

“…Slides were visualized and quantified using the VECTRA Automated Multispectral Image Analysis System and InForm software.…”
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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

“…Bioecological and phenological  studies of ornamental trees and shrubs were undertaken according to  generally accepted methods.  Results. The species composition and shape diversity of summer‐flowering  trees and shrubs in green plantings of Crimea’s south‐eastern coast were  identified. …”
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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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