Hip and Groin Problems in Female Team-Sport Athletes: A Cross-Sectional Study by Juan Diego Stadelmann, Freddy Reichmann, Romana Franceschini-Brunner, Andrea Mosler, Nicola A. Maffiuletti, Mario Bizzini

“…Iliopsoas-related groin pain was the most common category diagnosed, accounting for 58.8% of cases, followed by hip-related groin pain (17.6%), adductor-related (11.8%), and inguinal- and pubic-related pain (both 5.9%). …”
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Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

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Automatic assessment of nailfold capillaroscopy software: a pilot study by Olga Elżbieta Brzezińska, Krzysztof Andrzej Rychlicki-Kicior, Joanna Samanta Makowska

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Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

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Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning by Rafiqul Islam, Al Imran, Md. Fazle Rabbi

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Incidence and pathological features of IgA nephropathy before and during the COVID-19 pandemic by Wen Liu, Ricong Xu, Di Wu, Zhihang Su, Yuan Cheng, Haofei Hu, Xinzhou Zhang, Qijun Wan

“…The study focused on variations in the incidence of IgAN, and collected clinical and pathological data to assess pathological changes using the Oxford Classification (MEST-C). The findings revealed a significant increase in the incidence of IgAN during the COVID-19 pandemic, from 39.9% prior to the pandemic to 46.3% during it, representing a net increase of 6.4% (P < 0.001). …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

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Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

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Gestational diabetes versus pregestational diabetes. Perinatal results. by Cristóbal Torres González, Joselin Moreno Torres, Juan Carlos Pastrana Tapia, Vivian Vázquez Martínez

“…According to Marquez Guillén classification , the bad fetal-maternal prognosis (X=16.37, p < 0.05), the treatment with diet plus insulin(X=53.5, p < 0.05),abortio(X=32.2, p < 0.05),pre term delivery (X=11, p < 0.05),maternal morbidity (X=36.8, p < 0.05) and perinatal morbidity (X=39.6, p < 0.05) were the most frequent in pregestationaldiabetes than in gestational diabetes.…”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

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Calculated parameters for the diagnosis of Wilson disease by Nada Syazana Zulkufli, Pavai Sthaneshwar, Wah-Kheong Chan

“…Similarly, molar NCC below the European cut-off of 1.6 umol/L showed higher accuracy than the American cut-off of 3.9 umol/L (80.3% vs. 59.6%) (P < 0.001). …”
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Enhancing spectral imaging with multi-condition image fusion by Joana Teixeira, Tomás Lopes, Diana Capela, Catarina S. Monteiro, Diana Guimarães, Alexandre Lima, Pedro A. S. Jorge, Nuno A. Silva

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Clinicopathological features and evaluation of microsatellite stability of colorectal carcinoma with cribriform comedo pattern by Tuğba Günler, Pinar Karabağli, Hicret Tiyek, Özge Keskin, Muslu K. Körez

“…Background: Cribriform comedo-type adenocarcinoma (CCA) was a colon cancer subtype defined in the 2009 World Health Organization (WHO) classification. In the 2018 classification, it was a colon cancer subtype included in the adenocarcinoma, Not otherwise specified (NOS) group. …”
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

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Tensor weight structures and t-structures on the derived categories of schemes by Dubey, Umesh V., Sahoo, Gopinath

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The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

“…In human body parsing experiments, results from two different datasets demonstrate that the CANet model achieves the highest mean Intersection over Union, improving by at least 6.02&#x0025; compared to other models. These findings indicate that the proposed CANet model performs better in image classification and human body parsing tasks, presenting higher accuracy and generalization capabilities. …”
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Anthropometric Evaluation of pupils from APAE Araras-SP having Down Syndrome by Carolina Barbosa Ribeiro, Mércia Tancredo Toledo

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Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

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An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection by zahra asgari varzaneh, soodeh hosseini

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