Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm by Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin

“…The results indicate that this study, through a combination of text mining, HFACS, Apriori, and collinear network visualization, conducted in-depth mining and analysis of the text data. …”
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Creating a collaborative system for physical protection simulation in nuclear facility with virtual by A. G. N. Santo, A. C. A. Mól, D. M. Machado, E. R. Marins

“…Thus, this system will allow to simulate approach strategies, allowing an evaluation of the procedures performed, as well as assist in physical protection training in radioactive and nuclear facilities.…”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…To assess the discriminative quality of the selected features, t-distributed stochastic neighbor embedding (t-SNE) is used for visualization, revealing clear class separability in the transformed feature space. …”
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A multidisciplinary evaluation of robotic-assisted surgery effectiveness and its implications for healthcare education and practice - review of literature by Justyna Korus, Natalia Hopej, Aleksandra Grzegorczyk, Nicol Dardzińska, Marta Dziedziak

“…On the other hand, there are also negative aspects such as the need for specialist staff training and the cost of surgery using a robot. All of the above should be taken into account when qualifying the patient for the method of performing the surgery and considering the possible benefits that he or she is able to achieve. …”
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Nonunion Rate and Clinical Outcomes Following Percutaneous Modified Lapidus Procedure with Intramedullary Nail Fixation and Early Weightbearing by Amos Dai MD, Walter C. Hembree MD, Solangel Rodriguez Materon MD, Eslam Alkaramany MD, Nacime Salomao Barbachan Mansur MD, PhD, Gregory P. Guyton MD

“…Methods: A retrospective chart review was performed for a consecutive series of 88 feet in 70 patients who underwent the PML technique from June 2018 to January 2023 by two fellowship-trained orthopedic foot and ankle surgeons. …”
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Leveraging spatial dependencies and multi-scale features for automated knee injury detection on MRI diagnosis by Jianhua Sun, Ye Cao, Ying Zhou, Baoqiao Qi

“…The MRNet dataset, consisting of knee MRI scans from 1,370 patients, is used to train and validate KneeXNet.ResultsThe performance of KneeXNet is evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC) metric and compared to state-of-the-art methods, including traditional machine learning approaches and deep learning models. …”
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Real-Time Forest Fire Detection with Lightweight CNN Using Hierarchical Multi-Task Knowledge Distillation by Ismail El-Madafri, Marta Peña, Noelia Olmedo-Torre

“…The method integrates multi-task knowledge distillation, transferring knowledge from a high-performance DenseNet201 teacher model that was trained on a hierarchically structured wildfire dataset. …”
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Neural Network-Aided Milk Somatic Cell Count Increase Prediction by Sára Ágnes Nagy, István Csabai, Tamás Varga, Bettina Póth-Szebenyi, György Gábor, Norbert Solymosi

“…Subclinical mastitis (SM) is the most economically damaging yet often visually undetectable disease of dairy cows. Early detection and treatment can reduce the loss caused by the disease; thus, the continuous improvement of SM diagnostic methods is necessary. …”
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Deep Learning-Based Detection and Assessment of Road Damage Caused by Disaster with Satellite Imagery by Jungeun Cha, Seunghyeok Lee, Hoe-Kyoung Kim

“…However, a key finding of this study is that even this best-performing model is constrained by a low detection recall (0.445 ± 0.051) for the ‘damaged road’ class. …”
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Unknown IoT Device Identification Models and Algorithms Based on CSCL-Siamese Networks and Weighted-Voting Clustering Ensemble by Junhao Qian, Wenyu Zheng, Xulin Lu, Zhihua Li

“…First, we integrate data visualization techniques with a permutation sample-pairing strategy to generate a complete and nonredundant set of positive–negative sample pairs. …”
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Quality Assessment of Plain Chest X-Rays of the Expatriates in Jordan: Multi-Centres Study by Ayasrah M, Al Hrout RA, Rawahneh K

“…While exposure and anatomical visualization demonstrated adequate compliance, organ superimposition and image annotation were much lower, at 23% and 29%, respectively, revealing gaps that may impact diagnostic accuracy and patient safety.Conclusion: Significant discrepancies in CXR quality highlight the need for enhanced training, rigorous adherence to imaging protocols, and robust quality control to improve diagnosis accuracy and patient outcomes, especially in expatriate screening programs.Keywords: patient safety, diagnostic imaging quality, radiographic standards compliance, digital radiography, healthcare quality…”
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Accessibility of Massive Open Online Courses in Computer Sciences and Programming for Persons with Disabilities by E. A. Kosova, A S. Gapon, K. I. Redkokosh

“…Assistive technology almost always reproduces the code with errors and gaps, and embedded compilers have impaired access to the visual interface and feedback.Conclusion. To improve the web accessibility of the MOOCs in computer science and programming, the following steps should be carried out: 1) common platform accessibility errors should be fixed and the content of the published MOOCs should be brought in line with the Web Content Accessibility Guidelines (WCAG) 2.1; 2) only those courses should admit for publication on platforms, that have passed the web accessibility assessment procedure; 3) MOOCs’ production teams should be trained in the basics of web accessibility and develop new courses in accordance with WCAG 2.1; 4) attention should be paid to the creation of ergonomic compilers in accordance with the requirements for accessible software and web development tools.…”
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Prevalence and determinants of oral potentially malignant disorders in western rajasthan by Janesh Kumar Gautam, Suman Sundar Mohanty, Bontha V. Babu

“…A cross-sectional study was conducted in six blocks of Jodhpur, Rajasthan. The trained Community Health Officers (CHOs) of Ayushman Arogya Mandir (erstwhile Health and Wellness centers) performed an Oral Visual Examination (OVE) to screen the participants for OPMDs. …”
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Buttock Augmentation Using Doppler Ultrasound-guided Cannulation for Patient Safety by Luis F. Reyes, MD, Nicole G. Echeverry, MD, Hugo A. Aguilar, MD, Juan M. Velasco, MD, Brian Ramírez, MD, MSc, PhD(c), Silvia Villabona, MD, Hector M. Serrano, MD, Agustina Varela, BA

“…In a sample of 177 patients who received gluteal fat grafting, we found that the visualization of perforating arteries had a median of 9 arteries (interquartile range: 2) per buttock. …”
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AI-Driven Innovation Using Multimodal and Personalized Adaptive Education for Students With Special Needs by Nesren Farhah, Muhammad Adnan, Ahmed Abdullah Alqarni, M. Irfan Uddin, Theyazn H. H. Aldhyani

“…These XAI instruments allowed the model’s decision to be explained and visualized so that teachers could understand the main beneficiaries of the improved educational results. …”
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SAMSurg: Surgical Instrument Segmentation in Robotic Surgeries Using Vision Foundation Model by Nevin M. Matasyoh, Franziska Mathis-Ullrich, Ramy A. Zeineldin

“…However, the dynamic and visually complex environment of robotic surgeries poses significant challenges in the accurate semantic segmentation of surgical instruments, a critical task for navigating surgical robots and ensuring surgical safety. …”
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An Innovative Artificial Intelligence Classification Model for Non-Ischemic Cardiomyopathy Utilizing Cardiac Biomechanics Derived from Magnetic Resonance Imaging by Liqiang Fu, Peifang Zhang, Liuquan Cheng, Peng Zhi, Jiayu Xu, Xiaolei Liu, Yang Zhang, Ziwen Xu, Kunlun He

“…Our dual-path architecture combines a CNN-LSTM encoder for cine CMR analysis and an MLP encoder for IVPG time-series data, followed by feature fusion and dense classification layers. Trained on a multicenter dataset of 1196 patients and externally validated on 137 patients from a distinct institution, the model achieved a superior performance (internal AUC: 0.974; external AUC: 0.962), outperforming ResNet50, VGG16, and radiomics-based SVM. …”
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Challenges facing physicians in death certification of under-five mortality in Egypt by Mirette M Aziz, Nevein Dous

“…Field visits of health offices were performed to observe the procedure of death registration, visualize a sample of the hospitals’ Death Notification Forms (DNFs) and death certificates of U5M, and explore the used electronic system of death registration. …”
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Pediatric endoscopic retrograde pancreatography expertise in chronic pancreatitis: a single-center analysis by Hongxi Guo, Juan Luo, Hu Yang, Jun Yang, Hongqiang Bian, Xufei Duan, Xin Wang

“…Body mass index (BMI) also showed a significant improvement post-treatment compared to pre-treatment (P < 0.05).ConclusionsERP performed by trained endoscopists utilizing standard adult endoscopes and accessories proved a safe and effective treatment option for pediatric CP, with complication rates comparable to those reported in adult cases.…”
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A comparative analysis of feedback delivery modality within a Precision Teaching protocol to enhance drivers’ lane maintenance by Mariaelena Tagliabue, Giulia De Cet, Federico Orsini, Massimiliano Gastaldi, Riccardo Rossi

“…Overall, 80 participants were involved in a driving simulator study in which they were asked to perform four consecutive trials, the first without feedback and others with feedback delivery.Participants were divided into three groups, each assigned to an experimental condition based on feedback administration: Auditory (A), Visual (V), and combined (VA). …”
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