An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…To address this challenge, Deep Learning (DL) methods offer an efficient and automated approach to facilitate timely treatment and improve patient outcomes. …”
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Evaluation of CBCT reconstructed tooth models at different thresholds and voxels and their accuracy in fusion with IOS data: an in vitro validation study by Yusong Zhang, Yixin Liu, Tianqi Liu, Jiahao Zhang, Peiying Lin, Dongxu Liu

“…Smaller voxel sizes yield higher reconstruction precision, and different voxel sizes and tooth regions correspond to distinct optimal segmentation thresholds. The validated semi-automated crown-root fusion algorithm significantly enhances overall model accuracy, offering new possibilities for clinical applications.…”
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APAH: An autonomous IoT driven real-time monitoring system for Industrial wastewater by Nishant Chavhan, Resham Bhattad, Suyash Khot, Shubham Patil, Aditya Pawar, Tejasvi Pawar, Palomi Gawli

“…APAH utilizes advanced technologies including, the Internet of Things (IoT) and Machine learning (ML) to provide real-time monitoring and control of wastewater treatment processes. Automated valve controls and real-time alerts enable timely intervention, preventing contamination and ensuring compliance with environmental standards. …”
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Quality, topics, and demographic trends of animal systematic reviews - an umbrella review by Bernard Friedrich Hild, David Brüschweiler, Sophia Theodora Katharina Hild, Julia Bugajska, Viktor von Wyl, Marianna Rosso, Kimberley Elaine Wever, Eva Furrer, Benjamin Victor Ineichen

“…They originate from 64 countries, with the United States, China, the UK, Brazil, and Iran being the most prolific. The automated quality assessment indicated high reliability, with F1-scores over 80% for most criteria. …”
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EXPERIENCE OF IMPLEMENTING THE DISTANCE E-COURSE “STATISTICAL METHODS IN PHARMACY” IN THE MATHEMATICAL TRAINING OF FUTURE PHARMACEUTICAL SPECIALISTS by Iryna Zhovtonizhko, Maryna Nessonova, Mariana Barannyk, Nadiia Sheykina, Olga Marchenko

“…It is demonstrated, using the example of the developed by the authors distance course “Statistical Methods in Pharmacy”, implemented with the LMS Moodle, that a successful combination of methodological approaches and innovative teaching methods, aimed at implementing a competency-based approach in education, along with modern information technology providing online access to educational content, including tools for feedback support, practical skills development, and automated self-assessment, ensures the effectiveness of achieving educational goals by learners and the formation of professional competencies defined by the educational program. …”
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Distribution of trial registry numbers within full-text of PubMed Central articles: implications for linking trials to publications and indexing trial publication types by Arthur M. Holt, Ang Michael Troy, Neil R. Smalheiser

“…They also potentially provide information to assist automated tools in assigning publication types to articles.…”
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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

“…ABSTRACT Aim/Introduction We assess the efficacy of artificial intelligence (AI)‐based, fully automated, volumetric body composition metrics in predicting the risk of diabetes. …”
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Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors by Letha Chemmalil, Tanmay Kulkarni, Mathura Raman, Priya Singh, Yueming Qian, Chris Chumsae, Kyle McHugh, Zhuangrong Huang, Eric Hodgman, Michael C. Borys, Julia Ding, Gloria Li, Anthony Leone

“…The system consists of a micro‐sequential injection analyzer (µSIA) interfaced with SegFlow and an ultra performance liquid chromatography (UPLC). The fully automated architecture exemplifies the execution of online sampling, automatic sample preparation, and subsequent online UPLC analysis. …”
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HALAL INDUSTRY IN KYRGYZSTAN: CURRENT STATE AND DEVELOPMENT PROSPECTS by Niyazali Turdalievich Aripov, Murat Zhuratovich Abdiev, Ahmad Syukran Baharuddin, Mirlanbek Baidusenovich Ubaidullaev

“…It was examined whether it is necessary to create an appropriate infrastructure, increase the efficiency of the value chain, integrate the participants of the halal market: the private sector, government agencies and foreign investors, improve the qualifications and skill of workers, introduce an automated traceability system for halal products, introduce rules for trading halal products in retail establishments and implement a control system. …”
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An Energy Modulation Interrogation Technique for Monitoring the Adhesive Joint Integrity Using the Full Spectral Response of Fiber Bragg Grating Sensors by Chow-Shing Shin, Tzu-Chieh Lin, Shun-Hsuan Huang

“…Monitoring damage development can then be easily automated, and the technique is well-suited for practical applications. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…The solution we propose has multilabel capability and is automated and customizable, and it is more accurate and adaptable than traditional machine learning methods in extant research. …”
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The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin by Imre M. Jánosi, Imre M. Jánosi, István Zsuffa, István Zsuffa, Tibor Bíró, Boglárka O. Lakatos, Boglárka O. Lakatos, András Szöllősi-Nagy, Zsolt Hetesi, Zsolt Hetesi

“…Most records cover 2–3 decades with an automated high temporal sampling frequency (15 min), and a few span 120 years with daily or half-daily records. …”
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The Design and Performance Evaluation of a Wireless Sensor Network Based Irrigation System on Different Soil Types by Buhari Umar, Eustace Manayi Dogo, Bello Kontagora Nuhu, Arifa Khatoon Haq, Paul Tobi Olaleye

“…Irrigation consumes a lot of water, time and must be done on a timely basis. The automated irrigation system helps to curb the problem of overwatering and under watering of the land. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many researchers due to its widespread application in surveillance systems, healthcare environments, and many more. …”
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On occurrence of some avian bacterial diseases and biosafety provision by T. V. Kurmakaeva, S. S. Kozak, E. S. Baranovich

“…According to the VESTA automated system, during the study period, incompliances with microbiological safety parameters were detected in 16.11% of poultry meat and poultry product samples, of which 10.98% of the samples contained mesophilic aerobic and facultative anaerobic microorganisms, and 5.13% contained Escherichia coli. …”
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Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…Ultimately, this work contributes to fostering transparency and integrity in journalism through innovative AI-driven methods for fake news classification and automated fake news classifier systems.…”
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Visual Gradation of Biological Soil Crust Development: A Simple and Effective Recording Method by Xinyu Zhang, Ping He, Jie Xu

“…Future research should focus on expanding the grading method to include lichen crust, refining it across diverse ecosystems, and exploring the integration of advanced technologies such as hyperspectral imaging and machine learning to automate and improve the classification process. This study provides a simple and effective grading method for visually recording the developmental stages of biological soil crusts, which is useful for ecological research and field applications.…”
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Three-dimensional reconstruction and connectivity analysis of REV-size organic matter in shales by Dongchen Liu, Dongchen Liu, Dongchen Liu, Xuefeng Yang, Xuefeng Yang, Shengxian Zhao, Shengxian Zhao, Deliang Zhang, Deliang Zhang, Shan Huang, Shan Huang, Ning Zhu, Ning Zhu, Jianqi Rong, Bowen Shi, Zhiwei Wang, Chao-Zhong Qin

“…To address this gap, in this work, we develop a novel workflow for numerical reconstruction of REV-size digital rocks of OM that integrates high-resolution information of pore structures in large-view MAPS (modular automated processing system) images. Specifically, the open source code, SliceGAN, is used in the 3D reconstruction of digital rocks of OM, while the high-resolution information of OM pore structures is integrated into the digital rocks in terms of the classification of OM in the MAPS images. …”
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Behavior of Mortality in Cienfuegos Province in the Period 2013-2022 by Jorge Enrique Portell del Sol, Dania Lázara Pedraza Alejo, Yusimí Alejo Padrón, Leticia Castro Morejón, Ling Denisse Santeiro Pérez, Yaniela Sarmiento Albelo

“…The data were obtained from the MortaPro and Mortagen automated system, from the provincial department of medical records and statistics. …”
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Evaluation of Problem Based Gamification Learning (PBGL) Model on Critical Thinking Ability with Artificial Intelligence Approach Integrated with ChatGPT API: An Experimental Study by Remerta Noni Naatonis, Rusijono Rusijono, Miftakhul Jannah, Edwin Ariesto Umbu Malahina

“…Key challenges included integration of the ChatGPT API, implementation of A.I-based automated feedback, and maintaining consistency and fairness in testing. …”
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