Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning by Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu

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Smart Real-time Attendance System for Nigerian Universities by Mikailu Habila, Faseki N. Francisca, Luwani Ishaya, Muhammed Kabir Ahmed, Umar A. Muhammad, Haruna P. Charles

“…This system significantly reduces impersonation, administrative workload, and enhances operational efficiency, making it a scalable and secure solution for attendance management. …”
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Multilobulated congenital epulis protruding from the maxillary anterior alveolar ridge in a four-day-old newborn: A case report by Khalid Almutairi, Rana Alshagroud, Fares Alrawashedah, Tariq Wahass

“…A multidisciplinary approach is required for the effective management of congenital epulis.…”
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Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming by Afif Saifuddin, Wiratmoko Ardan, Nugroho Andri Prima, Okayasu Takashi, Sutiarso Lilik

“…The goal of such analysis is to improve early detection of plant stress contributing to more efficient crop management in indoor farming systems. …”
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring by Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu

“…This review focuses on the recent advances in self‐powered sweat sensors for personalized healthcare, covering sweat sensors, energy harvesters, energy management, and applications. The review begins with the foundations of wearable sweat sensors, providing an overview of their detection methods, materials, and wearable devices. …”
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Near‐Real‐Time Monitoring of Global Terrestrial Water Storage Anomalies and Hydrological Droughts by Shaoxing Mo, Maike Schumacher, Albert I. J. M. vanDijk, Xiaoqing Shi, Jichun Wu, Ehsan Forootan

“…Abstract Global terrestrial water storage anomaly (TWSA) products from the Gravity Recovery and Climate Experiment (GRACE) and its Follow‐On mission (GRACE/FO) have an approximately three‐month latency, significantly limiting their operational use in water management and drought monitoring. …”
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Conventional and Emerging Diagnostic Approaches for Differentiated Thyroid Carcinoma by Kathelina Kristollari, Abraham Abbey Paul, Sagi Angel, Robert S. Marks

“…The diagnosis of DTC has witnessed tremendous progress in terms of technological advancement and clinical operational guidelines. DTC diagnostics have evolved significantly over centuries, from early clinical examinations to modern molecular testing and imaging modalities. …”
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Deep learning models for enhanced forest-fire prediction at Mount Kilimanjaro, Tanzania: Integrating satellite images, weather data and human activities data by Cesilia Mambile, Shubi Kaijage, Judith Leo

“…Integrating human-induced activities with environmental data, these models provide accurate and actionable predictions for fire management in high-risk areas. This study demonstrates the potential of ConvLSTM in developing operational tools for early fire detection, streamlining data-driven decision-making, improving resource allocation, and guiding preventive strategies in fire-prone regions such as Mount Kilimanjaro.…”
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High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixtu... by Minh Tri Le, Khuong H. Tran, Phuong D. Dao, Hesham El-Askary, Tuyen V. Ha, Taejin Park

“…This study further highlighted the potential for future research to implement our proposed framework to generate timely and extensive annotated datasets, which can be used for operationally training machine learning models to map crop types and LULC, track deforestation, detect wildfires, and delineate flooded areas at larger scales using medium/coarse Earth observations.…”
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Underwater polypectomy of colonic polyps versus conventional endoscopic mucosal resection, comparative prospective study by Mohamed El-Ghobary, Wael Aref, Mahmoud Shaaban, Mahmoud Wahba

“…Abstract Background Colorectal polyps is considered one of the most prevalent diseases in gastroenterology, this importance stems from its potential risk of malignancy, so early detection and good treatment is crucial. Recently, endoscopic resection has evolved to be the best modality for management, with conventional endoscopic polypectomy as the modality of choice, but there is also a new technique of underwater polyp removal, which is an alternative for management of colorectal polyps. …”
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Comparative Assessment of Rapid Identification and Antimicrobial Susceptibility Testing Methods for Bloodstream Infections in a Non-24/7 Clinical Microbiology Laboratory by Sunggyun Park, Dohoon Kim, Namhee Ryoo

“…Rapid identification and antimicrobial susceptibility testing are essential for timely bloodstream infection (BSI) management. This study aimed to investigate the performance and turnaround time of multiple rapid diagnostic methods in a microbiology laboratory without 24/7 operation. …”
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Engineered nanoparticle systems: A review on emerging strategies for enhanced cancer therapeutics by Pratima Devi Sivasubramanian, Gayathri Unnikrishnan, Elayaraja Kolanthai, Senthilkumar Muthuswamy

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Osteoarthritis burden and inequality from 1990 to 2021: a systematic analysis for the global burden of disease Study 2021 by Ruofeng Wu, Yu Guo, Yi Chen, Jingwen Zhang

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Hybrid Paddy disease classification using optimized statistical feature based transformation technique with explainable AI by M Amudha, Brindha K

“…Avoiding crop failure due to microbes, viruses, fungi, or environmental stress requires the prompt detection of paddy leaf diseases. Traditional disease classification relies on expert knowledge, which farmers may not always have access to. …”
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Sensor-Based Automatic Recognition of Construction Worker Activities Using Deep Learning Network by Ömür Tezcan, Cemil Akcay, Mahmut Sari, Muhammed Cavus

“…This study is motivated by the need to accurately recognise construction worker activities in labour-intensive environments, leveraging deep learning (DL) techniques to enhance operational efficiency. The primary objective is to provide a decision-support framework that mitigates productivity losses and improves time and cost efficiency through the automated detection of human activities. …”
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Smart system for real time monitoring and diagnosis of dengue surfaces in Bangladesh by Md. Shahriar Hossain Apu, Samsuddin Ahmed, Md. Toukir Ahmed

“…Health surveillance teams operating in malaria and dengue and Zika and Chikungunya endemic areas can effectively use drone or unmanned aerial vehicles (UAVs) as technology to detect and eradicate mosquito breeding sites. …”
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Accuracy evaluation of Roche Accu‐Chek Performa blood glucose meters at low glucose concentrations: A nine‐year retrospective study by Zhipeng Zhao, Runqing Li, Xiuying Zhao, Lina Zhang, Tengjiao Wang, Song Yang, Ning Han, Dong Zhu

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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…The underground engineering robot measurement deformation monitoring system based on the IoT architecture has high reliability and operability, and provides strong support for the safety management of underground engineering.…”
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PILICA Anti-Aircraft Rocket-Artillery System - a V-SHROAD System by Dariusz DOMOŃ, Stanisław DUDA, Maciej ŁABNO

“…PILICA's task is that of detecting, recognising, and identifying objects, then automatically dividing the tasks and commands for efficient elimination. …”
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Tracheostomy Care Knowledge among Clinical Nurses in Birat Medical College Teaching Hospital: An Observational Study by Bipin Koirala, Rajeev Kumar Shah, Rahul Mahato

“…Good tracheostomy care knowledge helps early detection and timely management of tracheotomy related complications. …”
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