On the Early Diagnosis of Basal Cell Carcinoma (Case Description) by M. A. Gomberg, Z. R. Khismatullina, N. K. Fayzulin, A. M. Titoyan

“…On the example of a clinical case, an analysis of diagnostic errors regarding this disease was carried out.Case Description. …”
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Recording practices of body mass index, overweight and obesity by Dutch general practitioners: an observational study by Willemijn J. van den Hout, Petra G. van Peet, Mattijs E. Numans, Dennis O. Mook-Kanamori

“…This study aimed to evaluate recording practices of BMI, overweight, and obesity in adults including subgroup analysis of age, sex, and comorbidities in primary care in the Netherlands. …”
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Framework Design for the Dynamic Reconfiguration of IoT-Enabled Embedded Systems and “On-the-Fly” Code Execution by Elmin Marevac, Esad Kadušić, Nataša Živić, Nevzudin Buzađija, Samir Lemeš

“…With these promising results, however, challenges like occasional deserialization time outliers and the need for optimization in memory management and network protocols remain for future work. This study also provides a comparative analysis of currently available commercial solutions, highlighting their strengths and weaknesses.…”
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Low Noise Programmable DC Amplifier with Remote Control by Viktor E. Ivanov, Chye En Un

“…External digital control was based on a single-chip microcontroller PIC18F2550, using the "Master-Slave" channel level protocol and ASCII-command-line interface based on RS-485 network. This control enabled adaptation for measuring electronic component noise, low currents and voltages, flicker noise and the construction of systems for information collecting and processing. …”
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Investigating emergency rescue readiness on Indian national highways: A case study of Jaipur-Jodhpur Highways (India) using a geospatial approach by Giribabu Dandabathula, Subham Roy, Koushik Ghosh, Ishani Chadha, Sejal Rathore, Gaurav Kumar, Nitin K. Joshi, Pankaj Bhardwaj, Apurba Kumar Bera, Sushil K. Srivastav, Madhu Raikwar

“…Methods: A Geographic Information System (GIS)-based network analysis method has been adopted to find the possibility of transporting the injured anywhere on the circuit of a national highway to the nearest healthcare unit within 30 minutes. …”
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geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. by Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

“…Convolutional neural network (CNN)-based deep learning (DL) methods have transformed the analysis of geospatial, Earth observation, and geophysical data due to their ability to model spatial context information at multiple scales. …”
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ReLTER: An R interface for environmental observation in long term ecological research by Alessandro Oggioni, Micha Silver, Paolo Tagliolato, Arnon Karnieli

“…Furthermore, DEIMS-SDR is currently used as a site catalogue by European environmental research projects, and has the potential to develop as the a reference for the EU ecological site registry.The ReLTER package, written in the R language, is based on several auxiliary packages that enrich the data collected within the Long-Term Ecological Research (eLTER) network with data from other repositories. …”
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CASNET2: evaluation of an electronic safety netting cancer toolkit for the primary care electronic health record: protocol for a pragmatic stepped-wedge RCT by Clare Bankhead, Rafael Perera, Simon de Lusignan, Ivelina Yonova, Susannah Fleming, Richard Hobbs, Brian D Nicholson, Yasemin Hirst, Afsana Bhuiya, Julian Sherlock

“…We will evaluate the effectiveness of this toolkit, which is embedded in a major primary care clinical system in England:Egerton Medical Information System(EMIS)-Web.Methods and analysis We will conduct a stepped-wedge cluster RCT in 60 general practices within the RCGP Research and Surveillance Centre (RSC) network. …”
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A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain by Sajal Halder, Md Rafiqul Islam, Quazi Mamun, Arash Mahboubi, Patrick Walsh, Md Zahidul Islam

“…This study provides a comprehensive analysis of AI-enabled secure SIIoT applications in the agri-food supply chain, addressing key security concerns and efficiency bottlenecks. …”
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Research and verification of 5G coverage performance in key areas of underground coal mines by SUO Zhiwen, WANG Yakun

“…Current research on mining 5G networks mainly focuses on system architecture and upper-layer applications, while studies on the underlying technical characteristics of mining 5G in underground environments remain limited. …”
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Deep-learning based morphological segmentation of canine diffuse large B-cell lymphoma by Kenneth Ancheta, Androniki Psifidi, Andrew D. Yale, Sophie Le Calvez, Jonathan Williams

“…Advances in molecular and computational approaches have opened new avenues for morphological analysis. This study explores the use of convolutional neural networks (CNNs) to differentiate cDLBCL from non-neoplastic lymph nodes, specifically reactive lymphoid hyperplasia (RLH). …”
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Coming in hot: a qualitative investigation into perceptions of parents and doctors of reasons for the presentation of children with fever to the emergency department in England by Bernie Carter, Enitan D Carrol, David Taylor-Robinson, Paul Moran, Courtney Franklin

“…Little evidence exists on the pathways to ED for fever, and doctors’ perceptions of why parents present their child to the ED.Objectives To understand perceptions of parents and doctors of the reasons for ED presentation for children (0–18 years) with fever in England.Design This forms the first part of a qualitative study, using reflective thematic analysis.Participants 15 parents (12 mothers and 3 fathers) who had taken their febrile child to hospital (2015–2023), and 5 ED doctors (4 consultants and 1 resident doctor) who had experienced treating a febrile child in an ED in England.Methods Semistructured remote (Zoom) interviews were conducted (2022–2023).Results Reflexive thematic analysis facilitated investigation into current parental concerns regarding fever and decision-making leading to ED attendance. …”
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La realidad de mujeres transexuales y sus movimientos sociales en Sudamérica en tiempos de COVID-19 by Alessandra Mawu Defendi Oliveira

“…Abstract This article aims to take a brief overview —along with a reflective and critical analysis— through the different solidary networks of transgender people that have been structured in South America in dialogue with Latin America and the Caribbean, where they are currently involved in the dynamics imposed by the COVID-19 pandemic. …”
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From Indoor to Daylight Electroluminescence Imaging for PV Module Diagnostics: A Comprehensive Review of Techniques, Challenges, and AI-Driven Advancements by Rodrigo del Prado Santamaría, Mahmoud Dhimish, Gisele Alves dos Reis Benatto, Thøger Kari, Peter B. Poulsen, Sergiu V. Spataru

“…It examines key challenges, including ambient light interference and environmental variability, and highlights innovations such as infrared-sensitive indium gallium arsenide (InGaAs) cameras, optical filtering, and periodic current modulation to enhance defect detection. The review also explores the role of artificial intelligence (AI)-driven methodologies, including deep learning and generative adversarial networks (GANs), in automating defect classification and performance assessment. …”
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Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions by John Adeoye, Yuxiong Su

“…Machine learning classifiers using structured (tabular) data have been employed to predict malignant transformation in OL and OLD. However, current models require improved discrimination, and their frameworks may limit feature fusion and multimodal risk prediction. …”
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The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study by Mohamed Abdul-Al, George Kumi Kyeremeh, Rami Qahwaji, Nazar T. Ali, Raed A. Abd-Alhameed

“…The survey highlights novel contributions such as using Generative Adversarial Networks (GANs) to generate synthetic disguised faces, Convolutional Neural Networks (CNNs) for feature extractions, and Fuzzy Extractors to integrate biometric verification with cryptographic security. …”
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Integration of drone and machine learning technology for predicting power infrastructure faults efficiently by WT Alshaibani, Ibraheem Shayea, Ramazan Caglar, Tareq Babaqi

“…Power transmission and distribution networks frequently face issues, especially in harsh environments, leading to high maintenance costs and the need for uninterrupted electricity. …”
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Artificial Intelligence-based Rice Variety Classification: A State-of-the-art Review and Future Directions by Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam, Mohammad Shorif Uddin

“…This review provides a focused analysis of the current advancements and challenges in applying computer vision (CV) techniques to rice variety classification. …”
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Integrating Sustainable Development and Disaster Mitigation into Climate Policies to Support Water Security in Africa by Sola Ojo, Solomon Asamoah, Eike Albrecht, Bachar Ibrahim

“…Software and frameworks such as VOSviewer and the Preferred Reporting Items for Systematic Reviews (PRISMA) were employed to analyze publication trends, co-authorship networks, keyword co-occurrence, and themes. The study revealed current research themes such as nature-based solutions for water security, climate-resilient infrastructure and technologies, and practical measures, such as eco-based adaptation and water energy food nexus, as some components of climate policy integration that can enhance water security in Africa. …”
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Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency by Yaling Hew, Duygu Kutuk, Tuba Duzcu, Yagmur Ergun, Murat Basar

“…AI technologies, such as neural networks, deep learning, and machine learning, promise to enhance quality control (QC) and quality assurance (QA) through increased accuracy, consistency, and operational efficiency. …”
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