Environmental footprint of GenAI – Changing technological future or planet climate? by Vaclav Moravec, Beata Gavurova, Viliam Kovac

“…The survey was conducted in October 2024 on a sample of 1,268 respondents of the Czech Republic population. To process the data set, a logistic regression analysis, chi-squared test, Akaike information criterion, and Bayesian information criterion are employed. …”
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Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset by Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martinez Madrid

“…Insomnia, the most prevalent sleep disorder, requires more effective diagnosis and screening for proper treatment. Actigraphic data and its combination with physiological sensors like electroencephalogram (EEG), electrocardiogram (ECG), and body temperature have proven significant in predicting insomnia using machine learning methods. …”
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Optimizing mechanical ventilation: Personalizing mechanical power to reduce ICU mortality - a retrospective cohort study. by Ahmed S Alkhalifah, Kenny Rumindo, Edgar Brincat, Florian Blanchard, Johan Helleberg, David Clarke, Benjamin Popoff, Olivier Duranteau, Zubair Umer Mohamed, Abdelrahman Senosy

“…<h4>Methods</h4>A retrospective analysis was conducted using the Amsterdam University Medical Centers Database (AmsterdamUMCdb) data. …”
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Comparative convolutional neural networks for perovskite solar cell PCE predictions by Milan Harth, D. Kishore Kumar, Said Kassou, Kenza El Idrissi, Ritesh Kant Gupta, Yonatan Daniel, Ofry Makdasi, Iris Visoly-Fisher, Alessio Gagliardi

“…Overall, the comparative approach enhances the accuracy and applicability of machine vision in perovskite solar cell analysis.…”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…Convolutional neural networks (CNNs) and their application in animal husbandry have in-depth mathematical expressions, which usually revolve around how well they map input data such as images or video frames of animals to meaningful outputs like health status, behavior class, and identification. …”
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Evaluation of the performance of ERA5, ERA5-Land and MERRA-2 reanalysis to estimate snow depth over a mountainous semi-arid region in Iran by Faezehsadat Majidi, Samaneh Sabetghadam, Maryam Gharaylou, Reza Rezaian

“…A comparison was conducted using SND data from synoptic stations within the study area. …”
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Spatial&#x2013;Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement by Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…First, the AI facial detection module uses the camera on mobile devices as input devices to ensure the flexibility of face recognition data input. The AI Engine layer is built by applying a deep learning-based facial recognition model that was trained using a large dataset of collected employee faces. …”
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Rapid and accurate multi-phenotype imputation for millions of individuals by Lin-Lin Gu, Hong-Shan Wu, Tian-Yi Liu, Yong-Jie Zhang, Jing-Cheng He, Xiao-Lei Liu, Zhi-Yong Wang, Guo-Bo Chen, Dan Jiang, Ming Fang

“…Abstract Deep phenotyping can enhance the power of genetic analysis, including genome-wide association studies (GWAS), but the occurrence of missing phenotypes compromises the potential of such resources. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…This system leverages the Internet of Things (IoT) to collect real-time data from various sensors deployed in forest areas, providing continuous monitoring and early warning capabilities. …”
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Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques by Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh

“…The FAHP is popular for dealing with uncertainty in multi-criteria decision-making, and the ANFIS is popular in learning fuzzy inference system from data based on artificial neural networks. …”
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Knowledge Improved Hybrid DNN&#x2013;KAN Framework for Intrusion Detection in Wireless Sensor Networks by M. Sriraghavendra, Muna Elsadig, Ines Hilali Jaghdam, S. Abdel-Khalek, B. Galeebathullah, Salem Alkhalaf

“…This paper presents a Knowledge-Improved Hybrid Deep Neural Network-Kolmogorov Arnold Network (DNN-KAN) Framework for intrusion detection in WSNs, integrating data-driven learning with domain-specific knowledge to enhance detection performance. …”
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Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening by Lihua Jian, Jiabo Liu, Lihui Chen, Di Zhang, Gemine Vivone, Xichuan Zhou

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Predicting disinfection by-products (DBPs) in supply water within a real water distribution network using an artificial neural network by F. Khan, M.F.R. Zuthi, M.S. Rahman, M.A. Akbor, M.D. Hossain, M.N.I. Bhuiyan

“…Furthermore, the findings indicate that the prediction capability of the model improves as the volume of data increases. Performance analysis revealed that using all nine input parameters together resulted in the most accurate predictions of TTHM concentrations. …”
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Do school Water, Sanitation, and Hygiene facilities affect students' health status, attendance, and educational achievements? A qualitative study in Nepal by Mohan Kumar Sharma, Ramesh Adhikari, Shanti Prasad Khanal, Devaraj Acharya, Edwin vanTeijlingen

“…The data were audio recorded and analyzed thematically using Dedoose 9.0.17 qualitative data management and analysis software. …”
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AI4HealthyCities: a protocol for a mixed-method ethnographic study on the social determinants of cardiovascular health in New York City by Anna-Maria Volkmann, Elizabeth Adamson, Yongkang Zhang, Peter Speyer, Emma Boxley, David Napier, Reekarl Pierre, Wenqin Zhang

“…By combining lived experiences and system-level perspectives, the research will provide contextualised insights to support local stakeholders in designing more effective, equity-oriented interventions.Methods and analysis This mixed-method ethnographic study will collect data in three phases: expert interviews, community roundtables and vulnerability assessments across three New York City boroughs (Brooklyn, the Bronx and Queens). …”
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Barriers to Recruitment and Retention Among Underrepresented Populations in Cancer Clinical Trials: A Qualitative Study of the Perspectives of Clinical Trial Research Coordinating... by Yousafi S, Rangachari P, Holland ML

“…In this study, we examined barriers to the recruitment and retention of underrepresented populations in cancer clinical trials from the perspective of research coordinating staff.Methods: Semi-structured interviews were conducted at a US-based academic cancer center and included 6 patient-facing staff (clinical research coordinators) and 6 non-patient-facing staff (regulatory and financial specialists). Interview data were subjected to thematic analysis. To provide additional organizational context, descriptive data were obtained on the characteristics of clinical trials undertaken at the cancer center.Results: The following themes emerged from the staff interviews: 1) absence of a consistent structure for decision-making and problem-solving related to recruitment and retention, 2) staff shortages, 3) administrative burden, and 4) lack of resources. …”
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Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

“…Identifying reliable biomarkers and understanding the interactions between immune senescence and AS may provide important therapeutic opportunities for AS.MethodsThe RNA sequencing and the single-cell RNA sequencing (scRNA-seq) dataset were downloaded from the Gene Expression Omnibus datasets, with all data derived from human tissues. Subsequently, differential expression analysis, weighted gene co-expression network analysis, accompanied by 3 machine learning algorithms, LASSO, SVM and RF, were performed to identify diagnostic genes. …”
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Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review by Umile Giuseppe Longo, Alberto Lalli, Guido Nicodemi, Matteo Giuseppe Pisani, Alessandro De Sire, Pieter D'Hooghe, Ara Nazarian, Jacob F. Oeding, Balint Zsidai, Kristian Samuelsson

“…Included were studies published between September 2018 and February 2024, which evaluated machine learning (ML) model effectiveness in improving orthopaedic imaging. …”
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Prevención y resolución del conflicto en educación física desde la perspectiva de los adultos miembros de la comunidad educativa en las comunidades de aprendizaje (Prevention and c... by Sara Figueras Comas, Jordi Calvo Lajusticia, Marta Capllonch Bujosa

“…The part of the study referred to in this article aims to analyse the opinions, beliefs and assessments that adult members (teachers, family and volunteers) of Learning Communities expressed on the causes of the conflicts in physical education and the ways to address them.The research has been developed under the perspective of critical communicative methodology; and data collection was carried out in 6 learning communities (3 in Catalonia and 3 in the Basque Country). …”
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