Laboratory-confirmed respiratory syncytial virus (RSV) hospitalizations: a national all ages cross-section evaluation, 2020–2024 by Aharona Glatman-Freedman, Lea Gur-Arie, Rita Dichtiar, Lital Keinan-Boker, Michal Bromberg, with the Israeli Respiratory Viruses Hospital Laboratory Network (IRVHLN)

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Machine vision-based recognition of safety signs in work environments by Jesús-Ángel Román-Gallego, María-Luisa Pérez-Delgado, Miguel A. Conde, Marcos Luengo Viñuela

“…In this study, convolutional neural networks are employed due to their exceptional efficacy in image recognition. …”
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Anaerobic digestion of a curious VFA complex feed for biomethane production; A study on ANN modeling optimized with genetic algorithm by Armin Rahimieh, Mohsen Nosrati, Seyed Morteza Zamir

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Machine learning-assisted determination of material chemical compositions: a study case on Ni-base superalloy by Sae Dieb, Yoshiaki Toda, Keitaro Sodeyama, Masahiko Demura

“…The determination of chemical compositions of materials plays a paramount role in materials design and discovery. Optimization of such compositions can be a very expensive trial-and-error task, specially when the desired properties are very sensitive to the composition variations. …”
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Reaction Pathway Differentiation Enabled Fingerprinting Signal for Single Nucleotide Variant Detection by Huixiao Yang, Linghao Zhang, Xinmiao Kang, Yunpei Si, Ping Song, Xin Su

“…Abstract Accurate identification of single‐nucleotide variants (SNVs) is paramount for disease diagnosis. Despite the facile design of DNA hybridization probes, their limited specificity poses challenges in clinical applications. …”
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Heart Disease Prediction with Machine Learning-Based Approaches by Zeynep Hilal Kilimci, Ayhan Küçükmanisa

“…Hence, timely detection of cardiac disorders is paramount to preserving lives. However, the analysis of routine clinical data presents a formidable challenge in identifying cardiovascular ailments. …”
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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

“…Over the variants in designing the pile penetrated in rock, the vertical settlement is of paramount importance to know. However, rigorous theoretical descriptions for soil-pile interactions are still ambiguous. …”
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Hypergeometric Functions as Activation Functions: The Particular Case of Bessel-Type Functions by Nelson Vieira, Felipe Freitas, Roberto Figueiredo, Petia Georgieva

“…The choice of the activation functions in neural networks (NN) are of paramount importance in the training process and the performance of NNs. …”
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Consumer Motivation and Multilevel Marketing on Health Products by Ambrose Ogbonna Oloveze, Ogbonnaya Ukeh Oteh, Raphael Valentine Obodoechi Okonkwo, Kelvin Chukwuoyims, Charles Chiatulamiro Ollawa, Paschal Anayochukwu Ugwu

“…An online survey was administered on 227 networkers of MLM in South-East, Nigeria. The data was analyzed using Structural Equation Modeling (SEM) and descriptive statistics. …”
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Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Koki Hirooka, Md. Al Mehedi Hasan, Yoichi Tomioka, Yong Seok Hwang

“…Abstract The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls can lead to severe injuries or even fatalities. …”
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Intelligent Control in 6G Open RAN: Security Risk or Opportunity? by Sanaz Soltani, Ali Amanloo, Mohammad Shojafar, Rahim Tafazolli

“…The article serves as a valuable reference, shedding light on the RIC’s crucial role within the broader network infrastructure and emphasizing security’s paramount importance. …”
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Transfer Learning for Cancer Diagnosis in Medical Images: A Compendious Study by Navreet Kaur, Rahul Hans

“…However, the process of training these neural networks from scratch is often complex and requires significant computational resources. …”
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A two‐stage, four‐layer robust optimisation model for distributed cooperation in multi‐microgrids by Haobo Rong, Jianhui Wang, Honghai Kuang

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Knowledge Sharing in Security-Sensitive Communities by Yonit Rusho, Daphne Ruth Raban, David Simantov, Gilad Ravid

“…Methodology—We use Social Network Analysis (SNA) to analyze data from 18 communities: 7 security-sensitive and 9 non-sensitive. …”
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A method for monitoring junction temperature of IGBT module based on turn-off voltage by LAN Weiyin, CUI Wei, CHEN Wenxuan, ZOU Yingqiao, LI Jiacheng, GE Xinglai

“…The precise junction temperature monitoring is of paramount importance for enhancing the reliability of insulated gate bipolar transistor (IGBT) modules and extending the lifespan of devices. …”
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A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis by Yan Liu, Yonglan Pu, Jie Wang, Zhiyong Li, Songliang Liu, Shenjie Tang

“…Therefore, greater understanding of the occurrence and prevalence of this comorbidity and research to address the prevention and treatment of PTB in patients with T2DM (PTB + T2DM) have become paramount. Weighted gene co-expression network analysis (WGCNA) and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were employed to identify key gene modules and functions related to PTB + T2DM. …”
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Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

“…This study evaluates the efficacy of six artificial learning (AL) models—nonlinear autoregressive (NAR), long short-term memory (LSTM), adaptive neuro-fuzzy inference system (ANFIS), gated recurrent unit (GRU), multilayer perceptron (MLP), and CNN-RNN hybrid networks—for time-series data for failure prediction in aerospace assembly lines. …”
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Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand predictions by Ehtisham Lodhi, Nadia Dahmani, Syed Muhammad Salman Bukhari, Sujan Gyawali, Sanjog Thapa, Lin Qiu, Muhammad Hamza Zafar, Naureen Akhtar

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Enhancing Security and Privacy in 5G Device-to-Device Communication: A Secure Gale-Shapley Algorithm Approach by Musaad Alruwaili, Junghwan Kim, Jared Oluoch

“…Device-to-Device (D2D) communication is pivotal in enhancing the performance of 5G networks by improving spectral efficiency, reducing latency, and supporting applications such as the Internet of Things (IoT). …”
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Clinic and pathophysiology of false sensory perceptions in the scientific views of Viktor Kandinsky by E. V. Snedkov, A. E. Veraksa, P. Y. Muchnik

“…The author believed that the thalamus, specific to each modality and multimodal cell groups of the sensory cortex, centers of abstract (symbolized) representations, and Broca’s center are involved in various configurations in the acts of sensory perception and the origin of the forms of his deceptions; the state of the frontal functions and the nature of the reflection of images of perception in consciousness are of paramount importance.The author illustrated his hypothesis with schemes of differentiated involvement of thalamocortical and transcortical networks. …”
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