Finding Transcription Factor Binding Motifs for Coregulated Genes by Combining Sequence Overrepresentation with Cross-Species Conservation by Hui Jia, Jinming Li

“…Novel computational methods for finding transcription factor binding motifs have long been sought due to tedious work of experimentally identifying them. …”
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Polygraph and audio synchronization applied to apnea event analysis based on non-negative matrix factorization by Francisco David Gonzalez-Martinez, Juan De La Torre-Cruz, Julio Jose Carabias-Orti, Francisco Jesus Canadas-Quesada, Alejandro Antonio Salvador-Navarro, Jose Ranilla, Lyam Lamrini-H. Laarbi

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Exploring the Integration of Generative AI Tools in Software Testing Education: A Case Study on ChatGPT and Copilot for Preparatory Testing Artifacts in Postgraduate Learning by Susmita Haldar, Mary Pierce, Luiz Fernando Capretz

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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach by Basma M. Mohammad El-Basioni

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A Heavy-Haul Railway Corrugation Diagnosis Method Based on WPD-ASTFT and SVM by Binghuan Xiao, Jinzhao Liu, Ziyuan Zhang

“…The training and testing samples are classified using Support Vector Machine (SVM). The adaptive short-time Fourier transform (ASTFT) is incorporated with the Renyi entropy and the particle swarm optimization algorithm, which achieves a better aggregation of the time-frequency distribution and reduces the computation cost. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…This study develops a computational, data-driven model to accurately estimate and predict peak phase viscosity in microemulsion systems at dynamic environments. …”
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Design model of thrust bearing with porous coating on the way surface by Murman A. Mukutadze, Anastasia N. Garmonina, Victor M. Prikhodko

“…The development of the design model of a thrust sliding bearing with a two-layer porous coating on the way surface running on an electrically conductive lubricant is described. The work objectives are the development and computational justification of the possible increase in oil consumption, growth of the bearing capacity, and reduction of the frictional force, due to their design models refinement. …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…The results of the study may be used to support the current trachoma control and elimination program, and to help achieve SDG Goal 3 target 3.3 and Goal 6. …”
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Development of a power model for large wave gear toothing by V. N. Strelnikov, A. I. Voloshin, M. G. Sukov

“…The results obtained are applicable in the mathematical simulation of the planar stress state of teeth with nonlinear profiles. Comparative evaluation of errors introduced by deviations of geometry and dimensions of physical models and mathematical analogues supports the experiment correctness and the validity of the quantitative data obtained. …”
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Glycaemic control in labour with diabetes: GILD, a scoping study by Nia Wyn Jones, Eleanor J Mitchell, Kate F Walker, Susan Ayers, Lucy Bradshaw, Georgina Constantinou, Tasso Gazis, Shalini Ojha, Phoebe Pallotti, Stavros Petrou, Rachel Plachcinski, Michael Rimmer, Liz Schroeder, Jim G Thornton, Natalie Wakefield

“…Conclusions Data from all work packages have been used to determine the most appropriate design for a future trial. …”
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On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition by Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado

“…Results: The findings of this study demonstrate that by assigning relative importance to features and removing redundant or superfluous information, it is possible to enhance the system’s execution by up to 31% while preserving the model’s performance at a comparable level. Conclusions: This work proves the usefulness of TinyML as an approach to properly integrate AI into constrained edge embedded systems to support complex strategies such as the proposed hand gesture recognition for the smart rehabilitation of post-stroke patients.…”
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Calculation of impact characteristics and icing phase transitions of salty droplets by TANG Yuhao, CHAI Delin, YI Xian, GUI Yewei

“…The typical examples are compared and analyzed, and the difference between the calculation results is less than 10%, which verifies that the calculation program has high accuracy and provides strong support for the further development of the numerical calculation of the salty droplets icing.…”
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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…This study underscores the potential of lightweight neural networks in precision agriculture, offering a scalable solution with low power consumption for real-time applications. Future work will focus on extending SoybeanNet to detect and quantify other critical crop features and integrating it with broader agricultural monitoring systems to support sustainable farming and food security.…”
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Inter-brain synchrony in real-world and virtual reality search tasks using EEG hyperscanning by Ashkan F. Hayati, Amit Barde, Ihshan Gumilar, Abdul Momin, Gun Lee, Alex Chatburn, Mark Billinghurst, Mark Billinghurst

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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…NHS England funded the Vanguard initiative (2015–8) to identify and support innovative ways of working with care homes in five areas. …”
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A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks by Benedetta Picano, Dinh Thai Hoang, Diep N. Nguyen

“…Executing the inference of foundation models in a distributed manner presents significant challenges, particularly in optimizing both computing and communication resources. This work introduces a novel deployment scheme for large language model (LLM) layers that jointly considers computation and communication efficiency within an edge network environment to address these issues. …”
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Comparison of Intraosseous and Conventional Dental Anesthesia in Children—A Scoping Review by Anastasia Dermata, Sotiria Davidopoulou, Aristidis Arhakis, Nikolaos Dabarakis, Konstantinos N. Arapostathis, Sotirios Kalfas

“…<b>Conclusions</b>: The selected studies support the assertion that CCIA is a promising technique since it results in less pain perception and is preferred by patients compared to conventional local anesthesia. …”
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Evaluation of fatigue progression during overhead tasks and the effects of exoskeleton assistance by Seemab Zakir, Lorenzo Grazi, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea

“…Upper-limb occupational exoskeletons reduce injuries during overhead work. Previous studies focused on muscle activation with and without exoskeletons, but their impact on shoulder fatigue remains unclear. …”
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Simultaneous text and gesture generation for social robots with small language models by Alessio Galatolo, Alessio Galatolo, Katie Winkle

“…IntroductionAs social robots gain advanced communication capabilities, users increasingly expect coherent verbal and non-verbal behaviours. Recent work has shown that Large Language Models (LLMs) can support autonomous generation of such multimodal behaviours. …”
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Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…This study compares time-domain signal features and wavelet scattering networks, applied by classification algorithms including wide neural networks (WNNs), efficient linear support vector machine (ELSVM), efficient logistic regression (ELR), and kernel naive Bayes (KNB). …”
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