Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

“…Future directions involve expanding the study to a larger, more diverse population and exploring the integration of CGM and smartwatch functionalities into a unified device. Automated eating detecting algorithms can also be used.…”
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Framework for a problem-solving educational program integrating medicine and design disciplines at a Japanese university by Kuriko Kudo, Naoshige Akita, Hiroyuki Matsuguma, Shunta Tomimatsu, Yasuyuki Hirai, Tomohiko Moriyama

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Elucidating linear programs by neural encodings by Florian Peter Busch, Florian Peter Busch, Matej Zečević, Kristian Kersting, Kristian Kersting, Kristian Kersting, Kristian Kersting, Devendra Singh Dhami

“…Linear Programs (LPs) are one of the major building blocks of AI and have championed recent strides in differentiable optimizers for learning systems. While efficient solvers exist for even high-dimensional LPs, explaining their solutions has not received much attention yet, as explainable artificial intelligence (XAI) has mostly focused on deep learning models. …”
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Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances by Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel

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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…This paper presents a new approach to mental functions modeling with the use of artificial neural networks. …”
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Reinstating plasticity and memory in a tauopathy mouse model with an acetyltransferase activator by Snehajyoti Chatterjee, Raphaelle Cassel, Anne Schneider‐Anthony, Karine Merienne, Brigitte Cosquer, Laura Tzeplaeff, Sarmistha Halder Sinha, Manoj Kumar, Piyush Chaturbedy, Muthusamy Eswaramoorthy, Stéphanie Le Gras, Céline Keime, Olivier Bousiges, Patrick Dutar, Petnoi Petsophonsakul, Claire Rampon, Jean‐Christophe Cassel, Luc Buée, David Blum, Tapas K Kundu, Anne‐Laurence Boutillier

“…At the transcriptional level, CSP‐TTK21 re‐established half of the hippocampal transcriptome in learning mice, likely through increased expression of neuronal activity genes and memory enhancers. …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…Abstract Single photon emission computed tomography (SPECT), a technique capable of capturing functional and molecular information, has been widely adopted in theranostics applications across various fields, including cardiology, neurology, and oncology. …”
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Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

“…The research utilizes QTM with NiOA optimization for achieving maximum forecasting performance. NiOA functions through critical optimization processes when enhancing deep learning models with high accuracy for large complex datasets by selecting the most appropriate features. …”
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Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer’s disease diagnosis and biomarker identification by Shan Huang, Yixin Liu, Jingyu Zhang, Yiming Wang

“…Finally, the learned genetic data and fused neuroimaging data are analysed through expression association analysis to identify AD-related biomarkers. …”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

“…This study presents an economically optimal design platform for solar power plants with a fast response time using machine learning techniques. Compared with traditional mathematical optimization, the speed of economic optimization with the help of the machine learning method increased by up to 1100 times. …”
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Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11 by Zeyu Yu, Dongyun Wang, Hanyang Wu

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Mechanisms and optimization for simultaneous removal of Cd(II) and Sb(V) from aqueous solutions using birnessite and fulvic acid composite by Changsheng Jin, Jingjing Lu, Yin Gao, Baowei Hu, Yuxi Liu

“…Microscopic and mechanistic analyses revealed that Cd(II) and Sb(V) interacted with the Mn–O bonds in BS and the oxygen-containing functional groups (C–OH and –COOH) in FA, forming stable complexes within the Cd-Sb coexistence system. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

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Exploring the Impact of Climate Variables and Scenario Simulation on Ecosystem Service Value Profits and Losses in China by Dahai Yu, Chang You

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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…This research introduces an innovative prediction framework that combines signal decomposition with advanced deep learning methods to estimate CA trends. Initially, the framework applies Optimized Variational Mode Decomposition (OVMD) to break down historical CA time series into distinct temporal components known as Intrinsic Mode Functions (IMFs). …”
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Improved MViTv2-T model for insulator defect detection by Fuhong Meng, Guowu Yuan, Hao Zhou, Hao Wu, Yi Ma

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Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations by Daniel Kelshaw, Luca Magri

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A high-throughput framework for pile-up correction in high-speed nanoindentation maps by Edoardo Rossi, Daniele Duranti, Saqib Rashid, Michal Zitek, Rostislav Daniel, Marco Sebastiani

“…By correlating these roughness changes with the Atomic Force Microscopy-measured pile-up height, we derived universal calibration functions for a wide range of bulk materials and thin films, validated through Finite Element Modeling. …”
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ProtAlign-ARG: antibiotic resistance gene characterization integrating protein language models and alignment-based scoring by Shafayat Ahmed, Muhit Islam Emon, Nazifa Ahmed Moumi, Lifu Huang, Dawei Zhou, Peter Vikesland, Amy Pruden, Liqing Zhang

“…We also extended ProtAlign-ARG to predict the functionality and mobility of ARGs, highlighting the model’s robustness in various predictive tasks. …”
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