Non-absorbable running suture in coarctation repair in infants: a cross-sectional study by Opas Satdhabudha, Manita Songvasin, Utairat Chaumrattanakul, Charinee Kantasiripitak

“…Aortic arch diameters were assessed using computed tomography angiography (CTA), and z-scores were calculated. …”
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EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms by Zhuohan Wang, Yaoqi Hu, Qingyue Xin, Guanghao Jin, Yazhou Zhao, Weidong Zhou, Guoyang Liu

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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Significance: Nanofluids over a continuously moving thin needle play a crucial role in thermal transport processes in various situations. …”
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Computational Fluid Dynamics–Discrete Element Method Numerical Simulation of Hydrothermal Liquefaction of Sewage Sludge in a Tube Reactor as a Linear Fresnel Solar Collector by Artur Wodołażski

“…This paper discusses the thermal and exergy efficiency analysis of the hydrothermal liquefaction (HTL) process, which converts sewage sludge into biocrude oil in a continuous plug–flow reactor using a linear Fresnel solar collector. …”
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Mass Spectrometric Based Metabolomics of the Saudi Cultivar of Fenugreek (<i>Trigonella foenum-graecum</i> L.): A Combined GC-MS, Antimicrobial and Computational Approach by Nujud A. M. Almuzaini, Abdel Moneim E. Sulieman, Naimah A. Alanazi, Riadh Badraoui, Emad M. Abdallah

“…These findings establish a robust foundation for continued pharmacological research on the Saudi cultivar of <i>T. foenum-graecum</i>, highlighting its potential as a rich source of bioactive compounds with significant medicinal value.…”
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Rheumatoid arthritis in real clinical practice: initiation of therapy with biological agents. Results of the «Computer Terminals of Self-Assessment for Patients with Rheumatic Dise... by V. N. Amirdzhanova, E. Yu. Pogozheva, A. E. Karateev, O. V. Antipova, I. B. Vinogradova, A. Yu. Kazankova, R. G. Mukhina, A. G. Vasilyev, O. B. Nesmeyanova, E. A. Bogdanova, R. R. Samigullina, A. A. Vasilenko, I. B. Bashkova, T. S. Salnikova, I. N. Dashkov, N. E. Nikulenkova, V. Yu. Manokhin, I. P. Afanasyeva, O. N. Anoshenkova, T. V. Plaksina, M. R. Spitsina, L. V. Solodovnikova, A. V. Petrov, O. P. Slyusar, E. V. Papichev, E. V. Ivanova, L. V. Masneva, L. P. Evstigneeva, I. V. Kolotilina, E. N. Otteva, I. A. Cherentsova, I. N. Shchendrygin, S. A. Derevenskikh, I. G. Bannikova, N. K. Delyavskaya, I. N. Danilova, I. M. Marusenko

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Obstacle Avoidance in a Crowd With a Plastic Recurrent Mushroom Body Model by Liying Tao, Zonglin Yang, Gaoming Li, Delong Shang

“…In safety-critical environments, effective obstacle avoidance requires robots to navigate safely while minimizing power consumption to sustain endurance. Continuous memory plays a crucial role in predicting pedestrian intentions, allowing for more accurate and proactive navigation. …”
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Application of edge-cloud collaborative intelligence technologies in power grids by Qing HAN, Kunlun GAO, Ting ZHAO, Jiangqi CHEN, Xinyu YANG, Shusen YANG

“…With the continuous development of the Internet of things on electricity (IoTE) and large-scale deployment of intelligent edge devices, an explosively increasing amount of data are being generated at the network edge.The efficient, fast and secure processing and analysis of the massive edge located data brings great challenges for the traditional cloud computing-based intelligence technologies.Instead, edge-cloud collaborative intelligence (ECCI) technologies can significantly outperform the cloud computing-based intelligence in terms of the network bandwidth saving, delay reduction and privacy protection, and therefore have shown a great potential in boosting the development of power grids.To investigate the application of ECCI in power grids, the concept and research progress of ECCI were firstly introduced.The characteristics and advantages of ECCI were summarized and its applicability in the power grids were discussed.Secondly, the key technologies of ECCI applications for power grids were discussed and the solutions based on ECCI technologies for two typical scenes were proposed respectively.Finally, a brief discussion of future work was given.…”
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Seeing the Unseen: Real-Time Micro-Expression Recognition with Action Units and GPT-Based Reasoning by Gabriela Laura Sălăgean, Monica Leba, Andreea Cristina Ionica

“…To address these challenges, the proposed system integrates advanced computer vision techniques, rule-based classification grounded in the Facial Action Coding System, and artificial intelligence components. …”
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Local AI Governance: Addressing Model Safety and Policy Challenges Posed by Decentralized AI by Bahrad A. Sokhansanj

“…Open-source AI models now run on personal computers and devices, invisible to regulators and stripped of safety constraints. …”
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Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions by Cosmina-Mihaela Rosca, Adrian Stancu

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Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

“…As astronomical surveys continue to produce vast amounts of data, the computational and energy demands for galaxy classification have escalated, necessitating more efficient and sustainable approaches. …”
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Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations by Namrata Jiten Patel, Ashish Jadhav

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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

“…Many IoT applications depend on complex computations performed on server-side infrastructure, necessitating efficient methods to reduce unnecessary data transmission. …”
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Virtual Machine Proactive Fault Tolerance Using Log-Based Anomaly Detection by Pratheek Senevirathne, Samindu Cooray, Jerome Dinal Herath, Dinuni Fernando

“…Virtual Machine (VM) fault tolerance ensures high availability in cloud computing environments. Proactive fault tolerance strategies avert service disruptions by detecting potential failures before they occur and migrating the VMs to healthy hosts. …”
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Cropland suitability assessment evolution and outlooks by Shuai Bai, Yujia Chen, Bowen Fu, Meiqi Wu, Tonghui Yu, Xufeng Cui

“…Cropland suitability assessment methods are more and more diversified, scientific, and objective; among them, the multi-criteria decision-making method is the most widely used. (3) In the context of intelligence, the future of cropland suitability assessment should follow the development guideline of combination, union, and integration and actively guide the attempted exploration of blockchains, quantum computing, and other emerging technologies in the field so as to promote the innovative development of cropland suitability assessment. …”
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Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study by Rhythm Arora, Pooja Prajod, Matteo Lavit Nicora, Matteo Lavit Nicora, Daniele Panzeri, Giovanni Tauro, Giovanni Tauro, Rocco Vertechy, Matteo Malosio, Elisabeth André, Patrick Gebhard

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Endodontic management of internal replacement resorption of two maxillary central incisors with the aid of cone-beam computed tomography as the diagnostic tool: a case report and r... by Fatemeh Eskandari, Safoora Sahebi, Negar Ghorbani Jahandizi, Hossein Mofidi

“…Regardless of the location, root resorption does not regress and continues to cause discomfort or sometimes tooth loss if left untreated. …”
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Unified Model and Survey on Modulation Schemes for Next-Generation Automotive Radar Systems by Moritz Kahlert, Tai Fei, Yuming Wang, Claas Tebruegge, Markus Gardill

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Scrub-and-Learn: Category-Aware Weight Modification for Machine Unlearning by Jiali Wang, Hongxia Bie, Zhao Jing, Yichen Zhi

“…However, existing methods often struggle with high computational costs, such as estimating the inverse Hessian, or require access to the original training data, limiting their practicality. (2) Methods: In this work, we introduce Scrub-and-Learn, which is a category-aware weight modification framework designed to remove class-level knowledge efficiently. …”
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