Modern information and communication technologies in professional training of sociology students: Evolving needs and significance in the digital age by Liudmila V. Kalashnikova, Alla S. Lobanova, Iryna V. Hrabovets, Liudmila S. Chernous, Viktoria A. Chorna, Yevhen O. Davydenko

“…We conclude that the core component of digital literacy for sociology specialists involves developing algorithmic thinking and the ability to select and implement appropriate technology solutions for various research needs. …”
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Design of a microservices-based architecture for residential energy efficiency monitoring by Ivonne Nuñez, Carlos Rovetto, Edmanuel Cruz, Andrzej Smolarz, Dimas Concepcion, Elia Esther Cano

“…Using a structural methodology centered on pre-existing components and an iterative approach, a versatile and scalable architecture was designed that addresses current challenges in energy efficiency management. …”
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Exploiting universal nonlocal dispersion in optically active materials for spectro-polarimetric computational imaging by Xueji Wang, Todd Van Mechelen, Sathwik Bharadwaj, Md Roknuzzaman, Fanglin Bao, Rajib Rahman, Zubin Jacob

“…Abstract Recent years have seen significant advancements in exploring novel light-matter interactions such as hyperbolic dispersion within natural crystals. However, current studies have predominantly concentrated on local optical response of materials characterized by a dielectric tensor without spatial dispersion. …”
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Computationally Efficient Artifact Suppression for Optical Coherence Tomography Angiography by Wenxin Zhang, Jun Pan, Shiqi Tang, Ning Liu

“…These superficial vessel tails cast shadows on deeper vascular layers, significantly degrading image quality. Current artifact suppression methods often require complex algorithms and extensive computation, limiting their practicality. …”
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Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection by Vinicius Moretti, Everton L. Melo, Joao Carlos Colmenero

“…Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic procedures to guide the process. Given the various issues and complexities that current methods for weighting criteria present; this study aims to develop a new subjective multicriteria method for criteria weighting applied in Green Supplier Selection (GSS). …”
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Machine learning applied to the design and optimization of polymeric materials: A review by Sudarsan M. Pai, Karim A. Shah, Sruthi Sunder, Rodrigo Q. Albuquerque, Christian Brütting, Holger Ruckdäschel

“…Machine learning (ML) offers a promising solution to this issue. By leveraging ML algorithms, researchers can accelerate the design process, predict material properties more rapidly, and optimize formulations. …”
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Event-Triggered Adaptive Synchronous Control of Interconnected Microgrids Under Denial-of-Service Attacks by Xiaodan Li, Lei Zhang, Hongbin Liu, Xiaoyu Yi, Xiaochun Liu, Zichen Yi

“…The proposed protocol ensures bus voltage regulation, current sharing among distributed generation units, and charge balance among distributed energy storage units. …”
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The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education by Chengchen Hu, Fang Li, Shengguo Wang, Zhi Gao, Shan Pan, Maofeng Qing

“…By examining current AI applications and projecting future trends, this review emphasizes the necessity of implementing AI responsibly within dental training. …”
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Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum by Metin Yilmaz, Eyup Cinar, Ahmet Yazici

“…Traditional Battery Management System (BMS) algorithms can be inadequate for State of Charge (SoC) estimation due to incorrect measurements and unobservable battery characteristics. …”
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Applications of quantum computing in clinical care by Stevan C. Fairburn, Stevan C. Fairburn, Lara Jehi, Brenton T. Bicknell, Beckley G. Wilkes, Bharat Panuganti

“…These improvements could enable earlier detection of diseases such as Alzheimer’s, cancer, and osteoarthritis, supporting more timely interventions and better prognoses.DiscussionDespite promising outcomes, current limitations—such as hardware scalability, error mitigation, and ethical considerations—hinder widespread adoption of QC in clinical settings. …”
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A novel stability-indicating chromatographic quantification of the antiparkinsonian drug safinamide in its pharmaceutical formulation employing HPTLC densitometry and ion-pair HPLC... by Engy A. Ibrahim, Samah S. Saad, Maha A. Hegazy, Laila E. Abdel Fattah, Hoda M. Marzouk

“…In addition, the innovative concepts of "blueness" and "whiteness" evaluation were incorporated through the newly introduced BAGI and RGB12 algorithms, respectively.…”
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Optimal Allocation of Gas Supply Reliability in Natural Gas Pipeline System Based on Exterior Penalty Function Method by Yueqi LIU, Lei HOU, Shuaishuai TANG, Huai SU, Xingtao LI

“…Optimal allocation of gas supply reliability is an important part of gas supply reliability of natural gas pipeline system.In order to study the optimal allocation scheme of gas supply reliability with the lowest cost,a cost function model based on the gas supply capacity of the pipeline system was constructed.To address the limitation of traditional intelligent optimization algorithms (e.g.,Particle Swarm Optimization) that overlook constraints during iterative updates,this research proposed a novel Exterior Penalty Function Method for optimizing gas supply reliability.This method transformed constraints in the allocation model into penalty function terms,established a revised objective function,and converted the constrained allocation problem into an unconstrained extremum problem.Applying this method to a practical pipeline system,optimal gas supply reliability allocation values were derived.The results demonstrate that the Exterior Penalty Function Method significantly reduces computational time without compromising accuracy.The allocation outcomes exhibit robust convergence and align with engineering practicality.By clarifying the optimized allocation values of unit gas supply reliability and comparing them with the current reliability,the weak units in the gas supply system can be identified,providing a scientific basis for improving the gas supply reliability of pipeline systems.…”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patino Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“… The decision-making (DM) process in critical environments is a complex process that can be simulated due to current telematic capabilities, which allow the real time interaction of large amounts of data. …”
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Autonomous Driving of Trackless Transport Vehicles: A Case Study in Underground Mines by Yunjie Sun, Linxin Zhang, Junhong Liu, Yonghe Xu, Xiaoquan Li

“…The introduction of autonomous vehicles in underground mine trackless transportation systems can significantly reduce safety risks for personnel in production operations and improve transportation efficiency. Current autonomous mining vehicle technology is characterized by complex algorithms and high deployment costs, which limit its widespread application in underground mines. …”
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Truck Lifting Accident Detection Method Based on Improved PointNet++ for Container Terminals by Yang Shen, Xintai Man, Jiaqi Wang, Yujie Zhang, Chao Mi

“…Experiments confirm that the proposed method achieves superior performance compared to the current mainstream algorithms regarding point cloud segmentation accuracy and stability. …”
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Enhancing sustainability in dairy industry: Blockchain-based waste reduction by Diana Hawashin, Khaled Salah, Raja Jayaraman, Raja Wasim Ahmad, Salil Kanhere, Ernesto Damiani

“…We present the system architecture, sequence diagrams, entity-relationship diagrams, and algorithms to explain the working principles of our solution. …”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

“…The article discusses current research in the field of adaptive sleep management systems that take into account human biorhythms and physiological needs. …”
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CNN-LSTM optimized with SWATS for accurate state-of-charge estimation in lithium-ion batteries considering internal resistance by Zhaowei Zhang, Chen Liu, Tianyu Li, Tian Wang, Yaoyao Cui, Pengcheng Zhao

“…In addition, commonly used network optimization algorithms do not always maximize the convergence speed and performance simultaneously. …”
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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer by WEI Pengyu, GAO Jiale, JI Maotong, TAN Yuanyuan, YAO Hongwei

“…With the rapid advancement of artificial intelligence (AI) technologies (particularly breakthroughs in computer vision and deep learning algorithms), a revolutionary technical foundation has been established for developing objective and precise automated surgical evaluation systems. …”
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Advances in optical biosensors as alternative diagnostics for clinical determination of ESKAPE bacteria by Maargavi Singh, Sreelakshmi C․S․, Chiranjay Mukhopadhyay, Sajan D. George, Pooja Nag, Kapil Sadani

“…In addition, incorporating artificial intelligence and machine learning algorithms in signal processing and feature extraction enhances biosensor performance and accelerates diagnostic accuracy. …”
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