Theoretical and Numerical Study for Volterra−Fredholm Fractional Integro-Differential Equations Based on Chebyshev Polynomials of the Third Kind by Zineb Laouar, Nouria Arar, Abdellatif Ben Makhlouf

“…In this paper, we develop an efficient numerical method to approximate the solution of fractional integro-differential equations (FI-DEs) of mixed Volterra−Fredholm type using spectral collocation method with shifted Chebyshev polynomials of the third kind (S-Cheb-3). …”
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A Comprehensive Overview of the Development and Research of Energy Savings of Electric Wheel Loader by Xiaotao Fei, Zuo Cheng, Shaw Voon Wong, Muhammad Amin Azman, Dawei Wang, Xiuxian Zhang, Qiuchen Shao, Qingqiu Lin

“…Electric wheel loaders (EWLs) have emerged as a pivotal innovation in the 2020s, representing a transformative shift toward high-efficiency, low-emission construction machinery. …”
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Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics by Akhil Raja Keshetti, Victor S.P. Ruela, Hao Chen, Marcos R. Machado

“…The scientific landscape has State-of-the-Art optimiser algorithms built using mathematical models to generate ladle logistics schedules. …”
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Cyber-Physical Systems Enabled Transport Networks in Smart Cities: Challenges and Enabling Technologies of the New Mobility Era by Amit Pundir, Sanjeev Singh, Manish Kumar, Anil Bafila, Geetika J. Saxena

“…One of the domains likely to witness paradigm- shift in future smart cities is transport. The development of urban structures, functionality, and prosperity are intricately connected to how the city designs its mobility infrastructure. …”
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Mining industry networks influence the diffusion of innovations in the battery minerals sector by Bernardo Mendonca Severiano, Stephen A Northey, Damien Giurco

“…The shift toward decarbonisation in the transportation sector, primarily through the adoption of electric vehicles (EVs), has significantly increased the demand for battery minerals such as lithium, nickel, and manganese. …”
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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. …”
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Predicting climate change impacts on the distribution of endemic fish Cyprinion muscatense in the Arabian Peninsula by Ali Gholamhosseini, Masoud Yousefi, Hamid Reza Esmaeili

“…This species is expected to be strongly affected by climate change because of its limited distribution range in a montane area surrounded by lowlands and sea, limiting the species in shift to other areas. We used an ensemble approach by considering two regressions‐based species distribution modeling (SDM) algorithms: generalized linear models (GLM), and generalized additive models (GAM) to model the species habitat suitability and predict the impacts of climate change on the species habitat suitability. …”
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Toward Adaptive and Immune-Inspired Viable Supply Chains: A PRISMA Systematic Review of Mathematical Modeling Trends by Andrés Polo, Daniel Morillo-Torres, John Willmer Escobar

“…The results confirm a paradigm shift toward integrative frameworks that combine robustness, adaptability, and Industry 4.0 technologies, as well as a growing interest in biological metaphors applied to resilient system design. …”
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Software-Defined Platform for Global Navigation Satellite System Antenna Array Development and Testing by Diogo Gomes, Diogo Baptista, Hugo Dinis, Paulo M. Mendes, Sérgio Lopes

“…Our experimental results demonstrate that the system can phase shift every channel with errors of less than 0.5° and can reconfigure 4 simultaneous beams of a 16-antenna array at speeds of 1.2 kHz, and 20 beams at around 400 Hz. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…Based on recent studies from Gradus Research, the Digital Global Overview Report, and other sources, the shift in media consumption patterns among the youth audience towards entertainment and visual content is demonstrated. …”
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Influence of patient motion on definition of typical cephalometric reference points in digital horizontally scanning cephalometric radiography by Kim Martin, Christos Katsaros, Robert Brylka, Ulrich Schwanecke, Ralf Schulze

“…Future advancements in this field may include the integration of artificial intelligence or algorithms for the purpose of motion correction.…”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…This demonstrates the concrete benefit of sensor redundancy and DR algorithms for creating robust, fault-tolerant measurement systems.…”
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Leveraging Vision Foundation Model via PConv-Based Fine-Tuning with Automated Prompter for Defect Segmentation by Yifan Jiang, Jinshui Chen, Jiangang Lu

“…Recently, the emergence of foundation models driven by powerful computational resources and large-scale training data has brought about a paradigm shift in deep learning-based image segmentation. …”
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Enhancing Air Quality Forecasting Using Machine Learning Techniques by Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk

“…Representing a paradigm shift in urban living, it aligns individual choices with broader sustainability and air quality goals. …”
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Theory of Virtual Genre Studies: The Problem of Methodology by Tyukaeva Nadezhda

“…Popper’s methodological nominalism, the author proposes a shift from an essentialist paradigm to a functional one, emphasizing the explanatory function of theory over descriptive taxonomy. …”
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Recent technical advancements and clinical applications of MR-guided radiotherapy in lung cancer treatment by Chi Ma, Xiao Wang, Ke Nie, Zhenyu Xiong, Keying Xu, Ning Yue, Yin Zhang

“…MRgRT represents a paradigm shift in precision oncology, delivering personalized care. …”
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Leveraging machine learning techniques to analyze nutritional content in processed foods by K. A. Muthukumar, Soumya Gupta, Doli Saikia

“…Abstract The global shift towards plant-based diets, particularly in India, is driven by environmental and ethical considerations. …”
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An Outlier Detection Approach to Recognize the Sources of a Process Failure within a Multivariate Poisson Process by Chia-Ding Hou, Rung-Hung Su

“…Nevertheless, pinpointing the specific quality attributes that led to the process shifts is complex. The study focuses on the causes that lead to process shifts in multivariate Poisson processes, unlike the majority of studies examining shifts in multivariate normal processes. …”
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Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method by Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG

“…Specifically, the success rate of obstacle avoidance in dynamic environments increased by 35% compared to traditional algorithms and by 10% compared to improved algorithms. …”
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Towards a digital twin: Digitization and model-based optimization of the innovative high-gradient magnetic separatorMendeley Data by Marko Tesanovic, Torben Bardel, Robin Karl, Sonja Berensmeier

“…Furthermore, process efficiency is often not fully realized due to the reliance on fixed operational recipes.This study presents a digital twin framework for a pilot-scale HGMS system, integrating real-time monitoring, automated control, advanced mechanistic models, and multi-objective optimization using Bayesian algorithms. The framework was validated for robustness, scalable data handling, and predictive control. …”
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