Variable thermal conductivity effects on MHD flow of non-Newtonian ternary hybrid nanofluid between rotating disks, A Cattaneo–Christov heat transfer analysis by Hussan Zeb, Kamal Shah, Manar Alqudah, Thabet Abdeljawad

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Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller by Awadh Ba Wazir, Sultan Alghamdi, Abdulraheem Alobaidi, Abdullah Ali Alhussainy, Ahmad H. Milyani

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Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models by Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra

“…This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud.…”
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A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

“…Using the B-spline interpolation function, the number of variables describing the level set function was decreased, enabling the application of evolutionary methods (genetic algorithms) in the topology optimization process. …”
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Approximate power flow solutions‐based forecasting‐aided state estimation for power distribution networks by Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang

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Numerical-based theoretical investigation on the thermal efficiency of viscoplastic fluid suspended with ternary nanoparticles using the finite element approach by M. Nawaz, Abdelatif Salmi, Sayer Obaid Alharbi, A.S. Shflot

“…The study uses a computational method based on the finite element method (FEM) to examine the thermal efficiency of viscoplastic fluids containing ternary, di-, and mono-nanoparticles. …”
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Interpretable Active Learning Identifies Iron‐Doped Carbon Dots With High Photothermal Conversion Efficiency for Antitumor Synergistic Therapy by Tianliang Li, Bin Cao, Yitong Wang, Lixing Lin, Lifei Chen, Tianhao Su, Haicheng Song, Yuze Ren, Longhan Zhang, Yingying Chen, Zhenzhen Li, Lingyan Feng, Tong‐yi Zhang

“…The SHAP‐EV, with an R2 of 0.960 correlated to feature's joint SHAP, is integrated into the AL utility functions to enhance evaluation efficiency during optimization. …”
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A Method of Finding Source Function for Inverse Diffusion Problem with Time-Fractional Derivative by Vildan Gülkaç

“…The inverse problem is with variable coefficients and initial and boundary conditions. …”
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Global Asymptotic Stability of Impulsive CNNs with Proportional Delays and Partially Lipschitz Activation Functions by Xueli Song, Jigen Peng

“…This paper researches global asymptotic stability of impulsive cellular neural networks with proportional delays and partially Lipschitz activation functions. Firstly, by means of the transformation vi(t)=ui(et), the impulsive cellular neural networks with proportional delays are transformed into impulsive cellular neural networks with the variable coefficients and constant delays. …”
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Examining the Impact of Variations in Executive Functions on Students’ Problem-Solving Behaviors by Tongxi Liu

“…Although learning variability is increasingly acknowledged, empirical research exploring the direct relationship between executive functions and problem-solving strategies remains limited. …”
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Functional improvement of natural Saccharomyces cerevisiae yeast strains by cell surface molecular engineering by Sara Granuzzo, Monica Rossetto, Lucio Zennaro, Francesca Righetto, Paolo Antoniali, Raffaele Lopreiato

“…Abstract Background Cellular boundaries of microorganisms can be modified by the expression in the cell wall of specific proteins endowed with relevant properties, improving their functional performance. So far, the surface display (SD) technique had been widely employed in the yeast Saccharomyces cerevisiae, but it was limited to few laboratory strains and never explored in sauvage strains, i.e., isolated from natural environment, which are featured by higher levels of genetic variability, leading to peculiar phenotypic traits of possible advantage in biotechnology. …”
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P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
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Identification and functional analysis of novel precursor genes in cyclic peptide biosynthesis in Pseudostellaria heterophylla by Jiao Xu, Wei Zheng, Xiaohong Ou, Hua He, Changgui Yang, Lanping Guo, Chenghong Xiao, Weike Jiang, Guoping Shu, Tao Zhou

“…The core peptide regions showed high variability, while the leader and follower regions were relatively conserved, with a few nucleotide mutations. …”
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Effective factors on variations of wheat production in climatic regions of Fars province by leyla sharifi, saeed bazgeer, hosain mohmmadi, alireza darbaneh astaneh, mostafa karimi ahmadabad

“…Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.…”
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Research on cooperative control strategy for high efficiency and energy saving in virtually coupled train sets based on two-layer optimization by JIANG Sidun, FENG Jianghua, ZHANG Zhengfang, SHI Ke, LUO Qinyang

“…The upper layer focuses on efficiency optimization, establishing an objective function aimed at facilitating efficient departures and stops, and employing a multi-objective genetic algorithm to generate key information for decision-making. …”
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Effect of interaction between resistance training and fasting on removal of creatinine and glomerular filtration in sedentary women with abdominal obesity by Ameneh Mohammadi, mahmoud Nikseresht, Mahnaz Omidi

“…Pearson correlation coefficient showed that creatinine clearance and glomerular filtration rate had an inverse and significant relation with age, while these variables were directly correlated with body mass index. …”
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Real-Time Estimation Methods for the Frequency Support Function Based on a Virtual Wind Turbine by Bo-Hyun Woo, Ye-Chan Kim, Seung-Ho Song

“…As a result, wind turbines are now required to provide frequency support functions. To enable accurate analysis of the operational characteristics of wind turbines equipped with such control functions, this study proposes a virtual wind turbine model that estimates the operating point of a wind turbine in real-time under the assumption that frequency support functions are not performed. …”
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The Association between Physical Activity and Cognitive Function: Data from the China Health and Nutrition Survey by Qiankun Huang, Jing Zhao, Weiqing Jiang, Wenfeng Wang

“…The association between the variables and the cognitive function score was expressed as β coefficient with 95% confidence intervals (CIs). …”
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Evaluation of a seed drill for barley and vetch sowing as a function of varying seeding ratios by Arzu Yazgi, Tuncay Gunhan, Behcet Kir, Gulcan Demiroglu Topcu, Erdem Aykas

“…The seed flow and distribution uniformity across the rows were determined within laboratory conditions, while other response variables were assessed in the field conditions. Results The coefficient of variation values of flow evenness for barley and vetch were found to be 1.0–5.5% and 0.3–2.1%, respectively. …”
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Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

“…The research on HNFs is on peak and results revealed the efficient heat transfer properties of these liquids which are working as primary agents for industrial use. …”
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