Effects of Pretreatments in Convective Dehydration of Rosehip (Rosa eglanteria) by Alejandra Mabellini, Elizabeth Ohaco, Carlos Alberto Márquez, Antonio De Michelis, Jorge Enrique Lozano

“…The aim of this work was to experimentally determine drying curves for thin layer and bed drying of rosehip fruits, with and without pretreatments, to reduce processing times as a function of drying air operating variables, to propose dehydration kinetics of fruits and to determine its kinetic parameters for further use within drying simulation software. …”
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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

“…Rotational machines under variable speed conditions often confront challenges to diagnose various component faults as an existing problem with less exploration of sound signals in this subject area. …”
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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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Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs by Jérémy Béguin, Sarra Mahfoudhi, Marie Uzel, Antoine Rostang, Catherine Ibish, Aude A. Ferran, Ludovic Pelligand, Anne Hulin, Matthias Kohlhauer

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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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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…Also, when  is used to analyze  data, it takes advantage of the reduced variability within each ranked set, resulting in more precise and reliable regression function estimates. …”
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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

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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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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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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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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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Impact of Cattaneo-Christov heat and surface temperature on viscoelastic non-newtonian micropolar nanofluids: Darcy exponential sheet flow with planktonic microorganisms by Muhammad Waseem, Ihab Omar, Muhammad Jawad, Taoufik Saidani, Qasem M. Al-Mdallal

“…This paper investigates the influence of chemical reactions and variable magnetic field on three dimensional Oldroyd B micropolar nanofluids subjected to exponentially stretching sheet in the presence of motile microbes. …”
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Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems by Israa H. Hasan, Iden H. Al Kanani

“…This paper proposes a novel ranking function technique with variables of type decagonal fuzzy numbers for solving fully fuzzy fractional linear programming (FFFLP) problems. …”
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Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

“…Furthermore, microvoids can emerge as a result of technical issues during the manufacture of functionally graded materials (FGMs), leading to the development of porosities. …”
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Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

“…A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. …”
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

“…Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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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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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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Central Pulse Wave Velocity and Augmentation Index Are Repeatable and Reproducible Measures of Arterial Function by Sophie L. Russell, Mushidur Rahman, Charles J. Steward, Amy E. Harwood, Gordon McGregor, Prithwish Banerjee, Nduka C. Okwose, Djordje G. Jakovljevic

“…Conclusion PWV and Alx demonstrate excellent repeatability and good reproducibility. Considering these variables are noninvasive and easy‐to‐measure, arterial function assessment may have a role in routine clinical practice to facilitate risk stratification in cardiovascular diseases.…”
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