Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…Consequently, CatBoost was selected as the optimal model. Additionally, this study analyzed the spatiotemporal distribution characteristics of cloud cover in the Kunlun Mountain region using the MOD11A1 product and assessed the uncertainties introduced by the 8-day average compositing method of the MOD11A2 product. …”
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Enhancement the stability of the titanium/graphite photo-electrode in varying voltages for treatment of textile wastewater using reactive blue 19 as the model contaminant by Mahboobeh Dehvari, Behzad Jamshidi, Bazieva Aliia Mansurovna, Ali Akbar Babaei, Sahand Jorfi

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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study by Nai-Yu Kuo, Hsin-Jung Tsai, Shih-Jen Tsai, Albert C Yang

“…ConclusionsAlthough a composite model using multiple saturation parameters exhibits higher accuracy, optimizing this model by identifying key factors is essential. …”
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Evaluation of Wear Resistance of a Modified Radial Bearing Design Taking into Account Compressibility and Viscosity of the Lubricant by E. A. Bolgova, M. A. Mukutadze, V. M. Prikhodko, I. A. Kolobov

“…This was due to dynamic changes in the surface contact conditions and the effects of external parameters. Optimal applications of antifriction coatings based on hybrid composite materials were determined. …”
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Liposomal ellagic acid enhances the regenerative potential of ADMSC-laden nanofibrous PCL scaffolds in a rat model of spinal cord injury by Arman Abroumand Gholami, Shokoufeh Rahmani, Payam Moharreri, Esmael Amirazodi, Amir Mahdi Molavi, Tahere Mokhtari, Fatemeh Tahmasebi, Amirhossein Rabiei Rad, Hamideh Babaloo

“…The optimal drug concentration was determined by conducting MTT and DPPH assays through three different time points. …”
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Development of the bioinspired multiscale structures for the enhancing impact resistance of the lightweight armor by Xiaojing Qin, Junqiu Zhang, Junyang Ge, Yujiao Li, Xiancun Meng, Yu Chen, Changchao Zhang, Wenda Song, Bo Li, Tao Sun, Qigang Han, Zhiwu Han, Luquan Ren

“…To validate these synergistic mechanisms and design and optimize bio-inspired composite applications, finite element model validation was conducted. …”
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Title not available by García, Israel García, Justo, Jesús, Zurita Van-Dinter, Alejandro, Mantič, Vladislav

“…One of the easiest characteristics that can be modified is the size of the reinforcement, which, according to some models and preliminary evidence, can significantly affect the mechanical properties of the material.The objective of this work is to experimentally evaluate the size effect of reinforcement on the composite strength and to compare it with the predictions by the coupled criterion of finite fracture mechanics (CC-FFM). …”
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Assessment of the relationship of number of sertoli cells with number of germ cells, spermatogenic activity and germ cell apoptosis rates in bullsusing different regression models by YAMINA BELKHIRI, SOUHEYLA BENBIA, RAMZI LAMRAOUI

“…Standard error (SE), coefficient of correlation (r), R-squared (R²), mean squared error (MSE) and root mean squared error (RMSE) statistics were used to identify the optimal model. Statistical analysis revealed that, except for Leydig cell counts, Sertoli cell numbers may predict the overall composition of testicular cells. …”
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Improved performance indicators and institutional setup for more viable compost production from municipal solid waste in Sri Lanka by A. Manipura, P. Drechsel, H.M.L.C. Jayawardhana, R. Shanmugapriya, N.R. Mannapperuma, H.S.I. Jayatilleke

“…However, to address institutional and human capacity challenges an institutional partnership model is also proposed, which could incentivize the implementation and achievements of the KPIs while reducing the pressure on LAs to reach the compost market.…”
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Systematic Analysis for fNIRS Measurement Combining Sensitivity and SNR Based on the Colin27 Brain Template by Yalin Wang, Wei Chen

“…In this paper, a noise model was established, including electronic noise, shot noise and speckle noise. …”
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Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks by Mohamed Massaoudi, Katherine R. Davis

“…This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …”
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Novel TiO2@Mg/Fe-LDH for photocatalysis and adsorption of selenium species from wastewater: RSM & ANN/ML modeling by Ahmed I. Ibrahim, Muhammad S. Vohra

“…The photocatalytic degradation (PCD) study was optimized using RSM, examining the effects of the TiO2:LDH (w/w) ratio, composite dose, and selenocyanate concentration. …”
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Thermal transport and bio-convection transport phenomenon in non-Newtonian couple stress model via OHAM through Darcy-Forchheimer porous medium by Muhammad Sohail, Syed Tehseen Abbas, Muhammad Hussain Ali, Ibrahim Mahariq

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Rheological properties study of high-viscosity asphalt based on direct coal liquefaction residue by Liu Yong, Wang Yong, Ru Yanyan, Li Yandan, Li Yongxiang, Gao Zhong

“…The optimal formula was determined as 6% Styrene-Butadiene Styrene block copolymer (SBS) + 5% DCLR + 3% Dibutyl phthalate (DBP) + 10% rubber powder + 4% aromatics oil + 0.15% stabilizer. …”
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The Design and Development of a Split Type Continuous Adsorption Refrigeration System with Two Adsorbent Beds by Hu Hanying, Fang Xujun, He Wei

“…At the same time, the structure of the cylinder block is optimized from the aspects of strength, sealing and assembly structure. …”
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Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

“…To further analyze the frictional behavior, a deep learning model based on a one-dimensional convolutional neural network was employed to predict COF trends over time, achieving excellent accuracy with R² values of 0.9971 for validation and 0.9968 for testing. …”
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Histological response and blood glucose level in a diabetic animal model after the oral administration of Mucuna pruriens: A systematic review and meta-analysis by Tri Wahyu Pangestiningsih, Dian Meididewi Nuraini, Morsid Andityas, Ariana Ariana

“…This study systematically evaluated the dual impact of orally administered MP extract on histopathological changes and blood glucose levels in diabetic animal models through a systematic review and meta-analysis. …”
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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning by Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

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Analysis of a heterogeneous functionally graded material with a spherical void exposed to time-dependent ramp-type heating according to the TPL heat conduction model by Sami F. Megahid

“…This study makes a significant contribution to the field by integrating the TPL model with functionally graded analysis. This represents a substantial progression in thermoelastic functionally graded analysis, with prospective applications in the design of advanced materials, optimization of thermal management systems, and smart material technologies.…”
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Program Scheduling With Multi-Skill and External Resource Coordination Consideration Using Improved NSGA-II: Case Study by Heng Zhang, Jingbo Zhou, Huaying Ruan, Yixuan Qin

“…Initially, an integer programming model was formulated to minimize the overall project duration and equalize the workload among employees. …”
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