Trait-Based Modeling of Surface Cooling Dynamics in Olive Fruit Using Thermal Imaging and Mixed-Effects Analysis by Eddy Plasquy, José M. Garcia, Maria C. Florido, Anneleen Verhasselt

“…Surface temperature was recorded using infrared thermal imaging, and morphological and compositional traits were quantified. Temperature decay was modeled using Newton’s Law of Cooling, extended with a quadratic time term to capture nonlinear trajse thectories. …”
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Solar Energy Utilization of Radiative Implication of Trihybrid Xue-Modeled Nanofluid Flow for Oblique Stagnation Point Flows by Yasir Mehmood, Areej Asif, Ikram Syed, Waseem Abbasi, Syed Sajid Ullah, Muhammad Shahid Anwar

“…This study uses the Xue model to explore how well a nanofluid transfers heat in a steady oblique stagnation-point flow. …”
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Efficient adsorption of methylene blue (MB) by an eco-friendly chitosan derivative adsorbent: An RSM and ANN modeling study by E. Igberase, I.G. Mkhize

“…The isothermal studies revealed that the experimental data fit the Langmuir model well, with a maximum adsorption capacity of 128.67 mg/g. …”
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Optimized Design and Test of Geometrically Nonlinear Static Aeroelasticity Model for High-Speed High-Aspect-Ratio Wing by Xing Li, Wei Qian, Ling Xiao, Xinyu Ai, Jun Liu

“…In order to ensure the accuracy of the wing shape when the model was deformed greatly, this study employed the structural design scheme of the wing with the skin as the main stiffness component, and the thicknesses of different regions of the skin were used as the design variables for the stiffness optimization design. …”
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Evaluation of water supply function in the Economic Belt of the Northern Slope of the Tianshan Mountains based on the InVEST model by Wei Liu, Hao Tian, Xingang Xu, Guang Yang

“…The Economic Belt of the Northern Slope of the Tianshan Mountains (EBNSTM) is a composite ecosystem with mountains, oases, and desert areas; it also serves as an active area for anthropogenic activities. …”
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An insight into the CO2 solubility in NaCl + ethylene glycol (1:16) deep eutectic solvent: experimental and modeling by Ali Rasoolzadeh, Mehdi Keshtkar, Sona Raeissi, Reza Haghbakhsh

“…Among the tested models, the WS (AARD%=6.66) and MHV1 (AARD%=5.61) provided the most accurate predictions of equilibrium pressures. …”
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Predicting the Tensile Properties of Automotive Steels at Intermediate Strain Rates via Interpretable Ensemble Machine Learning by Houchao Wang, Fengyao Lv, Zhenfei Zhan, Hailong Zhao, Jie Li, Kangte Yang

“…Five machine learning models, including ridge regression, support vector machine regression, gradient boosted regression tree, random forest, and adaptive boosting regression, were developed to predict the yield strength (YS), ultimate tensile strength (UTS), and fracture elongation (FE) of automotive steels at 100/s using the composition, sample size, and quasi-static mechanical properties of automotive steels as input variables. …”
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Prior metabolic surgery attenuates the weight-loss efficacy of liraglutide in patients with mild obesity by Yuqin Ouyang, Yuqin Ouyang, Xinyue Xiang, Xinyue Xiang, Xinyun Hu, Xinyun Hu, Xuehui Chu, Wenjuan Tang, Wenjuan Tang, Wenhuan Feng, Wenhuan Feng, Wenhuan Feng

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Model Evaluation the Effect of Size, Shape and Surface Condition of Apatite Nanocrystals on the Deviation of Ca / P ratio from stoichiometric by S.N. Danilchenko

“…The causes of Са / Р ratio deviation in biological apatites from stoichiometric one were discussed. By the simple model evaluation Са / Р ratio was shown to deviate from stoichiometric one because of small sizes of crystals, and peculiarities in chemical composition of their facets. …”
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A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

“…The VAE model is trained to determine the optimal latent variable dimension and Kullback-Leibler (KL) divergence weight. …”
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Anti-Atherosclerotic Activity of Plumeria Acuminata Leaf Extract Against Triton X-100 Induced Hyperlipidemia Model in Rats by Mounika G S, Rajesh M S

“…This study explains the potential effects of the methanol extract of Plumeria acuminata leaves against atherosclerosis.Methods Nine formulations of mucoadhesive microspheres were created incorporating Carbopol-934P and different ratios of AIFM. A central composite design was employed using Design-Expert software to assess the influence of independent variables concentrations of polymers on the dependent variable mucoadhesive strength. …”
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Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application by Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu

“…The study explores predictive modeling for the release variable in a dataset including 155 samples with over 1500 spectral variables. …”
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Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefr... by Beatriz Ortiz-Navarro, José Losa-Reyna, Veronica Mihaiescu-Ion, Jerónimo Garcia-Romero, Margarita Carrillo de Albornoz-Gil, Alejandro Galán-Mercant

“…The adjusted LeanM RL model showed a good balance between sensitivity (35.7%) and specificity (93.9%; P ConclusionsBody composition variables, particularly WBPhA, LeanM RL, and US, are effective predictors of frailty in older adults. …”
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Modeling the Transport and Deposition of Suspended Solids Under Conditions of Low Water and Surge Phenomena in the Don River Estuary Area by Berdnikov Sergey, Sheverdyaev Igor, Kleshchenkov Alexey, Kulygin Valeriy, Likhtanskaya Nataliya

“…The spatiotemporal variability of the concentration and granulometric composition of suspended sediment depending on hydrological conditions is considered. …”
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Construction of a predictive model for concurrent infection in liver failure patients based on prognostic nutritional index and inflammatory cytokine analysis by Hong Yang, Bin Zhang, Chun Yu, Xiao Zhu

“…Abstract Objective This study aimed to explore the relationship between the Prognostic Nutritional Index (PNI, a composite indicator of albumin and lymphocyte count reflecting nutritional and immune status) and inflammatory cytokines in predicting infections among liver failure patients, and to construct a predictive model based on these indicators. …”
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Transcriptomic analysis of intracellular RNA granules and small extracellular vesicles: Unmasking their overlap in a cell model of Huntington's disease by Deepti Kailash Nabariya, Lisa Maria Knüpfer, Patrick Hartwich, Manuela S. Killian, Florian Centler, Sybille Krauß

“…In this study, we performed a comparative transcriptomic analysis of sEVs and RNA granules in an HD model. RNA granules and sEVs were isolated from an inducible HD cell model. …”
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The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model by Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li, Ji Luo

“…In this study, we integrated the Patch-generating Land Use Simulation (PLUS) model with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) framework to investigate LUCC dynamics and their implications for carbon storage across the Upper Yangtze River Basin (UYRB) between 2000 and 2020. …”
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Using 3D and 4D digital human modeling in extended reality-based rehabilitation: a systematic review by Mengdi Lu, Wim Saeys, Wim Saeys, Maria Maryam, Inva Gjeleshi, Hoda Nazarahari, Steven Truijen, Sofia Scataglini

“…The studies reveal positive impacts on functional (e.g., upper limb function, gait, balance, quality of life), physical (e.g., pain reduction, spasticity, joint range), psychological (e.g., depression, emotional regulation, body image), and general health outcomes (e.g., body composition, metabolic health).ConclusionDespite variability in study parameters, limited evidence suggests that 3D DHM in XR-based rehabilitation may enhance physical and psychological recovery across various pathologies. …”
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Muscle‐specific gene editing improves molecular and phenotypic defects in a mouse model of myotonic dystrophy type 1 by Mariapaola Izzo, Jonathan Battistini, Elisabetta Golini, Christine Voellenkle, Claudia Provenzano, Tiziana Orsini, Georgios Strimpakos, Ferdinando Scavizzi, Marcello Raspa, Denisa Baci, Svetlana Frolova, Spyros Tastsoglou, Germana Zaccagnini, Jose Manuel Garcia‐Manteiga, Genevieve Gourdon, Silvia Mandillo, Beatrice Cardinali, Fabio Martelli, Germana Falcone

“…Importantly, a persistent increase of body weight, improvement of muscle strength and body composition parameters were observed in treated animals. …”
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