Mathematical Modeling of Thermal and Deformation Fields in Non-Metallic Heterogeneous Materials During Control by the Thermal Imaging Method by Vladimir Tonkonogyi, Maryna Holofieieva, Yurii Morozov, Volodymyr Yarovyi, Oksana Bieliavska, Isak Karabegović

“…The article aims to mathematically model processes that occur in non-metallic heterogeneous materials when active thermography methods were used for deep study control. …”
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A Combined Approach of Experimental Testing and Inverse FE Modelling for Determining Homogenized Elastic Properties of Membranes and Plates by Christian Iandiorio, Riccardo Serenella, Pietro Salvini

“…While homogeneous materials can be modeled with relative ease, heterogeneous materials such as composites or biological tissues with multiphase compositions pose significant difficulties due to the variability in their internal structures. …”
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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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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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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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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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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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Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications by Thi Bich Ngoc Tran, Van Su Dang

“…To examine the impact of independent variables (such as patch length, patch width, inset slot length, and inset slot width) on the response variables (return loss and resonant frequency), Response Surface Methodology (RSM) combined with Central Composite Design (CCD) was applied. …”
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Experimental Investigation into Waterproofing Performance of Cement Mortar Incorporating Nano Silicon by Nasiru Zakari Muhammad, Muhd Zaimi Abd Majid, Ali Keyvanfar, Arezou Shafaghat, Ronald MCcaffer, Jahangir Mirza, Muhammad Magana Aliyu, Mujittafa Sariyyu

“…Therefore, nano silicon was characterized using Field Emission Scanning Electron Microscope (FESEM), Energy Dispersion Spectroscopy (EDS), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and surface Zeta potential. The Central Composite Design (CCD) tool was adopted to plan the experiment and further used to model the relationship between experimental variables and experimental response. …”
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Alternative graphemics. Aztec writing system as a case study towards an integrated, digitalised model of non-typographic graphemics by Antonio Perri, Luciano Perondi, Daniele Capo, Roberto Arista, Giampiero Dalai

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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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Sustained release biodegradable solid lipid microparticles: Formulation, evaluation and statistical optimization by response surface methodology by Hanif Muhammad, Khan Hafeez Ullah, Afzal Samina, Mahmood Asif, Maheen Safirah, Afzal Khurram, Iqbal Nabila, Andleeb Mehwish, Abbas Nazar

“…For preparing nebivolol loaded solid lipid microparticles (SLMs) by the solvent evaporation microencapsulation process from carnauba wax and glyceryl monostearate, central composite design was used to study the impact of independent variables on yield (Y1), entrapment efficiency (Y2) and drug release (Y3). …”
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Relación de la fuerza, potencia y composición corporal con el rendimiento deportivo en nadadores jóvenes de la Región Metropolitana de Chile (Relationship of strength, power, and... by Carlos Véliz Véliz, Fernando Maureira Cid, Marcela Jaurés Rodríguez

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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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Red, green, and blue model assessment and AQbD approach to HPTLC method for concomitant analysis of metformin, pioglitazone, and teneligliptin by Pintu Prajapati, Pooja Patel, Dhrumi Naik, Anzarul Haque, Shailesh Shah

“…Critical method parameters and response variables were modeled using the response surface modeling approach, which relies on the central composite design. …”
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A 3-dimensional mathematical model of microbial proliferation that generates the characteristic cumulative relative abundance distributions in gut microbiomes. by Lena Takayasu, Wataru Suda, Eiichiro Watanabe, Shinji Fukuda, Kageyasu Takanashi, Hiroshi Ohno, Misako Takayasu, Hideki Takayasu, Masahira Hattori

“…Our model indicated that the CRAD may be determined by the ratio of emerging to pre-existing species during non-uniform spatially competitive proliferation, independent of species composition.…”
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Variation in nuclear genome size in a freshwater snail model system featuring a recent whole-genome duplication by Maurine Neiman, Maria Pichler, Martin Haase, Dunja K. Lamatsch

“…Conspecifics often share—or are assumed to share—nuclear genome characteristics like nucleotide composition and genome size. These fundamental aspects of the nuclear genome can themselves be the object of natural selection. …”
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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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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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