A first-of-its-kind two-body statistical shape model of the arthropathic shoulder: enhancing biomechanics and surgical planning by Justin Blackman, Joshua W. Giles

“…Abstract Background Statistical Shape Models are machine learning tools in computational orthopedics that enable the study of anatomical variability and the creation of synthetic models for pathogenetic analysis and surgical planning. …”
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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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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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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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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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Soil property variability in a humid natural Mediterranean environment: La Rioja, Spain Varibilidad de las propiedades del suelo en ambiente mediterráneo húmedo: La Rioja, España V... by Raimundo Jiménez-Ballesta, Victoria Íñigo, Marisol S. Andrades, Juan I. Alonso-Martirena, Álvaro Marín

“…For example, many soil properties are directly used in the modelling of environmental processes such as global climate change. …”
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Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. …”
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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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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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