Mechanical Design of a Novel Functionally Graded Lattice Structure for Long Bone Scaffolds by Fabio Distefano, Gabriella Epasto, Mahsa Zojaji, Heidi-Lynn Ploeg

“…A non-linear finite element (FE) model was developed. Three- and four-point bending tests were simulated, and the results were compared with those of a bone surrogate for long bones. …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…This dataset covers a diverse set of streams and rivers with different topographic, morphologic, hydraulic and sedimentological characteristics. 75 percent of each river data were selected for training the models and remaining 25 percent of data were used to validate models. The RBF kernel function was used as core tool of support vector machine for all proposed models. …”
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Listener Acoustic Personalization Challenge - LAP24: Head-Related Transfer Function Upsampling by Aidan O. T. Hogg, Roberto Barumerli, Rapolas Daugintis, Katarina C. Poole, Fabian Brinkmann, Lorenzo Picinali, Michele Geronazzo

“…Head-related transfer functions (HRTFs) often play a crucial role in spatial hearing, immersive audio applications for virtual reality (VR) and augmented reality (AR), and help in improving hearing assistive devices. …”
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CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability by Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

“…Abstract The link between in vitro hERG ion channel inhibition and subsequent in vivo QT interval prolongation, a critical risk factor for the development of arrythmias such as Torsade de Pointes, is so well established that in vitro hERG activity alone is often sufficient to end the development of an otherwise promising drug candidate. …”
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A New Paradigm in AC Drive Control: Data-Driven Control by Learning Through the High-Efficiency Data Set—Generalizations and Applications to a PMSM Drive Control System by Madalin Costin, Ion Bivol

“…Solving the regularization problem is based on building a knowledge database that contains the maximum efficiency points. Knowing a reasonable number of optimal efficiency operation points, an interpolation Radial Base Function (RBF) control was built. …”
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Machining-induced burr distribution along hole contours in unidirectional carbon fibre-reinforced polymer (UD-CFRP) composites by Norbert Geier, Gergely Magyar

“…The main aim of this study is to develop a model to determine the density and distribution functions of risky fibre cutting angles where machining-induced burrs are expected to be formed when hole-machining CFRPs. …”
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Musculoskeletal aspects of respiratory function in cystic fibrosis: a cross-sectional comparative study by Niklas Sinderholm Sposato, Kristofer Bjerså, Marita Gilljam, Louise Lannefors, Monika Fagevik Olsén

“…The CF group also demonstrated a tendency toward reduced function in other measurements, although these were not statistically significant.Conclusion This cross-sectional study revealed that people with CF have reduced thoracic mobility and an increased prevalence of muscular tender points, alongside decreased lung function, compared to healthy controls. …”
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Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis. by Katherine A Koenig, Erik B Beall, Ken E Sakaie, Daniel Ontaneda, Lael Stone, Stephen M Rao, Kunio Nakamura, Stephen E Jones, Mark J Lowe

“…Using data collected at six time points from a 2-year longitudinal study of 20 participants with MS and 9 age- and sex-matched healthy controls, we probe two common symptomatic domains, motor and cognitive function, by measuring structural and functional connectivity in the transcallosal motor pathway and posterior cingulum bundle. …”
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The specifics of adhesion function of endothelium in various clinical variants of primary mitral valve prolapse by A. V. Yagoda, N. N. Gladkikh, L. N. Gladkikh

“…The grade of systemic involvement of connective tissue was 2 (1,5-4,0) points. Controls were 10 healthy persons, matched by age, sex, smoking, body mass index. …”
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Intention Recognition in Physical Human-Robot Interaction Based on Radial Basis Function Neural Network by Zhiguang Liu, Jianhong Hao

“…To obtain training samples, adaptive impedance control method is used to control the robot during the data acquisition process, and then the data matching is executed due to the phase delay of the impedance function. …”
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ShinyGS—a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations by Le Yu, Le Yu, Yifei Dai, Mingjia Zhu, Linjie Guo, Yan Ji, Huan Si, Lirui Cheng, Tao Zhao, Yanjun Zan

“…Here, we present ShinyGS, a stand-alone R Shiny application with a user-friendly interface that allows breeders to perform genomic selection through simple point-and-click actions. This toolkit incorporates 16 methods, including linear models from maximum likelihood and Bayesian framework (BA, BB, BC, BL, and BRR), machine learning models, and a data visualization function. …”
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Physical Property Prediction of High-Temperature Nickel and Iron–Nickel Superalloys Using Direct and Inverse Composition Machine Learning Models by Jaka Fajar Fatriansyah, Dzaky Iman Ajiputro, Agrin Febrian Pradana, Rio Sudwitama Persadanta Kaban, Andreas Federico, Muhammad Anis, Dedi Priadi, Nicolas Gascoin

“…Consequently, material modifications are crucial to ensure that gas turbine components meet their required properties. Machine learning (ML) and deep learning (DL) offer promising solutions for the design of materials with tailored tensile strength, hardness, and melting point properties. …”
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Assessing land degradation in lower gangetic west bengal using GIS-based soft computing and advanced machine learning algorithms by Gopal Chowdhury, Ashis Kumar Saha

“…This study investigates land degradation in lower Gangetic West Bengal, an eastern Indian state, which has received limited attention. Two advanced machine learning models were used: the Multilayer Perceptron Neural Network (MLP-NN) and the Radial Basis Function Neural Network (RBF-NN). …”
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Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods by Quanhui Wu, Yafeng Li, Zhengfu Lin, Baisong Pan, Dawei Gu, Hailin Luo

“…The subsequent problem of thermal error compensation can be effectively solved by a suitable thermal error model, which is crucial for improving the machining accuracy of the actual machining process. …”
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A machine learning-based approach for constructing a 3D apparent geological model using multi-resistivity data by Jordi Mahardika Puntu, Ping-Yu Chang, Haiyina Hasbia Amania, Ding-Jiun Lin, M. Syahdan Akbar Suryantara, Jui-Pin Tsai, Hwa-Lung Yu, Liang-Cheng Chang, Jun-Ru Zeng, Lingerew Nebere Kassie

“…Abstract This study presents a comprehensive approach for constructing a 3D Apparent Geological Model (AGM) by integrating multi-resistivity data using statistical methods, supervised machine learning (SML), and Python-based modeling techniques. …”
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

“…These ML models included random forest and support vector machines (radial basis function kernel) and 10-fold nested cross-validation that separated model training, minimal tuning in inner folds, and model testing in outer folds. …”
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Microcirculatory disturbances – relationship with peripheral vascular reactivity and structure-functional properties of endothelium in systemic sclerosis by U Y Ruzentsova

“…Microcirculatory disturbances – relationship with peripheral vascular reactivity and structure- functional properties of endothelium in systemic sclerosis. …”
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SYNTHESIS OF QUASI BAND LADDER TRANSFORMING HIGH ORDER FILTERS by A. E. Kurochkin

“…The purpose of the work, the results of which are presented in the article, was to develop a computerized mathematical model of the ladder filter to study the features of the synthesis of matching chains of any order on its basis. To achieve this goal, all the synthesis tasks were solved, including the choice of the prototype, frequency transposition, calculation of the poles of the transfer function of the prototype, calculation of the poles of the transfer function of the filter, calculation of the reflection coefficient of the filter, the calculation of the input resistance of the filter, the implementation of the ladder chain by the Cauer method and denormalization of the values of the elements of the ladder chain. …”
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Acute effect of three functional fitness training designs with equalized load on inexperienced and experienced athletes by Alejandro Oliver-López, Adrián García-Valverde, Rafael Sabido

“…The cut point for allocating participant in each group was set at 24 months. …”
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Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines by Alexander V. Lagerev, Igor A. Lagerev

“…The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the throttle-adjustable hydraulic drive of the technological cranes-manipulators. …”
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