Structural, electronic, mechanical, optical and magnetic properties of RhNbZ (Z = Li, Si, As) Half-Heusler compounds: a first-principles study by Adem Beriso Bejo, Megersa Wodajo Shura, Kumneger Tadele, Mesfin Asfaw Afrassa, Fekadu Tolessa Maremi

“…Structural, mechanical, electronic, optical and magnetic properties of the cubic RhNbZ (Z = Li, Si, As) half-Heusler compounds is reported using density functional theory (DFT) as implemented in quantum espresso simulation package. …”
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Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models by Jitendra Khatti, Mohammadreza Khanmohammadi, Yewuhalashet Fissha

“…Each RVM model (SRVM) is configured by each linear, polynomial, gaussian, sigmoid, laplacian, and exponential kernel function. Each SRVM model has been optimized by each genetic (GA_SRVM) and particle swarm optimization (PSO_RVM) algorithm. …”
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A new frontier in aortic valve treatment: surgical & echocardiographic evaluation of the Ozaki procedure by Mohamed Ahmed Gabr, Sameh Mostafa Amer, Usama Ali Mohamed Hamza, Mohammed Abdelfattah Sanad

“…Patients maintained improved valve function and clinical status with a stable aortic valve area (2.66 ± 0.45 cm2) and a low mean trans-aortic pressure gradient (5.33 ± 2 mmHg). …”
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Research on Reservoir History Matching Method Based on Real⁃Coded Genetic Algorithm and Connectivity Model by Ainiwaer AILIYAER, Chunli ZHAO, Feng LIU

“…The optimization process in reservoir history matching belongs to the high⁃dimensional system's optimal control problem, and the selection of a suitable optimization algorithm is crucial for achieving a good fitting effect. As gradient⁃based methods face challenges in computing the gradient of the objective function, intelligent optimization algorithms with stochastic properties are widely applied in reservoir optimization processes. …”
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Clinical characteristics of the respiratory and cardiovascular systems in patients with combination of chronic obstructive pulmonary disease and heart failure by I. I. Vyshnyvetskyy, L. S. Kholopov, V. O. Batashova-Halynska

“…Listed changes as well as some of the tendencies that have not reached a certain level of significance, indicate that patients with COPD and concomitant CHF, especially with impaired systolic function, worsens general clinical parameters (breath rate, systolic blood pressure, heart rate, frequency arrhythmias and myocardial ischemia on ECG); laboratory levels of hemoglobin, hematocrit, cholesterol, glomerular filtration rate; spirometric indicators of bronchial obstruction (FEV1, FVC, instant volume expiratory flow rates); echocardiographic indicators suggest the deterioration of the heart geometry (increasing of myocardial mass index, indexes of LV end-systolic and end-diastolic volumes, increased frequency of all variants of LV pathological remodeling detection, RV wall thickness, the ratio of RV/LV) diastolic function impairment (increased frequency of all types diastolic dysfunction detection); development of pulmonary hypertension (increasing of the maximum flow velocity, pressure gradient, and the systolic pressure in the pulmonary artery, the frequency of detection of the absence of a-wave). …”
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Unimodular Multi-Input Multi-Output Waveform and Mismatch Filter Design for Saturated Forward Jamming Suppression by Xuan Fang, Dehua Zhao, Liang Zhang

“…We formulate the problem as unconstrained non-linear optimization and solve it using the conjugate gradient method. Particularly, we introduce fast Fourier transform (FFT) to accelerate the numeric calculation of both the objection function and its gradient. …”
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Enhancing wireless applications through reconfigurable electro-mechanical reflectarray antenna design for beam steering by Behrokh Beiranvand, Rashid Mirzavand

“…Additionally, the REMR structure maintains stability even when powered off in the “defined gradient mode” due to a memory function preserving gradient states. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…EBCNN is designed to effectively regulate backpropagation gradients and minimize gradient discrepancies to optimize BNN performance. …”
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Three of them – Light Gradient Boosting Machine (LightGBM), Support Vector Machine with Radial Basis Function (SVM-RBF), and Neural Network Autoregression (NNAR) – were never before reported for predicting ED patient arrivals. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…Classification is performed using an ensemble of random forest KNN, proximal policy optimization (PPO), and a sparse radial basis function (RBF) kernel to ensure accuracy and interpretability. …”
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Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

“…In this paper, an improved deep deterministic policy gradient (DDPG) algorithm has been proposed for stable automatic navigation of USVs in complex environments. …”
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Peristaltic Transport of a Jeffrey Fluid with Variable Viscosity through a Porous Medium in an Asymmetric Channel by A. Afsar Khan, R. Ellahi, K. Vafai

“…Analytic solutions for stream function, velocity, pressure gradient, and pressure rise are first developed by regular perturbation method, and then the role of pertinent parameters is illustrated graphically.…”
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Effect of Boron Content on Strain-Hardening Exponent in Recycled Steel by Christopher, Senfuka, Paul, Kizito

“…While the elastic zone in the deformation process of materials is mainly represented by a linear function of gradient E, the plastic portion has been characterized by various exponential functions with an exponent n that varies with its chemical composition, the level of work hardening and the material in question among others. …”
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SONOELASTOGRAPHY IN DIAGNOSTICS AND SURGICAL TREATMENT OF PATIENTS WITH RECTOCELE by A. G. Khitar’Yan, R. N. Zavgorodnyaya, K. A. Dul’Erov, D. V. Stagniev, S. A. Kovalev, A. S. Bolotskov

“…There was stated that the major diagnostic criteria of functional insufficiency of pelvic floor were the sonoelastometric study of stiffness of the perineum muscles and tonometric research of gradient of vagina pressure in case of rest and tension. …”
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Uncovering narrative aging: an underlying neural mechanism compensated through spatial constructional ability by Yumeng Li, Junying Zhang, Xin Li, Zhanjun Zhang

“…Moreover, networks enriched by macrostructure included the default mode network and fronto-parietal network, indicating a higher functional gradient compared to the microstructure-enriched dorsal attention network. …”
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The variational theory of fracture: diffuse cohesive energy and elastic-plastic rupture by Riccardo March, Giovanni Lancioni, Gianpietro Del Piero

“…The model predicts different fracture modes, brittle and ductile, depending on the analytical form of the cohesive energy function.…”
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A Smoothing Interval Neural Network by Dakun Yang, Wei Wu

“…Here, by smoothing we mean that, in a neighborhood of the origin, we replace the absolute values of the weights by a smooth function of the weights in the hidden layer and output layer. …”
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Trajectory Optimization of Hypersonic Periodic Cruise Using an Improved PSO Algorithm by Hesong Li, Yi Wang, Shangcheng Xu, Yunfan Zhou, Dan Su

“…Firstly, through theoretical analysis, it is determined that the optimal throttle curve can be parameterized as a switching function. Considering the optimization direction of algorithm, a new penalty function for the constraints of periodic cruise is proposed. …”
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Penyelesaian Persamaan Schrodinger Tidak Bergantung Waktu Dengan Metode Finite Difference by I Gusti Agung Widagda, I Nengah Artawan, Wayan Gede Suharta, I Gde Antha Kasmawan

“…In order to normalize the resulting wave function it is necessary to divide it by square root of the integral of the squared wave function. …”
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Practical Vessel Imaging by Computed Tomography in Live Transgenic Mouse Models for Human Tumors by Gordon L. Kindlmann, David M. Weinstein, Greg M. Jones, Christopher R. Johnson, Mario R. Capecchi, Charles Keller

“…This finding was consistent in visualizations using a one-dimensional transfer function where voxel color and opacity was assigned in proportion to CT value and a two-dimensional transfer function where voxel color and opacity was assigned in proportion to CT value and gradient magnitude. …”
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