MAGNETOHYDRODYNAMICS NANOFERRO FLUID FLOWS PASSING THROUGH A MAGNETIC POROUS SPHERE UNDER THERMAL RADIATION EFFECT by Basuki Widodo, Eirene Juwita Ningtyas Pamela, Dieky Adzkiya, Chairul Imron, Tri Rahayuningsih

“…The dimensional mathematical model is further transformed into non-dimensional mathematical model by using non-dimensional variables. The non-dimensional mathematical model is simplified using the similarity equation by utilizing the stream function. …”
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FUNGSI GREEN UNTUK PERSAMAAN DIFUSI-ADVEKSI DENGAN SYARAT BATAS DIRICHLET by Josua Josua, Evi Noviani, Fransiskus Fran

“…Mathematically, diffusion-advection equation can be written as  where  is concentration of material in the fluid, stands for the advection velocity, and  for diffusion coefficient. In this paper, a solution  is sought by using the Green’s function concept. …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…Median age was 56 years (IQR 47.0–67.0). Five variables were included: age, sex, height, weight and BMI. …”
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Optimization Design of the Transmission System of Small-size Shrub Brush Cutter based on MATLAB by Yang Chunmei, Guo Minghui, Ma Yan, Liu Qianjun, Yang Tie

“…By determining the objective function of the transmission system,selecting the independent design variables,determining the constraints,the mathematical model of transmission system is established.The analysis and optimization of the design variables,objective function and the boundary conditions are carried out,the complex method optimization program of MATLAB is written,and by using its powerful ability of optimization design to optimize the transmission system of the brush cutter. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…In addition, the net present value (NPV) serves as the objective function. To optimize the selected input variables, including tubing inside diameter, gas injection rate, and separator pressure, various optimization algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), and a Novel optimization algorithm in a gas-lift study called grey wolf optimization (GWO), were utilized considering the constraint of the limited available gas. …”
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Establishing a novel model to assess exercise capacity in chronic heart failure based on stress echocardiography by Huan Cen, Sinan Chen, Shen Feng, Xiankun Chen, Huiying Zhu, Wei Jiang, Han Zhang, Hongmei Liu, Bo Liu, Weihui Lu, Pengtao Sun

“…The analytical features of all patients in the four phases (rest, warm‐up, peak and recovery phases) of ESE included the following parameters: left ventricular (LV) systolic function, LV systolic function reserve, LV diastolic function, LV diastolic function reserve and right ventricular function. …”
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Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy by Xiaote Zhang, Qiaoyi Xie, Ganggang Wu

“…Current non-invasive screening modalities rely predominantly on acoustic immittance measurements, which demonstrate variable diagnostic performance. Given the urgent need for improved diagnostic methods and extensive characterization of risk factors for OME in AH children, developing diagnostic models represents an efficient strategy to enhance clinical identification accuracy in practice.ObjectiveThis study aims to develop and validate an optimal machine learning (ML)-based prediction model for OME in AH children by comparing multiple algorithmic approaches, integrating clinical indicators with acoustic measurements into a widely applicable diagnostic tool.MethodsA retrospective analysis was conducted on 847 pediatric patients with AH. …”
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Theoretical and technical concept of cemented backfill material for flexible enhanced thermal energy storage in coal underground space by Chao LYU, Wenyu LYU, Qiang SUN, Panshi XIE, Ding LANG, Songtao JI, Jianjun HU

“…The research status of backfill mining is analyzed based on the current coal mining technology and the scientific concept of "cemented backfill material for flexible enhanced thermal energy storage (CBM–FETES)" is proposed by integrating the idea of functional filling. The core of CBM–FETES is to ensure the four essential conditions: the suitability of geological conditions, the feasibility of thermal storage and extraction technologies, high efficiency in heat and mass transfer, and the safety and stability of the operational cycle. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The candidate plans are evaluated using a fitness function that considered objective function for transmission expansion planning problem is composed of two terms. …”
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Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

“…Integrating engineering design, the intelligent guidance law for antitorpedo torpedoes proposed in this article selects the rate of change in the line-of-sight angle as the state variable, designs a reward function based on interception results, and designs a discretized behavior space based on the commonly used proportional guidance coefficient selection range. …”
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The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty by Collin Asheim, Ashok Puri, Helen Song, Brian Armstrong, Sam Navon, Ronald Krueger

“…Using corneal imaging, pachymetry, topography, and corneal white to white measurements, the software dynamically adjusts surgical variables, including trephine size and placement, graft rotation, and curvature matching, without manual calculations. …”
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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…We present a comparative analysis of two hybrid models, Harris Hawks Optimization with Random Forest (HHO-RF) and Sine Cosine Algorithm with Random Forest (SCA-RF), against traditional regression methods and classical models like the Extreme Learning Machine (ELM), General Regression Neural Network (GRNN), and Radial Basis Function (RBF). Using a comprehensive dataset derived from various scientific publications, we focus on key input variables including the fine aggregate, GGBS, fly ash, sodium hydroxide (NaOH) molarity, and others. …”
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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…Various ML techniques are evaluated to classify cognitive performance levels based on input features such as sociodemographic variables, lab results, comorbidities, Body Mass Index (BMI), and functional scales. …”
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行星变速器的模糊可靠性多目标优化设计 by 鲁成瑞, 张进生, 王志

“…An objective function for increasing the transmission efficiency and reliability of the planetary system and trying our best to reduce the weight is set up,through the linear weighted function method,the mathematical model of objective function is established.The weighting factors is determined by using the method of design variables normalization.Based on the fuzzy mathematics theory of reliability constraints and geometric constraint,the optimal design is carried out by using optimization toolbox in Matlab.To ensure the optimal parameter to meet the global optimal solution of objective function,stack calculation of the three local optimal solution are carried out.Through an example show that,by using multi-objective optimization method of fuzzy reliability design,the transfer efficiency and stability of the system are improved,the quality of the planet gear train is also reduced.…”
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A Novel Technique for Transmission of M-Ary Signal through Wireless Fading Channel Using Wavelet Denoising by Md. Zahangir Alam, Charles Chittaranjan Patra, Colin Patra, M. Abdus Sobhan

“…The result of the simulation study reveals that the BER performance can be increased using an appropriate control variable to force the mean of each detail coefficient to zero.…”
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A New Multi-Parametric MRI-Based Scoring System for Degenerative Cervical Myelopathy: The Severity on Imaging Myelopathy Score (SIMS) by Alexis Morgado, Julien Berthiller, Fabien Subtil, Donato Creatura, Gildas Patet, Nathalie André-Obadia, Cédric Yves Barrey

“…<b>Background/Objectives:</b> Degenerative cervical myelopathy (DCM) is the leading cause of functional disabilities of spinal origin in people over 50 years old. …”
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Gross Tonnage-Based Statistical Modeling and Calculation of Shipping Emissions for the Bosphorus Strait by Kaan Ünlügençoğlu

“…These EPA-estimated values served as dependent variables in the modeling process. The modeling framework followed a three-step strategy: (1) outlier detection using Rosner’s test to reduce the influence of outliers on model accuracy, (2) curve fitting with 12 regression models representing four curve types—polynomial (e.g., linear, quadratic), concave/convex (e.g., exponential, logarithmic), sigmoidal (e.g., logistic, Gompertz, Weibull), and spline-based (e.g., cubic spline, natural spline)—to capture diverse functional relationships between GT and emissions, and (3) model comparison using difference performance metrics to ensure a comprehensive assessment of predictive accuracy, consistency, and bias. …”
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IDENTIFICATION OF NOMINAL DYNAMIC CHARACTERISTICS OF AIRCRAFT GAS TEMPERATURE SENSORS by A. F. Sabitov, I. A. Safina

“…The heat transfer coefficient is calculated based on the expected operating conditions of the gas temperature sensors.The result of the study was that the parameters of the hyperbolic function of the nominal variables of the time constants for the dynamic model of the second order gas temperature sensors were found. …”
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Synthesis of evasive maneuver control of unmanned aerial vehicle for terminal restrictions by N. Y. Polovinchuk, S. V. Ivanov, L. I. Kotelnitskaya

“…The FV (flying vehicle) control is organized with maximum efficiency. Herewith, the maneuvering FV trajectory must satisfy the requirements of optimality for some given functions of the phase variables at the final time and the conditions of its path through a specified terminal area space. …”
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rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasets. by Alexander Pate, Rosa Parisi, Evangelos Kontopantelis, Matthew Sperrin

“…Functions are available to extract common variable types (e.g., history of a condition, or time until an event occurs, relative to an index date), and more general functions for database queries, allowing users to define their own variables for extraction. …”
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