Simulation Model for Hardware-in-the-Loop Tests of the ILR-33 AMBER Rocket Control System by Dawid Cieśliński, Rafał Dziczkaniec, Jan Kierski, Cezary Szczepański, Michał Welcer

“…It permits us to simulate flight dynamics in a 6DOF environment, with consideration of the variable thrust, mass-inertia, and aerodynamics. It reproduces key functionalities of on-board computer and sensors and allows us to reproduce multiple mission scenarios. …”
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Attributes of Internal Audit and Prevention, Detection and Assessment of Fraud in Pakistan by Naveed Khan, Abdul Rafay, Amer Shakeel

“… With it being considered as a value-added activity, the Internal Audit function (IAF) of a firm is one of the most important functions in an organization. …”
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains by Taufik Iqbal Miftaks, Muhammad Azis Muslim, Mochammad Rusli

“…SMC is a type of non-linear control that functions functionally to control variable structures. …”
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Trajectory Planning Based on Screw Theory with Consideration of the Optimal Berth Position for a Space Robot by Yong Wang, Ying Liao, Kejie Gong

“…First, the berth position is transformed into the desired position of the end-effector, and its constraints are described. Joint variables are parameterized using a sinusoidal function combined with a five-order polynomial function. …”
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Effects of Indoor Air Quality on Human Physiological Impact: A Review by Tong Nie, Guofu Zhang, Yinan Sun, Wenhao Wang, Tianai Wang, Haoyan Duan

“…Through an analysis of cardiovascular biomarkers (heart rate variability, blood pressure), respiratory parameters, and neurological indicators (electroencephalogram patterns), we identify the mechanisms linking air quality degradation to impaired physiological functioning. …”
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The agricultural plastic paradox: Feeding more, harming more? by Kai Wang, Xuejun Liu, David R. Chadwick, Changrong Yan, Michaela Reay, Tida Ge, Fan Ding, Jingkuan Wang, Ruimin Qi, Mouliang Xiao, Rui Jiang, Yanling Chen, Ji Ma, Charlotte Lloyd, Richard P. Evershed, Yongming Luo, Yongguan Zhu, Fusuo Zhang, Davey L. Jones

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Rethinking energy security in the condition of a rise in public–private partnership in energy: Fresh insights from new estimation by Le Thanh Ha

“…High energy efficiency increases the energy system's resilience by ensuring that systems with restricted funds continue functioning in the event of energy restrictions or global uncertainty.…”
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Statistical Modeling and Kinetic Studies on the Adsorption of Reactive Red 2 by a Low-Cost Adsorbent: Grape Waste-Based Activated Carbon Using Sulfuric Acid Activator-Assisted Ther... by Seyyed Alireza Mousavi, Davood Shahbazi, Arezoo Mahmoudi, Parviz Mohammadi, Tooraj Massahi

“…The efficiency of activated carbon produced from grape waste as a low-cost, nontoxic, and available adsorbent to remove Reactive Red 2 from aqueous solution has been investigated. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In this method, the number of membership functions is 5 functions representing very low, low, medium, high and very high. …”
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Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model by Jiandong Huang, Tianhong Duan, Yi Zhang, Jiandong Liu, Jia Zhang, Yawei Lei

“…The results showed that the hyperparameters of RF can be tuned by the BAS efficiently; the BAS can combine the conventional RF algorithm to construct the evolved model to predict the permeability of pervious concrete; the cement/aggregate ratio was the most significant variable to determine the permeability, followed by the coarse aggregate proportions.…”
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Native learning ability and not age determines the effects of brain stimulation by Pablo Maceira-Elvira, Traian Popa, Anne-Christine Schmid, Andéol Cadic-Melchior, Henning Müller, Roger Schaer, Leonardo G. Cohen, Friedhelm C. Hummel

“…Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and baseline parameters, but results lack generalization to independent cohorts. …”
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Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction by Beichen Ding, Yuting Lu, Chunyan Lai, Weiwen Peng, Kaide Huang, Guodong Feng

“…Specifically, the offsets to the base model are modeled using nonlinear functions with variable coefficients to compensate saturation and core loss effect, which can achieve better accuracy without changing the model structure. …”
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SCIENTIFIC APPROACH TO A COMPLEX ASSESSMENT OF DETERMINANTS OF THE INSURANCE MARKET DEVELOPMENT OF UKRAINE by L. V. Popova, N. O. Kovalchuk, D. D. Polagnyn

“…The developed model contains a clear list and sequence of stages of the insurance market analysis and a specific methodology for assessing the impact of key factors, characteristic for changing conditions of management, on the efficiency of its functioning. Practical application allows to take into consideration the influence of individual determinants of the insurance market development on its condition, to increase the efficiency of managerial decisions in this area. …”
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Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams by Nenad Stefanovic, Vladimir Mladenovic, Borisa Jovanovic, Ron Dabora, Asutosh Kar

“…This work presents a new symbolic framework approach for simulating signal processing functions in SDR transmit–receive paths in a dynamic NOMA downlink use case. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…The method is validated on two synthetic test functions, and the effects of the noise level, the number of environmental parameters, the parameter fluctuation, the variability of the uncontrollable parameters, and the effective domain size are investigated. …”
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Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…Based on this insight, the CRESO is formulated to estimate both state variables and total internal/external disturbances. …”
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Dual-Stream Enhanced Deep Network for Transmission Near-Infrared Dorsal Hand Vein Age Estimation with Attention Mechanisms by Zhenghua Shu, Zhihua Xie, Xiaowei Zou

“…Simultaneously, another deep residual network is leveraged to strengthen the representation ability on subtle dorsal vein textures. Moreover, variable activation functions and pooling layers are integrated into the respective streams to enhance the nonlinearity modeling of the dual-stream model. …”
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A computationally lightweight model for ensemble forecasting of environmental hazards: General TAMSAT-ALERT v1.2.1 by E. Black, E. Black, J. Ellis, R. I. Maidment, R. I. Maidment, R. I. Maidment

“…The model presented here, General TAMSAT-ALERT, represents a significant scientific and functional advance on previous implementations. Notably, General TAMSAT-ALERT is applicable to any variable for which time series data are available. …”
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Causal relationships of vegetation productivity with root zone water availability and atmospheric dryness at the catchment scale by G. W. Abeshu, H.-Y. Li, M. Shi, L. R. Leung

“…These findings underscore the need for a comprehensive functional framework that integrates catchment water supply, atmospheric demand, and vegetation productivity to enhance our understanding and predictive capabilities with regard to ecosystem responses to climate change.…”
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An enhanced buck-boost converter for photovoltaic diagnosis application: Accurate MPP tracker and I-V tracer by Yassine Chouay, Mohammed Ouassaid

“…In normal operation, the converter is controlled by neural network (NN) controller to efficiently extract maximum power point (MPP). However, in the event of a system failure, the converter automatically transitions to variable load mode to capture different points on the current-voltage (I-V) curve. …”
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