Hand Dynamics in Healthy Individuals and Spinal Cord Injury Patients During Real and Virtual Box and Block Test by Verónica Gracia-Ibáñez, Ana de los Reyes-Guzmán, Margarita Vergara, Néstor J. Jarque-Bou, Joaquín-Luis Sancho-Bru

“…Virtual reality (VR) is a promising tool in spinal cord injury (SCI) rehabilitation, particularly through virtual adaptations of functional tests like the Box and Block test (BBT). …”
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Outcomes of intravitreal dexamethasone implant (Ozurdex®) in patients with post-surgical macular edema – a real-world scenario by Elder Ohara de Oliveira Júnior, Isabel Ahn, Rodrigo Antonio Brant Fernandes, Arthur Gustavo Fernandes

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Estimation of Parameters and Reliability Based on Unified Hybrid Censoring Schemes with an Application to COVID-19 Mortality Datasets by Mustafa M. Hasaballah, Mahmoud M. Abdelwahab, Khamis A. Al-Karawi

“…This article presents maximum likelihood and Bayesian estimates for the parameters, reliability function, and hazard function of the Gumbel Type-II distribution using a unified hybrid censored sample. …”
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Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The input and output data of the SNM are a small sample of full wavefield data and the weights of a polynomial function, respectively. A linear weighted sum method is employed to represent the SNM outputs (weights), the full wavefield data, and field parameters as a polynomial function of the primaries, which is matched with adaptive subtraction label data. …”
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Virtual sensing-enabled digital twin framework for real-time monitoring of nuclear systems leveraging deep neural operators by Raisa Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab Abueidda, Syed Bahauddin Alam

“…These characteristics enable DeepONet to function as a real-time virtual sensor, synchronizing with the physical system to track degradation conditions and provide insights within the digital twin framework for nuclear systems.…”
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Atherosclerotic renal artery stenosis, mediating biomarkers, and risk of cardiac among individuals with hypertension: A real-world study by Yanwei Li, Zhulu Chen, Rui Lan, Tao Ran, Jingyi He, Jialian Li, Qiuyue Shi, Min Mao, Zhong Zuo

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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Experimental results demonstrate that RDM-YOLO achieves 99% mAP@0.5 accuracy and 150 FPS inference speed on the datasets, significantly outperforming baseline YOLOv5s while reducing the model parameters by 24%. Specifically designed for deployment on resource-constrained devices, the model ensures real-time monitoring capabilities in practical sericulture environments.…”
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ANALISIS OF THE INFLUENCE OF THE MAIN PARAMETERS AND CONDITION OF WORK OF AIRCRAFT CESN ON THE EFFICENCY OF THEIR USE METHODS OF MATHEMATICAL MODELING by V. I. Troitsky

“…The experiments were carried out with the fields of the underlying surface of three types-with an artificially synthesized map (CLAIM) containing several objects of different thermal contrast; with a homogeneous random field (OSP), with fragments of a digital map object structure (TSKOS) of real surface area of the earth. As a result of numerical experiments the author studied the influence on exactness characteristics of CESN navigation parameters (bank angles, pitch, yaw), flight altitude and speed, the noise of the radiometer, the pattern width, the width of the review sector, mis-scaling and angular misalignment of the current and reference images. …”
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Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…Applied to a large-scale real-world case study of a food and cosmetic industry in Germany, the proposed BO–IPOPT method outperformed state-of-the-art solvers in both solution quality and robustness, achieving up to 97.25%-better objective function values at the same CPU time. …”
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Evolution of shrinkage, real density, porosity, heat and mass transfer coefficients during indirect solar drying of cocoa beans by Blaise Kamenan Koua, Paul Magloire Ekoun Koffi, Prosper Gbaha

“…Drying is a main process of conservation used for cocoa beans and it is so essential to control its drying parameters. In this study, shrinkage, density, porosity, and heat and mass transfer coefficients of cocoa beans during indirect solar drying were investigated. …”
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Virtual Commissioning with TIA Step7 and Simulink without S-Functions by Dusan Horvath, Martin Klauco, Maximilian Stremy

“…To demonstrate the library’s capabilities, we have chosen the validation parameters and conducted functional experiments including real-time communication at the millisecond level, integration and control of a simulated industrial process, and simultaneous operation with multiple virtual controllers. …”
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YOLO-PWSL-Enhanced Robotic Fish: An Integrated Object Detection System for Underwater Monitoring by Lingrui Lei, Ying Tang, Weidong Zhang, Quan Tang, Haichi Hao

“…It is equipped with various types of sensors and wireless transmission equipment, which enables managers to monitor water parameters in real time. It is also equipped with YOLO-PWSL, an improved underwater fish identification model based on YOLOv5s. …”
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Pathway to Remission in Severe Asthma: Clinical Effectiveness and Key Predictors of Success with Benralizumab Therapy: A Real-Life Study by Piotr Damiański, Adam Jerzy Białas, Marta Kołacińska-Flont, Anna Elgalal, Katarzyna Jarmakowska, Dorota Kierszniewska, Michał Panek, Grzegorz Kardas, Piotr Kuna, Maciej Kupczyk

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Path Planning with Obstacle Avoidance Based on Normalized R-Functions by Songqiao Tao, Juan Tan

“…Rigorous mathematical analysis might be a practical way for dealing with the above-mentioned problems. An R-function is a real-valued function whose properties are fully determined by corresponding attributes of their parameters, which is usually applied to express a geometrical object. …”
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A Differential Coupled-Line-Based Active Microwave Sensor System for Retrieving Real Permittivity of Binary Aqueous Solution by Lina Shang, Guang Chen, Wen-Jing Wu, Wen-Sheng Zhao

“…The phase of reflection coefficient of coupled-line is utilized to extract real permittivity of liquid sample, and in order to realize the maximum sensitivity of coupled-line sensor, it is necessary to obtain the optimal condition for achieving the maximum phase-variation rate with respect to real permittivity. …”
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Modern ECG-based systems for cardiovascular functioning express-evaluation by M. D. Podolsky, A. A. Strokov, V. I. Kuznetsov, V. V. Shapovalov

“…Conceptually, the new approach is presented for autonomous ECG processing onboard of the device with light indication real-time of the main cardiovascular functioning parameters, similar to traffic light indication. …”
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A New Two-Parameter Burr-Hatke Distribution: Properties and Bayesian and Non-Bayesian Inference with Applications by Ahmed Z. Afify, Hassan M. Aljohani, Abdulaziz S. Alghamdi, Ahmed M. Gemeay, Abdullah M. Sarg

“…Ten estimation methods, including classical and Bayesian techniques, are discussed to estimate the model parameters. The Bayes estimators for the unknown parameters, based on the squared error, general entropy, and linear exponential loss functions, are provided. …”
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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“…The study focuses on reliability analysis and investigates the probability functions of the distribution to create a theoretical framework for parameter estimation by Using R programming language for in-depth analysis. …”
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A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

“…An identification model of the DC-link capacitor is established based on the equivalent circuit of DC-link capacitor, and voltage and current signals in the pre-charging process are used to estimate parameter. In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. …”
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Analysis of operability parameter changes in neoadjuvant treatment with chemotherapy and anti-PD-1/PD-L1 by M Sereno, A Collazo-Lorduy, Y Garitaonaindia, D Gómez de Antonio, J Baena Espinar, C Aguado de la Rosa, P Cruz Castellanos, S Falagán Martínez, LE Chara Valverde, R López-Castro, A López-Martin, J Rubio-Pérez, A Gómez Rueda, C Traseira Puchol, X Mielgo Rubio, B Losada Vila, J Rogado, E Bernal Hertfelder, L Gutiérrez Sainz, JL Campo-Cañaveral, I Romano, I. Thuissard, G Rubio Romero, E Casado Sáenz

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