Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability by Deyan Liu, Yuge Tian, Min Liu, Shangjian Yang

“…Methods This study, based on data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), focuses on older adults with functional disability as the target population. LASSO regression, combined with univariable and multivariable logistic regression, was employed to select feature variables for predictive modeling. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Efficient Radio-Frequency (RF) stealth is crucial for Dual-Function Radar-Communication (DFRC) systems that detect radar stealth and con vert communication transmission. …”
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Government Subsidies and Industrial Productivity in South Africa: A Focus on the Channels by Brian Tavonga Mazorodze

“…Estimation is performed through an endogeneity robust panel stochastic frontier model, which treats subsidies as both an inefficiency driver and a technology variable. An additional estimation approach is proposed integrating the true fixed effects with a control function in a bid to account for both unobserved heterogeneity and idiosyncratic endogeneity. …”
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Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization by Diunay Zuliani Mantegazini, Andreas Nascimento, Mauro Hugo Mathias, Oldrich Joel Romero Guzman, Matthias Reich

“…The results show that the RSM method and multi-objective optimization provide better results when compared with 2D analysis of parameters as a function of depth. The RSM method can be used as a tool to analyze the effects of the independent drilling mechanical parameters (WOB, RPM, FLOW, and TOR) on the response variables (ROP and MSE) with a 95% confidence level. …”
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Video tracking-based mandibular movement kinematic analysis in patients with nasopharyngeal carcinoma by Chen Yang, Zhenhai Wei, Fei Zhao, Yangshiyu Zhou, Linfei Wu, Xiaomei Wei

“…Linear regression analysis showed that Average Chewing Speed negatively affects masticatory efficiency. Conclusion The Nswallow 2D motion capture software represents an easy-to-use and affordable system that can be utilized to assess masticatory function in patients with NPC. …”
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OPTIMIZATION OF INCOME OF THE PERSONNEL OF THE ENTERPRISES OF THE FOOD INDUSTRY by G.M. Tarasiuk, T.P. Ostapchuk, T.V. Musiiets, Ya.M. Laguta, S.Yu. Biriuchenko

“…The purpose of the article is to make recommendations and proposals for optimizing the formation of the components of the total income of the personnel of the enterprise with the help of the target function, focused on maximizing the income of the business entity. …”
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A Modified Kalman Filter Based on Radial Basis Function Neural Networks for the Improvement of Numerical Weather Prediction Models by Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis

“…This study introduces a novel enhancement to the Kalman filter algorithm by integrating it with Radial Basis Function neural networks to improve numerical weather prediction models. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The proposed method's novelty lies in its linear approximation of the SmoothReLU activation function using binary variables, which allowed us to reduce the stability problem to an optimization problem using the mixed integer programming method. …”
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A perfect islet: reviewing recent protocol developments and proposing strategies for stem cell derived functional pancreatic islets by Sujitha Sali, Leen Azzam, Taraf Jaro, Ahmed Ali Gebril Ali, Ali Mardini, Omar Al-Dajani, Shahryar Khattak, Alexandra E. Butler, Juberiya M. Azeez, Manjula Nandakumar

“…Nevertheless, challenges remain in generating fully functional and mature β cells from hPSCs. This review underscores the significant efforts made by researchers to optimize various differentiation protocols aimed at enhancing the efficiency and quality of hPSC-derived pancreatic islets and proposes methods for their improvement. …”
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ANALYSIS OF THE FUNCTIONING OF A COMBINED ACTIVE FILTER OF A SEQUENTIAL TYPE WITH SELECTIVE LINKS FOR DIRECT CURRENT TRACTION SUBSTATION by Ya. V. Shcherbak, Yu. A. Semenenko

“…The first one generates a signal for compensation of the variable component in a wide range of frequencies. …”
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Association between creatinine clearance and mortality in Chinese patients with osteoporotic fractures: a retrospective cohort study by Ming Su, Ming Su, Peng Zhou, Peng Zhou, Min-zhe Xu, Min-zhe Xu, Ya-qin Gong, Ya-qin Gong, Jian Jin, Wen-bin Hu, Ke Lu, Ke Lu, Chong Li, Chong Li, Yi Yin, Yi Yin

“…BackgroundCreatinine clearance (CCR) is a vital biomarker for evaluating renal function, indicating the efficiency of the kidneys in filtering blood waste. …”
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Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance by Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik

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Finding order in measuring disorders: Measurement Uncertainty of Thyroid Function Tests at a tertiary care hospital in Eastern India by Asis Bhattacharya, Kasturi Mukherjee, Arkajit Dasgupta, Debi Mallick, Mousumi Mukhopadhyay

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Simplified Model Characterization and Control of an Unmanned Surface Vehicle by Aldo Lovo-Ayala, Roosvel Soto-Diaz, Carlos Andres Gutierrez-Martinez, Jose Fernando Jimenez-Vargas, Javier Jiménez-Cabas, Jose Escorcía-Gutierrez

“…Two models were built, one based on a transfer function matrix and another based on state variables, and from these models, two control strategies were developed. …”
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Obstacle Avoidance of Surface Agent Formation Based on Streamline Traction at Fixed-Time by Yiping Liu, Yameng Niu, Jianqiang Zhang, Weihao Tao

“…The marine environment is highly complex and variable, featuring obstacles such as islands, buoys, and vessels. …”
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Efficient cooling capability in microchannel heat sink reinforced with Y-shaped fins: Based on artificial neural network, genetic algorithm, Pareto front, and numerical simulation by Xiang Ma, Ali Basem, Pradeep Kumar Singh, Rebwar Nasir Dara, Ahmad Almadhor, Amira K. Hajri, Raymond Ghandour, Barno Abdullaeva, H. Elhosiny Ali, Samah G. Babiker

“…Microchannel heat sinks play a vital role in modern technology due to the increasing demand for efficient thermal management in compact electronic devices. …”
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Sports Biomechanics Analysis: Assisting Effectiveness Evaluations for Wearable Compliant Elbow Joint Powered Exoskeleton by Huibin Qin, Kai Liu, Zefeng Zhang, Jie Zheng, Zhili Hou, Lina Li, Ruiqin Li

“…Firstly, a powered wearable elbow exoskeleton with variable stiffness is proposed. Through theoretical calculation, the power efficiency formula of exoskeleton is derived. …”
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Evaluating the Functionality of a Field-Based Test Battery for the Identification of Risk for Anterior Cruciate Ligament Injury: An Exploratory Factor Analysis by Charis Tsarbou, Nikolaos I. Liveris, Sofia A. Xergia, George Papageorgiou, Vasileios Sideris, Giannis Giakas, Elias Tsepis

“…(1) Background: A parsimonious test battery is deemed necessary to efficiently assess the functional performance of athletes avoiding redundant measurements. …”
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Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models by Levi Kaster, Ethan Hillis, Inez Y. Oh, Bhooma R. Aravamuthan, Virginia C. Lanzotti, Casey R. Vickstrom, Brain Gene Registry Consortium, Christina A. Gurnett, Philip R. O. Payne, Aditi Gupta

“…Conclusions LLMs are effective at extracting functional biomarkers from EHR data and broadly generalizable across variable note-taking practices and institutions. …”
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Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Sustainable forecasting of home energy demand (SFHED) is crucial for promoting energy efficiency, minimizing environmental impact, and optimizing resource allocation. …”
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