Network relationship between cognitive function and quality of life in community-dwelling older adults: an observational study from Beijing by Yitian Ye, Yichun Zhang, Jiaju Ren, Yanbo Zhu, Yanbo Zhu

“…Network analysis graphs were developed to investigate the interrelationships among variables, identify central nodes, and evaluate stability.ResultsIn the network, the dimensions of social functioning, role-physical, physical functioning, general health, vitality, orientation, and language showed high centrality strength. …”
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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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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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The varied Q creatinine in multi ethnics population and impact of adopting three different estimated glomerular filtration rates based on creatinine in adult populations: a call fo... by Ferdy Royland Marpaung, Santi Wulan Purnami, Shofi Andari, Ali Rohman, Reny I’tishom, Hari Basuki Notobroto, Jusak Nugraha, Risky Vitria Prasetyo, Djoko Santoso, Etienne Cavalier, Aryati Aryati

“…Ultimately, in order to compare the equations, Lin’s correlation coefficients were calculated for various eGFR categories.ResultsThe median creatinine level in the different island population showed variability. …”
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Noninvasive Hemodynamic Assessment by a Sensor Patch by Zak Loring, MD, MHS, Nicholas B. Bolus, PhD, F. Brennan Torstrick, PhD, Danielle Wilson, BS, Melissa Lefevre, BS, Brett D. Atwater, MD, Anita Kelsey, MD, MBA, Jonathan P. Piccini, MD, MHS

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Sleep among Brazilian adolescents before and after the COVID-19 pandemic: repeated cross-sectional and longitudinal analyses by Gabriel Pereira Maciel, Ricardo de Camargo, Marcus Vinicius Veber Lopes, Bruno Nunes de Oliveira, Bruno Galdino Gonçalves da Costa, Jean-Philippe Chaput, Kelly Samara Silva

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Impacts of oral health on life quality metrics: correlations with job function, psychological well-being, self-perception, and dietary behavior by Mohammad Helmi

“…IntroductionThis study evaluates the impact of oral health issues on critical areas of daily functioning, including job performance, psychological well-being, self-rated oral health, and dietary habits.MethodsUtilizing NHANES data, the analysis applies Pearson correlation, multiple regression, and data visualization techniques (scatter plots, heatmaps, and box plots) to quantify associations between oral health variables, such as mouth aching (OHQ620), food avoidance (OHQ660), job difficulty due to mouth issues (OHQ640), and embarrassment (OHQ680).ResultsStrong correlations were found between mouth aching and job difficulty due to mouth issues, with a Pearson correlation coefficient of 0.99, and between difficulty eating (OHQ670) and job difficulty due to mouth issues, with a coefficient of 0.98. …”
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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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Restoration of a functional antiviral immune response to chronic HBV infection by reducing viral antigen load: if not sufficient, is it necessary? by Sisi Yang, Wanjia Zeng, Jiming Zhang, Fengmin Lu, Jinhong Chang, Ju-Tao Guo

“…Although it is clear that removal of antigen stimulation alone is not sufficient to induce the functional recovery of exhausted T and B cells, accumulating evidence suggests that the reduction of viral antigen load appears to facilitate the therapeutic activation of functional antiviral immunity in chronic HBV carriers. …”
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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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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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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. …”
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Task-based functional connectivity in infants after exposure to regular white noise during natural sleep measured by fNIRS by Kanghui Li, Yong Zhang, Zhaohui Wang

“…Different individual infants show different changes in brain functional connectivity after receiving the same stimulus. …”
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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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Stochastic Fracture Analysis Using Scaled Boundary Finite Element Methods Accelerated by Proper Orthogonal Decomposition and Radial Basis Functions by Xiaowei Shen, Haowen Hu, Zhongwang Wang, Xiuyun Chen, Chengbin Du

“…The adoption of POD and RBF significantly reduces the model order and increases computation efficiency, while maintaining the versatility and accuracy of MCs. …”
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Optimal Dynamics Control in Trajectory Tracking of Industrial Robots Based on Adaptive Gaussian Pseudo-Spectral Algorithm by Jing Zhang, Xiaokai Zhu, Te Chen, Guowei Dou

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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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Isokinetic assessment of muscle function according to physical activity level and cardiovascular risk in asymptomatic adults aged 20 to 80 years by V.Z. Dourado, M.B. Nascimento, R.C. Navarro, R.P. da Silva, B.B. Gonze, K.M. Guedes, V.T. Lauria, W.O. Vieira, T.L.V.D.P. Ostolin

“…The models accounted for 49.6-70.9% of the total variability of muscle function, but MVPA and cardiovascular risk slightly influenced the coefficient of determination (additional ΔR2=0.003-0.006). …”
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The Cognitive Correlates of Obsessive-Compulsive Disorder: The Predictive Role of Looming Maladaptive Style, Executive Function, Thought-Action Fusion and Metacognition by Maryam Koosheshi, Rahim Yousefi, Ladan Vaghef

“…Descriptive measures of dispersion were used to characterize the research variables, while Pearson’s correlation coefficient and multiple regression analysis were utilized for inferential statistics.   …”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…In this research, statistical analysis is carried out using GRA with PCA and Quality Loss Function.  The result was the best model based on the Quality Loss Function, because the method has the biggest determination coefficient value is 99,97% where the results is better than GRA with PCA. …”
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