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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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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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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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

“…We developed an intuitive approach to assess individual responses to stimuli, characterized by the sparsity of Pearson correlation coefficients across distinct narrow frequency bands. …”
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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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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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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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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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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

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Synthesis, Characterization, and Investigation the Inhibitory Impact of Thiosemicarbazide Derivative toward the Corrosion of Mild Steel in Acidic Media by Nafeesa J. Kadhim, Muna Sarhan Sando, Farah Saadoon Jaafar, Iman M .M. Hasan

“…The most promising inhibitor action is at 0.5 g/L with an inhibition efficiency of 90.2%. Where it found that the adsorption process of HMHC obeys the Langmuir isotherm model. …”
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Evapotranspiração máxima do pimentão cultivado em estufa plástica em função de variáveis fenométricas e meteorológicas Maximum evapotranspiration of sweet pepper grown in plastic g... by Carina R. Pivetta, Arno B. Heldwein, Ivan C. Maldaner, Sidinei Z. Radons, Ivonete F. Tazzo, Dionéia D. Lucas

“…<br>The objective of this study was to estimate maximum evapotranspiration (ETm) of sweet pepper inside a plastic greenhouse as a function of evaporation measured with "Piche" evaporimeter (Epi) exposed to solar radiation, with and without easily measured meteorological and phenologic variables. …”
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A Method for Determining Intrinsic Mode Function Number in Variational Mode Decomposition and Its Application to Bearing Vibration Signal Processing by Shoujun Wu, Fuzhou Feng, Junzhen Zhu, Chunzhi Wu, Guang Zhang

“…The number (usually denoted by K) of intrinsic mode function (IMF) has a great influence on decomposition results. …”
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Experimental method to predict avalanches based on neural networks by V. V. Zhdanov

“…Observational data on weather and avalanches in the gorge Kishi Almaty in the gorge Kishi Almaty were used as a training sample. Coefficients for the canonical variables were calculated by the software «Statistica» (Russian version 6.0), and then the necessary formula had been constructed. …”
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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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Mitochondrial respiratory chain and Krebs cycle enzyme function in human donor livers subjected to end-ischaemic hypothermic machine perfusion. by Hamid Abudhaise, Jan-Willem Taanman, Peter DeMuylder, Barry Fuller, Brian R Davidson

“…Mitochondria likely respond to variable perfusate oxygen levels by adapting their respiratory function during end-ischaemic HMP. …”
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Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

“…The results verify that the proposed method is able to find robust optimums efficiently under parameter and decision variable uncertainties, as well.…”
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