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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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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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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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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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…In order to demonstrate the efficiency, adaptability and advantages of ANFIS controller, several comparative experiments are carried out using different controllers (ANFIS, conventional PI and PI regulator with the modified wave variable method PI+MWVM). …”
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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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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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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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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. …”
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OSCILLATIONS OF INHOMOGENEOUS POROELASTIC LAYER WITH VOIDS by Alexander Ovanesovich Vatulyan, Denis Sergeyevich Shvedov

“…Under the known inhomogeneity laws for Lame parameter analogs – positive functions of the vertical coordinate – the layer oscillations are described by the system of three partial differential second-order equations with variable coefficients. …”
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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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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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Multi-functional PGPR Serratia liquefaciens confers enhanced resistance to lead stress and bacterial blight in soybean (Glycine max L.) by Mohamed A. El-Esawi, Hayssam M. Ali, Ashraf Atef Hatamleh, Munirah Abdullah Al-Dosary, Enas M. El-Ballat

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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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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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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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Cost-effective medium optimization and functional enhancement of Lactiplantibacillus plantarum 22F for industrial-scale probiotic production in swine feed by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

“…Background and Aim: Industrial-scale probiotic production requires economically viable media formulations that do not compromise strain functionality. This study aimed to develop a cost-effective medium for cultivating Lactiplantibacillus plantarum 22F (L22F), a probiotic candidate isolated from swine feces, while evaluating its industrial viability and functional metabolic profile. …”
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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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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…The Flamelet Generated Manifold (FGM) method is widely employed in turbulent combustion simulations due to its high accuracy and computational efficiency. However, the model’s ability to capture turbulent combustion interactions is limited by the shape of the presumed probability density function (PDF) of the mixture fraction and progress variable. …”
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Comprehensive Evaluation of Operation Safety of Earth-rock Dams Based on Weight Optimization-cloud Model by ZHANG Jianwei, WU Weitao, HOU Ge, HUANG Jinlin, WANG Bingpeng, LIU Hongze, HU Zixu

“…The expected value of the membership degree was derived based on the normal distribution probability density function and was taken as the theoretical solution. …”
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