Challenges and future perspectives in using mesenchymal stem cells for efficient bone fracture healing by Dong Han, Weiwei Liu, Jinpeng Gong, Yupeng Ma, Zhengwen Sun

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Efficient techno-economic modelling of smart parking lots within the electricity distribution networks by Seyed Ashkan Nejati, David Greenwood, Sanchari Deb, Saman Nikkhah

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Automated protocol templates with efficient schedule of activities table generation for healthy volunteer trials by Kyongeun Shin, Sungpil Han, Hyerim Choe, Suein Choi, Seunghoon Han

“…Additionally, a web-based SoA generator (developed with React.js) was created, featuring user-friendly functions for flexible start day adjustments, trial parameter settings, and automatic annotations. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

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A hydrothermal coupling model for permafrost subgrade considering temperature gradient and its application by Jianqing Jia, Zeqing He, Victor O. Tenorio

“…In this study, the dynamic variation of soil permeability coefficient with temperature is considered, the permeability coefficient is defined as a piecewise function with temperature as independent variable, and the hydrothermal coupling equation is established. …”
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Influence of Mismatch of Parameters of Quadrature Channels on the Work of the Adaptive Selection System for Moving Targets by S. I. Ziatdinov

“…An expression is obtained for the frequency transfer function of an adaptive passive noise suppression system with a variable cut-off zone relative to the average frequency of the spectrum of interference signals. …”
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The Quality of Functional Movements and the Back Squat in Amateur and Professional Bodybuilders by VERONIKA ILJINAITĖ, LAIMONAS ŠIUPŠINSKAS, KRISTINA BERŠKIENĖ

“…Statistical analyses applied non-parametric tests (Wilcoxon, Mann-Whitney U, and Friedman's) for dependent and independent samples, with significance set at p\<0.05, and the Spearman correlation coefficient and Chi-square test were used to assess relationships between quantitative and qualitative variables…”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Abstract This study aims to improve both the evaluation accuracy and the real-time feedback capability in monitoring athletes’ physical function changes during volleyball training. Firstly, based on the framework of the generalized regression neural network, a variable-structure generalized regression neural network (VSGRNN) is proposed and developed. …”
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Assessment of Pedotransfer Functions for Saturated Hydraulic Conductivity of Anatolian Soils by Gülay Karahan

“…However, it has been frequently reported that measurement of Ksat is laborious, time-consuming, and expensive due to its high spatial variability and this has motivated researchers to develop indirect methods such as pedotransfer functions (PTFs) for developing Ksat-database in regional and national scales. …”
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Triple mass diffusion phenomenon in tangent hyperbolic fluid with variable thickness, Soret, and Dufour theory: Galerkin finite element method by Umar Nazir, Muhammad Sohail, Hashem Alyami, Masoud Alajmi, Jihad Younis, Hamad Almujibah

“…It is included that the velocity fields are decreasing function with increments of We, NR, and m but increasing function vs velocity fields and buoyancy ratios for salt 1 and 2 are investigated. …”
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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. …”
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Glycemic variability in type 2 diabetic patients with metabolic dysfunction-associated steatotic liver disease: a case-control study by Yueqiu Wang, Jing Liu, Yaoqin Yang, Qiong Wang, Yiqiong Sun, Ruiting Shen, Mingchen Zhang

“…HOMA-IR and HOMA-β indices were used to assess insulin resistance and islet β-cell function. The degree of hepatic fibrosis was graded using the FIB-4 score. …”
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Bringing Executive Function Testing Online: Assessment Validation Study by Mouna Attarha, Ana Carolina de Figueiredo Pelegrino, Lydia Ouellet, Sarah-Jane Grant, Etienne de Villers-Sidani, Thomas Van Vleet

“…Performance on Freeze Frame was analyzed in relation to self-reported demographic variables and neuropsychological function, using a standardized measure of executive function, the National Institutes of Health Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (NIH EXAMINER). …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization by Junsen Xiao, Naruethep Sukulthanasorn, Reika Nomura, Shuji Moriguchi, Kenjiro Terada

“…As a result, the objective function is in a simple format, enabling efficient optimization using QAOA. …”
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Standard Deviation of Fiber-Coupling Efficiency for Free-Space Optical Communication Through Atmospheric Turbulence by Woohyeon Moon, Hoon Kim

“…Due to atmospheric turbulence, however, the coupling efficiency, which is defined by the ratio of the fiber-coupled optical power to the optical power reaching the aperture, fluctuates over time, and thus should be treated as a random variable. …”
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Assessing fiber quality variability among modern upland cotton cultivars and incorporating it into the GOSSYM-based fiber quality simulation model by Sahila Beegum, Muhammad Adeel Hassan, Krishna N. Reddy, Vangimalla Reddy, Kambham Raja Reddy

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Comparison of the Effect of Fimasartan versus Valsartan on Blood Pressure Variability in Acute Ischemic Stroke: A Double-Blind Randomized Trial by Dong Hoon Shin, Soohwa Song, Yeong Bae Lee

“…Higher blood pressure variability (BPV) is associated with poor functional outcome and mortality in acute stroke. …”
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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…Therefore, this study is motivated to adopt the idea of a penalized semi-parametric Bayesian Cox (PSBC) model through elastic-net and group lasso penalty functions (PSBC-EN and PSBC-GL) to incorporate the grouping structure of the covariates (genes) and optimally perform variable selection. …”
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