An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients by Sara A. Schmidt, Somayeh Shahsavarani, Rafay A. Khan, Yihsin Tai, Elsa C. Granato, Caterina M. Willson, Pedro Ramos, Paul Sherman, Carlos Esquivel, Bradley P. Sutton, Fatima T. Husain

“…Resting state functional connectivity (RS-FC) studies of tinnitus over the years have produced inconsistent results. …”
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Evaluating handgrip strength and functional tests as indicators of gait speed in older females by Valentina Muollo, Samuel D’Emanuele, Laura Ghiotto, Doriana Rudi, Federico Schena, Cantor Tarperi

“…Pearson's correlation (r) was used to assess the strength of associations between HGS and functional variables, while multiple linear regression models identified determinants of GS. …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

“…Furthermore, the least values of coefficient of variability (CV) in the device switching voltages are 6.09% (VSET) and 3.22% (VRESET) in the case of device-to-device (D2D) while 1.76% (VSET) and 2.14% (VRESET) in the case of cycle-to-cycle (C2C). …”
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On the Inverse Problem of the Fractional Heat-Like Partial Differential Equations: Determination of the Source Function by Gülcan Özkum, Ali Demir, Sertaç Erman, Esra Korkmaz, Berrak Özgür

“…The study in this paper mainly concerns the inverse problem of determining an unknown source function in the linear fractional differential equation with variable coefficient using Adomian decomposition method (ADM). …”
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Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs by Jérémy Béguin, Sarra Mahfoudhi, Marie Uzel, Antoine Rostang, Catherine Ibish, Aude A. Ferran, Ludovic Pelligand, Anne Hulin, Matthias Kohlhauer

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A Method of Finding Source Function for Inverse Diffusion Problem with Time-Fractional Derivative by Vildan Gülkaç

“…The inverse problem is with variable coefficients and initial and boundary conditions. …”
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Impact of Cattaneo-Christov heat and surface temperature on viscoelastic non-newtonian micropolar nanofluids: Darcy exponential sheet flow with planktonic microorganisms by Muhammad Waseem, Ihab Omar, Muhammad Jawad, Taoufik Saidani, Qasem M. Al-Mdallal

“…It is declared that Skin friction coefficients decline for developed values of magnetic parameterM, porosity parameterK1.and viscoelastic parameterK2. …”
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Global Asymptotic Stability of Impulsive CNNs with Proportional Delays and Partially Lipschitz Activation Functions by Xueli Song, Jigen Peng

“…This paper researches global asymptotic stability of impulsive cellular neural networks with proportional delays and partially Lipschitz activation functions. Firstly, by means of the transformation vi(t)=ui(et), the impulsive cellular neural networks with proportional delays are transformed into impulsive cellular neural networks with the variable coefficients and constant delays. …”
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Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

“…This study investigates the impact of the gradation exponents (p) in the z-direction, the slenderness ratio (L/h), the distribution of porosity, the porosity coefficient (e), and various boundary conditions on the natural frequencies. …”
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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

“…Rotational machines under variable speed conditions often confront challenges to diagnose various component faults as an existing problem with less exploration of sound signals in this subject area. …”
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Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

“…A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. …”
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

“…Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions by Xinling Wang, Naeim Farouk, Xiaoqing Fu, Pradeep Kumar Singh, Guo Xu, Fahad M. Alhomayani, Baseem Khan, Fawaz S. Alharbi, Barno Sayfutdinovna Abdullaeva, Laith H. Alzubaidi, Yasser Elmasry, Hakim A.L. Garalleh

“…The primary objective of the study is to examine the impact of critical parameters, including shape, hydraulic diameter, inlet temperature, mass flux, and operating pressure, on important variables such as friction factor, heat transfer coefficient, and exergy efficiency. …”
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Central Pulse Wave Velocity and Augmentation Index Are Repeatable and Reproducible Measures of Arterial Function by Sophie L. Russell, Mushidur Rahman, Charles J. Steward, Amy E. Harwood, Gordon McGregor, Prithwish Banerjee, Nduka C. Okwose, Djordje G. Jakovljevic

“…Conclusion PWV and Alx demonstrate excellent repeatability and good reproducibility. Considering these variables are noninvasive and easy‐to‐measure, arterial function assessment may have a role in routine clinical practice to facilitate risk stratification in cardiovascular diseases.…”
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Soret/Dufour, variable density, and viscous dissipation effects on heat and mass transfer of Oldroyd-B fluid flow over polymer sheet with convective heat flux by Zia Ullah, Md. Mahbub Alam, Farida Safdar, Moataz Alosaimi, Feyisa Edosa Merga

“…This study explores the influence of viscous dissipation and variable density on heating efficiency and mass flux in magneto-hydrodynamic Oldroyd-B fluid flow over a polymer stretching surface with Soret and Dufour effects. …”
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An experimental study on the effect of lobe swirl device and its transition parts on thermal performance using Graphene-CuO/water nanohybrid by Farag A. Diabis, Abd Rahim Abu Talib, Norkhairunnisa Mazlan, Eris Elianddy Supeni

“…Enhancing heat transfer efficiency is a key focus in thermal applications. Smooth channels often suffer from poor fluid mixing, limiting their performance. …”
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Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems by Israa H. Hasan, Iden H. Al Kanani

“…This paper proposes a novel ranking function technique with variables of type decagonal fuzzy numbers for solving fully fuzzy fractional linear programming (FFFLP) problems. …”
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The Effect of Temperature Dependency on the Thermo-Electro-Elastic Analysis of Functionally Graded Piezoelectric Spherical Shell by Mohammad Arefi, Masoud Takhayor Ardestani

“…Substitution of temperature distribution into constitutive relations and then into equilibrium and Maxwell equations would give final governing equations having variable thickness. The variable coefficient governing equations are solved using the division method. …”
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A topological analysis of p(x)-harmonic functionals in one-dimensional nonlocal elliptic equations by Goodrich Christopher S.

“…We consider a class of one-dimensional elliptic equations possessing a p(x)-harmonic functional as a nonlocal coefficient. As part of our results we treat the model case−M∫01u′(x)p(x)dxu′′(t)=λft,u(t), 0<t<1 $${-}M\left(\underset{0{}}{\overset{1}{\int }}{\left\vert {u}^{\prime }(x)\right\vert }^{p(x)}\ \mathrm{d}x\right){u}^{\prime \prime }(t)=\lambda f\left(t,u(t)\right)\text{,\hspace{0.17em}}0< t< 1$$ subject to the boundary datau(0)=0=u(1). …”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…The optimization targeted the perforation friction coefficient <italic>k</italic>_perf as the primary unknown variable. …”
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