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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Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia: An in-silico analysis. by Hadi Esfandi, Mahshad Javidan, Rozalyn M Anderson, Ramin Pashaie

“…However, temporal alterations in capillary diameter contribute moderately to cerebral autoregulation and minimally to functional hyperemia. In addition, hemodynamic analysis shows that while hemodynamics within capillaries remain relatively stable across all cortical depths throughout the entire autoregulation range, significant variability in hemodynamics can be observed within the first few branch orders of precapillary arterioles or transitional zone vessels. …”
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A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…Detecting sleep apnea accurately and efficiently presents several challenges, including variability in physiological signals among individuals and class imbalance for apnea events. …”
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An Integrated Slacks-Based Measure of Super-Efficiency with Input Saving and Output Surplus Scaling Factors and its Application in Paper Chemical Mills by Dong Guo, Zheng-Qun Cai

“…This paper revises the usual slacks-based measure of super-efficiency by incorporating input saving and output surplus scaling factors into the objection function for measuring DMUs. …”
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Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

“…An ensemble of JJAS rainfall predictions using the CNN model with a unique custom function showed high skills in predicting ISMR at a long-lead time of 12 months. …”
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Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

“…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

“…Remote photoplethysmography imaging (rPPG) makes it possible to use a camera video to measure some of the most valuable physiological variables: heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2). …”
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The Use of High-Density SNP Array to Map Homozygosity in Consanguineous Families to Efficiently Identify Candidate Genes: Application to Woodhouse-Sakati Syndrome by Molly B. Sheridan, Elizabeth Wohler, Denise A. S. Batista, Carolyn Applegate, Julie Hoover-Fong

“…DCAF17, encoding a transmembrane nuclear protein of uncertain function, was the only gene identified in a homozygous region known to cause hypogonadotropic hypogonadism. …”
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Analyzing execution path non-determinism of the Linux kernel in different scenarios by Yucong Chen, Xianzhi Tang, Shuaixin Xu, Fangfang Zhu, Qingguo Zhou, Tien-Hsiung Weng

“…However, the execution path of a system call is effectively non-deterministic in Linux kernel space, which challenges the test coverage-based verification recommended by the functional safety standards. This research analyzes the influence of system state on Linux kernel path variability from two perspectives: file system type and system load. …”
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Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

“…In this study, an efficient finite element model with two degrees of freedom per node is developed for buckling analysis of axially functionally graded (AFG) tapered Timoshenko beams resting on Winkler elastic foundation. …”
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A Comparative Study of Banking Sectors of Pakistan and India: An Application of Data Envelopment Analysis by Aamir Shahzad, Tahir Mahmood, Mehwish Shahzad

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Influence of EEG-based functional connectivity and inhibitory control on educational web search performance among adolescents by Надежда Владимировна Сутормина

“…EEG was recorded at rest with eyes closed to determine the metrics of functional connectivity in the EEG sensor space. The following connectivity metrics were used for further analysis: global efficiency, modularity, and assortativity. …”
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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

“…The Gaussian was selected to estimate the marginal distributions of hydrological variables in the Fuchun River Basin, demonstrating higher simulation accuracy without relying on any distribution assumption.(2) By estimating the Kendall and Spearman rank correlation coefficients of the bivariate functions of Gaussian-Copula, t-Copula, Clayton-Copula, Frank-Copula, and Gumbel-Copula, and comparing them with the Kendall and Spearman rank correlation coefficients of the original observed data, it was found that Gaussian-Copula and Gumbel-Copula were closer to the observed data.(3) By calculating the Euclidean distance, the fitting performance of the Copula functions was evaluated. …”
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Unveiling potential: Hybrid nanofluid-driven strategies for maximizing electrical efficiency in Photovoltaic Thermal Systems with trapezoidal flow channel for coolant purposes by A.A. Alderremy, Abid A. Memon, A.M. Obalalu, T.H. El-Ghareeb, Amsalu Fenta

“…The PV/T system features a simple configuration, with mono-crystalline silicon above the flow channel, copper functioning as the absorber, and a trapezoidal-shaped flow channel. …”
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A Focusing Algorithm in Automatic Microscope by LIANG Long-kai, ZHAO Jing, HE Yong-jun

“…Then the proposed evaluation functions are applied to realize the variable step climbing search strategy． …”
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On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling by Saddam Hussain, Mi Zichuan, Sardar Hussain, Anum Iftikhar, Muhammad Asif, Sohail Akhtar, Sohaib Ahmad

“…In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. …”
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Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization by Markus Gabl, Immanuel M. Bomze

“…Modeling parts of an optimization problem as an optimal value function that depends on a top-level decision variable is a regular occurrence in optimization and an essential ingredient for methods such as Benders Decomposition. …”
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Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

“…Shapiro-Wilk test was applied to determine if the data were normally distributed, Pearson’s correlation coefficient analysis was used measure linear correlation, and Spearman’s rank correlation coefficient (ρ) was determined to measure the strength and direction of correlation between variables. …”
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Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density by Hamed Kargaran, Hassan Alipour, Maryam Amirhoseiny, Ghasem Alahyarizadeh

“…Optimization problems can be classified as discrete or continuous, depending on the nature of the decision variables. Using continuous algorithms for problems that are inher-ently discrete can pose challenges in achieving optimal efficiency. …”
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Method and Algorithm for Processing Large Volume Images by O. N. Andreichuk, N. I. Listopad

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