Observation of Electromyographic Biofeedback Stimulation on Acupoints to Improve Foot Drop in Stroke Patients with Hemiplegia by Lingyan HE, Ling FENG, Zhengyi CHEN

“…Objective:To evaluate the efficacy of electromyographic biofeedback on acupoints to improve foot drop in stroke patients with hemiplegia.Methods:According to the random number table, forty stroke patients were divided into the control group and the treatment group, each group with 20 cases. …”
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Simulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM by Jiuping Xu, Jie Yan, Liming Yao

“…Summarizing various traditional and new industry chain sustainable development, live pig industry was chosen as a typical industry chain to study low-carbon development using a system dynamics and random chance-constrained model (SD-RCCM). Leshan, a world natural and cultural heritage area in China, was selected as a typical city to analyze the low-carbon pig industry. …”
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Finite Element Model Updating of Steel Arch Bridge Based on First-Order Mode Test Data by Shuai Luo, Yingming Zhang, Jibao Shen, Zhike Li

“…Using the measured acceleration time history data under random excitation and the first-order mode updating method, the stiffness matrix of the finite element model is updated, and the first-order frequencies and first-order mode shapes before and after updating of the model are compared and analyzed. …”
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Playing stereoscopic video games enhances the precision but not the accuracy of depth perception by Roger W. Li, Betty Z. Li, Sandy W. Chat, Dennis M. Levi

“…Depth detection performance was measured using random dot stereograms before and after the video game intervention. …”
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Fabrication of Aligned-Carbon-Nanotube-Composite Paper with High and Anisotropic Conductivity by Yuki Fujitsuka, Takahide Oya

“…An advanced fabrication method was developed to overcome the problem of previous CNT-composite papers, that is, reduced conductivity due to random CNT alignment. Aligning the CNTs by using an alternating current (AC) field was hypothesized to increase the electrical conductivity and give the paper an anisotropic characteristic. …”
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MHSDN: A Hierarchical Software Defined Network Reliability Framework design by Zhengbin Zhu, Qinrang Liu, Dongpei Liu, ChenYang Ge, Chong Wang

“…Finally, to speed up detection and reduce defence cost of DDoS, this research proposes the Random Forest Feature Extract (RFFE) and tolerable switch migration. …”
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Examining the Impact of Bank Cost Efficiency on Non-Performing Loans in a Dollarised Economy: Evidence from Zimbabwe by Blessing Katuka, Calvin Mudzingiri, Edson Vengesai, Juniours Marire

“…The research applies the random effects and bootstrap quantile regression models using the full dollarisation era dataset for 13 banks from 2009 to 2017. …”
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An Extension of the Double G′/G, 1/G-Expansion Method for Conformable Fractional Differential Equations by Altaf A. Al-Shawba, Farah A. Abdullah, Amirah Azmi, M. Ali Akbar

“…., are modeled through the nonlinear time fractional clannish random Walker’s parabolic (CRWP) equation, nonlinear time fractional SharmaTassoOlver (STO) equation, and the nonlinear space-time fractional KleinGordon equation. …”
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Knowledge and attitude factors as determinants of pregnant women’s participation in triple elimination program in North Bali by Sekarini Ni Nyoman Ayu Desy, Yanti Linda, Pratiwi Putu Irma

“…As part of a cross-sectional study, 87 mothers of toddlers older than two years from the Blega Health Center were selected using simple random selection. Results indicated that knowledge and attitudes significantly influence participation (P-value < 0.05). …”
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Influence of experimental fires on mesofauna communities (Collembola and Acari) of two types of meadows by Izabella Olejniczak, Stefan Russel, Anna Prędecka

“…In November 2007 sampling plots, 1 m2 in size were chosen at random and burned. Soil samples were taken just after fire and in April, July and November, 2008 to the depth of 10 cm from unburned plots (control), at the edge of fire and in burned plots. …”
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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

“…By establishing highly realistic physical and mathematical models and integrating actual operational data, a comprehensive virtual environment was created to simulate the operational status of ship cooling pumps. Using the random forest algorithm for data training and testing, the results showed that the root mean square error for the training set was 0.0037873, and for the test set, it was 0.008929, indicating high accuracy in predicting the status of cooling pumps. …”
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Driven Force Induced Bifurcation Delay on the Chaotic Financial System by Balamurali Ramakrishnan, Mohamed Abdalla, Salah Boulaaras, Karthikeyan Rajagopal

“…Furthermore, to understand the variations in the bifurcation delay, we estimate the delay time between each consecutive cycle and find random fluctuations in the BD. Following that, the BD is virtualized via a transformed phase portrait. …”
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Robust beamforming algorithm for RIS-MIMO system based on train prior information by ZHANG Zepeng, LI Cuiran, WU Hao, XIE Jianli, XU Qiong

“…Simulation results show that the proposed algorithm has faster convergence speed and higher system robustness by comparing it with the existing algorithms and the traditional without RIS system, as well as the high-speed railway (HSR) communication system under RIS random phase adjustment.…”
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Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment by Lijun Song, Zhongxing Duan, Jiwu Sun

“…And the statistical characteristics of interference signal which is difficult to get must be known before the Kalman filter is used in the TA, because the interference signal is a random signal and there are some changes on the dynamic model of system. …”
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Dynamics of an SIS reaction-diffusion epidemic model for diseasetransmission by Wenzhang Huang, Maoan Han, Kaiyu Liu

“…Recently an SIS epidemic reaction-diffusion model with Neumann (or no-flux) boundary condition has been proposed and studied by several authors to understand the dynamics of disease transmission in a spatially heterogeneous environment in which the individuals are subject to a random movement. Many important and interesting properties have been obtained: such as the role of diffusion coefficients in defining the reproductive number; the global stability of disease-free equilibrium; the existence and uniqueness of a positive endemic steady; global stability of endemic steady for some particular cases; and the asymptotical profiles of the endemic steady states as the diffusion coefficient for susceptible individuals is sufficiently small. …”
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Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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The Application of Differing Machine Learning Algorithms and Their Related Performance in Detecting Skin Cancers and Melanomas by Suboh Alkhushayni, Du’a Al-zaleq, Luwis Andradi, Patrick Flynn

“…We also created more traditional data models, including support vector classification, K-nearest neighbor, Naïve Bayes, random forest, and gradient boosting algorithms, and compared them to the CNN-based models we had created. …”
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Internal Determinants of Capital Structure of Islamic Banks: Evidence from the Middle East by Abdalla Mohammad Khalaf Al Badarin, Nabeela Khaleel Ibrahim Abanda

“…The study used a panel data method by pooling ordinary least squares, fixed effects, and random effects to determine the relationship between book leverage and internal variables such as profitability, size, non-debt tax shield, growth opportunity, tangibility, liquidity, and earnings volatility. …”
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Sensitivity and Reliability Analysis of Axial Contact Static Stiffness of Plate Preloaded Double-nut Ball Screw Pair by Wei Zongping

“…Considering uncertainty of structural parameters and applied loads of ball screw pair,when evaluating the reliability of ball screw pair through traditional methods,structural parameters and applied loads of ball screw pair are supposed to random variables,but the accurate value of distribution parameters can hardly be known in practical engineering. …”
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Efektivitas pendekatan konseling cognitive behavior dengan teknik self-management untuk meningkatkan kemandirian belajar peserta didik di sekolah menengah kejuruan by Made Rusmini, Ni Ketut Suarni, I Ketut Dharsana

“…This experimental research uses data collection techniques with random sampling techniques. The analysis technique used is in the form of parametric statistical analysis using the Paired-Sample T-Test. …”
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