Adoption of National Identity in Metropolises: A Study in Istanbul by Ece Doruk, Seda Mengü

“…Considering development levels, socio-economic status, population densities of different districts, a research field will be formed with random sampling method. Questionnaires will be implemented through interviews with individuals. …”
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A Joint Encryption and Reversible Data Hiding Scheme Based on Integer-DWT and Arnold Map Permutation by Shun Zhang, Tiegang Gao, Guorui Sheng

“…Experimental results demonstrate that, compared with existing joint encryption-RDH schemes, the proposed scheme has gained larger embedding capacity, and the distribution of the encrypted image with data hidden has a random like behavior. It can also achieve the lossless restoration of the cover image.…”
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Evolution of money to digital currency by V. D. Kuligin, I. D. Matskulyak, D. I. Matskulyak

“…Their manifestation in different historical periods is compared – random exchange, commodity-money circulation, depreciation of money, the ratio of their supply and demand, the appearance of fiat money, and digital currency – their advantages and disadvantages are revealed.…”
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Maximizing Information Dissemination in Social Network via a Fast Local Search by Lijia Tian, Xingjian Ji, Yupeng Zhou

“…When the algorithm stalls in local optima, a random walk operator reorients the search towards unexplored regions. …”
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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

“…Relationships between Twitter-obtained features and BIST indices were analyzed using machine learning methods such as linear regression, Lasso regression, random forest, and XGBoost. The analysis revealed that 91% of the change in the opening value, 63% of the change in trading volume, and 67% in volatility of the BIST 100 index could be attributed to cognitive, behavioral, and social features gleaned from tweets.…”
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Effectiveness of the Tier 1 Program of Project P.A.T.H.S.: Findings Based on Three Years of Program Implementation by Daniel T. L. Shek, Rachel C. F. Sun

“…In the third year of the Full Implementation Phase, 19 experimental schools (n = 3,170 students) and 24 control schools (n = 3,808 students) participated in a randomized group trial. Utilizing the six-wave longitudinal data, ANCOVA, and linear mixed models controlling for differences between the two groups in terms of Wave 1 pretest scores, personal variables, and random effects of schools, it was revealed that participants in the experimental schools showed significantly better development than did participants in the control schools at post-test (Wave 6) based on different indicators of positive youth development derived from the Chinese Positive Youth Development Scale and other measures. …”
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The Influence of Accounting Information System Quality and Work Motivation on Employee Performance by Gun Gunawan Rachman, Senny Sri Juniarti, Kania Nurcholisah

“…The sampling method involved distributing questionnaires using simple random sampling techniques, with a total of 110 respondents. …”
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MDMA. Un modèle pour l’identification et l’annotation des marqueurs discursifs « potentiels » en contexte by Catherine T. Bolly, Ludivine Crible, Liesbeth Degand, Deniz Uygur-Distexhe

“…We proceeded in three steps: (i) manual identification of all so-called “potential” DMs in a balanced corpus of spoken French (5,000 words; Belgium and France); (ii) automatic extraction from the corpus of every token corresponding to the candidate DMs previously identified (1,181 tokens) ; and (iii) parameter analysis of a random sample of 200 potential DMs (syntactic, formal and semantic-pragmatic variables). …”
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Statistically Quantifying the Uncertainty in Strength of Marine Clay Stabilized by a Type of Portland-Fly Ash Cement by Zhi-Ren Zhu, Qiang-Qiang Cheng, Yang-Yang Chen, Elton J. Chen, Yuan Su

“…These two uncertainties were quantitatively described as two random variables, and the analyses were conducted through the Monte Carlo simulation method. …”
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Service function chain embedding algorithm with wireless multicast in mobile edge computing network by Kan WANG, Nan ZHAO, Junhuai LI, Huaijun WANG

“…To resolve the excessive system overhead and serious traffic congestion in user-oriented service function chain (SFC) embedding in mobile edge computing (MEC) networks,a content-oriented joint wireless multicast and SFC embedding algorithm was proposed for the multi-base station and multi-user edge networks with MEC servers.By involving four kinds of system overhead,including service flow,server function sustaining power,server function service power and wireless transmission power,an optimization model was proposed to jointly design SFC embedding with multicast beamforming.Firstly,with Lagrangian dual decomposition,the problem was decoupled into two independent subproblems,namely,SFC embedding and multicast beamforming.Secondly,with the L<sub>p</sub> norm penalty term-based successive convex approximation algorithm,the integer programming-based SFC embedding problem was relaxed to an equivalent linear programming one.Finally,the non-convex beamforming optimization problem was transformed into a series of convex ones via the path following technique.Simulation results revealed that the proposed algorithm has good convergence,and is superior to both the optimal SFC embedding with unicasting and random SFC embedding with multicasting in terms of system overhead.…”
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Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Mengya Cao

“…To complete this project, the author used Linear Regression, LASSO, Regression Trees, Bagging, Random Forest, and Boosted Trees to perform the analysis. …”
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A New Generation Method for Spatial-Temporal Correlated MIMO Nakagami Fading Channel by Qiu-Ming Zhu, Xiang-Bin Yu, Jun-Bo Wang, Da-Zhuan Xu, Xiao-Min Chen

“…The new scheme can be divided into two steps: (1) generate independent Nakagami fading sequences for each subchannel based on a novel rejection method; (2) introduce the temporal and spatial correlation based on the relationships between Rayleigh, Gamma, and Nakagami random processes. The analysis and simulation results show that the proposed simulator has a good agreement with the theoretical model on fading envelope distribution, spatial-temporal correlation characteristic.…”
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Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment by Jiawu Gan, Shuqi Zhong, Sen Liu, Dan Yang

“…Therefore, in order to fill the research gap, this paper proposes a hybrid method, which combines triangular fuzzy number, the best-worst method (BWM), and the modular TOPSIS in random environments for group decision-making (GMo-RTOPSIS) to solve the above problem. …”
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Human Behavior-Based Particle Swarm Optimization by Hao Liu, Gang Xu, Gui-yan Ding, Yu-bo Sun

“…First, the global worst particle was introduced into the velocity equation of PSO, which is endowed with random weight which obeys the standard normal distribution; this strategy is conducive to trade off exploration and exploitation ability of PSO. …”
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A Prediction Method Based on Monte Carlo Simulations for Finite Element Analysis of Soil Medium considering Spatial Variability in Soil Parameters by Kedong Tang, Jialiang Wang, Lielie Li

“…The proposed method introduces a distance space to the Monte Carlo Method (MCM) random field instances and, considering the importance of a safety margin in structures, uses selected spatial interpolation to predict the MCM instances to be solved. …”
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STUDY OF SUB-IMPACTS IN SIMPLY SUPPORTED BEAM STRUCK BY STEEL SPHERE by QI XiaoLi, YIN XiaoChun, YANG HaiBo, JIN TengFei

“…And their impact durations vary randomly around the Hertz impact duration,but their variation in general are coincide with the Hertz impact duration;（ 3） It shows that the complicated sub-impacts that look like random and sensitive to structural transient response are dominated by local impact-contact deformation,and their mechanism can be explained by the Hertz impact theory;（ 4） The theoretical analysis has shown that the processes of the subsequence subimpacts are influenced greatly by the global structure vibrations,in turn affecting sphere motion and beam vibration response,and eventually leading to the next collision is difficult to predict.…”
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A Parametric Study of Nonlinear Seismic Response Analysis of Transmission Line Structures by Li Tian, Yanming Wang, Zhenhua Yi, Hui Qian

“…Nonuniform ground motions are generated using a stochastic approach based on random vibration analysis. The effects of multicomponent ground motions, correlations among multicomponent ground motions, wave travel, coherency loss, and local site on the responses of the cables are investigated using nonlinear time history analysis method, respectively. …”
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A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise by Xin Huang, Ting Hu, Pei Pei, Qin Li, Xin Zhang

“…For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task.…”
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The influence of competence, work environment and organizational culture on nurse performance at Dr Soekardjo Tasikmalaya hospital by Peni Cahyati, Dudi Hartono, Siska Evi Martina, Anah Sasmita

“…Sampling using a simple random sample. Data collection in the field will be carried out in 2022 2. …”
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Performance Analysis of Switched Control Systems Under Common-source Digital Upsets Modeled by MDHMM by Rui Wang, Yanxiao Li, Hui Sun, Youmin Zhang, Yigang Sun

“…In this paper, a multidimensional hidden Markov model (MDHMM) is used to characterize the correlated upsets and reveals the relationship between complex environments and stochastic random digital upsets injected into the control systems. …”
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