Monitoring Murder Crime in Namibia Using Bayesian Space-Time Models by Isak Neema, Dankmar Böhning

“…The analysis was based on the reported cases from 13 regions of Namibia for the period 2002–2006 complemented with regional population sizes. The evaluated random effects include space-time structured heterogeneity measuring the effect of regional clustering, unstructured heterogeneity, time, space and time interaction and population density. …”
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Sibling’s Support and Menstrual Hygiene among Early Adolescent Girls in Serang District, Banten Province, Indonesia by Tri Wahyuni, Ritanti Ritanti

“…This cross-sectional study involved 367 early adolescent girls aged 12–15 years who had experienced menarche, selected using a simple random sampling technique. Data were analyzed using multivariable logistic regression. …”
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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

“…A comprehensive dataset of ignition delays was generated using a random sampling technique across different temperatures and pressures, focusing on hydrocarbon fuels with 1–4 carbon atoms. …”
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The influence of the ability to understand mathematics concepts based on van hiele's level of thinking on the learning outcomes of mathematics education students by Nofyta Arlianti, Kamid Kamid, Jefri Marzal, Muhammad Haris Effendi Hasibuan

“…Sample determination was carried out using random sampling technique or determining samples randomly after carrying out a normality test, test homogeneity and equality of means tests. …”
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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

“…Six different ML models—AdaBoost, Decision Tree, Extra Tree, Random Forest, Gradient Boosting, and Extreme Gradient Boosting were used to predict fc′ of fly ash-based geopolymer concrete.The results reveal that the AdaBoost model outperformed the other models, achieving R2 score of 0.80 and RMSE of 6.60. …”
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Efficient Pairing-Free Privacy-Preserving Auditing Scheme for Cloud Storage in Distributed Sensor Networks by Xinpeng Zhang, Chunxiang Xu, Xiaojun Zhang

“…We exploit homomorphic message authentication codes (MACs) to reduce the space used to store the verification information. We also employ the random masking technique to make sure the TPA cannot recover the primitive data blocks of the sensor networks data manager. …”
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Increased observation of predictable visual stimuli in children with potential autism spectrum disorder by Mikimasa Omori

“…Previous studies have shown that children with ASD prefer observing repetitive movements over random movements, reflecting RRB symptoms, but the developmental timeline of this preference remains unclear. …”
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Examining Mathematics Achievement of Students from Different Provinces: What PISA 2018 says about Indonesia? by Kismiantini Kismiantini, Ezra Putranda Setiawan

“…We carried out statistical multilevel analysis with a random effects model using R software. Based on this analysis, we find differences in factors that influence students' mathematics achievement from three provinces. …”
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Assessment of the environmental capability of Tabriz city in the formation of a creative city by Shahrzad Amirsarvari, Mohammad Ebrahim Ramazani

“…The statistical population of the research (using Morgan table) was 384 population of Tabriz, which was conducted through a stratified random sampling questionnaire. Validity and reliability of the questionnaire were determined by content validity and formal validity and calculating Cronbach's alpha confirmation. …”
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Study of the different types of images on the short poems by hamid Jafari GhariyehAli, مهسا کشاورز

“…Author finally concludes that composing short poem purposefully and especially is much different from random short poem and this difference is effective on choosing poem images.…”
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On almost sure convergence rates for the kernel estimator of a covariance operator under negative association by Hadi Jabbari

“…It is suppose that $\{X_n,~n\geq 1\}$ is a strictly stationary sequence of negatively associated random variables with continuous distribution function F. …”
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Spatial analysis of the agricultural sustainability gap based on the TOPSIS-GIS approach by Morad Ebrahimi, Hasan Afrakhteh, Hamid Jalalian

“…For this purpose, 20 villages were selected by stratified random sampling method based on the location of the villages (plain, mountainous, and foothills), indicators of agricultural sustainability were developed and After completing the questionnaires by agricultural users, coding and data entry were performed in Excel and SPSS. …”
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Simultaneous vehicular location and velocity detection towards 6G integrated communication and sensing by Bingpeng ZHOU, Shanshan MA

“…Joint vehicle location and velocity estimation algorithm was proposed for 6G millimeter wave integrated communication and sensing (ICAS), which was challenging due to random channel fading and multipath interference.A novel receiver state sensing (RSS) algorithm was proposed to simultaneously estimate vehicle (receiver) location and velocity, in conjunction with reflection channel estimation.Moreover, a novel multi-carrier Doppler calibration scheme was developed to reduce the disturbance of Doppler effect on RSS performance via frequency shift compensation.The impact of system parameters, e.g., signal bandwidth, the number of transceiver antenna and sub-carriers, on RSS performance was evaluated as well.It was verified by simulations that the proposed RSS algorithm outperformed state-of-the-art baseline methods due to the employed problem-specific system design.In addition, it was shown by simulations that the achieved RSS error was reduced with the increasing of sub-carrier frequency, the number of transceiver antennas and sub-carriers, and it was increased with the increasing distance between base station and vehicle receiver.Particularly, the vehicle location estimation accuracy was increasing with system bandwidth, but it was invariant with central carrier frequency, since only baseband features of received signal were employed for vehicle localization.In contrast, the vehicle velocity detection accuracy was increasing with central carrier frequency, yet it was insensitive to system bandwidth, given the fixed number of sub-carriers.…”
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pH-responsive Vesicles with Tunable Membrane Permeability and Hydrodynamic Diameters from a Cross- linkable Amphiphilic Block Copolymer by Ruixue Chang, Yuelan Tian, Yong Wang, Jianglei Qin

“…The copolymers were synthesized by the random copolymerization of DEA and GMA, initiated by PEO-Br. …”
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EFFECT OF BOARD STRUCTURE ON CORPORATE SOCIAL AND ENVIRONMENTAL SUSTAINABILITY PERFORMANCE OF LISTED NIGERIAN OIL AND GAS FIRMS by Motunrayo Elizabeth OMOLEHIN, Folashade Olufunke OBAJE

“…The panel data generalized least squares (random effect) method was used to analyse data sourced from annual reports, sustainability reports of selected oil and gas firms listed on the floor of the Nigeria Exchange from 2012 to 2022 and CSRHub database. …”
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Investigating the Factors Affecting Foreign Direct Investment in Selected Muslim Countries: A Panel Data Approach by Saeid Mahmoudi, Nasser Nasiri, Saeid Hajihassaniasl

“…The foreign direct investment equation is estimated using static (fixed and random effects) and dynamic (Generalized Method of Moments) methods as panel data in both conventional and spatial econometric models. …”
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A model for phenotype change in a stochastic framework by Graeme Wake, Anthony Pleasants, Alan Beedle, Peter Gluckman

“…The model is placed in thestochastic domain by assuming that the waiting time in thepopulation is a normally distributed random variable because ofbiological variance inherent in mounting the response. …”
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Recruitment Using Social Networks by D. K. Zakharov

“…Leaders still distrust the Internet community in general and social networks in particular, seeing them as an opportunity to «stumble» on random people who are able to harm its activities. …”
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A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information by Zhengchao Zhang, Congyuan Ji, Yineng Wang, Yanni Yang

“…Validated by a practical city-wide multimodal traffic dataset in Beijing, our model significantly outperforms the random utility models and simple fully connected neural network in terms of the prediction accuracy. …”
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A Performance Comparison of Centralized and Distributed Spectrum Management Techniques in Elastic Optical Networks by Tushar Mathur, Gokhan Sahin, Donald R. Ucci

“…These signaling techniques are used with the First Fit (FF) and Random Fit (RF) Routing and Spectrum Allocation (RSA) algorithms. …”
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