Efektivitas teori konseling cognitive behavior dengan teknik self management untuk meningkatkan disiplin belajar siswa by I Made Putra, Ni Ketut Suarni, I Ketut Dharsana

“…Sampling was carried out by random sampling class as an intack group. As for the members of the sample are students of class X5 and X6, totaling 79 people as the experimental class and the control class. …”
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The influence of big data, content marketing, and artificial neural networks on purchase decisions: the moderating role of purchase intentions by Sudarsono Sudarsono, Azis Rachman

“…The method in this study uses a quantitative approach and sampling techniques with simple random sampling, data distributed by google form and offline conducted January - March 2024, a total of 385 data collected. …”
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HEIs service quality as a predictor of students’ satisfaction affecting academic performance: The extension of the Embryonic HESQUAL model by Kamrunnahar Happy, Nafiza Islam, Rabbir Rashedin Trin

“…The study was a one-time dimensionaland used a simple random sampling method which is suitable for quantitativestatistical analysis and homogeneous populations in nature. …”
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Historical Feature Pattern Extraction Based Network Attack Situation Sensing Algorithm by Yong Zeng, Dacheng Liu, Zhou Lei

“…The situation sequence contains a series of complicated and multivariate random trends, which are very sudden, uncertain, and difficult to recognize and describe its principle by traditional algorithms. …”
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Synonymous Codon Usage Controls Various Molecular Aspects by Eu-Hyun Im, Sun Shim Choi

“…Researchers have recognized synonymous codon usage bias (SCUB) in the genomes of almost all species and have investigated whether SCUB is due to random nucleotide compositional bias or to natural selection of any functional exposure generated by synonymous mutations. …”
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The Study of Mean-Variance Risky Asset Management with State-Dependent Risk Aversion under Regime Switching Market by Shuang Li, Yu Yang, Yanli Zhou, Yonghong Wu, Xiangyu Ge

“…How do investors require a distribution of the wealth among multiple risky assets while facing the risk of the uncontrollable payment for random liabilities? To cope with this problem, firstly, this paper explores the approach of asset-liability management under the state-dependent risk aversion with only risky assets, which has been considered under a continuous-time Markov regime-switching setting. …”
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The Contribution of Assertive Technique Behavioral Counseling to Minimize the Juvenile Delinquency Behavior by Zadrian Ardi, Mey Sisin

“…The study population was the eighth grade students in South Solok West Sumatra consist of 82 students using Random Sampling. Data collection methods that used in this study were a questionnaire method. …”
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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Optimization Design of Mountain and Water Landscape of Traditional Mountain Village Based on New Robot Visual Technology by Xinxin Jia, Ruixin Liu, Zhi Qiao

“…The reasonable application of the random sampling consistent algorithm can be used to eliminate the theoretically possible error points and then complete the initial aiming pairing. …”
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A signal design method for LEO satellite communication and navigation integration based on optimized CCSK modulation by ZHU Min, ZHAO Yafei, ZHANG Yuman, PENG Mugen

“…Based on orthogonal frequency division multiplexing (OFDM), three sub-carrier distribution schemes of continuous allocation, alternating allocation and random allocation were proposed. Simulation and analysis of the autocorrelation peak performance of integrated signal with optimized CCSK and CCSK modulation were conducted. …”
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UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design by Saichao Pan, Hanyu Wang, Hang Zhang, Zan Tang, Lianqiang Xu, Zhixiang Yan, Yong Hu

“…We developed UTR-Insight, a model integrating a pretrained language model with a CNN-Transformer architecture, explaining 89.1% of the mean ribosome load (MRL) variation in random 5′ UTRs and 82.8% in endogenous 5′ UTRs, surpassing existing models. …”
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Information Spread of Emergency Events: Path Searching on Social Networks by Weihui Dai, Hongzhi Hu, Tunan Wu, Yonghui Dai

“…This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. …”
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Biotechnological tools boost the functional diversity of DNA-based data storage systems by Xiaoyuan Xu, Wen Wang, Zhi Ping

“…It is attracting many researchers’ attention, who are implementing functions such as random access, searching, and data operations apart from the existing capabilities, including reading and writing. …”
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Awareness and Utilization of Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-NHPM) among Beneficiaries of Gautam Buddha Nagar District: A Comparative Study by Raghav Dixit, Ambren Chauhan, Khushboo Juneja

“…A comparative cross sectional study was conducted in the field practice areas of the Department of Community Medicine, Gautam Buddha Nagar, Uttar Pradesh among 224 households. Simple random sampling was done, and data was collected using a semi-structured questionnaire. …”
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Distributed Movement Control for Building a Ring in Mobile Wireless Sensor Networks by Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao

“…We first give the theoretical analysis on what is optimal sensor movement with the given random deployment. Then, we propose a fully distributed movement control algorithm to achieve ring-based shape for mobile sensor networks. …”
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IMPACT OF EXTERNAL DEBT ON FINANCIAL DEVELOPMENT: AN EMPIRICAL ANALYSIS OF SELECTED EAST ASIAN AND PACIFIC COUNTRIES by Hoang Minh Nguyen

“…Data were extracted from the World Bank and International Monetary Fund databases. This study employs random effects and fixed effects models, Driscoll-Kraay standard errors, and the generalized method of moments to test two hypotheses. …”
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Multimode Friedel oscillations in monolayer and bilayer graphene by Chiun-Yan Lin, Chih-Wei Chiu

“…Abstract This study systematically explores the influence of charged impurities on static screening in monolayer graphene and extends the investigation to AA-stacked and AB-stacked bilayer graphene (BLG). Applying the random phase approximation (RPA), monolayer graphene displays unique beating Friedel oscillations (FOs) in inter-valley and intra-valley channels. …”
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Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. by Dyah Aryani Perwitasari, Imaniar Noor Faridah, Haafizah Dania, Didik Setiawan, Triantoro Safaria

“…The Neural Network and Random Forests were the most suitable models to predict tuberculosis patients' adherence with good Area Under The Curve (AUC).…”
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Better than expected performance effect depends on the spatial location of visual stimulus by Soodeh Majidpour, Mehdi Sanayei, Reza Ebrahimpour, Sajjad Zabbah

“…Seven participants viewed two pulses of random dot motion stimulus, separated by time gaps and presented at different locations within the visual field. …”
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Simulation of duplicate tooling consumption at aircraft manufacturing enterprises by V. A. Vdovin, O. A. Afanasieva

“…The use of the steepest descent method makes it possible to adjust the regression parameters based on incoming data, taking into account the main trends in the development of the simulated process and providing for smoothing its random fluctuations.…”
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