Features of simulation of operator control of unmanned aerial vehicle and its target load by P. I. Savelov, Penghao Gu, A. A. Lobaty

“…On the basis of the analysis, a generalized scheme of the UAV control system and its target load is substantiated, a mathematical model of a human operator is studied in the form of a transfer function consisting of five elementary links that take into account the dynamic characteristics of the central nervous system, the delay of the neuromuscular system, the ability of the human operator to smooth random fluctuations of the information presented on the monitor screen received from the telemetry system. …”
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STRATEGY TO IMPROVE TEACHERS' PROFESSIONAL COMMITMENT THROUGH STRENGTHENING TRANSFORMATIONAL LEADERSHIP, ORGANIZATIONAL CLIMATE, JOB SATISFACTION, AND TRUST IN PRIVATE VOCATIONAL S... by Farid A., Setyaningsih S., Herfina, Hermawan A.

“…The population in this study were teachers at private vocational schools in the Lebak district, totaling 716 teachers, using proportional random sampling techniques based on the Taro Yamane Formula, a selected sample of 257 teachers was obtained, spread according to their proportions in 45 private vocational schools in Lebak district. …”
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A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke by Mengying Wang, Guolian Wei, Shaorui Gu, Zhengyuan Huo, Xue Han

“…This study aimed to determine the function and diagnostic value of ICD regulators in acute ischemic stroke (AIS). 31 significant ICD regulators were identified from the gene expression omnibus (GEO) database in this work (the combination of the GSE16561 dataset and the GSE37587 dataset in the comparison of non-AIS and AIS patients). The random forest model was applied and 15 potential ICD regulators were screened to forecast the probability of AIS. …”
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Frequency-bin-encoded entanglement-based quantum key distribution in a reconfigurable frequency-multiplexed network by Anahita Khodadad Kashi, Michael Kues

“…Specifically, we demonstrate a novel scalable frequency-bin basis analyzer module that allows for a passive random basis selection as a crucial step in quantum protocols, and importantly equips each user with a single detector rather than four detectors. …”
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PERBANDINGAN KEMAMPUAN EKSTRAK KULIT PISANG AGUNG SEMERU DAN PISANG MAS KIRANA VARIETAS LUMAJANG DALAM MENGHAMBAT PERTUMBUHAN Candida albicans by Dwi Nur Rikhmasari

“…The method used was Completely Random Design (RAL) with four of factors, that is: 0, 25, 50, 75 and 100 %. …”
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A System Identification-Based Damage-Detection Method for Gravity Dams by Masoud Mirtaheri, Mojtaba Salkhordeh, Masoud Mohammadgholiha

“…The proposed method is based on processing the acceleration response of a gravity dam under ambient excitations. First, the random decrement technique (RDT) is applied to determine the free-vibration of the structure using the structural response. …”
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Geometri Alt Öğrenme Alanlarının Öğretiminde Kullanılan Öğretim Materyalleri ile Öğretme-Öğrenme Sürecinin bir Birinci Sınıfta incelenmesi by Veli TOPTAŞ

“…Araştırmanın katılımcıları, bir devlet ilköğretim okulunda görev yapan 1. sınıf öğretmeni ve 40 öğrenciden oluşan sınıftan seçkisiz (random) yöntem ile belirlenmiş 12 öğrenciden oluşmaktadır. …”
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Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing by Jing-bo Zhuang, Zhen-miao Deng, Yi-shan Ye, Yi-xiong Zhang, Yan-yong Chen

“…According to the RIP requirement, a sparse probing pulse train with its transmitting time random is designed. After matched filtering, the slow-time echo signals of the micromotion target can be viewed as randomly sparse sampling of Doppler spectrum. …”
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CHANGE OF LANGUAGE DEVELOPMENT WITH FINGER PUPPETS STIMULATION IN CHILDREN'S PRESCHOOL by Rukanah Rukanah, Yuyun Farihatin, Yunita Dyah Fitriani

“…The sampling technique was simple random sampling, with a sample of 66 respondents (33 intervention, 33 control). …”
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An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation by Juan Wen, Xing Qu, Siyu Lin, Lin Ding, Lin Jiang

“…A hybrid particle swarm optimization (HPSO) algorithm is presented based on integer coding and random coding technique, which can find the most satisfactory solutions for the proposed dynamic model. …”
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Near-Field/Far-Field Transformation with Helicoidal Scanning from Irregularly Spaced Data by Francesco D'Agostino, Flaminio Ferrara, Claudio Gennarelli, Rocco Guerriero, Massimo Migliozzi

“…Some numerical tests assessing the effectiveness of the proposed approach and its stability with respect to random errors affecting the near-field data are shown.…”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…An online experiment assigned participants a random subset of tasks featuring T-intersections. …”
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Machine learning for QoS and security enhancement of RPL in IoT-Enabled wireless sensors by Abubakar Wakili, Sara Bakkali, Ahmed El Hilali Alaoui

“…Our approach integrates a random forest model for precise traffic classification, a reinforcement learning module for dynamic and adaptive routing, and a modified RPL objective function that incorporates classification outcomes into routing decisions. …”
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Analysis of the Requirements of Knowledge Management Systems According to the Specification ISO 30401:2018 in the Oil Projects Company by Sarah Jabbar Saeed, Areej Saeed Khalil

“…Where the research problem was diagnosed with a weakness in the knowledge of the researched company and its failure to manage it according to approved standards and systems, which negatively affects the employment of its knowledge stock in improving its products and services. A random sample of (170) employees from various administrative levels in the company was chosen. …”
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Differentiation between some Ulva spp. by morphological, genetic and biochemical analyses by M. M. Ismail, E. S. Mohamed

“…Genetic variations between the tested Ulva spp. were analyzed using random amplified polymorphic DNA (RAPD) analyses which shows that it would be possible to establish a unique fingerprint for individual seaweeds based on the combined results generated from a small collection of primers. …”
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Assessment of soil properties in technogenically disturbed lands of Kemerovo Oblast – Kuzbass by Maria Osintseva

“…All obtained results of assessment of soil conditions on the experimental site and adjacent territories should be used in planning further experimental work on conducting the biological recultivation phase to minimize random experimental errors associated with the influence of native vegetation cover and primary soil conditions on the survival of crops sown on the site. …”
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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

“…This approach reduces scan time and cost while improving reconstruction efficiency compared to random projection selection. Our results demonstrate that this method effectively optimizes CT trajectories by focusing on predefined regions of interest and provides a practical solution for efficient, cost-effective CT imaging in real-world applications. …”
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The impact of project-based learning on mathematics interest and self-efficacy among senior high school students by Arief Aulia Rahman, Nyak Wha Usalmy, César Hernández, Craig N Refugio

“…Employing a quantitative quasi-experimental design, the study utilized a sample of eleventh-grade students selected through simple random sampling. Data were gathered using questionnaires and observational methods and analyzed using a multivariate analysis of variance (MANOVA) test. …”
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Participatory management and sustainable ecosystem management indicators by Saeed Maghsoodi, Seyedeh Khadijeh Mahdavi, Mohammadreza Shahraki, Mohsen Sharafatmandrad

“…The statistical population includes 99 pastoralists from 3 pastoral units, of which 80 pastoralists were selected as the sample size and sampled by stratified random sampling technique. The measurement tool was a researcher-made questionnaire. …”
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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

“…Various evaluation indicators show that the Staging-eSNN model achieves higher performance than the support vector regression (SVR), random forest (RF) and other eSNN models.…”
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