ANALISIS USAHATANI NENAS DI DESA KUALU NENAS KECAMATAN TAMBANG KABUPATEN KAMPAR ANALYSIS OF PINEAPPLE FARMING IN KUALU NENAS VILLAGE SUB-DISTRICT OF TAMBANG KAMPAR REGENCY by Khairani Khairani, Roza Yulida, Jumantri Yusri

“…The technique was taken respondents by simple random sampling. The populations of this research are pineapple farmers with the 67 peoples were chosen at random to 35 farmers. …”
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INDUCTION TRAINING AND EMPLOYEE PERFORMANCE: A STUDY OF NIGERIA DEPOSIT INSURANCE CORPORATION by Ummul-Khairi Mohammed

“…Employees were chosen at random from a list of names in a basket to serve as research participants. …”
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How to Run Linear Mixed Effects Analysis for Pairwise Comparisons? A Tutorial and a Proposal for the Calculation of Standardized Effect Sizes by Marc Brysbaert, Dries Debeer

“…The second section discusses studies where both participants and stimuli are used as sources of random variation, ensuring robust generalization beyond the specific stimuli tested. …”
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Human Pose Recognition Based on Depth Image Multifeature Fusion by Haikuan Wang, Feixiang Zhou, Wenju Zhou, Ling Chen

“…A new data set is then established to train the random forest classifier, and a random forest two-way voting mechanism is adopted to classify the pixels on different parts of the human body depth image. …”
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Numerical Simulation of Recycled Concrete Using Convex Aggregate Model and Base Force Element Method by Yijiang Peng, Hao Chu, Jiwei Pu

“…By using the Base Force Element Method (BFEM) on potential energy principle, a new numerical concrete model, random convex aggregate model, is presented in this paper to simulate the experiment under uniaxial compression for recycled aggregate concrete (RAC) which can also be referred to as recycled concrete. …”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…We analyze the impact of these structures on temporal network evolution by incorporating them into exponential random graph models across five networks of varying size, density, and directionality. …”
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Device-independent uncloneable encryption by Srijita Kundu, Ernest Y.-Z. Tan

“…In particular, the resulting single-decryptor encryption scheme achieves device-independent security with respect to a standard definition of security against random plaintexts. Finally, we derive an ``extractor'' result for a two-adversary scenario, which in particular yields a single-decryptor encryption scheme for single bit-messages that achieves perfect anti-piracy security without needing the quantum random oracle model.…”
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The effect of formaldehyde solution in pitfall traps on the probability of catching woodlice (Isopoda, Oniscidea) by Ivan Hadrián Tuf, Lucie Novotná, Pavel Fryčka

“…Our study compares the effect of formaldehyde solution, water, and the random probability of catch simulated by using dry traps. …”
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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…Neural networks (NNs) and random forest (RF) classifiers were used to evaluate the proposed approach on a recent urban land cover dataset of nine different classes. …”
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Evolution of dispersal and the ideal free distribution by Robert Stephen Cantrell, Chris Cosner, Yuan Lou

“…A general question in the study of the evolution of dispersalis what kind of dispersal strategies can conveycompetitive advantages and thus will evolve.We consider a two species competition modelin which the species are assumed to have the same population dynamics but different dispersal strategies.Both species disperse by random diffusion and advection along certaingradients, with the same random dispersal rates but different advectioncoefficients.We found a conditional dispersal strategy which results in the ideal free distribution of species,and show that it is a localevolutionarily stable strategy.We further show that this strategyis also a global convergent stable strategyunder suitable assumptions, and our resultsillustrate how the evolution of conditional dispersal can lead to an ideal free distribution.The underlying biological reason is thatthe species with this particular dispersal strategy can perfectly match the environmentalresource, which leads to its fitness being equilibrated across the habitats.…”
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Parental attention patterns to ask children to study in the Covid-19 pandemic by Buhaerah Buhaerah

“…The sample of this study is class VII.4 taken from the population using cluster random sampling technique by choosing one class at random from the whole class. …”
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Perbedaan Tingkat Kecemasan Matematika, Kecerdasan Matematis Logis, dan Kecerdasan Spiritual terhadap Penyelesaian Pembuktian Matematika by Rizqona Maharani

“…Sampel diambil secara random menggunakan teknik cluster random sampling. …”
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Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation by Zhoujing Ye, Yang Lu, Linbing Wang

“…A quarter vehicle model was used for the determination of the vehicle moving load. Both random and spatial characteristics of the load were considered. …”
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Probabilistic genotype-phenotype maps reveal mutational robustness of RNA folding, spin glasses, and quantum circuits by Anna Sappington, Vaibhav Mohanty

“…In all three cases, we observe a biphasic robustness scaling which is enhanced relative to random expectation for more frequent phenotypes and approaches random expectation for less frequent phenotypes. …”
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Wavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural Network by Mingzhu Li, Zhiqian Wang, Jun Luo, Yusheng Liu, Sheng Cai

“…The experiment demonstrates that it is efficient for denoising VPVS polluted by the trend and random noise.…”
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Complexity of a Microblogging Social Network in the Framework of Modern Nonlinear Science by Andrey Dmitriev, Vasily Kornilov, Svetlana Maltseva

“…We offer a new model of a microblogging social network as a nonlinear random dynamical system with additive noise in three-dimensional phase space. …”
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On Individual Repositioning Distance along Platform during Train Waiting by Fabien Leurent, Xiaoyan Xie

“…Walking speed and target position are modeled as individual factors, and in-station distances as random variables. Service timetable is exogenous. …”
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Bearing Feature Extraction Method Based on the Time Subsequence by Wang Dexue, Nie Fei, Zheng Zhifei, Yu Yongsheng

“…Finally, the dictionary is used as a new feature and input into the random forest classifier for training and learning. …”
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Probabilistic Dynamics for Integrated Analysis of Accident Sequences considering Uncertain Events by Robertas Alzbutas

“…The lack of treatment of dynamic interactions between the physical processes on one hand and random events on the other hand causes the limited assessment. …”
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Faktor-Faktor yang Memengaruhi Keterpilihan Perempuan di Dewan Pewakilan Rakyat Daerah Kota Medan pada Pemilu 2019 by Sri Rahayu, Arif Nasution, Arifin Saleh

“…The sampling method used was proportional stratification random technique (startified proportional random sampling), obtained 100 samples from 192,315 populations. …”
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