On the Boundedness of the Numerical Solutions’ Mean Value in a Stochastic Lotka–Volterra Model and the Turnpike Property by Cutberto Romero-Meléndez, David Castillo-Fernández, Leopoldo González-Santos

“…Even though there are numerous results in the deterministic case, there are few results for the behavior of numerical solutions in a population dynamic with random fluctuations. First, we show, using the Euler–Maruyama scheme, that the boundedness of numerical solutions and the convergence of the scheme are preserved in the stochastic case. …”
Get full text

CubeSat’s Deployable Solar Panel with Viscoelastic Multilayered Stiffener for Launch Vibration Attenuation by Shankar Bhattarai, Hongrae Kim, Hyun-Ung Oh

“…The effectiveness of the proposed design for launch vibration attenuation was demonstrated through qualification level sine and random vibration tests.…”
Get full text

AN ERROR ANALYSIS OF THE TRANSFORMATION FROM DIRECT TO INDIRECT SPEECH by Zahratul Idami

“…With the intention of drawing representative sample, simple random sampling was applied. The data were in the form of students’ scores on the tests. …”
Get full text

Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

“…Benchmark simulations suggest that the structure of the Trotter circuits for the TMERA tensors is not decisive; in particular, brick-wall circuits and parallel random-pair circuits yield very similar energy accuracies.…”
Get full text

ASSESSMENT OF COMMERCIALIZATION OF PEARL MILLET AMONG FARMING HOUSEHOLDS IN SELECTED NORTHERN NIGERIA STATES by Sheu-Usman Oladipo Akanbi, Muhammed-Sanna Olanrewaju Moshood, Toyin B Ajibade, Adedayo Adekunle, Zainab Abdulrafiu

“…Multistage stratified random sampling procedure with replacement was employed to select 1,302 respondents for the study, the data was collected in 2020. …”
Get full text

Investigation of injury severity level in truck-related crashes at school zones using mixed generalized ordered models. by Junhan Cho, Sungjun Lee, Juneyoung Park

“…Moreover, in order to account for heterogeneity issue, the mixed-effects models with random parameters were used for the analysis. These models were constructed using data collected from school zones over a period of recent ten years. …”
Get full text

Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model by MA Congcong, LIU Dengfeng, HUANG Qiang, YANG Zhiyong, PAN Baozhu, LIN Mu

“…As the water environment system is random and fuzzy,and the cloud model proposed in the 1990s can flexibly realize the conversion of data and concepts,the model is gradually applied in water quality evaluation.Water quality evaluation is essentially a multi-attribute classification problem,and the Euclidean distance can well characterize the multi-attribute problem,which is also gradually applied in water quality evaluation.To compare the advantages and disadvantages of the variable-weighted Euclidean distance method and the evaluation method by the entropy-weighted cloud model in water quality evaluation,we utilize the water quality monitoring data of three major rivers in Shaanxi Province in 2020,i.e.…”
Get full text

Hubungan Faktor Motivasi Dengan Kinerja Perawat dalam Pendokumentasian Discharge Planning di Rumah Sakit Siti Rahmah Padang by Dewi Murni, Esthika Ariany Maisa, Nicen Suherlin

“…The proportional stratified random sampling method has been used with 74 respondents as the sample. …”
Get full text

In-service teachers' self-efficacy to practice inclusive education at public primary schools in the Amhara region: Implications for teacher education by Tsegie Genet Zegeye, Solomon Kassie Alem, Ayetenew Abie

“…Participants included 336 public primary school teachers selected using a stratified systematic random sampling technique. The teacher Efficacy for Inclusive Practice (TEIP) scale was administered to sample teachers. …”
Get full text

Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…Recent development of machine learning models has increasingly developed interest in forecasting and predicting the magnitude of earthquakes. In this work, Random Forest Regressor (RFR), Multi-Layer Perceptron Regressor(MLPR), and Support Vector Regression (SVR) models were employed to predict the magnitude of greater than 6 mb earthquakes that occurred in the year 2015 in the central Himalaya. …”
Get full text

Teacher-students interactions and Students’ attitude at international science faculty classes: in the context of biology and chemistry departments by Ratmanida Ratmanida, Honesty Yonanda Ayudhia, Fuad Nabil Adzanil, Meutia Herza Putri

“…This research is comparative research obtained through random sampling. The sample for this research was 88 students who were enrolled in the international class program at the science faculty. …”
Get full text

Core Competencies in Disaster Nursing among Nurses at a General Hospital in Coastal Areas by Rezka Bahlail, Irman Somantri, Adelse Prima Mulya

“…Samples were recruited using the simple random sampling technique. The data were collected using DNCCS and analyzed using univariate data analysis. 120 nurses who participated in this study had a higher score (mean = 246.52). …”
Get full text

Models to Assess the Effects of Nonsmooth Control and Stochastic Perturbation on Pest Control: A Pest-Natural-Enemy Ecosystem by Xuewen Tan, Wenjie Qin, Guangyao Tang, Changcheng Xiang, Xinzhi Liu

“…This paper investigates the impact of the threshold control strategy and environmental randomness on pest control. Firstly, a fixed-time impulsive stochastic ecosystem with IPM strategy is proposed, where the local and global existence of positive solution and the boundedness of expectation are discussed in detail. …”
Get full text

Adaptive Multihypothesis Prediction Algorithm for Distributed Compressive Video Sensing by Jinxiu Zhu, Ning Cao, Yu Meng

“…In the proposed framework, consistent block-based random measurement for each video frame is adopted at the encoder independently. …”
Get full text

FACTORS MILITATING AGAINST THE STUDENT’S PARTICIPATION IN SPORTS, LEISURE AND RECREATIONAL ACTIVITIES IN UNIVERSITY OF BENIN by GABRIEL E. ARAINRU, CHUKWUMA SUNDAY LATOR

“…The population for this study was 41,520 students of University of Benin. The random sampling technique was used in selecting 400 students for the research. …”
Get full text

Analyzes of the effects and security function social capital in sustainable rural border areas the villages of the central city of Saravan by Javad Bazrafshan, Mehrshad Toulabi Nejad

“…Statistical population including the villages of the central city of Saravan are heads of households (N= 9946). 421 households (23 villages) using Cochran formula and simple random sampling were selected. for the analysis data, descriptive and inferential statistics two methods (single sample t test, Pearson correlation and path analysis) is used. …”
Get full text

Perceptions of Poultry Farmers on the Use of Growth Enhancers in Poultry Production in Rivers State, Nigeria by Favour Alapu, Angela Emodi

“…The study examined the perceptions of poultry farmers on the use of growth enhancers in poultry production in Rivers State, Nigeria. Simple random sampling was used to select 120 farmers from each group of the twenty (20) poultry farmers groups in the FADAMA and RIV CARE projects in Rivers State. …”
Get full text

FACTORS PREDICTING COMMUNITY SUPPORT: THE CASE OF A SOUTH AFRICAN ARTS FESTIVAL by I. LOOTS, SURIA ELLIS, ELMARIE SLABBERT

“…A survey was done in 2007 at the Klein Karoo National Arts Festival (KKNK), which is one of the largest arts festivals in the country. A stratified random sampling procedure was followed in the community of Oudtshoorn, and 279 questionnaires were completed by residents. …”
Get full text

Distributed K-Means algorithm based on a Spark optimization sample. by Yongan Feng, Jiapeng Zou, Wanjun Liu, Fu Lv

“…SOSK-Means incorporates several key modifications to enhance the clustering process.Firstly, a weighted jump-bank approach is introduced to enable efficient random sampling and preclustering. By incorporating weights and jump pointers, this approach improves the quality of initial centers and reduces sensitivity to their selection. …”
Get full text

E-Commerce across Boarder Logistics Risk Evaluation Model Based on Improved Neural Network by Wei Qiao

“…In the traditional BP algorithm, the coincidence initialization of weights and thresholds is random, which reduces the efficiency of the algorithm on the one hand and affects the accuracy of the algorithm results on the other hand. …”
Get full text