Enhancing community-based earthquake disaster management: resident preferences and adaptive capacity for resilience by Bih-Chuan Lin, Chun-Hung Lee

“…This study employs the Choice Experiment (CE) method within an adaptive capacity framework to “quantify residents’ preferences, adaptive behaviours, and willingness to participate (WTP)” in CBEDM scenarios. Using the Random Parameter Logit (RPL) model, the research reveals strong community support for CBEDM programs and highlights three key findings: first, “collaboration between local governments, non-profits, and communities enhances disaster preparedness and post-disaster recovery”; second, “active community participation reduces disaster impact and raises awareness”; third, “empowering social organizations ensures efficient recovery services and social inclusion.” …”
Get full text

Key factors influencing school violence in Peruvian emblematic schools post-pandemic by Hilda Beraun-Vasquez, Eugenia Fabian-Arias, Maribel Ruiz-Balvin

“…A quantitative and explanatory study was conducted with a sample of 1,656 students, aged 12 to 18, selected through simple random sampling. Data collection instruments included a questionnaire for assessing various factors and the School Bullying and Violence Test (AVE) for measuring school violence. …”
Get full text

A distributed algorithm for maximizing utility of data collection in a crowd sensing system by Qinghua Chen, Zhengqiu Weng, Yang Han, Yanmin Zhu

“…On the one hand, the utility of sensing data from a smartphone is usually dependent on its context which is random and varies over time. On the other hand, because of the marginal effect, the sensing decision of a smartphone is also dependent on decisions of other smartphones. …”
Get full text

Wind-Induced Response of an L-Shaped Cable Support Glass Curtain Wall by Yan Yu, Tao Liu, Qilin Zhang, Bin Yang

“…Time-domain vibration analysis of the curtain wall is carried out with the random sequence of multinode fluctuating wind velocity time history simulated by autoregressive linear filtering method based on Kaimal wind velocity spectrum. …”
Get full text

The Relationship Between Literacy and Numeracy Skills of Prospective Primary Education Teachers by I Gede Ratnaya, Siti Nurul Fitriani, Helfa Durasa, Erlin Erlin

“…The sampling technique used simple random sampling, so 78 prospective primary education teachers were obtained as research samples. …”
Get full text

Gaussian Mixture Model-Based Vector Approach to Real-Time Three-Dimensional Path Planning in Cluttered Environment by Abera Tullu, Yunsang Cho, Sangho Ko

“…The path planner is also compared with rapidly exploring random tree and shows better performance in optimal path and low computational time. …”
Get full text

Relationship between Personality Traits and Readiness for Substance Abuse by Hossein Mahmoodi, Hassan Heidari, Mansour Abdi

“…The sample, comprising 400 participants (200 women and 200 men), was chosen through stratified random sampling. The research utilized four standardized questionnaires for data collection purposes. …”
Get full text

Determining optimum assembly zone for modular reconfigurable robots using multi-objective genetic algorithm by Ravikiran Pasumarthi, S. M. Bhagya P. Samarakoon, Mohan Rajesh Elara, Bing J. Sheu

“…Simulations and physical experiments demonstrated the effectiveness of the proposed method in determining assembly zones, with GA outperforming multi-objective pattern search and random selection in terms of total distance and individual distances traveled by the robots.…”
Get full text

Skipping Breakfast Is Associated with Hypertension in Adults: A Meta-Analysis by Zishuo Li, Hongli Li, Qin Xu, Yanli Long

“…Observational studies which evaluated the relationship between skipping breakfast and hypertension in adult population with multivariate analyses were identified by systematic search of PubMed, Embase, and Web of Science databases. A random-effect model which incorporated the potential intrastudy heterogeneity was used for the meta-analysis. …”
Get full text

The Effect of Creating a Sense of Individual and Collective Psychological Ownership of the Brand in Online Communities on Buying Behavior and Online Word-of-Mouth Advertising by Yazdan Shirmohammadi, Jahan Rajabi

“…The sampling method of this study was random, and its number was 384 people. The assessment tool in this study was a researcher-made questionnaire. …”
Get full text

Determinants of Demand and Participation by Poultry Farmers in Formal and Informal Credit Markets in Cross River State, Nigeria by Udeme Henrietta Ukpe, Bethel Fidelis Ewung

“…Therefore, this study was undertaken to analyse factors affecting the demand and participation of agro-entrepreneurs, particularly poultry farmers, in formal and informal credit markets in Cross River State, Nigeria. Purposive and random sampling techniques were used to select 295 poultry farmers. …”
Get full text

Named Entity Recognition Method Based on Multi-Feature Fusion by Weidong Huang, Xinhang Yu

“…The model also leverages multi-head attention for feature fusion, and the final results are decoded using a Conditional Random Field (CRF) layer. The model achieves an F1 score of 86.8383% on a collected dataset of online reviews containing eight entity categories. …”
Get full text

Perbandingan Kerja Binomial GLMM Tree dan BIMM Forest untuk Memodelkan Status Bekerja Penduduk by Dwi Agustin Nuriani Sirodj, Khairil Anwar Notodiputro, Bagus Sartono

“…Selanjutnya metode alternatif lainnya adalah Binary Mixed Model (BiMM) Forest yang menggabungkan prinsip kerja Bayesian GLMM dan Random Forest. Dari kedua metode yang akan digunakan maka permasalahan yang dihadapi adalah bagaimana kinerja dari metode GLMM Tree dan BiMM Forest jika diterapkan untuk klasifikasi status bekerja  penduduk di Kabupaten Bogor dan Kabupaten Pangandaran. …”
Get full text

Public Perception of Environmental Pollution in Warri, Nigeria by AA Obafemi, OS Eludoyin, BM Akinbosola

“…Data were acquired by administering questionnaire among the residents of study area using random sampling method and descriptive statistics was used to explain the frequencies of variables being expressed in percentages. …”
Get full text

Optimal Configuration Method of Sampling Points Based on Variability of Sea Surface Temperature by Chang Liu, Yuning Lei, Feng Gao, Meizhen Zhao

“…Results show that the proposed optimal configuration method of sampling points significantly outperforms the traditional random sampling points distribution method in terms of reconstruction accuracy. …”
Get full text

The Relationship between Emotional Intelligence and Perception of Job Performance among Nurses in North West of Iran by Maryam Vahidi, Hossein Namdar Areshtanab, Mohammad Arshadi Bostanabad

“…Using a correlational descriptive design with stratified random sampling, 338 registered nurses from teaching hospitals in North West of Iran were surveyed. …”
Get full text

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms by Jong Wan Park, Chang Woo Ko, Diane Youngmi Lee, Jae Chul Kim

“…While most ML algorithms showed acceptable predictive capability, Random Forest Classifier and Gradient Boosting Classifier demonstrated superior performance. …”
Get full text

A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning by Bin Jia, Xiaohong Huang, Rujun Liu, Yan Ma

“…Through the comparisons with Random Forest, k-Nearest Neighbor (k-NN), and Bagging comprising the component classifiers when the three algorithms are used alone by SVD and by un-SVD, it is shown that our model is superior to the state-of-the-art attack detection techniques in system generalization ability, detection stability, and overall detection performance.…”
Get full text

Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms by Rivindu Weerasekera, Mohan Sridharan, Prakash Ranjitkar

“…As a step towards addressing these problems, this paper investigates the ability of Artificial Neural Networks, Random Forests, and Support Vector Regression algorithms to reliably model traffic flow at different data resolutions and respond to unexpected traffic incidents. …”
Get full text

A parallel CNN architecture for sport activity recognition based on minimal movement data by Huipeng Zhao

“…When the two sets of motion pointsets from each CNN are merged, the situation becomes more balanced, and the Random Forest classification model is able to identify the type of sports activity by detecting and classifying the features. …”
Get full text