Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset. by Gadir Alomair

“…The research involved a comparative evaluation of several models, including Poisson, NB, zero-inflated Poisson (ZIP), hurdle Poisson, zero-inflated negative binomial (ZINB), hurdle negative binomial, random forest (RF), support vector machine (SVM), and artificial neural network (ANN) on an insurance dataset. …”
Get full text

EFFECT OF ACADEMIC STAFF UNION OF UNIVERSITIES STRIKE ON THE PSYCHOSOCIAL WELLBEING OF UNDERGRADUATES IN LAGOS STATE, NIGERIA by Omozusi Mercy Omosefe, William Oluwaseyi Emmanuel, Joy Tinuade Adeyanju

“…This study examined the effect of ASUU strikes on the psychosocial well-being of university students in Nigeria.A descriptive survey research design was adopted for the study and the target population were undergraduate students of University of Lagos. A simple random sampling was used to select 396 students as respondents for the study. …”
Get full text

Filtering in the presence of information losses based on the extended least squares method by V. M. Artemiev, A. O. Naumov

“…In radar systems for moving objects tracking, there are often gaps in the measurement of coordinates.The problem is mostly fully solved in continuous time in the theory of systems with a random structure within the  framework of  statistical  Bayesian theory of  filtration  in  the  presence  of  complete  a  priori  statistical information. …”
Get full text

Hubungan Massa Lemak dengan Dismenore Primer pada Remaja Putri di Stikes Ceria Buana Bukittinggi by Lini Gustini, Nur Indrawaty Lipoeto, Bobby Indra Utama

“…Jumlah subjek dalam penelitian ini adalah 106 orang yang diambil secara simpel random sampling. Hasil penelitian ini diuji dengan menggunakan uji statistik t-test. …”
Get full text

Assessing species interactions using integrated predator-prey models by Paquet, Matthieu, Barraquand, Frédéric

“…We further confirm that adding random temporal variation to multispecies density-dependent link functions does not alter these results. …”
Get full text

Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. …”
Get full text

Comparison of Stress, Anxiety, and Depression Levels in Nurses in Specialized and General Ward by Mahdi Khani, Fazlollah Ahmadi, AliAkbar Rasekhi, Yousef Mohammadpour

“…Materials and Methods: This descriptive-analytical study was conducted in 2023 on 135 nurses in specialized units and 219 nurses in general units selected through stratified random sampling out of 1681 nurses. For this study, 6 public hospitals in the West Azerbaijan province of Iran were selected. …”
Get full text

Analisis Kemampuan Metakognisi Pada Pemecahan Masalah Matematis Terhadap Kreativitas Belajar Siswa by Adinda Permata, Solehudin Solehudin, Hamdan Sugilar

“…Teknik analisis data yang digunakan yaitu dengan penarikan kesimpulan dan penyajian data dari random sampling yang dipakai dari 18 siswa. Hasil dari analisis data tersebut memiliki aspek-aspek yang dipenuhi dari lima tahapan yang diuji dan aspek pemecahan masalah matematis siswa terhadap kreativitas belajar siswa memenuhi kepada kemampuan metakognisinya…”
Get full text

Examining the comprising constituencies of citizen\'s Mental Image of Urban Places with emphasis on phenomenology and environmental psychology approaches Case study: 1th and 18th d... by mohammad Taghi Razavian, Zhila Sajadi, Morteza Ghourchi, zohreh mohammadganji

“…According to the type of research (descriptive -survey), 100 residents of Tajrish and 120 residents of Shahrak-e-Valiasr were selected by simple random method. Dependent variable is "Residentschr('39') mental image of urban places" (twenty indicators derived from theories proposed in phenomenological and environmental psychology approaches) and independent variables are including respondent individual characteristics (age, gender, occupation, education, marital status,…) . …”
Get full text

Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…The results show that the XGBoost model can improve the accuracy of the generation of waybill to 90.5% compared with the decision tree model, random forest, and GBDT. Moreover, the density clustering model can discover the hot nodes of construction waste transportation. …”
Get full text

Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

“…Using 972 datasets consisting of five emission sources and 27 air pollutants, different classification models were implemented and subsequently compared: Random Forest (RF), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), Artificial Neural Network (ANN), and K-Nearest Neighbors (K-NN). …”
Get full text

Multi scenario chaotic transient search optimization algorithm for global optimization technique by Ibrahim Mohamed Diaaeldin, Hany M. Hasanien, Mohammed H. Qais, Saad Alghuwainem, Othman A. M. Omar

“…Nine CMs integrated into the TSO to improve its search capabilities by applying various scenarios for improving the TSO random numbers. Further, the proposed CTSO was compared with the original TSO using the Wilcoxon p-value test, non-parametric sign test, t-test, convergence curves, and elapsed time. …”
Get full text

Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers by Karissa Chan, Corinne Fischer, Pejman Jabehdar Maralani, Sandra E. Black, Alan R. Moody, April Khademi

“…The 15 most important biomarkers for subgroup differentiation, identified via Random Forest classification, were used to generate biomarker profiles. …”
Get full text

Suppression of monocyte and neutrophil function by recombinant IL-2 by Susan E. Smith, Gayle D. Warren, Yee-Hing Thong, Joe G. McCormack

“…IL-2 had no effect on neutrophil migration, phagocytosis, deoxyglucose uptake or degranulation, ionocytes demonstrated a greater sensitivity to IL-2 with suppression of monocyte adherence, random and stimulated migration, glucose uptake and hexose monophosphate shunt activity, even after addition of phorbol myristate acetate. …”
Get full text

Household level fuelwood use and carbon dioxide emissions in Delanta district, Northeastern Ethiopia by Abebaw Sintayehu Eshetu

“…Consequently, there is limited understanding of CO2 emissions resulting from fuelwood use.MethodsThis study aimed to estimate the annual amount of fuelwood collected and the associated CO2 and carbon (C) emissions. Using simple random sampling for household selection, data were analyzed with Excel and Stata.ResultsThe results reveal that fuelwood dependency is a major driver of deforestation and CO2 emissions, with households consuming approximately 2,725 kg of firewood and 26 kg of charcoal annually. …”
Get full text

Sociodemographic Determinants of Nonattendance in a Population-Based Mammography Screening Program in the City of Manisa, Turkey by Pınar Erbay Dundar, Beyhan Cengiz Ozyurt, Koray Erdurak

“…For the evaluation of the reasons for refusing to participate in the study, two districts were selected. 446 women aged between 50 and 69 years were selected from the program database by systematic random sampling. Methods. The questionnaire consisted of sociodemographic variables and the adapted version of Champion's Health Belief Model Scale. …”
Get full text

Assessment of leachate-contaminated clays using experimental and artificial methods by Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, Mohsen Keramati, Sumi Siddiqua

“…Forensic-based investigation optimization (FBIO) and equilibrium optimizer algorithm (EOA) were utilized in addition to multiple types of ensemble models, including adaptive boosting (ADB), gradient boosting regression tree (GBRT), extreme gradient boosting (XGB)) and random forest (RF). The comparison of the methods showed that GBRT-FBIO and XGB-EOA models outperformed other models for shear modulus and damping of LCC. …”
Get full text

Leaf Classification for Sustainable Agriculture and In-Depth Species Analysis by Sara Mumtaz, Shabbab Algamdi, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu

“…A Gaussian distribution-based classifier is subsequently utilized, achieving an accuracy of 92%, while a Random forest classifier applied to the Grapevine Leave Dataset resulted in an accuracy of 84.63%. …”
Get full text

Relationship of Work Tasks Motivation, Teaching self-efficacy and Teaching Emotions with Psychological Well-being in Teachers by Faezeh Khatami, Hossein Jenaabadi, Afsaneh Marziyeh

“…From this population, a random sample of 235 teachers was selected in accordance with the Morgan table. …”
Get full text

Assessing the Level of Awareness on Wash Related Diseases in Kaliro Town Council Kaliro District, Uganda. Masanja Alex by Masanja, Alex

“…The study research design was cross sectional in nature Both qualitative and quantitative methods were employed to collect data. 295 members formed the target population while the simple random sampling was used to select the respondents. …”
Get full text