A theory-based approach to explain the correlates of safe physical activity in pregnant and postpartum individuals by Asma T. AWAN, Kara N. RADZAK, Manoj SHARMA

“…Methods: In order to understand the factors that contribute to health behavior change for safe PA in pregnancy and postpartum, this cross-sectional study employed the fourth-generation multi-theory model (MTM) in individuals ages 18 years and older. …”
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FL-DBENet: Double-branch encoder network based on segment anything model for farmland segmentation of large very-high-resolution optical remote sensing images by W. Feng, F. Guan, C. Sun, W. Xu, W. Xu

“…The recent introduction of the Segment Anything Model (SAM), based on the Vision Transformer (ViT) architecture, has brought transformative advancements to remote sensing image analysis for farmland extraction. …”
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Bronchoalveolar Lavage Derived Fibroblasts From Interstitial Lung Disease Patients: A Chance to Exploit 2D/3D Model of Pulmonary Fibrosis In Vitro by Paolo Giannoni, Emanuela Barisione, Marco Grosso, Maria Bertolotto, Paola Altieri, Federico Carbone, Fabrizio Montecucco, Daniela de Totero

“…Conclusions: Collectively, the present study suggests that BAL-derived fibroblasts from ILD patients may serve as a useful in vitro model for studying and assaying pulmonary fibrosis. …”
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A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer by Ding H, Ke Z, Xiao X, Xin B, Xiong H, Lu W

“…Also, a predictive model was constructed to distinguish cervical cancer or HSCL from individuals with low risk.Keywords: cervical cancer, high-grade squamous intraepithelial lesions, methylation, predictive model, cancer risk…”
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Determinants of the factors affecting the governance structure choice of the pineapple value chain: A case study on market-based agroforestry in Bangladesh by Bapon Mankhin, Mst Esmat Ara Begum, Mohammad Shamsul Hoq, Mohammad Ismail Hossain

“…In order to choose individual participants, the study employed a stratified random sampling technique. Utilising a multivariate probit (MVP) model, the study reveals crucial factors like age, education, farming experience, farm size, market certainty, weather influence, market connection, and pre-delivery conditions. …”
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Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer by Wenlin Huang, Yong Xu, JinGe Liu, Tianle Cheng, Cheng Tang

“…Using the established prognostic model, patient samples were stratified into high-risk (HRG) and low-risk groups (LRG). …”
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The role of social capital as a mediator of the effectiveness of counseling on innovative behavior in increasing corn farmers' income in Bone Bolango Regency by Yanti Saleh, Yuriko Boekoesoe, Larasati Sukmadewi Wibowo, St. Aisyah R, Wawan K. Tolinggi, Mohammad Zubair Hippy

“…Methods: This research employed a quantitative approach. The data were collected through primary sources via the distribution of questionnaires to 175 farmers as per sampling requirements, as well as interviews and field observations. …”
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Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer by Fengqiang Cui, Changjiao Yan, Jiang Wu, Yuqing Yang, Jixin Yang, Jialing Luo, Nanlin Li

“…After that, we created a risk model, and in the low-risk samples, there was a relatively high survival rate. …”
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Analisis Kemampuan Literasi Informasi antara Anggota Ikatan Pustakawan Pelajar dan Non Anggota Pada Siswa SMAN 5 Malang Berdasarkan Model Empowering Eight by Marshanda Anta Azzarah, Adi Prasetyawan

“…The focus of this research is to determine the comparison in the analysis of information literacy skills based on the empowering eight model, as an effort in information seeking to complete paper assignments. …”
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Presenting a model for determining the level of technological complexity of research and development activities in knowledge-based companies (case study: companies based in Golesta... by Gholamali shahmoradi, Taghi Torabi, Reza Radfar, Mohammadhasan Cheraghali

“…Then, during three stages of coding (open, central and selective), the influential factors in determining the level of complexity were identified and the research model was formed. In the quantitative part, the data was collected from a sample of 290 people from the target statistical population (Golestan Science & Technology Park) through a researcher-made questionnaire. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…The present study investigates 34 demographic, behavioral, and hematological risk factors based on a sample of 2,000 patient data records. A multi-model machine learning approach compares nine algorithms: KNN, AdaBoost (AB), logistic regression (LR), random forest (RF), SVM, naive Bayes (NB), decision tree (DT), gradient boosting (GB), and stochastic gradient descent (SGD). …”
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Factors influencing patient safety competence among Chinese vocational nursing students: A mixed-methods study using COM-B model and theoretical domains framework by Lu Zhou, Yinsong Sun, Mingzhao Xiao, Runli Yang, Shuang Zheng, Jun Shen, Qinghua Zhao

“…Quantitative and qualitative data are mapped to the Capability, Opportunity, Motivation, Behavior (COM-B) model. …”
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Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers by Rokayah Rokayah, Riza Alfian, Yunita Nita, Hanni Prihhastuti Puspitasari

“…Methods: The method used was a cross-sectional quantitative survey with snowball sampling of 185 respondents at the Probolinggo Puskesmas in July-August 2024. …”
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Analysis of Flexibility, Strength, and Speed Using Dynamometer and Accelerometer Tests in Swimming Sports by Sungkowo, Tandiyo Rahayu, Bambang Widjanarko, Taufiq Arif Setyanto, Dewangga Yudhistira

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Green and blue infrastructure but not anthropogenic drivers affect invertebrate communities in urban ecosystems by Joeri Morpurgo, Roy P. Remme, Quinten D. Mudde, Emilie A. Didaskalou, Kornelia J. Serwatowska, Krijn B. Trimbos, Mingming Hu, Peter M. van Bodegom

“…By integrating DNA-based sampling with species distribution models (SDMs), we aim to quantitatively assess urban community assembly while using a novel green infrastructure classification framework intended to assess both urban biodiversity and ecosystem services.We sampled invertebrate distributions in The Hague, the Netherlands, using two complementary DNA-based methods: traditional bulk trapping (n = 205) and environmental DNA (eDNA) sampling (n = 207). …”
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Study on the Mechanical Properties of Q235 Steel Roof Trusses in Industrial Atmospheric Corrosive Environment by WANG Fenglu, HAN Tengfei, LI Yonglu, QU Yunong, ZHAO Liyong

“…In order to investigate the impact of corrosion on the mechanical performance of steel roof truss membersin an industrial atmospheric environment, appropriate strength degradation models and indices were selected to characterize the deterioration of steel material properties.Thirty Q235B corroded steel specimens were sampled on-site from a steel slag processing plant’s roof truss system.After processing, uniaxial tensile tests were conducted on the specimens.The mechanical performance degradation model of corroded steel was theoretically analyzed based on the residual load-bearing capacity assumption, and the significance of various strength degradation models was qualitatively evaluated.An equivalent strength degradation model and a comprehensive corrosion damage parameter were chosen to represent the strength degradation caused by corrosion.Finally,based on the tensile test data,the relationship between steel strength degradation and the comprehensive corrosion damage parameter was quantitatively analyzed.Results showed that equivalent yield strength and equivalent tensile strength decreased with increasing comprehensive corrosion damage parameters, with degradation rates of 0.89 and 1.21, respectively, suggesting that as corrosion progressed, the ratio of yield to tensile strength increased, rendering the steel more susceptible to brittle failure.Additionally, the elongation diminished with increasing corrosion damage, with a degradation rate of 1.29.…”
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Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma by Hao Lian, Yi‐Peng Han, Yu‐Chao Zhang, Yang Zhao, Shan Yan, Qi‐Feng Li, Bao‐Cheng Wang, Jia‐Jia Wang, Wei Meng, Jian Yang, Qin‐Hua Wang, Wei‐Wei Mao, Jie Ma

“…Here, we employed a trained stemness index model based on an existent one‐class logistic regression (OCLR) machine‐learning method to score MB samples; we then obtained two stemness indices, a gene expression‐based stemness index (mRNAsi) and a DNA methylation‐based stemness index (mDNAsi), to perform an integrated analysis of MB stemness in a cohort of primary cancer samples (n = 763). …”
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Examining the Relationships Among Teachers’ Work Engagement, Teamwork Attitudes, and Efficacy for Classroom Diversity by Bahadır Gülbahar, Gözde Sezen-Gültekin, Mesut Gün

“…The purpose of this quantitative research is to examine the relationships among teachers’ work engagement, teamwork attitudes, and efficacy for classroom diversity within the scope of structural equation modeling. …”
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THE EFFECT OF IMPLEMENTING THE PROBLEM-BASED LEARNING (PBL) MODEL WITH THE KIPIN SCHOOL 4.0 APPLICATION MEDIA ON THE LEARNING OUTCOMES OF SEVENTH-GRADE STUDENTS AT STATE JUNIOR HIG... by Nur Hidayah, Elsje Theodora Maasawet, Evie Palenewen, Makrina Tindangen

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Inappropriate use of statistical methods leads to unsupported conclusions about risk of plague to an imperiled chipmunk: A critique of Goldberg et al. (2022) by Jennifer K. Frey, Fiona E. McKibben, Matthew E. Gompper, Fitsum Abadi

“…We also recommend that researchers carefully consider the goals of their study and collaborate with statistical/quantitative ecologists to ensure that the study design is appropriate and capable of generating the necessary sample sizes. …”
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