Black Carbon Exposure Characteristics in Diesel Engine Vehicle-related Jobs by Sangjun Choi, Ju-Hyun Park, Won Kim, Seung Won Kim, Kyong-Hui Lee, Taejin Chung, Jihoon Park, Seung-Hun Ryu, Jungah Shin, Dong-Hee Koh, Dong-Uk Park

“…After accounting for the random effects of the individual workers and working dates (evaluated per occupation) as well as the fixed effects of the determinants and their pairwise interaction terms (p < 0.001), we found that all four of the determinants significantly differed in their associated levels of BC exposure. …”
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A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo, Nam-Jin Chung

“…This study addresses these limitations by employing an integrative approach combining hierarchical clustering, Principal Component Analysis–Linear Discriminant Analysis (PCA-LDA), and Random Forest (RF) to analyze the compiled morphological datasets. …”
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Efficacy and safety of immune checkpoint inhibitors in elderly patients with advanced non-small cell lung cancer: a systematic review and meta-analysisResearch in context by Jiacheng Yao, Sihan Li, Lu Bai, Jun Chen, Chengbo Ren, Tingting Liu, Jingping Qiu, Jun Dang

“…The primary outcome of interest was overall survival (OS). A random-effects model was used for the statistical analysis. …”
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Enhancing heart and circulatory well-being through optimized radial artery techniques: a meta-analysis of hemostasis and patient comfort by Yanru Yang, Hongyan Zhu, Guangyao Zai

“…Data from 13 studies were analyzed using R 4.1.2 with fixed-effects and random-effects models. The Newcastle-Ottawa Scale assessed the risk of bias in observational cohort studies.ResultsIn our meta-analysis, we evaluated data from various studies encompassing different air volumes in transradial band devices across several outcomes including bleeding, hematoma, radial artery occlusion (RAO), Visual Analog Scale (VAS) scores, and compression time. …”
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Folic acid supplementation during preconception period in sub-Saharan African countries: A systematic review and meta-analysis. by Mekuriaw Nibret Aweke, Elsa Awoke Fentie, Muluken Chanie Agimas, Lemlem Daniel Baffa, Ever Siyoum Shewarega, Aysheshim Kassahun Belew, Esmael Ali Muhammad, Berhanu Mengistu

“…The certainty of evidence was assessed using the GRADE approach. A random-effects model was used to estimate the pooled proportion of FA supplementation during the preconception period in sub-Saharan African countries.…”
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Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies by Mu-Hsing Ho, Yi-Wei Lee, Lizhen Wang

“…Data on cognitive impairment prevalence were pooled using a random-effects model. The primary outcome was pooled estimated proportions of prevalence of the post-intensive care cognitive impairment. …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…Subsequently, the prediction model was developed and internally validated using five machine learning (ML) algorithms including lasso and elastic-net regularized generalized linear model (glmnet), k-nearest neighbors (kNN), support vector machine (SVM) with Radial Basis Function Kernel, random forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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An Unusual Case of Ototoxicity with Use of Oral Vancomycin by Umut Gomceli, Srija Vangala, Cosmina Zeana, Paul J. Kelly, Manisha Singh

“…On day four, a serum random vancomycin level obtained 24 hours after the last dose was detectable at 2 mcg/dl. …”
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Variation characteristics and influencing mechanisms of CO2 flux from grassland ecosystem in the Central Tianshan Mountains, China by Kun Zhang, Yu Wang, Ali Mamtimin, Yongqiang Liu

“…Multiple environmental factors were integrated for an attribution analysis of CO2 flux using advanced systems, including random forest model, hyperbolic tangent model, future scenario simulation, and stepwise multiple regression model. …”
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Mental health service satisfaction among adults with mental illness attending a psychiatric outpatient clinic: a cross-sectional study by Wondale Getinet Alemu, Wondale Getinet Alemu, Lillian Mwanri, Clemence Due, Telake Azale, Anna Ziersch

“…Participants were selected using systematic random sampling with a sample interval of three, resulting in a total sample size of 638 invited to participate. …”
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Effect of Mirror Image Therapy Combined with Whole Body Vibration Training on Unilateral Spatial Neglect after Stroke by YANG Keqin, ZHANG Li, ZHANG Chunyan, CHEN Chengcheng, QI Hui, ZHAO Bin

“…After the hospital ethics committee approvaled, 90 eligible patients were included. According to the random grouping method, participants were divided into mirror image therapy group, whole body vibration training group and combination group, with 30 cases in each group. …”
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Faktor-Faktor yang Berhubungan dengan Kejadian Obesitas pada Mahasiswa Fakultas Ilmu Kesehatan Universitas Pembangunan Nasional “Veteran” Jakarta by Fairy Amara Rahadian, Utami Wahyuningsih, Sintha Fransiske Simanungkalit

“…Metode pengambilan responden menggunakan teknik stratified random sampling. Data dikumpulkan menggunakan kuesioner dan pengukuran antropometri yang kemudian dianalisis menggunakan uji Chi-Square. …”
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Development of data-driven algal bloom alert models with low temporal resolution data and application to Hong Kong rivers by Shujie Xu, Zhongnan Ye, Shu-Chien Hsu, Xiaoyi Liu, Chunmiao Zheng

“…New hydrological insights for the region: Models that integrate data discretization outperformed those using numerical normalization, showing higher recall scores and greater stability across selected algorithms (linear regression, support vector machine, random forest, and decision tree). Permutation importance analysis identified nitrogen compounds and rising temperatures as key triggers of algal blooms, while false negative analysis highlighted total phosphorus and flow as critical factors. …”
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Incidence of cancer-related lymphoedema: a protocol for a living systematic review with meta-analysis by Nele Devoogdt, Hildegard Reul-Hirche, Kira Bloomquist, Michael Bernas, Ben Singh, Sandi Hayes, Melanie Plinsinga, Debbie Geyer, Louise Koelmeyer, Neil Piller, Stanley Rockson

“…The overall strength of evidence will be appraised with the Grading of Recommendations, Assessment, Development and Evaluations tool. Random effect models will be used to produce pooled overall lymphoedema incidence estimates. …”
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A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

“…This study proposes the CNN-RF method, which combines a convolutional neural network (CNN) as a feature extractor and a random forest (RF) as a classifier. The experiment used combinations of input data, including variations of single and multisource data, to achieve optimal results. …”
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Long-Term Assessment of Soil Salinization Patterns in the Yellow River Delta Using Landsat Imagery from 2003 to 2021 by Yu Fu, Pengyu Wang, Wengeng Cao, Shiqian Fu, Juanjuan Zhang, Xiangzhi Li, Jiju Guo, Zhiquan Huang, Xidong Chen

“…In this study, we constructed and evaluated three soil salinization indices—NDSI, SI, and S5—using measured soil conductivity data and three machine learning methods: Random Forest, Support Vector Machine, and XGBoost. …”
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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…Utilizing five machine learning models, namely linear regression (LR), least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGBoost), random forest (RF), and support vector regression (SVR), we constructed inversion models. …”
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Assessment of vegetation in Murchison falls national park five years after the completion of oil and gas exploration by Hindrah Akisiimire, William Tinzaara, Keneth Tumwebaze, Charles K.Twesigye

“…We counted all observed plant species following a systematic random sampling technique using a (1mx1m) quadrat for herbs, (5mx5m) quadrat for shrubs, and (10mx10m) quadrat for trees. …”
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Additive interaction of conjoint tobacco smoking and heavy drinking on hypertension prevalence in rural Uganda: a community-based cross-sectional study by Paineto Masengere, Nynke Halbesma, Rawlance Ndejjo, Bonny Enock Balugaba, Rhoda K. Wanyenze, Fred Nuwaha, Hilde Bastiaens, Geofrey Musinguzi

“…Methods We analysed data collected between December 2018 and January 2019 from 4,372 adults aged 25–70 from 3,689 random households in the Mukono and Buikwe districts, Uganda. …”
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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors by M. Rehman, M. Kamal, S. Tiwari

“…The sampling method employed was a combination of stratified and random sampling. Stratified sampling was used to ensure that various demographic segments (e.g., different age groups, genders, and education levels) were proportionately represented in the survey. …”
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