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  1. 4221

    THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

    Published 2015-03-01
    “…Dosing processes in mixture producing aggregates for receiving dry dispersed compositions of various kinds are considered as a research plant. …”
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  2. 4222

    Characteristics of soil quality attributes under different agroecosystems and its implications for agriculture in the Choke Mountain watershed in Ethiopia by Demeku MESFIN, Engdawork ASSEFA, Belay SIMANE

    Published 2024-06-01
    “…However, all properties were variable with coefficients of variation from 7% (total porosity) to 169% (available P) across the AES. …”
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  3. 4223

    The role of psychological capital and self-regulation in students\' academic enthusiasm with the mediation of Whit-Kin\'s cognitive styles (case study: 16-18-year-old secondary sch... by Fatemeh Ozbakpoor, Fatemeh Soghra Karbalaei Harafteh, Samaneh Salimi

    Published 2024-09-01
    “…Data analysis methods included composite data analysis and multiple regression modeling with the least squares pattern using the Sobel test, performed with SPSS version 20 and LISREL software. …”
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  4. 4224

    Combined Risk Stratification With Patient Characteristics and Biomarkers in Patients Treated With the Impella for Cardiogenic Shock by Yuichi Saito, Yuki Shiko, Kazuya Tateishi, Koichi Toda, Goro Matsumiya, Yoshio Kobayashi

    Published 2025-05-01
    “…The model was also tested if applicable to composite outcomes of in‐hospital death and major complications. …”
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  5. 4225

    Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

    Published 2025-12-01
    “…To address the inaccuracies and inefficiencies of pepper impurity rates detection caused by complex material compositions and variable harvesting environments, this paper proposes a detection technique based on deep and machine learning algorithms. …”
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  6. 4226

    Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

    Published 2024-11-01
    “…Shearer as the key equipment of fully mechanized mining face, its improvement of the intelligence level plays an important role in improving the construction of the coal-mine intelligence. At present, composite sensing and fine monitoring technologies have increasingly become the mainstream direction of the development of intelligent shearer, resulting in a significant increase in the amount of data required to monitor, and higher requirements for the data management system of shearer are put forward. …”
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  7. 4227

    Predictors and development patterns of approximal caries: a retrospective cross-sectional radiographic assessment by Fatma Yilmaz

    Published 2025-04-01
    “…Lesion depth (E1, D2, D1, D2 or D3) was also recorded and associated with restoration type (amalgam, composite or crown) and adjacent surface status. The Pearson chi-square and Kappa statistic tests were used to examine the relationships between categorical variables (p < 0.05). …”
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  8. 4228

    Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

    Published 2025-01-01
    “…Methods: From December 2010 to December 2022, HN patients diagnosed by renal biopsy in Xijing Hospital were enrolled and randomly divided into training set and testing set at a ratio of 7∶3. The study’s composite endpoint was defined as a ≥50% decline in estimated glomerular filtration rate (eGFR), end-stage renal disease, or death. …”
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  9. 4229

    Correlation between hs-CRP-triglyceride glucose index and NAFLD and liver fibrosis by Yuhui Zhou, Hao Lin, Xiaochun Weng, Huifang Dai, Jing Xu

    Published 2025-04-01
    “…Methods This is a cross-sectional study utilizing data from NHANES during the period from 2017 to 2020. The composite CTI was calculated through the formula: 0.412×Ln [(high-sensitivity C-reactive protein(hs-CRP)] + Ln(triglycerides × fasting plasma glucose/2). …”
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  10. 4230

    The influence of women's groups mobilisation on health emergency response: Evidence from the Ebola outbreak in Liberia. by Florence Wullo Anfaara, Erica S Lawson, Kilian Nasung Atuoye, Isaac Luginaah

    Published 2025-01-01
    “…<h4>Methods</h4>We fitted multivariate multinomial logistic regression models to cross-sectional data (n = 1,340) collected in five counties in Liberia. We built a composite model from community response strategies that participants reported witnessing. …”
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  11. 4231

    An Analysis of Regional Ozone Pollution Generation and Intercity Transport Characteristics in the Yangtze River Delta by Yu Cao, Jinghui Ma, Xiaoyi Wang, Juanjuan Bian

    Published 2025-01-01
    “…This study applies the Texas Commission on Environmental Quality method to assess the spatial distribution of regional background and locally generated ozone concentrations, while using a composite analysis to examine the wind and temperature field characteristics during typical years of high ozone transport and local generation episodes. …”
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  12. 4232

    The impact of knowledge management strategies on sustainable supply chain performance with an emphasis on eco-innovation (case study: personnel of small and medium enterprises in s... by Mohsen Shafiei Nikabadi, Alireza Moghaddam, Parastoo Toorani, Ali Akbar Najar

    Published 2024-12-01
    “…Its reliability was established using Cronbach's alpha and composite reliability. The questionnaire was distributed among 200 employees of small and medium-sized enterprises (SMEs) in Semnan province using a judgmental and purposive sampling method. …”
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  13. 4233

    Predicting the role of socio-economic indices for the Human Development Index based on a multivariate regression model by Zainab Alimoradi, Mark D. Griffiths, Mehran Alijanzadeh

    Published 2025-04-01
    “…The purpose of the present study was to investigate the correlations between social and economic indicators and the Human Development Index (HDI), a summary composite measure of a country's average wellbeing. …”
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  14. 4234

    A Causal Inference Approach to Mediation Analysis in Vitreomacular Traction: How Much Does Traction Resolution Mediate Functional Outcomes? by Benedicte Lescrauwaet, Stijn Vansteelandt, Timothy L. Jackson, SriniVas R. Sadda, Luc Duchateau

    Published 2024-09-01
    “…Outcomes, assessed at month 24, included visual acuity improvement (VA-I): ≥2-line increase in VA; visual function questionnaire improvement (VFQ-I): ≥5-point increase in the 25-item visual function questionnaire composite score (VFQ-25cs); visual function improvement (VF-I): defined as either a VA-I or a clinically meaningful improvement in the VFQ-25cs. …”
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  15. 4235

    Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers by Ling Lei, Liang He, Tongjuan Zou, Jun Qiu, Yi Li, Ran Zhou, Yao Qin, Wanhong Yin

    Published 2025-01-01
    “…Logistic regression analysis was conducted for variable selection and nomogram model construction. …”
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  16. 4236

    Screening for Caregiver Stress in an Urban Medical Home for Children with Medical Complexity: Results of a Pilot Study by Courtney L. Horton, Julie E. Heier, John R. Barber, Nicola Brodie

    Published 2025-03-01
    “…Elevated scores prompted referrals to the CCP psychosocial team, and composite scores were recorded in the electronic medical record. …”
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  17. 4237

    Optimization of process parameters for cellulose nanocrystals derivative from coconut shell by Dennis O. Bichang’a, Isiaka O. Oladele

    Published 2025-10-01
    “…A two-level factorial design based on Face-centred central composite design (FCCD) of the response surface methodology (RSM) was used to validate an empirical model. …”
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  18. 4238

    A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

    Published 2025-07-01
    “…The dataset consists of radar composite reflectivity mosaics over North China within the range of 116.10–117.50°E and 37.77–38.77°N, collected from June to September during 2018–2022. …”
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  19. 4239

    Potassium Isotope Evidence for Origin of Archean TTG Rocks From Seawater‐Hydrothermally Altered Oceanic Crust by D.‐Y. Xiong, X.‐L. Wang, W. Li, Y.‐F. Zheng, C. R. Anhaeusser, A. Hofmann, D. Wang, J.‐Y. Li

    Published 2025-01-01
    “…The distinct K‐O isotope signatures demonstrate that the hydration of Archean mafic crust is caused by the hydrothermal alteration at mid‐ocean ridges during seafloor spreading. The variable K‐O isotope compositions in the Archean TTGs signify a series of processes that are dominated by the seawater‐hydrothermally altered AOC in a Wilson cycle from divergence through convergence to rifting of Archean oceanic plates. …”
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  20. 4240

    Modeling and optimization of essential oils and extracts for meat quality evaluation during storage, with high-performance liquid chromatography analysis of aflatoxin levels by Sarah Alharthi, Sarah Alharthi, Rokayya Sami, Hilary Uguru, Ruqaiah I. Bedaiwi, Awatif M. Almehmadi, Suzan A. Abushal, Roqayah H. Kadi, Buthaina M. Aljehany, Eman A. Abduljawad, Abeer A. Aljehani, Sarah S. Aggad, Sarah A. Alasmari, Dalal A. Alkhudhayri, Fayez Alsulaimani, Fayez Alsulaimani, Ahmed M. Basri, Ahmed M. Basri

    Published 2025-07-01
    “…The dried meat (beef) samples were treated with onion peels extract (OPE), onion peels oil (OPO), plantain peels extract (PPE), and plantain peels oil (PPO), in accordance with concentrations and hybridization levels, provided by Central Composite Design (CCD) model. Two basic independent variables – treatment type and storage time – were evaluated, to establish their impact on six responses: total bacterial viable content (TBC), Staphylococcus aureus, Salmonella spp., total viable fugal content (TFC), aflatoxin B1 and aflatoxin B2. …”
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