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  1. 2801

    Retrieval of carbon and inorganic phosphorus during hydrothermal carbonization: ANN and RSM modeling by Abolfazl Shokri, Mohammad Amin Larki, Ahad Ghaemi

    Published 2024-12-01
    “…In this study, modeling and optimization of Hydrothermal Carbonization (HTC) of Poultry litter were conducted to convert it into high-value materials. The aim was to understand the process and predict the effect of the influencing parameters on the product properties. …”
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    Article
  2. 2802

    The effect of water soluble pentosanes on baking properties of winter rye by E. N. Shabolkina, A. A. Bisharev, N. V. Anisimkina, M. V. Belyaeva

    Published 2019-03-01
    “…Currently the research aimed to improve nutritional value and quality of rye bakery products to meet customers' needs is of great urgency. …”
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    Article
  3. 2803

    Evaluating the Development, Reliability, and Validation of the Tele-Primary Care Oral Health Clinical Information System Questionnaire: Cross-Sectional Questionnaire Study by Rosnah Sutan, Shahida Ismail, Roszita Ibrahim

    Published 2025-01-01
    “…The Kaiser-Meyer-Olkin value was 0.90 (P<.049). The total variance explained was 76.07%, and factor loading scores for all variables were >0.7. …”
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    Article
  4. 2804

    PENGARUH LEADER MEMBER EXCHANGE TERHADAP WORK ENGAGEMENT DI LEMBAGA PEMASYARAKATAN KELAS IIA YOGYAKARTA by Miftah Fragusti Arrazi, Kusmiyanti

    Published 2022-10-01
    “…Through several data analysis techniques such as normality test, simple linear regression test, significance test and determination test, it can be seen that there is an influence between LMX on work engagement of 15.9% while the remaining 84.1% is influenced by other variables not explained in the study. this. Based on the regression equation, it is formulated that changes in the value of LMX and work engagement in this study are directly proportional, which means that there will be an increase in the value of work engagement if LMX increases, and vice versa. …”
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    Article
  5. 2805

    Investigating the Relationship Between Islamic Work Ethics and Organizational Commitment and related factors in the Employees of Guilan University of Medical Sciences by Mitra Abolhasanpour Chelaras1, Morteza Rahbar Taramsari2, Maryam Ghalandari, Habib Eslami Kenarsari4 Eslami Kenarsari4

    Published 2025-07-01
    “…Results: A statistically positive and significant relationship was observed between the organizational commitment variables and each of its dimensions with work ethics (P-value < 0.001). …”
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    Article
  6. 2806

    Innovative activity of Polish enterprises – a strategic aspect. The similarity of NACE divisions by Edyta Bielińska-Dusza, Monika Hamerska

    Published 2021-01-01
    “…Purpose: The innovativeness of enterprises is dependent on many variables, including decisions regarding innovation, possessed resources and competences, and the sector of their activity. …”
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    Article
  7. 2807
  8. 2808

    Tumor-infiltrating lymphocytes in triple negative breast cancer by L. M. Zakhartseva, M. O. Yanovytska

    Published 2020-12-01
    “…The aim of this retrospective study is to assess the prognostic value of tumor-infiltrating lymphocytes in triple negative breast carcinomas that lack both estrogen, progesterone receptors and Her2 amplification. …”
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    Article
  9. 2809

    Automated Age Estimation from OPG Images and Patient Records Using Deep Feature Extraction and Modified Genetic–Random Forest by Gulfem Ozlu Ucan, Omar Abboosh Hussein Gwassi, Burak Kerem Apaydin, Bahadir Ucan

    Published 2025-01-01
    “…However, its effectiveness is challenged by methodological variability and biological differences between individuals. …”
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    Article
  10. 2810

    Analysis of performances and trends of PDO wine producers in large retail chains in Italy by Andrea Dominici, Francesca Gerini, Leonardo Casini

    Published 2024-05-01
    “…For this purpose, cluster segmentation was implemented using variables related to sales (value of sales, number of labels, average price, discount units, discount percentage, units sold above a certain price), and sales trends of each producer present in large retail chains with these products. …”
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    Article
  11. 2811

    Development and validation of a nomogram predicting multidrug-resistant tuberculosis risk in East China by Fang He, Shu Wang, Hua Wang, Xing Ding, Pengfei Huang, Xiaoyun Fan

    Published 2025-02-01
    “…Objective Multidrug-resistant tuberculosis (MDR-TB) is a global health threat. Our study aimed to develop and externally validate a nomogram to estimate the probability of MDR-TB in patients with TB. …”
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  12. 2812

    Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

    Published 2025-05-01
    “…However, data gaps in AOD products from satellites like Fengyun significantly hinder continuous, seamless environmental monitoring capabilities, posing challenges for the long-term analysis of atmospheric pollution trends, responses to sudden ecological events, and disaster management. This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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  13. 2813

    CYTOKINE-PRODUCING FUNCTION OF IMMUNOCOMPETENT BLOOD CELLS AND ITS INTERRELATIONS WITH HEPARANASE-1 EXPRESSION IN GASTRIC CARCINOGENESIS by A. V. Vankhalsky, S. A. Arkhipov, S. V. Aidagulova, E. S. Mikhailova, N. A. Varaksin, A. I. Autenshlyus

    Published 2016-07-01
    “…The aim of present study was to investigate relationships between cytokine-producing potential of immunocompetent blood cells (ICC), and expression of heparanase-1 in stomach adenomas and adenocarcinomas. …”
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  14. 2814

    Optimisation control process of cyanide biodegradation from cassava mill effluent (CME) using indigenous microorganisms by Kingsley Erhons ENERIJIOFI, Chinyere Anastasia CHUKWUMA

    Published 2018-12-01
    “…The cyanide component of cassava mill effluent (CME) is highly toxic to man and its environment. This research was aimed at biodegrading cyanide from cassava mill effluent with various concentrations of cyanide, variable pH values, inoculum size and phenol. …”
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  15. 2815

    Personalized Predictions for Changes in Knee Pain Among Patients With Osteoarthritis Participating in Supervised Exercise and Education: Prognostic Model Study by Mahdie Rafiei, Supratim Das, Mohammad Bakhtiari, Ewa Maria Roos, Søren T Skou, Dorte T Grønne, Jan Baumbach, Linda Baumbach

    Published 2025-03-01
    “…We trained random forest regression models and compared the rate of true predictions of our models with those using average values. In supplementary analyses, we additionally considered recently added variables to the GLA:D registry. …”
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    Article
  16. 2816

    Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

    Published 2021-01-01
    “…Objectives. This article aims to describe, elaborate, and test a general algorithmic method for constructing the structure–property models for organic compounds.Results. …”
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  17. 2817
  18. 2818

    Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms by Yiwei Chen, Kejun Pan, Xiaobo Lu, Erxiding Maimaiti, Maimaitiaili Wubuli

    Published 2025-03-01
    “…Eight predictors were screened using lasso regression, followed by building eight models and using SHAP values (Shapley’s additive explanatory values) to identify key features in the best models. …”
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  19. 2819

    Reduction of Multiplicative Noise in Radar Images by A. A. Tuzova, V. A. Pavlov, A. A. Belov

    Published 2021-09-01
    “…Knowing which filter copes best with smoothing speckle noise in a particular area and what values of the variable parameters this requires, an optimal quality of radar images can be achieved. …”
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  20. 2820

    A Machine Learning-Based Study of the Effects of Air Pollution and Weather in Respiratory Disease Patients Visiting Emergency Departments by Eu Sun Lee, Jung-Youn Kim, Young-Hoon Yoon, Seoung Bum Kim, Hyungu Kahng, Jinhyeok Park, Jaehoon Kim, Minjae Lee, Haeun Hwang, Sung Joon Park

    Published 2022-01-01
    “…To date, investigating respiratory disease patients visiting the emergency departments related with fined dust is limited. This study aimed to analyze the effects of two variable-weather and air pollution on respiratory disease patients who visited emergency departments. …”
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    Article