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  1. 5841

    Integral Assessment of the Development Level of Electronic Business in the Regions of the Volga Federal District by M. V. Bikeeva, K. V. Belash

    Published 2020-04-01
    “…The article provides a retrospective analysis of the stages of development of electronic business in Russia. …”
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    Article
  2. 5842

    The current landscape in antibiotic access and supply issues: a qualitative study with key experts and opinion leaders by Dr Esmita Charani, Dr Vrinda Nampoothiri, Dr Ritika Kondal, Dr Avaneesh Pandey, Dr Oluchi Mbamalu, Dr Jennifer Cohn, Dr Sanjeev Singh, Dr Nusrat Shafiq

    Published 2025-03-01
    “…Consented participants were interviewed using a piloted semi-structured interview guide that was developed using the PESTELI (political, economic, sociological, ecological, technological, legal, industry) framework. Analysis and data collection are iterative and recursive, using constant comparison. …”
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  3. 5843

    The MESSy DWARF (based on MESSy v2.55.2) by A. Kerkweg, A. Kerkweg, T. Kirfel, T. Kirfel, D. H. Do, S. Griessbach, S. Griessbach, P. Jöckel, D. Taraborrelli, D. Taraborrelli

    Published 2025-02-01
    “…MESSy was mainly developed for research in atmospheric chemistry, and, so far, it has always been connected to a dynamical (climate or weather forecast) model, i.e. what we call a base model. The base model is a development outside the MESSy framework. …”
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  4. 5844

    Association Between Lower Serum Mitsugumin 53 Levels and the Risk of Vascular Calcification in Hemodialysis Patients by Ren W, Liu C, Yan Y, Han M, Xiang P, Pang Q, Zhang A

    Published 2025-05-01
    “…Furthermore, multiple logistic regression analysis indicated that lower serum MG53 levels, an older age, a longer dialysis vintage, a higher serum total carbon dioxide (TCO2), and a higher serum phosphorus were independent risk factors for AAC in HD patients.Conclusion: Our results demonstrate for the first time a correlation between lower serum MG53 levels and an increased risk of AAC in patients undergoing HD. …”
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  5. 5845

    Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

    Published 2025-04-01
    “…To solve this, a neural network-based predictive model was developed to forecast operational parameters, such as pressure and flow rates, under various conditions. …”
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  6. 5846
  7. 5847
  8. 5848

    Morphodynamic predictions based on Machine Learning. Performance and limits for pocket beaches near the Bilbao port by Manuel Viñes, Agustín Sánchez-Arcilla, Irati Epelde, César Mösso, Javier Franco, Joaquim Sospedra, Aritz Abalia, Pedro Líria, Manel Grifoll, Alberto Ojanguren, Mario Hernáez, Manuel González, Agustín Sánchez-Arcilla

    Published 2025-07-01
    “…The GBR model is applied to forecast beach evolution in complex coastal settings, where physical understanding is limited, specifically targeting a set of pocket beaches in the Bay of Biscay (North Atlantic). …”
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  9. 5849

    The impact of circWWC3 on neoadjuvant therapy for triple-negative breast cancer and the construction of a nomogram for predicting pathological complete response after neoadjuvant t... by Haoqi Wang, Haoqi Wang, Hongbo Liu, Hongbo Liu, Shan Gao, Lijia Wang, Zihao Bai, Yi Zhang, Peijin Zhang, Fei Liu, Fei Liu, Cuizhi Geng, Cuizhi Geng

    Published 2025-07-01
    “…A predictive model that integrates circWWC3 expression alongside pathological and imaging parameters demonstrates a robust capacity to accurately forecast the probability of pCR in patients diagnosed with TNBC.…”
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  10. 5850
  11. 5851

    The Utility of C-Reactive Protein, Procalcitonin, and Leukocyte Values in Predicting the Prognosis of Patients with Pneumosepsis and Septic Shock by Melek Doganci, Guler Eraslan Doganay, Hilal Sazak, Ali Alagöz, Mustafa Ozgur Cirik, Derya Hoşgün, Emine Banu Cakiroglu, Murat Yildiz, Maside Ari, Tarkan Ozdemir, Derya Kizilgoz

    Published 2024-09-01
    “…<i>Results:</i> According to multivariate logistic regression analysis, low BMI, male gender, and high CCIS, CURB-65, and APACHE-II scores were found to be significantly associated with both 1-month and 3-month mortality (<i>p</i> < 0.05). …”
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    Article
  12. 5852

    Right ventricular dysfunction for prediction of long‐term recovery in de novo HFrEF : a PROLONG‐II substudy by Aiste Monika Jakstaite, Johanna Mueller‐Leisse, Henrike A.K. Hillmann, Stephan Hohmann, Jörg Eiringhaus, Udo Bavendiek, Tibor Kempf, Christian Veltmann, Johann Bauersachs, David Duncker, D. Berliner

    Published 2025-06-01
    “…Abstract Aims To analyse the predictive value of advanced markers of right ventricular (RV) function and RV‐pulmonary arterial (PA) coupling in forecasting long‐term left ventricular (LV) improvement in de novo heart failure with reduced ejection fraction (HFrEF). …”
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  13. 5853

    Association between novel Immune-Inflammatory markers and hypertension patients with coronary heart disease: A Cross-Sectional study based on NHANES (2005–2016) by Ruiyuan Li, Aili Atawula, Haonan Li, Moran Li, Jiamin Tang, Jie Liu, Jieying Shi, Jingjing Hou, Feng Hai, Yifan Zhao, Lipeng Guo

    Published 2025-07-01
    “…All the three models had good discrimination power. Decision curve analysis indicated that all three nomogram models are effective in clinical practice. …”
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    Article
  14. 5854

    HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in southern Spain (Sierra Nevada) by M. García-Valdecasas Ojeda, M. García-Valdecasas Ojeda, F. Solano-Farias, D. Donaire-Montaño, E. Romero-Jiménez, J. J. Rosa-Cánovas, J. J. Rosa-Cánovas, Y. Castro-Díez, Y. Castro-Díez, S. R. Gámiz-Fortis, S. R. Gámiz-Fortis, M. J. Esteban-Parra, M. J. Esteban-Parra

    Published 2025-06-01
    “…The database, called HighResClimNevada, consists of a set of climate data derived from a climate simulation using the Weather Research and Forecasting (WRF) model for the period from 1991–2022 and forced with the European ReAnalysis (ERA5). …”
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  15. 5855

    Construction and evaluation of an anxiety risk prediction model for the elderly (老年人焦虑风险预测模型的构建与评价) by ZHANG Jie (张洁), ZHU Xuehua (祝雪花)

    Published 2025-03-01
    “…Objective To construct a risk prediction model and evaluating its predictive forecasting performance to predict the occurrence of anxiety in older adults. …”
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    Article
  16. 5856

    The impact of early vs. delayed surgery on outcomes in cervical spinal cord injury without fracture or dislocation by Sirui Xiao, Hui Yan, Beixi Bao, Yuxuan Wu, Xiaokang Cheng, Chunyang Xu, Jiaguang Tang

    Published 2025-08-01
    “…Among imaging predictors, MSCC is particularly effective in forecasting motor recovery in early surgery patients. …”
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    Article
  17. 5857
  18. 5858
  19. 5859

    Features of the Structure of Age-related Expenses in the Russian Federation by K. V. Kuznetsov

    Published 2021-10-01
    “…The results obtained are necessary when constructing forecast values for assessing macroeconomic indicators, planning the state budget.Conclusion. …”
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  20. 5860

    Master of industrial training 2.0.: Human resources capacity of the project “Professionalitat” by V. V. Dubitsky, A. A. Konovalov, A. I. Lyzhin, A. V Feoktistov, V. S. Neumyvakin

    Published 2022-01-01
    “…The authors also employed pedagogical forecasting and modelling, and system analysis. The search for theoretical sources was carried out using the scientific resources of the international databases Scopus, Web of Science and the Russian Science Citation Index (eLibrary) with a search depth of 7 years.The theoretical and methodological basis of the study was the theory of the development of professional and vocational pedagogical education and the theory of designing the content of vocational pedagogical education, developed over many years by A. …”
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