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  1. 1081
  2. 1082

    A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management by Muhammad Salman Haleem, Daphne Katsarou, Eleni I. Georga, George E. Dafoulas, Alexandra Bargiota, Laura Lopez-Perez, Miguel Rujas, Giuseppe Fico, Leandro Pecchia, Dimitrios Fotiadis, Gatekeeper Consortium

    Published 2025-07-01
    “…To validate our model, we utilized CGM values of 30 min sampled with a moving window of 5 min to predict the CGM values with a prediction horizon of (a) 15 min, (b) 30 min, and (c) 60 min. …”
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  3. 1083

    Phenotyping for heat stress tolerance in wheat population using physiological traits, multispectral imagery, and machine learning approaches by Neelesh Sharma, Manu Kumar, Hans D Daetwyler, Richard M Trethowan, Matthew Hayden, Surya Kant

    Published 2024-12-01
    “…The model had high precision metrics, with values of 0.69, 0.42, and 0.80 for the susceptible, moderate, and tolerant classes, respectively. …”
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    Article
  4. 1084

    Clinical factors predicting the rate of cognitive decline in a US memory clinic: An electronic health record study by Roy Adams, Jeannie‐Marie Leoutsakos, Milap A. Nowrangi, Esther S. Oh, Paul B. Rosenberg, Konstantina Skolariki, Sevil Yasar, Peter P. Zandi, Constantine G. Lyketsos

    Published 2025-04-01
    “…Inverse probability weighting was used to account for selection and censoring biases and p values were adjusted for multiple comparisons. RESULTS The cohort included 9583 patients, of which 7113 had a baseline cognitive assessment. …”
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    Article
  5. 1085
  6. 1086

    Strategic Impacts of RSUs on Company Performance: Insights into EPS and Profitability Growth by Won (Albert) Park, Elena Sernova, Cheong-Yeul Park

    Published 2025-03-01
    “…In addition, the same analysis was conducted by setting not only EPS but also operating profit as an alternative variable, and it was confirmed that RSUs also have a positive impact on actual profitability improvement. …”
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    Article
  7. 1087

    FORECASTING STOCK MARKET LIQUIDITY WITH MACHINE LEARNING: AN EMPIRICAL EVALUATION IN THE GERMAN MARKET by Bogdan Ionut ANGHEL

    Published 2025-06-01
    “…This metric captures key microstructural aspects of liquidity and serves as the dependent variable throughout the analysis. It is paired with 41 independent variables that capture volatility, price ranges, return dynamics, technical indicators and cross-asset linkages. …”
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  8. 1088

    Properties and applications of the Kirkwood–Dirac distribution by David R M Arvidsson-Shukur, William F Braasch Jr, Stephan De Bièvre, Justin Dressel, Andrew N Jordan, Christopher Langrenez, Matteo Lostaglio, Jeff S Lundeen, Nicole Yunger Halpern

    Published 2024-01-01
    “…Second, we summarise the KD distribution’s extensive usage in the study or development of measurement disturbance; quantum metrology; weak values; direct measurements of quantum states; quantum thermodynamics; quantum scrambling and out-of-time-ordered correlators; and the foundations of quantum mechanics, including Leggett–Garg inequalities, the consistent-histories interpretation and contextuality. …”
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  9. 1089
  10. 1090
  11. 1091

    Problems of analysis of the relationship between the learning context and TIMSS testing results by L. M. Nurieva, S. G. Kiselev

    Published 2023-01-01
    “…Specialists systematically encounter inexplicable absence or low correlation values of TIMSS test scores and context indicators. …”
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    Article
  12. 1092

    Delayed Taxation and Macroeconomic Stability: A Dynamic IS–LM Model with Memory Effects by Ciprian Panzaru, Sorin Belea, Laura Jianu

    Published 2025-07-01
    “…We derive stability conditions and employ bifurcation analysis to explore how the timing of taxation influences macroeconomic equilibrium. …”
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  13. 1093
  14. 1094
  15. 1095

    Optimization of ultrasound enzyme-assisted trehalose lipid extraction of Coptis alkaloids and evaluation of its anti-inflammatory effects by Huiwen Wang, Haixin Peng, Wenwen Ding, Zhiyun Zhang, Yadan Zheng, Sikai Chen, Xueying Chen, Qianwei Qu, Yanyan Liu, Yanhua Li

    Published 2025-08-01
    “…Based on the results of single-factor experiments, Box-Behnken design (BBD) was employed to optimize the selected model variables. The optimal extraction conditions were determined: extraction pH of 4.3, extraction temperature of 40 ℃, solid–liquid ratio of 1:27 g/mL, and ultrasonication time of 48 min. …”
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    Article
  16. 1096

    Multivariate discriminant analysis of the electrocardiogram by Polina A. Sakharova, Vyacheslav A. Balandin

    Published 2025-02-01
    “…The article presents a study of heart rate variability using multivariate discriminant analysis. …”
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  17. 1097

    Individual typological approach to the analysis of the body function of medical students by N. P. Setko, O. M. Zhdanova, A. G. Setko

    Published 2024-03-01
    “…In group II students, relative to group III students, there were an increase in the "myocardium" index by 1,2 times, "rhythm" index by 1,8-1,9 times, T wave alternans by 1,3 times and myocardial electrical instability by 2 times, as well as a decrease in nervous system stability by 2,5 times, its functionality by 1,7 times, the formation of reduced performance (55,6%) and unsatisfactory biological adaptation (35,2%). …”
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  18. 1098

    Cardiac remodeling in patients with heart failure with mildly reduced ejection fraction and metabolic disorders: association with biomarkers and autonomic nervous system parameters by E. A. Lyasnikova, A. I. Gareeva, V. K. Muslimova, E. S. Zhabina, S. N. Kozlova, M. Yu. Sitnikova, E. V. Shlyakhto

    Published 2024-05-01
    “…We assessed the time and frequency domains of HRV (24 h) and 5 min recordings of wakefulness at rest, calculated TO (turbulence onset) and TS (turbulence slope).Results. …”
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  19. 1099

    Ecological and human health implications of mercury contamination in the coastal water by A. Mallongi, A.U. Rauf, R.D.P. Astuti, S. Palutturi, H. Ishak

    Published 2023-04-01
    “…The uncertainty and sensitivity tests for independent variables in human health risk were assessed by the Monte Carlo Simulation method. …”
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  20. 1100

    An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis by Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Houh Chen, Galit Shmueli

    Published 2023-10-01
    “…This work proposes an R Shiny App web-based interactive tool, namely a “model-based time series clustering” (MTSC) tool, for clustering PM2.5 time series using spatial and population variables and their temporal features, like seasonality. …”
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