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  1. 741

    Blood pressure variability combined with coagulation function in early prediction and outcome assessment of germinal matrix-intraventricular hemorrhage in preterm infants with gest... by Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu

    Published 2025-01-01
    “…<h4>Objective</h4>To determine the association between blood pressure variability (BPV), coagulation indexes, and germinal matrix-intraventricular hemorrhage (GMH-IVH) in preterm infants with gestational age ≤ 32 weeks. …”
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  2. 742
  3. 743

    Autonomic support of endurance, strength and speed performance in athletes by S. M. Kanyhina, V. V. Syvolap, M. S. Potapenko

    Published 2020-12-01
    “…To examine heart rate variability (HRV) changes in athletes depending on the training session mode. …”
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  4. 744

    Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations by Duarte Lopes, Isabel Preto, David Freire

    Published 2024-07-01
    “…Utilizing a regression model based on kernel density estimation, historical hourly production values, and calendar variables, forecasts are generated. …”
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  5. 745

    Time Series of Electrical Conductivity Fluctuations Give Insights Into Long‐Term Solute Transport Dynamics of an Urban Stream by Anna Jaeger, Jonas L. Schaper, Paul Romeijn, Andrea Betterle, Malte Posselt, Stefan Krause, Jörg Lewandowski, Joakim Riml

    Published 2023-07-01
    “…Using a sliding window approach in 1‐hr steps along the 2,270‐hr time series of EC the temporal variability of solute transport between April and June 2016 was assessed. …”
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    Article
  6. 746

    Does inflation or interest rate matter to Indonesian stock prices? An asymmetric approach by Peck-Ching Sia, Chin-Hong Puah, Choi-Meng Leong, Kwang-Jing Yii, Maggie May-Jean Tang

    Published 2025-03-01
    “…Design/methodology/approach – Variables such as interest rate, inflation rate, gross domestic product (GDP) and exchange rate were tested using the time-series data fitted to the Nonlinear Autoregressive Distributed Lag (NARDL) model. …”
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  7. 747

    Real-time Diagnosis and Fault-tolerant Control of Grid-side Current Signal Anomaly in AC Traction System by YUAN Jing, LI Xueming

    Published 2023-04-01
    “…Firstly, based on the system mechanism and engineering design experience, the variables strongly related to grid-side current are extracted, and a multi-operating condition nonlinear estimation model of grid-side current is established. …”
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  8. 748

    How Reproducible Is Bioluminescent Imaging of Tumor Cell Growth? Single Time Point versus the Dynamic Measurement Approach by Shingo Baba, Steve Y. Cho, Zhaohui Ye, Linzhao Cheng, James M. Engles, Richard L. Wahl

    Published 2007-09-01
    “…In both the subcutaneous and intravenous models, single time point measurements at 20 minutes had the highest correlation value with AUC. …”
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  9. 749

    Adaptative Strategies for Outdoor Recreation During a Time of Stress: Insights from the COVID-19 Pandemic in the U.S. by Colby Parkinson, Xiangyou Shen, Megan MacDonald, Samuel W. Logan, Lydia Gorrell, Bridget E. Hatfield

    Published 2024-12-01
    “…The prominent role of individual adaptive strategies relative to the impact of nearby green space access and attributes highlighted the value of behavioral adaptation at the individual level in times of major disruptions and constraints and the need to prioritize recreation programming to facilitate adaptation and healthy behaviors during future stressful events.…”
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  10. 750

    The attention network characteristics of adults with high ADHD traits: low stability, boost accuracy by sacrificing response time by Jie Xiang, Xueke Wang, Tingyong Feng, Tingyong Feng

    Published 2024-12-01
    “…ADHD symptoms worsen overall attentional performance due to increased attentional variability. The study emphasizes the sensitivity of alerting network, ICV, and BIS indicators, and highlights the significance of attentional variability, suggesting their potential clinical value in the future.…”
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  11. 751

    A systematic approach to predicting NFT prices using time series forecasting and macroeconomic factors in digital assets by Sudip Giri, Dongping Du, Mario Beruvides

    Published 2025-12-01
    “…Bureau of Labor Statistics, Bureau of Economic Analysis, Christie’s, Dune, and Google Trends. Correlation and p value tests revealed strong relationships between NFT prices and variables such as weekly volume, pandemics, inflation and security. …”
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  12. 752

    Reducing wait times for access to inpatient rehabilitation for patients with acquired brain injury: a quality improvement initiative by Rebecca Fleck, Ramona Neferu

    Published 2024-12-01
    “…Baseline and postintervention wait times were obtained from patient intake charts. Process mapping, value analysis and five-why analysis were used to identify root causes for delays in the intake process. …”
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  13. 753

    Retention of Asymptomatic Impacted Third Molars: Effects on Alveolar Bone at the Distal Surface of Second Molars over Time by Ahmed Ata Alfurhud, Hesham Alouthah

    Published 2025-06-01
    “…<b>Objective:</b> To assess radiographic changes in the alveolar bone on the distal aspect of the second molars (2Ms) over time, while impacted third molars (ITMs) remain present across two timepoints. …”
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  14. 754

    Effects of different incremental treadmill exercise protocols on the autonomic nervous system in healthy college students: a comparative study based on heart rate variability analy... by Yingying Cao, Yingying Cao, Shuairan Li, Yi Zha, Xin Yan, Jingdong Jia, Yuanyuan Luo, Aiping Chi

    Published 2025-06-01
    “…Participants were equipped with an energy expenditure monitor (GT9-X, ActiLife 1.0), and heart rate (HR) and heart rate variability (HRV) data were recorded at three time points: pre-exercise, immediately post-exercise, and 5 minutes post-exercise. …”
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  15. 755

    Predictive value of neutrophil-lymphocyte ratio for all-cause mortality in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis by Li Fang, Jianzhi Zhu, Dandan Fu

    Published 2025-04-01
    “…The subgroup analysis highlighted study design and the timing of NLR measurement as potential contributors to heterogeneity. …”
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  16. 756

    Post Constraint and Correction: A Plug-and-Play Module for Boosting the Performance of Deep Learning Based Weather Multivariate Time Series Forecasting by Zhengrui Wang, Zhongwen Luo, Zirui Yang, Yuanyuan Liu

    Published 2025-04-01
    “…Weather forecasting is essential for various applications such as agriculture and transportation, and relies heavily on meteorological sequential data such as multivariate time series collected from weather stations. Traditional numerical weather prediction (NWP) methods applied to multivariate time series forecasting are grounded in statistical principles such as Autoregressive Integrated Moving Average (ARIMA); however, they often struggle with capturing complex nonlinear patterns among meteorological variables and temporal variances. …”
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  17. 757

    Effectiveness of 2 Just-in-Time Adaptive Interventions for Reducing Stress and Stabilizing Cardiac Autonomic Function: Microrandomized Trials by Andreas Richard Schwerdtfeger, Josef Martin Tatschl, Christian Rominger

    Published 2025-08-01
    “…This metric is quantified by regressing bodily movement on the root mean square of successive differences and identifying reductions <0.5 SD of the predicted value in real time in everyday life. …”
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  18. 758

    Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

    Published 2025-05-01
    “…Including additional POD features improved the predictive performance, with the AUROC value increasing to 0.879 on POD 7. The confidence scores of the model indicated that the DSL predictions became more reliable over time.ConclusionThe study concluded that ML models, notably the XGB algorithm, can effectively predict DSL in real-time using comprehensive clinical data, enhancing the clinical decision-making process for GC patients.…”
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  19. 759
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