The very low-frequency band of heart rate variability represents the slow recovery component after a mental stress task. by Harunobu Usui, Yusuke Nishida

“…During recovery, the VLF band was significantly decreased compared with the rest time. After the task, the HF band and LF/HF ratio immediately returned to baseline and were not significantly different from the resting values. …”
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Long-term variability of ice regime characteristics in river mouth areas of the western coast of the White Sea on the background of climatic changes by V. N. Baklagin, N. I. Mahalskaya

“…Information about the main characteristics ofthe ice regime (times of coming of characteristic dates of ice phenomena) of the rivers was presented by data from nine hydrological posts. …”
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Impact of climate and land use on the temporal variability of sand fly density in Sri Lanka: A 2-year longitudinal study. by Sanath C Senanayake, Prasad Liyanage, Dulani R K Pathirage, M F Raushan Siraj, B G D Nissanka Kolitha De Silva, Nadira D Karunaweera

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Power Quality Control and Design of Power Converter for Variable-Speed Wind Energy Conversion System with Permanent-Magnet Synchronous Generator by Yüksel Oğuz, İrfan Güney, Hüseyin Çalık

“…Simulation results show that the output voltage, power, and frequency of VSWECS reach to desirable operation values in a very short time. In addition, when PMSG based VSWECS works continuously with the 4.5 kHz switching frequency, the THD rate of voltage in the load terminal is 0.00672%.…”
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A Nonrandomized Trial of the Effects of Passive Simulated Jogging on Short-Term Heart Rate Variability in Type 2 Diabetic Subjects by Jose A. Adams, Jose R. Lopez, Veronica Banderas, Marvin A. Sackner

“…A passive simulated jogging device increased the time domain and Poincaré variables of HRV in T2DM. …”
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The influence of type 2 diabetes mellitus on the frequency and complexity of ventricular arrhythmias and heart rate variability in patients after myocardial infarction by Stoičkov Viktor, Deljanin-Ilić Marina, Stojanović Dijana, Ilić Stevan, Šarić Sandra, Petrović Dejan, Kostić Tomislav, Cvetković Jovana, Stojanović Sanja, Golubović Mlađan

“…All of the patients were subjected to the following procedures: standard ECG according to which the corrected QT dispersion (QTdc) was calculated, exercise stress test, and 24-hour holter monitoring according to which, the four parameters of time domain of heart rate variability (HRV) were analyzed: standard deviation of all normal RR intervals during 24 hours (SDNN), standard deviation of the averages of normal RR intervals in all five-minute segments during 24 hours (SDANN), the square root of the mean of the sum of the squares of differences between adjacent normal (RMS-SD), and percentage of consequtive RR intervals which differed for more than 50 ms during 24 hours (NN > 50 ms). …”
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Novel high-performance 2–1–2 composites with two ferroelectric components causing a variable anisotropy of figures of merit by Vitaly Yu. Topolov, Sofya A. Kovrigina

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Associations Between Daily Heart Rate Variability and Self-Reported Wellness: A 14-Day Observational Study in Healthy Adults by James Hannon, Adrian O’Hagan, Rory Lambe, Ben O’Grady, Cailbhe Doherty

“…While the effect sizes were modest and individual variability remained substantial, results suggest that consistent HRV monitoring may offer meaningful insight into subjective wellness—particularly when contextualised and tracked over time.…”
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Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients by Yaohua Bu, Fabrice Yves Ndjana Lessomo, Zhiquan Wang

“…Other HRV parameters showed lower values in cases, but differences were not statistically significant. …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

“…Abstract Objective Depression has emerged as a global public health concern with high incidence and disability rates, which are timely imperative to identify and intervene in clinical practice. …”
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The Estimating Parameter and Number of Knots for Nonparametric Regression Methods in Modelling Time Series Data by Autcha Araveeporn

“…The study applies nonparametric regression to forecast time series data with cyclic patterns and nonlinear forms in the dependent variable, treating the independent variable as sequential data. …”
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Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF by Miao He, Yihang Zhang, Mingbiao Xu, Jun Li, Jianjian Song

“…The results show that single-parameter estimation of reservoir permeability or pressure achieves superior performance. The filtered values of bottomhole pressure and outlet flow trace the measured values in real time. …”
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DESCRIPTION AND IDENTIFICATION OF TEMPORAL REGULARITIES FOR FUZZY TIME SERIES WITH APPLICATION OF HYBRID OLS-PATTERNS by D. V. Dultsev, L. I. Suchkova

“…Each triplet contains a fuzzy linguistic variable, the duration of its observation and the permitted interval of observation of insignificant data.Results An algorithm for detecting knowledge base patterns in real time was developed, taking into account the possibility of a time shift in observing long sequences of identical values of the observed value. …”
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Does fasting in Ramadan increase the risk of traffic accidents? A time series analysis by Behzad Zohrevandi, Enayatollah Homaie Rad, Nazanin Sayad Normohamadi, Sahar Shahnazari, Bahare Monsef-Kasmaei, Naema Khodadadi-Hassankiadeh

“…Daily accidents had a significant relationship with the variables of traffic (p-value = 0.000), rainfall (p-value = 0.000), Ramadan month (p-value = 0.000), and holidays (p-value = 0.000). …”
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Optimization of hybrid-forecasting algorithm parameters using a model ensemble in real time by Elena A. Kochegurova, Sofia M. Saybert, Ksenia V. Tatyankina

“…The proposed forecasting model in the form of a recurrent penalty spline (P-spline) has several adjustable parameters, which ensures the adaptability of the model for predicting the behavior of a time series based on its retrospective values. Creating an ensemble of models in the class of variable P-spline parameters is the initial information for longitudinal clustering of time series. …”
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Comparing Rotational Stability Over Time Between Four Monofocal Toric Intraocular Lenses by Hoffmann P, Potvin R, Anello RD, Hengerer F, Auffarth G, Guldenfels Y, Bertelmann E, Ruiz Mesa R, Fischinger I, Krawczyk S, Seitz B, Antolin-Garcia D, Schmickler S, Hoffart L, Kohnen T, Relucio AS

“…The Vivinex lens showed the lowest absolute rotation, with a mean value less than 1.5 degrees at all time intervals measured, with a maximum standard deviation of 1.4 degrees. …”
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Stabilization for p-Normal Nonlinear Systems in Presence of Inverse Dynamics and Input Time-Delay by Jiao-Jun Zhang

“…This study concentrates on the state feedback stabilization for a class of more general p-normal nonlinear systems in presence of inverse dynamics and input time-delay under rational powers. A novel control input compensation signal comprising a finite integral of previous control values is presented, and an equivalent system with control input dependent-free time delay is obtained by introducing a variable transformation technique that includes the compensation signal. …”
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Modeling hourly air temperature based on internationally agreed times and the daily minimum temperature by Sidinei Z. Radons, Arno B. Heldwein, Luís H. Loose, Mateus P. Bortoluzzi, Silvane I. Brand, Lana B. de O. Engers

“…Functions were adjusted based on values measured at internationally agreed times and the daily minimum air temperature for certain daily variation patterns. …”
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Effects of the Surgical Ligation of the Ureter in Different Locations on the Kidney over Time in the Rat Model by Abdolreza Mohammadi, Leila Zareian Baghdadabad, Parisa Zahmatkesh, Hedieh Moradi Tabriz, Alireza Khajavi, Gholamreza Mesbah, Parsa Nikoofar, Seyed Mohammad Kazem Aghamir

“…To compare the continuous variables between the groups and between the measurement times, the analysis of variance (ANOVA) was used. …”
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Time series analysis for forecasting neonatal intensive care unit census and neonatal mortality by Hosein Dalili, Mamak Shariat, Leyla Sahebi

“…Additionally, we conducted regression time series analysis to explore the relationships among these variables. …”
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