Long-term variations in pH in coastal waters along the Korean Peninsula by Y.-W. Lee, M.-O. Park, S.-G. Kim, T.-H. Kim, Y. H. Oh, S. H. Lee, D. Joung, D. Joung

“…Consequently, high-frequency monitoring is essential for extending the current time series and predicting future water quality.</p>…”
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Comparison of Decadal Trends among Total Solar Irradiance Composites of Satellite Observations by Nicola Scafetta, Richard C. Willson

“…Our primary focus is on the disparate decadal trending results of the ACRIM and PMOD TSI composite time series, namely, whether they indicate an increasing trend from 1980 to 2000 and a decreasing trend thereafter (ACRIM) or a continuously decreasing trend since 1980 (PMOD). …”
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Complex spatio-temporal features in meg data by Francesca Sapuppo, Elena Umana, Mattia Frasca, Manuela La Rosa, David Shannahoff-Khalsa, Luigi Fortuna, Maide Bucolo

“…A novel procedure has been developed to extract this parameterfrom time series when the system’s structure and laws are unknown. …”
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Analysis of the 2016 – 2025 fiscal budget of U.S. Centers for Disease Control and Prevention by Nana LIU, Lieyu HUANG, Yuan DANG, Zekai YU, Qianqiu LIU, Yan GUO

“…MethodsBased on the fiscal budget report data from 2016 to 2025 published on the official website of the CDC, descriptive statistical methods such as time series analysis, structural comparison, and trend analysis were used to understand the CDC′s funding input and allocation in the field of public health from 2016 to 2025. …”
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Investigating the Implications of COVID-19 on PM2.5 in Pakistan by Hassaan Sipra, Faheem Aslam, Jabir Hussain Syed, Tahir Mumtaz Awan

“…Comparative analysis of high frequency (hourly) PM2.5 data for both cities from February to April for 2019 and 2020 revealed inner dynamics of time series through seasonal and trend decomposition (STL) first, then multifractal detrended fluctuation analysis (MFDFA). …”
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An Investigation into the Variability of Luminous Blue Variable Stars with TESS by Becca Spejcher, Noel D. Richardson, Herbert Pablo, Marina Beltran, Payton Butler, Eddie Avila

“…These light curves provide two years of photometric time series for stars in the LMC, with several months of data for Galactic or SMC targets. …”
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Parameter estimation and uncertainty quantification for an epidemic model by Alex Capaldi, Samuel Behrend, Benjamin Berman, Jason Smith, Justin Wright, Alun L. Lloyd

“…We assessthe informativeness of individual data points in a given time series to determine when more frequent sampling (if possible) would prove to be most beneficial to the estimation process. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…Results showed that the PRNN model, trained on time-series data, achieved an overall accuracy of 84.8 % and a true positive rate of 80.4 % in detecting broomrape infection, emphasizing the strength of utilizing temporal data for enhancing detection accuracies. …”
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Analysis of Climate Variability and Trends for Climate-Resilient Maize Farming System in Major Agroecology Zones of Ethiopia by Abebe Zeleke, Kindie Tesfaye, Tilahun Tadesse, Teferi Alem, Dereje Ademe, Enyew Adgo

“…The study was implemented in low productive agroecology zones (LPZ), medium productive agroecology zones (MPZ), and high productive agroecology zones (HPZ) of northwest Ethiopia using daily time series climate data during the period 1987–2018. …”
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Benchmarking passive-microwave-satellite-derived freeze–thaw datasets by A. Bartsch, X. Muri, M. Hetzenecker, K. Rautiainen, H. Bergstedt, J. Wuite, T. Nagler, D. Nicolsky

“…Specifically, dual-polarized C-band data acquired by Sentinel-1, operating in interferometric wide (IW) swath mode with a ground resolution of <span class="inline-formula">5 m×20 m</span> in range and azimuth, provide dense time series in some regions and are therefore a suitable basis for benchmarking. …”
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A reproducible representation of healthy tibiofemoral kinematics during stair descent using REFRAME – part I: REFRAME foundations and validation by Ariana Ortigas-Vásquez, William R. Taylor, Barbara Postolka, Pascal Schütz, Allan Maas, Matthias Woiczinski, Thomas M. Grupp, Adrian Sauer

“…Abstract In clinical movement biomechanics, kinematic measurements are collected to characterise the motion of articulating joints and investigate how different factors influence movement patterns. Representative time-series signals are calculated to encapsulate (complex and multidimensional) kinematic datasets succinctly. …”
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Strong volcanic-induced climatic shocks on historical Moselle wine production by F. C. Ljungqvist, F. C. Ljungqvist, F. C. Ljungqvist, B. Christiansen, L. Schneider, L. Schneider, P. Thejll

“…To this end, we applied superposed epoch analysis – an appropriate method for detecting episodic signals in non-stationary time series – in combination with a bootstrap procedure to estimate the statistical significance. …”
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Severe outcomes among adults with TB during COVID-19 by T. Jacobs, E. Morden, M. Smith, A. von Delft, R. Kassanjee, V. Mudaly, A. Boulle, M-A. Davies

“…We used interrupted time series and logistic regression models to adjust for key characteristics. …”
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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

“…These deep learning models are known to perform well in time-series prediction for forecasting FX volatility. …”
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Spatiotemporal Variability of Hot Days in Association with the Large-Scale Atmospheric Drivers over Vietnam by Chinh Ta Huu, Tan Phan Van, Khiem Mai Van, Thang Vu Van, Lam Hoang Phuc, Worapong Lohpaisankrit, Quoc Bao Pham, Trinh Trong Nguyen, Phong Nguyen Thanh

“…Principal component analysis is also applied to the observed monthly NHD to obtain spatial patterns and time series. The results show that the NHD in the Highland and South subregions from March to May is linked with the subtropical high associated with decreased 500hPa-level vertical velocity (VV500). …”
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Temporal shifts in dengue epidemic in Guangdong Province before and during the COVID-19 pandemic: a Bayesian model study from 2012 to 2022. by Jiaqing Xu, Xiaohua Tan, Yi Quan, Dexin Gong, Hui Deng, Jianguo Zhao, Xing Huang, Yingtao Zhang, Zhoupeng Ren, Zuhua Rong, Weilin Zeng, Xing Li, Wenyuan Zheng, Shu Xiao, Jianpeng Xiao, Meng Zhang

“…Based on the counterfactual framework, we constructed the Bayesian structural time series (BSTS) model to capture the epidemic trends of dengue.…”
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Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas by Yuejuan Chen, Dejun Zhao, Pingping Huang, Weixian Tan, Bo Yin, Yaolong Qi, Xianglei Li, Yang Liu

“…Finally, the study separately employs the structural time series model and spatial autocorrelation to evaluate and compare the performance of the dynamic window and the fixed window, using the offset results to analyze potential causes of landslides. …”
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Global Solar Radiation Models in Minas Gerais, Southeastern Brazil by Ana Flávia Martins Monteiro, Fabrina Bolzan Martins

“…However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. …”
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Creation of a Strategically Oriented Social Responsibility Management System in a Georgian Organization by Maia Chechelashvili, Nino Chikviladze, Irina Iashvili, Tamar Kajaia, Khatuna Kharkhelauri, Elisabed Malania

“…In the research process, methods of analysis and synthesis, statistical methods, time series visualization, induction and deduction, and systematic approach were used. …”
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Role of regular medical visits in mitigating increased suicide risk during the early COVID-19 pandemic in Kobe, Japan by Daisuke Miyamori, Yasushi Nagasaki, Shuhei Yoshida, Saori Kashima, Wataru Omori, Kei Itagaki, Masanori Ito

“…Method This quasi-experimental study analyzed a population-based database from Hyogo Prefecture (2012–2022). Interrupted time-series analyses identified level and trend changes in monthly suicide rates per 1 million population during the exposure period (2020–2022) versus the control period (2012–2019). …”
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