Using monitoring and simulation to analyze the failure characteristics of multizone landslides controlled by faults: a case study by Jinduo Li, Tianhong Yang, Wenxue Deng, Shigui Du, Penghai Zhang, Jia Wang, Dongdong Sun, Yuan Gao

“…Using the 298–710 m bench in the central area of the eastern slope of the Nanfen open-pit mine as a case study, the multidimensional small baseline subset (MSBAS) technique of InSAR was employed to calculate the vertical and horizontal deformation time series in the study area, enabling an analysis of the deformation characteristics of multizone bedding sliding. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

“…While DMA is well-suited for stable trends and GRU excels in volatile conditions, LSTM outperforms both, reinforcing the effectiveness of deep learning for financial time-series forecasting.…”
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Aridity-induced phenological shifts and greening trends in Mediterranean forest species: Insights from 28 years of Landsat data in southern Spain by Aurelio D. Herraiz, Pablo Salazar-Zarzosa, Cristina Acosta-Muñoz, Rocío Hernández-Clemente, Rafael Villar

“…These findings suggest that time-series Landsat data enhances our understanding of forest dynamics and aridity’s effects on vegetation. …”
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Temporal and Spatial Assessment of Glacier Elevation Change in the Kangri Karpo Region Using ASTER Data from 2000 to 2024 by Qihua Wang, Yuande Yang, Jiayu Hu, Jianglong Zhang, Zuqiang Li, Yuechen Wang

“…In this study, we used ASTER L1A stereo images to construct a high-resolution elevation time series and provide a comprehensive spatial–temporal assessment of glacier elevation change from 2000 to 2024. …”
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by M. N. Afzal Khan, Nada Zahour, Usman Tariq, Ghinwa Masri, Ismat F. Almadani, Hasan Al-Nashah

“…Notably, after augmenting the data with DCGAN, the classification accuracy increases dramatically to 96%. In the time series data, statistically significant differences were noticed in the data before and after BB stimulation, which showed an improvement in the brain state, in line with the classification results. …”
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Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods by David Cuesta-Frau, Daniel Novák, Vacláv Burda, Daniel Abasolo, Tricia Adjei, Manuel Varela, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes, Martin Haluzik

“…In order to assess the validity of this assumption, we conducted a quantitative analysis based on several nonlinear algorithms (Lempel–Ziv Complexity, Sample Entropy, Permutation Entropy, and modified Permutation Entropy), well suited to the characterization of biomedical time series. We applied them to glucose records drawn from two extreme cases available of DJBL implantation: before and after 10 months. …”
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An analysis on the economic development and deforestation by E.S. Siregar, S.U. Sentosa, A. Satrianto

“…Both variables are substantial in a country community welfare with harmonized environmental sustainability as a legacy for future generations.METHODS: In this quantitative study, secondary data in the form of time series data from 1991 to 2020 with a total of 30 years were analyzed. …”
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Fructosamine measurement for diabetes mellitus diagnosis and monitoring: a systematic review and meta-analysis protocol by Andre Pascal Kengne, Eugene Sobngwi, Jean Jacques N Noubiap, Jobert Richie N Nansseu, Joël Fokom-Domgue, Eric V Balti

“…We aim to search for and summarise available evidence on the accuracy of fructosamine measurements to diagnose and monitor DM.Methods and analysis This systematic review will include randomised control trials, controlled before-and-after studies, time series designs, cohort studies, case–control studies and cross-sectional surveys reporting the diagnosis and/or monitoring of DM (type 1 DM, type 2 DM and gestational DM) with fructosamine compared with other measures of glycaemia (fasting glucose, oral glucose tolerance test, random glucose, HbA1c), without any language restriction. …”
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Dynamics and drivers of the carbonate system: response to terrestrial runoff and upwelling along the Northeastern Colombian Caribbean coast by Constanza Ricaurte-Villota, Magnolia Murcia-Riaño, José Martín Hernádez-Ayón

“…This study provides a novel 6-year time-series dataset for the carbonate system in the Colombian Caribbean, offering a valuable baseline for assessing the impacts of global warming and ocean acidification in the region.…”
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Measuring the impact introducing NHS 111 online had on the NHS 111 telephone service and the wider NHS urgent care system: an observational study by Richard M Jacques, Rebecca M Simpson, Tony Stone, Janette Turner, Jon Nicholl

“…Objectives To explore what impact introducing the National Health Service (NHS) 111 online service had on the number of phone calls to the NHS 111 telephone service and the NHS urgent care system.Design Observational study using a dose–response interrupted time series model and random-effects meta- analysis to estimate the average effect.Setting and participants NHS 111 telephone and online contacts for 18 NHS 111 area codes in England. …”
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Spatiotemporal dynamics and driving mechanism of eco-environmental quality in piedmont-oasis-desert ecotone based on long-term harmonized remote sensing ecological index- take Korl... by Junling He, Xifeng Ju, Chuqiao Han, Liming Liu, Haidong Zhang, Saitiniyazi Adilai, Chongbo Li

“…The results showed: (1) the ORSEI had a strong correlation with RSEI (R = 0.93), but the ORSEI had better performance in the ecotone and could reflect more details. (2) In spatial distribution, the mean ORSEI was 0.334, and the central oasis was better than the northern mountainous and the southern desert. Time series showed a fluctuating upward trend, the mean value increased from 0.203 in 1991 to 0.383 in 2020. (3) The improvement area was concentrated in the central area, accounting for 46.798%, and the fluctuation of the improvement area was high. …”
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Defining the sensitivity of cosmic ray muons to groundwater storage changes by Tramontini, Matías, Rosas-Carbajal, Marina, Zyserman, Fabio Iván,  Longuevergne, Laurent, Nussbaum, Christophe, Marteau, Jacques

“…After correcting these variations for atmospheric effects, we interpret the muon time series in terms of groundwater storage changes. …”
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Assessing Nonlinear Dynamics and Trends in Precipitation by Ensemble Empirical Mode Decomposition (EEMD) and Fractal Approach in Benin Republic (West Africa) by Médard Noukpo Agbazo, Gabin Koto N’Gobi, Eric Alamou, Basile Kounouhewa, Abel Afouda

“…Climate dynamics and trends have significant environmental and socioeconomic impacts; however, in the Benin Republic, they are generally studied with diverse statistical methods ignoring the nonstationarity, nonlinearity, and self-similarity characteristics contained in precipitation time series. This can lead to erroneous conclusions and an unclear understanding of climatic dynamics. …”
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Air Pollution and COPD: Unveiling Hidden Risks of Mortality, Mechanical Ventilation, and Prolonged Hospitalization by Jovan Javorac, Dejan Živanović, Miroslav Ilić, Ana Milenković, Emilija Vujičić, Dragica Kovačević, Jelena Zvekić-Svorcan, Darko Mikić, Svetlana Stojkov, Jasminka Bačevac Eminović, Marija Jevtić

“…This study examines the influence of short-term air pollution exposure on adverse hospitalization outcomes—mortality, mechanical ventilation use, and prolonged hospitalization—in patients with non-infectious severe AECOPD in Novi Sad, Serbia. Using a five-year time-series analysis, concentrations of selected air pollutants (PM₁₀, PM_2.5, SO₂, and NO₂) and meteorological data were integrated with hospitalization outcomes. …”
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Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis by Yaoyao Zheng, Simin Zhan, Zaichun Zhu, Sen Cao, Jiana Chen, Pengjun Zhao, Weimin Wang, Ranga B. Myneni

“…We developed random forest models based on satellite-observed leaf area index (LAI) and environmental data during typhoon-free periods to simulate LAI under non-typhoon conditions. The simulated LAI time series was then compared with the satellite-observed typhoon-affected LAI to assess the typhoon-induced canopy loss and recovery, which was then used to estimate the typhoon-caused photosynthesis loss and recovery with 2 widely used light-use efficiency models. …”
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Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…The neural networks are thus trained using OSSE data and subsequently applied to the Copernicus Marine Service satellite-derived ADTs and SSTs, allowing us to reconstruct super-resolved ADTs and geostrophic currents at the same spatiotemporal resolution of the model outputs employed for the OSSE. A 12-year-long time series of super-resolved geostrophic currents (2008–2019) is thus presented and validated against in situ-measured currents from drogued drifting buoys and via spectral analyses. …”
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A Mechanistic, Stochastic Model Helps Understand Multiple Sclerosis Course and Pathogenesis by Isabella Bordi, Renato Umeton, Vito A. G. Ricigliano, Viviana Annibali, Rosella Mechelli, Giovanni Ristori, Francesca Grassi, Marco Salvetti, Alfonso Sutera

“…Assuming that the factors that trigger the onset of the disease are, to some extent, also those that generate its remissions and relapses, we attempted to model the erratic behaviour of the disease course as observed on a dataset containing the time series of relapses and remissions of 70 patients free of disease-modifying therapies. …”
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Standardization in the management of gram-negative bloodstream infections after implementation of a clinical care guideline at a large academic, safety-net institution: a quasi-exp... by Michael A. Deaney, Katherine C. Shihadeh, Alexandra Craig, Margaret M. Cooper, Paul D. Paratore, Timothy C. Jenkins

“…Results: The study included 147 patients pre-intervention and 169 post-intervention. Interrupted time series analysis showed a reduction in the median duration of therapy (–2.3 days, P = .0016), with a sustained decline (slope change –0.2103, P = .005) post-intervention. …”
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Assessment of multidecadal precipitation seasonality in the panama canal watershed by István Gábor Hatvani, Nayara Azevedo de Castro Souza, Russell S. Harmon, Jorge A. Espinosa, Zoltán Kern

“…New Hydrological Insights for the Region: Three spatial domains of similar patterns of seasonal and geographical distribution of rainfall were delineated in PCW by clustering the precipitation-seasonality time series. Stations in the northeastern and northwestern domains of the PCW experience higher average daily precipitation, influenced by the interplay of the annual movement of the ITCZ33 Intertropical Convergence Zone across Panama and weather systems over the Caribbean Sea. …”
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Impact of the COVID-19 Pandemic and Vaccine Availability on Utilization of Breast Imaging in a Multistate Radiology Practice by Andrew K. Hillman, Phil Ramis, Patrick Nielsen, Eric M. Rohren

“…The data provided us with the total monthly mammography, breast ultrasound, and breast MRI procedures from January 2019 to September 2022. An interrupted time-series (ITS) analysis was conducted to evaluate the effect of the COVID-19 pandemic and the COVID-19 vaccination. …”
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