The Studies of Chlorogenic Acid Antitumor Mechanism by Gene Chip Detection: The Immune Pathway Gene Expression by Tian Yi Kang, Hua Rong Yang, Jie Zhang, Dan Li, Jie Lin, Li Wang, XiaoPing Xu

“…Differentially expressed genes screened out by time-series analysis, GO analysis, and pathway analysis, and four immune-related genes were selected for further confirmation using RT-qPCR. …”
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Empirical research on the evolution trend of heat and sentiment for emergencies by Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li, Jiatong Wang, Weiyan Yang, Yue Lin

“…By utilizing the co-word network and Louvain algorithm for theme division, along with sentiment analysis constructed through time series analysis of sentiment value changes for various emergencies employing the naive Bayes method, the evolution of public opinion is comprehensively assessed. …”
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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine by Ningsang Jiang, Peng Li, Zhiming Feng

“…The integration CCDC with SVM represents a novelty in combining time series analysis and machine learning techniques and helps monitor annual swidden agriculture in the tropics.…”
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Insights into mapping tropical primary wet forests in the Amazon Basin from satellite-based time series metrics of canopy stability by Brendan Mackey, Sonia Hugh, Tatiana Shestakova, Brendan M. Rogers, Ludmila Rattis

“…Disturbances such as fires are correlated with high levels of canopy instability. The time series analysis revealed prior land use impacts and the occurrence of otherwise unrecognized degraded forest. …”
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Comparative miRNAome combined with transcriptome and degradome analysis reveals a novel miRNA-mRNA regulatory network associated with starch metabolism affecting pre-harvest sprout... by Longqing Sun, Ting Zhao, Dandan Qin, Jing Dong, Daorong Zhang, Xifeng Ren

“…In order to further obtain candidate miRNAs, the different datasets of differentially expressed miRNAs were excavated by using differential-expression and time-series analysis. Combined with degradome data, the miRNA-mRNA networks analysis was performed after genome-wide screening of target genes, and then KEGG enrichment highlighted that the starch and sucrose metabolism pathway related to PHS was specifically enriched in an especial target-gene dataset derived from R12R18-HE miRNAs. …”
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Leveraging the McGeer Criteria to Estimate the Frequency of Inappropriate Antibiotic Prescribing for Urinary and Respiratory Tract Infections Relative to the Onset of the COVID-19... by Paulina M. Colombo, Ferris A. Ramadan, Dilsharan Kaur, Darunee Armenta, Peter P. Patterson, Katherine D. Ellingson

“…Logistic regression models identified predictors of inappropriate prescribing, and an interrupted time-series analysis (ITS) examined trends relative to the pandemic onset (11 March 2020) in Arizona. …”
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Time series forecasting techniques applied to hydroelectric generation systems by Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo

“…Modeling sequential data over time has become an intensive and fast-growing research area. Time series analysis has many applications in the energy field. …”
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Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis by Abhishek Dutta, Wanida Jinsart

“…Abstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. …”
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Mixing Data Cube Architecture and Geo-Object-Oriented Time Series Segmentation for Mapping Heterogeneous Landscapes by Michel E. D. Chaves, Lívia G. D. Soares, Gustavo H. V. Barros, Ana Letícia F. Pessoa, Ronaldo O. Elias, Ana Claudia Golzio, Katyanne V. Conceição, Flávio J. O. Morais

“…Results indicate that, by combining GEOBIA and time series analysis (materialized by the multiresolution segmentation algorithm to derive spatiotemporal geo-objects of the MODIS data cube), representative training data collected after a quality control process, and the Support Vector Machine to classify the ARD, the overall accuracy was 0.95 and all users’ and producers’ accuracies were higher than 0.88. …”
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Prevalence of Malaria among Adults in Ethiopia: A Systematic Review and Meta-Analysis by Fasil Adugna Kendie, Tamirat Hailegebriel W/kiros, Endalkachew Nibret Semegn, Melaku Wale Ferede

“…The pooled prevalence estimates with 95% confidence interval were analyzed using a random-effect model, and the possible source of heterogeneity across studies was indicated through subgroup analysis, inverse of variance (I2), and time series analysis. The presence of publication bias was evaluated using funnel plots and Egger’s regression test. …”
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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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Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models by Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi

“…Originality/value – The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.…”
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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

“…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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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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Heightened demand for mental health information resources during the SARS-CoV-2 pandemic in Germany: A retrospective longitudinal analysis of helpline calls by Jil Zippelius, Simon Schreynemackers, Ulrich Hegerl, Hanna Reich

“…This study investigated the impact of the SARS-CoV-2 pandemic on hotline usage trends through a time-series analysis. Methods: Based on longitudinal data from 2018 to 2022 predictive models were developed for caller trends on the Info-Telefon Depression. …”
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Cold temperature-related attributable risk for emergency circulatory hospitalizations, length of stay, and healthcare costs in Hong Kong by Eliza Lai-Yi Wong, Hong Qiu

“…Methods: This ecologic time series analysis linked the daily circulatory EHA count and LOS from the Hong Kong Hospital Authority with the environmental exposures from the fixed monitoring stations from 2004 to 2019. …”
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Lake Iriqui’s Remarkable Revival: Field Observations and a Google Earth Engine Analysis of Its Recovery After over Half a Century of Desiccation by Adil Moumane, Tarik Bahouq, Ahmed Karmaoui, Dahmane Laghfiri, Mohamed Yassine, Jamal Al Karkouri, Mouhcine Batchi, Mustapha Faouzi, Mohamed Boulakhbar, Ali Ait Youssef

“…The revival was monitored using satellite imagery from Landsat 8 and 9 and Sentinel-2A, processed through Google Earth Engine (GEE), with the Normalized Difference Water Index (NDWI) applied to detect water presence. A time-series analysis revealed significant changes in the lake’s surface water extent following the rainfall. …”
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Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, China by Cong Men, Donghui Li, Yunqi Jing, Ke Xiong, Jiayao Liu, Shikun Cheng, Zifu Li

“…The advanced three-way model and wavelet analysis were used in quantitative identification and time-series analysis of sources. Results showed that both the pollution load and ecological risk of most heavy metals showed a decreasing trend from the finest fraction (P1) to the coarsest fraction (P5). …”
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The impact of COVID-19 on global health journals: an analysis of impact factor and publication trends by Hao Li, Don Eliseo Lucero-Prisno, Jiaxin He, Xinliang Liu, Xinyang Lu, Meiling Zhong, Changli Jia, Zheng Feei Ma

“…The JIFs from 2019 to 2021 were simulated for longitudinal and cross-sectional analyses. Interrupted time-series analysis and non-parametric tests were applied to assess whether COVID-19 had decreased non-COVID-19 publications from January 2018 to June 2022.Results In 2020, 615 out of 3223 publications were COVID-19 related, accounting for 19.08%. …”
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Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features by Shishuan Guan, Lei Jiao, Zengyu Wang, Xiaofei Ji, Hongwei Zheng, Cunfeng Yu, Hongtao Li, Liwen Zheng, Shuaishuai Sun, Qiang Sun, Jun Li, Guangwei Jiang, Kezhi Wu, Erge Lin, Xinlong Zhang

“…This method, combined with time series analysis, not only improved the accuracy, but also gave us insight into the time-dependent behavior of the smoke, ultimately achieving an accuracy of 81.6%. …”
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