“…The aim of the present contribution was to examine the role of attention in motor timing using (a) time series analysis, and (b) a dual task paradigm. In a series of two studies, a finger-tapping task was used in sensorimotor synchronization with various tempi (from 300 to 1,100 ms) and motor complexity (one target vs. six targets). …”
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“…RESULT: After 04/2017, antibiotic initiation ≤3 days decreased among low-risk VLBW (62% vs. 13%, p<0.001) and low-risk ELBW (88% vs. 21%, p<0.001) infants. In time series analysis, guideline was associated with decreased initiation among low-risk ELBW infants. …”
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“…We examined changes in the number of users of LTCI services before and after the COVID-19 pandemic began, using an interrupted time-series analysis. Results indicated that the use of outpatient services was reduced; however, home-visit services were maintained. …”
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“…We performed an interrupted time series analysis and used a negative binominal regression model. …”
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“…METHODS: Python has been used as the main programming language for data analysis and forecasting using the Prophet model, a time series analysis model. The data set has been preprocessed by grouping together the days for total numbers of cases and deaths on few selected dates and removing missing values present in some states. …”
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“…Detection of the temporal reversibility of a given process is an interesting time series analysis scheme that enables the useful characterisation of processes and offers an insight into the underlying processes generating the time series. …”
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“…This study was conducted to show the effectiveness of the proposed LSTM model, compared with 2DCNN and RBF-SVR time-series analysis and machine learning methods, in evaluating the Table Tennis Forehand shadow-play sensory data provided by the authors. …”
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“…Time-series analysis and forecasting problems are generally considered as some of the most challenging and complicated problems in data mining. …”
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“…SARS-CoV-2 codon usage bias is mainly shaped by the natural selection, while mutational pressure plays a minor role. The time-series analysis of SARS-CoV-2 genome indicates that the virus is slowly evolving. …”
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“…In an interrupted time series analysis, we noted an immediate 35.9% reduction in TB notifications in April 2020; notifications recovered to near prepandemic numbers by December 2020. …”
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“…In this study, proteomics and time-series analysis showed that exosomes derived from MSCs can keep human brain microvascular endothelial cells (HBMECs) in a transcriptionally active state, which may be beneficial for angiogenesis. …”
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“…Driven by people’s psychology of conformity, panic, group polarization, etc., various rumors appeared and spread wildly, and the Internet became a hotbed of rumors. (2) Methods: the study selected Weibo as the research media, using topic models, time series analysis, sentiment analysis, and Granger causality testing methods to analyze the social media texts related to COVID-19 rumors. (3) Results: in study 1, we obtained 21 topics related to “COVID-19 rumors” and “outbreak rumors” after conducting topic model analysis on Weibo texts; in study 2, we explored the emotional changes of netizens before and after rumor dispelling information was released and found people’s positive emotions first declined and then rose; in study 3, we also explored the emotional changes of netizens before and after the “Wuhan lockdown” event and found positive sentiment of people in non-Wuhan areas increased, while negative sentiment of people in Wuhan increased; in study 4, we studied the relationship between rumor spread and emotional polarity and found negative sentiment and rumor spread was causally interrelated. (4) Conclusion: These findings could help us to intuitively understand the impact of rumors spread on people’s emotions during the COVID-19 pandemic and help the government take measures to reduce panic.…”
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“…METHODS: We conducted a comparative, interrupted time series analysis of publicly available county-level data. …”
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“…Here, we compared the results from the Spanish daily mortality surveillance system (MoMo) of excess mortality estimates, using a time series analysis, with those obtained for the confirmed COVID-19 deaths reported to the National Epidemiological Surveillance Network (RENAVE). …”
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“…Therefore, the fNIRS–DOT protocol demonstrated in this study provides reliable 3D functional brain images over a period of days under head-free conditions for region-of-interest–based time-series analysis.…”
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“…The solutions that do not have chaotic behavior are not passed to the time series analysis (TISEAN) software, thus saving execution time. …”
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“…We conducted an interrupted time series analysis of physician enrollment in, and patient-initiated vital sign transmission of non-COVID-associated PGHD through, a national PGHD platform (Validic). …”
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“…Plants were exposed during 30 days to the light gradient and showed significant, but species-dependent, responses in terms of dimension, shape, and color. A time-series analysis of phenotypic descriptors highlighted growth changes but also transient responses of plant shapes to the red:blue ratio. …”
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“…We matched local health areas (LHA) that implemented any site with propensity score matched controls and conducted controlled interrupted time series analysis. RESULTS: During the study period, twenty-five OPSs and SCSs opened across fourteen of British Columbia’s 89 LHAs. …”
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“…The data were analyzed using chronological time-series analysis. The switch to crisis response was encouraged by the business continuity plan. …”
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