scholarly journals First time-resolved CCD photometry and time-series analysis of NSV 13601

2020 ◽  
Vol 20 (3) ◽  
pp. 039
Author(s):  
Virabhadrasinh A. Gohil ◽  
Sachchidanand Prakash Bhatnagar
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Ccd Photometry ◽  
Time Resolved ◽  
Series Analysis ◽  
First Time

scholarly journals Time series analysis (orbital cycles) of the uppermost Cenomanian-Lower Turonian sequence on the southern Tethyan margin using foraminifera

2010 ◽  
Vol 61 (2) ◽  
pp. 111-120 ◽  
Author(s):  
Mohamed Soua
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Oceanic Anoxic Event ◽  
Series Analysis ◽  
Orbital Cycles ◽  
Anoxic Event ◽  
Minimum Zone ◽  
First Time ◽  
Shed Light ◽  
Oxygen Minimum

Time series analysis (orbital cycles) of the uppermost Cenomanian-Lower Turonian sequence on the southern Tethyan margin using foraminiferaTime series analysis has been performed for the first time on the Cenomanian-Turonian sequence in Central Tunisia in order to shed light on its Milankovitch-like cyclicity. This analysis was applied to two foraminiferal genera: the biserialHeterohelix, an oxygen-minimum zone (OMZ) dweller, and the triserialGuembelitria, a eutrophic surface dweller. Average sedimentary rates and the duration of the oceanic anoxic event (OAE2) in each studied section were estimated. The fluctuations in abundance of these two opportunistic species can be related mainly to both precessional (ca. 20 kyr) and eccentricity (100 and 400 kyr) cyclicity suggesting that changes in surface water fertility were linked to climate changes in the Milankovitch frequency band.

scholarly journals Health Effects of Climate and Air Pollution in Buenos Aires: A First Time Series Analysis

2012 ◽  
Vol 03 (03) ◽  
pp. 262-271 ◽  
Author(s):  
Rosana Abrutzky ◽  
Laura Dawidowski ◽  
Patricia Matus ◽  
Patricia Romero Lankao
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Time Series Analysis ◽  
Health Effects ◽  
Buenos Aires ◽  
Series Analysis ◽  
First Time

Flank motion detected between 2010 and 2014 through InSAR time-series analysis at Pacaya Volcano, Guatemala

2021 ◽  
Author(s):  
Judit Gonzalez Santana ◽  
Christelle Wauthier
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Flank Collapse ◽  
Series Analysis ◽  
Detachment Faults ◽  
Dike Intrusion ◽  
Static Stress Change ◽  
First Time ◽  
Pacaya Volcano

<p>Volcanic flank collapse has caused over 20,000 casualties in the past 400 years, and is one of the most dangerous hazards affecting communities and infrastructure near volcanoes. Flank instability has mostly been investigated at ocean volcanoes, due to their ability to trigger deadly tsunamis, however, these collapses are prevalent across volcanic settings, with all but one volcano in Guatemala with elevation over 2000m having experienced flank collapse, like Pacaya Volcano. At Pacaya, there is evidence for at least one past collapse, and transient SW flank motion has been identified accompanying vigorous eruptions in 2010 and 2014. We use InSAR time-series analysis to reveal, for the first time, long-term displacement of the SW flank of Pacaya during a period of volcanic quiescence from 2011-2013. This motion extended into 2014, with increased displacement rate attributed to dike intrusion during a major eruption. Subsequent static stress change analyses investigated the interactions between the modeled dike intrusion and detachment slip. Our research highlights that long-term flank motion might be more prevalent than currently recognized and that an awareness of existing structural weaknesses such as detachment faults and of possible magma-faulting interactions is vital when assessing the likelihood and style of volcanic flank collapse.</p>

Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Functional State ◽  
The Body ◽  
Functional Changes ◽  
High Intensity Training ◽  
Series Analysis ◽  
Greco Roman ◽  
St Segment ◽  
Standard Lead

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.

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