scholarly journals Research of behaviors of continuous GNSS station by signal analysis methods

2018 ◽  
Vol 22 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Osman Oktar ◽  
Hediye Erdoğan
Keyword(s):  
Time Series ◽  
Plate Tectonics ◽  
Linear Trend ◽  
Developed Countries ◽  
Maximum Energy ◽  
Central Anatolia ◽  
Reference Station ◽  
International Studies ◽  
Single Station ◽  
Set Up

Continuously Operating Reference Station (CORS) networks consisting of multiple GNSS systems have been set up and operating in many developed countries. In Turkey, CORS-TR has been operating. The aim of CORS-TR is a fast, correct, and reliable collection of all kinds of geographic data, thus, speeding up the activities of cadastre, assuring organized urbanization, constituting the spatial infrastructure for relevant works of e-government, and monitoring plate tectonics. Therefore, in this paper, we investigated 788 days of linear and periodic of AKHR, BEYS, CIHA, KAMN, YUNA, AKSI and KNYA CORS-TR stations by linear trend analysis and Wavelet Transform in located in the Central Anatolia Region of Turkey. As a result of trend analyses of time series, it was determined that except a single station (KAMN), other stations were moving in the Southwest direction (17.78 mm/year). This finding is consistent with the region’s tectonic plate movements. In the periodical analyses, stations’ daily, monthly, seasonal, annual and even biennial movements resulting from atmospheric and hydrologic loading, climatic and other effects were revealed. Moreover, Detail (D) component, which protects the largest percentage of energy, was determined by calculating the energy spectrum. Energies of detail components are similar in horizontal, and especially D7-D8 have the highest energy. However, the components obtained the maximum energy was varied in Up coordinate time series. These results indicate that stations of CORS-TR network located in Central Anatolia were rather stable and able to be providing reliable, accurate and continuous data for national and international studies to be conducted in many fields.

RISK OF KNOWLEDGE, SMOKING AND PATIENT'S CONTACT ON TUBERCULOSIS DISEASE IN PUUWATU HEALTH CENTRE IN KENDARI CITY

2020 ◽  
Vol 2 (1) ◽  
pp. 46-53
Author(s):  
La Djabo Buton ◽  
Fitri Rachmillah Fadmi
Keyword(s):  
Time Series ◽  
Linear Trend ◽  
Health Centre ◽  
Developed Countries ◽  
Quadratic Model ◽  
Pulmonary Tb ◽  
Average Decrease ◽  
Series Analysis ◽  
Exponential Trend ◽  
The City

Background: Tuberculosis is a contagious disease that is still a problem in the world today, not only in developing countries but also in developed countries. Likewise in Kendari City in 2012 - 2017. Efforts that can be made to prevent the increasing number of tuberculosis cases in the future is to make predictions. This study aims to determine the time series analysis in predicting the incidence of tuberculosis by sex and working area of ??health centre in the city of Kendari in 2018-2022. Methods: This type of research is quantitative descriptive with times series analysis design. The source of the research data was obtained from the Kendari City Health Institution, Southeast Sulawesi Province, namely the data on the case of pulmonary TB which included the gender and working area of ??the Health Centre in 2012 - 2017 in the city of Kendari to be processed and analyzed in time series using the trend method approach into 3 models. linear trend, quadratic trend, and an exponential trend. Results: The results showed that the best model for the prediction of pulmonary TB cases in Kendari City was the quadratic model. Cases of tuberculosis by sex are predicted to decrease in the period 2018 to 2022, with an average decline with an average decrease of 79 cases in men and 286 cases in women. Pulmonary TB cases based on the health centre area are predicted to experience an increase in cases from 2018 until 2022 with the highest average increase being in the Kemaraya Health Centre area. While the highest average decrease in cases in the area of ??the Eye Health Center. It is expected to become information for policymakers so that prevention and promotion efforts can be made early to the community. Conclusion: Based on the results of the study, the conclusion of this study is the Science, knowledge about risk and Patient Contact History is a risk factor for tuberculosis in the work area of Puuwatu Health Centre, Kendari City.

scholarly journals Spike detection for calcium activity

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hermine Biermé ◽  
Camille Constant ◽  
Anne Duittoz ◽  
Christine Georgelin
Keyword(s):  
Time Series ◽  
Linear Trend ◽  
Statistical Test ◽  
Biological Data ◽  
Spike Detection ◽  
Calcium Activity ◽  
Experimental Time Series ◽  
Set Up ◽  
Simple Stochastic Model ◽  
Biological Context

Abstract We present in this paper a global methodology for the spike detection in a biological context of fluorescence recording of GnRH-neurons calcium activity. For this purpose we first propose a simple stochastic model that could mimic experimental time series by considering an autoregressive AR(1) process with a linear trend and specific innovations involving spiking times. Estimators of parameters with asymptotic normality are established and used to set up a statistical test on estimated innovations in order to detect spikes. We compare several procedures and illustrate on biological data the performance of our procedure.

scholarly journals TIME SERIES ANALYSIS FOR FORESCASTING THE NUMBER OF TUBERCULOSIS IN KENDARI CITY 2018-2023

2019 ◽  
Vol 1 (1) ◽  
pp. 72-79
Author(s):  
Noviati Novi
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Linear Trend ◽  
Health Agency ◽  
Developed Countries ◽  
Quadratic Model ◽  
Pulmonary Tb ◽  
Average Decrease ◽  
Series Analysis ◽  
Quantitative Descriptive

Tuberculosis is a contagious disease that is still a problem in the world today, not only in developing countries but also in developed countries. That is what happened in Kendari City in 2012 - 2017. Efforts made to prevent the increasing number of tuberculosis in the future is to make predictions. This study aims to study time series analysis in predicting the incidence of tuberculosis based on sex and working area of ​​health centers in Kendari City in 2018-2022. This type of research is quantitative descriptive using the series analysis. Sources of research data obtained from the Kendari City Health Agency in Southeast Sulawesi Province consisted of data on pulmonary TB cases in which sex and working area of ​​Puskesmas in 2012 - 2017 in Kendari City would be processed and analyzed by time series using the trend method into 3 linear trend models, quadratic trends and exponential trends. The results showed the best model for prediction of pulmonary TB cases in Kendari City was the quadratic model. Based on the number of cases predicted to increase in the period 2018 to 2022, with an average decline with an average decrease of 79 cases in men and 286 cases in women. Pulmonary TB cases based on puskesmas area are predicted to increase in 2018 until 2022 with the highest average increase in Kemaraya puskesmas area. While the average decline in cases is highest in the Mata Puskesmas area. It is expected to be able to be information for policy makers, so that prevention and early promotion efforts can be made for the community.

The Comparison of Land Subsidence between East and West Side of Bangkok, Thailand

2020 ◽  
Vol 17 (3) ◽  
pp. 1
Author(s):  
Angkana Pumpuang ◽  
Anuphao Aobpaet
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Time Series Data ◽  
Series Data ◽  
Industrial Estates ◽  
Vertical Displacements ◽  
Land Deformation ◽  
Extensive Farming ◽  
Chao Phraya River ◽  
Set Up

The land deformation in line of sight (LOS) direction can be measured using time series InSAR. InSAR can successfully measure land subsidence based on LOS in many big cities, including the eastern and western regions of Bangkok which is separated by Chao Phraya River. There are differences in prosperity between both sides due to human activities, land use, and land cover. This study focuses on the land subsidence difference between the western and eastern regions of Bangkok and the most possible cause affecting the land subsidence rates. The Radarsat-2 single look complex (SLC) was used to set up the time series data for long term monitoring. To generate interferograms, StaMPS for Time Series InSAR processing was applied by using the PSI algorithm in DORIS software. It was found that the subsidence was more to the eastern regions of Bangkok where the vertical displacements were +0.461 millimetres and -0.919 millimetres on the western and the eastern side respectively. The districts of Nong Chok, Lat Krabang, and Khlong Samwa have the most extensive farming area in eastern Bangkok. Besides, there were also three major industrial estates located in eastern Bangkok like Lat Krabang, Anya Thani and Bang Chan Industrial Estate. By the assumption of water demand, there were forty-eight wells and three wells found in the eastern and western part respectively. The number of groundwater wells shows that eastern Bangkok has the demand for water over the west, and the pumping of groundwater is a significant factor that causes land subsidence in the area.Keywords: Subsidence, InSAR, Radarsat-2, Bangkok

scholarly journals Monitoring Urban Sprawl Using Time-Series Data: Famagusta Region of Northern Cyprus

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110074
Author(s):  
Kamyar Fuladlu ◽  
Müge Riza ◽  
Mustafa Ilkan
Keyword(s):  
Time Series ◽  
Urban Sprawl ◽  
Census Data ◽  
Time Series Data ◽  
Developed Countries ◽  
Geographical Information ◽  
Series Data ◽  
Great Success ◽  
European Cities ◽  
Northern Cyprus

Monitoring urban sprawl is a controversial topic among scholars. Many studies have tried to employ various methods for monitoring urban sprawl in cases of North American and Northern and Western European cities. Although numerous methods have been applied with great success in various developed countries, they are predominantly impractical for cases of developing Mediterranean European cities that lack reliable census data. Besides, the complexity of the methods made them difficult to perform in underfunded situations. Therefore, this study aims to develop a new multidimensional method that researchers and planners can apply readily in developing Mediterranean European cities. The new method was tested in the Famagusta region of Northern Cyprus, which has been experiencing unplanned growth for the past half-century. In support of this proposal, a detailed review of the existing literature is presented with an emphasis on urban sprawl characteristics. Four characteristics were chosen to monitor urban sprawl’s development in the Famagusta region. The method was structured based on a time-series (2001, 2006, 2011, and 2016) dataset that used remote sensing data and geographical information systems to monitor the urban sprawl. Based on the findings, the Famagusta region experienced rapid growth during the last 15 years. The lack of a masterplan resulted in the uncontrolled expansion of the city in the exurban areas. The development configuration was polycentric and linear in form with single-use composition. Together, the expansion and configuration manifested as more built-up area, scattered development, and increased automobile dependency.

scholarly journals Benchmarking homogenization algorithms for monthly data

2012 ◽  
Vol 8 (1) ◽  
pp. 89-115 ◽  
Author(s):  
V. K. C. Venema ◽  
O. Mestre ◽  
E. Aguilar ◽  
I. Auer ◽  
J. A. Guijarro ◽  
...  
Keyword(s):  
Time Series ◽  
Performance Metrics ◽  
Linear Trend ◽  
Simulated Data ◽  
Integrated Approach ◽  
Global Network ◽  
Temperature And Precipitation ◽  
Skill Scores ◽  
Simulated Network ◽  
The Individual

Abstract. The COST (European Cooperation in Science and Technology) Action ES0601: advances in homogenization methods of climate series: an integrated approach (HOME) has executed a blind intercomparison and validation study for monthly homogenization algorithms. Time series of monthly temperature and precipitation were evaluated because of their importance for climate studies and because they represent two important types of statistics (additive and multiplicative). The algorithms were validated against a realistic benchmark dataset. The benchmark contains real inhomogeneous data as well as simulated data with inserted inhomogeneities. Random independent break-type inhomogeneities with normally distributed breakpoint sizes were added to the simulated datasets. To approximate real world conditions, breaks were introduced that occur simultaneously in multiple station series within a simulated network of station data. The simulated time series also contained outliers, missing data periods and local station trends. Further, a stochastic nonlinear global (network-wide) trend was added. Participants provided 25 separate homogenized contributions as part of the blind study. After the deadline at which details of the imposed inhomogeneities were revealed, 22 additional solutions were submitted. These homogenized datasets were assessed by a number of performance metrics including (i) the centered root mean square error relative to the true homogeneous value at various averaging scales, (ii) the error in linear trend estimates and (iii) traditional contingency skill scores. The metrics were computed both using the individual station series as well as the network average regional series. The performance of the contributions depends significantly on the error metric considered. Contingency scores by themselves are not very informative. Although relative homogenization algorithms typically improve the homogeneity of temperature data, only the best ones improve precipitation data. Training the users on homogenization software was found to be very important. Moreover, state-of-the-art relative homogenization algorithms developed to work with an inhomogeneous reference are shown to perform best. The study showed that automatic algorithms can perform as well as manual ones.

A Most Active Customer

2014 ◽  
Vol 44 (5) ◽  
pp. 470-502 ◽  
Author(s):  
Simone Turchetti
Keyword(s):  
World War Ii ◽  
Nuclear Power ◽  
Atomic Energy Commission ◽  
Developed Countries ◽  
Atomic Energy ◽  
Peace Treaty ◽  
Research Committee ◽  
Energy Field ◽  
Set Up ◽  
The U.S

After World War II had ended, Italy, not unlike other developed countries, held the ambition to establish an atomic energy program. The Peace Treaty of 1947 forbade its administration from seeking to acquire atomic weaponry, but in 1952 a national research committee was set up to explore the peaceful uses of atomic energy, in particular with regard to building nuclear reactors. One of the committee’s goals was to use nuclear power to make the country less reliant on foreign energy provisions. Yet, this paper reveals that the atomic energy project resulted in actually increasing Italy’s dependence on overseas assistance. I explain the reasons for this outcome by looking at the unfolding of U.S.–Italy relations and the offers of collaboration in the atomic energy field put forth by the U.S. State Department and the U.S. Atomic Energy Commission. I argue that these offers undermined plans to shape the nuclear program as its Italian architects had envisioned, caused them to reconsider the goal of self-sufficiency in energy provisioning, and reconfigured the project to be amenable to the security and economic priorities of the U.S. administration. In this way, I conclude, the path for the Italian project to “de-develop” was set.

Climate change and its impact on the development of allergic diseases

2021 ◽  
Vol 17 (4) ◽  
pp. 7-18
Author(s):  
Evgeniya V. Nazarova
Keyword(s):  
Air Pollution ◽  
Respiratory System ◽  
Forest Fires ◽  
Negative Impact ◽  
Allergic Diseases ◽  
Developed Countries ◽  
Dust Storms ◽  
International Studies ◽  
Treatment And Prevention ◽  
Earth Temperature

Since the middle of the twentieth century, there has been a widespread increase in the prevalence of allergic diseases, especially in developed countries. Much attention is paid to the changing climate and its influence on the development of allergies, mainly of the respiratory system. In many countries, studies are intensifying to study the relationship of various weather phenomena, air pollution, Earth temperature with the course of certain allergic diseases of the respiratory tract. Global strategies for the treatment and prevention of allergic diseases are being developed. This review provides data from international studies demonstrating the negative impact on human health and the development of allergic diseases of the respiratory system, in particular asthma: a global rise in Earth temperature, air pollution, dust storms, forest fires, dampness in rooms and atmospheric mold, thunderstorms and floods.

Injuries in Swedish Day-Care Centers

PEDIATRICS ◽  
1994 ◽  
Vol 94 (6) ◽  
pp. 1033-1036
Author(s):  
Eva Sellström ◽  
Sven Bremberg ◽  
Albert Chang
Keyword(s):  
Day Care ◽  
Care Center ◽  
Health And Safety ◽  
Developed Countries ◽  
Day Care Centers ◽  
Number Of Children ◽  
Common Coding ◽  
Risk Of Injury ◽  
Local Injury ◽  
Set Up

In the developed countries, an increasing number of children are enrolled in day-care centers. When parents leave their child in a day-care center they expect high standards of health and safety. Accidental injuries are a major threat in this age group. In a comparable institution that serves children, the school, the risk of injury is higher than in the home environment.1-2 Thus, safety in day-care centers cannot be taken for granted. A few studies of injuries in day-care centers have been reported, from the Nordic countries2,3-5 and from the US.6-10 Most of these studies, however, have been small and most lack information on time of exposure. Information about the risk of injury in Swedish day-care centers might be of interest as enrollment has been high for a long time. In Sweden, within the frame of a national injury program,11 a number of local hospital- and health center-based injury report systems have been set up. All have a basic common coding. These systems enable compilation of injuries in day-care centers on a national basis. The aim of our study was to analyze child injuries in day-care centers as reported in 10 local injury registry systems in Sweden regarding incidence, type, and mechanism of injury. METHOD Data were compiled from 10 local injury registry systems, covering 1- to 2-year periods. The earliest registers were from the years 1983 to 1984 and the latest from 1991. These systems were set up in all medical institutions at a predefined level, covering all individuals in a total or a part of a county.

scholarly journals Long-term monitoring programme of the hydrological variability in the Mediterranean Sea: a first overview of the HYDROCHANGES network

Ocean Science ◽  
2013 ◽  
Vol 9 (2) ◽  
pp. 301-324 ◽  
Author(s):  
K. Schroeder ◽  
C. Millot ◽  
L. Bengara ◽  
S. Ben Ismail ◽  
M. Bensi ◽  
...  
Keyword(s):  
Time Series ◽  
Mediterranean Sea ◽  
Sampling Interval ◽  
Global Changes ◽  
Hydrological Variability ◽  
Long Term Monitoring ◽  
The Mediterranean ◽  
Set Up ◽  
Term Monitoring

Abstract. The long-term monitoring of basic hydrological parameters (temperature and salinity), collected as time series with adequate temporal resolution (i.e. with a sampling interval allowing the resolution of all important timescales) in key places of the Mediterranean Sea (straits and channels, zones of dense water formation, deep parts of the basins), constitute a priority in the context of global changes. This led CIESM (The Mediterranean Science Commission) to support, since 2002, the HYDROCHANGES programme (http//www.ciesm.org/marine/programs/hydrochanges.htm), a network of autonomous conductivity, temperature, and depth (CTD) sensors, deployed on mainly short and easily manageable subsurface moorings, within the core of a certain water mass. The HYDROCHANGES strategy is twofold and develops on different scales. To get information about long-term changes of hydrological characteristics, long time series are needed. But before these series are long enough they allow the detection of links between them at shorter timescales that may provide extremely valuable information about the functioning of the Mediterranean Sea. The aim of this paper is to present the history of the programme and the current set-up of the network (monitored sites, involved groups) as well as to provide for the first time an overview of all the time series collected under the HYDROCHANGES umbrella, discussing the results obtained thanks to the programme.

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