scholarly journals The Effects of Changing Meteorological Parameters on Fatal Aortic Catastrophes

2020 ◽  
Author(s):  
Brigitta Szilágyi ◽  
Márton Berczeli ◽  
Attila Lovas ◽  
Zoltán Oláh ◽  
Klára Törő ◽  
...  

Abstract Introduction: Over the spam of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. Methods: We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool is a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and the weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to the fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorithm implemented in our program is based on a non-parametric a Cox process model. It is capable to split slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. Results: The model measures the relative growth of the expected number of events on the n th day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With the increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. Conclusion: The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Brigitta Szilágyi ◽  
Márton Berczeli ◽  
Attila Lovas ◽  
Zoltán Oláh ◽  
Klára Törő ◽  
...  

Abstract Background Over the span of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. Methods We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool was a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorythm implemented in our program is based on a non-parametric a Cox process model. It is capable of splitting slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. Results Model measures the relative growth of the expected number of events on the nth day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With an increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. Conclusion The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups.


2019 ◽  
Author(s):  
Brigitta Szilágyi ◽  
Márton Berczeli ◽  
Attila Lovas ◽  
Zoltán Oláh ◽  
Klára Törő ◽  
...  

Abstract Introduction: Over the spam of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. Methods: We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool is a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and the weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to the fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorithm implemented in our program is based on a non-parametric a Cox process model. It is capable to split slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. Results: The model measures the relative growth of the expected number of events on the nth day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With the increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. Conclusion: The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups. Keywords: acute aortic dissection; ruptured aortic aneurysm; Cox process model; non-parametric approach; statistical learning


1942 ◽  
Vol 23 (10) ◽  
pp. 388-399 ◽  
Author(s):  
Ellsworth Huntington

Summary The conclusion is that interdiurnal variability of atmospheric pressure at New Haven appears to show a mathematically significant correlation with the position of sunspots on the disk of the sun as seen from the earth. The correlation indicates a double annual cycle in which high latitude of spots is associated with high barometric variability in summer and winter at about the time of the solstices and with low barometric variability in the spring and fall near the time when one or the other axis of the sun points most nearly to the earth. Whether the relationship thus suggested is thermal or electrical, or whether it has any causal connection with the axes of either the earth or the sun, we do not know. The important fact is that this first investigation of the latitude of sunspots in relation to barometric variability suggests that a hidden, and perhaps hitherto unrecognized factor, manifested in the form of the latitudinal location of sunspots, is somehow imposed upon the terrestrial factors which lead to interdiurnal changes of barometric pressure.


2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.


2021 ◽  
Author(s):  
Maurizio Soldani

AbstractIn this paper, the advantages achievable from the use of two prototype systems that are being developed to increase safety and security in ports are shown. Both systems start by monitoring environmental parameters in harbors, and then process data acquired. The first system has been conceived to be helpful to port communities (port authorities, pilots) to optimize harbor waterside management (ship’s navigation and cargo, dock performances, boat moorings, refloating of stranded ships, water quality control). By monitoring and processing sea level and atmospheric pressure in port areas, it can help port communities, e.g., to choose the best time when a ship with a certain draft can enter or leave a harbor, or to plan the best route inside the basin for that vessel (port safety). The second system, instead, has been designed for port protection purposes: by monitoring and processing the Earth’s magnetic field below the sea surface in harbors (where the natural field is disturbed by a high artificial component), it is able to detect the possible presence of intruders (e.g., divers) swimming underwater in prohibited areas (port security). Here, the results of monitoring and processing activities of the two systems performed in Livorno and La Spezia harbors are shown (Italy). The processing procedures and the graphical interfaces of the systems are based on applications under development by the research team the author belongs to, by using C# and C++ languages; Matlab environment has been employed for simulations.


2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Gang Lin ◽  
Jingying Fu ◽  
Dong Jiang ◽  
Jianhua Wang ◽  
Qiao Wang ◽  
...  

Epidemiological studies around the world have reported that fine particulate matter (PM2.5) is closely associated with human health. The distribution of PM2.5concentrations is influenced by multiple geographic and socioeconomic factors. Using a remote-sensing-derived PM2.5dataset, this paper explores the relationship between PM2.5concentrations and meteorological parameters and their spatial variance in China for the period 2001–2010. The spatial variations of the relationships between the annual average PM2.5, the annual average precipitation (AAP), and the annual average temperature (AAT) were evaluated using the Geographically Weighted Regression (GWR) model. The results indicated that PM2.5had a strong and stable correlation with meteorological parameters. In particular, PM2.5had a negative correlation with precipitation and a positive correlation with temperature. In addition, the relationship between the variables changed over space, and the strong negative correlation between PM2.5and the AAP mainly appeared in the warm temperate semihumid region and northern subtropical humid region in 2001 and 2010, with some localized differences. The strong positive correlation between the PM2.5and the AAT mainly occurred in the mid-temperate semiarid region, the humid, semihumid, and semiarid warm temperate regions, and the northern subtropical humid region in 2001 and 2010.


2008 ◽  
Vol 25 (3) ◽  
pp. 479-486 ◽  
Author(s):  
Sharlene R. da S. Torreias ◽  
Ulisses G. Neiss ◽  
Neusa Hamada ◽  
Ruth L. Ferreira-Keppler ◽  
Frederico A.A. Lencioni

The last-stage larva of Bromeliagrion rehni Garrison in De Marmels & Garrison, 2005 is described and illustrated and bionomics and habitat information on this species are provided. The study was conducted in the Reserva Florestal Adolpho Ducke, located near Manaus, state of Amazonas, Brazil.Twelve samplings were done between April, 2003 and April, 2005: six in the rainy season and six in the dry season. In each sampling month, 12 bromeliads (Guzmania brasiliensis Ule, 1907, Bromeliaceae) were collected, six of which were terrestrial and six epiphytic, yielding144 samples. A total of 75 specimens of B. rehni were collected. The relationship between larval B. rehni abundance and the measured environmental parameters (volume (ml), pH, season and stratum) was significant (ANCOVA, F = 5.296, d.f. = 130, p < 0.001). Larvae were most abundant in the rainy season (p < 0.01) and water volume was positively related to the abundance of B. rehni. Larvae of B. rehni can be distinguished from those of B. fernandezianum (the only species in the genus with described larvae) by the number of setae in the prementum and by the color of the apical region of the femur. The association of this species with phytotelmata of G. brasiliensis is reported here for the first time.


2018 ◽  
Vol 27 (1) ◽  
pp. 57-67 ◽  
Author(s):  
Fupeng Yin ◽  
Qi Gao ◽  
Xue Ji

The appropriate iteration process model is the basis for managing and optimizing the product development process. In this article, we attempt to introduce the concept of process effectiveness and process value. The relationship between rework probability and process effectiveness is discussed. The evolution function of process effectiveness is proposed to drive the overlapped iteration process of multi-coupled activities. The evolution process with input information update is studied, and a simulation model is presented to obtain the accurate iteration process of development. It is useful to analyze the risks during development, and has good flexibility and versatility. The calculation method of process value for overlapped iteration process is given, and an optimization model for product development process is provided. The model is used to improve the development process of the stamping die of a car roof. With the model, we can get a suitable overlapping rate of multi-coupled activities to improve development performance.


2009 ◽  
Vol 37 (6) ◽  
pp. 825-834 ◽  
Author(s):  
Ming-Ten Tsai ◽  
Shuang-Shii Chuang ◽  
Wei-Ping Hsieh

The relationship of communication satisfaction to job performance and turnover intention among employees was examined. Most communication satisfaction research has been conducted in relation to job satisfaction. However, there is a growing interest in the relationships between communication satisfaction, job performance, and turnover intention. The population examined in this study were employed in the top 500 service industries in Taiwan. The sample consisted of 1,260 individuals. A total of 467 valid responses were collected for a usable response rate of 37.1%. The results suggest that employees' perceptions of a high communication satisfaction are positively associated with their job performance, and negatively related to turnover intention.


Sign in / Sign up

Export Citation Format

Share Document