scholarly journals Comparative Study of Different Stochastic Weather Generators for Long-Term Climate Data Simulation

Climate ◽  
2017 ◽  
Vol 5 (2) ◽  
pp. 26 ◽  
Author(s):  
Sushant Mehan ◽  
Tian Guo ◽  
Margaret Gitau ◽  
Dennis C. Flanagan
Keyword(s):  
Comparative Study ◽  
Climate Data ◽  
Data Simulation ◽  
Weather Generators ◽  
Stochastic Weather Generators

EFFECTIVENESS OF ANTIAGGREGANT THERAPY ON KIDNEY ACTIVITY IN THE PREDIALYSIS STAGE OF CHRONIC KIDNEY DISEASE

2020 ◽  
Vol 6 (1) ◽  
pp. 55-60
Author(s):  
Khabib Barnoev ◽  
◽  
Sherali Toshpulatov ◽  
Nozima Babajanova ◽  
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Function ◽  
Kidney Disease ◽  
Comparative Study ◽  
Functional Status ◽  
Stage Ii ◽  
Term Administration ◽  
Antiaggregant Therapy

The article presents the results of a study to evaluate the effectiveness of antiaggregant therapy on the functional status of the kidneys in 115 patients with stage II and III chronic kidney disease on the basis of a comparative study of dipyridamole and allthrombosepin. Studies have shown that long-term administration of allthrombosepin to patients has led to improved renal function.

ASSESSMENT OF KIDNEY FUNCTIONAL RESERVE ON THE BACKGROUND OF ANTI-AGGREGATE THERAPY IN CHRONIC KIDNEY DISEASE II-III STAGE

2020 ◽  
Vol 6 (1) ◽  
pp. 49-54
Author(s):  
Khabib Barnoev ◽  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Comparative Study ◽  
Early Stage ◽  
Raw Material ◽  
Functional Reserve ◽  
Functional Reserves ◽  
Term Administration ◽  
Antiaggregant Therapy

The article presents the results of a study to assess the functional reserve of the kidneys against the background of a comparative study of antiaggregant therapy dipyridamole and allthrombosepin in 50 patients with a relatively early stage of chronic kidney disease. Studies have shown that long-term administration of allthrombosepin to patients has resulted in better maintenance of kidney functional reserves. Therefore, our research has once again confirmed that diphtheridamol, which is widely used as an antiaggregant drug in chronic kidney disease, does not lag behind the domestic raw material allthrombosepin

scholarly journals Climate drivers of plague epidemiology in British India, 1898–1949

2020 ◽  
Vol 287 (1928) ◽  
pp. 20200538
Author(s):  
Warren S. D. Tennant ◽  
Mike J. Tildesley ◽  
Simon E. F. Spencer ◽  
Matt J. Keeling
Keyword(s):  
Predictive Models ◽  
Control Measures ◽  
Climate Data ◽  
British India ◽  
Middle Income ◽  
Middle Income Countries ◽  
Complex Interactions ◽  
The World ◽  
Spatio Temporal

Plague, caused by Yersinia pestis infection, continues to threaten low- and middle-income countries throughout the world. The complex interactions between rodents and fleas with their respective environments challenge our understanding of human plague epidemiology. Historical long-term datasets of reported plague cases offer a unique opportunity to elucidate the effects of climate on plague outbreaks in detail. Here, we analyse monthly plague deaths and climate data from 25 provinces in British India from 1898 to 1949 to generate insights into the influence of temperature, rainfall and humidity on the occurrence, severity and timing of plague outbreaks. We find that moderate relative humidity levels of between 60% and 80% were strongly associated with outbreaks. Using wavelet analysis, we determine that the nationwide spread of plague was driven by changes in humidity, where, on average, a one-month delay in the onset of rising humidity translated into a one-month delay in the timing of plague outbreaks. This work can inform modern spatio-temporal predictive models for the disease and aid in the development of early-warning strategies for the deployment of prophylactic treatments and other control measures.

scholarly journals PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mojtaba Sadeghi ◽  
Phu Nguyen ◽  
Matin Rahnamay Naeini ◽  
Kuolin Hsu ◽  
Dan Braithwaite ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Heavy Precipitation ◽  
Climate Data ◽  
Spatiotemporal Resolution ◽  
Data Record ◽  
Precipitation Estimation ◽  
Precipitation Estimates ◽  
Global Precipitation ◽  
Climate Data Record

AbstractAccurate long-term global precipitation estimates, especially for heavy precipitation rates, at fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most of the available operational precipitation estimation datasets provide either high spatial resolution with short-term duration estimates or lower spatial resolution with long-term duration estimates. Furthermore, previous research has stressed that most of the available satellite-based precipitation products show poor performance for capturing extreme events at high temporal resolution. Therefore, there is a need for a precipitation product that reliably detects heavy precipitation rates with fine spatiotemporal resolution and a longer period of record. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) is designed to address these limitations. This dataset provides precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions from 1983 to present over the global domain of 60°S to 60°N. Evaluations of PERSIANN-CCS-CDR and PERSIANN-CDR against gauge and radar observations show the better performance of PERSIANN-CCS-CDR in representing the spatiotemporal resolution, magnitude, and spatial distribution patterns of precipitation, especially for extreme events.

scholarly journals Influence of the socio-economic environment on the entrepreneurs behavior. Cases of cuba and ecuador

2021 ◽  
Vol 13 ◽  
pp. 184797902199450
Author(s):  
Reyner Pérez-Campdesuñer ◽  
Gelmar García-Vidal ◽  
Alexander Sánchez-Rodríguez ◽  
Rodobaldo Martínez-Vivar ◽  
Margarita de Miguel-Guzmán ◽  
...  
Keyword(s):  
Comparative Study ◽  
Point Of View ◽  
Personality Characteristics ◽  
Social Model ◽  
Historical Evolution ◽  
Government Regulations ◽  
Failure Risk ◽  
Short And Long Term ◽  
Financial Environment

Entrepreneurship is an important part of any economy today regardless of its level of development. However, not in all contexts do entrepreneurs operate in the same way, nor are they motivated by the same factors. This research seeks to identify possible coincidence factors and differences between entrepreneurs that operate in different contexts from the point of view of their historical evolution, the duration of these and the economic and social model applied in the countries. Specifically, a comparative study is carried out between entrepreneurs from the republics of Ecuador and Cuba considering various variables such as: personality characteristics (attitude to failure, risk, perseverance and innovation), use of the available time fund for work in entrepreneurship; Impact of the environment in relation to: government regulations, taxes, level of competition and availability of suppliers, as well as the structure of personal expenses projected in the short and long term that entrepreneurs assume as a stimulus for their actions. For the development of the study, a description of the behavior of the variables was initially made and later, by hypothesis testing, to verify differences and similarities between both populations. The study allowed us to identify common and divergent aspects between both populations analyzed. Similarly, it showed how differences in the administrative and financial environment in which entrepreneurs operate generate changes in their priorities and projections.

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