Monetary Systems of the World: A Study of Present Currency Systems and Statistical Information Relative to the Volume of the World's Money, with Complete Abstracts of Various Plans Proposed for the Solution of the Currency Problem. Maurice L. Muhlman

1895 ◽  
Vol 4 (1) ◽  
pp. 105-106
Author(s):  
J. Laurence Laughlin
Author(s):  
Yashaswini J ◽  
Niranjan K R ◽  
Beena Ullala Mata B N ◽  
Kaliprasad C S

Mankind is confronting these days a histrionic pandemic scene with the Coronavirus proliferation over all continents. The Covid-19 pandemic outbreak is as yet not very much portrayed, and numerous research teams everywhere on the world are chipping away at one or the other restorative therapeutic issues or immunization issues. The outburst of COVID-19 has constituted a danger to wellbeing of world. With the expanding number of individuals tainted, medical services frameworks, particularly those in economically emerging nations, are bearing gigantic pressing factor for the devising a prognostic model. There is a dire requirement for the analysis of COVID-19 and the anticipation of inpatients. To diminish these issues, a data statistical information driven clinical aid framework is advanced in this paper. In view of two real world datasets in Wuhan, China, the proposed framework coordinates information from various sources with tools of Machine Learning (ML) to anticipate COVID-19 tainted likelihood of suspected patients in their first visit, and afterward foresee mortality of affirmed cases. As opposed to picking an interpretable calculation, this framework isolates the clarifications from ML models. It can do help to patient triaging and give some valuable guidance to specialists and doctors. A prognosis model is in the way of extraordinary premium for specialists to adjust their consideration methodology for therapeutic or diagnosis procedure.


Vestnik NSUEM ◽  
2022 ◽  
pp. 135-143
Author(s):  
M. V. Karmanov ◽  
O. A. Zolotareva

The maintenance of civil peace and harmony in the Russian state from time immemorial has been defined as a priority that allows maintaining the integrity of both state and territorial. Global processes taking place in the world, epidemic waves of viruses, incessant local wars, diligent attempts to separate people and peoples bring to the fore the need to consolidate society in order to ensure the national security of the country. In this context, the importance of statistics increases, which significantly affects the perception of the dominant values by society, forms the attitude of people to the state policy being pursued. At the same time, the understanding of statistical information (figures, data) in a number of cases does not correspond to reality, making it difficult to adequately assess the existing situation, which is associated with an insufficient level of statistical literacy of the population, officials and specialists in various fields of activity.


Author(s):  
M. Klupt

Will immigrant minorities change the Western world? Two decades ago this question seemed irrelevant as it was expected that the West will change the world in its image. Today, the same question is perceived as rhetorical. The answer is obvious, and the dispute is merely over directions, extent and possible consequences of future changes. The center of this dispute is the multiculturalism – the concept, policy and praxis praising diversity of cultures and denying any of them a vested right to dominate not only in the world at large, but even in a particular country. The assessment of its perspectives presupposes a variety of research approaches in view of its complexity. In the present article only one of them is be used for the analysis focused on the employment of immigrant minorities from the world's South. The viability of such approach is based on two circumstances. Firstly, the employment indexes considered in ethnical context belong to the most important characteristics of ethno-social structure of a society. Secondly, the availability of broad statistical information about employment allows for resting upon empirical data, possibly avoiding a needless bias toward purely theoretical constructions.


Author(s):  
Cynthia Snell

In an effort to find an online-automated electronic resource management system that provides licensing, acquisitions, and statistical information easily, Columbia College of South Carolina journeyed into the world of open source and vender-based applications. During this journey, dead ends and roadblocks paved the way. To encompass all the identified requirements of the online-automated system, a new system needed to be designed.


2013 ◽  
Vol 15 (4) ◽  
pp. 293-304
Author(s):  
Władysław Welfe

Multicountry models were developed in the previous century to serve the analyses and projections of the world economy and/or its regions (for instance Latin America). They distinguish the largest countries and the rest of the world (ROW) composed of particular countries. Hence, their structure is based on the specifications of equations for individual countries using full statistical information available at the countries level. The regional macroeconomic models are built for either administrative or geographical units distinguished within large countries (USA, China, Russia). Their structure should be in principle similar to those of the national economy. However, the statistical information of the regional economies is typically uncomplete: no sufficient information is available on exports and imports of the region, migrations and financial flows. Appropriate approximations are necessary. As in majority of countries the prices and wages movements are in general unified over the country, the variables representing the national level excerpt an impact on the regional variables. The regional impact on the national variables is rather unusual. The paper shows the skeleton model applied in the multicountry models and the skeleton of the macroeconomic regional model. The specific properties of the regional model are discussed and the possibilities of its extensions analysed.


Geophysics ◽  
1958 ◽  
Vol 23 (5) ◽  
pp. 953-971
Author(s):  
Homer G. Patrick

World-wide activity in geophysics exploration by the petroleum industry was slightly decreased in the year 1957 as compared to 1956, which was a record year. Significant gains reported in the Eastern Hemisphere were not sufficient to off-set fully the decline in activity in the Western Hemisphere. As in past years, the Committee did not receive statistical information from all countries of the world. It is known that some geophysics exploration work was done in countries from which no activity information is available. For example, according to unconfirmed reports, 320 seismic crews were in operation in Russia during 1957. Since this information could not be verified, it is not included in this report. According to reliable data received, an average of 1,122 geophysical crews of all types were employed in the search for petroleum during the year. An average of 1,136 crews were engaged in geophysics exploration in 1956, and in 1955 the average was 1,119 crews.


2015 ◽  
pp. 284-291
Author(s):  
Cynthia Snell

In an effort to find an online-automated electronic resource management system that provides licensing, acquisitions, and statistical information easily, Columbia College of South Carolina journeyed into the world of open source and vender-based applications. During this journey, dead ends and roadblocks paved the way. To encompass all the identified requirements of the online-automated system, a new system needed to be designed.


2015 ◽  
Vol 60 (10) ◽  
pp. 1-16
Author(s):  
Michał Sułkowski

The article describes the role of social media in the information society and the use of them by the public administration. For the analysis there were selected and assessed most popular types of social media. The evaluation included trends in the use of this type of information channels in dissemination of statistical knowledge as a way to build the image of official statistics in society. Particular attention was paid to their role in the activities of national statistical offices in the world, and especially in the European Union.


2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Yashaswini J ◽  
Niranjan K R ◽  
Beena Ullala Mata B N ◽  
Kaliprasad C S

Mankind is confronting these days a histrionic pandemic scene with the Coronavirus proliferation over all continents. The Covid-19 pandemic outbreak is as yet not very much portrayed, and numerous research teams everywhere on the world are chipping away at one or the other restorative therapeutic issues or immunization issues. The outburst of COVID-19 has constituted a danger to wellbeing of world. With the expanding number of individuals tainted, medical services frameworks, particularly those in economically emerging nations, are bearing gigantic pressing factor for the devising a prognostic model. There is a dire requirement for the analysis of COVID-19 and the anticipation of inpatients. To diminish these issues, a data statistical information driven clinical aid framework is advanced in this paper. In view of two real world datasets in Wuhan, China, the proposed framework coordinates information from various sources with tools of Machine Learning (ML) to anticipate COVID-19 tainted likelihood of suspected patients in their first visit, and afterward foresee mortality of affirmed cases. As opposed to picking an interpretable calculation, this framework isolates the clarifications from ML models. It can do help to patient triaging and give some valuable guidance to specialists and doctors. A prognosis model is in the way of extraordinary premium for specialists to adjust their consideration methodology for therapeutic or diagnosis procedure.


Our perceptions of the world around us are stable and reliable. Is this because the mechanisms that yield them are crude and insensitive, and thus immune to false responses? Or is it because a statistical censor that blocks unreliable messages intervenes between the signals from our sense organs and our knowledge of them? This question can be answered by measuring the efficiency with which statistical information is utilized in perception. It is shown that mirror symmetry can be detected in displays of otherwise random dots with an efficiency of up to 50 %; thus the statistical mechanisms are not crude and insensitive, and this aspect of sensory physiology and psychology may deserve more attention.


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