A Survey on Big Data in Medical and Healthcare with a Review of the State in Bosnia and Herzegovina

Author(s):  
Vedrana Neric ◽  
Tatjana Konjic ◽  
Nermin Sarajlic ◽  
Nermin Hodzic
2018 ◽  
Vol 13 (3-4) ◽  
pp. 87-96
Author(s):  
Elena Yu. Guskova

The article is devoted to the analysis of interethnic relations in Bosnia and Herzegovina (BiH) in the 1940s and 1960s. The article is based on materials from the archives of BiH, Croatia, Slovenia, Yugoslavia. The documents show the state of affairs in the Republic – both in the economy and in ideology. In one or another way, all of them reflect the level of tension in the interethnic relations. For the first time, the article presents the discussion on interethnic relations, on the new phenomenon in multinational Yugoslavia – the emergence of a new people in BiH under the name of “Muslim”. The term “Muslims” is used to define the ethnic identity of Bosniaks in the territory of BiH starting from the 1961 census.


Author(s):  
Vladislav Andreyevich Shcherbakov ◽  
◽  
Svetlana Aleksandrovna Chevereva ◽  

The definition of the term Big Date is given. Particular attention is paid to how, in practice, Big Data technology is being introduced into people's lives at the state level and how it can be used for total control using the example of the People’s Republic of China.


2017 ◽  
Vol 7 (2) ◽  
pp. 83
Author(s):  
Željko Marić

Bosnia and Herzegovina is in a state of long-term recession. Under these conditions, the State would have to apply the Keynesian economic policy instead of the neoclassical free market policy. This means that the State should take on the role of the main driver of economic development by increasing public spending and the fiscal consolidation. In doing so, it is very important to understand and evaluate the fiscal multipliers, as the successful application of the Keynesian policy depends exclusively on them. The aim of this paper is, after conducting an analysis of determinants and limitations of the fiscal multipliers within the conditions present in transition countries, to provide guidance on how to conduct the public spending policy, together with the monetary policy and structural reforms which would reduce the possible limitations regarding the effect of fiscal multipliers, thus increasing their impact on economic development. The analysis will be conducted on the example of Bosnia and Herzegovina.


Author(s):  
Jing Yang ◽  
Quan Zhang ◽  
Kunpeng Liu ◽  
Peng Jin ◽  
Guoyi Zhao

In recent years, electricity big data has extensive applications in the grid companies across the provinces. However, certain problems are encountered including, the inability to generate an ideal model using the isolated data possessed by each company, and the priority concerns for data privacy and safety during big data application and sharing. In this pursuit, the present research envisaged the application of federated learning to protect the local data, and to build a uniform model for different companies affiliated to the State Grid. Federated learning can serve as an essential means for realizing the grid-wide promotion of the achievements of big data applications, while ensuring the data safety.


2021 ◽  
pp. 1-21
Author(s):  
Nedim Begović

Abstract The article analyses the case law of the European Court of Human Rights on accommodation of Islamic observances in the workplace. The author argues that the Court has not hitherto provided adequate incentives to the states party to the European Convention on Human Rights to accommodate the religious needs of Muslim employees in the workplace. Given this finding, the author proposes that the accommodation of Islam in the workplace should, as a matter of priority, be provided within a national legal framework. In Bosnia and Herzegovina, this could be achieved through an instrument of contracting agreement between the state and the Islamic Community in Bosnia and Herzegovina.


Author(s):  
Ervan G. Garrison

Especially given the debate over the timing and means of prehistoric human colonization of the Western Hemisphere, the search for submerged archaeological sites on the sea floor is critical. This chapter reflects on previous chapters in addressing how future researches might find these underwater sites by using methodologies that are both geologically and anthropologically theoretical, including utilizing big data and emerging technologies to examine the sea floor.


Author(s):  
Bronwyn Evans-Kent ◽  
Roland Bleiker

2020 ◽  
Vol 16 (3) ◽  
pp. 369-387 ◽  
Author(s):  
Abigail Devereaux ◽  
Linan Peng

AbstractIn 2014, the State Council of the Chinese Communist Party announced the institution of a social credit system by 2020, a follow-up to a similar statement on the creation of a social credit system issued by the State Council in 2007. Social credit ratings of the type being developed by the State Council in partnership with Chinese companies go beyond existing financial credit ratings in an attempt to project less-tangible personal characteristics like trustworthiness, criminal tendencies, and group loyalty onto a single scale. The emergence of personal credit ratings is enabled by Big Data, automated decision-making processes, machine learning, and facial recognition technology. It is quite likely that various kinds of personal and social credit ratings shall become reality in the near future. We explore China's version of its social credit system so far, compare the welfare and epistemological qualities of an ecology of personal ratings emanating from polycentric sources versus a social credit rating, and discuss whether a social credit system in an ideologically driven state is less a tool to maximize social welfare through trustworthiness provision and more a method of preventing and punishing deviance from a set of party-held ideological values.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130820-130839 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana

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