P185 Multi-diagnostic on-line information system for clinical and epidemiological registries in haematology and haemato-oncology in the Czech Republic

Blood Reviews ◽  
2007 ◽  
Vol 21 ◽  
pp. S143-S144
Author(s):  
L. Dusek ◽  
P. Brabec ◽  
D. Klimes ◽  
J. Koptikova ◽  
K. Chroust ◽  
...  
Keyword(s):  
Information System ◽  
Czech Republic ◽  
The Czech Republic ◽  
On Line

scholarly journals The accuracy of FOM instrument used in on-line pig carcass classification in the Czech Republic

2008 ◽  
Vol 52 (No. 6) ◽  
pp. 149-158 ◽  
Author(s):  
M. Šprysl ◽  
J. Čítek ◽  
R. Stupka ◽  
L. Vališ ◽  
M. Vítek
Keyword(s):  
Czech Republic ◽  
Measurement Errors ◽  
Muscle Thickness ◽  
The Czech Republic ◽  
High Agreement ◽  
Lean Meat ◽  
Depth Measurement ◽  
Operator Error ◽  
On Line

The objective of this study was to document the accuracy of the classification equipment used in the Czech Republic with respect to measurement errors in lean meat percentage prediction such as point of measurement error, equipment error as well as operator error. To this end, a total of 720 pigs were measured in one abattoir. One can say from the results that the correlations between correct and surrogate measurements of fat depth are high (0.95&minus;0.98), for muscle thickness they are lower ranging from 0.49 to 0.88, and for lean meat percentage they are in the range of 0.85&minus;0.95. The lowest correlation (0.49) was calculated for muscle depth measurement between the 2nd and 3rd last rib when the place of measurement was moved 1 cm in the caudal direction, which influenced the level of the FOM correlation. It was further demonstrated that for the second insertion the differences in lean meat percentage prediction ranged from &minus;6.07% to +9.29%. It was also demonstrated that various instruments provided identical measurements of fat depth (<i>r</i> = 0.57&minus;0.97), while for muscle depth the performance was worse (<i>r</i> = 0.38–0.78), which caused a fluctuation in the prediction of lean meat percentage with differences ranging from &minus;2.56% to +2.81%. It can also be concluded that a high agreement between operators was demonstrated for the determination of lean meat percentage (<i>r</i> = 0.71&minus;0.80).

scholarly journals Digital epidemiology supported by GIS as a way for effective communication of the epidemic situation

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Smida ◽  
J Loosova ◽  
J Prattingerova ◽  
V Zabka ◽  
D Vrbik ◽  
...  
Keyword(s):  
Information System ◽  
Czech Republic ◽  
Geographic Information System ◽  
General Public ◽  
Geographic Information ◽  
Epidemiological Surveillance ◽  
Substantial Part ◽  
Multiple Time ◽  
Data Input ◽  
The Czech Republic

Abstract There is no central information system supporting epidemiological surveillance in the case of the Czech Republic. For efficient management of epidemiological data, it is advisable to use a Geographic Information System (GIS), in which data can be managed based on their geographical component. The advantages of GIS are not only all tools for managing an ordinary database but also functions typical for geographic data. Technical University of Liberec (Czech Republic) with the support of the Technology Agency of the Czech Republic guarantees the design and building of an information system with GIS features designed for the solution of epidemics within the chosen region of the Czech Republic (Regional Hygiene Station of the Liberec Region). The concept of the information system is based on the requirement to use Open Source tools without the need for future license fees. A substantial part of the system is programmed (R language). Data input will be provided by forms and questionnaires (pre-prepared, editable). The database will be based on demographic data along with multiple time and geographical data (useful for the construction of epidemiological curves and data representation in maps). Data input is possible via any platform (desktop, smartphones, mobile GIS for fieldwork). The output console is designed to work with data organized in maps. After the necessary anonymization and aggregation of data, some of the data is designed to be made available to the general public. Emphasis is placed on the communication role of the information system in providing information from and to the public. The research team is multidisciplinary (epidemiologists, geographers, programmers, sociologists). The development of the information system has been started in 2019 on the example of alimentary diseases. A part of it has been used since March 2020 for monitoring COVID-19 within the Liberec Region. Full completion and commissioning are set for 2021. Key messages Geographic Information System is an effective database, analytical and communication tool for epidemilogy. The information system must enable communication with experts and the general public.

scholarly journals Human Values as Determinants of Fairtrade Consumption in the Czech Republic

2018 ◽  
Vol 66 (2) ◽  
pp. 465-478 ◽  
Author(s):  
Ondřej Částek ◽  
Linda Plaváková
Keyword(s):  
Czech Republic ◽  
Fair Trade ◽  
Supply And Demand ◽  
Demographic Characteristics ◽  
Ethical Consumption ◽  
Multivariate Model ◽  
Human Values ◽  
The Czech Republic ◽  
Ethical Consumerism ◽  
On Line

Ethical consumerism is a growing field. It attracts increasingly more attention not only from the supply and demand sides, but also from researchers. Numerous surveys are trying to describe consumers’ behaviour; many studies are trying to identify and analyse what contributes to the higher ethical consumption. While this is also the case of the Czech Republic, empirical evidence focused on the effect of consumers’ values on ethical consumerism in the Czech Republic is still missing. Therefore, our goal is to examine the effect of consumers’ values on Fairtrade consumption in the Czech Republic. We measure the values through the Human Values Scale (developed by S. Schwartz) and use socio-demographic characteristics as control variables in a multivariate model. We find that Universalism and Power are values which can predict the frequency of Fairtrade purchases among Czech online Fairtrade shoppers. Along with Universalism, gender proves to be an important predictor too. While generalizing our results, we must bear in mind that our sample describes only those who do purchase Fair trade products on-line.

Nákupní preference mladé generace a on-line nakupování

2020 ◽  
Author(s):  
Karolína Urbanovská ◽  
Josef Kunc
Keyword(s):  
Czech Republic ◽  
Consumer Preferences ◽  
Daily Basis ◽  
Young Generation ◽  
The Czech Republic ◽  
Generation Z ◽  
Brick And Mortar ◽  
On Line ◽  
Online Lifestyle ◽  
Smart Technologies

The young generation born in the mid-1990s and later is referred to as Generation Z. As the only post-war generation, they grew entirely on the World Wide Web and has been increasingly associated with the rapid increase in daily use of technology on a daily basis. Mainly the Internet and smart mobile phones have become an indispensable part of their lives and are often used in consumer preferences and during shopping. The paper focuses on the analysis and evaluation of selected results of Generation Z research in the Czech Republic in relation to shopping behaviour and on-line shopping. In terms of methodology, the research is based on an extensive quantitative questionnaire survey among members of a given generation in the Czech Republic. The results show that Generation Z a bit surprisingly prefers shopping in a brick-and-mortar store compared to online shopping. On the other hand, Czech young population not surprisingly spends the largest expenditures on food, entertainment, clothing and footwear, housing and travel, and this product mix is also reflected in the frequency of visits. This finding may be important for retailers and managers because, despite the ever-increasing implementation of smart technologies and an online lifestyle across all generations, brick-and-mortar businesses are still competitive to face this trend.

scholarly journals Meteorological reports in the Perspective Automated Artillery Fire Support Control System

2021 ◽  
Vol 15 ◽  
pp. 96-102
Author(s):  
Martin Blaha ◽  
Ladislav Potužák
Keyword(s):  
Information System ◽  
Czech Republic ◽  
Control System ◽  
Information Systems ◽  
International Organizations ◽  
Research Project ◽  
The Czech Republic ◽  
High Importance ◽  
Security Environment ◽  
The University

The Czech Republic, as a member of international organizations (NATO, EU, UNO), with respect to current global security environment, employs the units of the army both at its own state territory and outside the Czech Republic in multinational forces operations. The article focuses on preparation of meteorological reports of future Automated Command, Control, and Information system (C2I) in conditions of the Army of the Czech Republic. The issue of automated command, control, and information systems is of high importance in the solving of asymmetrical operations tasks today and in the upcoming future. Define the basic resources for creation of meteorological reports of NATO standards in Network Enabled Capabilities (NEC) conditions. The authors define group of meteorological report for designing a new and by the Army of the Czech Republic required sophisticated Automated Fire Support Control System of Artillery meeting NATO standards in Network Enabled Capabilities (NEC) conditions. The article represents section of a huge defensive research project of Ministry of Defence of the Czech Republic and the Army of the Czech Republic solved by leading scientists of the University of Defence in Brno.

scholarly journals Czech Childhood Cancer Information System: Data analysis and interactive visualisation (Preprint)

2020 ◽  
Author(s):  
Denisa Krejčí ◽  
Matěj Karolyi ◽  
Lucie Pehalová ◽  
Jakub Ščavnický ◽  
Michaela Zapletalová ◽  
...  
Keyword(s):  
Information System ◽  
Czech Republic ◽  
Childhood Cancer ◽  
Cancer Patients ◽  
Cancer Epidemiology ◽  
Cancer Information ◽  
Death Certificates ◽  
Childhood Cancers ◽  
Web Portal ◽  
The Czech Republic

BACKGROUND The knowledge of cancer burden in the population, its time trends and the possibility of international comparison is an important starting point for cancer programmes. A reliable interactive tool describing cancer epidemiology in children and adolescents has been non-existent in the Czech Republic until recently. OBJECTIVE The goal of this study was to develop a new web portal entitled the Czech Childhood Cancer Information System (CCCIS), which would provide information on childhood cancer epidemiology in the Czech Republic. METHODS Data on childhood cancers have been obtained from the Czech National Cancer Registry. These data were validated using the clinical database of childhood cancer patients and subsequently combined with data from the National Register of Hospitalised Patients and with data from death certificates. These validated data were then used to determine incidence and survival rates of childhood cancer patients aged 0–19 years who were diagnosed in the period 1994–2016. Data from death certificates were used to monitor long-term mortality trends. The technical solution is based on the robust PHP development Symfony framework, with the PostgreSQL system used to accommodate the data basis. RESULTS The web portal is available for anyone at https://ccc-is.uzis.cz/index-en.php, providing basic information for experts (i.e. analyses and publications) on individual diagnostic groups of childhood cancers. It involves an interactive tool for analytical reporting, which provides information on the following basic topics in the form of graphs or tables: incidence, mortality and overall survival. Feedback was obtained and the accuracy of outputs published on the CCCIS portal was verified using the following methods: the validation of theoretical background and the user testing. CONCLUSIONS The software is capable of processing data from multiple sources, is freely available to all users and makes it possible to carry out automated analyses even for users without mathematical background: a simple selection of a topic to be analysed is required from the user.

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