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Isolated Storage of Multi-Tenant Data Based on Shared Schema

System Concepts. Vol. 4. Mc Graw-Hill, New York, 1997. 10. Graefe, G., L. D. Shapiro. Data Compression and Database Performance. - In: Proc. of 1991 Symposium on Applied Computing, 1991, pp. 22-27. 11. Narasayya, V., et al. Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service. - The Very Large Data Base Endowment, 2015, pp. 726-737. 12. Gait, J. The Optical File Cabinet: A Random-Access File System for Write-Once Optical Disks. - Computer, Vol. 21, 1988, pp. 11-22. 13. Bovet, D

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Clustering of Symbolic Data based on Affinity Coefficient: Application to a Real Data Set

Méthodes de Classification Automatique de Données Symboliques de type intervalle, Revue de Statistique Appliquée, tome 51(4): 5-29. De Carvalho F.A.T., Brito P., Bock H-H. (2006 a ): Dynamic Clustering for Interval Data Based on L2 Distance. Computational Statistics 21(2). De Carvalho F.A.T., Souza R.M.C.R. de, Chavent M., Lechevallier Y. (2006 b ): Adaptive Hausorff Distances and Dynamic Clustering of Symbolic Interval Data. Pattern Recognition Letters 27(3). Esposito F., Malerba D., Tamma V. (2000): Dissimilarity Measures

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Dichotomized Incenter Fuzzy Triangular Ranking Approach to Optimize Interval Data Based Transportation Problem

-1314. 19. Jamrus, T., C.-F. Chien, M. Gen, K. Sethanan. Multistage Production Distribution under Uncertain Demands with Integrated Discrete Particle Swarm Optimization and Extended Priority-Based Hybrid Genetic Algorithm. – Fuzzy Optim. Decis. Mak., Vol. 14 , 2015, pp. 265-287. 20. Bisht, D. C., P. K. Srivastava. Trisectional Fuzzy Trapezoidal Approach to Optimize Interval Data Based Transportation Problem. – J. King Saud Univ.-Sci., 2018. 21. Zadeh, L. A. Fuzzy Sets. – Inf. Control, Vol. 8 , 1965, pp. 338-353. 22. Iskander, M. G. Fuzzy Goal and

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The Polish National Registry for Fetal Cardiac Pathology (www.Orpkp.Pl) – Selected Data Analysis for 2013 and 2014 and Comparison wth Data from 2004 to 2012

Abstract

As in every year since 2004, we analyzed data from the Polish National Registry for Fetal Cardiac Pathology to follow actual trends in types of congenital heart disease (CHD) and to assess the development of prenatal cardiology in Poland. Overall, the most frequent cardiac malformation detected prenatally in 2013 -2014, similar to the previous years, was hypoplastic left heart syndrome (HLHS). The average age of the examined fetuses was unchanged and remained above 20 weeks of gestation. An increased trend of detecting other cardiac malformations, such as transposition of the great arteries (d-TGA) and aortic stenosis (AS), and the predominance of vaginal deliveries over cesarean deliveries suggested significant improvements in prenatal and perinatal care in Poland.

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Selected data from the Polish National Prenatal Cardiac Pathology Registry from the year 2016

Abstract

Introduction: Analysis have been subjected to evaluate standard data reports from the Polish National Prenatal Cardiac Pathology Registry from the year 2016, compared to previous years. Material and methods: The methodology of this work was comparison of the data from previous years that have been published in the Prenatal Cardiology and records generated in www. orpkp.pl from the year 2016. The total number of records entered in the Registry in the year 2016 was n=774. Results: Top 10 most common prenatal CHD in 2016 were such as follow: HLHS, AVSD, VSD, d-TGA, TOF, AvS, muscular VSD, Aberrant origin R subclavian artery, RAA, CoA. In the centers Lodz and Krakow the most common prenatal congenital heart defects were severe CHD requiring surgery in 1 st month of life. In the contrast, in Warsaw the first place was taken by a “critical heart defects” regardless whether cardiac surgery was planned in first week (contemporary definition of prenatal critical heart defects) or first month - contemporary definition of severe planned heart defects of postnatal life. Conclusion: The fact that in 2016 most common cause of referrals to targeted the fetal chocardiography was abnormal, large vessels view and not the abnormal 4 chamber view of the heart, suggests more and better training of hysicians performing the screening or basic study of fetal heart in Poland.

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Methods for Determining the Impact of the Temporal Trend in the Valuation of Land Property

Abstract

The presented case study is to provide various methods of determining the impact of the time trend on the changes in transaction prices of undeveloped land properties. The basis for each property valuation is an analysis of the local market, where the valued property is located. This analysis lies in the implementation of activities related to determining the trend of changes in the prices of real estate and their update on the valuation date, as well as in determining the impact of the various attributes of a property on the formation of a unit transaction price. The valuer making a valuation of a property is required to take into account the changes in price which occur as a result of the passage of time. The price adjustment is done properly if all the changes in price during a certain period of time are taken into consideration. In order to determine the trend of transaction prices, one can use:

- a method of comparing property prices by similar pairs,

- linear and nonlinear additive models,

- nonlinear multiplicative models (e.g., in the form of a multiplicative exponential function, power).

The choice of the right method of updating transaction prices depends on the sample size adopted for the analysis of the real estate market. It is also crucial to select the right representative real estate database that best reflects the tested reality.

A practical and theoretical research method of the time trend was developed using undeveloped land property price data. An analysis of determining the impact of time on real estate prices has been presented using each of the above mentioned mathematical models.

The object of the study was the local market of undeveloped land properties, including sale and purchase transactions conducted in Stoczek Łukowski. A merit analysis of the methods used and a comparison of the obtained results have also been provided.

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Polish National Registry for Fetal Cardiac Malformations (www.orpkp.pl) and negative verifications during the 10 years

Abstract

Polish National Registry for Fetal Cardiac Malformations ( initiated in 2004) was opened for primary practicioners as well as for the referral centers performing or basic fetal heart evaluation or targeted fetal echocardiography. None of the physicians until current era had regular education of fetal cardiology . It was necessary to create an audit - veryfication system, which was provided as a checking each record by the 3 most experienced fetal cardiologists in Poland, using randomised computer system. The aim of this analysis was a retrospective evaluation of „Negatively Verified”

Material and methods: The total number of fetuses in Registry during 2004 and 2013 was 5682 and there were 170 negative verified cases. Every „negative case” was analyzed and qualified to one of five categories: An error in classification of the severity of CHD ; computer mistakes , reported other prenatal problems but not CHD, different interpretation of the images (freezed frames or cine loops) and bad order of the labels of cardiac anomalies.

Results: The percentage of negative verifications was similar every year and total number of negative verification was 2,9% . The main reason for negative was first of all unproper fetal heart classification in 71 cases (42%). In majority the differences in interpretations were minor: but there were 5 huge differences between primary and secondary interpretation.

Conclusions:

1) Fetal heart cardiology requires prenatal heart classification instead of pediatric classification

2) Computer mistakes (missing fields, missing diagnoses, lack of freezed frames or cine-loops) shoud be picked up by the system during up-loading of the cases

3) The different interpretation of the images could be used for teaching purpose of fetal cardiology .

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Bulgarian Experience with Adverse Drug Reaction Reports from Patients and Consumers – Retrospective Data-base Study

Abstract

Background: Since 2012, in compliance with the changes in the European legislation, the Bulgarian Drug Agency (BDA) has been receiving adverse drug reaction (ADR) reports directly from patients as well as from healthcare professionals and marketing authorization holders (MAH). Adverse reaction reports from patients and consumers have different characteristics from those sent by healthcare professionals. Moreover, they may require specific algorithm and assessment methods in order to be informative and beneficial to the pharmacovigilance system.

Aim: The study aims to analyze the data-base of consumer reports in Bulgaria in order to distinguish and classify the main characteristics of the ADR reports from non-healthcare professionals.

Materials and methods: In-depth analysis of the Bulgarian data-base of consumer ADR reports for 2012-2016 was conducted. The criteria include patient demographic characteristics, preferred method of reporting, seriousness and expectedness criteria and most frequently reported pharmacological groups.

Results: The data showed the current trends in patient reporting in the country. It also marked new courses for development of the spontaneous reporting system and collection of safety data. The analysis of the data-base showed a rather stable level of patient reporting with a tendency for constant growth every year. Bulgaria follows the world tendencies for high number of reports for insufficiently studied ADRs which meet the seriousness criteria. The review of the most frequently reported ATC codes could lead to the conclusion that the current pharmacovigi-lance methods are not sensitive enough for specific groups of medicines.

Conclusions: The results from the conducted study confirm the importance of patient reporting as a valuable source of information on adverse drug reactions. Moreover, it draws the attention to the lack of more sensitive methods for evaluation of drug safety in specific pharmacological groups. Maintenance of consumer-friendly ADR reporting system and innovative assessment algorithms should be the future directions for development in post-marketing surveillance.

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Integration of Image and Laser Scanning Data Based on Selected Example

Abstract

The paper aims at presentation of results of research on integration of image and laser data based on selected example. Since a few years the authors have been conducting research on processing image data, and those obtained from laser scanning in the form of the so-called point cloud. In experiments data from terrestrial and mobile laser scanning gained for two different objects were compared: a parish house from Goźlice located in the open-air ethnographic museum at the village of Tokarnia, Poland, and part of the Cracow-Warsaw railway line. The results of those experiments proved that data in the form of point cloud were not always sufficient for a precise 3D model reconstruction. Supplementing point clouds with photogrammetric images seems to be the best solution.

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Evaluation of Macroinvertebrate Data Based on Autoecological Information

Abstract

Various data (biological, chemical, hydrological and morphological) have been gathered within the frame of the monitoring of the Water Framework Directive from 2007 in Hungary. This data only used a status assessment of certain water bodies in Hungary. The macroinvertebrates indicate many environmental factors well; therefore, they are very useful in detecting changes in the status of an environment. The main aim in this research was to investigate changes in environmental variables and decide how these variables cause big changes in the macroinvertebrate fauna. The macroinvertebrate data was processed using the ASTERICS 4.0.4 program. The program calculated some important metrics (i.e., microhabitat distributions, longitudinal zonation, functional feeding guilds, etc.). These metrics were compared with the chemical and hydrological data. The main conclusion is that if we have enough of a frequency and quality of macroinvertebrate data, we can understand changes in the environment of an ecosystem.

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