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P. , Kumar S. , Satija M. P. ( 2012 ), Problems in searching online databases: A case study of select central university libraries in India . DESIDOC Journal of Library and Information Technology , 32 ( 1 ), 59 – 63

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Ceri S., Gottlob G., Tanca L. Logic programming and databases , Springer, Berlin, 1990. Tanca L. Logic

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In this paper two different password databases are compared. Both of them had only Hungarian human-generated passwords. The first database contained user passwords relating to the authorization mechanism of online banking transactions, while the second one contained passwords relating to the authorization of opening newsletters. The first aim of this paper was to analyze both databases and find differences and similarities between them. The second aim was to develop a method of decrypting the most Hungarian hashed passwords in a given time unit.

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A database of potentially biologically active peptide sequences, named BIOPEP (http://www.uwm.edu.pl/biochemia), has been developed and applied for classification of numerous food proteins as potential sources of peptides with antihypertensive activity. More than one hundred proteins included in the BIOPEP database were analyzed and classified according to the frequency of the occurrence of antihypertensive fragments. As the example of detailed profile of potential biological activity, the bovine beta-globulin A is presented. It was found that apart from the dominant antihypertensive activity, other effects (opioid, dipeptidyl peptidase IV inhibitory, immunomodulative, antioxidative) may be present. It can be concluded that this method may be a useful tool in this field. The antihypertensive activity was the most dominant because fragments with such activity were present in all of the examined proteins. It encouraged us to classify proteins into families, which may be better or the worse source of antihypertensive fragments. We found statistically significant differences between the values of parameter A (P<0.001) among the all five families we obtained. We found that in silico analysis can be useful in the analysis of the large quantities of data in the field of proteins as the source of biologically active peptides.

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, interpreting and evaluating the data, and execution of management part in a correct measure and time [ 1 ]. Since 1962 (based on the Scopus database) authors coming from different parts of the world have shown interest in writing papers in precision agriculture

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exercise. Typically, these jobs include pilots, firefighters, air traffic controllers, ambulances. The purpose of this research is to create a system that can quantify the fatigue and fitness status of a person and store this data in a database. The

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. Compilation of a 3D soil physical database for the unsaturated zone, 19th World Congress of Soil Science, Soil Solutions for a Changing World , Brisbane, Australia, 1–6 August 2010, Published on DVD. Szabó J

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Abstract

Liquefaction potential of soils under the risk of seism is usually assessed by using correlation formulas that are based on field tests and historical earthquakes databases. These correlations depend on the site where they were derived. To use them for other sites where seismic history is not available, further investigation is needed. In this work, a one-dimensional modelling of liquefaction phenomenon is performed by using DeepSoil software. The soil data required for simulations were obtained from field tests consisting of core sampling and cone penetration testing. Using reliability analysis, the probability of liquefaction was estimated for sandy soils located in the Moroccan city of Tangier. The obtained results were found to be close to predictions due to Juang semiempirical approach.

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It is well known that the civil engineering constructions are subjected to cost risk and time overruns. The uncertainties of the cost of construction many times result in disputes among stakeholders. The recent cost fluctuation in sand price in Tamil Nadu is a good example of time and cost overruns. There are too many models developed to predict the cost of construction by using different parameters and tools. The objectives of this research are to analyse the importance of research in this field, the countries focusing on this issue, level of implementation by the practicing engineers, the tools often or successfully used, the difficulties in predicting the cost and the accuracy of prediction and bringing out a useful conclusion to provide the direction for future research. In this research, a sample of 324 research papers out of more than 2000 papers listed in Scopus database between the years 1990 and 2015 were considered and analyzed on five factors. The five factors are 1) authors affiliation – academics, industry or both; 2) country; 3) tools used – ANN, regression, time-series models, etc.; 4) complexity involved or ease of use; 5) accuracy of results. The results show interesting information.

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Global Meteorological Database for Solar Energy and Applied Meteorology Meteonorm . Poirazis , H. ( 2004 ) Double skin facades for office buildings — literature review, Report EBD-R-04

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