Brucelossis is a zoonosis, a disease transferable to people, with a potential serious effect on human health. In 2008, a diagnostic survey of brucelossis in small ruminants in Bosnia and Herzegovina ...was carried out. In this survey, 359.124 animals were examined, and 19.192 or 5,4% of them were positive on brucelossis. The survey showed a higher prevalece then was expected based on the results of the previous surveys, so the national strategy for brucelossis eradication based on the extensive vaccination, was created (5). The aim of this survey was to, based on the existing statistical information, verify if the prevalence of brucelossis in ruminants decreased by the end of 2012 in the Una–Sana Canton. All collected samples were divided in two groups. The first group consisted of the samples from 2008 and 2009, before and after the extensive vaccination of the small ruminants was implemented by Law. The second group consisted of the samples from 2010, 2011 and 2012, when the animal vaccination was implemented. In the first group, a total of 78.193 samples were examined, and 2.930 or 3,74% were positive. In the second group, a total of 65.044 samples were examined, and 196 or 0,30% were positive. Keywords: brucelossis, vaccination, samples.
S-curve model is one of the fundamental expressions that give generic description of technological development. Introduction of a new technology is often a big step for company and can be implemented ...in various ways, frequently producing negative transition gap referred as S-curve gap. Consequently, it raises costs of transition and brings the company in the situation in which the users cannot achieve the same efficiency as they could with old technology. Having this in mind, it is important for companies to determine optimal point and modus for replacing an old technology with a new one. Technology lifecycle described with S-curve can be mathematically represented with a function extrapolated from data about technology itself. That enforces the idea of mathematical modeling of this particular problem, and using this model to forecast technology growth and optimal point of introduction of the new technology. Mathematical expressions that describe S-curves are often referred as growth curves. Growth curves are using data from the past and presence to forecast the technology growth in the future. Often transformation of old information systems to new ones is followed with number of organizational and business efficiency problems. Technology transformation creates additional burden to the organization mechanics and has a serious impact on overall business dynamics. Although, all IT professional have experienced, this has not been sufficiently researched or documented. In this paper we give an overview of S-curve model, mathematical representations, using mathematical models and problems related to S-curve gap with mathematical interpretation, as well as research data on technology transformation among several top BiH companies.
S-curve model is one of the fundamental expressions that give generic description of technological development. Introduction of a new technology is often a big step for company and can be implemented ...in various ways, frequently producing negative transition gap referred as S-curve gap. Consequently, it raises costs of transition and brings the company in the situation in which the users cannot achieve the same efficiency as they could with old technology. Having this in mind, it is important for companies to determine optimal point and modus for replacing an old technology with a new one. Mathematical expressions that describe S-curves are often referred as growth curves. Growth curves are using data from the past and presence to forecast the technology growth in the future. In this paper the authors give an overview of S-curve model, mathematical representations, using mathematical models and problems related to S-curve gap with mathematical interpretation, as well as research data on technology transformation among several top BiN companies.
