International Growth Strategies of Small and Medium-Sized Enterprises in Infocom Sector

Tutkimuksen päätavoite on selvitää infocom-toimialan pk-yritysten kansainväliset kasvustrategiat. Aluksi on tarkasteltu kasvua edesauttaneita ja hidastaneita tekijöitä, jotka muodostavat pohjan kansainvälisen kasvun suunnittelulle. Näiden pohjalta on aikaisemmin esitettyihin teoriamalleihin ja yritysten kansainvälistymisen asteeseen yhdistettynä määritelty infocom-toimialan pk-yrityksten kansainväliset kasvustrategiavaihtoehdot. Tutkimuksen tarkasteluun on vaikuttanut born global-ilmiö, jonka pääpiirre on nopea kansainvälistyminen yrityksen aikaisessa kehitysvaiheessa. Työn empiirisessä osassa on havainnollistettu teoriassa käsiteltyjä kansainväliseen kasvuun liittyviä tekijöitä. Empiirisessä osassa on käytetty sekä kvantitatiivisia että kvalitatiivisia menetelmiä. Kvantitatiivinen survey tutkimus on pohjautunut aineistoon, joka on kerätty vuosina 1999-2000 Telecom Business Research Centerissä Lappeenrannassa. Kvalitatiivisessa case-tutkimuksessa on haastateltu infocom-toimialan pk-yrityksiä. Nopeasti kehittyvän infocom-toimialan pk-yrityksille kansainvälistyminen on haaste ja tärkein menestyksen edellytys. Pk-yritysten kasvuresurssit ovat rajalliset, mutta lisääntyvän verkostoitumisen myötä on yritysten välisestä yhteistyöstä saavutettu etuja, jotka ovat mahdollistaneet kansainvälisen kasvun. Markkinoiden muutosnopeus on suuri ja siksi strategisen suunnittelun aikaväli lyhenee. Kansainvälisiä kasvustrategioita muodostettaessa yritykset joutuvat samanaikaisesti turvautumaan useampaan eri kasvustrategiaan, joiden yhdistelmänä yritysten merkittävimmäksi kasvustrategiaksi muodostuvat hybridit kasvustrategiat.

Quantification and Clinical Relevance of Cystatin C

An aging population and increasing rates of diabetes mellitus contribute to a high prevalence of kidney dysfunction – approximately 10 percent of adults in developed countries have chronic kidney disease (CKD). CKD is a progressive loss of kidney function and this remains permanent. Early recognition of this condition is important for prevention or impeding severe adverse cardiac and renal outcomes. Cystatin C is a low molecular weight cysteine protease inhibitor that has emerged as a biomarker of kidney function. The special potential of plasma cystatin C in this setting is related to its independency of muscle mass, which is a remarkable limitation of the traditional marker creatinine. Cystatin C is a sensitive marker in diagnosing mild and moderate CKD, especially in small children, in the elderly and in conditions where muscle mass is affected. Cystatin C is quantified with immunoassays, mainly based on particle-enhanced nephelometry (PENIA) or turbidimetry (PETIA). The aim of this study was to develop a rapid and reliable assay for quantification of human cystatin C in plasma or serum by utilizing time-resolved fluorescence-based immunoassay methods. This was accomplished by utilizing different antibodies, including polyclonal and 7 monoclonal antibodies against cystatin C. Different assay designs were tested and the best assay was further modified to a dry-reagent double monoclonal assay run on an automated immunonalyzer. This assay was evaluated for clinical performance in estimating reduced kidney function and in predicting risk of adverse outcomes in patients with non-ST elevation acute coronary syndrome. Of the tested assay designs, heterogeneous non-competitive assay had the best performace and was chosen to be developed further. As an automated double monoclonal assay, this assay enabled a reliable measurement of clinically relevant cystatin C concentrations. It also showed a stronger concordance with the reference clearance method than the conventional PETIA method in patients with reduced kidney function. Risk of all-cause mortality and combined events, defined by death and myocardial infarction, increased with higher cystatin C and cystatin C remained an independent predictor of death and combined events after adjustment to nonbiochemical baseline factors. In conclusion, the developed dry-reagent double monoclonal assay allows rapid and reliable quantitative measurement of cystatin C. As measured with the developed assay, cystatin C is a potential predictor of adverse outcomes in cardiac patients.

Thinning response and growth trends of seeded Scots pine stands at the arctic timberline

Abstract

Identification of research trends in the field of separation processes. Application of epidemiological model, citation analysis, text mining, and technical analysis of the financial markets

Choice of industrial development options and the relevant allocation of the research funds become more and more difficult because of the increasing R&D costs and pressure for shorter development period. Forecast of the research progress is based on the analysis of the publications activity in the field of interest as well as on the dynamics of its change. Moreover, allocation of funds is hindered by exponential growth in the number of publications and patents. Thematic clusters become more and more difficult to identify, and their evolution hard to follow. The existing approaches of research field structuring and identification of its development are very limited. They do not identify the thematic clusters with adequate precision while the identified trends are often ambiguous. Therefore, there is a clear need to develop methods and tools, which are able to identify developing fields of research. The main objective of this Thesis is to develop tools and methods helping in the identification of the promising research topics in the field of separation processes. Two structuring methods as well as three approaches for identification of the development trends have been proposed. The proposed methods have been applied to the analysis of the research on distillation and filtration. The results show that the developed methods are universal and could be used to study of the various fields of research. The identified thematic clusters and the forecasted trends of their development have been confirmed in almost all tested cases. It proves the universality of the proposed methods. The results allow for identification of the fast-growing scientific fields as well as the topics characterized by stagnant or diminishing research activity.