12 resultados para quantitative traits analysis

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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A total of over 200 different samples of bark and wood of Silver birch, Norway spruce and Scots pine were analysed. Samples were taken from several areas in western Finland, some with known sources of atmospheric heavy metal emission (Harjavalta, Ykspihlaja). Also analytical data for pine needles from some sites are reported. The chemical analyses were performed by thick-target particle-induced X-ray emission (PIXE) spectrometry after preconcentration by dry ashing of samples at 550oC. The following elements were quantified in most of the samples: P, S, K, Ca, Mn, Fe, Ni, Cu, Zn, Rb, Sr, Cd, Ba and Pb. The ash percentage and the chemical composition of ashes of different wood materials were also obtained, as dry ashing was used in the analytical procedure. The variations in elemental concentrations in wood and bark of an individual tree, expressed as RSDs, were mostly in the range 10 – 20 %. For several trees of the same species sampled from small areas (< 1 ha), the variations in elemental concentrations were surprisingly high (RSDs 20 – 50 %). In the vicinity of metal plants, effects of strong atmospheric heavy metal pollution (pollution factor above 100) were observed in pine bark. The increase of heavy metal content in wood samples from the same sites was quite small. Elemental concentrations in ashes of bark and wood, from areas with no local source of atmospheric pollution, were relatively uniform. Based on this observation an alternative way of demonstrating atmospheric pollution of tree bark is discussed.

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Hankintojen johtamisen kirjallisuus korostaa tehokkaan hankinnan olevan käypä keino tehostaa organisaation tulosta kokonaisvaltaisesti. Myös kasvava tietoisuus erityisesti epäsuorista hankintamenetelmistä ja työkaluista toimivat kannustimina tälle tutkimukselle. Tämän Pro Gradu -tutkimuksen päätarkoituksena on rakentaa kokonaisvaltainen ymmärrys epäsuorasta hankinnasta sekä löytää keinoja sen tehostamiseksi. Tutkimuksen tavoitteena on selvittää, miten globaali, monikansal- linen organisaatio voi parantaa kannattavuuttaan epäsuorissa hankinnoissa, sekä mitkä tekijät hankintastrategiassa vaikuttavat siihen. Tutkimus toteutettiin yksittäisenä tapaustutkimuksena suuren globaalin, monikan- sallisen yrityksen työntekijän näkökulmasta, Pääosa datasta pohjautuu vuonna 2015 toteutettuun Opportunity -analyysi projektiin, joka toteutettiin yhteistyössä ulkoisen konsulttifirman kanssa. Osa datasta pohjautuu puolistrukturoituihin haas- tatteluihin organisaation hankintajohtajan kanssa. Datan keruussa hyödynnettiin lisäksi henkilökohtaista havainnointia ja sekundääristä aineistoa organisaatiosta. Tämä Pro Gradu tutkimus on toteutettu kvalitatiivisella otteella, sisältäen joitakin kvantitatiivisia metodin piirteitä.

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The paper industry has been experiencing remarkable structural changes since paper demand growth has ceased and some markets are declining. One reason behind the declined demand is the Internet, which has partially substituted the newspaper as a source of information. Paper products alone can no longer provide livelihood, and the paper industry has to find new business areas. In this research, we studied radio frequency identification (RFID), and the market opportunities it could provide for paper industry. The research combined a quantitative industry analysis and qualitative interviews. RFID is a growing industry in the beginning of its life cycle, in which value chains and technologies still evolve significantly. The industry is going to concentrate on the future, and in the long term RFID-identifiers will probably be printed on paper substrate or directly onto products. Paper industry has the chance to enter the RFID industry, but it has to obtain the required competences, for example through acquisitions. The business potential RFID offers to paper industry is inadequate, and while reviewing new strategic options, the paper industry must consider more options, for example the entire printed intelligence.

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Education in Finland plays a significant role. International students are becoming an essential part of Finnish Educational system. The study was meant to examine their expectations and experiences in a Finnish University. As a case, Lappeenranta University of Technology (LUT) was chosen and, in particular, Information Technology (IT) Department. The main objectives of the study were to examine students’ satisfaction of their study experiences, their evaluation of the teaching quality of courses and last but not least the cultural impact on those. Data for the study were mainly collected with the help of three Internet surveys from a sample of 50 students – currently studying at LUT or already graduated. Response rate from questionnaire to questionnaire varied, however, still close to average and was considered as good and relevant enough. The study was initially meant as qualitative, however, a number of quantitative data analysis methods were used as well. Most of students’ expectations appear to become true, majority of students are satisfied with their experiences. Results show that teaching quality in LUT is evaluated as ‘good’. Nevertheless, students prefer particular courses to the other ones. In conclusion, it can be said that culture does affect students’ expectations, experiences, perception of the world, however, cultural differences do not cause any serious problems.

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Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy(CADASIL) is the most common hereditary small vessel disease (SVD) leading to vascular dementia. The cause of the disease is mutations in NOTCH3 gene located at chromosome 19p13.1. The gene defect results in accumulation of granular osmiophilic material and extracellular domain of NOTCH3 at vascular smooth muscle cells (VSMCs) with subsequent degeneration of VSMCs. This arteriopathy leads to white matter (WM) rarefaction and multiple lacunar infarctions in both WM and deep grey matter (GM) visible in magnetic resonance imaging. This thesis is focused on the quantitative morphometric analysis of the stenosis and fibrosis in arterioles of the frontal cerebral WM, cortical GM and deep GM (lenticular nucleus (LN), i.e. putamen and globus pallidus). It was performed by assessing four indicators of arteriolar stenosis and fibrosis: (1) diameter of arteriolar lumen, (2) thickness of arteriolar wall, (3) external diameter of arterioles and (4) sclerotic index. These parameters were assessed (a) in 5 elderly CADASIL patients with the mean age of onset 47 years and of death 63 years, (b) in a 32-year-old young CADASIL patient with the first ischemic episode at the age of 29 years and (c) a very old CADASIL patient aged 95 years, who suffered the first stroke at the age of 71 years. These measurements were compared with age-matched controls without stroke, dementia, hypertension, and cerebral amyloid angiopathy. Morphometric analyses disclosed that in all age groups of CADASIL patients compared to corresponding controls there was significant narrowing of arteriolar lumen (stenosis) and fibrotic thickening of the walls (fibrosis) in the WM arterioles, although the significance of stenosis in the very old patient was marginal. In the LN arterioles there was only significant fibrosis without stenosis. These results suggest that the ischemic lesions and lacunar infarcts in the cerebral WM are mainly attributable to the stenosis of arterioles, whereas those in the LN are probably mainly due to hemodynamic changes of the cerebral blood flow. In conclusion: The SVD of CADASIL is characterized by narrowing of lumina and fibrotic thickening of walls predominantly in the cerebral WM arterioles. On the other hand, in the LN the ischemic lesions and lacunar infarcts are most probably hemodynamic due to impaired autoregulation caused by the rigidity of fibrotic arterioles. The pathological cerebral arteriolar alterations begin to develop already at a relatively young age but the onset may be delayed to a remarkably old age. This underlines the well known great variability in the clinical picture of CADASIL. The very late onset of CADASIL may cause its underdiagnosis, because the strokes are common in the elderly and are attributed to common risk factors.

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In photosynthesis, light energy is converted to chemical energy, which is consumed for carbon assimilation in the Calvin-Benson-Bassham (CBB) cycle. Intensive research has significantly advanced the understanding of how photosynthesis can survive in the ever-changing light conditions. However, precise details concerning the dynamic regulation of photosynthetic processes have remained elusive. The aim of my thesis was to specify some molecular mechanisms and interactions behind the regulation of photosynthetic reactions under environmental fluctuations. A genetic approach was employed, whereby Arabidopsis thaliana mutants deficient in specific photosynthetic protein components were subjected to adverse light conditions and assessed for functional deficiencies in the photosynthetic machinery. I examined three interconnected mechanisms: (i) auxiliary functions of PsbO1 and PsbO2 isoforms in the oxygen evolving complex of photosystem II (PSII), (ii) the regulatory function of PGR5 in photosynthetic electron transfer and (iii) the involvement of the Calcium Sensing Receptor CaS in photosynthetic performance. Analysis of photosynthetic properties in psbo1 and psbo2 mutants demonstrated that PSII is sensitive to light induced damage when PsbO2, rather than PsbO1, is present in the oxygen evolving complex. PsbO1 stabilizes PSII more efficiently compared to PsbO2 under light stress. However, PsbO2 shows a higher GTPase activity compared to PsbO1, and plants may partially compensate the lack of PsbO1 by increasing the rate of the PSII repair cycle. PGR5 proved vital in the protection of photosystem I (PSI) under fluctuating light conditions. Biophysical characterization of photosynthetic electron transfer reactions revealed that PGR5 regulates linear electron transfer by controlling proton motive force, which is crucial for the induction of the photoprotective non-photochemical quenching and the control of electron flow from PSII to PSI. I conclude that PGR5 controls linear electron transfer to protect PSI against light induced oxidative damage. I also found that PGR5 physically interacts with CaS, which is not needed for photoprotection of PSII or PSI in higher plants. Rather, transcript profiling and quantitative proteomic analysis suggested that CaS is functionally connected with the CBB cycle. This conclusion was supported by lowered amounts of specific calciumregulated CBB enzymes in cas mutant chloroplasts and by slow electron flow to PSI electron acceptors when leaves were reilluminated after an extended dark period. I propose that CaS is required for calcium regulation of the CBB cycle during periods of darkness. Moreover, CaS may also have a regulatory role in the activation of chloroplast ATPase. Through their diverse interactions, components of the photosynthetic machinery ensure optimization of light-driven electron transport and efficient basic production, while minimizing the harm caused by light induced photodamage.

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Optical microscopy is living its renaissance. The diffraction limit, although still physically true, plays a minor role in the achievable resolution in far-field fluorescence microscopy. Super-resolution techniques enable fluorescence microscopy at nearly molecular resolution. Modern (super-resolution) microscopy methods rely strongly on software. Software tools are needed all the way from data acquisition, data storage, image reconstruction, restoration and alignment, to quantitative image analysis and image visualization. These tools play a key role in all aspects of microscopy today – and their importance in the coming years is certainly going to increase, when microscopy little-by-little transitions from single cells into more complex and even living model systems. In this thesis, a series of bioimage informatics software tools are introduced for STED super-resolution microscopy. Tomographic reconstruction software, coupled with a novel image acquisition method STED< is shown to enable axial (3D) super-resolution imaging in a standard 2D-STED microscope. Software tools are introduced for STED super-resolution correlative imaging with transmission electron microscopes or atomic force microscopes. A novel method for automatically ranking image quality within microscope image datasets is introduced, and it is utilized to for example select the best images in a STED microscope image dataset.

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Value added services are becoming increasingly popular as they increase the perceived value of the core product and can be a strong method of attracting customers and motivating them to make a choice. The purpose of this research is to develop internet-based value added services for housing estate business in Russia. The research is a case study of Russian housing estate market utilising a triangulation of methods for better results. For the qualitative data analysis, 7 interviews with heads of regional departments of construction companies from different regions of Russia were conducted. For the quantitative data analysis, a survey of 128 inhabitants of Saint-Petersburg housing estates was held. Factor analysis and descriptive statistics including cross-tabulations and chi-square tests for significance were used to analyse the results. In this study, a list 19 value added services that can be provided through online platforms in housing estate market was developed. These services fall into three big groups: social networking services, compulsory and additional services. Additionally, the question of monetisation of online platforms in housing estate market was discussed and three business models were suggested.

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The main objective of this master’s thesis was to quantitatively study the reliability of market and sales forecasts of a certain company by measuring bias, precision and accuracy of these forecasts by comparing forecasts against actual values. Secondly, the differences of bias, precision and accuracy between markets were explained by various macroeconomic variables and market characteristics. Accuracy and precision of the forecasts seems to vary significantly depending on the market that is being forecasted, the variable that is being forecasted, the estimation period, the length of the estimated period, the forecast horizon and the granularity of the data. High inflation, low income level and high year-on-year market volatility seems to be related with higher annual market forecast uncertainty and high year-on-year sales volatility with higher sales forecast uncertainty. When quarterly market size is forecasted, correlation between macroeconomic variables and forecast errors reduces. Uncertainty of the sales forecasts cannot be explained with macroeconomic variables. Longer forecasts are more uncertain, shorter estimated period leads to higher uncertainty, and usually more recent market forecasts are less uncertain. Sales forecasts seem to be more uncertain than market forecasts, because they incorporate both market size and market share risks. When lead time is more than one year, forecast risk seems to grow as a function of root forecast horizon. When lead time is less than year, sequential error terms are typically correlated, and therefore forecast errors are trending or mean-reverting. The bias of forecasts seems to change in cycles, and therefore the future forecasts cannot be systematically adjusted with it. The MASE cannot be used to measure whether the forecast can anticipate year-on-year volatility. Instead, we constructed a new relative accuracy measure to cope with this particular situation.

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Rapid changes in biodiversity are occurring globally, as a consequence of anthropogenic disturbance. This has raised concerns, since biodiversity is known to significantly contribute to ecosystem functions and services. Marine benthic communities participate in numerous functions provided by soft-sedimentary ecosystems. Eutrophication-induced oxygen deficiency is a growing threat against infaunal communities, both in open sea areas and in coastal zones. There is thus a need to understand how such disturbance affects benthic communities, and what is lost in terms of ecosystem functioning if benthic communities are harmed. In this thesis, the status of benthic biodiversity was assessed for the open Baltic Sea, a system severely affected by broad-scale hypoxia. Long-term monitoring data made it possible to establish quantitative biodiversity baselines against which change could be compared. The findings show that benthic biodiversity is currently severely impaired in large areas of the open Baltic Sea, from the Bornholm Basin to the Gulf of Finland. The observed reduction in biodiversity indicates that benthic communities are structurally and functionally impoverished in several of the sub-basins due to the hypoxic stress. A more detailed examination of disturbance impacts (through field studies and -experiments) on benthic communities in coastal areas showed that changes in benthic community structure and function took place well before species were lost from the system. The degradation of benthic community structure and function was directed by the type of disturbance, and its specific temporal and spatial characteristics. The observed shifts in benthic trait composition were primarily the result of reductions in species’ abundances, or of changes in demographic characteristics, such as the loss of large, adult bivalves. Reduction in community functions was expressed as declines in the benthic bioturbation potential and in secondary biomass production. The benthic communities and their degradation accounted for a substantial proportion of the changes observed in ecosystem multifunctionality. Individual ecosystem functions (i.e. measures of sediment ecosystem metabolism, elemental cycling, biomass production, organic matter transformation and physical structuring) were observed to differ in their response to increasing hypoxic disturbance. Interestingly, the results suggested that an impairment of ecosystem functioning could be detected at an earlier stage if multiple functions were considered. Importantly, the findings indicate that even small-scale hypoxic disturbance can reduce the buffering capacity of sedimentary ecosystem, and increase the susceptibility of the system towards further stress. Although the results of the individual papers are context-dependent, their combined outcome implies that healthy benthic communities are important for sustaining overall ecosystem functioning as well as ecosystem resilience in the Baltic Sea.

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Prostate cancer is a heterogeneous disease affecting an increasing number of men all over the world, but particularly in the countries with the Western lifestyle. The best biomarker assay currently available for the diagnosis of the disease, the measurement of prostate specific antigen (PSA) levels from blood, lacks specificity, and even when combined with invasive tests such as digital rectal exam and prostate tissue biopsies, these methods can both miss cancers, and lead to overdiagnosis and subsequent overtreatment of cancers. Moreover, they cannot provide an accurate prognosis for the disease. Due to the high prevalence of indolent prostate cancers, the majority of men affected by prostate cancer would be able to live without any medical intervention. Their latent prostate tumors would not cause any clinical symptoms during their lifetime, but few are willing to take the risk, as currently there are no methods or biomarkers to reliably differentiate the indolent cancers from the aggressive, lethal cases that really are in need of immediate medical treatment. This doctoral work concentrated on validating 12 novel candidate genes for use as biomarkers for prostate cancer by measuring their mRNA expression levels in prostate tissue and peripheral blood of men with cancer as well as unaffected individuals. The panel of genes included the most prominent markers in the current literature: PCA3 and the fusion gene TMPRSS2-ERG, in addition to BMP-6, FGF-8b, MSMB, PSCA, SPINK1, and TRPM8; and the kallikrein-related peptidase genes 2, 3, 4, and 15. Truly quantitative reverse-transcription PCR assays were developed for each of the genes for the purpose, time-resolved fluorometry was applied in the real-time detection of the amplification products, and the gene expression data were normalized by using artificial internal RNA standards. Cancer-related, statistically significant differences in gene transcript levels were found for TMPRSS2-ERG, PCA3, and in a more modest scale, for KLK15, PSCA, and SPINK1. PCA3 RNA was found in the blood of men with metastatic prostate cancer, but not in localized cases of cancer, suggesting limitations for using this method for early cancer detection in blood. TMPRSS2-ERG mRNA transcripts were found more frequently in cancerous than in benign prostate tissues, but they were present also in 51% of the histologically benign prostate tissues of men with prostate cancer, while being absent in specimens from men without any signs of prostate cancer. PCA3 was shown to be 5.8 times overexpressed in cancerous tissue, but similarly to the fusion gene mRNA, its levels were upregulated also in the histologically benign regions of the tissue if the corresponding prostate was harboring carcinoma. These results indicate a possibility to utilize these molecular assays to assist in prostate cancer risk evaluation especially in men with initially histologically negative biopsies.

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Time series of hourly electricity spot prices have peculiar properties. Electricity is by its nature difficult to store and has to be available on demand. There are many reasons for wanting to understand correlations in price movements, e.g. risk management purposes. The entire analysis carried out in this thesis has been applied to the New Zealand nodal electricity prices: offer prices (from 29 May 2002 to 31 March 2009) and final prices (from 1 January 1999 to 31 March 2009). In this paper, such natural factors as location of the node and generation type in the node that effects the correlation between nodal prices have been reviewed. It was noticed that the geographical factor affects the correlation between nodes more than others. Therefore, the visualisation of correlated nodes was done. However, for the offer prices the clear separation of correlated and not correlated nodes was not obtained. Finally, it was concluded that location factor most strongly affects correlation of electricity nodal prices; problems in visualisation probably associated with power losses when the power is transmitted over long distance.