988 resultados para 1303 Specialist Studies in Education


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The introduction describes productive forest in Queensland and summaries the principles of native forest management that achieve optimum productivity. Case study 1 deals with thinning an even-aged regrowth forest. It shows how thinning the stand actively manages the future composition and structure to improve productivity in the best stems and increase the commercial value of the next harvest. Case study 2 describes restoring productivity in a high-graded spotted gum - ironbark forest. It shows that defective and non-saleable trees should be removed so they do not repress the future stand; and that regeneration should be thinned, retaining the best trees in adequate growing space. Case study 3 discusses on-farm value adding for hardwood forests. It shows how long-term viability and maximum productivity and returns depend on the best management practices and knowing how to obtain the best returns from a range of forest products. Case study 4 examines integrated harvesting in a eucalypt forest. It shows how integrating the harvest enables the full range of timber products are harvested and sold for their maximum value while reducing the amount of waste.

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1H and 19F spin-lattice relaxation times in polycrystalline diammonium hexafluorozirconate have been measured in the temperature range of 10–400 K to elucidate the molecular motion of both cation and anion. Interesting features such as translational diffusion at higher temperatures, molecular reorientational motion of both cation and anion groups at intermediate temperatures and quantum rotational tunneling of the ammonium group at lower temperatures have been observed. Nuclear magnetic resonance (NMR) relaxation time results correlate well with the NMR second moment and conductivity studies reported earlier.

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Sleep deprivation leads to increased subsequent sleep length and depth and to deficits in cognitive performance in humans. In animals extreme sleep deprivation is eventually fatal. The cellular and molecular mechanisms causing the symptoms of sleep deprivation are unclear. This thesis was inspired by the hypothesis that during wakefulness brain energy stores would be depleted, and they would be replenished during sleep. The aim of this thesis was to elucidate the energy metabolic processes taking place in the brain during sleep deprivation. Endogenous brain energy metabolite levels were assessed in vivo in rats and in humans in four separate studies (Studies I-IV). In the first part (Study I) the effects of local energy depletion on brain energy metabolism and sleep were studied in rats with the use of in vivo microdialysis combined with high performance liquid chromatography. Energy depletion induced by 2,4-dinitrophenol infusion into the basal forebrain was comparable to the effects of sleep deprivation: both increased extracellular concentrations of adenosine, lactate, and pyruvate, and elevated subsequent sleep. This result supports the hypothesis of a connection between brain energy metabolism and sleep. The second part involved healthy human subjects (Studies II-IV). Study II aimed to assess the feasibility of applying proton magnetic resonance spectroscopy (1H MRS) to study brain lactate levels during cognitive stimulation. Cognitive stimulation induced an increase in lactate levels in the left inferior frontal gyrus, showing that metabolic imaging of neuronal activity related to cognition is possible with 1H MRS. Study III examined the effects of sleep deprivation and aging on the brain lactate response to cognitive stimulation. No physiologic, cognitive stimulation-induced lactate response appeared in the sleep-deprived and in the aging subjects, which can be interpreted as a sign of malfunctioning of brain energy metabolism. This malfunctioning may contribute to the functional impairment of the frontal cortex both during aging and sleep deprivation. Finally (Study IV), 1H MRS major metabolite levels in the occipital cortex were assessed during sleep deprivation and during photic stimulation. N-acetyl-aspartate (NAA/H2O) decreased during sleep deprivation, supporting the hypothesis of sleep deprivation-induced disturbance in brain energy metabolism. Choline containing compounds (Cho/H2O) decreased during sleep deprivation and recovered to alert levels during photic stimulation, pointing towards changes in membrane metabolism, and giving support to earlier observations of altered brain response to stimulation during sleep deprivation. Based on these findings, it can be concluded that sleep deprivation alters brain energy metabolism. However, the effects of sleep deprivation on brain energy metabolism may vary from one brain area to another. Although an effect of sleep deprivation might not in all cases be detectable in the non-stimulated baseline state, a challenge imposed by cognitive or photic stimulation can reveal significant changes. It can be hypothesized that brain energy metabolism during sleep deprivation is more vulnerable than in the alert state. Changes in brain energy metabolism may participate in the homeostatic regulation of sleep and contribute to the deficits in cognitive performance during sleep deprivation.

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Autoimmune diseases affect 5 % of the population and come in many forms, such as diabetes, rheumatoid arthritis and MS. However, how and why autoimmune diseases arise are not yet fully resolved. In this thesis, the onset of autoimmunity was investigated using both patient samples and a mouse model of autoimmunity. Autoimmune diseases are usually complex, due to a number of different causative genes and environmental factors. However, a few monogenic autoimmune diseases have been described, which are caused by mutations in only one gene per disease. One of such disease is called APECED (autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy) and is enriched in the Finnish population. The causative gene behind APECED is named AIRE from AutoImmune REgulator. How malfunction of just one gene product can cause the multitude of disease components found in APECED is not yet resolved. This thesis sought out to find out more about the functions of AIRE, in order to reveal why APECED and other autoimmune diseases arise and what goes wrong? Usually, immune cells are taught to distinguish between self and non-self during their development. That way, immune cells can fight off bacteria and microbes while leaving the tissues and organs of the host organism itself unharmed. In APECED, the development of immune cells called αβ T cells is incomplete. The cells are not able to fully distinguish between self and non-self. This leads to autodestruction of self tissues and autoimmune disease. One of the achievements of this thesis was the finding that the development of another set of T cells called γδ T cells is not affected by AIRE in mice or in men. Instead, we found that another type of immune cell important in tolerance, called the dendritic cell is defective in APECED patients and is not able to respond to microbial stimulus in a normal fashion. Finally, we studied Aire-deficient mice and found that autoantibodies expressed in the mice were not targeted against the same molecules as those found in APECED patients. This indicates differences in the autoimmune pathology in mice and men. More work is still required before we understand the mechanisms of tolerance and autoimmunity well enough to be able to cure APECED, let alone the more complex autoimmune diseases. Yet altogether, the findings of this thesis work bring us one step closer to finding out why and how APECED and common autoimmune diseases arise.

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The antinociceptive properties of oxycodone and its metabolites were studied in models of thermal and mechanical nociception and in the spinal nerve ligation (SNL) model of neuropathic pain in rats. Oxycodone induced potent antinociception after subcutaneous (s.c.) administration in all models of nociception used in rats compared with morphine, methadone and its enantiomers. In the SNL model of neuropathic pain in rats, oxycodone produced dose dependent antinociception after s.c. administration. The antinociceptive effects of s.c. oxycodone were antagonized by naloxone but not by nor-binaltorphimine (Nor-BNI) a selective κ-opioid receptor antagonist indicating that the antinociceptive properties of oxycodone are predominantly μ-opioid receptor-mediated. The antinociceptive activity of oxymorphone, noroxycodone, and noroxymorphone, oxidative metabolites of oxycodone, were studied to determine their role in the oxycodone-induced antinociception in the rat. Of the metabolites of oxycodone s.c. administration of oxymorphone produced potent thermal and mechanical antinociception. Noroxycodone had a poor antinociceptive effect and noroxymorphone was inactive. Oxycodone produced naloxone-reversible antinociception after intrathecal (i.t) administration with a poor potency compared with morphine and oxymorphone. This seems to be related to the low efficacy and potency of oxycodone to stimulate μ-opioid receptor activation in the spinal cord in μ-opioid receptor agonist-stimulated (GTP)γ[S] autoradiography, compared with morphine and oxymorphone. All metabolites studied were more potent than oxycodone after i.t. administration. I.t. noroxymorphone induced a significantly longer lasting antinociceptive effect compared with the other drugs studied. The role of cytochrome P450 (CYP) 2D6-mediated metabolites on the analgesic activity of oxycodone in humans was studied by blocking the CYP2D6-mediated metabolism of oxycodone with paroxetine. Paroxetine co-administration had no effect on the analgesic effect of oxycodone compared with placebo in chronic pain patients, indicating that oxycodone-induced analgesia and adverse-effects are not dependent of the CYP2D6-mediated metabolism in humans. Although oxycodone has many pharmacologically active metabolites, they seem to have an insignificant role in oxycodone-induced antinociception in humans and rats.

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Cyclosporine-A (CsA) is widely used after organ transplantation to prevent rejection and in the treatment of autoimmune diseases. Hypertension and nephrotoxicity are common side-effects of CsA. Studies in patients on the prevention of the side-effects of CsA are difficult to conduct because the patients often receive a combination of different drugs thus making study of the side-effects of a single drug impossible. A challenge in experimental studies has been the lack of an animal model in which the side-effects concomitantly occur. Epidemiological data show an association between sodium (Na) intake and blood pressure. There is also evidence on low dietary intake of magnesium (Mg) and potassium (K) and high blood pressure. Our study was designed to develop an experimental model to study the side-effects of CsA in spontaneously hypertensive rats (SHR). On high dietary sodium, CsA caused hypertension, left ventricular hypertrophy (LVH), narrowing of the coronary arteries, small myocardial infarctions, and proteinuria, reduced creatinine clearance and histopathological renal injury in SHR. Loss of Mg into the urine caused by CsA resulted in Mg depletion in the tissues. Renal excretion of dopamine was reduced and the renin-angiotensin-aldosterone system was activated. We investigated the effects of dietary Mg and/or K and the calcium antagonist drug, isradipine, on the prevention of CsA toxicity. Dietary supplementation of Mg alone or in combination with K prevented from the deleterious pathophysiological and histopathological changes in the kidneys and the heart. K alone had little effect. Isradipine protected better than Mg from LVH, but the combination of isradipine and Mg was the most effective. Isradipine did not, however, protect against Mg loss. In our animal model, the combination of high dietary Na and treatment with CsA accelerated the development of the cardiovascular and renal changes clinically known as the side-effects of CsA. Dietary supplementation of Mg and K and reduction of Na intake and the calcium antagonist drug isradipine prevent from the deleterious effects of CsA.

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The temperature variation of the 3’Cl n.q.r. frequencies in 3,5- and 2,3- dichloroanisoles has been reported here. Both compounds show two lines each, and these have been assigned to the two chlorines in the same molecule with the help of the additive model for the substituent effect. The temperature dependence has been analysed in terms of Bayer-Kushida-Brown model.The torsional frequencies and their temperature dependence have been calculated numerically under a two-mode approximation. 0.n comparing the results in 3,5-dichloroanisole with those in 3,5-dichlorophenol it can be seen that they show similar behaviour owing to the absence of hydrogen bonding in both.

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Soils represent a remarkable stock of carbon, and forest soils are estimated to hold half of the global stock of soil carbon. Topical concern about the effects of climate change and forest management on soil carbon as well as practical reporting requirements set by climate conventions have created a need to assess soil carbon stock changes reliably and transparently. The large spatial variability of soil carbon commensurate with relatively slow changes in stocks hinders the assessment of soil carbon stocks and their changes by direct measurements. Models therefore widely serve to estimate carbon stocks and stock changes in soils. This dissertation aimed to develop the soil carbon model YASSO for upland forest soils. The model was aimed to take into account the most important processes controlling the decomposition in soils, yet remain simple enough to ensure its practical applicability in different applications. The model structure and assumptions were presented and the model parameters were defined with empirical measurements. The model was evaluated by studying the sensitivities of the model results to parameter values, by estimating the precision of the results with an uncertainty analysis, and by assessing the accuracy of the model by comparing the predictions against measured data and to the results of an alternative model. The model was applied to study the effects of intensified biomass extraction on the forest carbon balance and to estimate the effects of soil carbon deficit on net greenhouse gas emissions of energy use of forest residues. The model was also applied in an inventory based method to assess the national scale forest carbon balance for Finland’s forests from 1922 to 2004. YASSO managed to describe sufficiently the effects of both the variable litter and climatic conditions on decomposition. When combined with the stand models or other systems providing litter information, the dynamic approach of the model proved to be powerful for estimating changes in soil carbon stocks on different scales. The climate dependency of the model, the effects of nitrogen on decomposition and forest growth as well as the effects of soil texture on soil carbon stock dynamics are areas for development when considering the applicability of the model to different research questions, different land use types and wider geographic regions. Intensified biomass extraction affects soil carbon stocks, and these changes in stocks should be taken into account when considering the net effects of forest residue utilisation as energy. On a national scale, soil carbon stocks play an important role in forest carbon balances.