The number of obese children has increased with almost 100 % in a few decades. Deceases like insulin-resistance and type-2 diabetes often comes with overweight and worldwide research to prevent and cure these complications is constantly approaching. This study provides with greater knowledge of what correlations there are between anthropometric measurements, insulin resistance and respiratory quotient.For this study, data from 83 children and teenagers was included. The medical records from their first visit to the pediatric science unit at Uppsala University Hospital was used. To measure basal metabolic rate (BMR), indirect respiratory calorimetrics was used to measure the respiratory ratio at rest and fasting (RQ-BMR), and blood samples were collected to analyze fs-(fasting) insulin. The anthropometric measurements that were taken were waist, waist-height-ratio (WtHR), waist-hip ratio (WHR), waist-hip-height ratio (WHtR), waist circumference (AC), waist circumference-height ratio (ACHR), sagittal abdominal diameter (SAD) and Sagittal abdominal diameter-height ratio (SADHR).Correlations between fs-insulin and WHtR, WCHR, SAD and SADHR was found for the whole group of participators in this study. The strongest correlation was to WHtR for boys and SAD for girls. The RQ-BMR correlated the best with SADHR and ACHR. No correlations between RQ-BMR were found specifically for boys or girls.

Die Steppen Kasachstans haben seit dem Zusammenbruch der Sowjetunion einen tiefgreifenden Wandel erfahren. Insbesondere die Veränderung der Landnutzung, welche traditionell von der Acker- und Weidenutzung geprägt ist, sowie die daraus resultierenden Effekte auf das Feuerregime sind aktuell noch nicht ausreichend verstanden. Das Hauptziel dieser Dissertation besteht daher in der Kartierung und Analyse der Veränderungen im Mensch-Umweltsystem des nördlichen Kasachstans seit den 1980er Jahren. Ein auf jährlichen Landsat-Zeitreihen basierender Ansatz wurde entwickelt, um den Zeitpunkt der Aufgabe und Rekultivierung von landwirtschaftlichen Flächen mit hoher räumlicher und zeitlicher Auflösung zu dokumentieren. Dieser Datensatz ermöglichte z.B. die Schätzung des Anteils organischer Kohlenstoffbindungen im Boden auf Basis der Nutzungsgeschichte der letzten Jahrzehnte. Eine Kartierung der Änderungen im Feuerregime zeigte eine siebenfache Zunahme an verbrannter Fläche und eine Verachtfachung von Bränden innerhalb des Untersuchungszeitraumes. Sowohl landwirtschaftliche Feuer als auch die Landaufgabe waren mit einem erhöhten Brandrisiko assoziiert. Darüber hinaus wurde mithilfe von Spektralindizes und einem Random Forest Modell quantifiziert, wie sich der Beweidungsdruck nach dem Zerfall der Sowjetunion verändert hat. Die Analyse ergab einen Rückgang des Beweidungsdrucks in der kasachischen Steppe nach 1992, meist in der Nähe von aufgegebenen Nutzviehhaltestationen. In dieser Dissertation konnte gezeigt werden, wie Landsat-Zeitreihen genutzt werden können, um den Einfluss von Landnutzungsänderungen auf die Ökologie von Steppen besser zu verstehen. Die entwickelten Datensätze ermöglichen es, die Prozesse, die zur Landaufgabe und den damit zusammenhängenden Auswirkungen auf die kasachische Steppe führten, zu entwirren und können zur Entscheidungsfindung in der Landnutzungs- und Naturschutzplanung verwendet werden. / The steppes of Kazakhstan are one of the world regions that experienced massive changes in land-use intensity and widespread land-use change after the breakdown of the Soviet Union. Cropping and grazing regime changes across the steppes of Kazakhstan are understudied, and related spatio-temporal changes, e.g. in fire regimes, are still poorly understood. The main research goal of this thesis was to develop a methodology to map related change at appropriate scales and to provide novel datasets to enhance our understanding of how the coupled human-environment in Northern Kazakhstan has changed since the 1980s. An approach was developed to identify the timing of post-Soviet cropland abandonment and recultivation in northern Kazakhstan. Knowing the timing of abandonment allowed for deeper insights into what drives these dynamics: for example, recultivation after 2007 happened mainly on land that had been abandoned latest. Knowing the timing of abandonment allowed for substantially more precise estimates of soil organic carbon sequestration. Mapping changes in fire regimes highlighted a sevenfold increase in burnt area and an eightfold increase in number of fires after the breakdown of the Soviet Union. Agricultural burning and abandonment were associated with increased fire risk. Grazing probabilities, derived from Landsat using a random forest, were found to provide the best metrics to capture grazing pressure. The analysis revealed a general decline in grazing pressure in the Kazakh steppe after 1992, especially near abandoned livestock stations. Collectively, the dissertation highlights how dense records of Landsat images can be utilized to better understand land use changes and the ecology of steppes across large areas. The datasets developed within this thesis allow to disentangle the processes leading to and the impacts of agricultural abandonment in the temperate Kazakh steppes, and may be used to support decision-making in land-use and conservation planning.

Malignant lymphomas are tumors arising by clonal proliferation of lymphocytes stopped at a specific stage of differentiation. All tumor cells arising from the original clone thus share the same characteristics and that can be used in their detection. Finding a suitable molecular marker of tumor cells is an essential step not only to disease diagnosis, but also for monitoring of minimal residual disease. Minimal residual disease is defined as the subclinical disease level, which malignant cells are not detectable for conventional cytological methods during the therapy. These residual cells can cause relapse. The main goals of the diploma thesis are a detection and analysis of immunoglobulin genes rearrangement and chromosomal translocation t(11; 14) in the MTC region, and a development and optimization of RQ-PCR system for detection of minimal residual disease. Quantification of clonal rearrangement or chromosomal translocation allows the detection of minimal residual disease level in patients with malignant lymphomas. Clonal immunoglobulin genes rearrangement or characteristic chromosomal translocation were analyzed in 19 patients with malignant lymphomas. There were analyzed individual gene segments, N-region and combination variability in immunoglobulin genes rearrangement. There was developed...

Die vorrangige Zielstellung dieser Dissertation war die Berechnung nicht erschlossener landwirtschaftlicher Potenziale des Europäischen Russlands. Wir haben ein räumliches Allokationsmodell entwickelt, dass die jährlichen Acker- und Ackerbrachflächen von 1991 bis 2009 kartiert. Diese Daten haben wir anschließend in ein dynamisches Vegetationsmodell integriert und damit berechnet, dass während der postsowjetischen Aufgabe von 31 Millionen Hektar Ackerland bis 2009 470 TgC in Boden und Vegetation gebunden wurden. Anschließend haben wir ein Pflanzenwachstumsmodell auf regionale Weizenerträge kalibriert und darauf basierend durchschnittliche Ertragslücken von 1.51-2.10 t ha−1 für natürliche (künstlich unbewässerte) und 3.14-3.30 t ha−1 für künstlich bewässerte Anbaubedingungen ermittelt. Die Karte der Ackerbrachflächen, räumlich-explizite Informationen über die Kohlenstoffspeicherung in Boden und Vegetation infolge der Ackerflächenaufgabe sowie unsere Ergebnisse der Ertragslückenberechnung haben wir zur Berechnung von Weizenproduktionspotenzialen verwendet. Unsere Ergebnisse zeigen, dass das Europäische Russland erhebliche Potenziale mobilisieren kann – bis zu 32 Millionen Tonnen für künstlich unbewässerte Bedingungen – obwohl ausschließlich jüngere Ackerbrachen zur Rekultivierung in unserem Modell berücksichtigt wurden. Ältere Brachflächen haben häufig große Mengen Kohlenstoff in Boden und Vegetation gespeichert; die Rekultivierung ältere Brachflächen würde zu hohen Emissionen führen. Eine wesentliche Schlussfolgerung dieser Dissertation ist daher, dass Produktionssteigerungen vorrangig durch Flächenintensivierung der bestehenden Ackerflächen erzielt werden sollten. Allerdings können die Ergebnisse dieser Arbeit helfen, Brachen für die Rekultivierung zu bestimmen, deren Rekultivierung relativ geringe Kohlenstoffemissionen nach sich ziehten. Zudem können die Ergebnisse dieser Arbeit nützlich sein, landwirtschaftliche Produktionsmittel effizienter einzusetzen. / This dissertation addresses the primary objective to systematically quantify untapped agricultural potentials in European Russia, where widespread abandoned agricultural lands and large yield gaps co-exist. We developed a spatial allocation model to produce annual cropland and cropland abandonment maps. Feeding the new maps into a dynamic vegetation model revealed that 470 Tg of carbon was sequestered in soil and vegetation due to the abandonment of 31 million hectares of cropland. Thus, the environmental consequences limit the potential for cropland expansion to abandoned cropland. We then calibrated a crop growth model for provincial wheat yields in European Russia and found average yield gaps of 1.51–2.10 t ha−1 under rainfed conditions and 3.14–3.30 t ha−1 under irrigated conditions. The cropland abandonment maps, spatial information on carbon sequestration due to cropland abandonment, and the estimates of yield gaps allowed us to estimate the potential of European Russia to increase its wheat production and to account for the carbon tradeoffs of cropland expansion. We demonstrated that European Russia can substantially increase its wheat production (up to 32 Mt under rainfed conditions). This increase is despite a limited expansion of wheat cultivation to the recently abandoned cropland to reduce the trade-off from the high carbon emissions in re-cultivating older, abandoned cropland where most carbon is stored. Therefore, intensification of the existing croplands is recommended to be the major driver for future growth in agricultural production. This dissertation can help policy makers and agribusiness owners identify areas suitable for cropland expansion, better target agricultural inputs and infrastructures, as well as guide adaptation strategies to the volatile climate conditions. Moreover, this dissertation contributes to better identifying and balancing trade-offs between environmental impacts and increasing agricultural production in European Russia.

Following Toyota's dramatic rise to prominence within the automotive industry in the late 1980's, firms around the globe have widely sought to adopt Lean Six Sigma (LSS) as a means of reducing costs, improving quality, and gaining an overall competitive advantage. While the operational benefits of LSS are largely undisputed, there are criticisms of the movement with regards to its effect on firm innovation capability. Prior academic studies investigating the relationship between LSS and innovation are largely conceptual in nature, rely heavily on qualitative data, and display a high degree of variability in results. The objective of this work was to empirically confirm whether LSS adoption had a positive, negative, or neutral impact on firm innovation performance.Financial data was collected for 151 publicly traded firms over the period from 1985 to 2018. The year of company-wide adoption of LSS was identified for each sample firm. Firms were paired with industry rivals using Coarsened Exact Matching (CEM), and statistical regressions were performed to show correlations between LSS implementation (as measured by inventory turns) and innovation performance (as measured by Total Factor Productivity, Research Quotient, and Tobin's Quotient). Regression results indicated that LSS implementation had a positive correlation with firm process innovation performance and the overall market perception of firm innovation and value, and a negative-to-neutral correlation with firm product innovation performance. Additional regressions performed at the industry-sector level revealed that the LSS-innovation relationship varies greatly by industry environment and is subject to unique industry effects and management implementation decisions.

Permafrost ist ein Bestandteil der Kryosphäre der Erde, der für Ökosysteme und Infrastruktur in der Arktis von Bedeutung ist und auch eine Schlüsselrolle im globalen Kohlenstoffkreislauf einnimmt. Das Auftauen von Permafrost infolge einer Klimaerwärmung zu projizieren ist mit sehr großen Unsicherheiten behaftet, da großskalige Klimamodelle entscheidende Komplexitäten von Permafrostlandschaften nicht berücksichtigen. Insbesondere bleiben in diesen Modellen Auftauprozesse in eisreichem Permafrost unberücksichtigt, welche weitreichende Landschaftsveränderungen – sogenannter Thermokarst – hervorrufen. Im Rahmen dieser Dissertation habe ich ein numerisches Modell entwickelt, um Auftauprozesse in eisreichen Permafrostlandschaften zu untersuchen, und habe es angewendet, um verbesserte Projektionen darüber zu erhalten, wie viel Permafrost infolge einer Klimaerwärmung auftauen würde. Der Schwerpunkt meiner Forschung lag auf besonders kalten, eis- und kohlenstoffreichen Permafrostablagerungen in der nordostsibirischen Arktis. In drei Forschungsartikeln habe ich gezeigt, dass der neuartige Modellierungsansatz in From von lateral gekoppelten “Kacheln” verwendet werden kann, um die Entwicklung von eisreichen Permafrostlandschaften realistisch zu simulieren. Anhand numerischer Simulationen habe ich gezeigt, dass der kleinskalige laterale Transport von Wärme, Wasser, Schnee und Sediment die Dynamik von Permafrostlandschaften sowie die Menge des aufgetauten Permafrosts unter Klimaerwärmungsszenarien entscheidend beeinflusst. Weiterhin habe ich gezeigt, dass in Simulationen, die Thermokarstprozesse berücksichtigen, wesentlich mehr Kohlenstoff vom Auftauen des Permafrosts betroffen ist, als in solchen, in denen eisreiche Ablagerungen unberücksichtigt bleiben. Insgesamt stellt die in dieser Dissertation dargelegte Forschungsarbeit einen substantiellen Fortschritt bezüglich einer realistischeren Einschätzung der Dynamik eisreicher Permafrostlandschaften mittels numerischer Modelle dar. / Permafrost is a component of Earth's cryosphere which is of importance for ecosystems and infrastructure in the Arctic, and plays a key role in the global carbon cycle. Large-scale climate models reveal high uncertainties in projections of how much permafrost would thaw in response to climate warming scenarios, since they do not represent key complexities of permafrost environments. In particular, large-scale models do not take into account thaw processes in ice-rich permafrost which cause widespread landscape change referred to as thermokarst. For this thesis, I have developed a numerical model to investigate thaw processes in ice-rich permafrost landscapes, and I have used it to obtain improved projections of how much permafrost would thaw in response to climate warming. The focus of my research was on cold, ice- and carbon-rich permafrost deposits in the northeast Siberian Arctic, and on landscapes characterized by ice-wedge polygons. In three closely interrelated research articles, I have demonstrated that the novel modelling approach of laterally coupled ''tiles'' can be used to realistically simulate the evolution of ice-rich permafrost landscapes. The numerical simulations have revealed that small-scale lateral transport of heat, water, snow, and sediment crucially affect the dynamics of permafrost landscapes and how much permafrost would thaw under climate warming scenarios. My research revealed that substantially more permafrost carbon is affected by thaw in numerical simulations which take into account thermokarst processes, than in simulations which lack a representation of excess ice. These results suggest that conventional large-scale models used for future climate projections might considerably underestimate permafrost thaw and associated carbon-cycle feedbacks. Overall, the research presented in this thesis constitutes a major progress towards the realistic assessment of ice-rich permafrost landscape dynamics using numerical models.

Das Tianshan-Gebirge, als „Wasserturm“ Zentralasiens, hat entscheidenden Einfluss auf die Wasserressourcen der Region. Untersuchungen von 1950 bis 2016 zeigen, dass der Jahresniederschlag in den meisten Teilen des Gebirges zunahm, außer im westlichen Tianshan, wo er abnahm. Es gibt hoch- und niedrigfrequente Schwankungen im Niederschlag mit 3-, 6-, 12- und 27-jährigen Quasiperioden. Auf Dekadenskala gab es zwei Trockenperioden (1950–1962, 1973–1984) und zwei Feuchtperioden (1962–1972, 1985–2016). Seit 2004 ist eine kontinuierliche Feuchtezunahme zu verzeichnen. Zusammenhänge wurden zwischen Zirkulationsmustern und dem Niederschlag identifiziert. Das East Atlantic-West Russia (EATL/WRUS)-Muster korreliert positiv mit dem Winter-Niederschlag. Das Scandinavia (SCAND)-Muster beeinflusst den Sommerniederschlag. Das Silk Road-Muster (SRP) war im Zeitraum 1964-1984 relevant. Die Feuchtigkeitsquellen für den Tianshan-Niederschlag stammen zu 93,2% von kontinentalen Quellen und nur begrenzt aus dem Ozean. Zentralasien ist die Hauptfeuchtequelle für das Gebirge. Im westlichen Tianshan kommt die Feuchtigkeit hauptsächlich von Zentralasien von April bis Oktober und von Westasien von November bis März. Im östlichen Tianshan tragen Ost- und Südasien sowie Sibirien konstant zur Feuchtigkeit im Sommer bei. Der Beitrag der Feuchtigkeit aus dem Nordatlantik zum Sommerniederschlag im nördlichen, zentralen und östlichen Tianshan zeigt einen abnehmenden Trend, obwohl dieser Beitrag ohnehin begrenzt ist. In Monaten mit extremem Winterniederschlag stammt die größte Zunahme der Feuchtigkeit im westlichen Tianshan aus Westasien, während Europa einen wichtigen Beitrag zu den extremen Winterniederschlägen im nördlichen Tianshan leistet. Im östlichen Tianshan ist die Feuchtigkeitszufuhr aus Ost- und Südasien sowie aus Sibirien während der extremen Niederschlagsmonate sowohl im Winter als auch im Sommer erhöht. / The Tianshan Mountains, the "water tower" of Central Asia, are crucial water sources. Precipitation variability and water vapor transport impact water distribution. The study assessed 1950-2016 precipitation using Mann-Kendall tests and EEMD on GPCC data. Multi-timescale precipitation variations were analyzed with NCEP/NCAR reanalysis, and moisture sources during 1979–2017 with ERA–Interim data. Most of Tianshan had increasing annual precipitation, except Western Tianshan, which experienced a downtrend. Precipitation exhibited 3- and 6-year cycles and 12- and 27-year cycles. On the decadal scale, two dry and two wet periods occurred, with continuous humidification since 2004. A significant positive correlation was found between East Atlantic-West Russia EATL/WRUS circulation pattern and winter precipitation. SCAND influenced Tianshan's summer precipitation, with a wet period after 1988 due to enhanced water vapor flux. SCAND and EAP strengthened water vapor fluxes to Tianshan. SRP impacted Tianshan's summer precipitation during 1964–1984. About 93.2% of Tianshan's moisture comes from continental sources. Central Asia dominates moisture supply. Western Tianshan receives moisture mainly from Central Asia (April to October) and Western Asia (November to March). Almost 13.0% of Eastern Tianshan's summer moisture originates from East and South Asia and Siberia, with steady contributions. Moisture from the North Atlantic Ocean to summer precipitation in Northern, Central, and Eastern Tianshan shows a decreasing trend, but limited overall contribution. Extreme winter precipitation in Western Tianshan is linked to moisture from West Asia. Europe significantly contributes to extreme winter precipitation in Northern Tianshan. Eastern Tianshan sees enhanced moisture from East and South Asia and Siberia during extreme precipitation months in winter and summer.

The diploma thesis deals with problems of depression in older people. Mainly the work is focused on identifying and analyzing the role of nurses in screening for depression in older people in primary care, acute care, long-term care and home care. This thesis was focused on theoretical direction and was used the method of design and demonstration. In this thesis was set one main goals with five research questions. The main goal was to identify and analyze the role of nurses in screening for depression in the elderly. RQ 1: What is the role of the nurse in screening for depression in the elderly? RQ 2: What is the role of the nurse in the primary care in screening for depression in the elderly? RQ 3: What is the role of the nurse in screening for depression in hospitalized patients in acute care? RQ 4: What is the role of the nurse in screening for depression in seniors in long-term and home care? RQ 5: What rating scales and methods are used in screening for depression in the elderly? The thesis introduce the concept of depression. The following are specified the causes of and the important factors that affect depression in the elderly. It also deals the differences in the clinical symptomatology of depression in old age. It explains possibilities and various barriers in the diagnosis of depression. Another chapter introduces complete geriatric examination, diagnostic classification systems, possible screening methods and scales for detection of depression in the elderly population. It also deals methods of pharmacological and non-pharmacological treatment and its possible complications associated with older age. By reason of increased suicide rate caused by depressive disorder the issue of suicidal behavior in the elderly is introduced. The next chapter deals with the nursing process, which is used by nurses in practice. It consists of the evaluation of the patient's health condition, making nursing diagnosis, creating nursing plan and subsequent implementation and evaluation. The nursing process is also needy for providing quality care. The nursing process in the stage of nursing diagnosis, introduces possible nursing diagnosis for a patient suffering from depression, which are based on the latest classification. Finally is described the role of nurses in screening for depression in the elderly in different health facilities and their contribution to the timely evaluation of depression in the elderly. This chapter introduces the role of nurses, nursing screening and collaboration with a physician. The role of nurses in screening for depression in different medical facilities is based on the first phase of the nursing process of assessment. On the basis of objective and subjective information, the nurse will assess the overall health and mental condition of the patient. Primarily, it was investigated what is the role of the nurse in screening for depression. On the basis of content analysis and synthesis it was necessary to used and processed domestic and foreign literature. A number of relevant sources are the results of various studies and Meta-analyzes, mostly from abroad, but also from the Czech Republic. The thesis can serve as a basis for nurses. The result of this thesis is to create e-learning material available for students in the Faculty of Health and Social Sciences of South Bohemia in Ceske Budejovice in the tutorial called Moodle.