This study examines what kinds of questions teachers and students ask during science lessons in three primary schools in Sweden. The study is based on the following questions: What kinds of questions do the teachers ask? How do the teachers describe the question asking behavior they use in the lessons? How do the teachers follow up students' answers? What kinds of questions do the students ask and how do teachers handle these inclass? This is a qualitative study based on interviews of four primary school teachers and observations of their Science lessons, covering topics as the solar system, electricity and the lives of the magpie and the squirrel. The theoretical frame of the study is social constructivism, which focuses on how knowledge is constructed in the social context of the classroom through language and other semiotic means. The questions asked by teachers and students are classified into two levels (high-order and low-order questions) based on Bloom's taxonomy. The results of the study shows that teachers mostly ask low-order questions during these lessons and that they ask three times as many questions as the students. In lessons where more “abstract” topics were discussed, such as the solar system, the low-order questions were more frequently asked by the teachers. The students asked questions when they were “invited” to do so and they asked more high-order questions during lessons where “abstract” topics were discussed.

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The aim of this diploma thesis was to detect (anti-)progestagenic activity in wastewater samples from the influent and effluent of six wastewater treatment plants (WWTPs) located in South Bohemia. Subsequently, the efficiency of the treatment process of this WWTPs was assessed from this point of view. The wastewater from WWTPs was transported to the laboratory and extracted oby solid phase extraction. The eluates were washed, evaporated and dissolved in DMSO. Detection of (anti-)progestagenic activity was performed by using the PR-CALUX in vitro bioassay. Transgenic cells were seeded on well plates and were exposed to ORG2058, reference substance for progestagenic activity, or RU-486, reference substance for antiprogestagenic activity, as well as a number of diluted wastewater extracts. After that, luminiscence of the cells was measured and it was was expressed in relative light units which were a measure of (anti-)progestagenic activity.(Anti-)progestagenic activity was reported in equivalent concentrations of the reference substance. Progestagenic activity in WWTPs influent ranged from below LOQ up to 1.8 ng/l ORG2058 eq. In effluent this activity ranged from below LOQ up to 0.5 ng/l ORG2058 eq. The elimination rate of progestagenic activity ranged from -25% to 100%. Antiprogestagenic activity in WWTPs inffluent was below the LOQ up to 1 ng/l RU-486 eq. In effluent this activity was below LOQ up to 9.7 ng/l RU-486 eq. The elimination rate of antiprogestagenic activity ranged from -50% to 100%.(Anti-)progestagenic activity in waste water has been demonstrated by using the PR-CALUX in vitro bioassay. Negative removal efficiency of some WWTPs was also documented. This is probably caused by biotransformation of some substances which don´t have (anti-)progestagenic activity to substances which have this activity or it is caused by deconjugation of metabolits of compounds with (anti-)progestagenic activity. Antiprogestagenic activity may be more hazardous for organisms living in the aquatic environment than progestagenic activity because of concentrations in WWTPs effluent. However this activity should not be underestimated.

Since the introduction of programmable Graphics Processing Units (GPUs) and procedural shaders, hardware vendors have each developed their own individual real-time shading language standard. None of these shading languages is fully platform independent. Although this real-time programmable shader technology could be developed into 3D application on a single system, this platform dependent limitation keeps the shader technology away from 3D Internet applications. The primary purpose of this dissertation is to design a framework for translating different shader formats to platform independent shaders and embed them into the eXtensible 3D (X3D) scene for 3D web applications. This framework includes a back-end core shader converter, which translates shaders among different shading languages with a middle XML layer. Also included is a shader library containing a basic set of shaders that developers can load and add shaders to. This framework will then be applied to some applications in Biomolecular Visualization.

>Magister Scientiae - MSc / infarction (MI) affects many parts of the western world and in South Africa alone it is estimated that MI is responsible for 1 in 6 deaths (17.3%). Traditional diagnostic methods for MI include an electrocardiograms and blood tests. The problem with these diagnostic methods are that they are time consuming, require large sample volumes, expensive equipment and complicated machinery. To achieve early detection of MI the discovery of specific, sensitive and reliable biomarkers are required. Brain natriuretic peptide (BNP) has been identified as a reliable biomarker for MI due to the fact that it has a defined cutoff of 100 pg/ml and it is not susceptible to patient‘s age which could make early detection of BNP complicated. Early detection methods for BNP has been based on immunoradiometric assays but problems associated with immunoradiometric assays are that there is a restricted availability of antigens and incubation of the labeled antibody could take up to two weeks which affects the patients waiting time on results. Electrochemical biosensors are emerging as early detection method for MI because they can be designed to be sensitive, specific to BNP at a low cost. This research study reported for the first the successful fabrication and implementation of highly sensitive mercaptosuccinic acid capped nickel selenide quantum dots (MSA-NiSe2 QDs) aptasensor for the detection of BNP. The poly-dispersed MSA-NiSe2 QDs were synthesized via an inexpensive, simple and reproducible aqueous microwave assisted irradiation method. The prepared MSA-NiSe2 QDs were characterized by Ultraviolet spectroscopy (UV-Vis), X-ray Diffraction (XRD), Fourier Transform Infrared spectroscopy (FTIR), High Resolution Transmission/Scanning Electron Microscopy (HR TEM/SEM) and Small Angle X-ray Scattering (SAXSpace). The electrochemical properties of the MSA-NiSe2 QDs were investigated by Cylic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS). HR-TEM revealed the formation of small sized MSA-NiSe2 QDs about 4 nm in diameter which was complemented by SAXSpace. UV-Vis studies showed absorption peaks in the ultraviolet region (100-400 nm) confirming the small size of these QDs as well confirming the direct and indirect bandgap of the QDs. XRD confirmed that the QDs are crystalline and belong to the bulk cubic MSA-NiSe2 QDs phase. FTIR studies confirmed the successful capping of MSA on the QDs due to the disappearance of the thiol peak at 2652 cm-1. Electrochemical studies revealed that the MSA-NiSe2 QDs showed good electrochemical properties on screen printed carbon electrodes (SPCE) which allowed them to be used as a mediating platform between the aptamer and SPCE. The successful detection of BNP was achieved by an incubation process between the aptamer drop coated on the MSA-NiSe2 QDs/SPCE surface overnight. The response of the MSA-NiSe2 QDs based aptasensor towards different concentrations of BNP was studied by differential pulse voltammetry (DPV). DPV showed a good linearly with correlation coefficient of R2 = 0.98. DPV also showed a high sensitivity (0.4513 μA/ pg/mL) towards detecting BNP with a detection limit of 11.93 pg/ml. The value of 11.93 pg/ml falls within the negative predictive value range of 10-100 pg/ml for early-stage diagnosis of BNP.

General attrition rates in drug development pipeline have been recognized as a necessity to shift gears towards new methodologies that allow earlier and correct decisions, and the optimal use of all information accrued throughout the process. The quantitative science of pharmacometrics using pharmacokinetic-pharmacodynamic models was identified as one of the strategies core to this renaissance. Coupled with Optimal Design (OD), they constitute together an attractive toolkit to usher more rapidly and successfully new agents to marketing approval. The general aim of this thesis was to investigate how the use of novel pharmacometric methodologies can improve the design and analysis of clinical trials within drug development. The implementation of a Monte-Carlo Mapped power method permitted to rapidly generate multiple hypotheses and to adequately compute the corresponding sample size within 1% of the time usually necessary in more traditional model-based power assessment. Allowing statistical inference across all data available and the integration of mechanistic interpretation of the models, the performance of this new methodology in proof-of-concept and dose-finding trials highlighted the possibility to reduce drastically the number of healthy volunteers and patients exposed to experimental drugs. This thesis furthermore addressed the benefits of OD in planning trials with bio analytical limits and toxicity constraints, through the development of novel optimality criteria that foremost pinpoint information and safety aspects. The use of these methodologies showed better estimation properties and robustness for the ensuing data analysis and reduced the number of patients exposed to severe toxicity by 7-fold.  Finally, predictive tools for maximum tolerated dose selection in Phase I oncology trials were explored for a combination therapy characterized by main dose-limiting hematological toxicity. In this example, Bayesian and model-based approaches provided the incentive to a paradigm change away from the traditional rule-based “3+3” design algorithm. Throughout this thesis several examples have shown the possibility of streamlining clinical trials with more model-based design and analysis supports. Ultimately, efficient use of the data can elevate the probability of a successful trial and increase paramount ethical conduct.

Magister Scientiae - MSc (Chemistry) / Pollutants such as polycyclic aromatic hydrocarbons (PAHs) are known for their toxic effects which may lead to the cause of degenerative diseases in both humans and animals. PAHs are widespread in the environment, and may be found in water, food, automotive industry and petrochemical industries to name but a few sources. Literature reports have highlighted industrial workplace exposure to PAHs as a leading cause for development of cancer in workers. Particularly, workers in the petrochemical industry are adversely affected and the incidence of skin and lung cancer in this population group is high. The United States of America in its guidelines developed by environmental protection agency (EPA) has identified 18 PAHs as priority pollutants. Among these are anthracene, benzo[a]pyrene and pyrene which have been selected as the focal point of this study due to their significance in the petrochemical industry. Due to the carcinogenic and mutagenic properties reported in literature for certain PAHs, there have been monitoring procedures taken in most countries around the world. The commonly used analytical methods for the detection of PAHs from industrial samples are high performance liquid chromatography (HPLC) coupled to fluorescence detection, membrane filtration, ozonation and reverse osmosis. Analysis of PAHs from the petrochemical industry is typically performed by HPLC method as well as sono-degredation in the presence of oxygen and hydrogen peroxide.