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This thesis primarily covers a systematic assessment of quantum chemical methods to predict accurate 19F NMR shifts for fluoroarenes and magnetic exchange coupling constant (J) in organic spin dimers which are basic building blocks for rational designing of organic magnetic materials.
One of the most important goals in chemistry is to design and synthesize molecules with optimum properties. This thesis is divided into two parts: the first part comprises of a systematic effort to find an inexpensive quantum chemical method to predict accurate 19F NMR chemical shifts (within an accuracy of 2 ppm) for perfluoraromatics. Essentially, these strenuous efforts have been devoted to find best DFT functional and basis set combination to predict accurate 19F shifts. In addition,the influence of geometrical parameters, solvents, chemical environment was also analyzed. Various correction approaches were tested to correct the calculated shifts. The influence of various functionals and basis sets was also analyzed on the correction efficiency of an individual scheme. All the NMR calculation methods already being used and correction approaches were verified to predict shifts of three different fluorine-substituted molecular sets. These structure sets include fluorobenzenes, substituted benzenes and fluorine substituted aromatic fused rings (e.g. fluorine substituted anthracene).
In the second part of this thesis, we investigated the accurate prediction of magnetic exchange couplings (J) for organic spin dimers using quantum chemical methods. We analyzed the performance of various DFT methods and various post-HF methods, such as the CASSCF, CASPT2, MSTDISD, DDCI1, DDCI2, DDCI3, and FCI to predict magnetic exchange couplings (J).
Overview of the Chapters:
Chapter 1, presents a brief theoretical introduction to the Schrödinger equation and its application in quantum mechanical calculations, the Hartree-Fock approximation, basis sets, electron correlation energy, and density functional theory (using pure and hybrid functionals).
In chapters 2 and 3, an introduction is given for quantum chemical approaches used to calculate NMR parameters and magnetic exchange coupling constants. We discuss an effective spin Hamiltonian, the Breit-Pauli Hamiltonian (BPH), chemical shielding tensor and total energy relationship, measuring of the NMR spectra, and different techniques to deal with gauge origin problem. In addition, the theoretical background of magnetic exchange coupling constant calculation for spin dimers, the Heisenberg-Dirac-van-Vleck Hamiltonian (HDVV) and the Noodelman's broken-symmetry approach for calculating J values are briefly discussed.
Chapter 4, presents a benchmark study of various DFT functionals and basis sets to calculate accurate C-F bond lengths and 19F chemical shifts. High-resolution NMR spectral data of complex molecules are often difficult to interpret. Great scientific efforts have been devoted to search for a computational approach to interpret experimental NMR data. Quantum chemical methods such as the CCSD(T) method offer high accuracy in calculation of NMR parameters but being computationally too demanding they cannot be applied to large chemical systems. On the other hand, density functional theory (DFT) is achieving a steady progress among diversity of computational techniques. An accuracy within 2 ppm deviation from the experimental values in 19F chemical shifts can be achieved if the NMR calculation is performed using accurate equilibrium geometries, GIAO is used to tackle gauge origin problem and electron correlation is properly treated by employing a high level of theory (e.g. CCSD (T)/cc-pVQZ). We found that the calculation of 19F shielding tensors with the density-functional theory does not provide any noticeable improvement over the HF method. Post-HF theory demands too much computational resources that makes them impossible to use for large systems [35] .
We found that a quantitative prediction of NMR shifts can be made as the errors introduced by theoretical methods are cancelled out while calculating shifts. Various benchmark studies in this thesis show that 19F chemical shifts calculated for perfluoraromatics with the M06-L, BHandH, BHandHLYP in combination with the 6-311+G (2d,p) basis set are within 4 ppm deviation from the experiments. Furthermore, we noted that NMR calculations on accurate
C-F (e.g. PBE/6-311G (d, p)) bond lengths does not show any improvement if the NMR calculation and optimization are performed at the same level of theory. A significant improvement can be achieved on calculated 19F NMR shifts, if some correction schemes are used.
In chapter 4 we discuss various correction schemes applied to correct the calculated 19F chemical shifts. A multi-standard approach (MSTD) was used to minimize the error that may occur due to the difference in the nature of the reference compound and test molecules [122]. We propose another approach to correct shielding constants which is the reference corrected approach. This approach makes a correction similar to the MSTD. We also tested a Linear Regression Correction Approach and we noted that this is the best approach amongst all. This is found to be less dependent on the theoretical method. We use conformation averaging corrections to correct the calculated shifts[126].
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Infant acute leukemia still has a poor prognosis, and allogeneic hematopoietic stem cell transplantation is indicated in selected patients. Umbilical cord blood (UCB) is an attractive cell source for this population because of the low risk of chronic graft-versus-host disease (GVHD), the strong graft-versus-leukemia effect, and prompt donor availability. This retrospective, registry-based study reported UCB transplantation (UCBT) outcomes in 252 children with acute lymphoblastic leukemia (ALL; n = 157) or acute myelogenous leukemia (AML; n = 95) diagnosed before 1 year of age who received a single-unit UCBT after myeloablative conditioning between 1996 and 2012 in European Society for Blood and Marrow Transplantation centers. Median age at UCBT was 1.1 years, and median follow-up was 42 months. Most patients (57%) received a graft with 1 HLA disparity and were transplanted in first complete remission (CR; 55%). Cumulative incidence function (CIF) of day 100 acute GVHD (grades II to IV) was 40% ± 3% and of 4-year chronic GVHD was 13% ± 2%. CIF of 1-year transplant-related mortality was 23% ± 3% and of 4-year relapse was 27% ± 3%. Leukemia-free-survival (LFS) at 4 years was 50% ± 3%; it was 40% and 66% for those transplanted for ALL and AML, respectively (P = .001). LFS was better for patients transplanted in first CR, regardless of diagnosis. In multivariate model, diagnosis of ALL (P = .001), advanced disease status at UCBT (<.001), age at diagnosis younger than 3 months (P = .012), and date of transplant before 2004 were independently associated with worse LFS. UCBT is a suitable option for patients diagnosed with infant acute leukemia who achieve CR. In this cohort, patients with AML had better survival than those with ALL.
Natural Killer (NK) cells are active against Aspergillus fumigatus, which in turn is able to impair the host defense. Unfortunately, little is known on the mutual interaction of NK cells and A. fumigatus. We coincubated human NK cells with A. fumigatus hyphae and assessed the gene expression and protein concentration of selected molecules. We found that A. fumigatus up-regulates the gene expression of pro-inflammatory molecules in NK cells, but inhibited the release of these molecules resulting in intracellular accumulation and limited extracellular availability. A. fumigatus down-regulatedmRNA levels of perforin in NK cells, but increased its intra- and extracellular protein concentration. The gene expression of stress related molecules of A. fumigatus such as heat shock protein hsp90 was up-regulated by human NK cells. Our data characterize for the first time the immunosuppressive effect of A. fumigatus on NK cells and may help to develop new therapeutic antifungal strategies.
This paper presents three acceptability experiments investigating German verb-final clauses in order to explore possible sources of sentence complexity during human parsing. The point of departure was De Vries et al.'s (2011) generalization that sentences with three or more crossed or nested dependencies are too complex for being processed by the human parsing mechanism without difficulties. This generalization is partially based on findings from Bach et al. (1986) concerning the acceptability of complex verb clusters in German and Dutch. The first experiment tests this generalization by comparing two sentence types: (i) sentences with three nested dependencies within a single clause that contains three verbs in a complex verb cluster; (ii) sentences with four nested dependencies distributed across two embedded clauses, one center-embedded within the other, each containing a two-verb cluster. The results show that sentences with four nested dependencies are judged as acceptable as control sentences with only two nested dependencies, whereas sentences with three nested dependencies are judged as only marginally acceptable. This argues against De Vries et al.'s (2011) claim that the human parser can process no more than two nested dependencies. The results are used to refine the Verb-Cluster Complexity Hypothesis of Bader and Schmid (2009a). The second and the third experiment investigate sentences with four nested dependencies in more detail in order to explore alternative sources of sentence complexity: the number of predicted heads to be held in working memory (storage cost in terms of the Dependency Locality Theory [DLT], Gibson, 2000) and the length of the involved dependencies (integration cost in terms of the DLT). Experiment 2 investigates sentences for which storage cost and integration cost make conflicting predictions. The results show that storage cost outweighs integration cost. Experiment 3 shows that increasing integration cost in sentences with two degrees of center embedding leads to decreased acceptability. Taken together, the results argue in favor of a multifactorial account of the limitations on center embedding in natural languages.
The UDP-glucose ceramide glycosyltransferase (UGCG) is a key enzyme in the sphingolipid metabolism by generating glucosylceramide (GlcCer), the precursor for all glycosphingolipids (GSL), which are essential for proper cell function. Interestingly, the UGCG is also overexpressed in several cancer types and correlates with multidrug resistance protein 1 (MDR1) gene expression. This membrane protein is responsible for efflux of toxic substances and protects cancer cells from cell damage through chemotherapeutic agents. Studies showed a connection between UGCG and MDR1 overexpression and multidrug resistance development, but the precise underlying mechanisms are unknown. Here, we give an overview about the UGCG and its connection to MDR1 in multidrug resistant cells. Furthermore, we focus on UGCG transcriptional regulation, the impact of UGCG on cellular signaling pathways and the effect of UGCG and MDR1 on the lipid composition of membranes and how this could influence multidrug resistance development. To our knowledge, this is the first review presenting an overview about UGCG with focus on the relationship to MDR1 in the process of multidrug resistance development.
The 900th anniversary of the death of Emperor Henry IV (7 August 2006) occasioned several special colloquia (in Cologne, Speyer, Goslar) and publications in celebration of the so-called "Year of the Salians" . While several scholarly publications and exhibits also appeared with specific focus on Henry IV himself, the present volume contains the papers given at a colloquium held at the University of Cologne (26–30 September 2006), which accordingly focused on the Salian dynasty’s history in the lower Rhine region. Prof. Dr. Tilman Struve (emeritus professor at the University of Cologne), who has spent much of his career studying the Salian house during the Investiture Struggle, lends his considerable expertise to framing this collection of disparate essays. ...
Background: Worldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (Myodes glareolus) as reservoir hosts. Generally, infection outbreaks have been related to environmental conditions, particularly climatic conditions, food supply for the reservoir species and land use. However, although attempts have been made, the insufficient availability of environmental data is often hampering accurate temporal and spatially explicit models of human hantavirus infections.
Methods: In the present study, dynamics of human PUUV infections between 2001 and 2015 were explored using ArcGIS in order to identify spatio-temporal patterns.
Results: Percentage cover of forest area was identified as an important factor for the spatial pattern, whereas beech mast was found explaining temporal patterns of human PUUV infections in Germany. High numbers of infections were recorded in 2007, 2010 and 2012 and areas with highest records were located in Baden-Wuerttemberg (southwest Germany) and North Rhine-Westphalia (western Germany).
Conclusion: More reliable data on reservoir host distribution, pathogen verification as well as an increased awareness of physicians are some of the factors that should improve future human infection risk assessments in Germany.
Background: As ectothermic animals, temperature influences insects in almost every aspect. The potential disease spreading Asian bush mosquito (Aedes japonicus japonicus) is native to temperate East Asia but invasive in several parts of the world. We report on the previously poorly understood temperature-dependence of its life history under laboratory conditions to understand invasion processes and to model temperature niches.
Results: To evaluate winter survival, eggs were exposed between 1 day and 14 days to low temperatures (5 °C, 0 °C, -5 °C and -9 °C). Hatching success was drastically decreased after exposure to 0 °C and -5 °C, and the minimal hatching success of 0% was reached at -9 °C after two days. We then exposed larvae to 14 temperatures and assessed their life trait parameters. Larval survival to adulthood was only possible between 10 °C and 31 °C. Based on this, we modelled the optimal (25 °C), minimal (7 °C) and maximal (31 °C) temperature for cumulative female survival. The time to adult emergence ranges from 12 days to 58 days depending on temperature. We used an age-at-emergence-temperature model to calculate the number of potential generations per year for the Asian bush mosquito in Germany with an average of 4.72 potential generations. At lower temperatures, individuals grew larger than at higher temperatures with female R1 length ranging from 3.04 ± 0.1 mm at 31 °C to 4.26 ± 0.2 mm at 15 °C.
Conclusions: Reduced egg hatch after exposure to sub-zero temperatures prohibits the establishment of the Asian bush mosquito in large parts of Germany. Larval overwintering is not possible at temperature ≤ 5 °C. The many potential generations displayed per year may contribute to the species’ invasion success. This study on the thermal ecology of the Asian bush mosquito adds to our knowledge on the temperature dependence of the species and data could be incorporated in epidemiological and population dynamic modelling.
Die Erfassung von subjektiven Theorien von bildungsfernen Personen gestaltet sich schwierig, wenn die Personen nicht in der Lage sind, ihre Theorien formal zu abstrahieren. In dieser Publikation wird ein Verfahren beschrieben, mit welchen Schritten dennoch subjektive Theorien zur aufgestellten Forschungsfrage extrahiert werden können. Das Verfahren basiert auf einer systematischen Auswertung von transkribierten Interviews.