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Background: It has been demonstrated that cognitive behavioural therapy (CBT) has a moderate effect on symptom reduction and on general well being of patients suffering from psychosis. However, questions regarding the specific efficacy of CBT, the treatment safety, the cost-effectiveness, and the moderators and mediators of treatment effects are still a major issue. The major objective of this trial is to investigate whether CBT is specifically efficacious in reducing positive symptoms when compared with non-specific supportive therapy (ST) which does not implement CBT-techniques but provides comparable therapeutic attention. Methods: The POSITIVE study is a multicenter, prospective, single-blind, parallel group, randomised clinical trial, comparing CBT and ST with respect to the efficacy in reducing positive symptoms in psychotic disorders. CBT as well as ST consist of 20 sessions altogether, 165 participants receiving CBT and 165 participants receiving ST. Major methodological aspects of the study are systematic recruitment, explicit inclusion criteria, reliability checks of assessments with control for rater shift, analysis by intention to treat, data management using remote data entry, measures of quality assurance (e.g. on-site monitoring with source data verification, regular query process), advanced statistical analysis, manualized treatment, checks of adherence and competence of therapists. Research relating the psychotherapy process with outcome, neurobiological research addressing basic questions of delusion formation using fMRI and neuropsychological assessment and treatment research investigating adaptations of CBT for adolescents is combined in this network. Problems of transfer into routine clinical care will be identified and addressed by a project focusing on cost efficiency. Discussion: This clinical trial is part of efforts to intensify psychotherapy research in the field of psychosis in Germany, to contribute to the international discussion on psychotherapy in psychotic disorders, and to help implement psychotherapy in routine care. Furthermore, the study will allow drawing conclusions about the mediators of treatment effects of CBT of psychotic disorders. Trial Registration Current Controlled Trials ISRCTN29242879
On tradition
(1992)
Hepatitis C virus (HCV) naturally infects only humans and chimpanzees. The determinants responsible for this narrow species tropism are not well defined. Virus cell entry involves human scavenger receptor class B type I (SR-BI), CD81, claudin-1 and occludin. Among these, at least CD81 and occludin are utilized in a highly species-specific fashion, thus contributing to the narrow host range of HCV. We adapted HCV to mouse CD81 and identified three envelope glycoprotein mutations which together enhance infection of cells with mouse or other rodent receptors approximately 100-fold. These mutations enhanced interaction with human CD81 and increased exposure of the binding site for CD81 on the surface of virus particles. These changes were accompanied by augmented susceptibility of adapted HCV to neutralization by E2-specific antibodies indicative of major conformational changes of virus-resident E1/E2-complexes. Neutralization with CD81, SR-BI- and claudin-1-specific antibodies and knock down of occludin expression by siRNAs indicate that the adapted virus remains dependent on these host factors but apparently utilizes CD81, SR-BI and occludin with increased efficiency. Importantly, adapted E1/E2 complexes mediate HCV cell entry into mouse cells in the absence of human entry factors. These results further our knowledge of HCV receptor interactions and indicate that three glycoprotein mutations are sufficient to overcome the species-specific restriction of HCV cell entry into mouse cells. Moreover, these findings should contribute to the development of an immunocompetent small animal model fully permissive to HCV.
HDL, through sphingosine-1-phosphate (S1P), exerts direct cardioprotective effects on ischemic myocardium. It remains unclear whether other HDL-associated sphingophospholipids have similar effects. We therefore examined if HDL-associated sphingosylphosphorylcholine (SPC) reduces infarct size in a mouse model of transient myocardial ischemia/reperfusion. Intravenously administered SPC dose-dependently reduced infarct size after 30 minutes of myocardial ischemia and 24 hours reperfusion compared to controls. Infarct size was also reduced by postischemic, therapeutical administration of SPC. Immunohistochemistry revealed reduced polymorphonuclear neutrophil recruitment to the infarcted area after SPC treatment, and apoptosis was attenuated as measured by TUNEL. In vitro, SPC inhibited leukocyte adhesion to TNFα-activated endothelial cells and protected rat neonatal cardiomyocytes from apoptosis. S1P3 was identified as the lysophospholipid receptor mediating the cardioprotection by SPC, since its effect was completely absent in S1P3-deficient mice. We conclude that HDL-associated SPC directly protects against myocardial reperfusion injury in vivo via the S1P3 receptor.
Snake bite is one of the most neglected public health issues in poor rural communities living in the tropics. Because of serious misreporting, the true worldwide burden of snake bite is not known. South Asia is the world's most heavily affected region, due to its high population density, widespread agricultural activities, numerous venomous snake species and lack of functional snake bite control programs. Despite increasing knowledge of snake venoms' composition and mode of action, good understanding of clinical features of envenoming and sufficient production of antivenom by Indian manufacturers, snake bite management remains unsatisfactory in this region. Field diagnostic tests for snake species identification do not exist and treatment mainly relies on the administration of antivenoms that do not cover all of the important venomous snakes of the region. Care-givers need better training and supervision, and national guidelines should be fed by evidence-based data generated by well-designed research studies. Poorly informed rural populations often apply inappropriate first-aid measures and vital time is lost before the victim is transported to a treatment centre, where cost of treatment can constitute an additional hurdle. The deficiency of snake bite management in South Asia is multi-causal and requires joint collaborative efforts from researchers, antivenom manufacturers, policy makers, public health authorities and international funders.
Piracetam, the prototype of the so-called nootropic drugs’ is used since many years in different countries to treat cognitive impairment in aging and dementia. Findings that piracetam enhances fluidity of brain mitochondrial membranes led to the hypothesis that piracetam might improve mitochondrial function, e.g., might enhance ATP synthesis. This assumption has recently been supported by a number of observations showing enhanced mitochondrial membrane potential, enhanced ATP production, and reduced sensitivity for apoptosis in a variety of cell and animal models for aging and Alzheimer disease. As a specific consequence, substantial evidence for elevated neuronal plasticity as a specific effect of piracetam has emerged. Taken together, this new findings can explain many of the therapeutic effects of piracetam on cognition in aging and dementia as well as different situations of brain dysfunctions. Keywords: mitochondrial dysfunction, alzheimer’s disease, aging, oxidative stress, piracetam
Leukotrienes constitute a group of bioactive lipids generated by the 5-lipoxygenase (5-LO) pathway. An increasing body of evidence supports an acute role for 5-LO products already during the earliest stages of pancreatic, prostate, and colorectal carcinogenesis. Several pieces of experimental data form the basis for this hypothesis and suggest a correlation between 5-LO expression and tumor cell viability. First, several independent studies documented an overexpression of 5-LO in primary tumor cells as well as in established cancer cell lines. Second, addition of 5-LO products to cultured tumor cells also led to increased cell proliferation and activation of anti-apoptotic signaling pathways. 5-LO antisense technology approaches demonstrated impaired tumor cell growth due to reduction of 5-LO expression. Lastly, pharmacological inhibition of 5-LO potently suppressed tumor cell growth by inducing cell cycle arrest and triggering cell death via the intrinsic apoptotic pathway. However, the documented strong cytotoxic off-target effects of 5-LO inhibitors, in combination with the relatively high concentrations of 5-LO products needed to achieve mitogenic effects in cell culture assays, raise concern over the assignment of the cause, and question the relationship between 5-LO products and tumorigenesis. Keywords: leukotriene, apoptosis, cell proliferation, mitogenic effects, cytotoxicity
Introduction: The Vbeta12-transgenic mouse was previously generated to investigate the role of antigen-specific T cells in collagen-induced arthritis (CIA), an animal model for rheumatoid arthritis. This mouse expresses a transgenic collagen type II (CII)-specific T-cell receptor (TCR) beta-chain and consequently displays an increased immunity to CII and increased susceptibility to CIA. However, while the transgenic Vbeta12 chain recombines with endogenous alpha-chains, the frequency and distribution of CII-specific T cells in the Vbeta12-transgenic mouse has not been determined. The aim of the present report was to establish a system enabling identification of CII-specific T cells in the Vbeta12-transgenic mouse in order to determine to what extent the transgenic expression of the CII-specific beta-chain would skew the response towards the immunodominant galactosylated T-cell epitope and to use this system to monitor these cells throughout development of CIA. Methods: We have generated and thoroughly characterized a clonotypic antibody, which recognizes a TCR specific for the galactosylated CII(260-270) peptide in the Vbeta12-transgenic mouse. Hereby, CII-specific T cells could be quantified and followed throughout development of CIA, and their phenotype was determined by combinatorial analysis with the early activation marker CD154 (CD40L) and production of cytokines. Results: The Vbeta12-transgenic mouse expresses several related but distinct T-cell clones specific for the galactosylated CII peptide. The clonotypic antibody could specifically recognize the majority (80%) of these. Clonotypic T cells occurred at low levels in the naïve mouse, but rapidly expanded to around 4% of the CD4+ T cells, whereupon the frequency declined with developing disease. Analysis of the cytokine profile revealed an early Th1-biased response in the draining lymph nodes that would shift to also include Th17 around the onset of arthritis. Data showed that Th1 and Th17 constitute a minority among the CII-specific population, however, indicating that additional subpopulations of antigen-specific T cells regulate the development of CIA. Conclusions: The established system enables the detection and detailed phenotyping of T cells specific for the galactosylated CII peptide and constitutes a powerful tool for analysis of the importance of these cells and their effector functions throughout the different phases of arthritis.
House of Finance
(2010)
Theses against occultism
(1974)
Background: The immune system is a complex adaptive system of cells and molecules that are interwoven in a highly organized communication network. Primary immune deficiencies are disorders in which essential parts of the immune system are absent or do not function according to plan. X-linked agammaglobulinemia is a B-lymphocyte maturation disorder in which the production of immunoglobulin is prohibited by a genetic defect. Patients have to be put on life-long immunoglobulin substitution therapy in order to prevent recurrent and persistent opportunistic infections. Methodology: We formulate an immune response model in terms of stochastic differential equations and perform a systematic analysis of empirical therapy protocols that differ in the treatment frequency. The model accounts for the immunoglobulin reduction by natural degradation and by antigenic consumption, as well as for the periodic immunoglobulin replenishment that gives rise to an inhomogeneous distribution of immunoglobulin specificities in the shape space. Results are obtained from computer simulations and from analytical calculations within the framework of the Fokker-Planck formalism, which enables us to derive closed expressions for undetermined model parameters such as the infection clearance rate. Conclusions: We find that the critical value of the clearance rate, below which a chronic infection develops, is strongly dependent on the strength of fluctuations in the administered immunoglobulin dose per treatment and is an increasing function of the treatment frequency. The comparative analysis of therapy protocols with regard to the treatment frequency yields quantitative predictions of therapeutic relevance, where the choice of the optimal treatment frequency reveals a conflict of competing interests: In order to diminish immunomodulatory effects and to make good economic sense, therapeutic immunoglobulin levels should be kept close to physiological levels, implying high treatment frequencies. However, clearing infections without additional medication is more reliably achieved by substitution therapies with low treatment frequencies. Our immune response model predicts that the compromise solution of immunoglobulin substitution therapy has a treatment frequency in the range from one infusion per week to one infusion per two weeks.
In total, this dissertation comprises three research papers. Objective of all of these papers are to detect mistakes of private investors when conducting mutual funds investments and to analyze the implications. Moreover, the question is addressed whether financial advisors help private investors to avoid these investment mistakes. All three research papers use the same data base which has been provided by a German online brokerage house. The detailed data set allows contributing to existing literature on mutual fund investments, smart decision making, household finance as well as financial advice on an investor- and transaction-specific level. The first paper addresses the question which particular decision criteria private investors use when purchasing mutual funds. It can be shown that funds volume is the dominating decision criterion, whereas historical performance is only of minor importance. As performance persistence exists in the underlying data set, it can be concluded that the majority of investors make investment mistakes. In the second paper it is shown that smart investors, i.e. investors who purchase mutual funds by chasing historical performance, are older, wealthier, more experienced and less likely to be overconfident. In addition, it can be verified that there exists a positive impact of the ability to select mutual funds by chasing historical performance on the overall investment success. Hence, the quality of mutual fund selection ability is an ex-ante measure for investment success. Finally, the third paper analyzes the influence of financial advice on mutual fund decision making of private investments. Evidence can be provided that financial advisors do not help their customers to purchase mutual funds by chasing historical performance. In fact, advisors recommend high-volume mutual funds from well-known fund families. Apparently, financial advisors are much more salesmen than real advisors. These results hold when controlling for potential endogeneity issues.
At present, there is a huge lag between the artificial and the biological information processing systems in terms of their capability to learn. This lag could be certainly reduced by gaining more insight into the higher functions of the brain like learning and memory. For instance, primate visual cortex is thought to provide the long-term memory for the visual objects acquired by experience. The visual cortex handles effortlessly arbitrary complex objects by decomposing them rapidly into constituent components of much lower complexity along hierarchically organized visual pathways. How this processing architecture self-organizes into a memory domain that employs such compositional object representation by learning from experience remains to a large extent a riddle. The study presented here approaches this question by proposing a functional model of a self-organizing hierarchical memory network. The model is based on hypothetical neuronal mechanisms involved in cortical processing and adaptation. The network architecture comprises two consecutive layers of distributed, recurrently interconnected modules. Each module is identified with a localized cortical cluster of fine-scale excitatory subnetworks. A single module performs competitive unsupervised learning on the incoming afferent signals to form a suitable representation of the locally accessible input space. The network employs an operating scheme where ongoing processing is made of discrete successive fragments termed decision cycles, presumably identifiable with the fast gamma rhythms observed in the cortex. The cycles are synchronized across the distributed modules that produce highly sparse activity within each cycle by instantiating a local winner-take-all-like operation. Equipped with adaptive mechanisms of bidirectional synaptic plasticity and homeostatic activity regulation, the network is exposed to natural face images of different persons. The images are presented incrementally one per cycle to the lower network layer as a set of Gabor filter responses extracted from local facial landmarks. The images are presented without any person identity labels. In the course of unsupervised learning, the network creates simultaneously vocabularies of reusable local face appearance elements, captures relations between the elements by linking associatively those parts that encode the same face identity, develops the higher-order identity symbols for the memorized compositions and projects this information back onto the vocabularies in generative manner. This learning corresponds to the simultaneous formation of bottom-up, lateral and top-down synaptic connectivity within and between the network layers. In the mature connectivity state, the network holds thus full compositional description of the experienced faces in form of sparse memory traces that reside in the feed-forward and recurrent connectivity. Due to the generative nature of the established representation, the network is able to recreate the full compositional description of a memorized face in terms of all its constituent parts given only its higher-order identity symbol or a subset of its parts. In the test phase, the network successfully proves its ability to recognize identity and gender of the persons from alternative face views not shown before. An intriguing feature of the emerging memory network is its ability to self-generate activity spontaneously in absence of the external stimuli. In this sleep-like off-line mode, the network shows a self-sustaining replay of the memory content formed during the previous learning. Remarkably, the recognition performance is tremendously boosted after this off-line memory reprocessing. The performance boost is articulated stronger on those face views that deviate more from the original view shown during the learning. This indicates that the off-line memory reprocessing during the sleep-like state specifically improves the generalization capability of the memory network. The positive effect turns out to be surprisingly independent of synapse-specific plasticity, relying completely on the synapse-unspecific, homeostatic activity regulation across the memory network. The developed network demonstrates thus functionality not shown by any previous neuronal modeling approach. It forms and maintains a memory domain for compositional, generative object representation in unsupervised manner through experience with natural visual images, using both on- ("wake") and off-line ("sleep") learning regimes. This functionality offers a promising departure point for further studies, aiming for deeper insight into the learning mechanisms employed by the brain and their consequent implementation in the artificial adaptive systems for solving complex tasks not tractable so far.
Direct photon emission from heavy-ion collisions has been calculated and compared to available experimental data. Three different models have been combined to extract direct photons from different environments in a heavy-ion collision: Thermal photons from partonic and hadronic matter have been extracted from relativistic, non-viscous 3+1-dimensional hydrodynamic calculations. Thermal and non-thermal photons from hadronic interactions have been calculated from relativistic transport theory. The impact of different physics assumptions about the thermalized matter has been studied. In pure transport calculations, a viscous hadron gas is present. This is juxtaposed with ideal gases of hadrons with vacuum properties, hadrons which undergo a chiral and deconfinement phase transition and with a system that has a strong first-order phase transition to a deconfined ideal gas of quarks and gluons in the hybrid model calculations with the various Equations of State. The models used for the determination of photons from both hydrodynamic and transport calculations have been elucidated and their numerical properties tested. The origin of direct photons, itemised by emission stage, emission time, channel and baryon number density, has been investigated for various systems, as have the transverse momentum spectra and elliptic flow patterns of direct photons. The differences of photon emission rates from a thermalized transport box and the hadronic photon emission rates that are used in hydrodynamic calculations are found to be very similar, as are the spectra from calculations of heavy-ion collisions with transport model and hybrid model with hadronic Equation of State. Taking into account the full (vacuum) spectral function of the rho-meson decreases the direct photon emission by approximately 10% at low photon transverse momentum. The numerical investigations show that the parameter with the largest impact on the direct photon spectra is the time at which the hydrodynamic description is started. Its variation shows deviations of one to two orders of magnitude. In the regime that can be considered physical, however, the variation is less than a factor of 3. Other parameters change the direct photon yield by up to approximately 20%. In all systems that have been considered -- heavy-ion collisions at E_lab = 35 AGeV and 158 AGeV, (s_NN)**1/2 = 62.4 GeV, 130 GeV and 200 GeV -- thermal emission from a system with partonic degrees of freedom is greatly enhanced over that from hadronic systems, while the difference between the direct photon yields from a viscous and a non-viscous hadronic system (transport vs. hydrodynamics) is found to be very small. Predictions for direct photon emission in central U+U-collisions at 35 AGeV have been made. Since non-soft photon sources are very much suppressed at this energy, experimental results should very easily be able to distinguish between a medium that is entirely hadronic and a system that undergoes a phase transition from partonic to hadronic matter. In the case of lead-lead collisions at 158 AGeV, the situation is not so clear. In central collisions, the complete direct photon spectra including prompt photons seem to favour hadronic emission sources, while the partonic calculations only slightly overpredict the data. In peripheral collisions at the same energy, the hadronic contribution is more than one order of magnitude smaller than the prompt photon contribution, which fits the available experimental data. A similar picture presents itself at higher energies. At RHIC energies, however, the difference between transport calculations and hadronic hybrid model calculations is largest. Hybrid model calculations with partonic degrees of freedom can describe the experimental results in gold-gold collisions at 200 GeV. The elliptic flow component of direct photon emission is found to be consistently positive at small transverse momenta. This means that the initial photon emission from a non-flowing medium does not completely overshine the emission patterns from later stages. High-pt photons dominantly come from the beginning of a heavy-ion collision and therefore do not carry the directed information of an evolving medium.
The role of gamma oscillatory activity in magnetoencephalogram for auditory memory processing
(2010)
Recent studies have suggested an important role of cortical gamma oscillatory activity (30-100 Hz) as a correlate of encoding, maintaining and retrieving auditory, visual or tactile information in and from memory. It was shown that these cortical stimulus representations were modulated by attention processes. Gamma-band activity (GBA) occurred as an induced response peaking at approximately 200-300 ms after stimulus presentation. Induced cortical responses appear as non-phase-locked activity and are assumed to reflect active cortical processing rather than passive perception. Induced GBA peaking 200-300 ms after stimulus presentation has been assumed to reflect differences between experimental conditions containing various stimuli. By contrast, the relationship between specific oscillatory signals and the representation of individual stimuli has remained unclear. The present study aimed at the identification of such stimulus-specific gamma-band components. We used magnetoencephalography (MEG) to assess gamma activity during an auditory spatial delayed matching-to-sample task. 28 healthy adults were assigned to one of two groups R and L who were presented with only right- or left-lateralized sounds, respectively. Two sample stimuli S1 with lateralization angles of either 15° or 45° deviation from the midsagittal plane were used in each group. Participants had to memorize the lateralization angle of S1 and compare it to a second lateralized sound S2 presented after an 800-ms delay phase. S2 either had the same or a different lateralization angle as S1. After the presentation of S2, subjects had to indicate whether S1 and S2 matched or not. Statistical probability mapping was applied to the signals at sensor level to identify spectral amplitude differences between 15° and 45° stimuli. We found distinct gamma-band components reflecting each sample stimulus with center frequencies ranging between 59 and 72 Hz in different sensors over parieto-occipital cortex contralateral to the side of stimulation. These oscillations showed maximal spectral amplitudes during the middle 200-300 ms of the delay phase and decreased again towards its end. Additionally, we investigated correlations between the activation strength of the gamma-band components and memory task performance. The magnitude of differentiation between oscillatory components representing 'preferred' and 'nonpreferred' stimuli during the final 100 ms of the delay phase correlated positively with task performance. These findings suggest that the observed gamma-band components reflect the activity of neuronal networks tuned to specific auditory spatial stimulus features. The activation of these networks seems to contribute to the maintenance of task-relevant information in short-term memory.
Type 1 diabetes (T1D) is a chronic T cell-mediated autoimmune disorder that results in the destruction of insulin-producing pancreatic ß cells leading to life-long dependence on exogenous insulin. Attraction, activation and transmigration of inflammatory cells to the site of ß-cell injury depend on two major molecular interactions. First, interactions between chemokines and their receptors expressed on leukocytes result in the recruitment of circulating inflammatory cells to the site of injury. In this context, it has been demonstrated in various studies that the interaction of the chemokine CXCL10 with its receptor CXCR3 expressed on circulating cells plays a key role in the development of T1D. Second, once arrived at the site of inflammation adhesion molecules promote the extravasation of arrested cells through the endothelial cell layer to penetrate the site of injury. Here, the junctional adhesion molecule (JAM) JAM-C expressed on endothelial cells is involved in the process of leukocyte diabedesis. It was recently demonstrated that blocking of JAM-C efficiently attenuated cerulein-induced pancreatitis in mice. In my thesis I studied the influence of the CXCL10/CXCR3 interaction on the one hand, and of the adhesion molecule JAM-C on the other hand, on trafficking and transmigration of antigen-specific, autoaggressive T cells in the RIP-LCMV mouse model. RIP-LCMV mice express the glycoprotein (GP) or the nucleoprotein (NP) of the lymphocytic choriomeningitis virus (LCMV) as a target autoantigen specifically in the ß cells of the islets of Langerhans and turn diabetic after LCMV-infection. In my first project I found that pharmacologic blockade of CXCR3 during development of virus-induced T1D results in a significant delay but not in an abrogation of overt disease. However, neither the frequency nor the migratory properties of islet-specific T cells was significantly changed during CXCR3 blockade. In the second project I was able to demonstrate that JAM-C was upregulated around the islets in RIP-LCMV mice after LCMV infection and its expression correlated with islet infiltration and functional ß-cell impairment. Blockade with a neutralizing anti-JAM-C antibody slightly reduced T1D incidence, whereas overexpression of JAM-C on endothelial cells did not accelerate virus-induced diabetes. In summary, our data suggest that both CXCR3 as well as JAM-C are involved in trafficking and transmigration of antigen-specific autoaggressive T cells to the islets of Langerhans. However, the detection of only a moderate influence on the onset of clinical disease during CXCR3 or JAM-C blockade reflects the complex pathogenesis of T1D and indicates that several different inflammatory factors need to be neutralized in order to achieve a stable and persistent protection from disease.
In this retrospective study, case records of clinical forensic examinations and respective investigation records of the police and the public prosecutor’s (state attorney) office along with the resulting verdicts were examined in terms of type and site of injury found and extent of agreement or discrepancy between the story given by the accused party and the medical conclusions drawn from the injury pattern. Particular attention was focussed on the relevance of the expert opinion for the legal assessment through case-specific analysis of the respective verdicts. A total of 118 cases originating from the scope of the Institute of Forensic Medicine, Goethe-University Frankfurt/Main (2002 – 2005) were examined. These included bodily injury, child abuse, sexual compulsion, self-mutilation and injury patterns of individuals under suspicion of attempted or completed manslaughter/homicide. As compared to former studies, the results of this analysis were additionally correlated with the investigation records of the public prosecutor’s office (state attorney) to elucidate the importance of the forensic findings for police investigation and legal evaluation. The forensic examination involved 19 accused and 99 victims. As for the gender distribution of the victims, 51 females and 48 males were encountered. Slight female preponderance was seen in cases of sexual compulsion. The group of accused individuals consisted of 16 males and 3 females. Injuries due to blunt force impact, in particular hematomas involving skull and trunk, dominated as diagnostic findings in cases of bodily injury, sexual offenses and child abuse. In cases with suspected self-mutilation and in examinations of accused perpetrators of manslaughter/homicide scratches and lacerations prevailed. Correlating injury patterns and police inquiries, conclusions drawn from medical findings and results of police investigations were in good agreement in 46 % of the cases, but showed major discrepancies in another 25 %. In the remaining 29 % of the cases, the injury pattern did not allow for a definite expert opinion on the mode of infliction. Nevertheless, a detailed documentation of the medical findings proved to be of substantial value for police investigations. 39 % of the cases resulted in a final verdict, whilst in 59 % of the cases the charge was dismissed. Especially in the ladder forensic expert opinion was of considerable importance, since forensic assessment of injuries could either not be attributed to a certain perpetrator or contributed to the exoneration of the accused. In 2 % the judicial assessment was not available. In 82 % of the cases of child abuse the proceedings were stopped, e.g. since maltreatment could not be assigned to a particular perpetrator. In these cases, it became obvious, that forensic examination and assessment alone does not suffice, but has to be embedded in police investigations to achieve optimal results. Medical conclusions by forensic experts were – almost without any exception – considered in legal assessment and differentiatedly taken into account when weighing the sentence, thus reflecting the objectivity and neutrality of the medical assessment. In synopsis, albeit evidential value of forensic examination is assessed to be high optimal clarification of a case requires integration into the complete spectrum of investigations performed in a case.
A basic introduction to RFQs has been given in the first part of this thesis. The principle and the main ideas of the RFQ have been described and a small summary of different resonator concepts has been given. Two different strategies of designing RFQs have been introduced. The analytic description of the electric fields inside the quadrupole channel has been derived and the limitation of these approaches were shown. The main work of this thesis was the implementation and analysis of a Multigrid Poisson solver to describe the potential and electric field of RFQs which are needed to simulate the particle dynamics accurately. The main two ingredients of a Multigrid Poisson solver are the ability of a Gauß-Seidel iteration method to smooth the error of an approximation within a few iteration steps and the coarse grid principle. The smoothing corresponds to a damping of the high frequency components of the error. After the smoothing, the error term can well be approximated on a coarser grid in which the low frequency components of the error on the fine grid are converted to high frequency errors on the coarse grid which can be damped further with the same Gauß-Seidel method. After implementation, the multigrid Poisson solver was analyzed using two different type of test problems: with and without a charge density. After illustrating the results of the multigrid Poisson solver, a comparison to the field of the old multipole expansion method was made. The multipole expansion method is an accurate representation of the field within the minimum aperture, as limited by cylindrical symmetry. Within these limitations the multigrid Poisson solver and the multipole expansion method agree well. Beyond the limitation the two method give different fields. It was shown that particles leave the region in which the multipole expansion method gives correct fields and that the transmission is affected therefrom as well as the single particle dynamic. The multigridPoisson solver also gives a more realistic description of the field in the beginning of the RFQ, because it takes the tank wall into account, and this effect is shown as well. Closing the analysis of the external field, the transmission and fraction of accelerated particles of the set of 12 RFQs for the two different methods were shown. For RFQs with small apertures and big modulations the two different method give different values for the transmission due to the limitation of the multipole expansion method. The internal space charge fields without images was analyzed at the level of single particle dynamic and compared to the well known SCHEFF routine from LANL, showing major differences for the analyzed particle. For comparing influences on the transmissions of the set of 12 RFQs a third space charge routine (PICNIC) was considered as well. The basic shape of the transmission curve was the same independent of space charge routines, but the absolute values differ a little from routine to routine, with SCHEFF about 2% lower than the other routines. The multigrid Poisson solver and PICNIC agree quite well (less than 1%), but PICNIC has an extremely long running time. The major advantage of the multigrid Poisson solver in calculating space charge effects compared to the other two routines used here is that the Poisson solver can take the effect of image charges on the electrodes into account by just changing the boundaries to have the shape of the vanes whereas all other settings remain unchanged. It was demonstrated that the effect of image charges on the vanes on the space charge field is very big in the region close to the electrodes. Particles in that region will see a stronger transversely defocusing force than without images. The result is that the transmission decreases by as much as 10% which is considerably more than determined by other (inexact) routines before. This is an important result, because knowing about the big effect of image charges on the electrodes it allows it to taken into account while designing the RFQ to increase the performance of the machine. It is also an important factor in resolving the traditional difference observed between the transmission of actual RFQs and the transmission predicted by earlier simulations. In the last chapter of this thesis some experimental work on the MAFF (Munich Accelerator for Fission Fragments) IH-RFQ is described. The machine was assembled in Frankfurt and a beam test stand was built. The shunt impedance of the structure was measured using different techniques, the output energy of the structure were measured and finally its transmission was determined and compared to the beam dynamics simulations of the RFQ. Unfortunately, the transmission measurements were done without exact knowledge of the beam’s emittance. So the comparison to the simulation is somewhat rough, but with a reasonable guess of the emittance a good comparison between the measurement and simulation was obtained.
In order to fully understand the new state of matter formed in heavy ion collisions, it is vital to isolate the always present final state hadronic contributions within the primary Quark-Gluon Plasma (QGP) experimental signatures. Previously, the hadronic contributions were determined using the properties of the known mesons and baryons. However, according to Hagedorn, hadrons should follow an exponential mass spectrum, which the known hadrons follow only up to masses of M = 2 GeV. Beyond this point the mass spectrum is flat, which indicates that there are "missing" hadrons, that could potentially contribute significantly to experimental observables. In this thesis I investigate the influence of these "missing" Hagedorn states on various experimental signatures of QGP. Strangeness enhancement is considered a signal for QGP because hadronic interactions (even including multi-mesonic reactions) underpredict the hadronic yields (especially for strange particles) at the Relativistic Heavy Ion Collider, RHIC. One can conclude that the time scales to produce the required amount of hadronic yields are too long to allow for the hadrons to reach chemical equilibrium within the lifetime of a cooling hadronic fireball. Because gluon fusion can quickly produce strange quarks, it has been suggested that the hadrons are born into chemical equilibrium following the Quantum Chromodynamics (QCD) phase transition. However, we show here that the missing Hagedorn states provide extra degrees of freedom that can contribute to fast chemical equilibration times for a hadron gas. We develop a dynamical scheme in which possible Hagedorn states contribute to fast chemical equilibration times of X X pairs (where X = p, K, Lambda, or Omega) inside a hadron gas and just below the critical temperature. Within this scheme, we use master equations and derive various analytical estimates for the chemical equilibration times. Applying a Bjorken picture to the expanding fireball, the hadrons can, indeed, quickly chemically equilibrate for both an initial overpopulation or underpopulation of Hagedorn resonances. We compare the thermodynamic properties of our model to recent lattice results and find that for both critical temperatures, Tc = 176 MeV and Tc = 196 MeV, the hadrons can reach chemical equilibrium on very short time scales. Furthermore the ratios p/pi, K/pi , Lambda/pi, and Omega/pi match experimental values well in our dynamical scenario. The effects of the "missing" Hagedorn states are not limited to the chemical equilibration time. Many believe that the new state of matter formed at RHIC is the closet to a perfect fluid found in nature, which implies that it has a small shear viscosity to entropy density ratio close to the bound derived using the uncertainty principle. Our hadron resonance gas model, including the additional Hagedorn states, is used to obtain an upper bound on the shear viscosity to entropy density ratio, eta/s, of hadronic matter near Tc that is close to 1/(4pi). Furthermore, the large trace anomaly and the small speed of sound near Tc computed within this model agree well with recent lattice calculations. We also comment on the behavior of the bulk viscosity to entropy density ratio of hadronic matter close to the phase transition, which qualitatively has a different behavior close to Tc than a hadron gas model with only the known resonances. We show how the measured particle ratios can be used to provide non-trivial information about Tc of the QCD phase transition. This is obtained by including the effects of highly massive Hagedorn resonances on statistical models, which are generally used to describe hadronic yields. The inclusion of the "missing" Hagedorn states creates a dependence of the thermal fits on the Hagedorn temperature, TH , and leads to a slight overall improvement of thermal fits. We find that for Au+Au collisions at RHIC at sqrt{sN N} = 200 GeV the best square fit measure, chi^2 , occurs at TH = Tc = 176 MeV and produces a chemical freeze-out temperature of 172.6 MeV and a baryon chemical potential of 39.7 MeV.
The recent financial crisis has highlighted the limits of the “originate to distribute” model of banking, but its nexus with the macroeconomy and monetary policy remains unexplored. I build a DSGE model with banks (along the lines of Holmström and Tirole [28] and Parlour and Plantin [39] and examine its properties with and without active secondary markets for credit risk transfer. The possibility of transferring credit reduces the impact of liquidity shocks on bank balance sheets, but also reduces the bank incentive to monitor. As a result, secondary markets allow to release bank capital and exacerbate the effect of productivity and other macroeconomic shocks on output and inflation. By offering a possibility of capital recycling and by reducing bank monitoring, secondary credit markets in general equilibrium allow banks to take on more risk. Keywords: Credit Risk Transfer , Dual Moral Hazard , Monetary Policy , Liquidity , Welfare JEL Classification: E3, E5, G3 First Draft: December 2009, This Draft: September 2010