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ResearcherID
- J-8841-2015 (1)
In this thesis various aspects of Quality of Experience (QoE) research are examined. The work is divided into three major blocks: QoE Assessment, QoE Monitoring, and VNF Performance Evaluation. First, prominent cloud applications such as Google Docs and a cloud-based photo album are explored. The QoE is characterized and the influence of packet loss and delay is studied. Afterwards, objective QoE monitoring for HTTP Adaptive Video Streaming (HAS) in the cloud is investigated. Additionally, by using a Virtual Network Function (VNF) for QoE monitoring in the cloud, the feasibility of an interworking of Network Function Virtualization (NFV) and cloud paradigm is evaluated. To this end, a VNF that exploits deep packet inspection technique was used to parse the video traffic. An algorithm is then designed accordingly to estimate video quality and QoE based on network and application layer parameters. To assess the accuracy of the estimation, the VNF is measured in different scenarios under different network QoS and the virtual environment of the cloud architecture. The insights show that the different geographical deployments of the VNF influence the accuracy of the video quality and QoE estimation. Various Service Function Chain (SFC) placement algorithms have been proposed and compared in the context of edge cloud networks. On the one hand, this research is aimed at cloud service providers by providing methods for evaluating QoE for cloud applications. On the other hand, network operators can learn the pitfalls and disadvantages of using the NFV paradigm for such a QoE monitoring mechanism.
Ill-posed optimization problems appear in a wide range of mathematical applications, and their numerical solution requires the use of appropriate regularization techniques. In order to understand these techniques, a thorough analysis is inevitable.
The main subject of this book are quadratic optimal control problems subject to elliptic linear or semi-linear partial differential equations. Depending on the structure of the differential equation, different regularization techniques are employed, and their analysis leads to novel results such as rate of convergence estimates.
The main focus of this thesis was the processing of different calcium and magnesium phosphate cements together with an optimization of mechanical and biological properties. Therefore, different manufacturing techniques like 3D powder printing and centrifugally casting were employed for the fabrication of reinforced or biomedically improved implants.
One of the main problems during 3D powder printing is the low green strength of many materials, especially when they are only physically bonded and do not undergo a setting reaction. Such materials need post-treatments like sintering to exhibit their full mechanical performance. However, the green bodies have to be removed from the printer requiring a certain stability. With the help of fiber reinforcement, the green strength of printed gypsum samples could be increased by the addition of polymeric and glass fibers within the printing process. The results showed that fiber reinforcement during 3D powder printing is possible and opens up diverse opportunities to enhance the damage tolerance of green bodies as well as directly printed samples. The transfer to biomedically relevant materials like calcium and magnesium phosphate cements and biocompatible fibers would be the next step towards reinforced patient-specific implants.
In a second approach, centrifugally casting derived from construction industries was established for the fabrication of hollow bioceramic cylinders. The aim was the replacement of the diaphysis of long bones, which exhibit a tubular structure with a high density of cortical bone on the fringe. By centrifugation, cement slurries with and without additives could be fabricated to tubes. As a first establishment, the processing parameters regarding the material (e.g. cement composition) as well as the set-up (e.g. rotation times) had to be optimized for each system. In respect of mechanics, such tubes can keep up with 3D powder printed tubes, although the mechanical performance of 3D printed tubes is strongly dependent on printing directions. Additionally, some material compositions like dual setting systems cannot be fabricated by 3D powder printing. Therefore, a transfer of such techniques to centrifugally casting enabled the fabrication of tubular structures with an extremely high damage tolerance due to high deformation ability. A similar effect was achieved by fiber (mesh) addition, as already shown for 3D powder printing. Another possibility of centrifugally casting is the combination of different materials resulting in graded structures to adjust implant degradation or bone formation. This became especially apparent for the incorporation of the antibiotic vancomycin, which is used for the treatment of bacterial implant infections. A long-term release could be achieved by the entrapment of the drug between magnesium phosphate cement layers. Therefore, the release of the drug could be regulated by the degradation of the outer shell, which supports the release into an acidic bacterial environment. The centrifugally casting technique exhibited to be a versatile tool for numerous materials and applications including the fabrication of non-centrosymmetric patient-specific implants for the reconstruction of human long bones.
The third project aimed to manufacture strontium-substituted magnesium phosphate implants with improved biological behavior by 3D powder printing. As the promoting effect of strontium on bone formation and the inhibitory impact on bone resorption is already well investigated, the incorporation of strontium into a degradable magnesium phosphate cement promised a fast integration and replacement of the implant. Porous structures were obtained with a high pore interconnectivity that is favorable for cell invasion and bone ingrowth. Despite the porosity, the mechanical performance was comparable to pure magnesium phosphate cement with a high reliability of the printed samples as quantitatively determined by Weibull statistics. However, the biological testing was impeded by the high degradation rate and the relating ion release. The high release of phosphate ions into surrounding media and the detachment of cement particles from the surface inhibited osteoblast growth and activity. To distinguish those two effects, a direct and indirect cell seeding is always required for degradable materials. Furthermore, the high phosphate release compared to the strontium release has to be managed during degradation such that the adverse effect of phosphate ions does not overwhelm the bone promoting effect of the strontium ions.
The manufacturing techniques presented in this thesis together with the material property improvement offer a diverse tool box for the fabrication of patient-specific implants. This includes not just the individual implant shape but also the application like bone growth promotion, damage tolerance and local drug delivery. Therefore, this can act as the basis for further research on specific medical indications.
Progressive loss of skeletal muscle mass, strength and function poses a major threat to independence and quality of life, particularly in the elderly. To date, sarcopenia therapy consists of resistance exercise training in combination with protein supplementation due to the limited efficacy of available pharmacological options in counteracting the effects of muscle wasting. Therapeutic intervention with growth factors including insulin-like growth factor I (IGF-I) or inhibitors of myostatin a potent suppressor of myogenesis hold potential to rebalance the altered activity of anabolic and catabolic cytokines. However, dosing limitations due to acute side effects and disruptions of the homeostasis have so far precluded clinical application.
Intending to provide a therapy with a superior safety and efficacy profile by directing drug release to inflamed tissue and minimizing off-target activity, we designed bioresponsive delivery systems for an anti-catabolic peptide and anabolic IGF-I responding to local flares of muscle wasting.
In Chapter I, current concepts for bioorthogonal conjugation methods are discussed and evaluated based on various drug delivery applications. With a focus on protein delivery, challenges and potential pitfalls of each chemical and enzymatic conjugation strategy are analyzed and opportunities regarding their use for coupling of biomolecules are given. Based on various studies conjugating proteins to polymers, particles and biomaterials using different site-directed approaches, the chapter summarizes available strategies and highlights certain aspects requiring particular consideration when applied to biomolecules. Finally, a decision process for selection of an optimum conjugation strategy is exemplarily presented.
Three of these bioorthogonal coupling reactions are applied in Chapter II detailing the potential of site-directed conjugation in the development of novel, homogenous drug delivery systems. The chapter describes the design of a delivery system of a myostatin inhibitor (MI) for controlled and local release counteracting myositis flares. MI release from the carrier is driven by increased matrix metalloproteinase (MMP) levels in compromised muscle tissues cleaving the interposed linker, thereby releasing the peptide inhibitor from the particulate carrier. Release experiments were performed to assess the response towards various MMP isoforms (MMP-1, -8, -9 and -13) – as upregulated during skeletal muscle myopathies – and the release pattern of the MI in case of disease progression was analyzed. By selection of the protease-sensitive linker (PSL) showing variable susceptibilities to proteases, release rates of the MI can be controlled and adapted. Immobilized MI as well as released MI as response to MMP upregulation was able to antagonize the effects of myostatin on cell signalling and myoblast differentiation.
The approach of designing bioresponsive protein delivery systems was also applied to the anabolic growth factor IGF-I, as described in Chapter III. Numerous studies of PEGylated proteins or peptides reveal, that successful therapy is challenged by safety and efficacy issues, as polymer attachment considerably alters the properties of the biologic, thereby jeopardizing clinical efficacy. To this end, a novel promising approach is presented, intending to exploit beneficial effects of PEGylation on pharmacokinetics, but addressing the pharmacodynamic challenges by releasing the protein upon entering the target tissue. This was realized by integration of a PSL between the PEG moiety and the protein. The soluble polymer conjugate was produced by site-directed, enzymatic conjugation of IGF-I to the PSL, followed by attachment of a 30 kDa-PEG using Strain-promoted azide-alkyne cycloaddition (SPAAC). This strategy illustrates the potential of bioorthogonal conjugation (as described in Chapter I) for generation of homogenous protein-polymer conjugates with reproducible outcome, but also emphasizes the altered protein properties resulting from permanent polymer conjugation. As compared to wild type IGF-I, the PEGylated protein showed considerable changes in pharmacologic effects – such as impaired insulin-like growth factor binding protein (IGFBPs) interactions, submaximal proliferative activity and altered endocytosis patterns. In contrast, IGF-I characteristics were fully restored upon local disintegration of the conjugate triggered by MMP upregulation and release of the natural growth factor.
For successful formulation development for the proteins and conjugates, the careful selection of suitable excipients is crucial for a safe and reliable therapy. Chapter IV addresses one aspect by highlighting the chemical heterogeneity of excipients and associated differences in performance. Polysorbate 80 (PS80) is a surfactant frequently used in protein formulations to prevent aggregation and surface adsorption. Despite being widely deployed as a standard excipient, heterogeneous composition and performance entails the risk of eliciting degradation and adverse effects on protein stability. Based on a comprehensive study using different batches of various suppliers, the PS80 products were characterized regarding chemical composition and physicochemical properties, facilitating the assessment of excipient performance in a formulation. Noticeable deviations were recorded between different suppliers as well as between batches of the same suppliers. Correlation of all parameters revealed, that functionality related characteristics (FRCs) could be reliably predicted based on chemical composition alone or by a combination of chemical and physicochemical properties, respectively.
In summary, this thesis describes and evaluates novel strategies for the targeted delivery and controlled release of biologics intended to counteract the imbalance of anabolic and catabolic proteins observed during aging and musculoskeletal diseases. Two delivery platforms were developed and characterized in vitro – (i) using anti-catabolic peptides immobilized on a carrier for local delivery and (ii) using soluble IGF-I polymer conjugates for systemic application. Both approaches were implemented by bioorthogonal coupling strategies, which were carefully selected in consideration of limitations, side reactions and efficiency aspects. Bioresponsive release of the active biomolecules following increased protease activity could be successfully realized. The therapeutic potential of these approaches was demonstrated using various cell-based potency assays. The systems allow targeted and controlled release of the growth factor IGF-I and anti-catabolic peptides thereby overcoming safety concerns of current growth factor therapy and thus positively impacting the benefit-risk profile of potent therapeutics. Taking potential heterogeneity and by-product concerns into account, comprehensive excipient characterization was performed and a predictive algorithm for FRCs developed, in order to facilitate formulation design and guarantee a safe and efficient therapy from start to finish.
The refugee crisis has developed as one of the major challenges for EU governance in recent years. From 2013 onwards, the crisis determined the political agenda and public discourse within European politics. During that time, the numbers of asylum seekers reaching Europe increased dramatically, with more than one million people applying for asylum at the crisis peak in 2015. This paper deals with the efforts taken by the EU and its member states to mitigate and overcome the refugee crisis. How exactly has the EU reacted to the refugee crisis and how and to what extend have the EU and its governance changed throughout the crisis? These research questions are approached through a reconstructive analysis of the whole period of crisis. This approach provides for a comprehensive examination of the refugee crisis that includes all issues, measures and processes of the EU’s policy reaction at the same time.
It will be argued that due to severe shortcomings of the Dublin regulation and the Common European Asylum System, a crisis in the EU’s refugee policy was already predestined. This was the case from 2013 onwards. The EU approached the crisis in three stages – neglect and non-solidarity leading to unilateral approaches by affected states, supranational short-term emergency measures during the peak of crisis and enhanced cooperation with third countries, especially with Turkey, the Western Balkans states and African states – until the crisis lost traction in 2017. Yet, the asylum system’s shortcomings are still not eliminated as the lasting measures of the EU’s crisis management between 2013 and 2018 mainly focused on border security and externalisation. EU governance changed towards more intergovernmental, informal and regional action. Further, the crisis led to serious rows between member states, leading to the fragmentation of the EU into two blocs. With decreasing numbers of asylum seeker in the last few years, what remains is an incomplete asylum system and a political crisis among member states.
Myocardial B-cell infiltration after LAD occlusion in mice is driven by CXCL13
After myocardial infarction, the immune system is activated and regulates wound healing and remodeling processes in the heart.
While the role of T cells has been elucidated already, the function of B cells in myocardial infarction remained relatively unclear until now. It is, however, already known that B cells are of importance in healing processes in other tissues, for example in the skin.
Our studies therefore addressed the role and function of B cells in healing and early remodeling processes in the myocardium after infarction.
Under physiological conditions, only few B cells can be found in the heart. After myocardial infarction, however, which we modelled with a permanent ligation of the left anterior descending artery (LAD) in C57BL/6J mice, we could demonstrate that B lymphocytes accumulate in the early phase after tissue injury (days one to seven) in the myocardium.
To detect B cells, we performed immunofluorescence stainings on cryosections of infarcted hearts using an anti-B220 antibody. Quantitative analysis of tissue infiltration revealed that B cells peaked at day seven. In flow cytometry, we further characterized the B cells infiltrating infarcted tissue. We found that most of them were mature B cells (IgM+, IgD+).
Next, we wanted to outline a potential mechanism responsible for B-cell infiltration to the site of tissue injury. We therefore performed ELISA experiments revealing that CXCL13 was upregulated in scar tissue.
Antibody-mediated neutralization of CXCL13 verifiably attenuated B-cell infiltration.
Treated mice also showed – in the tendency – smaller infarct sizes and an improved survival.
In conclusion, we could show that B lymphocytes infiltrate the myocardium after MI in mice following a local CXCL13 gradient and that it is, most likely, beneficial to inhibit this process.
Brain computer interfaces based on sensorimotor rhythms modulation (SMR-BCIs) allow people to emit commands to an interface by imagining right hand, left hand or feet movements. The neurophysiological activation associated with those specific mental imageries can be measured by electroencephalography and detected by machine learning algorithms. Improvements for SMR-BCI accuracy in the last 30 years seem to have reached a limit. The currrent main issue with SMR-BCIs is that between 15% to 30% cannot use the BCI, called the "BCI inefficiency" issue. Alternatively to hardware and software improvements, investigating the individual characteristics of the BCI users has became an interesting approach to overcome BCI inefficiency. In this dissertation, I reviewed existing literature concerning the individual sources of variation in SMR-BCI accuracy and identified generic individual characteristics. In the empirical investigation, attention and motor dexterity predictors for SMR-BCI performance were implemented into a trainings that would manipulate those predictors and lead to higher SMR-BCI accuracy. Those predictors were identified by Hammer et al. (2012) as the ability to concentrate (associated with relaxation levels) and "mean error duration" in a two-hand visuo-motor coordination task (VMC). Prior to a SMR-BCI session, a total of n=154 participants in two locations took part of 23 min sessions of either Jacobson’s Progressive Muscle Relaxation session (PMR), a VMC session, or a control group (CG). No effect of PMR or VMC manipulation was found, but the manipulation checks did not consistently confirm whether PMR had an effect of relaxation levels and VMC on "mean error duration". In this first study, correlations between relaxation levels or "mean error duration" and accuracy were found but not in both locations. A second study, involving n=39 participants intensified the training in four sessions on four consecutive days or either PMR, VMC or CG. The effect or manipulation was assessed for in terms of a causal relationship by using a PRE-POST study design. The manipulation checks of this second study validated the positive effect of training on both relaxation and "mean error duration". But the manipulation did not yield a specific effect on BCI accuracy. The predictors were not found again, displaying the instability of relaxation levels and "mean error duration" in being associated with BCI performance. An effect of time on BCI accuracy was found, and a correlation between State Mindfulness Scale and accuracy were reported. Results indicated that a short training of PMR or VMC were insufficient in increasing SMR-BCI accuracy. This study contrasted with studies succeeding in increasing SMR-BCI accuracy Tan et al. (2009, 2014), by the shortness of its training and the relaxation training that did not include mindfulness. It also contrasted by its manipulation checks and its comprehensive experimental approach that attempted to replicate existing predictors or correlates for SMR-BCI accuracy. The prediction of BCI accuracy by individual characteristics is receiving increased attention, but requires replication studies and a comprehensive approach, to contribute to the growing base of evidence of predictors for SMR-BCI accuracy. While short PMR and VMC trainings could not yield an effect on BCI performance, mindfulness meditation training might be beneficial for SMR-BCI accuracy. Moreover, it could be implemented for people in the locked-in-syndrome, allowing to reach the end-users that are the most in need for improvements in BCI performance.
The brain is the central organ of an animal controlling its behavior. It integrates internal information from the body and external stimuli from the surrounding environment to mediate an appropriate behavioral response. Since the environment is constantly changing, a flexible adjustment of the brain to new conditions is crucial for the animals’ fitness. The ability of the nervous system to adapt to new challenges is defined as plasticity. Over the last few decades great advances have been made in understanding the cellular and molecular mechanisms underlying neuronal plasticity. Plasticity may refer to structural changes physically remodeling the neuronal circuit, or to functional adaptations which are manifested in modified synaptic transmission, and in altered response and firing properties of single neurons. These structural and functional modifications are mediated by a complex interplay of environmental stimuli, intracellular signal transduction cascades, protein modifications, gene translation and transcription, and epigenetic gene regulatory mechanisms. However, especially the molecular mechanisms of environmentally-induced structural neuronal plasticity are still poorly understood.
In this thesis the honey bee was used as an innovative model organism to investigate this issue. The honey bee with its rich behavioral repertoire, highly sophisticated and plastic neuronal system, sequenced genome and full epigenetic machinery is well suited for studying the molecular underpinnings of environmentally-induced neuronal plasticity. Adult honey bees progress through a series of tasks within the dark hive until after about three weeks they start with foraging activities in the external world. The transition from in-hive to outside tasks is associated with remarkable structural neuronal plasticity. Subdivisions of the mushroom body, a brain region related to higher cognitive functions, are increased in volume. The volume expansion is mediated by a remarkable outgrowth of the dendritic network of mushroom body intrinsic neurons, so called Kenyon cells. In parallel, prominent synaptic structures, referred to as microglomeruli, are pruned. Most interestingly for this thesis, the pruning of microglomeruli and the dendritic expansion in Kenyon cells can be induced by a simple light exposure paradigm.
In the first chapter of the present thesis I used this paradigm to induce synaptic plasticity in the mushroom bodies under controlled lab conditions to search for correlating molecular changes which possibly mediate the observed plasticity. I compared the brain transcriptome of light-exposed and dark-kept control bees by whole transcriptome sequencing. This revealed a list of differentially expressed genes (DEGs). The list contains conserved genes which have reported functions in neuronal plasticity, thereby introducing them as candidate genes for plasticity in the honey bee brain. Furthermore, with this transcriptomic approach I discovered many candidate genes with unknown functions or functions so far unrelated to neuronal plasticity suggesting that these novel genes may have yet unrecognized roles in neuronal plasticity. A number of DEGs are known to be methylated or to exert epigenetic modifications on themselves speaking for a strong impact of epigenetic mechanisms in light-induced structural plasticity in the honey bee brain. This notion is supported by a differential methylation pattern of one examined DEG between light-exposed and dark-kept bees as shown in this thesis. Also a plasticity-related microRNA, which is predicted to target genes associated with cytoskeleton formation, was found to be upregulated in light-exposed bees. This speaks for a translation regulatory mechanism in structural plasticity in the honey bee.
Another interesting outcome of this study is the age-dependent expression of DEGs. For some plasticity-related DEGs, the amplitude of light-induced expression differs between one- and seven-day-old bees, and also the basal expression level of many DEGs in naive dark-kept control bees significantly varies between the two age groups. This suggests that the responsiveness of plasticity-related genes to environmental stimuli is also under developmental (age-dependent) control, which may be important for normal maturation and for the regulation of age-related changes in behavior. Indeed, I was able to demonstrate in phototaxis experiments that one- and seven-day-old bees show different behaviors in response to light exposure and thus the correlating age-dependent transcriptional differences may serve as mechanisms promoting age-related changes in behavior.
Together the results of the transcriptomic study demonstrate the successfulness of my approach to identify candidate molecular mechanisms for environmentally-induced structural plasticity in the honey bee brain. Furthermore, the thesis provides seminal evidence for the implication of DNA methylation in this process.
To better understand the role of DNA methylation for neuronal and behavioral plasticity in the honey bee, the second chapter of the thesis aims at characterizing this molecular process under more natural conditions. Therefore, I examined the expression of the DNA methyltransferase 3 (DNMT3) and of Ten-eleven translocation methylcytosine dioxygenase (TET) between in-hive bees and foragers. DNMT3 is responsible for DNA de novo methylation, whereas TET promotes DNA demethylation by converting methylcytosine (5mC) to hydroxymethylcytosine (5hmC). The data suggest that age and experience determine the expression of these two epigenetic key genes. Additionally, in this context, two examined DEGs are shown to be differentially methylated between nurses and foragers. One of these two DEGs, the plasticity related gene bubblegum (bgm), also exhibits an altered DNA methylation pattern in response to light exposure. Hence, these results of my thesis provide additional evidence for the importance of DNA methylation in behavioral and neuronal plasticity.
Results from the second chapter of this thesis also suggest additional functions of DNMT3 and TET to their traditional roles in DNA methylation/demethylation. I show that TET is far more expressed in the honey bee brain than DNMT3. This stands in contrast to the relative scarcity of 5hmC compared to 5mC and points at extra functions of this gene like RNA modifications as reported for Drosophila. Antibody staining against the DNMT3 gene product revealed an unexpected rare localization of the enzyme in the nucleus, but a surprisingly high abundance in the cytoplasm. The role of cytoplasmic DNMT3 is unknown. One possibility for the high abundance in the cytoplasm is a regulatory mechanism for DNA methylation by cytoplasmic-nuclear trafficking, or an additional function of DNMT3 in RNA modification, similar to TET.
Altogether, this thesis points at future research directions for neuronal plasticity by providing promising evidence for the involvement of epigenetic mechanisms and of a number of new candidate genes in environmentally induced structural plasticity in the honey bee brain. Furthermore, I present data suggesting so far unrecognized functions of DNMT3 which certainly need to be experimentally addressed in the future to fully understand the role of this enzyme.
The presented thesis summarizes the results from four and a half years of intense lithography development on (Cd,Hg)Te/HgTe/(Cd,Hg)Te quantum well structures. The effort was motivated by the unique properties of this topological insulator. Previous work from Molenkamp at al.\ has proven that the transport through such a 2D TI is carried by electrons with opposite spin, counter-propagating in 1D channels along the sample edge. However, up to this thesis, the length of quantized spin Hall channels has never been reported to exceed 4 µm. Therefore, the main focus was put on a reproducible and easy-to-handle fabrication process that reveals the intrinsic material parameters.
Every single lithography step in macro as well as microscopic sample fabrication has been re-evaluated. In the Development, the process changes have been presented along SEM pictures, microgaphs and, whenever possible, measurement responses.
We have proven the conventional ion milling etch method to damage the remaining mesa and result in drastically lower electron mobilities in samples of microscopic size.
The novel KI:I2:HBr wet etch method for macro and microstructure mesa fabrication has been shown to leave the crystalline structure intact and result in unprecedented mobilities, as high as in macroscopic characterization Hall bars. Difficulties, such as an irregular etch start and slower etching of the conductive QW have been overcome by concentration, design and etch flow adaptations. In consideration of the diffusive regime, a frame around the EBL write field electrically decouples the structure mesa from the outside wafer. As the smallest structure, the frame is etched first and guarantees a non-different etching of the conductive layer during the redox reaction. A tube-pump method assures reproducible etch results with mesa heights below 300 nm. The PMMA etch mask is easy to strip and leaves a clean mesa with no redeposition. From the very first attempts, to the final etch process, the reader has been provided with the characteristics and design requirements necessary to enable the fabrication of nearly any mesa shape within an EBL write field of 200 µm.
Magneto resistance measurement of feed-back samples have been presented along the development chronology of wet etch method and subsequent lithography steps. With increasing feature quality, more and more physics has been revealed enabling detailed evaluation of smallest disturbances. The following lithography improvements have been implemented. They represent a tool-box for high quality macro and microstructure fabrication on (CdHg)Te/HgTe of almost any kind.
The optical positive resist ECI 3027 can be used as wet and as dry etch mask for structure sizes larger than 1 µm. It serves to etch mesa structures larger than the EBL write field.
The double layer PMMA is used for ohmic contact fabrication within the EBL write field. Its thickness allows to first dry etch the (Cd,Hg)Te cap layer and then evaporate the AuGe contact, in situ and self-aligned. Because of an undercut, up to 300 nm can be metalized without any sidewalls after the lift-off. An edge channel mismatch within the contact leads can be avoided, if the ohmic contacts are designed to reach close to the sample and beneath the later gate electrode.
The MIBK cleaning step prior to the gate application removes PMMA residuals and thereby improves gate and potential homogeneity.
The novel low HfO2-ALD process enables insulator growth into optical and EBL lift-off masks of any resolvable shape. Directly metalized after the insulator growth, the self-aligned method results in thin and homogeneous gate electrode reproducibly withholding gate voltages to +-10 V.
The optical negative resist ARN 4340 exhibits an undercut when developed. Usable as dry etch mask and lift-off resist, it enables an in-situ application of ohmic contacts first etching close to the QW, then metalizing AuGe. Up to 500 nm thickness, the undercut guarantees an a clean lift-off with no sidewalls.
The undertaken efforts have led to micro Hall bar measurements with Hall plateaus and SdH-oszillations in up to now unseen levels of detail.
The gap resistance of several micro Hall bars with a clear QSH signal have been presented in Quantum Spin Hall. The first to exhibit longitudinal resistances close to the expected h/2e2 since years, they reveal unprecedented details in features and characteristics. It has been shown that their protection against backscattering through time reversal symmetry is not as rigid as previously claimed. Values below and above 12.9 kΩ been explained, introducing backscattering within the Landauer-Büttiker formalism of edge channel transport. Possible reasons have been discussed. Kondo, interaction and Rashba-backscattering arising from density inhomogeneities close to the edge are most plausible to explain features on and deviations from a quantized value. Interaction, tunneling and dephasing mechanisms as well as puddle size, density of states and Rashba Fields are gate voltage dependent. Therefore, features in the QSH signal are fingerprints of the characteristic potential landscape.
Stable up to 11 K, two distinct but clear power laws have been found in the higher temperature dependence of the QSH in two samples. However, with ΔR = Tα, α = ¼ in one (QC0285) and α = 2 in the other (Q2745), none of the predicted dependencies could be confirmed. Whereas, the gap resistances of QC0285 remains QSH channel dominated up to 3.9 T and thereby confirmed the calculated lifting of the band inversion in magnetic field. The gate-dependent oscillating features in the QSH signal of Q2745 immediately increase in magnetic field. The distinct field dependencies allowed the assumption of two different dominant backscattering mechanisms.
Resulting in undisturbed magneto transport and unprecedented QSH measurements The Novel Micro Hall Bar Process has proven to enable the fabrication of a new generation of microstructures.
Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET.
Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated.
Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.).
Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.