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Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
African trypanosomes are the causative agents of fatal diseases in humans and livestock. Trypanosomes show a complex lifecycle and shuttle between the transmitting vector, the tsetse (Glossina spec.), and the mammalian host. As a result of this the parasite undergoes tremendous changes in morphology and metabolism to adapt to the different living environments.
The two best-studied lifecycle stages are the procyclic forms (PCF) that live in the tsetse fly and the proliferative bloodstream form (BSF) that resides in the mammalian blood. The most conspicuous weapon that trypanosomes use to evade the host immune attack is a dense layer of a single protein type, the variant surface glycoprotein (VSG), which shields the entire cell surface. Immune evasion required high rates of surface membrane turnover and surface coat recycling.
Trypanosomes show highly polarised cell architecture with all major eukaryotic organelles (endoplasmic reticulum, Golgi apparatus, endosomal apparatus, lysosome, mitochondrion and peroxisome-like glycosomes) generally present in single copy. Furthermore, trypanosomes possess a single flagellum, which is important not only for cellular motility but also for cell division.
How the duplication of all these cellular components is coordinated in order to progresss through the cell division cycle is poorly understood.
We used trypanosomes as a model organism due to the relative simplicity and the polarised nature of their cell architecture and determined the duplication of all their compartments. This was only possible due to a new synchronisation approach developed during this project.
In the first part of the thesis a precise temporal map of the cell division cycle of the BSF T. brucei cell division cycle was generated. By the use of well-described morphological markers (K/N status, new flagellum outgrowth and DNA synthesis) the position of individual cells was determined with high temporal resolution; this allowed us for the first time to synchronise a cell population in silico without affecting the naturally asynchronous growth.
In the second part of the thesis we used this tool to follow duplication events of the Major organelles during progression through the cell division cycle. We precisely determined the time points of organelle duplication and found that it is ordered in trypanosomes. Furthermore we found that BSF T. brucei cells do not grow continuously, cell size start to increase rapidly, during a short period of time, late in the cell division cycle. We speculate that the initiation of cell volume increase is temporally separated from the formation of all secretory organelles in order to ensure maintenance of the protective coat, which must remain intact at all times in order for BSF trypanosomes to be able to evade the host immune response.
Reliable standards and criteria for somatostatin receptor (SSTR) positron emission tomography (PET) are still lacking. We herein propose a structured reporting system on a 5-point scale for SSTR-PET imaging, titled SSTR-RADS version 1.0, which might serve as a standardized assessment for both diagnosis and treatment planning in neuroendocrine tumors (NET). SSTR-RADS could guide the imaging specialist in interpreting SSTR-PET scans, facilitate communication with the referring clinician so that appropriate work-up for equivocal findings is pursued, and serve as a reliable tool for patient selection for planned Peptide Receptor Radionuclide Therapy.
Characterization of motility and erythrocyte adherence as virulence factors in African trypanosomes
(2018)
Pathogens causing African animal trypanosomiasis (AAT), the major livestock disease in sub-Saharan Africa, belong to the salivarian group of the African trypanosomes, which are transmitted by the bite of the tsetse fly (Glossina spec.). T. vivax, T. congolense and T. brucei brucei are major pathogens of cattle in particular, causing nagana, with dramatic socio-economic consequences for the affected regions. The parasites additionally have a huge reservoir of other livestock and wild animal hosts. T. brucei, the species which also includes the subspecies pathogenic to humans causing sleeping sickness, has been extensively studied as the cultivatable model trypanosome. But less is known about the other salivarian species, which are not routinely held in culture, if at all possible. A hallmark of trypanosomal lifestyle is the protozoan flagellates incessant motility, which enables them to populate an enormous range of habitats in very diverse hosts. We were now able to characterize, for the first time with high spatiotemporal resolution microscopy, the swimming behaviour and mechanism of the most relevant salivarian species isolated directly from blood. We show the influence of viscosity on the motility of bloodstream form (BSF) cells and simulate their movement between erythrocytes, giving a clear picture of how all analyzed species move under varying environmental conditions. We show that although the basic mechanism of flagellar motility applies to all analyzed species, there are clear morphological differences that produce different reactions to the physical environment. We could define specific conditions for highly increased swimming persistence and speed for compared to the behaviour in standard culture. These results have important implications for the parasites survival strategies in the host, e.g. regarding the capacity for antibody clearance. Although we show all species to effectively remove antibodies from the cell surface, T. congolense differed markedly in its motility behaviour, which gives rise to interesting questions about this species behaviour in the bloodstream. Most of the T. congolense parasites (and to a lesser extent T. vivax) adhere to sheep erythrocytes. Further in vitro studies showed that T. congolense and T. vivax adhered to rabbit, goat, pig and cattle erythrocytes- but binding behaviour was absent in murine blood. Notably, both T. brucei and T. evansi lacked adherence to all studied host erythrocytes. Generally, attachment to blood cells caused reduction of swimming velocities. Judging from its cell architecture, as well as the motility studies in higher media viscosity and in micropillar arrays, T. congolense is not adapted to swim at high speeds in the mammalian bloodstream. Low swimming speeds could allow these purely intravascular parasites to remain bound to the host erythrocytes.
Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results.
Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 % for desipramine, 25.5 % for venlafaxine, 11.7 % for bupropion and 0.72 % for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake.
Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient’s neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.
Urban areas are population, culture and infrastructure concentration points. Electricity blackouts or interruptions of water supply severely affect people when happening unexpected and at large scale. Interruptions of such infrastructure supply services alone have the potential to trigger crises. But when happening in concert with or as a secondary effect of an earthquake, for example, the crisis situation is often aggravated. This is the case for any country, but it has been observed that even highly industrialised
countries face severe risks when their degree of acquired dependency on services of what is termed Critical Infrastructure results in even bigger losses when occurring unexpectedly in a setting that usually has high reliability of services.
Involvement of neuronal nitric oxide synthase (NOS-I) PDZ interactions in neuropsychiatric disorders
(2018)
Neuronal nitric oxide (NO) synthase (NOS-I) and its adaptor protein (NOS1AP) have been repeatedly and consistently associated with neuropsychiatric disorders in several genetic association and linkage studies, as well as functional studies. NOS-I has an extended PDZ domain which enables it to interact with postsynaptic density protein 95 (PSD-95) bringing NOS-I in close proximity to NMDA receptors. This interaction allows NMDA receptor activity dependent calcium-influx to activate NOS-I, linking NO synthesis to regulation of glutamatergic signaling pathways. NOS1AP is a PDZ-domain ligand of NOS-I and has been proposed to compete with PSD-95 for NOS-I interaction. Studies performed on post-mortem brain tissues have shown increased expression of NOS1AP in patients with schizophrenia and bipolar disorder, suggesting that increased NOS-I/NOS1AP interactions might be involved in neuropsychiatric disorders possibly through disruption of NOS-I PDZ interactions. Therefore, I have investigated the involvement of NOS-I in different endophenotypes of neuropsychiatric disorders by targeting its specific PDZ interactions in vitro and in vivo. To this end, I used recombinant adeno-associated virus (rAAV) vectors expressing NOS1AP isoforms/domains (NOS1AP-L: full length NOS1AP; NOS1AP-LC20: the last 20 amino acids of NOS1AP-L, containing the PDZ interaction motif suggested to stabilize interaction with NOS-I; NOS1AP-LΔC20: NOS1AP-L lacking the last 20 amino acids; NOS1AP-S: the short isoform of NOS1AP), residues 396-503 of NOS1AP-L (NOS1AP396-503) encoding the full NOS-I interaction domain, and N-terminal 133 amino acids of NOS-I (NOS-I1-133) encoding for the extended PDZ-domain.
Neuropsychiatric disorders involve morphological brain changes including altered dendritic
development and spine plasticity. Hence, I have examined dendritic morphology in primary cultured hippocampal and cortical neurons upon overexpression of constructed rAAV vectors. Sholl analysis revealed that overexpression of NOS1AP-L and NOS1AP-LΔC20 mildly reduced dendritic length/branching. Moreover, overexpression of all NOS1AP isoforms/domains resulted in highly altered spine plasticity including significant reduction in the number of mature spines and increased growth of filopodia. These findings suggest that NOS1AP affects dendritic growth
and development of dendritic spines, which may involve both, increased NOS-I/NOS1AP interaction as well as interaction of NOS1AP with proteins other than NOS-I. Interestingly, the observed alterations in dendritic morphology were reminiscent of those observed in post-mortem brains of patients with neuropsychiatric disorders.
Given the dendritic alterations in vitro, I have examined, whether disruption of NOS-I PDZ interaction would also result in behavioral deficits associated with neuropsychiatric disorders. To this end, rAAV vectors expressing NOS1AP-L, NOS1AP396-503, NOS-I1-133, and mCherry were stereotaxically delivered to the dorsal hippocampus of 6-week-old male C57Bl/6J mice. One week after surgery, mice were randomly separated into two groups. One of those groups underwent three weeks of chronic mild stress (CMS). Afterwards all mice were subjected to a comprehensive behavioral analysis. The findings revealed that overexpression of the constructs did not result in phenotypes related to anxiety or depression, though CMS had an anxiolytic effect independent of the injected construct. Mice overexpressing NOS-I1-133, previously shown to disrupt NOS-I/PSD-95 interaction, showed impaired spatial memory, sensorimotor gating, social interaction, and increased locomotor activity. NOS1AP overexpressing mice showed mild impairments in sensorimotor gating and spatial working memory and severely impaired social interaction. NOS1AP396-503 overexpressing mice also showed impaired social interaction but enhanced sensorimotor gating and reduced locomotor activity. Taken together, these behavioral findings indicate an involvement of NOS-I PDZ interactions in phenotypes associated with positive symptoms and cognitive deficits of psychotic disorders.
In summary, this study revealed an important contribution of NOS-I protein interactions in the development of endophenotypic traits of neuropsychiatric disorders, in particular schizophrenia,
at morphological and behavioral levels. These findings might eventually aid to a better
understanding of NOS-I-dependent psychopathogenesis, and to develop pharmacologically relevant treatment strategies.
Influence of interleukin-6-type cytokine oncostatin M on murine aortic vascular smooth muscle cells
(2018)
Oncostatin M (OSM) is a cytokine of the interleukin-6 family and released in the early
phase of inflammation by neutrophils, activated macrophages, dendritic cells, and T
lymphocytes. Its roles in physiology and disease are not entirely understood yet. It
has been shown recently that substantial amounts of OSM are found in atherosclerotic
plaques.
The first part of this thesis addresses the effects of OSM on vascular smooth muscle
cells (VSMCs). This cell type is known to contribute to atherogenesis and expresses
the type I and type II OSM receptor complexes. This study revealed that OSM is a
strong inducer of an array of genes which have recently been shown to play important
roles in atherosclerosis. Investigation of VSMCs isolated from OSMRbeta-deficient
(Osmr-/-) mice proved that the regulation of these target genes is entirely dependent
on the activation of the type II OSMR complex. In addition to OSM, other cytokines
expressed by T lymphocytes were found to contribute to plaque development. According
to earlier publications, the influence of IL-4, IL-13, and IL-17 on the progression of
plaques were discussed controversially. Nevertheless, for the regulation of investigated
atherosclerotic target genes and receptor complexes in VSMCs, they seemed to play a
minor role compared to OSM. Only the expression of the decoy receptor IL-13Ralpha2 - a
negative feedback mechanism for IL-13-mediated signalling - was strongly induced after
treatment with all mentioned cytokines, especially when VSMCs were primed with OSM
before stimulation.
The second part of this thesis focuses on the role of OSM during the progression of
atherosclerosis in vivo. Therefore, Ldlr-/-Osmr-/- mice were generated by crossing Ldlr-/-
mice - a typical mouse model for atherosclerosis - with Osmr-/- mice. These double-deficient
mice together with Ldlr-/-Osmr+/+ mice were set on cholesterol rich diet (Western
diet, WD) for 12 weeks before they were sacrificed. Determination of body and
organ weight, staining of aortas and aortic roots as well as gene expression profiling
strongly suggested that Ldlr-/-Osmr-/- mice are less susceptible for plaque development
and weight gain compared to Ldlr-/-Osmr+/+ mice. However, further experiments and
additional controls (C57Bl/6 and Osmr-/- mice) on WD are necessary to clarify the
underlying molecular mechanisms.
Taken together, the interleukin-6-type cytokine OSM is a strong inducer of an array of
target genes involved in de-differentiation and proliferation of VSMCs, a process known
to contribute substantially to atherogenesis. Further in vivo studies will help to clarify
the role of OSM in atherosclerosis.