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This thesis deals with the energy system transformation of coal-dependent developing countries in the context of climate change mitigation. It departs from the hypothesis that phasing-out the unabated use of coal for power generation, while scaling up carbon-free alternatives, represents a major challenge for coal-endowed developing countries and emerging economies. This challenge is constituted in multiple economic, political and societal determinants for sustained and expanded coal-use. This thesis adopts a political economy perspective and examines those determinants in detail. It focuses on how different societal and political actors are affected the use of coal, and interprets the distributional implications of reforms away from coal as key restrictions for their political feasibility. Given the heterogeneity in the historical, socio-economic, political, and institutional characteristics that different countries exhibit, which are hypothesized to impact on the drivers behind coal-use, this thesis adopts a case-study based approach. It focuses on two large Asian economies, Indonesia and India, as coal-endowed emerging economics with a pivotal relevance in global climate protection efforts. Three main chapters represent the core of this thesis. The first main chapter of this thesis examines the political economy of the power sector and coal mining in Indonesia, focusing on the drivers for the continued use of coal for electricity generation. It presents an expert-interview case study, based on the perspective of 90 expert stakeholder in Indonesia´s energy and climate policy, at national and subnational level. The study identifies key societal and political actors behind Indonesia´s energy- and climate policies driving coal-use, spells out their objectives, and examines how these actor-specific interests’ effect on energy and climate policies. The second main chapter of this thesis studies the implications of an Indian energy transition away from coal-use along three dimensions: the distributional impacts towards households, the implications for employment, and the impact on competitiveness of industries. The input-output based, distributional- incidence case study analyses the concentration of impacts for key societal groups affected by a coal phase-out and renewable energy phase-in, and its spatial distribution across Indian states and regions. The third main chapter of this thesis studies the cost-competitiveness of renewable energy alternatives to coal in Indonesia. The energy modelling based analysis shows how the cost-optimal composition of Indonesia´s power sector in coming decades would comprise high shares of coal-fired electricity. The three main chapters of this thesis identify political economy challenges to a transition away from coal, outlining how a successful coal phase-out will require focusing on its context-dependent distributional and political implications.
Significance of storm spatiotemporal variability and movement in flood hydrodynamic modelling
(2024)
This dissertation aims to explore the impact of various storm properties on computational flood modelling and to propose a method for integrating them into flood risk assessment. It focuses on three key areas:
Firstly, it examines within-storm variability, investigating how variations in storm intensity, duration, and spatial distribution affect runoff dynamics. Through a systematic theoretical approach, the study generates synthetic rainfall signals with different hyetograph variabilities and applies them to a hydrodynamic model. The results highlight the significant influence of storm spatiotemporal variability on runoff response, affecting peak discharge, hydrograph shapes, and flooded areas. Temporal variability emerges as particularly dominant, overshadowing spatial variability and other storm properties such as return period and volume. The study emphasizes the spatial dependency of these effects within the drainage network.
Secondly, it investigates the role of storm movement in flood modelling, recognizing its potential to alter runoff dynamics and inundation patterns. By generating synthetic rain hyetographs traversing the catchment area at varying velocities and directions, the study shows that storm movement significantly impacts runoff response and flood extents. Higher storm velocities lead to more pronounced peaks and faster runoff onsets, resulting in larger flooded areas. The direction of storm movement plays a crucial role, with storms aligning with the average stream direction causing the highest peaks and flooded areas. The magnitude of this influence varies depending on the location within the catchment.
Finally, the dissertation introduces a dynamic spatiotemporal rainfall model aimed at preserving storm event properties. Using an event-based approach, dynamic precipitation events are identified and regenerated, ensuring the conservation of storm spatiotemporal variability and movement characteristics. This facilitates the generation of more physically plausible and spatiotemporally coherent precipitation time series. The model prioritizes user accessibility, offering a practical tool for integrating storm properties into flood computation modelling and risk analysis frameworks. By addressing these aspects of storm behaviour, the dissertation contributes to enhancing the accuracy and effectiveness of flood modelling, thereby improving flood risk mitigation efforts.
Reliability assessment of pipeline failure factors has become a major concern for industrial firms involved in the transmission of oil and gas, where the requirement to limit these failure factors and their consequences, such as maintenance costs, is particularly significant. Pipelines were constructed throughout time to include safety precautions in order to offer a theoretical minimal failure rate for the pipeline's whole life. This strategy also includes the management of various failure causes as well as routine-based maintenance to assure the dependability of pipelines during their service life. However, the requirement to reduce the impact of these failure factors on pipelines has bolstered the use of reliability evaluation of failure factors on petroleum pipelines. The purpose of this study is to evaluate the reliability of oil pipelines in Nigeria, with emphasis on proposing operational and technical changes to enhance their resilience against unexpected failures. The thesis uses the regular Poisson, empirical, and compound Poisson processes to describe the number of common failure causes owing to corrosion, third-party damage, mechanically induced failure, operational mistakes, and natural hazards in repairable systems. The statistical analysis results serve as the foundation for time to failure modeling of petroleum pipelines utilizing Bayesian inference of the three-parameter Exponentiated Weibull distribution. The thesis also includes reliability probabilistic methods for assessing the influence of uncertainties in pipelines by comparing the First order reliability method (FORM) with the Second order reliability method (SORM) with demonstration on five distinct petroleum pipelines. The probability of failure and the reliability index for the five pipelines were calculated, along with the target reliability. Additionally, the influence of specific pipeline design parameters on the probability of failure was analyzed through sensitivity analysis. This analysis helps identify which design factors have the most significant impact on the likelihood of pipeline failure, allowing for more informed decisions in pipeline design and maintenance practices. By understanding these influences, it is possible to enhance the overall reliability and safety of the pipeline infrastructure. The framework developed in this thesis can be applied to enhance the performance of existing pipelines and serve as a good foundation for the design and implementation of new pipelines and similar infrastructures.
Benign prostatic hyperplasia (BPH) is considered an age-related disease of men with unknown etiopathophysiology. Chronic inflammation represents one of the most important pathophysiological mechanisms in this context, and there is also evidence for the involvement of autoimmune responses in an inflammatory environment in the prostate. Conventional therapeutic approaches for BPH are limited; however, immunosuppression by TNF (tumor necrosis factor)-𝛼 blockers seems to reduce symptoms in BPH patients due to the reduction of epithelial hyperplasia and macrophage-triggered inflammation. Therefore, this cumulative dissertation addresses biomarker-based BPH diagnosis by lens epithelium-derived growth factor splice variant 75 kDa (LEDGF/p75). LEDGF/p75 is an autoantigen that is overexpressed in solid tumors and functions as a stress-related transcriptional co-activator. It also plays an important role in cancer and DNA damage repair (DDR). The generation of CRISPR/Cas9-modified HEp-2 LEDGF deficient (KO) and HEp-2 LEDGF/p75 overexpressing (OE) cell lines provided new insights for the diagnosis and therapy of cancer and genetic disorders. Herein, IgG autoantibody reactivity to LEDGF/p75 was detected in patients with prostate cancer (PCa, n=89), bladder cancer (BCa, n=116), benign prostatic hyperplasia (BPH, n=103) and blood donors (BD, n=60) by indirect immunofluorescence assay (IFA) linear immunoassay (LIA) and Chritidia luciliae immunofluorescence test (CLIFT). In addition, proliferation and migration capacity as well as chemosensitivity of genome-edited cells were determined by optimized all-in-one approach, followed by investigation of DDR signaling pathways by Western blot and immunofluorescence. Surprisingly, no increased binding of autoantibodies (autoAbs) to LEDGF/p75 was detected in cancer patients, but autoAb reactivity to LEDGF/p75 O/E cells was unexpectedly increased in approximately 50% of patients with BPH. At the molecular level, LEDGF-deficient cells exhibit decreased proliferation and migration and increased sensitivity to the chemotherapeutic agent etoposide. A significantly Decreased DNA damage response could also be visualized. New diagnostic capabilities using HEp-2 cells overexpressing LEDGF/p75 or mitochondrial DNA as autoimmune targets could be used to identify BPH patients with autoimmune responses. Furthermore, this Thesis shows that LEDGF is not only involved in the recruitment of DNA damage response proteins, but also affects the proteosomal regulation of DDR signaling molecules.
The hetero-integration of group IV and III-V epitaxial layers on silicon (Si) substrates enables novel devices for optoelectronic and high-power applications. However, lattice and thermal mismachtes lead to an unavoidable formation of defects in hetero-epitaxy. The consideration of these defects is important in semiconductor devices as they affect material properties and impair the device performances. Besides the structural characterization of the unintentional introduced defects and the question of it’s origin, it is essential to evaluate their electrical activity in order to describe their impact on the device performance.
This work explores the electrical activity of threading dislocations (TDs) in Ge-rich SiGe heterostructures integrated on Si substrates as well as the electrical active defects introduced by the growth of aluminium-nitride (AlN) seed layers for the integration of gallium-nitride (GaN) on Si substrates.
I demonstrated a defect-related p-type conductivity of intrinsically grown Si0.06Ge0.94/Ge heterostrcutures that reaffirms previous work of similar intrinsic Ge-based material. Moreover, I detailed the threading dislocation related leakage currents in rectifying devices, revealing a power law dependence on the threading dislocation density (TDD). By a variation of temperature I determined the dominant mechanism of transport of this leakage currents in different temperature regimes, for which I suggested possible interactions with TD related defect states. Through the reduction of leakage currents in the fabricated MOS capacitors I was able to examine an effective carrier concentration of 5-6x1015 cm−3 in the nominally intrinsic Si0.06Ge0.94 epitaxial layer, which decreases down to 1x1015 cm−3 in the Ge buffer underneath. By applying deep level transient spectroscopy (DLTS) I found one dominant hole trap at mid-gap position confirming the presence of an TD-related effective generation-recombination center. In addition, I investigated the hole trapping kinetics of this defect level and associated it with point defects that are trapped in the strain field around threading dislocations.
I obtained insights into defect formation in the Si substrate and at the AlN/Si interface in dependence of the AlN growth temperature. A low temperature growth step prevented a deep in-diffusion of Al atoms into the Si substrate with simultaneous increase of the maximal p-type doping in the vicinity of the AlN/Si interface. Furthermore, I found a bulk hole trap inside the Si substrate at mid-gap position that showed an increase in density by applying a low temperature growth step. In contrast, the defect states at the AlN/Si interface decreased when a low temperature growth step was applied, in comparison to AlN layers grown at continuous high temperatures.
By the year 2539 almost 75% of all freshwater mollusc species within Europe will be lost. The transformation of natural ecosystems, the extension of infrastructure, as well as agriculture are the main threats. The Roman snail (Helix pomatia L. 1758) has been part of human culture for centuries and is protected by law as an endangered species in several regions, and at the same time regarded and treated as a pest, making the conservation of this species difficult.
The aim of this thesis was to create a better understanding of H. pomatia and its functional role within the ecosystem. Eight subpopulations were studied regarding its role within the food web, the use of empty shells as a mircohabitat and its influence on vegetation by showing food preferences. The latter, due to the fact, that a strong predation pressure can minimize habitats, which leads to higher pressure on the local vegetation and a limited possibility of shells being used as a microhabitat.
First, the relationships between H. pomatia individuals, subpopulations and their predators were analysed. The total number and percentage of shells that showed external attack marks by predators (32%) and internal utilization marks by Diptera pupae (45%) were analysed and correlated to morphometric traits of shells. Signs of external attack and internal utilization marks were positively correlated (R = 0.79; P = 0.020). External attacks were more regular in larger shells and internal utilization was more frequent in shells with higher body density.
The second chapter focuses on the shells of H. pomatia and their value as microhabitat for shell adopters in different vegetation forms and during two sample periods. Out of 618 collected shells, 91.4 % were inhabited and the average was 1.5 time higher in summer, than in autumn. The number of shell adopters per shell was 1.5 times higher in herbaceous vegetation, than in areas dominated by trees. Shell width (P = 0.008), but not shell height (P = 0.078) had a significant higher influence.
Finally, food preferences of H. pomatia were analysed, showing a pronounced preference for Urtica dioica (35% of all 697 feeding interactions) and plant litter (44%). Only 27 out of 143 available plant species were eaten and a literature review confirmed U. dioica as a food plant for 19 other terrestrial snail species. The width and height of the snail shells were related to the feeding height as smaller, juvenile snails fed higher in vegetation (384mm ± 327mm) compared to adult individuals (68mm ± 194mm) (P<0.001).
These results highlight the importance of H. pomatia in the studied ecosystem. H. pomatia is an important food source for predators and host for parasitoids, the shells offer habitat and refuge for soil organisms and as a relatively specialized herbivore and decomposer H. pomatia contributes to herbivory and nutrient cycling in ecosystems.
Hopefully this study may help to motivate future conservation efforts.
Due to environmental impacts from anthropomorphic climate change, countries from around the world are committed to an energy transition from fossil fuels to renewable and sustainable energy sources. The heating and cooling sector represents the largest share of total energy consumption globally, not only for domestic use but also for commercial and industrial purposes of which only 11% is covered by renewable energy. One renewable source, geothermal energy, has the potential to cover much of this demand, particularly heating demand, for the agriculture and food sector. Geothermal use in the agri-food industry continues to be positive overall, yet slow adoption and inconsistent growth have not met its potential as claimed by experts. This trend may be explained by a lack of coherent policy and initiatives from regulating government bodies. This research explores the relationship and the degree of correlation between government support, expressed in terms of policy incentives, and the growth of geothermal energy use in the agri-food sector. Two hypotheses are constructed to test this relationship. The first assumes that government support through policy leads to positive growth in geothermal argi-food, and the second assumes that no relationship exists. The research is a multiple case study of twelve countries from 2010 to 2020. Methods used in this study include Likert summative scale, a statistical and content analysis of secondary sources such as policy documents, laws, and other government acts. The results show a strong correlation between policy incentives and adoption of geothermal energy in agri-food sector. However, only 23% of growth in capacity in case countries can be explained by the levels of government support. Additionally, not all policies hold equal weight in that they are implemented on different levels of governance (global, national, and local). The study observes that between these three levels, national policies have the most correlative effect on geothermal energy adoption, while global and local policies do not seem to have significant influence. These effects vary but the overall market trends are influenced heavily by leading performers. Countries that show the most growth are – Hungary, Iceland, the Netherlands, and Türkiye. They all share strong government support on a national level, targeted policies for geothermal agri-food, and geothermal energy is economically competitive when compared to other forms of energy.
This study explores the interplay between the UNESCO status and climate governance in World Heritage cities. With climate change posing significant threats to living urban landscapes, local governments and public actors strive to implement sustainable and resilient strategies. However, complications arise when cities attain the World Heritage status, complicating climate governance practices. Qualitative research, involving interviews with key stakeholders from the Climate and Monument Protection Departments in Lübeck, Regensburg, and Bamberg, reveals a negative impact of cultural heritage on climate governance. The study contends that, when harnessed effectively, cultural heritage can contribute to the sustainability and resilience of cities in addressing climate change. It emphasises the necessity for flexibility, collaboration, and a human-centric approach, advocating for a common understanding and prioritisation of human life within climate governance. In conclusion, this research underscores the importance of viewing heritage as a dynamic component integrated into cities' climate governance strategies.
This study describes the seasonal course of denitrifying and nitrate-reducing bacteria in a dimictic mesotrophic lake (Lake Scharmützelsee, Brandenburg, Germany) within a three-year period from 2011 to 2013. The bacterial cell numbers were quantified by the fluorescence microscopy, most probable number (MPN) and PCR-dependent quantification of the chromosomal 16S rDNA and of the nirS and nirK gene copy number. The highest seasonal differences (up to three orders of magnitudes) have been measured usingMPNin the epilimnion. This variation was not reflected by PCR-dependent approaches or direct microscopical enumeration. At adverse conditions (low temperature and/or low nitrate concentrations), the differences between MPN and gene copy numbers increased by up to five orders of magnitudes and decreased to one magnitude at favourable environmental conditions. These results can be explained best by an increasing ratio of viable but not cultivable (VBNC) cells or dead cells at impairing conditions. In the hypolimnion, the courses of MPN and nir gene copy numbers were similar. This can be explained by a higher feeding pressure and therefore smaller amounts of dormant cells. In the pelagial in general, the total cell numbers enumerated by either microscopical or molecular approaches were similar. In the sediment, more than 99% of the DNA was obviously not related to viable bacteria but was rather DNA in dead cells or adsorbed to particle surfaces.
Salvaging Buildings : reclaiming a livelihood from the excesses of Istanbul's mass urbanization
(2023)
Turkey’s demolition waste management is, to a great extent, dependent on çıkmacıs (reclaimers) who salvage condemned buildings for raw materials and architectural elements. Its urbanization history is full of key moments marked by building demolitions, which became a necessary material resource for informal urbanization. As early as the 1970s, the çıkmacıs helped the gecekondus [squatter houses] by supplying second-hand building materials and construction loans. They managed to turn a lack of infrastructure into an advantage and remain very adaptable to the ever-changing conditions of neo-liberalized urbanization. They depend on solidarity networks and other informal resources. Assemblage thinking helps to redefine the concept of informality, understand the relational dynamics between various actors, and focus on the agency of materials. The empirical data gained from ‘follow the thing’ ethnographic research in Turkey and Georgia reveals the double lives of çıkmacıs who move between village and city. Additionally, by following the example of a reclaimed window frame’s journey from Istanbul to Tbilisi, we can more clearly see the second-hand trade network in the context of urbanization and incremental architecture. In the context of waste’s materiality, the empirical part of the research shows the symbiotic relationship between çıkmacıs and the discarded demolition materials.
High-resolution imaging of buried metal interconnect structures in advanced microelectronic products with full-field X-ray microscopy is demonstrated in the hard X-ray regime, i.e., at photon energies > 10 keV. The combination of two multilayer optics—a side-by-side Montel (or nested Kirkpatrick–Baez) condenser optic and a high aspect-ratio multilayer Laue lens—results in an asymmetric optical path in the transmission X-ray microscope. This optics arrangement allows the imaging of 3D nanostructures in opaque objects at a photon energy of 24.2 keV (In-Kα X-ray line). Using a Siemens star test pattern with a minimal feature size of 150 nm, it was proven that features < 150 nm can be resolved. In-Kα radiation is generated from a Ga-In alloy target using a laboratory X-ray source that employs the liquid-metal-jet technology. Since the penetration depth of X-rays into the samples is significantly larger compared to 8 keV photons used in state-of-the-art laboratory X-ray microscopes (Cu-Kα radiation), 3D-nanopattered materials and structures can be imaged nondestructively in mm to cm thick samples. This means that destructive de-processing, thinning or cross-sectioning of the samples are not needed for the visualization of interconnect structures in microelectronic products manufactured using advanced packaging technologies. The application of laboratory transmission X-ray microscopy in the hard X-ray regime is demonstrated for Cu/Cu6Sn5/Cu microbump interconnects fabricated using solid–liquid interdiffusion (SLID) bonding.
Comparing hybrid urbanisms in the global south : water delivery configurations in Peru and Ghana
(2023)
Urban development processes in the Global South (and North) are often described as characterized by formal and informal practices of different actors and their respective material realities. In critical urban studies, the disposition for this binary conception of formal and informal urbanisms has been discussed for many years. To a certain extent, these sometimes align rather problematically with contrasting notions of the “structural” versus the “everyday.” In this article, we explore an understanding of formal and informal urban practices (and respectively “structure” and “everyday”) as always interrelated, and we develop a methodology for a comparative examination of such hybrid urbanisms. In doing so, we address a missing link in the surging theoretical debate on comparative/southern urbanisms, which has rarely been substantiated by methodological explorations. The adapted concept of “delivery configurations” combines analyses of actor networks, material realities, rules and regulations, discourses, and heterogenous arrays of urban practices of negotiating these. However, bringing together local particularities and structural commonalities and exploring their interrelation only provides a basis for understanding case‐specific complexities. We argue that embedding the analysis in a multi‐scalar comparative framework can further its analytical rather than descriptive attributes and provide deeper insights into issues such as social inequality. To illustrate our methodological contribution, we provide first insights from a comparative research
project of water delivery in different neighbourhoods in the secondary cities of Sunyani (Ghana) and Arequipa (Peru). We highlight the practical challenges of comparing diverse urban contexts and examining the rather complex relationships between infrastructure delivery, urban development, and social inequality.
Biomass and bioenergy perspectives of a coal region : status quo, potential and scenarios in Lusatia
(2023)
Coal has been one of the main fuels used in Europe. Its decreasing role due to the ongoing transformation of the energy system will create significant socio-economic challenges. The switch into renewable energy systems could be an alternative to maintain jobs and economic activities within the affected regions. Biomass use and bioenergy can play an important role in the energy transition. Instead of energy crops, forest and agricultural residues should be used as biogenic energy sources in the future to avoid impacts on land use and food security. The main objective of this article is to investigate the biomass potential of a coal region and to provide scenarios for the future development of bioenergy production. Due to the changing framework conditions and, as a result, the different biomass focuses, previous bioenergy potential estimates must be reviewed. The methods for determining the potential of biomass for energy production was used for Lusatia (in German: Lausitz), the second largest coal region in Germany. These methods can also be applied in other regions. As a first step, the regional status quo assessment of cultivated areas and yields had decisive relevance for calculating biomass potential ranges. In a second step, the current bioenergy facilities in the region were identified, with a focus on power and heat production. The third step was the estimation of future regional bioenergy use. Therefore, the regional potential was gathered with the generally supra-regional framework conditions. For this purpose, national scenario studies were used, which contain the relevant target values and framework conditions. Two scenarios were developed for future bioenergy estimations: a conservative path based on the current policies and a progressive path, derived from the goal of climate neutrality by 2045. The results show a qualitative comparison among both scenarios and the previously determined potential ranges. Bioenergy can probably contribute to achieving climate neutrality with an increase in wood-fired systems, while agricultural bioenergy potential is likely to decline. In the discussion section, however, the uncertainty of these results is pointed out, as future use of bioenergy will be heavily influenced by the regulatory framework, competition with material use and the influences of climate change.
The Iberian Peninsula comprises one of the largest boundaries between Mediterranean and Eurosiberian vegetation, known as sub-Mediterranean zone. This ecotone hosts many unique plant species and communities and constitutes the low-latitude (warm) margin of numerous central European species which co-occur with Mediterranean vegetation. Two of the main species found in this region are the Eurosiberian European beech (Fagus sylvatica L.) and the Mediterranean Pyrenean oak (Quercus pyrenaica Willd.). It remains unclear how the different physiological and adaptive strategies of these two species reflect their niche partitioning within a sub-Mediterranean community and to what extent phenotypic variation (intraspecific variability) is driving niche partitioning across Eurosiberian and Mediterranean species. We quantified functional niche partitioning, based on the n-dimensional hypervolume to nine traits related to resource acquisition strategies (leaf, stem and root) plus relative growth rate as an additional whole-plant trait, and the environmental niche similarity between Pyrenean oak and European beech. Further, we analyzed the degree of phenotypic variation of both target species and its relationship with relative growth rates (RGR) and environmental conditions. Plant recruitment was measured for both target species as a proxy for the average fitness. Species’ functional space was highly segregated (13.09% overlap), mainly due to differences in niche breadth (59.7%) rather than niche replacement (25.6%), and beech showed higher trait variability, i.e., had larger functional space. However, both species shared the environmental space, i.e., environmental niches were overlapped. Most plant traits were not related to abiotic variables or RGR, neither did RGR to plant traits. Both target species share similar environmental space, however, show notably different functional resource-use strategies, promoting a high complementarity that contributes to maintaining a high functionality in sub-Mediterranean ecosystems. Therefore, we propose that conservation efforts be oriented to preserve both species in these habitats to maximize ecosystem functionality and resilience.
Linking functional composition moments of the sub-mediterranean ecotone with environmental drivers
(2023)
Functional trait-based approaches are extensively applied to the study of mechanisms governing community assembly along environmental gradients. These approaches have been classically based on studying differences in mean values among species, but there is increasing recognition that alternative metrics of trait distributions should be considered to decipher the mechanisms determining community assembly and species coexistence. Under this framework, the main aim of this study is to unravel the effects of environmental conditions as drivers of plant community assembly in sub-Mediterranean ecotones.
We set 60 plots in six plant communities of a sub-Mediterranean forest in Central Spain, and measured key above- and belowground functional traits in 411 individuals belonging to 19 species, along with abiotic variables. We calculated community-weighted mean (CWM), skewness (CWS) and kurtosis (CWK) of three plant dimensions, and used maximum likelihood techniques to analyze how variation in these functional community traits was driven by abiotic factors. Additionally, we estimated the relative contribution of intraspecific trait variability and species turnover to variation in CWM. The first three axes of variation of the principal component analyses were related to three main plant ecological dimensions: Leaf Economics Spectrum, Root Economics Spectrum and plant hydraulic architecture, respectively. Type of community was the most important factor determining differences in the functional structure among communities, as compared to the role of abiotic variables. We found strong differences among communities in their CWMs in line with their biogeographic origin (Eurosiberian vs Mediterranean), while differences in CWS and CWK indicate different trends in the functional structure among communities and the coexistence of different functional strategies, respectively. Moreover, changes in functional composition were primarily due to intraspecific variability. We observed a high number of strategies in the forest with the different communities spreading along the acquisitive-conservative axis of resource-use, partly matching their Eurosiberian-Mediterranean nature, respectively. Intraspecific trait variability, rather than species turnover, stood as the most relevant factor when analyzing functional changes and assembly patterns among communities. Altogether, our data support the notion that ecotones are ecosystems where relatively minor environmental shifts may result in changes in plant and functional composition.
The material authenticity of cultural heritage has been questioned by societies in which the modern paradigm of conservation has not developed from within the native culture. This paper examines the philosophical and practical traditions in Iran regarding the materiality and authenticity of past structures. By reviewing the emergence of the Western conservation paradigm in Iran, this paper highlights two key factors: the rapidness of this paradigm shift and the remarkable contradiction between the new and old paradigms. By borrowing the Deleuzo-Guattarian concept of a ‘body without organs’ (BwO), this paper problematises the rapidness and radicality of the paradigm shift in Iran. It suggests exploring the under-investigated possibilities between the pre-modern and modern paradigms to address the gap between native circumstances and Western standards.
Urban heritage planning in Tehran and beyond : sequences of disrupted spatial-discursive assemblages
(2023)
Despite the impact of ideological rigidity, the primary challenge of heritage planning in Tehran and beyond lies not in the dominance of an inflexible Authorized Heritage Discourse, but rather in the absence of stable spatial-discursive and administrative structures. Solmaz Yadollahi maps the historical trajectory of conservation and urban heritage planning in Iran, depicting a discursive-spatial assemblage that tends to knock down its accumulated resources. This is in line with Katouzian's portrayal of Iran as a pick-axe society. Residing within this society, the studied assemblage strives to deconstruct the prevailing structures and usher in a fresh one, paradoxically perpetuating the very cycle it seeks to escape.
Morphological and optical properties of a multilayer film (CAZO/CZAO/ZACO) prepared by spin-coating method and deposited on a glass substrate were evaluated. The study was initially carried out for each layer, individually and then as a multilayer subsequently. Structural properties using X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), infrared spectra (IR) and X-ray photoelectron Spectroscopy (XPS) showed the presence of three phases of zinc, copper and silver oxides at different levels. The CZAO sample observed with scanning electron microscope (SEM) showed an excellent porous surface with a large deformation in the multilayer configuration. Doping with zinc and copper in the silver crystal lattice improved the crystal structure and reduced the optical energy gap, thus increasing the optical absorbance and refractive index. The dielectric constants and showed an increase in the optical polarization values for lower photonic energies. The maximum degradation rate for photocatalysts of methylene blue was 89 % for a 5-h exposure period with CAZO/CZAO/ZACO while it reached 71 % for the CZAO sample during the same time period. The sensitivity of samples to light proved that the presence of ultraviolet radiation increases the number of holes trapped by oxygen ions and causes more free electrons and contribute to a better production of photocurrent than in darkness.
A contribution to the online monitoring of partial discharges in high-voltage grid components
(2024)
Increasing utilization of HV power cable lines, and particularly the advent of long HVDC underground links, results in the need to sensitively monitor their condition, such as by tracking the emergence and development of partial discharges. This study demonstrates that existing solutions are poorly suited to the case of HVDC lines, and that a new, more sophisticated monitoring system needs to address a wide array of diverse problems. First of all, the overview of the task and main functional blocks of the monitoring system is given. Following this, selected blocks are subject to detailed examination in subsequent chapters.
The first of these blocks, a high-frequency current transformer (HFCT), is responsible for capturing the signal in the power line and transferring it to the electronics. This component receives in-depth coverage: general design considerations, computation of leakage inductance, operation in presence of a power current, resonant behavior, balanced design. Particular attention is given to the application of Finite Element Analysis (FEA) in relation to the HFCT, however, the demonstrated techniques can also be applied to other magnetic devices. Last section of the chapter presents various stages of development, experimental setups, prototypes, and the final device which has been put into series production.
The next block addresses extraction of signals from noise. A literature analysis is conducted concerning noise suppression in partial discharge recordings, and the application of the signal separation approach based on Linear Predictive Coding is shown.
In the section on localization, examples illustrating problems encountered during the development of a partial discharge localization algorithm are presented.
In the chapter devoted to laboratory tests, various auxiliary experiments conducted during the system's development are compiled, where some of them are: Time Domain Reflectometry (TDR) TDR-based line characterization, estimation of monitoring sensitivity, measurement of the cable attenuation and reflection coefficients of the accessories.
In the final chapter – field tests – the installation of the system on a 110 kV line and the measured transfer function are demonstrated.
Plenty of semiconductor devices are developed to operate with private data. To guarantee data privacy cryptographic algorithms are used, where the secrecy is based on the used keys. Theoretically, the cryptographic algorithms using keys with recommended lengths are secure. The issue is that a potential attacker can steal the devices and attack in a lab. Physical attacks are usually aimed to perturb normal operation of a device and to extract cryptographic keys, e.g. by means of fault injection (FI). One class of FI attacks exploits the sensitivity of semiconductor devices to light and are performed using a laser as the light source.
This work investigates the sensitivity of different logic and memory cells to optical Fault Injection attacks. Front-side attacks against cells manufactured in different IHP technologies were performed using two different red lasers controlled by Riscure software. To reach the repeatability of the experimental results and to increase the comparability of the results with attack results published in literature the setup parameters as well as setting parameters of the Riscure software were experimentally evaluated. Attacks were performed against inverter, NAND, NOR, flip-flop cells from standard libraries, radiation-hard flip-flops based on Junction Isolated Common Gate technique, radiation-tolerant Triple Modular Redundancy registers as well as non-volatile Resistive Random Access Memory (RRAM) cells. The results of attacks against volatile circuits were successful transient bit-set and bit-reset as well permanent stuck-at faults. The results of attacks against RRAM cells were successful in the sense that manipulation of all RRAM logic states was feasible. The faults injected during the performed experiments were repeatable and reproducible.
The goal of this work was not only to achieve successful FI but also to determine cell area(s) sensitive to laser illumination. Knowledge about areas sensitive to laser illumination can be used by designers to implement corresponding countermeasure(s) at the initial stage of chip development and is the necessary step to design appropriate countermeasures. For example, metal fillers can be applied as optical obstacles reducing the success of front-side FI attacks, i.e. as a possible low-cost countermeasure. Based on the knowledge of the sensitive cell areas, the placement of the metal fillers can be automated in the future, i.e. the findings given in the work can serve as a basis for a methodology development for improving resistance against optical FI attacks at the initial stage of chip development. Such methodology can be adapted for each chip manufacturing technology.
The 'cultural appropriation' of traditional textiles from Mexico : an analysis of 3 case studies
(2023)
This doctoral thesis intended to examine the phenomenon of ‘cultural appropriation’ of traditional textiles from Mexico through an analysis of 3 case studies. This research had the objective of understanding the phenomenon through the relationships, perspectives, and discourses of the social actors involved, by following the development of controversies involving different objects of material culture from different communities: the xaam nïxuy Ayuujk (Mixe) blouse from Santa Maria Tlahuitoltepec, Oaxaca; the Hñuhú and Hñahñ (Otomi) “Tenango” embroideries from the communities of Tenago de Doria and San Nicolas in Hidalgo; and the mestizo gabanes from Santa Clara del Cobre and Nahuatzen in the State of Michoacán.
This doctoral examination was sustained through theoretical approximations that located the occurrences within transnational/ transcultural processes, engaging with qualitative methodologies and multi-sited ethnographies in order to obtain data that elucidated on the diversity of objects, actors, relationships, understandings, perceptions, values, and discourses involved in the ‘cultural appropriation’ of traditional textiles controversies in the country.
The content analysis of this doctoral research dissected a number of different processes, effects, and consequences of the phenomenon as it developed in dissimilar locations and periods of time. The examination revealed a complex intersection of meanings, productions, circulations, and consumptions of culture, that simultaneously affected cultural meanings, relationships, and processes, raising concerns over the management of traditional textiles as objects of cultural heritage, and the unviability of protecting communal creative domains through national legal mechanisms.
The development of computer technologies allows using numerical simulations in the early stages of aircraft design more and more often. The role of both wind tunnels and initial test flights used to validate of solutions seems to be diminishing. Big systems for three-dimensional simulations of Fluid-Structure Interactions (FSI) constitute highly specialized and costly software. Most of the codes are based on many simplifications. One of them is the assumption of linearity of the structural model being in contradiction with real-life situations. The postdoctoral dissertation presents the results of simulations for complex, multi-scale objects and non-linear structure models and extended structure testing in relation to damage in macroscale analysis. What is crucial for carrying out the assumed analyses is to extend a numerical tool comprising a flow and a structural program and a space grid deformation model for a system allowing to take into consideration the non-linearity of the structure. The point of reference for testing the suggested approaches are the existing solutions of the aeroelastic linear problems. Results of the recent research might be applied for the construction of increasingly common unmanned aerial vehicle (UAV). Modern structure is a key element that affects the basic parameters as mass or range of these vehicles. Until now the research and development of the aeroelastic calculation algorithm for commonly used materials in the framework of linear geometry and linear-elastic material behavior was used. The current developments of materials for light-weight design common use of 3D printing technology causes the increasingly widespread use of new alternative materials in the aviation industry. This is particularly true for the design and construction of UAV, where the basic requirements are the lightness of the structure and the maximum range. Unfortunately, the fulfillment of the above criteria means that the materials used are often loaded not only in a elastic range but also more often above this limit. In case of analyzing aeroelastic phenomena for a loaded structure we should take a closer look at the behavior of the material outside the elastic range in which the damage occurs. The process of destroying in the face of such dangerous phenomena as flutter in aircraft constructions requires a deeper analysis of the mechanics of materials, in particular for new materials and their manufacturing techniques. As part of joint experiments and numerical simulations, detailed research was carried out to describe the behavior of printed materials, which will be increasingly used in the design of aircraft structures. Extending the postdoctoral dissertation with the research carried out at BTU will allow further development of the existing FSI algorithm, taking into account the structural behavior more accurately and the possibility of predicting damage processes.
The contribution of community involvement in heritage management : a cultural mapping project
(2023)
Heritage has been lately the matter of debate regarding its definition, conservation and management approaches. In the last few years, there has been an increasing demand for the involvement of the local community in heritage management. Too often, the involvement perspectives of key stakeholders in general and the community members, in particular, are entirely different. While the theoretical ground of community involvement is somehow well set, heritage management has been slow in applying the involvement approach. Practically, it is not easy to find the balance to achieve all the goals of key stakeholders in any involvement project. Subsequently, there are a few numbers of empirical works on the practical implications of understanding heritage management effective tools and limited indication to convince recent ‘power-holders’ such as governmental organizations to distribute their power with local community members.
This doctoral research project explores community involvement in heritage management as an effective solution to building a strong management system. The study aims to examine the level and the quality of involvement in the management of heritage sites in general through a cultural mapping-based approach. This is applied to a case study which is the Religious Complex in Historic Cairo World Heritage Site. The research outcomes indicate the importance of involving the local community in heritage management and planning processes. Ultimately, the study provides critical empirical evidence and draws valuable theoretical and practical assumptions that spread knowledge of cultural mapping in critical issues, such as the drivers of involvement and cooperative decision-making.
Brain-computer interfacing (BCI) is a relatively new field of study that involves engineering, neuroscience, psychology, and physiology. A BCI is a system that allows direct communication between the brain and the environment, using signals from electroencephalography (EEG) to identify a user's intentions and mental states. This can be used for human-machine interaction (HMI) to adapt software or control a device. Particularly passive BCIs are the most promising for the general population, as they can detect and interpret a user's mental state without requiring their attention. This can enable neuroadaptive technology (NAT), which allows a machine to learn over time how the user perceives and interprets the world. However, there are still obstacles to be overcome before BCI technology can be applied in real-world situations for NAT.
In this work I firstly address the issue of subject dependence in training data collection for classifier calibration, which can be time-consuming and impractical. I investigated the training of a subject-independent predictive model that is trained on a group of other users' data and applied to online-testing data of a new person. This was done in the context of training an automatic classifier for error detection and correction. Results showed that a classifier model can be trained without user-specific calibration and with high accuracy. The number of electrodes used in training the model was also reduced. Further it was validated that the trained classifier models were based on cortical sources and not other modalities.
In a second study I address the issue of task-dependence. To that end I tested the application of a potentially task-independent calibration paradigm for mental workload assessment in a new task. This new task was a speed reading context, where subjects read texts of varying difficulty and speed. The study found that the mental workload prediction model was accurate in classifying mental workload in different reading tasks, indicating that it can be used as a task-independent classifier for mental workload.
In a third study I examine if it is possible to measure neural correlates of human moral assessment using a passive BCI on a single-trial basis. A calibration paradigm was developed using pictures that were ranked as morally unacceptable and morally neutral. However, the results showed low classification accuracies and it was not possible to reliably distinguish between a user's subjective moral evaluations on a single-trial basis using current classification approaches.
The results presented in this thesis provide solutions towards real-world applicability of NAT enabled by passive BCIs, as examples of a subject-independent and a task-independent classifier are demonstrated and discussed. Further, approaches for increased versatility of passive BCI technology are presented, that could make passive BCIs more feasible for use in future real-world human-machine interaction settings.
Cities are major contributors to climate change and biodiversity loss, and at the same time particularly affected by some of their consequences. Urban green can help address these challenges and provide numerous other benefits to people. Economic valuation can estimate the value that people assign to these diverse urban ecosystem services. The environmental economics literature uses several valuation methods. This work examines the valuation of urban ecosystem services with choice experiments. It includes five articles that use empirical analysis to address three overarching research goals: First, to improve understanding of the value of urban ecosystem services to urban residents. Second, to contribute to improving the validity of choice experiments. Third, to develop modeling of spatial patterns in the value of urban ecosystem services.
Chapter 1 describes the background and motivation of the valuation of urban ecosystem services with choice experiments, gives an overview over the relevant literature, and sets out the research objectives and methods of this dissertation.
Chapter 2 presents a choice experiment on green spaces, street trees and green roofs in Bremen. It analyzes the effect of additional information that these measures are part of a climate adaptation strategy. The results show greater willingness to pay among informed respondents. Part of the effect can be explained by a higher credibility of the survey.
Chapter 3 describes a choice experiment on urban gardens in Berlin and Stuttgart. It explores how respondents process the information provided in the questionnaire. It finds that questions about the information do not significantly affect either recall or the responses in the choice experiment.
Chapter 4 is based on choice experiments on street trees, green spaces, and greenways in four German cities. It examines how choice experiment surveys should elicit perceived consequentiality. The results show advantages of elicitation before the choice experiment over the usual elicitation afterwards.
Chapter 5 explores how valid policy makers perceive the results of choice experiments on urban green in several German cities, and what consequences this has for their use of the results. Interviews show that most policy makers use the results in their city to raise awareness or justify positions. Perceptions of validity are mixed, but do not play a major role in this type of use.
Chapter 6 examines the spatial distribution of the value of urban ecosystem services using choice experiments on green spaces, urban trees, green roofs, and green facades in Berlin and Leipzig. It develops and tests new choice models that may better represent than the common approach how the value of urban green space decreases with distance.
Based on the findings of the articles, Chapter 7 derives recommendations for practitioners of choice experiments and for urban green policy makers. Finally, it identifies research gaps that would be promising for future studies.
There are many names we use to call them, like the (original) Wireless Sensor Networks, Wireless Sensor and Actuator Networks, Internet of Things, Cyber-Physical Systems, Cyber-Physical Systems of Systems, and some others. More or less visible, wireless sensor networks are already applied in many aspects of our lives and for different purposes. During the 20 years of Fachgespräch Sensornetze (FGSN) we were able to observe the process of the birth and evolution of wireless sensor networks. What do they look like now, from that time perspective? Is there still room for research andimprovements? Or are they maybe already that mature that everything has already been said? And what do they look like from the industry point of view? What is the future of sensor networks? Where are they heading? These retrospective and perspective views are the central topic of the 20th edition of the Fachgespräch Sensornetze (FGSN 2023) held on the 4th of September 2023 at Hasso-Plattner-Institut as part of the NetSys 2023 conference in Potsdam. We were happy to meet again, to discuss these subjects within the scientific community. The aim of this series of Fachgespräch is to give scientists from academia and industry the opportunity for an informal exchange of ideas and to strengthen cooperation in this multidisciplinary research area.
This thesis is dedicated to the structured sheet metals topic. Structured sheet metals are semi-finished products with the honeycomb (cell) shape, made by cold forming of the flat sheets. They represent an innovative technology in the field of lightweight construction. In recent years, this technology has undergone dynamic development what gives to researchers possibilities to improve the level of knowledge about structured sheets metals properties and explore new application fields for them.
The structuring improves basic properties, such as stiffness, compared to the flat sheet material. Due to these advantages, the use of structured sheet metals offers enormous innovation potential for efficient lightweight construction in many industrial sectors such as aerospace, rail transport technology, architectural products. Structured sheets have already been implementing in lighting technology, in the manufacture of household appliances and even in automotive industry. So that, the question arises if it possible to apply this kind of material successfully in other areas such as building industry.
This work contains an overview of the lightweight constructions historical development and stiffening elements in the steel industry, also the creation process of structured sheet metals, manufacturing investigated specimens, further bending tests, numerical simulations, analysis and comparison of resulting data and possible further use of lightweight beams with structured sheet elements as a building construction.
In this work beams compound of structured and flat plates are investigated. Steps of structured plates manufacturing process are described: hydroforming, point- and laser welding and bending. As a result, lightweight beams of two main shapes are manufactured: C- and square sectioned. There are four types of beams for each of the shapes are investigated. Every type has same geometrical dimensions, but thicknesses vary.
The series of laboratory tests with created beams under load is made. Three- and four-points bending tests are chosen for that.
This work also presents numerical analysis based on conducted experiments: buckling and global non-linear behavior of specimens by use of the software package ABAQUS/CAE are obtained. The behavior of the beams with structured and flat sheets under load is analyzed and the comparison of parameters such as load bearing capacity and stiffnesses is made.
Finally, in addition to laboratory and simulations, parametric modelling is done. Also, based on parametric calculations, the proposal for calculation the beams stiffness for with higher thicknesses is given. It allows to predict the behavior of beams with structured sheets with different thicknesses without manufacturing and conducting the expensive and time-taking laboratory experiments.
In conclusion, the recommendations for the simplifying of manufacturing process and for the improving of the beams stiffnesses are given.
With the increasing consciousness of the value of wetland ecological and environmental functions and its fast rate of decline in the size of this important and rich ecosystem globally, the Niger Delta ecosystem has been reported to be undergoing tremendous change, hence the need for this research, to identify the challenges and proffer solutions. This study focuses on ascertaining if a change has occurred in the Upper Orashi Forest Reserved wetland, to know and evaluate the policies used in managing the wetland in the region and Nigeria. To ascertain the wetland change, land cover change detection was carried out using Geographic Information Systems and Remote Sensing to produce paradigm or data to detect change occurrence in the wetland area. Supervised classification of land use and land cover change was carried out using LANDSAT data from 2002, 2008, and 2019. Thereafter, the land cover transition was mapped for the period 2002 to 2019 and this was computed for the net land cover change for the period of study. The site was classified into three different classes and each class was analyzed using the land use and land cover change model formula. The result from this part shows that there is a consistent decrease in the wetland area for the period under review and in the other two identified classes, some interchangeable compositions were observed for the period of study. To validate this result, the opinion of experts and the host community is needed. Two sets of questionnaires were designed for experts and local community dwellers to sample their opinion in relation to the wetland and its management. The information collected was analyzed using Microsoft excel and the result shows that changes have occurred in the wetland of Upper Orashi Forest (decrease in size and other challenging issues with respect to policies and regulations). This study has identified critical challenging issues facing wetlands in the region or driving factors of wetland loss in the study area. Thereafter making recommendations that will help address these issues to actualize environmental sustainability and sustainable wetland in the region and Nigeria at large.
This thesis summarizes the author’s developments of combustion models and multi-objective optimization methods for gasoline and diesel engines. The combustion models belong to the family of zero-dimensional stochastic reactor models introduced in the 1990s to improve the prediction of emissions with detailed chemistry in partially stirred reactors.
The first part introduces the fundamentals of the physical and chemical models describing the combustion process. As a novelty, k−ε turbulence models were implemented in the stochastic reactor model to predict the turbulent time and length scales in gasoline and diesel engines. This development allowed an improvement of the models for convective heat transfer, fuel evaporation, gas exchange across the valves, turbulent flame propagation and crevice flow, which depend on the turbulent time and length scales.
In the second part, the multi-objective optimization platform for automatic training of the stochastic reactor model is presented. The optimization method considers multiple operating points to find a set of model parameters that predict performance and emissions over the entire engine map. The Non-domination Sorting Genetic Algorithm II is combined with the stochastic reactor model and response surface models to find the best Pareto front. Multi-criteria decision making is used to select the best designs from the Pareto front.
Finally, the third part of this thesis deals with the validation of the stochastic reactor model and the multi-objective optimization platform. For this purpose, experiments of two single-cylinder research engines with spark ignition, one passenger car engine with compression ignition and one heavy duty engine with compression ignition are used. For the spark ignition engines, a set of model parameters was found that predicts well the power and emissions over the whole engine map. The calculated turbulent kinetic energy, dissipation, and angular momentum follow the trends of the three-dimensional computational fluid dynamic simulations to a good approximation for various operating points. For the two compression ignition engines, the prediction of combustion progress and nitrogen oxide emissions are in good agreement with the experiments. Larger discrepancies were found for the prediction of carbon monoxide and unburned hydrocarbon. Optimization of the soot model parameters improves the prediction of soot mass for operating points throughout the engine map.
Programmable Logic Controllers (PLCs) are pivotal in Critical Infrastructures (CIs) and Industrial Control Systems (ICSs), governing processes in nuclear power plants, petrochemical factories, and water treatment systems. Despite their importance, PLCs are vulnerable to security threats, notably control logic injection attacks, aiming to sabotage physical processes. This thesis delves into PLC security, analyzing vulnerabilities in non-cryptographically and cryptographically protected PLCs, particularly Siemens S7-300 and S7-1500 models.
Siemens, an automation market leader, utilizes S7-300 PLCs in millions of applications, reflecting the broader ICS security landscape. The S7-1500 line claims resistance to cyberattacks, including control logic injections. The thesis evaluates authentication in non-cryptographically protected PLCs, introducing a stealthy control logic injection attack scenario using an S7-300 PLC and S7Comm protocol.
The second part explores integrity checks in cryptographically protected S7-1500 PLCs. Findings, encompassing disclosed vulnerabilities, lead to a severe control logic injection attack with a malicious interrupt block, conducted in an industrial setting using the S7-1500 and S7CommPlus protocol.
The final segment focuses on Profinet protocol security and an injection attack scenario. The study demonstrates adversaries manipulating critical data without prior knowledge, causing harm to physical processes. A real-world attack on a Profinet-based system with two S7-300 PLCs is executed.
The thesis concludes by proposing mitigation solutions, enhancing PLC and communication protocol security. This contribution elevates the security posture of millions of operating devices globally, advancing PLC security research.
Energy efficiency is vital for future low-power electronic applications. This ultra-low power consumption requirement enables the research beyond the conventional charge-based memories. Further, reliability, high scalability, fast switching, CMOS compatibility, high endurance, etc., are some of the characteristics envisaged by the new generation of emerging non-volatile memories (NVMs). A memristor or OxRAM is one among the many emerging NVMs, which can exhibit the aforementioned characteristics, and it has the potential to replace the power-hungry conventional NVMs.
The memristive devices have the advantage of monolithic integration with the CMOS logic, which enables the widening of their application areas. Despite their various advantages, the reliability, forming voltages, and variability of the devices pose a hurdle to their wide commercial usage. Hence, it is crucial to identify these factors and mitigate them. This thesis addresses these issues through fabrication process improvements, electrical characterization techniques, and device-engineering methods.
The improvements in the fabrication processes reduced the pristine state currents of the memristive devices. It impacted the reliability and resistive switching performance of the memristive devices directly. To further improve the performance, the memristive devices are integrated into the 130 nm BiCMOS baseline technology of IHP. Additionally, dedicated test structures are developed to monitor and control the fabrication process steps through in-line electrical characterization.
Further, the forming current and voltage values, along with their dispersions in the 4 kbit memristive arrays, were reduced by utilizing the electrical characterization techniques. Accordingly, the forming operations were performed at high operating temperatures using incremental step pulse and verify algorithm (ISPVA). In contrast to the well-known method of increasing the current compliance (1R) or the gate voltage of the transistor (1T-1R) to increase the conduction filament size, a thin layer of Al2O3 is added. This device engineering technique reduced the variability in both LRS and HRS currents of the memristive devices. Additionally, the conduction filament properties in both states are modeled by using the quantum point contact (QPC) model. Finally, harnessing the intrinsic variability of the memristive devices for neuromorphic computing applications is demonstrated. The reliability of the devices is assessed through endurance and retention characteristics.
Numerical investigation and extension of quadrature-based moment methods for population balances
(2023)
Particulate systems can be described by a number density function (NDF) with respect to a vector of internal coordinates. The evolution of the NDF is governed by the typically high-dimensional population balance equation (PBE). A common approach to reduce the dimensionality of the problem is to solve only for a set of moments instead of the NDF. The derived system of moment equations, however, includes unclosed integral terms that still contain the unknown NDF. One way to close the system of moment equations is to approximate the unclosed integral terms using a Gaussian quadrature computed from the moments. The procedure of taking a set of moments to compute a Gaussian quadrature, which is, in turn, used to close the moment equations, is known as the quadrature method of moments (QMOM). It gave rise to an entire family of methods, the quadrature-based moment methods (QBMMs), which are the primary focus of this work. The presented research can be divided into three major parts. The first part involves the formulation of a common Lagrangian droplet breakup model for QBMMs and the numerical investigation with the QMOM as well as the more sophisticated extended QMOM (EQMOM). The results indicate that the approximations are reasonably accurate when at least six moment equations are solved, with the EQMOM providing no advantages for the investigated configurations. In the second part, a quadrature-based moment model for the effects of fluid turbulence on particle velocities is formulated. The resulting moment equations contain non-smooth integrands that are the source of large errors when using common QBMMs. As an alternative, the Gauss/anti-Gauss QMOM (GaG-QMOM) is proposed that uses the average of a Gaussian and an anti-Gaussian quadrature. Numerical studies show that the GaG-QMOM is able to significantly reduce the previously observed large errors. Another novelty proposed in this context is the modification of the second-order strong-stability preserving Runge-Kutta method to guarantee the preservation of moment realizability in the presence of phase-space diffusion. The third part is concerned with the numerical exploration of the core algorithm of most QBMMs in terms of performance and accuracy. The algorithm consists of, first, computing the recurrence coefficients of the orthogonal polynomials associated with a set of moments, second, solving a symmetric tridiagonal eigenvalue problem to obtain the quadrature nodes and weights, and third, evaluating the integral terms in the moment equations. The results indicate that the contribution of the first step to compute the recurrence coefficients from moments to the overall computational costs is negligible. Instead, the primary focus should be on the fast solution of the eigenvalue problem and, possibly, on the efficient implementation of the moment source term evaluation, which becomes important when second-order processes are considered.
The current global warming caused by the enormous negative effects of climate change rings alarm bells to humanity. It requires a colossal cooperation of scientific researchers and practitioners in all professions to invent innovating solutions to reduce the impact of global warming. In fact, the use of kinetic facades in architecture helps to save up to 50% of energy used in office space and to reduce 20% of CO2 emissions of entire building. Thus, how effective can the use of kinetic facades be in different climate regions? This research employs Grasshopper to design kinetic facades based on Minimal surfaces. DIVA 4.1 and LadyBug software based on the EnergyPlus are used to generate output data of energy use for cooling system of kinetic facade and 06 conventional facades in Berlin, Ho Chi Minh and Las Vegas in two SRES scenarios (A1FI and B1) of the IPCC in 2020, 2050 and 2080. The output data shows that the performance of the kinetic facade is approximately 40% higher than the facade with high-performance double glazing. Meaning, there is great potential to apply kinetic facades in various places on Earth in the current context of severe climate change.
Increased human activity, such as deforestation, is a major driver of biodiversity loss worldwide. In Cameroon, these activities could ultimately threaten the survival of the Nigeria-Cameroon chimpanzee, but knowledge of their abundance and ecology in the Kom - Wum Forest Reserve in Cameroon is still lacking. This research aimed to estimate the population size of this chimpanzee subspecies and assess threats, investigate nesting behaviour, identify suitable habitats, determine feeding habits and document the tools used for food acquisition. Research was conducted using line transects during two seasons: wet (May-September 2018) and dry (November 2019-March 2020). Population size and threats were assessed by georeferencing signs of chimpanzees and human activity along line transects. Nesting behaviour was investigated by recording the characteristics of nesting trees along line transects and mapping their distribution in ArcGIS. Suitable habitat was identified by relating chimpanzee presence signs to local environmental variables related to relief, vegetation and human impact using the Maximum Entropy Species Distribution Model (MaxEnt). Feeding habits were investigated by direct examination of chimpanzee faeces, and tool use was documented by observation and measurement of tools in situ. The reserve is home to up to 83 chimpanzees. Signs of chimpanzee activity were significantly higher in mature forest than in secondary forest, and above 1000 m than below 1000 m. Hunting was the main threat to chimpanzees, and the occurrence of chimpanzee signs decreased significantly with increasing human activity. Chimpanzees preferred tall, mature forest trees at higher elevations with slopes for nesting, and avoided areas near villages and bare land. Only 8% of the study area was suitable chimpanzee habitat. Fruit dominated the chimpanzees' diet, but they also consumed leaves and fruit pith, especially during the dry season. There was also indirect evidence that chimpanzees used tools to consume driver ants (genus Dorylus). Seasonality significantly affected the size of tools used by chimpanzees for driver ant predation. They preferred to use thicker and shorter tools for driver ant predation during the rainy season, whereas longer and thinner tools were used during the dry season. The results of this research highlight the need to reduce poaching and deforestation to protect the remaining chimpanzee population and suitable habitat in the reserve and surrounding unprotected forest. High-elevation and mature forests are critical for chimpanzee conservation and should be a high priority for protection. This research has filled the knowledge gap on what little was known about the abundance and ecology of Nigeria-Cameroon chimpanzees.
Physics-informed neural networks (PINN) are machine-learning methods that have been proved to be very successful and effective for solving governing equations of fluid flow. In this work we develop a robust and efficient model within this framework and apply it to a series of two-dimensional three-component (2D3C) stereo particle-image velocimetry datasets, to reconstruct the mean velocity field and correct measurements errors in the data. Within this framework, the PINNsbased model solves the Reynolds-averaged-Navier-Stokes (RANS) equations for zeropressure-gradient turbulent boundary layer (ZPGTBL) without a prior assumption and only taking the data at the PIV domain boundaries. The TBL data has different flow conditions upstream of the measurement location due to the effect of an applied flow control via uniform blowing. The developed PINN model is very robust, adaptable and independent of the upstream flow conditions due to different rates of wall-normal blowing while predicting the mean velocity quantities simultaneously. Hence, this approach enables improving the mean-flow quantities by reducing errors in the PIV data. For comparison, a similar analysis has been applied to numerical data obtained from a spatially-developing ZPGTBL and an adverse-pressure-gradient (APG) TBL over a NACA4412 airfoil geometry. The PINNs-predicted results have less than 1% error in the streamwise velocity and are in excellent agreement with the reference data. This shows that PINNs has potential applicability to shear-driven turbulent flows with different flow histories, which includes experiments and numerical simulations for predicting high-fidelity data.
The central theme of this thesis revolves around the impacts of historic charcoal burning on todays soils and soil landscapes in Connecticut, USA. The first chapter gives an overview of the state-of-research regarding the spatial distribution, morphology and chemical- as well as physical soil composition of so called relict charcoal hearth (RCH) landforms. RCHs can be described as unique soil microhabitats in the context of flora and fauna growth. The central research aim of the thesis is led by the question: How and to what extend does the historical charcoal industry control the distribution, development and properties of present day soils in Connecticut, USA? This thesis presents results from two field-campaigns in 2017 and 2018 where 52 RCH sites were surveyed and sampled in Litchfield County, Connecticut. The resulting dataset comprises of more than 1245 soil samples from 154 soil profiles and detailed stratigraphic and morphometrical information for all RCH sites. RCH landforms result in three distinct soils: charcoal rich horizons (Auh horizons), mineral soil horizons dividing multiple Auh horizons horizontally (Cu horizons) and buried former topsoil’s (Ahb horizons) or buried mineral soil horizons (Bwb horizons). Sites on flat terrain (< 4° slope) have mostly one Auh horizon, while sites on steeper terrain (> 4° slope) have mostly two, sometimes up to three Auh horizons. The total volume of sites on slopes is positively correlated to the local slope, i.e. it increases with larger steepness of the terrain. Compared to reference soils, RCH soils are enriched in total soil organic carbon and especially in pyrogenic carbon. Vertical gradients of organic carbon concentrations in Auh and Cu horizons suggest an enrichment of non-pyrogenic organic matter in the topsoil and a vertical translocation of highly aromatic carbon compounds into intermediate and buried soil horizons. Furthermore, Auh horizons have a lower bulk density, a higher crystallinity ratio (Fed/Fet) of pedogenic iron oxides and are enriched in exchangeable elements (Ca2+, Mg2+, Mn2+) as well as oxalate extractable manganese-oxides compared to reference soils. A deep-learning based automated mapping workflow called ARCHMAGE (Automated Relict Charcoal Hearth Mapping and Geospatial Exploration) was created to gain a continuous, state wide database of RCH sites locations and other relevant geospatial information. This database, in combination with calculation of site specifics RCH volumes and soil carbon stocks, showed that in regions with high RCH site densities, significant additions to local soil organic and especially pyrogenic carbon stocks are present. This effect is scale dependent, with a larger effect size on county scale and below (≤ 1:650,000).
Additive technologies are now widely used for the production of complex precise parts and have high potential for the production of forming dies. In this work, hot-forming dies optimized for additive manufacturing were developed and produced with wire arc direct energy deposition (WA-DED) and laser powder bed fusion (L-PBF) technologies. The concept of lightweight hot-forming dies with a 2D-lattice structure was developed, which reduced the weight of each die by 56%, from 14.2 kg to 6.1 kg, in production using L-PBF. Maraging/precipitation-hardened steel 17-4PH was used as an alternative to traditional hot-working steels with slightly lower mechanical properties and a much higher processability in the additive manufacturing process. The workability of the manufactured dies was confirmed by forging tests on an industrial screw press.
The very soft and flow-permeable plumage is among the special adaptations of the owl that the silent flight is attributed to. Using a specially designed apparatus that provides a low-speed volume flow of air through a small sample of porous materials, measurements of the air flow permeability were performed in accordance to ISO 9053 on a total of 39 prepared wing specimen from six different bird species, including three species of silently flying owls and three non-silently flying bird species. The resulting data set described in the present paper contains the static airflow resistance measured at different positions on the wing.
A classic approach for solving differential equations with neural networks builds upon neural forms, which employ the differential equation with a discretisation of the solution domain. Making use of neural forms for time-dependent differential equations, one can apply the recently developed method of domain segmentation. That is, the domain may be split into several subdomains, on which the optimisation problem is solved. In classic adaptive numerical methods, the mesh as well as the domain may be refined or decomposed, in order to improve the accuracy. Also, the degree of approximation accuracy may be adapted. Therefore, it is desirable to transfer such important and successful strategies to the field of neural-network-based solutions. In the presented work, we propose a novel adaptive neural approach to meet this aim for solving time-dependent problems. To this end, each subdomain is reduced in size until the optimisation is resolved up to a predefined training accuracy. In addition, while the neural networks employed are by default small, we propose a means to adjust also the number of neurons in an adaptive way. We introduce conditions to automatically confirm the solution reliability and optimise computational parameters whenever it is necessary. Results are provided for several initial-value problems that illustrate important computational properties of the method.
The Accra Metropolis of Ghana has experienced rapid urban expansion over the past decades. Agricultural and forest-lands have been transformed into urban/built-up areas. This study analysed urban expansion and its relationship with the temperature of Accra from 1986 to 2022. Multi-source datasets such as remote sensing (RS) and other ancillary data were utilised. Land use land cover (LULC) maps were produced employing the random forests classifier. Land surface temperature (LST) and selected d(RS) Indices were extracted. Regression techniques assessed the interplay between LST and remote sensing indices. The LULC maps revealed increasing trends in the urban/built-up areas at the expense of the other LULC types. The analysis from the LST and the RS indices revealed a direct relationship between temperature and urban/built-up areas and an inverse relationship between temperature and vegetation. Thus, spatial urban expansion has modified the urban temperature of Accra. The integrated utilisation of RS and GIS demonstrated to be an efficient approach for analysing and monitoring urban expansion and its relationship with temperature.
The permanent magnet synchronous motor (PMSM) can be a suitable candidate for electrified propulsion in aviation. Despite the very high efficiency, heat dissipation during operation leads to performance limitations. Elevated temperatures in the electrical insulations and the magnets pose a potential safety risk that must be reduced by selective cooling. A comprehensive review is conducted to capture current research interests in cooling methods in PMSM. Cooling methods are described according to their heat transfer mechanism, grouped, and assigned to the components within the motor. Key findings of the literature reviewed are described in the context of PMSM cooling. Information on cooling media and potential combinations of cooling methods in components is gathered. Assessment parameters such as safety, weight, effectiveness, integrability, complexity and cost are defined to enable a subsequent qualitative analysis for six selected cooling methods. A point-weighted evaluation approach, according to VDI 2225, was applied to identify the most promising cooling approach for successful implementation in aviation.
The present study deals with the phenomenological observation of the corrosion of the positive electrode foil of lithium-ion batteries containing LiNi0.6Co0.2Mn0.2O2 (NMC) as cathode material. Due to the presence of moisture, localized water accumulation is formed on the NMC surface. The water absorbed by the electrolyte reacts with the NMC under Li+/H+ exchange and the resulting pH increase leads to dissolution of the carrier foil and characteristic salt-like blooms on the NMC surface. With the increase in the relative area occupied by the holes in the aluminum foil per time, a sufficiently suitable parameter was found with which to quantitatively determine the extent of corrosion. The degree of degradation depends on time and ambient humidity. It was shown that functional recycling with the water jet method is no longer applicable for degraded foils, since the mechanical stability of the foils decreases as corrosion progresses. Lithium, aluminum, sulfur and oxygen were detected in the blooms using SEM–EDX and Laser-Induced-Breakdown-Spectroscopy (LIBS). The underlying NMC layer was found to contain mainly aluminum and significantly lower lithium content than the non-degraded material. SEM and Raman microscopy analyses also showed that the active material is also locally degraded and therefore no longer suitable for functional recycling.
Possible synergy between FLEGT-VPA & REDD+ towards improving forest governance framework in Cameroon
(2023)
Illegal logging is seen as a serious impediment to achieving sustainable management of forests in the tropics. In addition, deforestation contributes in increasing carbon dioxide emissions in the atmosphere, resulting to biodiversity loss and climate change. Illegal logging and deforestation have affected Cameroon’s forest ecosystem negatively since the mid-1980s as a result of the economic crises, which intensified the exploitation of forest resources for multiple purposes. In response, some policy initiatives came up such as FLEGT-VPA and REDD+ to fight against the threats. It is due to the above background that this study was designed to examine the possible synergy between FLEGT-VPA and REDD+ towards improving the forest governance framework in Cameroon. The first part of the study assesses FLEGT-VPA in Cameroon with the application of interviews of key informants who were involved in the negotiation process of the EU-Cameroon Voluntary Partnership Agreement. The second part of the study assesses the management of Bimbia Bonadikombo Community Forest (BBCF), as one of the REDD+ pilot project sites around Mount Cameroon in the South West Region of Cameroon. The use of surveys, content analysis, and observations seeks to assess these two initiatives in their role in improving forest governance in Cameroon. The first part of the research reveals that since Cameroon ratified the FLEGT-VPA in 2011, there has been progressed concerning stakeholder participation in forest-related issues. Again, the study also reveals challenges faced with the setting up of a system to verify timber from legal origin as recommended by the European Union. The research further reveals a lack of commitment by the government in revising the current forest policies and re-organizing the domestic market for timber trade as part of the commitment made by the government during the ratification of the FLEGT-VPA. The second part of the study finds that the management of BBCF is not governed by the provision of the Cameroon community forestry manual or by its bylaws posing doubts if community forestry can halt emissions of greenhouse gases caused by deforestation, thus helping REDD+ achieve its objectives. The study recommends the need for rapid policy reform and a cross-sectoral transformation to enable FLEGT-VPA and REDD+ to synergize for a better policy outcome on issues concerning forestry and climate change.
The next generation of civil turbofan engines targets the by-pass ratios of up to 20:1, requiring an innovative fan design with a low fan pressure ratio, low specific thrust and a radically increased fan diameter. The aerodynamic stability of such a large slow rotating fan is very sensitive against the back-pressure variations in the by-pass duct, especially during the take-off operations. The back-pressure regulation can be achieved significantly through a Variable Area Fan Nozzle (VAFN). This work deals with the design development of VAFN concepts for ultra-high by-pass ratio engines which was researched in EU funded program ENOVAL and received funding under grant agreement number 604999.
A system engineering approach was implemented for the VAFN development by following the requirements in conceptual, preliminary and detailed design phases. The design domains in the rear nacelle and under the core fairing were selected for the concept generation. Several qualitative and quantitative trade studies were conducted to down-select the best-fit solution during each design phase. These included the kinematic simulations of various types of VAFN modulations; analytical calculations to understand the thermodynamics of the selected VAFN kinematics; aerodynamic performance predictions using CFD simulations on a large number of preliminary designs; 3D CFD simulations for detailed performance assessments including the design optimization of individual features and distortions due to failed modulations; and FEM calculations for the topology generation and optimization of structural components. The overall weighted effect was determined for each output parameter and the results were presented in percentile changes relative to that with a fixed nozzle reference geometry.
Two VAFN concepts were selected for the final detailed design phase, Flaps in rear nacelle domain and Variable Inner Fairing Structure (VIFS). Both concepts showed better outputs in terms of specific fuel consumption, noise emission and fan’s safety margin during the take-off, with an over-area exhaust position than those with a fixed nozzle operation. During the climb phase, with an under-area VAFN position, both concepts resulted in drawbacks due to higher aerodynamic losses relative to the fixed nozzle. During MCR, both the VAFN concepts with stowed positions caused losses mainly due to leakages and higher structural weights relative to the fixed nozzle configuration. For each VAFN concept, a detailed system definition was developed and the function trees for each operation were explained. A discrete modulation type with two positions was described and recommended for both concepts. This included an over-area deployed position for the take-off phase and a stowed position for the rest of the flight, based on the beneficial performance of the VAFN concepts over the fixed clean nozzle configuration.
The creation of adequate simulation models for complex assemblies is an extensive process that requires a lot of experience, and on the other hand involves a multitude of manual, tedious tasks. These are significant obstacles for improving the process performance and capabilities. The objective of this research is to develop methods which digitally imitate the way of thoughts of the engineer in the design process towards a digital system understanding and which support the automation of the involved manual workflow.
This thesis presents a strategy to translate engineering reasoning and actions to an equivalent in the computer domain. A cardinal step is to gain understanding of system arrangements, boundary conditions and its components. Based on this evaluation, the identification of assembly parts is forming the foundation for optimized process chains for the transfer to the analysis environment. Model complexity relates to computational effort, which in turn affects model capabilities and manageability. To achieve a satisfactory compromise of model quality and complexity, this transfer process is strongly dependent on the visual analysis, reasoning and manual implementation of skilled engineers.
The principle of translating engineering logics is pursued from the assembly system to its smallest parts. Component segmentation methods allow subdividing regions of interest into substructures which are assigned with a feature vector. This vector comprises metrics describing the substructures with regard to specific aspects and is the key decision point for subsequent steps as idealization, suitable Finite-Element modeling and ultimately building an analysis model. The created system database is continuously maintained and supports these process chains as well as the final setup of the assembly simulation model.
An automated workflow like this implies advantages for efficiency, but also creates opportunities for further use cases. This workflow has been exploited for generating a training data set from the different simulation variants as a basis to a knowledge representation imitating engineering experience. An algorithm from the graph neural network field is applied to this data set as a conceptual approach. The intention pursued in this concept is to model the learning progress about estimating the influence of modelling decisions on simulation results and quality.
This research proposes a holistic strategy and describes methods to achieve the objectives of decreasing manual effort, introducing an automated and geometry-based process and digitally replicating engineering experience by introducing a knowledge database.
Assessing authenticity in heritage conservation : case study : architectural conservation in Bahrain
(2023)
The thesis complements the authenticity discourse in heritage conservation with the perspective of laypeople and evaluates the pertinent methodology for the application of the normative concept in architectural heritage conservation. Based on the Nara Document on Authenticity, the Operational Guidelines for the Implementation of the World Heritage Convention anchor the concept in the credibility and truthfulness of internal and external factors – referred to as information sources – that communicate a heritage site’s cultural values. Conversely, the author explored the truthfulness of messages conveyed to site users in a qualitative research based on interviews focused on two urban reference sites in Bahrain. These stand for different eras and conservation approaches: the ensemble of colonial-style governmental buildings at Bab al-Bahrain in Manama and the vernacular Siyadi Shops in the market area Suq al-Qaisariya in Muharraq, which were restored in the course of a World Heritage nomination. The interpretive content analysis compares how architects and non-architects, who represent laypeople in architectural conservation, perceived their authenticity and also traces cultural contingencies. The empirical data confirms pronounced differences in the way architects and non-architects perceive authenticity but only a few between representatives of so-called Western and Eastern cultures. Assessed against international heritage conservation standards, the site in Muharraq proved more authentic than the one in Manama. However, the meanings produced in the interaction between the sites and the interviewees proved be of limited truthfulness in both cases. A key finding is hence that a constructivist authenticity concept can serve no normative function when heritage conservation is considered a discipline at the service of historiography. While all potential factors of authenticity as per the Nara Document proved to be relevant, perceived material authenticity was found to be an outstanding reason why the site in Muharraq was appreciated more. Its rehabilitation was found to successfully reconcile essentialist and constructivist authenticity understandings by paying tribute both to the documentary value of the historic site and to the experiential needs of its users. The findings support the ICOMOS Venice Charter’s material-focused approach while confirming the relevance of a broadened authenticity understanding and highlighting the importance of integrated, participatory approaches to heritage conservation. By illustrating the importance of expertise when assessing the authenticity of architectural heritage, the findings at the same time flag limits to democratizing architectural conservation practice. The author recommends developing practice-oriented guidance for the assessment of authenticity of heritage sites based on further research and to add interpretation facilities to the list of factors of authenticity.
This thesis deals with strategies for achieving high data throughput in wireless sensor networks that use a time division multiple access (TDMA) scheme to resolve medium access. The thesis uses a multi-sided approach that deals not only with the scheduling algorithm but also with the network layer and the interference model. The thesis proposes four solutions that significantly improve data throughput, fairness, and latency in the considered scenario.
The thesis starts with an overview of state-of-the-art medium access control (MAC) protocols, emphasizing TDMA. Based on this overview, it is concluded that not much space for improvement is left in the field of schedule calculation algorithms; many such algorithms are proposed up to date, and they can achieve schedule lengths close to the theoretical minimum. However, the research also reveals a lack of in-detail evaluation and comparison of these algorithms; this makes choosing the most suitable algorithm for a particular application hard and performance estimation inaccurate. Therefore, an extensive evaluation of state-of-the-art TDMA protocols using simulations and over 200 randomly generated networks was performed to tackle this issue. The results allow choosing an appropriate algorithm and estimating performance for each specific application.
Next, the problem of multiple packet transmissions during a single time slot is analyzed. State-of-the-art TDMA protocols assume that one packet can be transmitted in each slot and optimize the number of slots each node gets under this assumption. However, when nodes can transmit more than one packet, the performance of such a schedule is impaired. To solve this, the M-TreeMAC protocol is proposed; this protocol considers the actual number of packets transmitted in a time slot and optimizes the schedule accordingly. Furthermore, it is observed that the routing topology heavily impacts the schedule length created using this algorithm; an algorithm that optimizes the topology to result in the shortest schedule when M-TreeMAC is used is proposed, increasing benefits even further.
Finally, the accuracy of the 2-hop interference model, commonly used by state-of-the-art TDMA scheduling algorithms, is studied and simulated using a realistic radio model based on measurement results. The results show high packet loss ratios for packets traveling a large number of hops to reach the sink. The adaptive interference model is proposed to improve the 2-hop interference model. The proposed model can increase throughput significantly in networks with a height of ten or more hops.
Background: Food sustainability is becoming increasingly important for the achievement of sustainable development goals, especially in light of recent global challenges of climate change, geopolitical conflict and the increasing vulnerability of food systems. The world is emphasising the importance of holistic approaches to agriculture and food systems to tackle these challenges. Germany’s Sustainable Development Strategy for 2030 associates SDGs 2, 3 12 and 15 with sustainable agriculture and food systems as crucial elements to achieve these goals. However, with the lack of knowledge in this area, and the scarcity of tools to monitor and assess food sustainability, it has become crucial to investigate potential holistic approaches and frameworks to assess the sustainability of food systems.
Purpose: This study uses the national framework of Sustainable Development Goals (SDGs), as the only available valid holistic framework, to explore the sustainability of the bread system in Germany. It operationalises the SDGs to bakery level to identify significant indicators that could, potentially, be used to assess the sustainability of artisan bakeries, and identify to which SDGs the bakeries contribute.
Methods: This study utilises a mixed-methods research design to address the multi-disciplinary nature of the food sustainability concept. It critically evaluates the SDG framework and identifies a set of indicators, which are expanded with further indicators to address the cultural dimension of bread as a cultural heritage. To collect data, a 26-item questionnaire was issued to 586 artisan bakeries with a response rate of 8.8% (n = 52); the 52 bakeries own 562 branches. This was followed by interviews with an acceptance rate of 19% (n = 10). Descriptive and inferential statistics were used to analyse the quantitative data, while the interviews were transcribed from German to English and coded using NVivo 11.
Results: Sustainable bread is redefined from a holistic perspective encompassing theory, policies and artisan bakeries. The results confirm that bakeries positively contribute to bread sustainability in Germany, as well as towards achieving the national SDGs. Progress areas include energy efficiency, sustainable packaging, local procurement, heritage promotion, waste reduction and ecolabels. Interestingly, individual bakeries appear to be slightly more sustainable than chains due to their flexibility in adapting to new practices and their use of organic products; however, chain bakeries are slightly less sustainable, but are proven to be more efficient in terms of productivity and market reach.
People in a social network are connected, and their homogeneity is reflected by the similarity of their attributes. For effective clustering, the similarities among people within a cluster must be much higher than the similarities between different clusters. Traditional clustering algorithms like hierarchical (agglomerative) or k-medoids take distances between objects as input and find clusters of objects. The distance functions used should comply with the triangle inequality (TI) property, but sometimes this property may be violated, thus negatively impacting the quality of the generated clusters.
However, in social networks, meaningful clusters can be found even though TI violates. One possibility is a quantum-logic-based clique-guided non-TI clustering approach. The commuting quantum query language (CQQL) is the base for this approach. The CQQL allows the formulation of queries that incorporate both Boolean and similarity conditions. It calculates the similarity value between two objects.
Furthermore, attributes may not have equal impact on similarity and affect the resulting clusters. CQQL incorporates weights to express the varying importance of sub-conditions in a query while preserving consistency with Boolean algebra. This enables personalization of results through relevance feedback (RF).
The main challenge of comparing clusterings is that there is no ground truth data. In such situations, human-generated gold standard clustering can be used. The question is how to compare the performance of clusterings. A noteworthy technique involves counting the pairs of objects that are grouped identically in both clusterings. By doing so, a clustering distance is calculated that measures the dissimilarity.
To validate the non-TI clustering approach, experiments are conducted on social networks of different sizes. Three central questions are addressed by the experiments mentioned: first, is it possible to find meaningful clusters even though TI violates; second, how does a user interact with the system to provide feedback based on their needs; and third, how fast do the detected clusters based on the proposed approach converge to the ideal solution?
To sum up, the experiments’ objective is to demonstrate the validity of a theoretical approach. The research findings presented here provide sufficient evidence for detecting meaningful clusters based on user interaction. Furthermore, the experiments clearly demonstrate that the non-TI clustering approach can be used as an RF technique in clustering.
The present research aims to analyze the possibilities of introducing the living “Intangible Cultural Heritage” as Supplement of Knowledge into the formal educational system particularly the Early Childhood Education in the Far North Region of Cameroon - irrespective of the 2003 Convention for the Safeguarding of the Intangible Cultural Heritage and the 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions. This Region is purposively selected for its stronghold of multifarious and diverse ethno-cultural (id)entities and citadel of the country’s enshrined traditions. The rural area of Kolara is conveniently chosen to explore how to blend the receding ethno-cultural heritage with the formal education system in accordance with the aim of education in Cameroon and therefore could be an example of how to train citizens firmly rooted in their cultures but also opened to the world. It presupposes that the current formal primary educational system is not constructive for primary school starters. On the basis of a combination of participatory research and systematic data collection methods, three educational heritages could be outlined: the ethno-cultural traditional educations specific to the two major ethno-cultures Tupuri and Fulbé and the Islamic Arabic educational heritage peculiar to Muslims, predominantly Fulbé. In this context, it could be determined to what extend the formal education is ethno-cultural specific, environment related and learner centered.