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Reducing the heat demand of existing buildings is an essential prerequisite for achieving a greenhouse gas-neutral energy supply. Numerous studies and open-source tools deal with heat demand mapping. It is not uncommon that estimated heat demands deviate from real heat consumption, so existing approaches should be improved by including in-depth building information. Some tools have recognised this problem and offer built-in functions for factoring various parameters into their assessments. Nevertheless, the necessary information is usually missing and should be obtained first. In this paper, we analyse the impact of thermal refurbishment and climate on building heat demand; hence, generate public datasets with corresponding key figures for each building type in different efficiency states and years. Accounting for already performed refurbishments in methodologies for assessing the actual state heat demand for cities will result in a reduction of at least 8% up to more than 21%, depending on whether conventional or passive house components were installed. As a result of climatic differences within Germany, a building's heat demand can be up to 39% higher or up to 21% lower than the heat demand of an identical building in the reference climate of Germany. By further developing the approaches of the tools Hotmaps and Heat Cadastre Hamburg, we could improve the estimated heat demand of Hamburg to a value approximating the real consumption. [ABSTRACT FROM AUTHOR]

In this paper, we present a comprehensive assessment of the effects of residential loads, electric vehicles (EVs), and electric heat pumps (HPs) on low-voltage (LV) grids in urban, suburban, and rural areas of Germany. Firstly, real data are used to determine the typical structures for each LV grid region. Secondly, nine scenarios are defined with different levels of EV and HP penetration. Thirdly, the Low Voltage Load Flow Calculation in the DIgSILENT PowerFactory is performed for all scenarios while taking the simultaneity factor (SF) for each load type into consideration to calculate the minimum voltage and maximum loadings of transformer and lines in each grid; this allows for the grid's potential bottlenecks to be identified. The network simulations are carried out with the consideration of charging powers of 11 kW and 22 kW in order to evaluate how an increasing EV load in the future may affect the grid's parameters. To the best of our knowledge, no study in the literature has simultaneously addressed all of the aforementioned topics. The results of this study provide a useful framework that distribution system operators (DSOs) may apply to anticipate the forthcoming challenges and figure out when grid reinforcement will be required. [ABSTRACT FROM AUTHOR]

Wastewater from plastic manufacturing or processing industries is often highly polluted with microplastics (MPs) and high levels of oxidizable organic matter, which results in a high chemical oxygen demand (COD). When industrial wastewater enters wastewater streams, the high microplastic load is a high burden for municipal wastewater treatment plants (WWTPs), as they are not sufficiently removed. To prevent MP from entering the WWTPs, an upstream prevention method is essential. This paper presents a pilot-scale plant study for the removal of MP and COD from industrial wastewater that was tested on-site at a plastic manufacturer in Germany. Eight test phases were performed over 3 months, with each test phase processing 1 m3 wastewater and four treatments. Per test phase, 12 samples were analyzed for 5 parameters: COD, total suspended solids (TSSs), particle count, pH, and turbidity. The results showed an average decrease in MP by 98.26 ± 2.15% measured by TSSs and 97.92 ± 2.31% measured by particle count. This prevents the emission of 1.1 kg MP/m3 water and an estimated 2.7 t MP/year. The COD was reduced efficiently by 94.3 ± 8.9%. Besides MP and COD, this treatment allows reuse of water and agglomerates, resulting in a reduction in the CO2 footprint. [ABSTRACT FROM AUTHOR]

Wastewater treatment companies are particularly confronted by the energy and supply crisis resulting from the war in the Ukraine. More specifically, production and supply problems with precipitant production have shown that today's wastewater treatment technology in Germany is not crisis-proofed and must become more resilient. The aim of this paper was to determine a required precipitant quantity for Germany with regard to chemical phosphorus elimination, as well as the expected shortfalls due to the shortage situation. Furthermore, possible solutions were identified for how the precipitant can be saved or substituted. Study surveys were conducted to gather data for a meaningful response regarding the operators (wastewater treatment plants, industry, and water suppliers), manufacturers, and the German federal states. A recommendation is given on what a path to more resilient wastewater management with a focus on phosphorus elimination could look like. Based on the data obtained, the report focused on wastewater engineering issues for wastewater treatment plants and industry. The results of the study are relevant for decision-makers, researchers, and operators in the wastewater sector in order to intervene in the market themselves if necessary, e.g., money for production or conversion to biological phosphorus elimination. [ABSTRACT FROM AUTHOR]

The successful introduction of battery electric trucks heavily depends on public charging infrastructure. But even as the first trucks capable of long-haul transportation are being built, no coherent fast-charging networks are yet available. This paper presents a methodology for assessing fast charging networks for electric trucks in Germany from the literature. It aims to establish a quantitative understanding of the networks' performance and robustness to deviations from idealized system parameters and identify crucial charging sites from a transportation planning perspective. Additionally, the study explores the quantification of adaptation effects displayed by agents in response to charging site outages. To achieve these objectives, a comprehensive methodology incorporating infrastructure, vehicle and operational strategy modeling, simulation, and subsequent evaluation is presented. Factors such as charging station locations, C-rates, mandatory rest periods, and vehicle parameters are taken into account, along with the distribution of traffic according to publicly available data. The study aims to offer a comprehensive understanding of charging networks' performance and resilience. This will be applied in a case study on two proposed networks and newly created derivatives. The proposed network offers over 99% coverage for long-haul transport but leads to a time loss of approximately 7% under reference conditions. This study advances the understanding of the performance and resilience of proposed charging networks, providing a solid foundation for the design and implementation of robust and efficient charging infrastructure for electric trucks. [ABSTRACT FROM AUTHOR]

German health insurance companies increasingly strive to position themselves as health partners to their customers to improve customers' health and contain costs. However, there is uncertainty about customers' preferences for health services offered by health insurance companies. Therefore, this paper studies consumer preferences for health services that are or could be provided by health insurance companies in Germany. An online survey was conducted using two stated preference techniques to collect and analyze the data (namely, rating and ranking of health services considered by insurance companies). A sample of 880 German health insurance customers between 18 and 65 years old filled out the online questionnaire, of which 860 submitted complete responses. Ordinal logistic regression analysis was used for the rating and ranking. Preliminary examinations, care management, and health programs were the three health services most important to the respondents. The results suggest that people want their health insurance to support them with preventive health services that offer direct therapeutic value and not just informational, economic, access-related, or convenience-related benefits. These preferences for health services are homogeneous for most subgroups of the population, implying that health insurance companies could consider an overall strategy to address these preferences for all clients by focusing on the important health services. [ABSTRACT FROM AUTHOR]

In this paper, we address the relatively underexplored topic of the bond behavior between various carbon rebars and high-strength concrete. This research aims to bridge the knowledge gap in understanding how different manufacturing processes and surface profiles of carbon fiber rods influence their bond strength with concrete. Through experimental bond tests comparing different carbon fiber rebars with varied surface profiles and manufacturing methods, we observed that the achievable bond stresses are significantly influenced by these factors. One carbon rebar variant was selected based on preliminary investigations for detailed analysis. Extensive investigations were conducted on the preferred carbon rebar. Factors such as concrete strength, bond length, and testing speed were experimentally explored. The results not only corroborate many findings from traditional reinforced concrete construction but also reveal new phenomena unique to carbon rebars. These insights are crucial for advancing the application of carbon rebars in modern construction, offering a potential solution to challenges faced in conventional concrete construction. [ABSTRACT FROM AUTHOR]

The global interest in hydrogen as an energy carrier is steadily increasing. In this study, multiple scenarios of liquid hydrogen exports from Africa to Germany are analyzed by life cycle assessment (LCA) to quantify the global warming potential (GWP) of 1 kg hydrogen. The investigation is driven by the promise that hydrogen can be sustainably and economically produced by photovoltaic (PV)-powered electrolysis in Africa, benefiting from the geographical location near the equator and, consequently, higher solar irradiation levels. Given the absence of a pipeline network, shipping hydrogen emerges as the most efficient short-term transportation option to Germany. In this paper, supply locations—Morocco, Senegal, and Nigeria—are evaluated by means of an LCA and compared to hydrogen supply from Germany. Results show that emissions from hydrogen production and transportation by ship from Morocco range from 3.32 to 3.41 kgCO2-eq/kgH2. From Senegal, the range is 3.88 to 3.99 kgCO2eq/kgH2, and from Nigeria, it falls between 4.38 and 4.27 kgCO2-eq/kgH2. These emission levels are influenced by factors such as the GWP of PV electricity, the efficiency of the electrolyzer, and the transportation distance. Interestingly, the analysis reveals that PV-powered electrolysis of hydrogen in Germany, including 300 km distribution, causes, in most scenarios, a lower GWP in the range of 3.48 to 3.61 kgCO2-eq/kgH2 than hydrogen from the analyzed African regions. Opting for grid electricity instead of PV (with a value of 0.420 kgCO2-eq/kWh) for hydrogen production in Germany yields a GWP ranging from 24.35 to 25.42 kgCO2-eq/kgH2. Hence, we can conclude that in any event, PV-powered hydrogen electrolysis has a low environmental impact not only within Africa but also in Germany. However, it is crucial to carefully consider the balance of the GWP of production versus transportation given the distance between a hydrogen production site and the location of consumption. [ABSTRACT FROM AUTHOR]

Backfill materials of various origin and composition, abandoned machinery, oils, PCB, gallery support material and cables are the main wastes occurring in underground coal mines during the period of their abandonment. Bearing in mind that under increasing societal pressure most if not all underground coal mines are going to close sooner rather than later, it is important to understand the interactions of these waste materials with rising mine water during mine water level rebound to prevent adverse environmental effects, especially on surface and groundwater. To this end, the composition of mine water at decant points as well as the hydrogeochemical, temporal and spatial dynamics of mine water during rebound requires quantification. In the first part of this paper, an overview of waste materials in underground coal mines is presented. The second part focusses on the experiences gained in the Ruhr area, a closed underground coal mining region in western Germany, where mine water rebound has been ongoing for decades. In this regard, the mine water modeling program Boxmodell was applied during regulatory approval procedures to predict the hydrodynamics and hydrogeochemical development of the water rebound. The results of these investigations allow deep insights into the interactions of rising mine water with wastes as well as the complex chemical evolution of mine water and potentially occurring contaminants (e.g., PCB). The experiences regarding wastes in underground coal mines and the geochemical evolution of rising mine water gained in the Ruhr area can be utilized to support the planning of mine closure in currently still active underground coal mining areas worldwide. [ABSTRACT FROM AUTHOR]

In this paper, we propose dynamic, short-term, financial risk management strategies for small electricity producers and buyers that trade in the wholesale electricity markets. Since electricity is mostly nonstorable, financial risk coming from extremely volatile electricity prices cannot be reduced by using standard finance-based approaches. Instead, a short-term operational planing and a proper trade diversification might be used. In this paper, we analyze the price risk in terms of the Markowitz mean–variance portfolio theory. Hence, it is crucial to forecast properly the variance of electricity prices. To this end, we jointly model day-ahead and intraday or balancing prices from Germany and Poland using ARX-GARCH type models. We show that using heteroscedastic volatility significantly improves probabilistic price forecasts according to the pinball score, especially if variance stabilizing transformation is applied prior to a model estimation. The price forecasts are then used for construction of dynamic diversification strategies that are based on volatility-type risk measures. We consider different objectives as well as a buyer's and a seller's perspective. The proposed strategies are applied for the diversification of trade among different markets in Germany and Poland. We show that the objective of the strategy can be achieved using the proposed approach, but the risk minimization is usually related to lower profits. We find that risk minimization is especially important for a seller in both markets, while for a buyer a profit maximization objective leads to a more optimal risk–return trade-off. [ABSTRACT FROM AUTHOR]

Wind energy is an effective solution for achieving the carbon-neutrality target and mitigating climate change. The expansion of onshore wind energy evokes extensive attention to environmental impact in the locality. The landscape visual impact has become the critical reason for the local protest. This paper proposed a landscape visual impact evaluation (LVIE) model that combines the theoretical framework and practical solutions and optimizes the onshore wind farm planning procedures. Based on the theoretical research on landscape connotation, the evaluation principles, criteria, and a quantitative indicator set is constructed for LVIE model with three dimensions: landscape sensitivity, the visual impact of WTs, and viewer exposure. The practicality of this evaluation model is conducted through multi-criteria GIS analysis by the case study of Friedrich-Wilhelm Raiffeisen Wind Farm in Germany. The evaluation results illustrate detailed, visualized outcomes of landscape visual impact that are deeply combined with planning procedures. The innovation of this paper is to refine the form of evaluation results, optimize the procedures of wind farm planning, and enable cooperation between different planning departments and stakeholders with definite, visible, user-friendly evaluation results. This research provides precise comparison opportunities for different projects or the same project at different periods to obtain quantitative conclusions and feedback information. This paper enhances the accurate processing of multiple information and standardization process in wind energy visual impact evaluation. [ABSTRACT FROM AUTHOR]

Background: There is increasing interest in the role of EEG in neurorehabilitation. We primarily aimed to identify the knowledge base through highly influential studies. Our secondary aims were to imprint the relevant thematic hotspots, research trends, and social networks within the scientific community. Methods: We performed an electronic search in Scopus, looking for studies reporting on rehabilitation in patients with neurological disabilities. We used the most influential papers to outline the knowledge base and carried out a word co-occurrence analysis to identify the research hotspots. We also used depicted collaboration networks between universities, authors, and countries after analyzing the cocitations. The results were presented in summary tables, plots, and maps. Finally, a content review based on the top-20 most cited articles completed our study. Results: Our current bibliometric study was based on 874 records from 420 sources. There was vivid research interest in EEG use for neurorehabilitation, with an annual growth rate as high as 14.3%. The most influential paper was the study titled "Brain-computer interfaces, a review" by L.F. Nicolas-Alfonso and J. Gomez-Gill, with 997 citations, followed by "Brain-computer interfaces in neurological rehabilitation" by J. Daly and J.R. Wolpaw (708 citations). The US, Italy, and Germany were among the most productive countries. The research hotspots shifted with time from the use of functional magnetic imaging to EEG-based brain–machine interface, motor imagery, and deep learning. Conclusions: EEG constitutes the most significant input in brain–computer interfaces (BCIs) and can be successfully used in the neurorehabilitation of patients with stroke symptoms, amyotrophic lateral sclerosis, and traumatic brain and spinal injuries. EEG-based BCI facilitates the training, communication, and control of wheelchair and exoskeletons. However, research is limited to specific scientific groups from developed countries. Evidence is expected to change with the broader availability of BCI and improvement in EEG-filtering algorithms. [ABSTRACT FROM AUTHOR]

The expansion of renewable energy infrastructure comes with increasing conflicts at local level that significantly impede the expansion of renewable energy in Germany and impact the realization of national and international climate goals. In some conflicts, rural communities are torn apart and social relations strained beyond the energy conflict. Other projects are realized with no or only minor disruption. To researchers, project developers and local politicians alike, it seems unpredictable as to which way local energy conflicts evolve. Thus, the paper aims to shed light on conflict dynamics and identifies a number of aspects that influence local energy conflicts. The paper applies a conflict theoretical perspective on local energy conflicts. Rather than identifying energy conflicts as a sign of dysfunctionality, conflicts are seen as an important element of a democratic society struggling to find the best way through the transformation towards decarbonization. Based on qualitative research on local energy conflicts in five German municipalities the paper analyzes aspects that encourage constructive conflicts and aspects that impede such developments. With reference to Dahrendorf's conditions of conflict the categories of energy conflicts are systematized within an analytical framework according to conditions of organization, conflict and change. These categories and aspects are embedded in specific local conditions, making conflicts on the one hand typical and on the other very specific. They are also entry points for dealing constructively with the conflicts. [ABSTRACT FROM AUTHOR]

In the first half of 2020, the coronavirus pandemic led to a drastic slump in the automotive industry, which was replaced by a surprisingly rapid growth in demand in the fall of 2020, and consequently led to the current shortages in microelectronic products. The prospect of an equally rapid economic recovery in the automotive industry is still threatened by supply bottlenecks for raw materials and key components, foremost for semiconductors. The so-called 'semiconductor crises' show exemplarily the overlapping of short-term supply chain disruptions with long-term structural features of the semiconductor industry. The combination of both is preventing that the supply situation in the automotive industry will improve quickly. First in this paper, the reasons for and respective effects of the crisis on the automotive industry are investigated by a quantitative market analysis. Second, specific strategic measures and options of automotive Original Equipment Manufacturers (OEM) and suppliers in Germany to cope with the situation and increase resilience in future supply chains are described by the means of qualitative expert interviews. By that, the paper helps in understanding the actual situation in the automotive industry, on the one hand, and contributes to the field of strategic supply chain and risk management with a focus on practical implications on the other hand. The results aim to support political stakeholders as well as small and medium sized enterprises to prepare themselves for future developments in the automotive market and changes in manufacturer–supplier relationships due to the transformation to new powertrain technologies and digitization. [ABSTRACT FROM AUTHOR]

Achieving national targets on renewable energy poses several challenges, especially in multi-level governance environments. Incentives and specifications on wind energy development might cause uneven progress or even discrepancies. Therefore, governments have commenced adopting 'positive planning' to combine energy targets with spatial and land-use planning. Yet detailed discussions regarding wind energy development remain scarce. In this paper, I explore three explanatory case studies in Germany and Sweden, aiming to provide policymakers and planners with essential knowledge while presenting significant challenges and key lessons learned. Positive planning appears to center on a strong energy target focus, limited space, and a balanced approach, shaped by the sociopolitical context. While Germany has recently embraced positive planning, Sweden started ambitiously but is encountering planning and policy challenges. Planning agencies play a vital role in promoting wind energy targets at mid-scale levels, yet legally binding targets matter. Striking a balance between energy targets and addressing land-use concerns without disregarding them requires managing a delicate trade-off. Early communication and inter-agency collaboration, as seen in Sweden, might facilitate identifying compromises, navigating trade-offs between species protection and renewable energy and offering municipal incentives. Nonetheless, negotiating satisfactory spatial trade-offs for a long-term proof of concept remains a challenge. [ABSTRACT FROM AUTHOR]

Vehicle detection using data fusion techniques from overhead platforms (RGB/MSI imagery and LiDAR point clouds) with vector and shape data can be a powerful tool in a variety of fields, including, but not limited to, national security, disaster relief efforts, and traffic monitoring. Knowing the location and number of vehicles in a given area can provide insight into the surrounding activities and patterns of life, as well as support decision-making processes. While researchers have developed many approaches to tackling this problem, few have exploited the multi-data approach with a classical technique. In this paper, a primarily LiDAR-based method supported by RGB/MSI imagery and road network shapefiles has been developed to detect stationary vehicles. The addition of imagery and road networks, when available, offers an improved classification of points from LiDAR data and helps to reduce false positives. Furthermore, detected vehicles can be assigned various 3D, relational, and spectral attributes, as well as height profiles. This method was evaluated on the Houston, TX dataset provided by the IEEE 2018 GRSS Data Fusion Contest, which includes 1476 ground truth vehicles from LiDAR data. On this dataset, the algorithm achieved a 92% precision and 92% recall. It was also evaluated on the Vaihingen, Germany dataset provided by ISPRS, as well as data simulated using an image generation model called DIRSIG. Some known limitations of the algorithm include false positives caused by low vegetation and the inability to detect vehicles (1) in extremely close proximity with high precision and (2) from low-density point clouds. [ABSTRACT FROM AUTHOR]

Political elite studies so far have often dealt with career paths before entering a particular political position, focusing mostly on individual states of a career. However, they have consistently neglected what comes after a political office and the temporal–sequential character of biographies. This paper addresses these two issues. Using sequence analysis techniques, it examines the post-cabinet careers of ministers from the German states in the period 1945–2014 using a newly created, original dataset containing 1400 trajectories and over 12,000 coded person years. The descriptive analysis shows partly significant differences in post-cabinet careers by gender, state, decade, and last ministerial portfolio, but less so by party membership. Three of the five clusters found represent comparatively homogeneous post-cabinet career structures. Whereas in the early years of the republic most politicians did not have a subsequent (long) professional career after leaving office, switching to the private business sector and, above all, remaining in politics at the state level, represent the two most prominent career paths. A springboard career in federal politics, on the other hand, is rare, but certainly possible. From a methodological point of view, this study shows the potential, but also the problems of sequence analysis for research on political elites and offers ideas on how to continue with this approach. [ABSTRACT FROM AUTHOR]

The digitalization of everyday school life has gained increasing importance for teachers in recent years. In Germany, this is especially true since the publication of the strategy on "Education in the Digital World" by the Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in 2016, which calls for the acquisition of digital competencies by students. In this regard, it is of great importance that future teachers acquire important skills in the field of digitalization during their teacher training in order to effectively and pedagogically use digital media in instruction. In this paper, we present the concept of an intervention on the topic of "Simulation and Modeling" from the competency framework DiKoLAN, which provides possible guidance in relation to the question "which competencies in the field of digitalization should be taught during teacher training?" One focus of the presented concept is the technology of "Augmented Reality," which has already been described as an effective teaching and learning tool. Furthermore, evaluation results of the seminar are presented, which examine both the effectiveness in terms of conveying the desired competencies through the measurement of self-efficacy expectations, and the attitudes of the pre-service teachers towards the use of AR in science education. The evaluation of the intervention measure shows a significant increase in pre-service teachers' self-efficacy expectations across all areas of competencies to be taught, as well as a significantly more positive attitude towards the use of AR in science teaching. [ABSTRACT FROM AUTHOR]

Against the background of climate protection and the rising costs of a fossil-fuel-based energy supply, the interest in the energy performance and indoor climate of buildings in real operation is rising. This paper, therefore, deals with the indoor climate investigation of two medium-sized office buildings in Germany by taking measurements over a whole year. These relate to one new building and one refurbished building. Sensors of various types were installed and operated in a large number of office rooms, so that in total results are available for over 100 rooms, typically occupied by one or two persons. The analysis focuses on the indoor temperature in summer and the air quality in winter based on the CO2 concentration. The comfort classes according to DIN EN 16798 including the adaptive comfort approach are used as a basis to cluster the results. Both buildings have movable sun protection and openable windows but no facilities for active cooling. They, thus, represent a large number of existing 'low tech' office buildings in Germany and central Europe. The results reflect the respective building concepts but also show a wide range between the rooms due to the user preferences and behaviour. The refurbished building shows better results, especially in terms of air quality but also in terms of summer room temperatures. This underlines the benefit of the targeted measures as a result of an analysis of the deficits in the existing building before the refurbishment. The additional measures for decentralised mechanical ventilation and passive cooling are having positive effects. As part of the projects, further measures to improve the indoor climate were investigated in both buildings. In one case, this involved CO2 traffic lights to stimulate personal window ventilation in winter, and in the other, the use of newly developed individual ceiling fans supports convective heat dissipation on the human body during hot spells in summer. The positive effect could be demonstrated for both measures. [ABSTRACT FROM AUTHOR]

The 22q11.2 deletion syndrome (22q11.2DS) is the most common chromosomal microdeletion disorder caused by hemizygous microdeletion of the long arm of chromosome 22. It is now known to have a heterogenous presentation that includes multiple additional congenital anomalies and later-onset conditions, such as gastrointestinal and renal abnormalities, autoimmune disease, variable cognitive delays, behavioral phenotypes and psychiatric illness. The purpose of our paper is to present the case of a fetus diagnosed with a complex association of cardiac anomalies: interrupted aortic arch type B, large malalignment-type ventricular septal defect, pulmonary valve dysplasia, and aberrant right subclavian artery for whom the result of genetic testing revealed 22q11.2 deletion. The pregnancy was regularly followed until delivery which took place in Germany so that neonatal cardiac surgery could be performed in an experienced center for cardiac malformations. The distinctivness of our report resides in the fact that it offers a complete image of a case of 22q11.2 deletion syndrome starting from the prenatal diagnosis (and emphasizing on the most relevant sonographic features) and, with parents not opting for termination of pregnancy, ending with the newborn surviving major cardiac surgery, offering thus the possibility to bring into focus postnatal outcome and future expectations in similar cases. [ABSTRACT FROM AUTHOR]

Featured Application: The existing literature on bridge fragility curves for floods mainly uses analytical approaches. However, it is crucial to validate these models and to identify failure trends and patterns to detect vulnerabilities. Therefore, fragility curves obtained using data from actual collapses can be employed in CAT (catastrophe) models. Indeed, a gateway to faster recovery from bridge failures can be achieved by transferring the financial risk to insurance providers. Fragility curves allow the association of the hazard intensity to several damage levels, thus enabling the use of damage–loss equations. Floods trigger the majority of expenses caused by natural disasters and are also responsible for more than half of bridge collapses. In this study, empirical fragility curves were generated by referring to actual failures that occurred in the 2021 flood in Germany. To achieve this, a calibrated hydraulic model of the event was used. Data were collected through surveys, damage reports and condition ratings from bridge owners. The database comprises 250 bridges. The analysis revealed recurrent failure mechanisms belonging to two main categories: those induced by scour and those caused by hydraulic forcing. The severity of the damage was primarily dependent on the bridge typology and, subsequently, on the deck's weight. The analysis allowed us to draw conclusions regarding the robustness of certain bridge typologies compared to others for a given failure mechanism. The likelihood of occurrence of the triggering mechanism was also highlighted as a factor to consider alongside the damage probability. This study sheds light on existing vulnerabilities of bridges to river floods, discussing specific areas in which literature data are contradictory. The paper also strengthens the call for a shift towards a probabilistic approach for estimating hydraulic force in bridge design and assessment. [ABSTRACT FROM AUTHOR]

Slowing down replacement cycles to reduce resource depletion and prevent waste generation is a promising path toward a circular economy (CE). However, an obligation to longevity only sometimes makes sense. It could sometimes even backfire if one focuses exclusively on material resource efficiency measures of the production phase and neglects implications on the use phase. The (environmental) lifespan of circular products should, therefore, be optimized, not maximized, considering all life cycle phases. In this paper, a generic method for determining the optimal environmental lifespan (OEL) of energy-using products (EuPs) in a CE is developed, allowing the simultaneous inclusion of various replacement options and lifetime extension processes, like re-manufacturing, in the assessment. A dynamic programming approach is used to minimize the cumulative environmental impact or costs over a specific time horizon, which allows considering an unordered sequence of replacement decisions with various sets of products. The method further accounts for technology improvement as well as efficiency degradation due to usage and a dynamic energy supply over the use phase. To illustrate the application, the OEL of gas heating appliances in Germany is calculated considering newly evolved products and re-manufactured products as replacement options. The case-study results show that with an average heat demand of a dwelling in Germany, the OEL is just 7 years for climate change impacts and 11 years for the aggregated environmental indicator, R e C i P e e n d p o i n t (t o t a l) . If efficiency degradation during use is considered, the OEL for both environmental impact assessment methods even lowers to 1 year. Products are frequently replaced with re-manufactured products to completely restore efficiency at low investment cost, resulting in higher savings potential. This not only implies that an early replacement before the product breaks down is recommended but also that it is essential to maintain the system and, thus, to prevent potential efficiency degradation. The results for cost optimization, as well as currently observed lifespans, vary considerably from this. [ABSTRACT FROM AUTHOR]

News podcasts have emerged as a relevant medium, contributing to the collection, analysis, interpretation, and dissemination of information in mass media discourse. This paper presents an analysis of the sociodemographic backgrounds, professional profiles, role perceptions, and values of news podcasters based on an online survey of 195 participants in Austria, Germany, and Switzerland. The results reveal that news podcasters are predominantly male, middle-aged, and academically educated with no journalistic socialization or journalistic working experience. In terms of self-images and values, news podcasters emphasize the importance of education, information, and entertainment, while rejecting conventional concepts like criticism and control. Overall, they demonstrate a strong orientation towards the needs of their audiences and strive to be responsive to their preferences. Yet, the monetization of content through financing models such as sponsoring or native advertisement is not established on a broad scale. These findings shed light on the unique characteristics of news podcasters and provide insights into their status in a rapidly changing media environment. [ABSTRACT FROM AUTHOR]

In Germany, the systematics of humus forms has been developed, which is mainly based on morphological characteristics and has been proven via detailed long-term observation. The humus form systematics presented here is an update based on a new approach, clarifying the hierarchical structure into divisions, classes, types, and subtypes. New diagnostic horizons and transition horizons are introduced, uniquely characterising types and subtypes. This paper holds that the humus form is not only a product of decomposition, humification, and bioturbation but also serves as habitat for soil organisms. The processes and the habitat are shaped by soil-forming factors with the main factor being soil water conditions. Thus, on the first level of systematics, aeromorphic and aerohydromorphic as well as hydromorphic humus forms are differentiated. Many different features of the organic layers and the mineral topsoil can be observed in forests, open grasslands, the mountain zone above the tree line, and natural fens and bogs, as well as degraded peatlands. Features shaping the humus form, such as the proportion of organic fine material and packing of the organic matter as well as the structure of the mineral soil, have now been unambiguously described. However, site-specific soil-forming factors result in typical organic matter characteristics of individual horizons and typical combinations of different horizons. This relationship is illustrated using descriptions of distinct humus forms. [ABSTRACT FROM AUTHOR]

Rising energy costs have led to increased discussion about the social impact of the energy transition in Germany in recent years. In 2021, a gradually increasing CO2 tax was introduced. This paper analyzes the question of whether a CO2 tax can be socially just. Using data analysis and desk research, correlations between income and energy consumption in Germany are shown. In a short analysis, it is investigated which additional burdens different types of private households have to expect in the coming years due to the introduction of CO2 pricing on energy. In particular, the introduction of a per capita flat rate fed by CO2 tax revenues could be a suitable way to reduce the burden on low-income households. [ABSTRACT FROM AUTHOR]

Urban simulations play an important role on the way to a climate neutral society. To enable early assessment of different energy concepts for urban developments, energy profiles for different building types are needed. This work describes the development and use of a new engineering tool GenSim to quickly and reliably generate energy profiles for urban simulations and early building energy predictions. While GenSim is a standalone tool to create energy profiles for early design assessment, it was developed in the context of urban simulations to primarily support energy efficient urban developments within Germany. Energy engineers quickly embraced the tool due to its simplicity and comprehensible results. The development of the tool was recently switched to open source to enable its usage to a broader audience. In order to foster its development and use, a detailed testing framework has been established to ensure the quality of the results of the tool. The paper includes a detailed validation section to demonstrate the validity of the results compared to a detailed building energy simulation model and actual measured performance data. [ABSTRACT FROM AUTHOR]

A new species of gall crab collected from elegance coral, Catalaphyllia jardinei, is described in this paper. The male holotype was collected from a reef tank in Germany in 2016, and it is described here using integrative taxonomy. This species, named Lithoscaptus aquarius sp. nov., is the thirteenth assigned to the genus. It is morphologically and phylogenetically closest to Lithoscaptus semperi, a cryptochirid associated with Trachyphyllia geoffroyi. Like L. semperi, it has a large, broad W-shaped depression on the anterior half of the carapace, but the carapace surface of L. aquarius sp. nov. is smooth overall, lacking spines or tubercles. This new species is so named because it was found in a reef tank after searching in vain for material during fieldwork campaigns over the course of several years. [ABSTRACT FROM AUTHOR]

Currently, Micro Gas Turbines (MGTs) are widely used in small buildings, such as offices, hospitals, or households, in which electricity and thermal energy are needed. Their reliability, flexibility, and compactness allow these devices to operate in different regimes to fulfill the power demand. The opportunity to operate at partial-load is deeply investigated in this paper. To cope with the fast, unpredictable demand of energy, thermal storage and batteries are most commonly installed. The potential of these two components for the operating cost is also investigated in this paper in order to provide guidelines on their sizing. Moreover, the thermal and electrical energy demands depend on different factors such as building size, weather, day of the week, and location, all modeled in this work; the possibility to buy and feed electricity into the grid adds a further variable to the economic analysis. All these factors were considered in this study and led to the creation of an optimization algorithm, which was able to determine the optimal operating profile of the system for every single scenario. The operational optimization of a micro gas turbine, the MTT Enertwin, is presented. Data from experimental measurements were implemented in the algorithm in order to characterize the system performance. Concerning the input power demands, data for Germany according to the norm VDI 4655 were considered; hence, the results are formally limited to this region. However, considerations of batteries and thermal storage were broadly valid; also, the results can be of international interest in countries with a similar climate and habits. With this study, it is shown that the optimal operational strategy is in the vast majority of cases the full-load, with savings up to 20% with respect to partial-load. Furthermore, batteries between 1.5 and 2 kWh constitute the best compromise between installation costs and savings; the investment can be generally paid off in less than 3 years. Finally, a threshold of 400 L for thermal storage was identified. [ABSTRACT FROM AUTHOR]

Focusing on rural destinations and calling on the evolutionary resilience concept as a theoretical lens, this paper investigates whether COVID-19 provokes "revenge tourism" after periods of lockdown or whether the pandemic can be used as a chance for a degrowth-oriented restart that forms the foundation for a more sustainable tourism sector. Analysing tourism data and documents regarding political and economic actors' actions in two rural destinations in Ireland (Burren and Cliffs of Moher Geopark) and Germany (Southeast Rügen Biosphere Reserve), the study reveals that so far, neither "revenge travel" nor a degrowth-oriented restart of tourism can be identified. Rather, current development indicates that the two rural destinations show resilience in the sense of bouncing back to the pre-COVID-19 era and a continuation of further growth-oriented rural tourism as far as possible under the conditions of political COVID-19 measures. As this development will not allow the sector to genuinely come to grips with the negative ecological and sociocultural effects of rural tourism, the paper pleads for initiation of a debate about influencing business realities on a supranational level, and in this context, about the value of rural tourism destinations and possible forms of financial compensation for degrowth in rural tourism. [ABSTRACT FROM AUTHOR]

Simple Summary: The organic livestock sector has been experiencing a fast growth and, lately, organic farming has become a trending topic. However, the scientific research behind the organic livestock sector is not often clear. A bibliometric review is the first approach to a topic because it helps to provide an overview of the research conducted on the topic itself. It identifies the countries involved in organic livestock production research and the scientific interaction between countries and authors, and it allows to map the keywords of the published papers. These are all key aspects to bear in mind when starting a new research area or writing a research proposal. The bibliometric analysis conducted here includes peer-reviewed documents to guarantee, from a scientific point of view, the quality of the selected studies. In this paper, we present a new technique to analyze the literature from a bibliometric point of view, and the results and conclusions extracted from the investigated topic (i.e., organic livestock production). Due to the increasing interest in organic farming, an overview of this research area is provided through a bibliometric analysis conducted between April and May 2019. A total of 320 documents were published up until 2018 on organic livestock farming, with an annual growth rate of 9.33% and a clear increase since 2005; 268 documents have been published in 111 journals. Germany is the country with the largest number of published papers (56 documents). Authors' top keywords (excluding keywords used for running the search) included: animal welfare (29 times), animal health (22 times), cattle (15 times), grazing (10 times), and sheep (10 times). This could indicate that more research has been done on cattle because of the importance of this species in Germany. Moreover, the prevalence of the terms 'animal welfare' and 'animal health' may indicate that the research on organic livestock production has been focused on these two areas. The bibliometric analysis indicates that: (i) countries focused the organic livestock production research on their main production, and (ii) more research in species other than cattle and sheep is needed. [ABSTRACT FROM AUTHOR]

Without a building permit, a construction project cannot be legally implemented. For this, the building project must undergo a review process by the competent authority. As the number of building projects to be inspected increases, building authorities are faced with ever greater challenges, due to the lack of adequate personnel to manage the inefficient, labor extensive, and lengthy building permit process. In-depth scientific studies of the existing building permit processes are missing so far. This paper introduces a proposed framework that aims to investigate and compare the building permit processes in Germany and in the United States of America (USA). Among other things, the processes are studied for both by-right and non-by-right cases. In doing so, the data are based on a collected empirical study in the form of qualitative expert interviews. The findings of the comparison provide a detailed description and illustration of the current building permit processes, as well as the lessons learned from both countries. [ABSTRACT FROM AUTHOR]

Populism in Germany is not a new phenomenon. For a long time, the alleged integration problems of Turkish workers in Germany have been at the center of the dominant discourse and academic studies. This paper demonstrates how 'symbolic violence' as collective habitus frames the human capital of Turks as deficient, a phenomenon which has prevailed even prior to the recent populist movements. Drawing on a company case study, interviews, and observations, our empirical investigation operationalises and expands the Bourdieusian conceptual trinity of habitus, capital, and symbolic violence through the lens of ethnicity and how it relates to populism. [ABSTRACT FROM AUTHOR]

Renewables are the greener substitute for the conventional polluting sources of generating energy. For their successful integration into the power grid, accurate forecasts are required. In this paper, we report the lessons acquired from our previous works on generating time-series ARIMA-based forecasting models for renewables. To this end, we considered a consistent dataset spanning the last four years. Assuming four different performance metrics for each of the best ARIMA-based models of our previous works, we derived a new optimal model for each month of the year, as well as for the two different methodologies suggested in those works. We then evaluated the performance of those models, by comparing the two methodologies: in doing so, we proposed a hybrid methodology that took the best models out of those two methodologies. We show that our proposed hybrid methodology has improved yearly accuracy of about 89.5% averaged over 12 months of the year. Also, we illustrate in detail for the four years under study and each month of the year the observed percentage of renewables and its corresponding accuracy compared to the generated forecasts. Finally, we give the implementation details of our open-source REN4KAST software platform, which provides several services related to renewables in Germany. [ABSTRACT FROM AUTHOR]

In this paper, we demonstrate the capabilities of Pleiades-1a imagery for very high resolution (VHR) crop yield estimation by utilizing the predictor variables from the horizontal-spectral information, through Normalized Difference Vegetation Indices (NDVI), and the vertical-volumetric crop characteristics, through the derivation of Crop Canopy Models (CCMs), from the stereo imaging capacity of the satellite. CCMs captured by Unmanned Aerial Vehicles are widely used in precision farming applications, but they are not suitable for the mapping of large or inaccessible areas. We further explore the spatiotemporal relationship of the CCMs and the NDVI for five observation dates during the growing season for eight selected crop fields in Germany with harvester-measured ground truth crop yield. Moreover, we explore different CCM normalization methods, as well as linear and non-linear regression algorithms, for the crop yield estimation. Overall, using the Extremely Randomized Trees regression, the combination of CCMs and NDVI achieves an R2 coefficient of determination of 0.92. [ABSTRACT FROM AUTHOR]

Digitalization is a keyword in the discourse of educational science, but it is often linked to technological challenges, although digital changes occur throughout society. Therefore, STEM teachers are required to cope with technological changes in the subject, the increasing and diverse education and training technologies, and the ever-changing paths of information and communication of adolescents in their role as members of a changing society and culture. The TPACK-model focuses educators' professional knowledge based on teachers' expertise concerning technological knowledge per se and the pedagogy and content of their subjects. In contrast, knowledge relevant to daily life and social and cultural interaction beyond this is not clearly included in the TPACK-model at present. This article proposes supplementing the TPACK-model with the knowledge components of digital cultural transformations (digitality) and, therefore, extending the TPACK-model to a DPACK-model, where D stands for digitality. Therefore, digital transformation in STEM teaching requires additional professional knowledge considering the transformation of communication, mediatization and society. Through this expansion, the focus should also be directed on the necessity that children and young people in the digitally shaped world must also be able to critically reflect on the processes of change and shape them in an ethically responsible manner. For this reason, teachers require professional knowledge to reflect, analyze, use and shape the digital transformation, which is regularly demanded of them by national and international educational standards. As a foundation of STEM teachers' education and training, an integrated model combining these facets of knowledge and skills is provided for discussion, and, as a result, quickly found its way into the educational policy guidelines and educational science discourses in Germany. In order to integrate the sociocultural consequences of digitalization into TPACK, this paper proposes a new hemisphere, sociocultural knowledge, which extends the existing TPACK components. [ABSTRACT FROM AUTHOR]

The majority of freight in Germany is carried out by trucks, resulting in emitting approximately 9% of Germany's carbon dioxide equivalent emissions. In particular, long-distance truck journeys contribute significantly to these emissions. This paper aims to explore the conditions and impacts of introducing E-Trucks in Germany by utilizing a microscopic traffic simulation approach. Therefore, five different electrification levels of the long-distance truck traffic are evaluated. The demand-oriented charging network dimensioning aims for a realistic and implementable design and is based on an average charging power of 720 k W. Additionaly, it considers the necessary infrastructure requirements at service and rest areas next to the motorway. The results of this research provide valuable insights in terms of usage, requirements and demand. For an electrification level of 1%, 177 chargers at 173 charging sites must be implemented, while 1296 chargers and 457 charging sites must be built for an electrification level of 20%. The increase in the electrification level leads to more efficient occupancy of the charging facilities; i.e., an increase from 1% to 5% improves the average occupation time ratio per charger by approximately 130%. Of the total energy consumed, 65% is recharged en-route at public chargers. Between Monday and Thursday, each 1% electrification level increase requires 2.68 G W   h more energy for the public recharging network. [ABSTRACT FROM AUTHOR]

The digitization of German hospitals is proceeding continuously, leading to the implementation of new digital technologies, such as electronic health records (EHRs) or other technologies, used for the purpose of medical documentation tasks. Even though the replacement of paper documentation through digitized documentation in general promises to come along with plenty of benefits, the daily utilization of technologies might also lead to stresses and strains among the medical staff, eventually possibly leading to the development of different negative work and health-related outcomes. This study, therefore, aims at identifying persisting digitization-associated stressors and resources among medical hospital staff, examining their influences on different work and health-related outcomes, and finally, identifying potential needs for preventive measures. A quantitative study in the form of an online questionnaire survey was conducted among physicians working in the medical field of neuro- and vascular surgery in German hospitals. The study was carried out between June and October 2022 utilizing an online questionnaire based on several standardized scales, such as the technology acceptance model (TAM) and the technostress model, as well as on several scales from the Copenhagen Psychosocial Questionnaire (COPSOQ). The study found medium levels of technostress among the participating physicians (n = 114), as well as low to medium levels of persisting resources. The queried physicians, on average, reported low levels of burnout symptoms, generally described their health status as good, and were mostly satisfied with their job. Despite the prevalence of technostress and the low levels of resources among the surveyed physicians, there is little awareness of the problem of digital stress, and preventive measures have not been widely implemented yet in the clinics, indicating a needs gap and the necessity for the strategic and quality-guided implementation of measures to effectively prevent digital stress from developing. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a significant impact on the wellbeing of children and families globally. With extended lockdown periods, early childhood education and school closures, and remote learning, families experienced increased stress and anxiety, financial hardship, and disrupted routines. This paper aims to explore associations between children's social-emotional wellbeing and environmental factors (including the burden of COVID-19 on the family, early learning experiences in the home and early childhood education, and parent wellbeing and mental health) during COVID-19 in Australia and Germany, two countries that experienced significant lockdown periods. Using a longitudinal online survey design, parents of young children (aged 1–6 years) in Australia (N = 66) and Germany (N = 53) completed surveys on their own wellbeing; their child's wellbeing; the home learning environment, and their satisfaction with early childhood education and care at two time points in 2020 and 2021. The burden of COVID-19 mitigation measures on families' everyday lives correlated with child wellbeing outcomes in both the Australian and German cohorts. Findings also provide evidence of potential protective factors of children's social-emotional wellbeing during stressful events, such as the lockdowns experienced by families in Germany and Australia during the pandemic. [ABSTRACT FROM AUTHOR]

The energy crisis in Europe in 2022 and its consequences have brought changes to approaches towards the issue of energy security, energy policy, and the ability to react to crisis phenomena in the energy market in a short period of time. European countries that are dependent on Russian fossil fuels have faced numerous dilemmas and challenges in 2022. This paper aims to analyse the instruments and energy policies introduced as the reactions of European countries, specifically with the examples of Poland and Germany, to the ongoing fossil fuel crisis in the context of a short period. Due to the specificity of the energy market, the countries' energy policies mainly concern long- and medium-term goals. In 2022, there was an unprecedented situation in which many European countries had to make significant changes to their fossil fuel imports quickly. We analyse and evaluate how two European countries that are heavily reliant on imported energy resources responded in a short time to the necessity of modifying their patterns of fossil fuel supply and demand. The results of our research are models that illustrate both countries' reactions to the disturbances in the energy market during the initial months of the energy crisis. As part of the research, we conducted an analysis of the energy mix of Poland and Germany, their import energy dependency, and self-sufficiency. We then compared them with the short-term energy policies of both countries. As a result, we elaborate on a comparative analysis of the models of Poland's and Germany's responses to the crisis. The research also assesses the similarities and differences in the response models in Poland's and Germany's short-term energy security policies. The results of our research may help, in the future, to choose the available short-term instruments in the energy policy of countries in the face of a sudden need resulting from disruptions in supply chains. The article contributes to the future discussion on renewed national and regional energy security, as well as efficiency concepts. Our research findings could be valuable in selecting appropriate short-term energy policy tools for countries during supply chain disruptions. This article provides significant input for future deliberations on enhancing national and regional energy security, and also efficiency strategies. [ABSTRACT FROM AUTHOR]

Simple Summary: Knowledge about species has been surveyed many times in research in the past. To our knowledge, species selection has never been properly justified and there is no consensus on which species should be used as a baseline for knowledge about species in the public. Based on database analysis and two expert panel studies, a list of 50 bird species (occurring in Germany) is provided at the end of this paper. The list can be used by educational institutions, for example, but also for research to make studies about knowledge about species more comparable in the future. The loss of Earth's biodiversity is accompanied by a loss of public knowledge about species. Many scientists are convinced that knowledge about species is an important prerequisite to interest and investment in species conservation. In the past, knowledge about species has mostly been assessed using birds, but there is no consensus on which birds could serve as a baseline for knowledge about species in the general public. The aim of this study is to provide a list of the 'golden 50′ bird species in Germany that can be used by educational institutions, as well as studies about species knowledge to make them more comparable. The list can also serve as a basis for the selection of so-called flagship species, which are used for the protection of habitats and other species due to their high likeability. To achieve this, three consecutive steps were conducted: an analysis of bird-related databases to determine which species might be common and known and two expert panel studies. The data analysis included several factors: species characteristics, Citizen Science data, public value and importance, and scientific studies. In both the first and second rounds, experts were asked for their opinion on which species should be known by the general public in Germany. The first expert panel, which consisted of only a small group of experts (n = 6), was mainly used to reduce the number of species for the second panel. In the second expert panel, 197 ornithologically qualified experts from all over Germany were asked for their assessment. The correlations between the expert assessments and the different variables were all significant (except for the species trait "colourfulness"), which validates the selection process used here and consequently the species list that has been compiled. The selection process can also be applied to other biogeographical regions or taxa. [ABSTRACT FROM AUTHOR]

This paper presents the examination of a values–beliefs–norms (VBN) model, modified by climate change risk perception, in France, Germany, and Spain, to investigate consumers' intentions to purchase personal and house care products that are going to contain innovative ingredients made from recycled CO2. Electronic interviews were undertaken by a research agency on stratified (gender and age) samples in each country. Solely biospheric values indicated a statistically significant and positive causal relationship with risk perception. Risk perception provided the strongest of all impacts on awareness of consequences. Awareness of consequences affected the ascription of responsibility, and ascription of responsibility affected personal norms, which in turn generated consumption intentions. VBN was found powerful in explaining 58%, 60.2%, and 43.3% of the variance in intentions to buy CPGs with green chemical ingredients in French, German, and Spanish consumers, respectively. Moderation analysis indicated that the relationship between personal norms and consumption intentions is stronger in France and Germany than in Spain. Theoretical and practical implications are provided. [ABSTRACT FROM AUTHOR]

In forced migration literature, there is a lack of studies on the impact of war trauma on interpersonal mistrust among refugees and their interpersonal trust in members of the host society. To contribute to filling this gap, the author studied the impact of war trauma on interpersonal mistrust among Syrian refugees in Germany and their interpersonal trust in Germans. The data are based on semi-structured qualitative interviews with 20 Syrian refugees and asylum-seekers conducted in 2018 and 2019. The author argues that because traumatised refugees are powerfully influenced by past traumatic events experienced in their home country, they tend to mistrust people who can be associated with the place where these traumatic experiences occurred. In contrast, they are inclined to trust people who cannot be linked to the geographical location of the traumatic experiences. The main result of this study is that similarity—that of war-traumatised refugees sharing the same socio-cultural backgrounds—leads to interpersonal mistrust, while dissimilarity leads to interpersonal trust. The author of this paper calls for considering trust-building among war traumatised refugees, which has significant importance for refugee integration. [ABSTRACT FROM AUTHOR]

It is widely assumed that post-industrial societies are characterized not only by growing economic inequalities and social polarization but also by increasing spatial segregation. This paper does not address residential segregation (i.e., "intra-city" inequalities), but instead investigates how social classes are distributed over different settlement types and whether class differences in places of residence have increased between 1996 and 2018. Based on microcensus data and applying the ESeC class schema, we focus on the question of whether members of the "new middle class" are increasingly concentrated in post-industrial metropolises while members of the "old middle class" largely reside in peripheral towns and regions. The results do not support the assumption that spatial disparities between classes have systematically increased in Germany. However, opposing trends in the likelihood of residing in the most dynamic cluster of the German metropolises are observed for the youngest age group of the new middle class and the oldest age group of the old middle class. [ABSTRACT FROM AUTHOR]

In hospital construction, additional challenges must be considered, such as an increased number of stakeholders and building trades, such as medical and laboratory technology. Due to the increasing requirements and challenges, associated construction processes are becoming more intricate. Especially for complex building types, the effects of this development are clearly noticeable and cause considerable disruptions to the construction process. A main difficulty constitutes the missing definition of the interfaces of building trades and participants. In the present study, interfaces in hospital construction were identified and analyzed by guided interviews with experts from the health sector. The qualitative content analysis, according to Mayring, was used for the evaluation to derive appropriate solution approaches. This paper presents the interfaces using the example of hospital construction in Germany and general approaches of optimization. Hereby, the digital method Building Information Modeling (BIM) plays a decisive role in the optimization of interfaces, especially in complex buildings. Furthermore, a task and building trade control matrix is required to better coordinate the interfaces. The identified approach intends to alleviate potential disputes and misunderstandings among stakeholders, as well as to improve time and financial predictability, which are particularly valuable during inflationary periods. [ABSTRACT FROM AUTHOR]

The 2021 flooding events in The Netherlands, Belgium and Germany have sensitized many municipalities across Europe and especially in Germany, the federal states of North Rhine-Westphalia (NRW) and Rhineland-Palatinate, having been particularly affected, have formulated more extensive requirements for the municipalities to be able to manage these drastic situations. Flood risks and heavy rainfall maps are crucial instruments in this context because they serve as a basis for identifying risks and also for selecting suitable measures to minimize them and, in 2021, in Germany, the Federal Agency for Cartography and Geodesy (BKG) made available for the first time a state-wide, cross-municipal heavy rainfall information map for the state of North Rhine-Westphalia, in which heavy rainfall and flooding risks are recognizable for every citizen. Therefore, municipalities that already had their own heavy rainfall maps had a comparative possibility of plausibility checks, while those that did not yet have their own heavy rainfall map, had the possibility to benefit from these resources. Especially in this second scenario, the municipalities and the wastewater utilities need reliable practical advice on how to classify the information from the maps regarding drainage consequences, and this paper aims to fill this void, summarizing the experience of the 80 municipalities represented in the KomNetAbwasser in dealing with heavy rainfall maps and discussing requirements for their informative value. Furthermore, measures for risk minimization and their prioritization are also proposed, focusing on risk identification, organizational tasks, action planning and implementation, analysis of the hazard maps, risk assessment and the selection of emergency measures. [ABSTRACT FROM AUTHOR]

Though it is a global phenomenon, migration results in a variety of local outcomes. Depending on migrants' specific arrival contexts, countries of origin and migration motives, they are channelled into different categories. As a result, they encounter unequal access to different domains at the local level. This paper analyses how young migrants in vulnerable conditions are able to access and use local or localised resources and to what extend these resources enable them to overcome structural barriers over time. Our analysis builds on empirical findings from a case study in Dortmund, Germany, conducted through the EU-funded MIMY project. Drawing on narrative interviews with young refugees (aged 18–29), it highlights three specific cases where temporal and spatial factors shape individual integration pathways. The narratives highlight the barriers encountered by young refugees, most of which are related to migrant policy categories implemented at national or supra-national levels. In the arrival context, the young migrants are able—to varying degrees—to mobilise localised resources helping them overcome (at least partially) such mainly structural barriers. Focusing on the emergence and evolution of local integration landscapes thus reveals the importance of time and the difference time makes in terms of the availability of resources and legal frameworks. [ABSTRACT FROM AUTHOR]

Political decision-making related to future challenges, for example in the fields of medical care, the housing market or education highly depend on valid estimates of the future population size and structure. However, such developments are usually heterogeneous throughout a country making subnational projections necessary. It is well-known that these regional differences are highly influenced by both internal and external migration processes. In this paper, we investigate the consequences of different migration assumptions on regional development in Germany using a spatial dynamic microsimulation. We find that migration assumptions have a strong direct influence on the future population and composition at the regional level and, therefore, require special attention. Depending on the scenario selected, very different socio-demographic trends may emerge in specific districts or even district types. We also demonstrate that migration assumptions affect non-demographic indicators such as the participation rate, albeit to a lesser extent. The findings are relevant to understanding the sensitivity of population projections to migration assumptions both on the national and regional level. This also paves the way to analyze how potential political interventions behave under those assumed future migration processes. [ABSTRACT FROM AUTHOR]

Prestressed concrete bridges built between 1960 and 1990 no longer meet today's requirements due to loads and increasing mileage of higher loads that have increased since the bridges were designed. Prestressed concrete bridges are representative of Germany's existing bridges. In order to deal with the large number of ageing bridges, recalculations and measurements for control as well as bridge monitoring are an important means of support. For both, it is important to find features that are damage-sensitive as well as robust against measurement noise, vehicle parameters (dynamics, geometry, weight, etc.) and environmental influences (temperature, wind, etc.). In this paper, we present features for damage detection based on the influence line, which are investigated with respect to the above requirements by using the analytical solution of the Euler–Bernoulli beam and more complex numerical bridge simulations. In this context, we restrict ourselves to the damage caused by bending stress. The features are calculated on the basis of single vehicle crossings over the bridge for the strain in the longitudinal direction as well as for the deflection of the bridge at different sensor positions. The ratio-based features are compared with raw data and natural frequencies in a classification. Additionally, the sensor positioning is considered. The investigations shows that the ratio-based integrated influence lines are equivalent to or better than the modal parameters, especially when noise and temperature changes are taken into account. [ABSTRACT FROM AUTHOR]

This research paper examines the adoption of digital services for the vaccination during the COVID-19 pandemic in Germany. Based on a survey in Germany's federal state with the highest vaccination rate, which used digital vaccination services, its platform configuration and adoption barriers are analyzed to understand existing and future levers for optimizing vaccination success. Though technological adoption and resistance models have been originally developed for consumer-goods markets, this study gives empirical evidence especially for the applicability of an adjusted model explaining platform adoption for vaccination services and for digital health services in general. In this model, the configuration areas of personalization, communication, and data management have a remarkable effect to lower adoption barriers, but only functional and psychological factors affect the adoption intention. Above all, the usability barrier stands out with the strongest effect, while the often-cited value barrier is not significant at all. Personalization is found to be the most important factor for managing the usability barrier and thus for addressing the needs, preferences, situation, and, ultimately, the adoption of the citizens as users. Implications are given for policy makers and managers in such a pandemic crisis to focus on the click flow and server-to-human interaction rather than emphasizing value messages or touching traditional factors. [ABSTRACT FROM AUTHOR]

Temporally and spatially resolved data on wind power generation are very useful for studying the technical and economic aspects of this variable renewable energy at local and regional levels. Due to the lack of disaggregated electricity data from onshore and offshore turbines in Germany, it is necessary to use numerical simulations to calculate the power generation for a given geographic area and time period. This study shows how such a simulation model, which uses freely available plant and weather data as input variables, can be developed with the help of basic atmospheric laws and specific power curves of wind turbines. The wind power model is then applied to ensembles of nearly 28,000 onshore and 1500 offshore turbines to simulate the wind power generation in Germany for the years 2019 and 2020. For both periods, the obtained and spatially aggregated time series are in good agreement with the measured feed-in patterns for the whole of Germany. Such disaggregated simulation results can be used to analyze the power generation at any spatial scale, as each turbine is simulated separately with its location and technical parameters. This paper also presents the daily resolved wind power generation and associated indicators at the federal state level. [ABSTRACT FROM AUTHOR]