@misc{12899, abstract = {{The landscape ecology community witnessed a landmark event in July 2023 as the 11th International Association for Landscape Ecology (IALE) World Congress unfolded on the African continent for the first time. This editorial commemorates this historic occasion, tracing the journey from the inception of Africa-IALE initiatives in 2002 to the culmination of the World Congress held in Nairobi, Kenya, almost two decades later. Having previously graced Europe, Northern America, Australia, and Asia, the IALE World Congress embraced Africa, showcasing the global reach and inclusive spirit of landscape ecology. This editorial explores the evolution of Africa-IALE, highlighting the initiatives and the persistent efforts that led to the World Congress in Africa. We firstly delve into the socio-cultural and international significance of this shift, emphasising the unique perspectives and challenges faced by the African landscape ecology community. Secondly, we assess the participants involved in the 11th World IALE Congress, the topics discussed, current trends, and priorities within the global landscape ecology research community. To do so, we conducted a bibliometric analysis of the conference proceedings. Lastly, we reflect on the impacts of this Congress. Our retrospective perspective offers a comprehensive view of the symbiotic relationships among the international landscape ecology community and how landscape ecology has evolved in parallel with emerging challenges and emerging centres of knowledge and leadership.}}, author = {{Rolf, Werner and Obando, Joy and Bulley, Henry N. and Cho, Moses Azong and Bamutaze, Yazidi and Scheller, Robert M. and Schirpke, Uta}}, booktitle = {{Landscape Online}}, issn = {{1865-1542}}, keywords = {{Landscape Ecology, Landscape Research, Land Sciences, Publication ethics}}, publisher = {{IALE-D}}, title = {{{Odyssey of First IALE World Congress in Africa and Opportunities for North-South or South-South Collaboration}}}, doi = {{10.3097/lo.2023.1119}}, volume = {{98}}, year = {{2023}}, } @misc{12900, abstract = {{Green (and blue) spaces receive attention as important components of cities that can help to mitigate the effects of climate change, support biodiversity and improve public health. Green space planning aims to transform cities towards urban sustainability and resilience. In a longitudinal study, representatives from eleven European municipalities that had previously been interviewed in 2014 were re-interviewed in 2020–2021 on changes in urban greening and related practices. The interviewees reported mainly advancements in dealing with ecological issues, such as new plans, strategies, regulations or funding programmes for climate adaptation or biodiversity support, as well as some progress in co-governance with non-governmental stakeholders. Promising developments include breaking professional silos by creating new units that can better deal with complex urban issues. In a few cases, high-level local politicians induced profound changes. These changes stimulated the development of new planning and governance cultures, resulting in more co-creation of urban green spaces. However, from a transformation studies perspective, incremental strategies dominate, and even when municipal representatives are aware that substantive changes are needed, they often lack the means to act. For more radical system change, significant extra efforts are needed.}}, author = {{Hansen, Rieke and Buizer, Marleen and Buijs, Arjen and Pauleit, Stephan and Mattijssen, Thomas and Fors, Hanna and van der Jagt, Alexander and Kabisch, Nadja and Cook, Mandy and Delshammar, Tim and Randrup, Thomas B. and Erlwein, Sabrina and Vierikko, Kati and Nieminen, Hanna and Langemeyer, Johannes and Soson Texereau, Camille and Luz, Ana Catarina and Nastran, Mojca and Olafsson, Anton Stahl and Steen Møller, Maja and Haase, Dagmar and Rolf, Werner and Ambrose-Oji, Bianca and Branquinho, Cristina and Havik, Gilles and Kronenberg, Jakub and Konijnendijk, Cecil}}, booktitle = {{European Planning Studies}}, issn = {{1469-5944}}, keywords = {{Co-governance, participation, climate change, sustainability transformations, green infrastructure}}, number = {{12}}, pages = {{2401--2424}}, publisher = {{Taylor & Francis}}, title = {{{Transformative or piecemeal? Changes in green space planning and governance in eleven European cities}}}, doi = {{10.1080/09654313.2022.2139594}}, volume = {{31}}, year = {{2023}}, } @misc{12940, abstract = {{There are limited data on Lyme borreliosis (LB), a tick-borne disease caused by the Borrelia burgdorferi sensu lato complex, in horses. Seropositivity is not necessarily associated with clinical disease. Data on seropositivity against Borrelia burgdorferi and Anaplasma phagocytophilum in German horses are sparse. Therefore, serum samples from horses (n = 123) suspected of having Lyme borreliosis and clinically healthy horses (n = 113) from the same stables were tested for specific antibodies against Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum. The samples were screened for antibodies against Borrelia burgdorferi (ELISA and an IgG line immunoblot assay). Furthermore, the samples were examined for antibodies against B. burgdorferi and Anaplasma phagocytophilum with a validated rapid in-house test (SNAP® 4Dx Plus® ELISA). The clinical signs of suspect horses included lameness (n = 36), poor performance (n = 19), and apathy (n = 12). Twenty-three percent (n = 26) of suspect horses and 17% (n = 18) of clinically healthy horses were seropositive for having a Borrelia burgdorferi sensu lato infection (p = 0.371), showing that the detection of specific antibodies against B. burgdorferi alone is not sufficient for a diagnosis of equine LB. Anaplasma phagocytophilum seropositivity and seropositivity against both pathogens was 20%/6% in suspect horses and 16%/2% in the clinically healthy population, showing only minor differences (p = 0.108). Unspecific testing for antibodies against B. burgdorferi without clinical suspicion of Lyme borreliosis is not recommended since the clinical relevance of seropositivity against Borrelia burgdorferi sensu lato remains to be elucidated.}}, author = {{Gehlen, Heidrun and Inerle, Katharina and Bartel, Alexander and Stöckle, Sabita Diana and Ulrich, Sebastian and Briese, Beatrice and Straubinger, Reinhard K.}}, booktitle = {{Animals}}, issn = {{2076-2615}}, keywords = {{equine Lyme borreliosis, equine granulocytic anaplasmosis, seroprevalence, co-infection}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Seroprevalence of Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum Infections in German Horses}}}, doi = {{10.3390/ani13121984}}, volume = {{13}}, year = {{2023}}, } @misc{12941, abstract = {{Stachybotrys chartarum (Hypocreales, Ascomycota) is a toxigenic fungus that is frequently isolated from water-damaged buildings or improperly stored feed. The secondary metabolites formed by this mold have been associated with health problems in humans and animals. Several authors have studied the influence of environmental conditions on the production of mycotoxins, but these studies focused on undefined or complex substrates, such as building materials and media that impeded investigations of the influence of specific nutrients. In this study, a chemically defined cultivation medium was used to investigate the impact of several nitrogen and carbon sources on growth of S. chartarum and its production of macrocyclic trichothecenes (MTs) and stachybotrylactam (STLAC). Increasing concentrations of sodium nitrate were found to positively affect mycelial growth, the level of sporulation, and MT production, while ammonium nitrate and ammonium chloride had an inhibitory effect. Potato starch was the superior and most reliable carbon source tested. Additionally, we observed that the level of sporulation was correlated with the production of MTs but not with that of STLAC. In this study, we provide a chemically well-defined cultivation medium suitable for standardized in vitro testing of the capacity of S. chartarum isolates to produce macrocyclic trichothecenes.}}, author = {{Tribelhorn, Katharina and Twarużek, Magdalena and Kosicki, Robert and Straubinger, Reinhard K. and Ebel, Frank and Ulrich, Sebastian}}, booktitle = {{Applied and Environmental Microbiology}}, issn = {{1098-5336}}, number = {{7}}, publisher = {{American Society for Microbiology}}, title = {{{A Chemically Defined Medium That Supports Mycotoxin Production by Stachybotrys chartarum Enabled Analysis of the Impact of Nitrogen and Carbon Sources on the Biosynthesis of Macrocyclic Trichothecenes and Stachybotrylactam}}}, doi = {{10.1128/aem.00163-23}}, volume = {{89}}, year = {{2023}}, } @misc{12942, abstract = {{The ectoparasite Ixodes ricinus is an important vector for many tick-borne diseases (TBD) in the northern hemisphere, such as Lyme borreliosis, rickettsiosis, human granulocytic anaplasmosis, or tick-borne encephalitis virus. As climate change will lead to rising temperatures in the next years, we expect an increase in tick activity, tick population, and thus in the spread of TBD. Consequently, it has never been more critical to understand relationships within the microbial communities in ticks that might contribute to the tick’s fitness and the occurrence of TBD. Therefore, we analyzed the microbiota in different tick tissues such as midgut, salivary glands, and residual tick material, as well as the microbiota in complete Ixodes ricinus ticks using 16S rRNA gene amplicon sequencing. By using a newly developed DNA extraction protocol for tick tissue samples and a self-designed mock community, we were able to detect endosymbionts and pathogens that have been described in the literature previously. Further, this study displayed the usefulness of including a mock community during bioinformatic analysis to identify essential bacteria within the tick.}}, author = {{Wiesinger, Anna and Wenderlein, Jasmin and Ulrich, Sebastian and Hiereth, Stephanie and Chitimia-Dobler, Lidia and Straubinger, Reinhard K.}}, booktitle = {{International Journal of Molecular Sciences}}, issn = {{1422-0067}}, keywords = {{Ixodes ricinus, microbiome, tick-borne disease, salivary glands, midgut, endosymbiont, Candidatus Midichloria mitochondrii}}, number = {{2}}, publisher = {{MDPI AG}}, title = {{{Revealing the Tick Microbiome: Insights into Midgut and Salivary Gland Microbiota of Female Ixodes ricinus Ticks}}}, doi = {{10.3390/ijms24021100}}, volume = {{24}}, year = {{2023}}, } @misc{12943, abstract = {{Brown trout (Salmo trutta) is an important aquaculture species in Germany, but its production faces challenges due to global warming and a high embryo mortality. Climate factors might influence the fish’s bacterial community (BC) and thus increase embryo mortality. Yet, knowledge of the physiological BC during ontogeny in general is scarce. In this project, the BC of brown trout has been investigated in a period from unfertilized egg to 95 days post fertilization (dpf) using 16S rRNA gene amplicon sequencing. Developmental changes differed between early and late ontogeny and major differences in BC occurred especially during early developmental stages. Thus, analysis was conducted separately for 0 to 67 dpf and from 67 to 95 dpf. All analyzed stages were sampled in toto to avoid bias due to different sampling methods in different developmental stages. The most abundant phylum in the BC of all developmental stages was Pseudomonadota, while only two families (Comamonadaceae and Moraxellaceae) occurred in all developmental stages. The early developmental stages until 67 dpf displayed greater shifts in their BC regarding bacterial richness, microbial diversity, and taxonomic composition. Thereafter, in the fry stages, the BC seemed to stabilize and changes were moderate. In future studies, a reduction in the sampling time frames during early development, an increase in sampling numbers, and an attempt for biological reproduction in order to characterize the causes of these variations is recommended.}}, author = {{Keiz, Katharina and Ulrich, Sebastian and Wenderlein, Jasmin and Keferloher, Patrick and Wiesinger, Anna and Neuhaus, Klaus and Lagkouvardos, Ilias and Wedekind, Helmut and Straubinger, Reinhard K.}}, booktitle = {{Microorganisms : open access journal }}, issn = {{2076-2607}}, keywords = {{fish, brown trout, Salmo trutta, development, ontogeny, microbiome, bacterial community}}, number = {{1}}, publisher = {{MDPI AG}}, title = {{{The Development of the Bacterial Community of Brown Trout (Salmo trutta) during Ontogeny}}}, doi = {{10.3390/microorganisms11010211}}, volume = {{11}}, year = {{2023}}, } @misc{12994, abstract = {{HUMAN 2023 is the 6th workshop of a series for the ACM Hypertext conferences. The HUMAN workshop has a strong focus on the user and thus is complementary to the strong machine analytics research direction that could be experienced in previous conferences.The user-centric view on hypertext not only includes user interfaces and interaction, but also discussions about hypertext application domains as well as human-centered AI. Furthermore, the workshop raises the question of how original hypertext ideas (e. g., Doug Engelbart’s "augmenting human intellect" [7] or Jeff Conklin’s "hypertext as a computer-based medium for thinking and communication" [6]) can improve today’s hypertext systems.}}, author = {{Rubart, Jessica and Atzenbeck, Claus}}, booktitle = {{Proceedings of the 34th ACM Conference on Hypertext and Social Media}}, isbn = {{979-8-4007-0232-7}}, keywords = {{user interfaces, information structuring, decision making, human-centered AI, cognitive aspects, scientific community, digital humanities, user interaction, human factors, user-centric, annotation, adaptive hypertext, hypermedia, collaboration, information systems, augmentation, hypertext, communication, intercultural aspects}}, location = {{Rome, Italy}}, publisher = {{ACM}}, title = {{{HUMAN’23: 6th Workshop on Human Factors in Hypertext}}}, doi = {{10.1145/3603163.3610576}}, year = {{2023}}, } @misc{12995, abstract = {{Due to Industry 4.0 developments, the demanded modularity of manufacturing systems generates additional manual efforts for security experts to guarantee a secure operation. The rising utilization of information and the frequent changes of system structures necessitate a continuous and automated security engineering, especially by application of the mandatory security risk assessments. Collecting the required information for these assessments and formalising expert knowledge shall improve the security of modular manufacturing systems in the future. In order to automate the security risk assessment process, this work proposes a method to determine the Target Security Level (SL-T) in conformance to the IEC 62443 standard based on the MITRE ATT&CK framework and the Intel Threat Agent Library (TAL).}}, author = {{Ehrlich, Marco and Bröring, Andre and Diedrich, Christian and Jasperneite, Jürgen and Kastner, Wolfgang and Trsek, Henning}}, booktitle = {{2023 IEEE 21st International Conference on Industrial Informatics : INDIN 2023 : 17-20 July 2023, Lemgo, Germany}}, editor = {{Jasperneite, Jürgen}}, isbn = {{978-1-6654-9314-7}}, keywords = {{Integrated circuits, Industries, Libraries, Security, Risk management, IEC Standards, Interviews}}, location = {{Lemgo}}, publisher = {{IEEE}}, title = {{{Determining the Target Security Level for Automated Security Risk Assessments}}}, doi = {{10.1109/indin51400.2023.10217902}}, year = {{2023}}, } @misc{13010, abstract = {{Especially in highly interdisciplinary fields such as automation engineering, contemporary programming education with tailored assignments and individual feedback is a major challenge for educational institutions due to the increasing number of students per teacher and the ever-increasing demand for computer science professionals. To address this gap, we present ”KIAAA” an AI Assistant for Automation Engineering Teaching, a work-in-progress approach for an integrated, customized, and AI-based learning support system for automation and programming courses based on instructor-defined course objectives. Thereby in the KIAAA system, the individual knowledge level of the students is determined and individually tailored virtual learning scenarios are generated based on the knowledge and learning profile of the students. These are iteratively adapted based on the answers given. To achieve this, KIAAA uses several AI components, a hybrid rule-based scenario generation component, a Help-DKT-based cognitive model, and a solution assessor that uses a combination of traditional code analysis methods and AI-based analyses methods for automated programming task assessment. These components are the main parts of KIAAA to generate customized programming scenarios as well as visualization and simulation based on a modern game and physics engine.}}, author = {{Eilermann, Sebastian and Wehmeier, Leon and Niggemann, Oliver and Deuter, Andreas}}, booktitle = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}}, editor = {{Jasperneite, Jürgen}}, isbn = {{978-1-6654-9314-7}}, keywords = {{Visualization, Automation, Education, Games, Hybrid power systems, Task analysis, Artificial intelligence}}, location = {{Lemgo}}, publisher = {{IEEE}}, title = {{{KIAAA: An AI Assistant for Teaching Programming in the Field of Automation}}}, doi = {{10.1109/indin51400.2023.10218157}}, year = {{2023}}, } @misc{13012, abstract = {{The aim of the study is to provide an up-to date overall evaluation of visual contamination occurring on the slaughter line in order to provide a basis for implementing contamination control measures and to the hygienic quality of the processes. For this purpose, 627 contaminated pig carcasses in an industrial slaughterhouse in north western Germany were examined in 2021 for its distribution of type, areal extent and localization of slaughter contamination. Prior to official meat inspection, two persons visually scanned dorsal and ventral surfaces of the eviscerated but not yet split pig carcasses from cranial to caudal and recorded types, areal extent and localization of the contamination. The main contamination type were intestinal contents, bile, stomach contents, tubular rail fat and “others”, which mostly consisted of a reddish foam from the respiratory tract. 103 out of 627 contaminated animals showed more than one contamination, which leads to a total number of 754 contaminations detected. Intestinal contents accounted for almost half of all contaminations and “others” for 30%. Forelimb, back and ham together counted for 70% of the contaminated regions. The affected area was smaller than that of a one euro coin (diameter about 23 mm) in 86% of the cases.}}, author = {{Tholen, Janna and Grosse-Kleimann, J. and Schulze Althoff, G. and Kreienbrock, L. and Upmann, Matthias}}, booktitle = {{Meat Science}}, issn = {{1873-4138}}, keywords = {{Abattoir, Slaughter hygiene, Evisceration, Pork production, Pig carcass contamination, Fecal contamination, Bile contamination, Meat inspection}}, number = {{2}}, publisher = {{Elsevier BV}}, title = {{{Type, areal extent and localization of carcass contaminations during industrial pig slaughter}}}, doi = {{10.1016/j.meatsci.2023.109365}}, volume = {{208}}, year = {{2023}}, } @misc{13013, abstract = {{The relationship between green spaces and health is attracting more and more societal and research interest. The research field is however still suffering from its differing monodisciplinary origins. Now in a multidisciplinary environment on its way to a truly interdisciplinary field, there is a need for a common understanding, precision in green space indicators, and coherent assessment of the complexity of daily living environments. In several reviews, common protocols and open-source scripts are considered a high priority to advance the field. Realizing these issues, we developed PRIGSHARE (Preferred Reporting Items in Greenspace Health Research). It is accompanied by an open-source script that supports non-spatial disciplines in assessing greenness and green space on different scales and types. The PRIGSHARE checklist contains 21 items that have been identified as a risk of bias and are necessary for understanding and comparison of studies. The checklist is divided into the following topics: objectives (3 items), scope (3 items), spatial assessment (7 items), vegetation assessment (4 items), and context assessment (4 items). For each item, we include a pathway-specific (if relevant) rationale and explanation. The PRIGSHARE guiding principles should be helpful to support a high-quality assessment and synchronize the studies in the field while acknowledging the diversity of study designs.}}, author = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}}, booktitle = {{Environmental Research}}, issn = {{1096-0953}}, keywords = {{Greenspace, Well-being, Public health, Pollution, Behavior, Stress}}, publisher = {{Elsevier BV}}, title = {{{Preferred reporting items in green space health research. Guiding principles for an interdisciplinary field.}}}, doi = {{10.1016/j.envres.2023.115893}}, volume = {{228}}, year = {{2023}}, } @misc{13014, abstract = {{In the interdisciplinary field of green space health research, there is a demand to reduce the effort to assess green space, especially for non-spatial disciplines. To address this issue, we developed AID-PRIGSHARE, an open-source script that automates over 400 QGIS processes to substantially reduces the time-intensive task of generating green space indicators. AID-PRIGSHARE calculatesgreenness, green space amount, access to green infrastructure, and green space uses within distances of 100–1500 m around geolocations. This substantially reduces the effort for sensitivity analysis and may provide support for research that aims to understand the impact of green space indicators on health outcomes.}}, author = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}}, booktitle = {{Software Impacts}}, issn = {{2665-9638}}, keywords = {{Green space, Sensitivity analysis, Indicator, GIS, Script, Automatization}}, publisher = {{Elsevier BV}}, title = {{{AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines}}}, doi = {{10.1016/j.simpa.2023.100506}}, volume = {{16}}, year = {{2023}}, } @misc{13015, abstract = {{food are discarded annually, with a worldwide total exceeding 1.3 billion tonnes. A significant contributor to this issue are consumers throwing away still edible food due to the expiration of its best-before date. Best-before dates currently include large safety margins, but more precise and cost effective prediction techniques are required. To address this challenge, research was conducted on low-cost sensors and machine learning techniques were developed to predict the spoilage of fresh pizza. The findings indicate that combining a gas sensor, such as volatile organic compounds or carbon dioxide, with a random forest or extreme gradient boosting regressor can accurately predict the day of spoilage. This provides a more accurate and cost-efficient alternative to current best-before date determination methods, reducing food waste, saving resources, and improving food safety by reducing the risk of consumers consuming spoiled food.}}, author = {{Wunderlich, Paul and Pauli, Daniel and Neumaier, Michael and Wisser, Stephanie and Danneel, Hans-Jürgen and Lohweg, Volker and Dörksen, Helene}}, booktitle = {{Foods}}, issn = {{2304-8158}}, keywords = {{Plant Science, Health Professions (miscellaneous), Health (social science), Microbiology, Food Science}}, number = {{6}}, publisher = {{MDPI }}, title = {{{Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors}}}, doi = {{10.3390/foods12061347}}, volume = {{12}}, year = {{2023}}, } @misc{13016, abstract = {{ZusammenfassungDie Möglichkeit zur Teilnahme an Online-Prüfungen ist generell bedingt durch die Stabilität und Geschwindigkeit der Internetverbindung der Prüfungsteilnehmer sowie die Zuverlässigkeit der Computer und Server, über welche die Prüfung bereitgestellt wird. Insbesondere bei großen Teilnehmerzahlen können hohe Serverlasten zu Beginn und Ende der Prüfung auftreten, wenn viele Teilnehmer zur selben Zeit größere Dateien herunter- oder hochladen. Im Folgenden wird eine Prüfungsmethode vorgestellt, die diese beiden Hürden für eine Prüfungsteilnahme reduziert. Hierbei sind die zu übertragenden Datenmengen gering, betragen insgesamt weniger als ein halbes Megabyte je Teilnehmer und müssen nur zu Beginn und Ende der Prüfung einmalig übermittelt werden. Die Prüfungsmethode eignet sich insbesondere für Programmierprüfungen, ist aber auch für andere Fachgebiete anwendbar. Es stehen verschiedene Fragentypen zur Auswahl. Die Aufgaben werden zufällig auf die Teilnehmer verteilt, können lokal bearbeitet sowie anschließend größtenteils automatisiert korrigiert und ausgewertet werden.}}, author = {{Beckmann, Nils}}, booktitle = {{Informatik Spektrum}}, issn = {{0170-6012}}, keywords = {{Computer Science Applications, Information Systems}}, number = {{2}}, pages = {{104--111}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Automatisierte, randomisierte Online-Programmierprüfung mit geringem, kurzzeitigem Datenverkehr}}}, doi = {{10.1007/s00287-023-01534-y}}, volume = {{46}}, year = {{2023}}, } @misc{13017, abstract = {{The article presents the potentials and capacities of extracurricular activities such as student workshops for strengthening existing curricula and introducing emerging specialised areas, topics, and challenges into architectural higher education. The specific objective of this study is to enhance and test different pedagogical models for learning on the sustainable rehabilitation of mass housing neighbourhoods (MHN), as a specific type of modern heritage, through innovative extracurricular teaching practices based on interdisciplinarity, flexibility, and adaptability. This research presents three student workshops focusing on the rehabilitation of mass housing neighbourhoods (MHN), involving students, academics, and professionals from the field, organised in Germany, Serbia, and North Macedonia in 2022. Moreover, it engages a comparative analysis of the learning formats and approaches developed within this discipline-specific cross-border collaboration. The study provides (1) an insight into the comparative analysis of learning capabilities and (2) the formulation of workshop models supported by diagramming of the workshop structure. The conclusion of the article summarises the findings and highlights the essential aspects for engaging student workshops, as an instrument for generating operational knowledge in the field of mass housing rehabilitation.}}, author = {{Dragutinovic, Anica and Milovanovic, Aleksandra and Stojanovski, Mihajlo and Damjanovska, Tea and Đorđevic, Aleksandra and Nikezic, Ana and Pottgiesser, Uta and Ivanovska Deskova, Ana and Ivanovski, Jovan}}, booktitle = {{Sustainability}}, issn = {{2071-1050}}, keywords = {{extracurricular activities, extracurricular learning formats, student workshops, workshop models, pedagogical models, architectural higher education, mass housing neighbourhoods, sustainable rehabilitation}}, number = {{3}}, publisher = {{MDPI }}, title = {{{Approaching Extracurricular Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher Education}}}, doi = {{10.3390/su15032476}}, volume = {{15}}, year = {{2023}}, } @misc{13018, abstract = {{Current societal challenges like climate change led to a general agreement that our cities need to become greener and our lifestyles more sustainable. This transformation of our daily living environments can also impact the prevalence of non-communicable diseases as a global disease burden of our time. These positive impacts of horizontal green spaces on human health are widely recognized. However, it is still unclear whether the same is true for green walls, as a promising nature-based solution for dense urban spaces which is increasingly applied. To date, the available research on green walls has not been systematically synthesized along the potential impact pathways of reducing environmental stressors (Mitigation), restoring capacities (Restoration), and promoting healthier behavior (Instoration). We conducted a systematic review of 30 reviews to synthesize available evidence on all three pathways and direct health outcomes, following the established strategies of PICOS and PRISMA. We assessed the review quality through AMSTAR. We found strong consistent evidence that green walls can mitigate urban heat island effects (daylight surface temperature: -0.3 °C to -31.9°, daylight air temperature: -0 °C to -8.7 °C), air pollution (PM2.5: -25% to -99%, PM10: -23% to -60%), and noise pollution (sound pressure level: -1dBA to -5dBA). We found some evidence for disaster risk reduction and restoration effects. There were no reviews on the instoration pathway or direct health outcomes. The underlying reviews rated low according to the AMSTAR checklist, which might limit our findings. We recognize a generally young research field and conclude that more in-field studies are needed in all pathways to better understand the relationship between green walls and health.}}, author = {{Cardinali, Marcel and Balderrama, Alvaro and Arztmann, Daniel and Pottgiesser, Uta}}, booktitle = {{Nature-Based Solutions}}, issn = {{2772-4115}}, keywords = {{Nature-based solutions, Green facades, Living walls, Health, Environmental risk factors, Well-being, Environmental comfort, Behavior}}, number = {{12}}, publisher = {{Elsevier }}, title = {{{Green walls and health: An umbrella review}}}, doi = {{10.1016/j.nbsj.2023.100070}}, volume = {{3}}, year = {{2023}}, } @misc{13019, abstract = {{The digital transformation of manufacturing companies is a huge driver of complexity in organizational structures and processes. Challenges such as an increasing number of variants, rapid changes in technology, and a multitude of interfaces between IT systems within companies require changed qualifications in the workforce. Employees lack a profound understanding of the added value that digitalization can bring to the company and themselves. To address these challenges, simulation games are a suitable approach. Simulation games are active learning methods that simulate real systems in an artificial environment. The goal is to give employees the opportunity to gain experience and make decisions without creating a pressure situation or endangering the real production system. This enables them to better understand, evaluate and design real systems. In order to make optimal use of simulation games in manufacturing companies, they should be customized to the company and its employees due to individual processes and structures. This paper presents a procedure model for designing a concept of individualized simulation games for manufacturing companies in the context of digitalization. It starts with the identification of requirements. Subsequently, the requirements of the individual elements are combined into a holistic simulation game. The piloting of the framework is presented using an example from industrial practice.}}, author = {{Machon, Fabian and Gabriel, Stefan and Latos, Benedikt and Holtkötter, Christoph and Lütkehoff, Ben and Asmar, Laban and Kühn, Dr. Arno and Dumitrescu, Prof. Dr. Roman}}, booktitle = {{Procedia CIRP}}, issn = {{2212-8271}}, keywords = {{industry 4.0, digitalization, digital transformation, simulation games, game-based learning, education, employee education, qualification}}, pages = {{1017--1022}}, publisher = {{Elsevier BV}}, title = {{{Design of individual simulation games in manufacturing companies for game-based learning}}}, doi = {{10.1016/j.procir.2023.03.145}}, volume = {{119}}, year = {{2023}}, } @misc{13020, abstract = {{Developing AI systems for automatic train operation (ATO) requires developers to have a deep understanding of the human tasks they are trying to replace. This paper fills this gap and translates the regulatory requirements from the context of German railways for the AI developer community. As a result, tasks such as train’s path monitoring for collision prediction, signal detection, door operation, etc. are identified. Based on this analysis, a functionally justified sensor setup with detailed configuration requirements is presented. This setup was also evaluated by a survey within the railway industry. The evaluated sensors include RGB/IR cameras, LIDARs, radars and ultrasonic sensors. Calculations and estimates for the evaluated sensors are presented graphically and included in this paper. However, the ultimate sensor setup is still a subject of research. The results of this paper also address the lack of training and test datasets for railway AI systems. It is proposed to acquire research datasets that will allow the training of domain adaptation algorithms to transform other datasets, thus increasing the number of available datasets. The sensor setup is also recommended for such research datasets.}}, author = {{Tagiew, Rustam and Leinhos, Dirk and von der Haar, Henrik and Klotz, Christian and Sprute, Dennis and Ziehn, Jens and Schmelter, Andreas and Witte, Stefan and Klasek, Pavel}}, booktitle = {{Discover Artificial Intelligence}}, issn = {{2731-0809}}, keywords = {{Automatic train operation, ATO, GoA3, GoA4, Perception, AI}}, number = {{1}}, publisher = {{Springer International Publishing }}, title = {{{Sensor system for development of perception systems for ATO}}}, doi = {{10.1007/s44163-023-00066-4}}, volume = {{3}}, year = {{2023}}, } @misc{13021, abstract = {{Natural ventilation in a building is an effective way to achieve acceptable indoor air quality. Ventilation dilutes contaminants such as bioeffluents generated by occupants, substances emitted from building materials, and the water vapor generated by occupants’ activities. In a building that requires heating and cooling, adequate ventilation is crucial to minimize energy consumption while maintaining healthy indoor air quality. However, measuring the actual magnitude of the natural ventilation rate, including infiltration through the building envelope and airflow through the building openings, is not always feasible. Although international and national standards suggested the required ventilation rates to maintain acceptable indoor air quality in buildings, they did not offer action plans to achieve or evaluate those design ventilation rates in buildings in use. In this study, the occupant-generated carbon dioxide (CO2) tracer gas decay method was applied to estimate the ventilation rates in an office room in Seoul, South Korea, from summer to winter. Using the method, real-time ventilation rates can be calculated by monitoring indoor and outdoor CO2 concentrations without injecting a tracer gas. For natural ventilation in the test room, 145 mm-diameter circular openings on the fixed glass were used. As a result, first, the indoor CO2 concentrations were used as an indicator to evaluate how much the indoor air quality deteriorated when all the windows were closed in an occupied office room compared to the international standards for indoor air quality. Moreover, we found out that the estimated ventilation rates varied depending on various environmental conditions, even with the same openings for natural ventilation. Considering the indoor and outdoor temperature differences and outdoor wind speeds as the main factors influencing the ventilation rates, we analyzed how they affected the ventilation rates in the different seasons of South Korea. When the wind speeds were calm, less than 2 m/s, the temperature difference played as a factor that influenced the estimated ventilation rates. On the other hand, when the temperature differences were low, less than 3 °C, the wind speed was the primary factor. This study raises awareness about the risk of poor indoor air quality in office rooms that could lead to health problems or unpleasant working environments. This study presents an example of estimating the ventilation rates in an existing building. By using the presented method, the ventilation rate in an existing building can be simply estimated while using the building as usual, and appropriate ventilation strategies for the building can be determined to maintain the desired indoor air quality.}}, author = {{Seol, Hyeonji and Arztmann, Daniel and Kim, Naree and Balderrama, Alvaro}}, booktitle = {{Sustainability}}, issn = {{2071-1050}}, keywords = {{Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction}}, number = {{13}}, publisher = {{MDPI}}, title = {{{Estimation of Natural Ventilation Rates in an Office Room with 145 mm-Diameter Circular Openings Using the Occupant-Generated Tracer-Gas Method}}}, doi = {{10.3390/su15139892}}, volume = {{15}}, year = {{2023}}, } @misc{13070, abstract = {{Das inIT der TH OWL hat sich auch in den Jahren 2021 und 2022 in einer Zeit starken gesellschaftlichen Wandels hervorragend positioniert. Dabei wurde die Ausrichtung auf die Intelligente Automation weiter geschärft, ohne die technologische Basis der industriellen Informations- und Kommunikationstechnologien, wie sie das inIT definiert, zu verlassen.}}, author = {{Lohweg, Volker and Röcker, Carsten}}, pages = {{232}}, publisher = {{Technische Hochschule Ostwestfalen-Lippe}}, title = {{{Institut für industrielle Informationstechnik / Institute Industrial IT : Jahresbericht 2021 - 2022}}}, year = {{2023}}, } @book{13134, author = {{Rief, Stefan and Vetter, Andreas}}, isbn = {{978-3-7667-2612-4}}, keywords = {{Best Workspaces, Preisträger, Geschichte 2023}}, pages = {{368}}, publisher = {{Callwey}}, title = {{{Best Workspaces}}}, year = {{2023}}, }