@misc{13706,
  abstract     = {{Urban Nature-based Solutions (NBS) are hypothesized to play an important role in promoting health, but most of the evidence is cross-sectional. This study aims to examine the effects of an integrated urban intervention with NBS at its core, implemented in the Nantes Nord district on residents' physical activity, social activity, environmental quality of life and social network as well as self-rated health and mental health. Analysing 902 observations from 2 datasets, pre- and post-intervention, we categorized 802 participants within Nantes Nord as the treatment group and 100 from other districts as the control group. We used Propensity Score Matching to adjust for selection bias in the dataset and Difference-in-Differences analysis to evaluate changes in physical activity, socializing activities, social networks, environmental quality of life, as well as self-rated health and mental health outcomes. Our results indicate that the urban tranformation with NBS at its core was associated with a significant increase in physical activity levels and to some extent in social ties. However, no immediate improvements were noticeable in socializing activities, environmental quality of life, or health outcomes, suggesting a latency in the broader effects of such interventions. This study underscores the immediate effects of the integrated NBS intervention on physical activity as a precursor to potentially more significant health benefits, which should be followed up with a more mid-to-long-term evaluation of such NBS interventions. Our findings advocate for the integration of connected green space corridors in urban planning to facilitate active lifestyles as sustainable commitments by local authorities and stakeholders.}},
  author       = {{Cardinali, Marcel and Fleury-Bahi, Ghozlane and Sapin, Arnaud and Bodénan, Philippe and Bechet, Beatrice and Petrova, Milena Tasheva and Burov, Angel and Ferilli, Guido}},
  booktitle    = {{Quick And Easy Journal Title}},
  keywords     = {{NBS, green space, Health, urban transformation, Impact Assessment, Propensity, Score Matching}},
  pages        = {{In Press, Journal Pre--proof}},
  publisher    = {{Elsevier}},
  title        = {{{Evaluation of an Urban Nature-Based Solutions Intervention on Health-Related Indicators: A Propensity Score Matching and Difference-in- Differences Study in Nantes Nord}}},
  doi          = {{https://doi.org/10.1016/j.ufug.2026.129465}},
  year         = {{2026}},
}

@misc{11409,
  abstract     = {{The current era, characterized by rapid digitalization, globalization and environmental issues, poses unique challenges and opportunities for both the educational sector and professional development. Increasingly, the research community calls for future-oriented skills as well as attitudes and values as underlying implicit concepts in order to meet the needs of today’s complex demands. These skills and implicit concepts include responsibility, inclusiveness, reflexivity, anticipation, data literacy or digital and interdisciplinary working. Some of them are based on facts and are therefore teachable, while others seem to be a matter of personal attitude and socialization and are therefore difficult to convey. In this paper we suggest educators to change their specialized knowledge-teaching settings into transdisciplinary learning contexts [1] and thus enabling transformative, situated, experiential and informal learning. We provide theoretical examples in which these didactic methodologies seem to be effective in order to impart these skills and reinforce the underlying implicit concepts. We will dive deeper into these arguments during the conference, while participants are encouraged to discuss the various elements that influence the concepts in the context of transdisciplinary learning. (DIPF/Orig.); Die heutige Zeit, die durch eine rasante Digitalisierung, Globalisierung und Umweltprobleme gekennzeichnet ist, stellt sowohl den Bildungssektor als auch die berufliche Entwicklung vor einzigartige Herausforderungen und Chancen. In der Forschung werden zunehmend zukunftsorientierte Fähigkeiten sowie Einstellungen und Werte als zugrundeliegende implizite Konzepte gefordert, um den komplexen Anforderungen von heute gerecht zu werden. Zu diesen Fähigkeiten und impliziten Konzepten gehören Verantwortungsbewusstsein, Inklusivität, Reflexivität, Antizipation, Datenkompetenz oder digitales und interdisziplinäres Arbeiten. Einige von ihnen basieren auf Fakten und sind daher lehrbar, während andere eine Frage der persönlichen Einstellung und Sozialisation zu sein scheinen und daher schwer zu vermitteln sind. In diesem Beitrag schlagen wir Pädagogen vor, ihre spezialisierten Wissenslehrsettings in transdisziplinäre Lernkontexte [1] zu verwandeln und so transformatives, situiertes, erfahrungsbasiertes und informelles Lernen zu ermöglichen. Wir stellen theoretische Beispiele vor, in denen diese didaktischen Methoden effektiv zu sein scheinen, um diese Fähigkeiten zu vermitteln und die zugrunde liegenden impliziten Konzepte zu stärken. Wir werden diese Argumente während der Konferenz vertiefen, während die Teilnehmer aufgefordert sind, die verschiedenen Elemente zu diskutieren, die die Konzepte im Kontext des transdisziplinären Lernens beeinflussen. (Autor)}},
  author       = {{Alavi, Marie and Schmohl, Tobias}},
  booktitle    = {{Conference proceedings. 13th international conference "The future of education". Hybrid edition, 29-30 June 2023}},
  isbn         = {{979-12-80225-59-7}},
  issn         = {{2384-9509}},
  keywords     = {{Transformation, Lernen, Methodologie, Interdisziplinarität, Informelles Lernen, Lebenslanges Lernen, Hochschulbildung, Zukunftsorientierung, Kompetenz, Learning, Methodology, Interdisciplinarity, Informal learning, Life long learning, Life-long learning, Lifelong learning, Higher education, University level of education, Future orientation, Competency}},
  location     = {{Bologna}},
  pages        = {{5 S.}},
  publisher    = {{Filodiritto Editore}},
  title        = {{{Transformative learning. Methodological and conceptual prerequisites for future-oriented skill-building}}},
  doi          = {{https://doi.org/10.25656/01:27907}},
  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{13372,
  abstract     = {{This bachelor thesis explores the adaptive reuse of the former Telekom high-rise at Kesselbrink in Bielefeld, a vacant modernist office tower awaiting new purpose. The project proposes a mixed-use transformation that reinterprets the building as a “city within the city,” inspired by Le Corbusier’s Unité d’Habitation in Marseille. The existing structure is strategically reduced to its essential load-bearing concrete frame and floor slabs, preserving the structural skeleton while enabling radical spatial reconfiguration.
Prefabricated timber modules are inserted and cantilevered between the reinforced-concrete columns, extending the usable floor area and introducing a warm, contemporary material contrast to the original façade. This intervention not only increases density and flexibility but also redefines the tower’s appearance, giving it a cosmopolitan and forward-looking architectural identity. The ground floor is conceived as an open and publicly accessible urban platform, activating the surrounding plaza and strengthening social interaction. Upper floors are redesigned as affordable and attractive living spaces for young residents, encouraging a diverse and vibrant community within the building.
A newly designed park-like rooftop landscape provides recreational space and panoramic views over the city, enhancing environmental quality and urban connectivity. By combining structural preservation, modular timber construction, public programming, and residential reuse, the proposal demonstrates how high-rise retrofitting can generate social, ecological, and economic value simultaneously. The project positions adaptive reuse as a viable strategy for sustainable urban regeneration and architectural longevity.}},
  author       = {{Konschake, Leon}},
  keywords     = {{Adaptive Reuse, Mixed-Use Development, High-Rise Transformation, City within the City, Modular Timber Construction, Prefabrication, Structural Preservation, Concrete Skeleton, Cantilevered Modules, Urban Regeneration, Public Ground Floor, Youth Housing, Rooftop Landscape, Sustainability, Social Impact, Ecological Design, Economic Viability, Cosmopolitan Architecture}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{TreeTower}}},
  year         = {{2020}},
}

@inproceedings{1911,
  abstract     = {{Reading about small and medium-sized manufacturing companies in newspapers and magazines, one might get the impression that integrating and exploiting new digital technologies is one of the most urgent challenges for managers today. Although many different industry 4.0 and Internet of Things (IoT) tests have been published, a framework to structure the content and the process of digital transformation is missing. Therefore, comprehensive research of available literature has been implemented; the results show that the framework from Appelfeller and Feldmann is the most suitable for application in companies. Due to the fact that the authors present no acquired experience in the application of the framework in practice, an evaluation study was set up in companies. The results of a case study are presented and an overview is given how to implement this specific check in a company.}},
  author       = {{Tackenberg, Sven and Jungkind, Wilfried and Feldmann, C. and Appelfeller, W.}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Padoano, Elio and Villmer, Franz-Josef}},
  keywords     = {{Digital transformation, Maturity model, Check}},
  location     = {{Trieste, Italy}},
  pages        = {{281--290}},
  title        = {{{Digital Transformation of Companies: Experience gained in the Implementation of an IOT Check}}},
  year         = {{2019}},
}

@inproceedings{238,
  abstract     = {{In future, advancing digitalization will entail extensive change for businesses. To date, there are only sporadically implemented examples of Smart Factories and these are rather technically (specifically information technology) oriented. Phoenix Contact therefore decided to use a tailor-made approach to implement the digital transition towards becoming a Smart Factory. With the participation of the senior management affected, other internal support areas and the works council, an image of the future for the  Smart Factory was developed. Based on the main future processes the appropriate organizational structure was selected and all participants could now be trained in the performance of new tasks. In addition, this allows for technological concepts to be chosen and judiciously incorporated in further stages. In this paper, the “SmartOrg@Combicon” project will be illustrated as the initial phase in the course of Smart Factory implementation.
}},
  author       = {{Dobrzanski, P. and Jungkind, Wilfried}},
  booktitle    = {{Production engineering and management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-03-0}},
  keywords     = {{Industry  4.0, Smart  Factory, Digital  transformation, Staff  and  organizational development}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{147--158}},
  title        = {{{Human Resources and Organizational Development in the Context of Industry 4.0}}},
  year         = {{2018}},
}

@article{2012,
  abstract     = {{The rapid growth of optical imaging technologies increased the access and collection of data, which boosts the demand of data and knowledge discovery. This is a fast growing topic in several industry and research areas. Nowadays, a large number of images and signals must be analysed in order to gain and learn proper knowledge. Detecting images with similar contents without specifying an image, recently attracts the researches in image processing domain. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods solve this problem by converting images into one dimensional time series in a pre-processing step and then applying a motif discovery on these one dimensional time series for image motifs detection. Nevertheless, this conversion might lead to information loss and also the problem of inability to discover shifted and multi-scale image motifs of different size. Contrary to other approaches, here, a method is proposed to find image motifs of different size in image data sets by employing images in original dimension (2D) without converting them to one dimensional time series.
The proposed approach consists of three steps: Mapping or transformation, feature extraction and measuring similarities. First, images are inspected by the Complex Quad Tree Wavelet Packet transform, which provides broad frequency analysis of an image in various scales. Next, statistical features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features applying various similarity measures. Here, the performance of six similarity measures are benchmarked in details. Moreover, the efficiency of the proposed method is demonstrated on a data set with images from diverse applications such as hand gesture, text recognition, leaf and plant identification, etc. Additionally, the robustness of this method is examined with the image data overlaying with distortions such as noise and blur.}},
  author       = {{Deppe, Sahar and Lohweg, Volker}},
  issn         = {{1942-2679}},
  journal      = {{International Journal On Advances in Intelligent Systems}},
  keywords     = {{processing, Wavelet transformation.}},
  number       = {{3/4}},
  pages        = {{434 -- 446}},
  publisher    = {{IARIA Journals}},
  title        = {{{Evaluation of Similarity Measures for Shift-Invariant Image Motif Discovery}}},
  volume       = {{10}},
  year         = {{2017}},
}

@inproceedings{2022,
  abstract     = {{Nowadays, the boost of optical imaging technologies results in more data with a faster rate are being collected. Consequently, data and knowledge discovery science has become an attractive and a fast growing topic in several industry and research area. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods first convert images into time series and then attempt to find motifs in such data. This might lead to information loss and also the problem of inability to detect shifted and multi-scale image motifs  of different size. Here, a method is proposed to find image motifs of different size in image datasets by applying images in original dimension without converting them to time series. Images are inspected by the Complex Quad Tree Wavelet Packet transform which provides broad frequency analysis of an image in various scales. Next, features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features. The performance of the proposed method is demonstrated on a dataset with images from diverse applications, such as hand gesture, text recognition, leaf and plant identification, etc. }},
  author       = {{Deppe, Sahar and Lohweg, Volker}},
  booktitle    = {{PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications}},
  editor       = {{Leister, Wolfgang}},
  issn         = {{2308-3700}},
  keywords     = {{Motif discovery, Image processing, Wavelet transformation}},
  location     = {{Venice, Italy }},
  pages        = {{27--32}},
  publisher    = {{The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing}},
  title        = {{{Shift-Invariant Motif Discovery in Image Processing 'Best Paper Award'}}},
  year         = {{2017}},
}

@phdthesis{2053,
  abstract     = {{In vielen Bereichen der ein- und zweidimensionalen Signalverarbeitung besteht die Aufgabe Signale oder Objekte unabhängig von ihren aktuellen Positionen mittels geeigneter Merkmale zu klassifizieren. Mit Hilfe schneller nichtlinearer Spektraltransformationen ist eine positionsinvariante Merkmalgewinnung möglich. In dieser Arbeit werden reelle Transformationen vorgestellt, deren Eigenschaften in Bezug auf verschiedene Parameter angepasst werden können. Zu nennen ist das gruppeninvariante Verhalten, der rechentechnische Aufwand und die Implementierbarkeit in applikationsspezifische Schaltungen. Durch unterschiedliche Berechnungsstrukturen kann beispielsweise die Separationseigenschaft aufgabengemäß adaptiert werden. Basierend auf dem Konzept charakteristischer Matrizen wird ein generalisiertes Verfahren zur Berechnung der Transformationen abgeleitet. Bezüglich ihrer Charakteristika können die vorzustellenden Transformationen gegenüber anderen als ebenbürtig oder sogar überlegen bezeichnet werden. In Kombination mit einem Fuzzy-Klassifikationsverfahren (Fuzzy-Pattern-Classification, FPC) wird ein System-On-Programmable-Chip Mustererkennungssystem entwickelt, das auf einem programmierbaren applikationsspezifischen Schaltkreis (FPGA) implementiert wird. Das System ist in der Lage pixel-basierende Bilder zu klassifizieren. In der Anwendung der Druckbildinspektion erweist sich das Mustererkennungssystem als praxisgerecht einsetzbar.}},
  author       = {{Lohweg, Volker}},
  keywords     = {{ASIC, Abbildungseigenschaft, Druckbildkontrolle, Prozessorelement, Systolisches Array, Fuzzy-Maß, Invarianz, Klassifikation, Mehrdimensionale Bildverarbeitung, Mustererkennung, Nichtlineare Transformation}},
  pages        = {{207}},
  publisher    = {{Technische Universität Chemnitz}},
  title        = {{{Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise}}},
  year         = {{2003}},
}

@inproceedings{2048,
  abstract     = {{Mit Hilfe schneller nichtlinearer Spektraltransformationen ist eine translationsinvariante Merkmalgewinnung möglich. Basierend auf dem Konzept der charakteristischen Matrizen wird ein generalisiertes Verfahren zur Berechnung von Zirkulartransformationen vorgestellt. Durch unterschiedliche Berechnungsstrukturen können die Trenneigenschaften aufgabenspezifisch verändert werden. Die in dieser Arbeit vorgestellten Zirkulartransformationen sind in den praktisch erprobten Trenneigenschaften denen der bekannten CT-Transformation und dem Betragsspektrum der Fourier-Transformation überlegen. Dabei werden keine schwach kommutativen Abbildungen im Eingang benötigt. Anhand von Beispielen wird das Verhalten der Zirkulartransformation demonstriert.}},
  author       = {{Lohweg, Volker and Müller, Dietmar}},
  booktitle    = {{Mustererkennung 2000 - 22. DAGM-Symposium}},
  editor       = {{Sommer, Gerald}},
  isbn         = {{978-3-540-67886-1}},
  keywords     = {{Translationsinvariante Transformation, Mustererkennung, Betragsspektrum, Zirkulartransformation}},
  pages        = {{213--220}},
  publisher    = {{Springer-Verlag}},
  title        = {{{Ein generalisiertes Verfahren zur Berechnung von translationsinvarianten Zirkulartransformationen für die Anwendung in der Signal- und Bildverarbeitung}}},
  doi          = {{https://doi.org/10.1007/978-3-642-59802-9_27}},
  year         = {{2000}},
}

