Open Access
Refine
Year of publication
Document Type
- Article (156)
- Bachelor Thesis (146)
- Conference Proceeding (104)
- Report (31)
- Master's Thesis (22)
- Doctoral Thesis (11)
- Other (3)
- Patent (1)
Keywords
- Augenoptik (12)
- virtual reality (9)
- Abschlussarbeit (7)
- Augenoptiker (7)
- Studie (6)
- Hörgerät (5)
- Bachelorarbeit A/H (4)
- Business Process Management Systems (4)
- Fuzzy Logic (4)
- Kontaktlinse (4)
- visualization (4)
- Kontaktlinsen (3)
- Myopia (3)
- Verbraucherzufriedenheit (3)
- Assignment Automation (2)
- Augmented Reality (2)
- Business Process Modeling Notation (2)
- Digitalisierung (2)
- FrACT (2)
- Git (2)
- Landoltring (2)
- Leitfaden (2)
- Marketing (2)
- Myopieprogression (2)
- Nachhaltigkeit (2)
- Optometrie (2)
- Optometrist (2)
- Orthokeratologie (2)
- Pentacam® (2)
- Scheimpflug technology (2)
- Scheimpflugkamera (2)
- Schwerhörigkeit (2)
- Sehschärfe (2)
- Sehtest (2)
- Studium (2)
- Systems Modeling Language (SysML) (2)
- Umfrage (2)
- Visus (2)
- artificial neural networks (2)
- limbal sclera contour (2)
- machine learning (2)
- software configuration management (2)
- software design pattern detection (2)
- software engineering (2)
- systems engineering (2)
- systems modeling (2)
- version control systems (2)
- vorderer Augenabschnitt (2)
- 3D-Druck (1)
- 3D-Refraktion (1)
- AVATAR, Sehschärfenbestimmung, Computer (1)
- Aalener Schnell Satztest (1)
- Ablaufplan (1)
- Absolventen (1)
- Absolventenbefragung (1)
- Adjustment Process (1)
- Affliliate Marketing (1)
- Agency Theory (1)
- Alumnibefragung (1)
- Animation (1)
- Anleitung (1)
- Arbeitszufriedenheit (1)
- Argentina (1)
- Argentinien (1)
- Artificial Intelligence (1)
- Atropin (1)
- Augenlänge (1)
- Augenoptik-Branche (1)
- Augenoptikerbetrieb (1)
- Augenoptikgeschäft (1)
- Augenoptikmarkt (1)
- Ausbildung (1)
- Bachelorarbeit A (1)
- Bachelorarbeit KMU (1)
- Bank (1)
- Befragung (1)
- Beratungspsychologie (1)
- Beratungsstelle Aalen (1)
- Big Data (1)
- Binokularstörung; Hess-Schirm Test; PC-Hess Screen (1)
- Blog (1)
- Brillenfassung, UV-Durchlässigkeit (1)
- Broschüre (1)
- Business Process Modelling (1)
- Chemische Analyse (1)
- Chirp-Bera (1)
- Choroidal thickness (1)
- City Development (1)
- Cochlear Implantat (1)
- Comparison metrics (1)
- Content Marketing (1)
- Corporate Governance (1)
- Cross-Cultural Training (1)
- Cultural Heritage Marketing (1)
- DDC 620 (1)
- Deflektometrie (1)
- Defocus (1)
- Deinstleistung (1)
- Deutscher Corporate Governance Kodex (1)
- Deutschland / Augenoptiker-Ausbildungsverordnung (1)
- Dienstleistungsangebot (1)
- Diffusion (1)
- Digitization (1)
- Diskontinuität der ägyptischen Revolution (1)
- Diversity Marketing (1)
- Drop-Out-Quote (1)
- ETDRS (1)
- ETDRS-Tafeln (1)
- EVA (1)
- EXPEDIT (1)
- Edge Detection (1)
- Einfluss mechanischer Spannungen (1)
- Einheitlichkeit (1)
- Eisenverlust (1)
- Elektroband (1)
- Elektroblech (1)
- Engineering & allied operations (1)
- Englischtest; Online (1)
- Enke-Platte (1)
- Entwicklungsländer (1)
- Erblindung (1)
- Erfolgsfaktorenforschung (1)
- Erwerbstätigkeit (1)
- Ethik (1)
- Europäische Union (1)
- Exoskelett (1)
- Eye tracking (1)
- Finanzfunktion (1)
- Finanzkrise (1)
- Fixation (1)
- Food (1)
- Fragebogen (1)
- Freiburger Sprachtest; Fragebogen; Einsilber Sprachtest (1)
- Freizeitmusik (1)
- Funktionaloptometrie (1)
- Fusionstrainer (1)
- Game-Based Learning (1)
- German Corporate Governance Code (1)
- Germany (1)
- Geschlechterrollen (1)
- Geschäftsmodell (1)
- Gleichgewichtsstabilität (1)
- Gleitsichtbrille (1)
- Gleitsichtgläser (1)
- Grenzfrequenz (1)
- Heißluftgerät; Temperaturprofil (1)
- Hell-Dunkel-Wahrnehmung (1)
- High-End-Hörsystem (1)
- Höranstrengung (1)
- Hörfähigkeit (1)
- Hörfähigkeit malawischer Schüler; Alter 10-24 Jahre (1)
- Hörgerätverifikation (1)
- Hörgeschädigt; Hörgerät; NAL-NL2 Formel; DSL v5.0 Formel (1)
- Hörorgan (1)
- Hörqualität (1)
- Hörschädigung (1)
- Hörsystem (1)
- Hörsysteme (1)
- Hörtraining (1)
- IKEA (1)
- IOL Master 500 (1)
- Impulsschall (1)
- Inbound-Marketing (1)
- Indusrie 4.0 (1)
- Industrial Culture (1)
- Industrial Heritage (1)
- Inklusion (1)
- Intellektuelles Kapital (1)
- Inter-Test Reliabilität (1)
- Interview (1)
- Islamistischer Einfluss (1)
- KI (1)
- Kalkulation (1)
- Kameramessung (1)
- Kampimetrie (1)
- Kantendetektion (1)
- Kapitalgesellschaft (1)
- Kaufrecht (1)
- Keratokonus (1)
- Kind (1)
- Kinder (1)
- Kommunikationstraining (1)
- Kontaktlinsen-Service-System (1)
- Kontaktlinsensprechstunde (1)
- Kostenakzeptanz (1)
- Kreislaufwirtschaft (1)
- Kreuzzylinder (1)
- Kundengruppen (1)
- Kupplung (1)
- Lehrmethoden (1)
- Leistungssteigerung (1)
- Lerninhalt (1)
- Lernsoftware (1)
- Lernvideo, Verkaufsgespräch (1)
- Lernvideo, e-Learning, Leitfaden (1)
- Leuchtdichte Homogenität (1)
- Leuchtdichte, Radiospektrometer, Kalibrierung, Spiegelreflexkamera (1)
- Leuchtdichteverteilung (1)
- Lieferverkehr (1)
- Lions Club (1)
- Low-End-Hörsystem (1)
- Lärm (1)
- MATLAB (1)
- MATLAB; e-Learning-Plattform; Bachelorstudiengang (1)
- MVA (1)
- Magic-Audiometer (1)
- Magnetismus (1)
- Marketingkonzept (1)
- Marokko (1)
- Massenspektrometrie (1)
- Master Vision Science and Business (1)
- Masterarbeit AO (1)
- Materialeigenschaften (1)
- Mechanische Spannung (1)
- Messgerät, Brillengläser, Rotationszentrum, Auge (1)
- Messmethode (1)
- Messsystem (1)
- Messtechnik (1)
- Messung von Kundenzufriedenheit (1)
- Multifocal contact lenses (1)
- Multivariate Analyse (1)
- Multivariate Statistik (1)
- Mundell-Fleming Modell (1)
- Musikverein (1)
- Mustererkennung (1)
- Myopia Control (1)
- Myopie Kontrolle (1)
- Myopiekontrolle (1)
- Myopiemanagement (1)
- National/Organizational Culture (1)
- Neue Medien (1)
- Nintendo Wii; geschlechtsspezifisches Gleichgewicht (1)
- Ohrmodell (1)
- Omnichannel (1)
- Online-Distribution (1)
- Online-Shop (1)
- Online-Shop Systeme (1)
- Onlineportal (1)
- Operation (1)
- Optotypen (1)
- Orthokeratology (1)
- Perimetrie (1)
- Perspektiven des ägyptischen Marktes (1)
- Politik (1)
- Politische Entwicklung Ägyptens (1)
- Premiummarken (1)
- Primary Eye Care Provider (1)
- Printformat (1)
- Psychophysik (1)
- Pull-Marketing (1)
- RCS (1)
- Race Conditions (1)
- Ratgeber (1)
- Re- source Assignment Automation (1)
- Reaktivierung (1)
- Refraktionsbestimmung (1)
- Resource Allocation Algorithms (1)
- Resource Assignment Automation (1)
- Retest-Reliabilität (1)
- Retinopathia pigmentosa (1)
- Revolution (1)
- Risikoadjustierung (1)
- Risikoanalyse (1)
- Rotationsprinzip; Leistungssteigerung (1)
- Ruheständler (1)
- Rule Engines (1)
- SNR-Verhältnis (1)
- SWOT-Analyse (1)
- Satztest (1)
- Scanpath (1)
- Schalleigenschaft (1)
- Schnittkanteneinfluss (1)
- Schnittstellen (1)
- Schule (1)
- Screening (1)
- Sehen im Sport (1)
- Sehhilfe (1)
- Sehilfen (1)
- Senioren (1)
- Service (1)
- Share Repurchase (1)
- Sicherheitskupplung (1)
- Six Sigma (1)
- Social Media (1)
- Sphärisches Äquivalent (1)
- Spieleindustrie (1)
- Sportoptometrie (1)
- Sprachtest (1)
- Sri Lanka (1)
- Staff Assignment Algorithms (1)
- Stimmen; Attraktivitätsbewertung (1)
- Storytelling (1)
- Strategic analysis (1)
- Strategie, Unternehmensführung, AMVO, VaKE (1)
- Strategische Analyse (1)
- Streifenprojektion (1)
- Streifenprojektionsgerät (1)
- Studiengang Augenoptik (1)
- Studiengang Augenoptik und Hörakustik (1)
- Störgeräusch (1)
- T-Cut; Operation; Patientenzufriedenheit (1)
- TOCTOU (1)
- Technikfolgenabschätzung (1)
- Tiefeninterview (1)
- Tieftonkompression (1)
- Tobin´s Q (1)
- Tolerance of blur, PAL`s, Astigmatism, Blurtest, Pretest (1)
- UN-Kaufrecht (CISG) (1)
- Umsatzsteuer (1)
- Umweltanalyse (1)
- Undervaluation (1)
- United Nations Convention on Contract for the international Sale of Goods (CISG) (1)
- Unschärfetoleranz , Gleitsichtgläser, Astigmatismus , Blurtest, Pretest (1)
- Unternehmensbewertung (1)
- Unternehmenserfolg (1)
- Unternehmensführung (1)
- Unverträglichkeit (1)
- Unzufriedenheit (1)
- Usability (1)
- Verbraucherberatung (1)
- Verkauf (1)
- Verlaufskontrolle; elektrophysiologisches Verfahren (1)
- Versorgungskapazität (1)
- VertiGuard-System (1)
- Vertrieb (1)
- Visual search (1)
- Vorderkammertiefe (1)
- Wahlpflichtmodul; internationale Optometrie (1)
- Web 2.0 (1)
- Web Application Security Testing (1)
- Weblog (1)
- Webportal (1)
- Webseite (1)
- Weinanalytik (1)
- Werbekampagne ZVA (1)
- Wertorientierung (1)
- Wirtschaftskrise (1)
- World Wide Web 2.0 (1)
- Zufriedenheitsmessung (1)
- Zyklofusionstest (1)
- albinism (1)
- artificial consciousness (1)
- artificial intelligence (1)
- augenoptischer Betrieb (1)
- augmented virtuality (1)
- automatical telephone audiometry, hearing aid fitting (1)
- automatisierter Telefonhörtest, Hörgeräteanpassung (1)
- automotive supplier (1)
- autonome Auslegung (1)
- autonomous interpretation (1)
- berufliche Perspektiven (1)
- blindness (1)
- business process management (1)
- business process mining (1)
- care capacity (1)
- code coverage (1)
- contact lens-induced papillary conjuctivitis CLPC (1)
- corneal cross linking (1)
- customized (1)
- cyber-physische Systeme (1)
- data pipelines (1)
- data stream processing (1)
- demografischer Wandel (1)
- deutsche Spitzengastronomie (1)
- digitaler Zwilling (1)
- doppelstöckige Personengesellschaften (1)
- dänische Richtlinien (1)
- economic crisis (1)
- electric vehicle (1)
- empirische Untersuchung (1)
- empirische Untersuchung; Kontaktlinsen; Kundenzufriedenheit (1)
- environmental analysis (1)
- erfolgreiches Geschäftsmodell, optometrische Dienstleistungen, Wettbewerb (1)
- event stream processing (1)
- event-driven architecture (1)
- follicular-like conjunctivitis associated with siliconhydrogels FoCoSi (1)
- fundamental breach (1)
- gender roles (1)
- genes (1)
- giant papillary conjuctivitis GPC (1)
- graph analysis (1)
- graph embeddings (1)
- grenzüberschreitender Leistungsverkehr (1)
- grenzüberschreitender Lieferverkehr (1)
- hybrid vehicle (1)
- i.Profiler (1)
- integrated development environments (1)
- internationale Schwerhörigenhilfe (1)
- internationaler Währungsfond (1)
- künstliche Intelligenz (1)
- learning videos, e-learning, guideline (1)
- low vision (1)
- luminance distribution (1)
- luminance homogeneity (1)
- luminance, radio spectrometer, calibration, reflex-camera (1)
- measuring device, ophthalmic lenses, center of rotation, eye (1)
- melanin (1)
- mixed reality (1)
- monokulare Refraktionsbestimmung (1)
- myopia management (1)
- optisches Phänomen (1)
- optometric and optical companies (1)
- optometrische Dienstleistungen (1)
- peripheral myopic defocus (1)
- powertrain (1)
- proaktive Ansprache (1)
- process analysis (1)
- process mining (1)
- psychophysics (1)
- repeatability (1)
- reproduzierbare Impulsschallquelle; Dosimeterprojekt (1)
- requirements traceability (1)
- rule-based expert system (1)
- soft multifocal contact lens (1)
- software requirements traceability (1)
- software test coverage (1)
- software test traceability (1)
- software testing (1)
- software verification and validation (1)
- specialty coffee (1)
- stereoacuity threshold (1)
- stereopsis (1)
- stereotest (1)
- strategy, management, AMVO, VaKE (1)
- studentische Kontaktlinsensprechstunde (1)
- subjektive Refraktionen (1)
- successful business-model, optometrical service, competition (1)
- sustainability (1)
- two-rod test (1)
- uniformity (1)
- vision therapy (1)
- visual acuity (1)
- web-based Marketing (1)
- wesentliche Vertragsverletzung (1)
- winIPRO (1)
- Ägypten (1)
- Übereinkommen über Verträge über den internationalen Warenkauf (1)
- Überlastschutz (1)
Institute
- Optik und Mechatronik (131)
- Wirtschaftswissenschaften (122)
- Maschinenbau und Werkstofftechnik (81)
- Augenoptik und Hörakustik (43)
- Elektronik und Informatik (42)
- Internationale Betriebswirtschaft (18)
- Chemie (12)
- Maschinenbau/Fertigungstechnik (2)
- Informatik (1)
- Mechatronik (1)
Soft magnetic Fe-Al alloys have been a subject of research in the past. However, they never saw the same reception in technical applications as the Fe-Si or Fe-Ni alloys, which is, to some extent, due to a low ductility level and difficulties in manufacturing. Additive manufacturing (AM) technology could be a way to avoid issues in conventional manufacturing and produce soft magnetic components from these alloys, as has already been shown with similarly brittle Fe-Si alloys. While AM has already been applied to certain Fe-Al alloys, no magnetic properties of AM Fe-Al alloys have been reported in the literature so far. Therefore, in this work, a Fe-12Al alloy was additively manufactured through laser powder bed fusion (L-PBF) and characterized regarding its microstructure and magnetic properties. A comparison was made with the materials produced by casting and rolling, prepared from melts with an identical chemical composition. In order to improve the magnetic properties, a heat treatment at a higher temperature (1300 °C) than typically applied for conventionally manufactured materials (850–1150 °C) is proposed for the AM material. The specially heat-treated AM material reached values (HC: 11.3 A/m; µmax: 13.1 × 103) that were close to the heat-treated cast material (HC: 12.4 A/m; µmax: 20.3 × 103). While the DC magnetic values of hot- and cold-rolled materials (HC: 3.2 to 4.1 A/m; µmax: 36.6 to 40.4 × 103) were not met, the AM material actually showed fewer losses than the rolled material under AC conditions. One explanation for this effect can be domain refinement effects. This study shows that it is possible to additively manufacture Fe-Al alloys with good soft magnetic behavior. With optimized manufacturing and post-processing, further improvements of the magnetic properties of AM L-PBF Fe-12Al may still be possible.
Based on a data-driven approach, a computer-assisted workflow for the quantitative analysis of optical Kerr microscopy images of sintered FeNdB-type permanent magnets was developed. By analyzing the domain patterns visible in the Kerr image with data-driven approaches such as traditional machine learning and advanced deep learning, we can quantify grain orientation and size with a better trade-off between accuracy and higher throughput than electron backscatter diffraction (EBSD). The key distinction between traditional machine learning and advanced deep learning lies in feature extraction. Traditional methods require manual, user-dependent feature extraction from input data, while advanced deep learning achieves this automatically. The predictions from the trained models were compared to the measurements from EBSD for performance evaluation. The proposed data-driven model is trained on the dataset created from the correlative microscopy technique, which requires the images of grains extracted from the Kerr microscopy and corresponding EBSD grain orientation data (Euler angles). The fine-tuned deep learning model shows better generalization ability than the traditional machine learning models trained on the manually extracted features and resulted in a mean absolute error of less than 5° for grain orientation of the anisotropic magnet samples when evaluated against the measured EBSD values. The developed approach has reduced the measurement effort for grain orientation by 5 times and have sufficient accuracy when compared to the EBSD.
In this study, we investigate the use of artificial neural networks as a potentially efficient method to determine the rate capability of electrodes for lithium-ion batteries with different porosities. The performance of a lithium-ion battery is, to a large extent, determined by the microstructure (i.e., layer thickness and porosity) of its electrodes. Tailoring the microstructure to a specific application is a crucial process in battery development. However, unravelling the complex correlations between microstructure and rate performance using either experiments or simulations is time-consuming and costly. Our approach provides a swift method for predicting the rate capability of battery electrodes by using machine learning on microstructural images of electrode cross-sections. We train multiple models in order to predict the specific capacity based on the batteries’ microstructure and investigate the decisive parts of the microstructure through the use of explainable artificial intelligence (XAI) methods. Our study shows that even comparably small neural network architectures are capable of providing state-of-the-art prediction results. In addition to this, our XAI studies demonstrate that the models are using understandable human features while ignoring present artefacts.
In the fast-growing but also highly competitive market of battery-powered power tools, cell-pack-cooling systems are of high importance, as they guarantee safety and short charging times. A simulation model of an 18 V power tool battery pack was developed to be able to evaluate four different pack-cooling systems (two heat-conductive polymers, one phase change material, and non-convective air as reference) in an application scenario of practical relevance (the intensive use of a power tool followed by cooling down and charging steps). The simulation comprises battery models of 21700 cells that are commercially available as well as heat transfer models. The study highlights the performance of the different cooling materials and their effect on the maximum pack temperature and total charging cycle time. Key material parameters and their influence on the battery pack temperature and temperature homogeneity are discussed. Using phase change materials and heat-conductive polymers, a significantly lower maximum temperature during discharge (up to 26%) and a high shortening potential of the use/charging cycle (up to 32%) were shown. In addition to the cooling material sweep, a parameter sweep was performed, varying the external temperature and air movement. The high importance of the conditions of use on the cooling system’s performance was illustrated.
Transformations in the work–nonwork interface highlight the importance of effectively managing the boundaries between life domains. However, do the ways individuals manage the boundaries between work and nonwork life change from one day to the next? If so, which antecedents may explain these intra-individual fluctuations in boundary management? Drawing on boundary management, spillover, and resource theories, we investigate daily changes in segmentation preferences and integration enactments as a function of experiencing strain in work and nonwork life. Assuming that changes in segmentation preferences reflect an individual’s strategy to regulate negative cross-role spillover, we suppose that strain increases individuals’ segmentation preferences; at the same time, however, it could force individuals to enact more integration.
Identification and quantitative segmentation of individual blood vessels in mice visualized with preclinical imaging techniques is a tedious, manual or semiautomated task that can require weeks of reviewing hundreds of levels of individual data sets. Preclinical imaging, such as micro-magnetic resonance imaging (μMRI) can produce tomographic datasets of murine vasculature across length scales and organs, which is of outmost importance to study tumor progression, angiogenesis, or vascular risk factors for diseases such as Alzheimer’s. Training a neural network capable of accurate segmentation results requires a sufficiently large amount of labelled data, which takes a long time to compile. Recently, several reasonably automated approaches have emerged in the preclinical context but still require significant manual input and are less accurate than the deep learning approach presented in this paper—quantified by the Dice score. In this work, the implementation of a shallow, three-dimensional U-Net architecture for the segmentation of vessels in murine brains is presented, which is (1) open-source, (2) can be achieved with a small dataset (in this work only 8 μMRI imaging stacks of mouse brains were available), and (3) requires only a small subset of labelled training data. The presented model is evaluated together with two post-processing methodologies using a cross-validation, which results in an average Dice score of 61.34% in its best setup. The results show, that the methodology is able to detect blood vessels faster and more reliably compared to state-of-the-art vesselness filters with an average Dice score of 43.88% for the used dataset.
VR-V&V
(2023)
To build quality into a software (SW) system necessitates supporting quality-related lifecycle activities during the software development. In software engineering, software Verification and Validation (V&V) processes constitute an inherent part of Software Quality Assurance (SQA) processes. A subset of the V&V activities involved are: 1) bidirectional traceability analysis of requirements to design model elements, and 2) software testing. Yet the complex nature of large SW systems and the dependencies involved in both design models and testing present a challenge to current V&V tools and methods regarding support for trace analysis. One of software’s essential challenges remains its invisibility, which also affects V&V activities. This paper contributes VR-V&V, a Virtual Reality (VR) solution concept towards supporting immersive V&V activities. By visualizing requirements, models, and testing artifacts with dependencies and trace relations immersively, they are intuitively accessible to a larger stakeholder audience such as SQA personnel while supporting digital cognition. Our prototype realization shows the feasibility of supporting immersive bidirectional traceability as well as immersive software test coverage and analysis. The evaluation results are based on a case study demonstrating its capabilities, in particular traceability support was performed with ReqIF, ArchiMate models, test results, test coverage, and test source to test target dependencies.
Software design patterns and the abstractions they offer can support developers and maintainers with program code comprehension. Yet manually-created pattern documentation within code or code-related assets, such as documents or models, can be unreliable, incomplete, and labor-intensive. While various Design Pattern Detection (DPD) techniques have been proposed, industrial adoption of automated DPD remains limited. This paper contributes a hybrid DPD solution approach that leverages a Bayesian network integrating developer expertise via rule-based micropatterns with our machine learning subsystem that utilizes graph embeddings. The prototype shows its feasibility, and the evaluation using three design patterns shows its potential for detecting both design patterns and variations.
VR-SysML+Traceability
(2023)
As systems grow in complexity, the interdisciplinary nature of systems engineering makes the visualization and comprehension of the underlying system models challenging for the various stakeholders. This, in turn, can affect validation and realization correctness. Furthermore, stakeholder collaboration is often hindered due to the lack of a common medium to access and convey these models, which are often partitioned across multiple 2D diagrams. This paper contributes VR-SysML, a solution concept for visualizing and interacting with Systems Modeling Language (SysML) models in Virtual Reality (VR). Our prototype realization shows its feasibility, and our evaluation results based on a case study shows its support for the various SysML diagram types in VR, cross-diagram element recognition via our Backplane Followers concept, and depicting further related (SysML and non-SysML) models side-by-side in VR.
VR-GitCity
(2023)
The increasing demand for software functionality necessitates an increasing amount of program source code that is retained and managed in version control systems, such as Git. As the number, size, and complexity of Git repositories increases, so does the number of collaborating developers, maintainers, and other stakeholders over a repository’s lifetime. In particular, visual limitations of command line or two- dimensional graphical Git tooling can hamper repository comprehension, analysis, and collaboration across one or multiple repositories when a larger stakeholder spectrum is involved. This is especially true for depicting repository evolution over time. This paper contributes VR-GitCity, a Virtual Reality (VR) solution concept for visualizing and interacting with Git repositories in VR. The evolution of the code base is depicted via a 3D treemap utilizing a city metaphor, while the commit history is visualized as vertical planes. Our prototype realization shows its feasibility, and our evaluation results based on a case study show its depiction, comprehension, analysis, and collaboration capabilities for evolution, branch, commit, and multi-repository analysis scenarios.
VR-EDStream+EDA
(2023)
With increasing digitalization, the importance of data and events, which comprise its most fundamental level, cannot be overemphasized. All types of organizations, including enterprises, business, government, manufacturing, and the supporting IT, are dependent on these fundamental building blocks. Thus, evidence-based comprehension and analysis of the underlying data and events, their stream processing, and correlation with enterprise events and activities becomes vital for an increasing set of (grassroot or citizen) stakeholders. Thus, further investigation of accessible alternatives to visually support analysis of data and events is needed. This paper contributes VR-EDStream+EDA, a solution for immersively visualizing and interacting with data and event streams or pipelines and generically visualizing Event-Driven Architecture (EDA) in Virtual Reality (VR). Our realization shows its feasibility, and a case-based evaluation provides insights into its capabilities.
The surface topography of biodegradable polymer foils is modified by mechanical imprinting on a submillimeter length scale. The created patterns strongly influence the wetting behavior and allow the preparation of hydrophobic surfaces with controlled solid-liquid interaction. A detailed analysis of anisotropic surface patterns reveals that the observed effect arises from a combination of topographical and compositional changes that are introduced to the surface. As a main result it is found that an individual combination of material and structure is required for the production of water-repellent biopolymer foils that are highly attractive for packaging applications.
Laser melting manufacturing of large elements of lunar regolith simulant for paving on the Moon
(2023)
The next steps for the expansion of the human presence in the solar system will be taken on the Moon. However, due to the low lunar gravity, the suspended dust generated when lunar rovers move across the lunar soil is a significant risk for lunar missions as it can affect the systems of the exploration vehicles. One solution to mitigate this problem is the construction of roads and landing pads on the Moon. In addition, to increase the sustainability of future lunar missions, in-situ resource utilization (ISRU) techniques must be developed. In this paper, the use of concentrated light for paving on the Moon by melting the lunar regolith is investigated. As a substitute of the concentrated sunlight, a high-power CO2 laser is used in the experiments. With this set-up, a maximum laser spot diameter of 100 mm can be achieved, which translates in high thicknesses of the consolidated layers. Furthermore, the lunar regolith simulant EAC-1A is used as a substitute of the actual lunar soil. At the end of the study, large samples (approximately 250 × 250 mm) with interlocking capabilities were fabricated by melting the lunar simulant with the laser directly on the powder bed. Large areas of lunar soil can be covered with these samples and serve as roads and landing pads, decreasing the propagation of lunar dust. These manufactured samples were analysed regarding their mineralogical composition, internal structure and mechanical properties.
Future lunar exploration will be based on in-situ resource utilization (ISRU) techniques. The most abundant raw material on the Moon is lunar regolith, which, however, is very scarce on Earth, making the study of simulants a necessity. The objective of this study is to characterize and investigate the sintering behavior of EAC-1A lunar regolith simulant. The characterization of the simulant included the determination of the phase assemblage, characteristic temperatures determination and water content analysis. The results are discussed in the context of sintering experiments of EAC-1A simulant, which showed that the material can be sintered to a relative density close to 90%, but only within a very narrow range of temperatures (20–30 °C). Sintering experiments were performed for sieved and unsieved, as well as for dried and non-dried specimens of EAC-1A. In addition, an analysis of the densification and mechanical properties of the sintered specimens was done. The sintering experiments at different temperatures showed that the finest fraction of sieved simulant can reach a higher maximum sintering temperature, and consequently a higher densification and biaxial strength. The non-dried powder exhibited higher densification and biaxial strength after sintering compared to the dried specimen. This difference was explained with a higher green density of the non-dried powder during pressing, rather than due to an actual influence on the sintering mechanism. Nevertheless, drying the powder prior to sintering is important to avoid the overestimation of the strength of specimens to be fabricated on the Moon.
Redemanuskript zum Impulsvortrag für die Podiumsdiskussion „Dürfen Maschinen denken (können)?“ auf dem 102. Katholikentag am 28.05.2022 in Stuttgart. Podium: Winfried Kretschmann (MdL, MPräs Baden-Württemberg, Stuttgart), Ursula Nothelle-Wildfeuer (Freiburg), Michael Resch (Stuttgart), Karsten Wendland (Aalen) Moderation: Stefanie Rentsch (Fulda) Anwältin des Publikums: Verena Neuhausen (Stuttgart) - with English translation -
Der positive Versorgungseffekt digitaler Gesundheitsanwendungen bei onkologischen Erkrankungen am Beispiel des Mammakarzinoms kann anhand onkologischer Leitlinienempfehlungen abgeleitet werden. Existieren bereits Studien zu Gesundheitsanwendungen mit positivem Versorgungseffekt, können die behandelten Funktionen als evidenzbasierter Ansatz verwendet werden. Betreffen diese Studien andere Krankheiten, sind diese Untersuchungen nicht auszuschließen. Ein positiver Versorgungseffekt könnte sich dennoch bei Brustkrebspatient:innen zeigen. Hier besteht in jedem Fall Forschungsbedarf. Bei der Umsetzung der Leitlinienempfehlungen mittel App sollte darauf geachtet werden, ob die Empfehlungen allein durchführbar sind oder ob dafür professionelle persönliche Unterstützung nötig ist. Je nach Ergebnis wird entschieden, ob die Empfehlung digital umsetzbar ist oder nicht.
The volume of program source code created, reused, and maintained worldwide is rapidly increasing, yet code comprehension remains a limiting productivity factor. For developers and maintainers, well known common software design patterns and the abstractions they offer can help support program comprehension. However, manual pattern documentation techniques in code and code-related assets such as comments, documents, or models are not necessarily consistent or dependable and are cost-prohibitive. To address this situation, we propose the Hybrid Design Pattern Detection (HyDPD), a generalized approach for detecting patterns that is programming-language-agnostic and combines graph analysis (GA) and Machine Learning (ML) to automate the detection of design patterns via source code analysis. Our realization demonstrates its feasibility. An evaluation compared each technique and their combination for three common patterns across a set of 75 single pattern Java and C# public sample pattern projects. The GA component was also used to detect the 23 Gang of Four design patterns across 258 sample C# and Java projects as well as in a large Java project. Performance and scalability were measured. The results show the advantages and potential of a hybrid approach for combining GA with artificial neural networks (ANN) for automated design pattern detection, providing compensating advantages such as reduced false negatives and improved F1 scores.
Today’s Industry 4.0 Smart Factories involve complicated and highly automated processes. Nevertheless, certain crucial activities such as machine maintenance remain that require human involvement. For such activities, many factors have to be taken into account, like worker safety or worker qualification. This adds to the complexity of selection and assignment of optimal human resources to the processes and overall coordination. Contemporary Business Process Management (BPM) Systems only provide limited facilities regarding activity resource assignment. To overcome these, this contribution pro- poses a BPM-integrated approach that applies fuzzy sets and rule processing for activity assignment. Our findings suggest that our approach has the potential for improved work distribution and cost savings for Industry 4.0 production processes. Furthermore, the scalability of the approach provides efficient performance even with a large number of concurrent activity assignment requests and can be applied to complex production scenarios with minimal effort.
Although production processes in Industry 4.0 set- tings are highly automated, many complicated tasks, such as machine maintenance, continue to be executed by human workers. While smart factories can provide these workers with some digitalization support via Augmented Reality (AR) devices, these AR tasks depend on many contextual factors, such as live data feeds from machines in view, or current work safety conditions. Although currently feasible, these localized contextual factors are mostly not well-integrated into the global production process, which can result in various problems such as suboptimal task assignment, over-exposure of workers to hazards such as noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) were not particularly designed to consider and integrate context-aware factors during planning and execution. This paper describes the AR-Process Framework (ARPF) for extending a BPMS to support context-integrated modeling and execution of processes with AR tasks in industrial use cases. Our realization shows how the ARPF can be easily integrated with prevalent BPMS. Our evaluation findings from a simulation scenario indicate that ARPF can improve Industry 4.0 processes with regard to AR task execution quality and cost savings.
With the increasing pressure to deliver additional software functionality, software engineers and developers are often confronted with the dilemma of sufficient software testing. One aspect to avoid is test redundancy, and measuring test (or code or statement) coverage can help focus test development on those areas that are not yet sufficiently tested. As software projects grow, it can be difficult to visualize both the software product and the software testing area and their dependencies. This paper contributes VR-TestCoverage, a Virtual Reality (VR) solution concept for visualizing and interacting with test coverage, test results, and test dependency data in VR. Our VR implementation shows its feasibility. The evaluation results based on a case study show its support for three testing-related scenarios.
The increasing demand for software functionality necessitates an increasing amount of program source code that is retained and managed in version control systems, such as Git. As the number, size, and complexity of Git repositories increases, so does the number of collaborating developers, maintainers, and other stakeholders over a repository’s lifetime. In particular, visual limitations of Git tooling hampers repository comprehension, analysis, and collaboration across one or multiple repositories with a larger stakeholder spectrum. This paper contributes VR-Git, a Virtual Reality (VR) solution concept for visualizing and interacting with Git repositories in VR. Our prototype realization shows its feasibility, and our evaluation results based on a case study show its support for repository comprehension, analysis, and collaboration via branch, commit, and multi-repository scenarios.
Repeatable processes are fundamental for describing how enterprises and organizations operate, for production, for Industry 4.0, etc. As digitalization and automation progresses across all organizations and industries, including enterprises, business, government, manufacturing, and IT, evidence-based comprehension and analysis of the processes involved, including their variations, anomalies, and performance, becomes vital for an increasing set of stakeholders. Process Mining (PM) relies on logs or processes (as such evidence-based) to provide process-centric analysis data, yet insights are not necessarily visually accessible for a larger set of stakeholders (who may not be process or data analysts). Towards addressing certain challenges described in the Process Mining Manifesto, this paper contributes VR-ProcessMine, a solution for visualizing and interacting with PM results in Virtual Reality (VR). Our realization shows its feasibility, and a case-based evaluation provides insights into its capabilities.
As systems grow in complexity, the interdisciplinary nature of systems engineering makes the visualization and comprehension of the underlying system models challenging for the various stakeholders. This, in turn, can affect validation and realization correctness. Furthermore, stakeholder collaboration is often hindered due to the lack of a common medium to access and convey these models, which are often partitioned across multiple 2D diagrams. This paper contributes VR-SysML, a solution concept for visualizing and interacting with SysML models in Virtual Reality (VR). Our prototype realization shows its feasibility, and our evaluation results based on a case study shows its support for the various SysML diagram types in VR, cross-diagram element recognition via our backplane followers concept, and depicting further related (SysML and non-SysML) models side-by-side in VR.
Die vorliegende Arbeit soll im Zusammenhang mit dem geplante Lieferkettengesetz zunächst einen Überblick über die vorangegangenen politischen und gesetzgeberischen Entwicklungen geben. Ferner soll in Bezug auf die folgende Forschungsfrage auf Möglichkeiten der Umsetzung für Unternehmen eingegangen werden:
Wie kann sichergestellt werden, dass keine
Menschenrechtsverletzungen innerhalb der Lieferketten
deutscher Unternehmen stattfinden?
Strategy development is one of the crucial factors for a firm's performance. For it
to be developed, a strategic analysis has to be conducted first. It enables
companies to gain a deeper understanding of their internal and external
environment. In the present work, the specialty coffee market is closely analyzed through a strategic analysis. The focus of this study is the young company Tikuna, a coffee producer that aims to enter the German market. In this context, Tikuna's possible entry into the German market and the companies competitive capacities are analyzed. In order to implement the different tools of the analysis, extensive literature research, as well as one expert interview and a survey were conducted.
It was found that Tikuna possesses all characteristics to enter the German
market. However, due to the lack of a differentiation factor in Tikuna's value
proposition, its competitive capacity is limited to a short period of time. In this
sense, different recommendations are given in order to ensure long term success
in the market. The central one being that Tikuna has to use its main strength and
bring innovation to the market.
Ziel der Thesis:
Das Ziel dieser Bachelorarbeit ist es, einen Fragebogen zu entwickeln, um die Kostenakzeptanz bei Eltern zu ermitteln, deren Kinder Myopiepräventionsmaßnahmen benötigen. Dieser Fragebogen kann einem auf Myopieprävention spezialis ierten Optometristen bei der Preisgestaltung der angebotenen Versorgung unterstützend helfen. Des Weiteren wird ausführlich ein strukturierter Ablaufplan beschrieben, anhand dessen der behandelnde Optometrist/Optiker die betroffenen Kinder und Jugendliche optimal betreuen kann.
Methode/Vorgehensweise:
Um das Ziel dieser Bachelorarbeit zu erreichen, wurde zu Beginn eine Literaturrecherche durchgeführt.
Es wurden Studien, Papers und Fachzeitschriften analysiert und Ursachen,Epidemiologie und Behandlungsmaßnahmen der Myopieprogression herausgearbeitet. Mithilfe dieser Informationen wurde ein Myopiepräventionskonzept und anschließend ein Fragebogen entwickelt.
Ergebnisse:
Eine beginnende oder fortgeschrittene Myopie lässt sich durch entsprechende Myopiemaßnahmen behandeln. Das Längenwachstum eines myopen Auges gilt es einzudämmen, da es sich unbehandelt bis ins Erwachsenenalter progressiv verhält und weitere irreversible Augenerkrankungen hervorrufen kann. Die weltweit ansteigende Myopieprävalenz ruft zu einem Handeln auf,
da etwa die Hälfte der Weltbevölkerung im Jahre 2050 kurzsichtig sein wird. Ursachen hierfür sind vielfältig. Vermehrte Naharbeit, genetische Faktoren, wenig Außenaktivität und binokulare Seheigenschaften spielen eine große Rolle. Versorgungen, die im Myopiemanagement eingesetzt werden, sind Mehrstärkengläser, myopische Brillengläser, Orthokeratologie-kontaktlinsen, multifokale Kontaktlinsen, myopische Kontaktlinsen und Atropin.
Das Ergebnis des Fragebogens zeigt, dass Eltern bereit sind, monatlich 38,89±16,15€ für eine Versorgung zur Myopiekontrolle bei ihrem Kind zu investieren. Dies deckt sich mit den in der Praxis angegeben Preisen von 35€ bis 52€ für Kontaktlinsen und 29€ für spezielle Myopiebrillengläser.
Leider werden die Kosten von der gesetzlichen Krankenkasse nicht übernommen. Hier besteht Handlungsbedarf, denn es kann im Erwachsenenalter zu hohen Kosten für Folgeerkrankungen einer hohen Myopie oder deren Korrektionsmaßnahmen kommen.
Schlussfolgerung:
Der Umfragebogen und dessen Ergebnis sollen dem Myopiespezialisten helfen, Versorgungsangebote
mit Brille oder Kontaktlinsen preislich den Vorstellungen und damit der Akzeptanz der
Eltern anzupassen. Somit kann eine maximale Effizienz und Zufriedenheit erreicht werden.
Leveraging Augmented Reality to Support Context-Aware Tasks in Alignment with Business Processes
(2021)
The seamless inclusion of Augmented Reality (AR) with Business Process Management Systems (BPMSs) for Smart Factory and Industry 4.0 processes remains a challenge. Towards this end, this paper contributes an approach integrating context-aware AR into intelligent business processes to support and guide manufacturing personnel tasks and enable live task assignment optimization and support task execution quality. Our realization extends two BPMSs (Camunda and AristaFlow) and various AR devices. Various AR capabilities are demonstrated via a simulated industrial case study.
Diese Masterarbeit beschäftigt sich mit "Race Conditions", auf Deutsch "Wettlaufsituationen", in Webanwendungen. Bei dieser Art von Schwachstelle lassen sich durch einen Angreifer unvorhergesehene Zustände, in Folge von überschneidenden und parallelen Programmcodesequenzen, kreieren. Durch geschicktes Ausnutzen dieser Zustände können sich damit Vorteile verschafft werden, wie das Umgehen von Anti-Brute-Force-Mechanismen, das Überziehen von Limits, die Mehrabgabe von Stimmen und weiteren Angriffsszenarien. Im Rahmen der Arbeit wird ein Penetration Testing Tool für Race Conditions und eine Trainings-Webanwendung entwickelt, die für diese Art von Angriffen verwundbar ist. Anhand des entwickelten Penetration Testing Tools und der entwickelten Webanwendung werden Angriffsszenarien aus der Praxis demonstriert.
Die Bevölkerungsversorgung mit medizinischen Leistungen stellt zunehmend eine größere Herausforderung dar. Durch demographische Veränderungen unserer Gesellschaft ist ein deutlicher Anstieg des augenärztlichen Versorgungsbedarfs erkennbar. Trotz steigender Zahl an Ophthalmologen zeigt sich keine entsprechende Zunahme der augenärztlichen Versorgungskapazität. In der Zukunft wird eine flächendeckende und hochqualitative Versorgung nicht mehr möglich sein, solange nicht mit Aufstockung der notwendigen Ressourcen auf den steigenden Versorgungsbedarf reagiert wird.
Industry 4.0 production comprises complicated highly automated processes. However, human activities are also a crucial component of these processes, e.g., for machine main- tenance. Task assignment of human resources in this domain is challenging, as many factors have to be taken into account to ensure effective and efficient activity execution and satisfy special conditions (like worker safety). To overcome the limita- tions of current Business Process Management (BPM) Systems regarding activity resource assignment, this contribution provides a BPM-integrated approach that applies fuzzy sets for activity assignment. Our findings suggest that this approach can be easily applied to complex production scenarios, while providing efficient performance even with a large number of concurrent activity assignment requests. Additionally, our evaluation shows its potential for improved work distribution which can lead to cost savings in Industry 4.0 production processes.
Production processes in Industry 4.0 settings are usually highly automated. However, many complicated tasks, such as machine maintenance, must be executed by human workers. In current smart factories, such tasks can be supported by Augmented Reality (AR) devices. These AR tasks rely on high numbers of contextual factors like live data from machines or work safety conditions and are mostly not well integrated into the global production process. This can lead to various problems like suboptimal task assignment, over-exposure of workers to hazards like noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) are not capable of readily taking such factors into account. There- fore, this contribution proposes a novel approach for context- integrated modeling and execution of processes with AR tasks. Our practical evaluations show that our AR Process Framework can be easily integrated with prevalent BPMS. Furthermore, we have created a comprehensive simulation scenario and our findings suggest that the application of this system can lead to various benefits, like better quality of AR task execution and cost savings regarding the overall Industry 4.0 processes.
In dieser Studie geht das Institut für Unternehmensführung (AAUF) der Hochschule
Aalen der Frage nach, wie sich die Digitalisierung auf die Arbeit von Steuerberaterkanzleien auswirkt. Die vorliegende Schrift stellt die wesentlichen
Erkenntnisse vor.
Die Charakteristika der an der Befragung teilnehmenden Steuerberatungen spiegeln hinsichtlich Unternehmensgröße und Art der Tätigkeiten die Merkmale der angepeilten Gesamtheit an Unternehmen wider, so dass man davon ausgehen kann, dass die
Ergebnisse repräsentativ sind.
In Summe zeigt sich, dass Digitalisierung natürlich auch in dieser Branche eine Rolle spielt, jedoch weniger bei der Mandantenakquisition als bei internen Prozessen. Es scheint so, dass potentielle Mandanten aufgrund der mit solchen Dienstleistungen
verbundenen Unsicherheit eher auf persönliche Kontakte und Weiterempfehlungen vertrauen. Steuerberaterkanzleien nutzen daher kaum digitale Akquisitionswege. Weiterhin zeigt sich in verschiedenen Ergebnissen eine digitale Kluft: eine signifikante
Gruppe der befragten Kanzleien nutzt die Digitalisierung stark und eine oft ebenso
große Gruppe nutzt die Digitalisierung nur wenig.
Purpose: The aim is to be able to advise patients on the choice of sports and exercises regarding the effects on the intraocular pressure.
Methods: The search engines Google Scholar and PubMed were used to search for suitable studies. The studies were summarized, and the most important data were collected in one table for each study. The effect on the IOP was extracted or, if not given in the article, calculated by the difference of means of the IOP after or during exercise, and the baseline IOP before, whenever these values were available.
Findings: A total of 47 studies out of the years 1990 to 2020 that investigated the influence on the IOP of the most popular sports actively practiced in Germany were reviewed and summarized: twelve for running, sixteen for fitness/ weight training, one for swimming/diving, twelve for cycling, four for hiking, and two for yoga.
Conclusions: Throughout all studies and sports it was seen that physical fitness stabilized the IOP. Higher
intensity of exercise led to higher fluctuations of the IOP. Moderate endurance training keeps the IOP fluctuations low and may lead to a lower baseline IOP if practiced on a regular base. Fitness and weight training lead to fluctuations of the IOP in a pronounced manner when performed at moderate and high intensity. Therefore, only a moderate training can be recommended if there is need to keep the IOP stable. Isometric exercise is not recommended as it provokes a rise of the IOP even when performed with light loads. The Valsalva Maneuver should always be avoided as it leads to additional fluctuations of the IOP. Also, the IOP behaved more stable during resistance training when higher fitness was present.
Der nachfolgende Leitfaden soll ProjektmanagerInnen, BeraterInnen und Führungskräften aufzeigen, was Nachhaltigkeit im Projektmanagement bedeutet und was beachtet werden sollte, um Nachhaltigkeit im Projektmanagement zu gewährleisten. Um ein Grundverständnis zum Thema Nachhaltigkeit zu schaffen, wird in der Einleitung des Leitfadens kurz auf die wichtigsten Punkte und Begriffe des Themas eingegangen. Zudem wird eine Definition von Nachhaltigkeit im Pro-
jektmanagement gegeben. Es folgen die drei Bereiche: Nachhaltigkeit im Unternehmen, im Projektmanagementprozess und im Projekt selbst. Jeder Bereich wird zunächst in einem Überblick kurz erklärt. Anschließend werden Ziele beschrieben, die optimalerweise erreicht werden sollten. Am Ende jedes Abschnitts werden Maßnahmen aufgezählt, wie die Ziele erreicht werden können. Am Ende des Leitfadens befinden sich zudem Anhänge, die zur Orientierung und zur weiteren Information dienen sollen.
Planung ist eines der wichtigsten Führungsinstrumente in der Praxis. Sie dient der
Umsetzung von Zielen und beinhaltet die gedankliche Vorwegnahme künftiger
Maßnahmen und benötigter Ressourcen. Allerdings bemängelt die Praxis häufig ihren
Aufwand. Daher tendieren manche Unternehmen dazu, weniger auf formale Prozesse
und Instrumente zu setzen und steuern eher über intuitive Entscheidungen oder ad
hoc-Abstimmungen. Solche Vorgehensweisen lassen sich als heuristisch bezeichnen.
Offen ist, ob eine eher formale oder eine eher heuristische Planung zu demselben
Erfolg führt.
In einer Studie geht das Institut für Unternehmensführung (AAUF) der Hochschule
Aalen der Frage nach, ob Unternehmen eher formal oder heuristisch planen und
welche Auswirkungen dies auf den Unternehmenserfolg hat. Die vorliegende Schrift
stellt die wesentlichen Erkenntnisse vor.
Ziele: Ein Handbuch zum umweltbewussten und nachhaltigen Wirken im Augenoptikfachgeschäft. Es zeigt, wie idealerweise gewirtschaftet wird unter Berücksichtigung ökonomischer, ökologischer und sozialer Aspekte.
Methodik: Diese Studie ist ein Wissenstank aus vielen verschiedenen Aspekten zu Umweltschutz und Nachhaltigkeit, die durch Literaturrecherche aufgebaut wurde. Die Informationen sind für den Nutzen im augenoptischen Betrieb ausgelegt.
Ergebnisse: Die Studie zeigt auf, wie viele Möglichkeiten es gibt und notwendig sind, um umweltverträglich zu wirtschaften und bringt ein Handbuch hervor für den Augenoptik-Betrieb. Verantwortungsbewusstes, nachhaltiges Handeln entsteht durch Kennen und Verstehen der Zusammenhänge mit anschliessender Umsetzung.
Es kann gezeigt werden, dass nachhaltiges Denken und Arbeiten in jedem Bereich angewendet werden kann und dabei sowohl die Umwelt als auch das Unternehmen unterstützt.
Zusammenfassung: Das entstehende Handbuch ist ein Leitwerk für Augenoptik-Betriebe. Durch die Umsetzung nachhaltigen Wirtschaftens mit einer möglichst optimierten Kreislaufwirtschaft ist nicht nur der Umwelt und den Menschen gedient, sondern auch der Fortbestand des Unternehmens, die Wettbewerbsfähigkeit und das positive Betriebsergebnis werden gefördert und gesichert.
Creation of Liquid‐Air Dispersions in Oil and Water: Comparison of Calculations and Measurements
(2021)
Highlighting Thermal Post-Treatment for Improving Long-Term Media-Tightness of Polymer-Metal Hybrids
(2021)
Young but not Naive: Leaders of Tomorrow Expect Limits to Digital Freedom to Preserve Freedom
(2021)
Organische Chemie
(2021)