Refine
Year of publication
- 2019 (105) (remove)
Document Type
- Article (37)
- Conference Proceeding (33)
- Lecture (20)
- Book (8)
- Part of a Book (6)
- Doctoral Thesis (1)
Keywords
- Tissue Engineering (7)
- Biomedical Engineering (6)
- eHealth (6)
- Computer Science (4)
- Curriculum (4)
- DC/DC Converter (4)
- FPGA (4)
- Teaching (4)
- engineering education (4)
- learning office (4)
- student-centered classrooms (4)
- Breathing Simulation (3)
- Decellularization (3)
- person-centered approach (3)
- 21st century skills (2)
- Accounting (2)
- Active Workplace (2)
- Binary Hardening (2)
- Binary rewriting (2)
- Computer Science Education (2)
- Embedded Systems (2)
- Energy Technologies (2)
- Entrepreneurship (2)
- Field-Programmable Gate Array (2)
- Management (2)
- Prüfungsvorbereitung (2)
- Robotics (2)
- Tapped Inductor (2)
- UX Design (2)
- Usability (2)
- Verification (2)
- Wind Energy (2)
- AAC (1)
- ACL (1)
- Accounting & Finance (1)
- Additive Manufacturing (1)
- Adipose-tissue (1)
- Ambient Assistive Technologies (1)
- Analysis (1)
- Antimicrobial (1)
- Arakawa–Kaneko zeta function (1)
- Assertion Synthesis (1)
- Assertion-based Verification (1)
- Auricular cartilage (1)
- BLAS (1)
- Banking (1)
- Basic Linear Algebra Subprograms (1)
- Benchmark (1)
- Biomedical Engineering, Breathing simulation (1)
- Blood Vessel (1)
- Building (1)
- Buildings (1)
- CPU Core (1)
- Cargo (1)
- Cartilage (1)
- Cartilage Regeneration (1)
- Circuit faults (1)
- Clock Synchronization (1)
- Communication Modeling (1)
- Communication Standards (1)
- Currency (1)
- Curricula (1)
- Curriculum Design (1)
- DCM (1)
- Data Modeling (1)
- Deep Learning (1)
- Design (1)
- Diabetes (1)
- Didactics (1)
- Digital Logic Simulation (1)
- Digital Manufacturing (1)
- Digital Solutions (1)
- Digital Solutions & Technologies (1)
- Digitalisierung im Krankenhaus (1)
- Discontinuous Conduction Mode (1)
- Diversity (1)
- Dual Academic Education (1)
- Dynamic Rewriting (1)
- E-Learning (1)
- Education (1)
- Elderly People (1)
- Elearning (1)
- Electronic Based Systems (1)
- Electronic Design Automation (1)
- Electronic design automation (1)
- Embedded Firmware (1)
- Energy (1)
- Energy Efficiency (1)
- English Teaching (1)
- Environmental Control (1)
- FHIR (1)
- Fault Detection (1)
- Fault injection (1)
- Fault tolerance (1)
- Fault tolerant systems (1)
- Feedback (1)
- Field programmable gate arrays (1)
- Gaussian (1)
- Harmonic numbers (1)
- Health Interoperability (1)
- Human adipose derived stromal/stem cells (1)
- Human-Computer Interface (1)
- ICT Platform (1)
- IEEE 1588 (1)
- IKT-Plattform (1)
- Image Processing (1)
- Imaging (1)
- Incubator (1)
- Industrial Engineering (1)
- Industry 4.0 (1)
- Integrated Care (1)
- Integrative Urban Development – Smart City (1)
- Interoperabilität (1)
- Investitionsrechnung (1)
- IoT (1)
- Krankenhaus IT (1)
- Logistic Challenges (1)
- Lung Simulation (1)
- Lung Simulator (1)
- Machine Learning (1)
- Mapping (1)
- Materials (1)
- Maternity leave (1)
- Matter wave optics (1)
- Meteorology (1)
- Mobile Robotics (1)
- Monetary Transaction (1)
- Multiple zeta values (1)
- Nahversorgung (1)
- Open Data (1)
- Open-Source (1)
- PLD (1)
- PSL (1)
- PSoC (1)
- PTP (1)
- Parapsychology (1)
- Payment (1)
- Photovoltaics (1)
- Precision Time Protocol (1)
- Production (1)
- Programmable Logic Device (1)
- QM und Digitalisierung (1)
- Quadratic (1)
- Quality (1)
- Quantum optics in phase space (1)
- RISC-V (1)
- Reassembly (1)
- Regeneration (1)
- Regenerative Medicine (1)
- Reimbursement (1)
- Reliability engineering (1)
- Reliable (1)
- Renewable Energies (1)
- Research (1)
- Residential Care (1)
- Resonance Converter (1)
- Resonant Converter (1)
- Roof (1)
- Rural Areas (1)
- Safety-critical system (1)
- Scaffold (1)
- Sensor Technology (1)
- Shockwave Therapy (1)
- Silk (1)
- Small Wind Plant (1)
- Smart City (1)
- Smart City Wien (1)
- Smart Homes (1)
- Smart textiles (1)
- Solar Power (1)
- Startup-Business (1)
- Static Rewriting (1)
- Stirling permutations (1)
- Stirling series (1)
- Streetsigns (1)
- Supply of Daily Goods (1)
- Surgery (1)
- Survey (1)
- Telemonitoring (1)
- Tissue Regeneration (1)
- Transportation (1)
- Universities of Applied Sciences (1)
- User Experience (1)
- VLSI Design (1)
- Validation (1)
- Vehicles (1)
- Video (1)
- Vienna (1)
- Wind Conditions (1)
- Wind Power (1)
- Wissenschaft (1)
- Work-Integrated Curriculum (1)
- Work-integrated Program (1)
- Wound (1)
- ZCS (1)
- Zero Current Switching (1)
- advanced encryption standard (1)
- autologous cell therapy (1)
- data management (1)
- eLearning (1)
- infrastructure (1)
- knowledge management (1)
- laboratory (1)
- ländliche Regionen (1)
- mHealth (1)
- microtissue (1)
- open-source cryptography IP cores (1)
- person-centered learning (1)
- physically unclonable function (1)
- secure hash algorithm (1)
- stereoscopy (1)
- stromal vascular fraction (1)
- tailgating (1)
- teaching (1)
- vascularization (1)
- video (1)
- µCT (1)
Department
Designing experiments which delocalize ever more complex and more massive particles requires a quantitative assessment of new interferometer configurations. Here, we introduce a figure of
merit which quantifies the difference between a genuine quantum interference pattern and a classical shadow and use it to compare a number of near-field interferometer schemes. This allows us to identify the most promising setups for future tests of the quantum superposition principle, and to discuss the perspectives of interferometry with complex molecules and clusters.
Respiratory diseases are characterised by high prevalence among the European population. Medical aerosol inhalers are the most commonly used means of drug delivery into the human respiratory system. This paper focuses on characteristic waveforms that can be utilised during aerosol deposition studies to simulate conditions of rapid human inhalation. Additionally, an inhalatory waveform based on clinically recorded spirometry data is introduced. Experimental measurements are performed and simulation results mutually compared using the electro-mechanical lung simulator xPULM. The inhalatory waveforms are repeatably simulated with high fidelity in regards to the waveform shape with the lowest value of the Goodness of fit 0.89. Additionally, the measured values for all characteristic inhalatory parameters are simulated with low standard deviation < 1. The differences between the required and measured waveform shapes are small, < 3 L/min and do not influence the overall inhalatory volume. This opens a possibility of utilising the xPULM for medical aerosol inhalers testing.
Changes of particle deposition caused by different breathing patterns during active lung simulation
(2019)
Aerosols are an integral part of everyday life and as such are inhaled under various conditions and circumstances. These may vary based on the health and activity status of an individual. The aim of this work is to analyse the particle deposition mechanisms during the simulation of three different breathing patterns using an aerosol representing the PM1 fraction of fine particles. The active electro-mechanical lung simulator xPULM is utilized as a driving force and is combined with a non-invasive direct reading optical aerosol measurement system. Results show differences between the number of deposited particles for the three breathing patterns and for the three typical size ranges of airborne particles. Overall, the presented approach demonstrates the possibility of determining the changes of aerosol uptake based on different breathing patterns using the electro-mechanical lung simulator and laboratory produced aerosols. Further measurement cycles must be performed in order to validate the found interactions and to characterize the major influencing parameters.
Presentation of successful use of IHE profiles in national strategies (Austria and Switzerland)
(2019)
Changes of particle deposition caused by different breathing patterns during active lung simulation
(2019)
Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between the complex, real anatomical environment and the safe, cost-effective simulation methods. The presented electro-mechanical lung simulator, xPULM, combines in-silico, ex-vivo and mechanical respiratory approaches by realistically replicating an actively breathing human lung. The reproducibility of sinusoidal breathing simulations with xPULM was verified for selected breathing frequencies (10–18 bpm) and tidal volumes (400–600 ml) physiologically occurring during human breathing at rest. Human lung anatomy was modelled using latex bags and primed porcine lungs. High reproducibility of flow and pressure characteristics was shown by evaluating breathing cycles (nTotal = 3273) with highest standard deviation |3σ| for both, simplified lung equivalents (μV˙ = 23.98 ± 1.04 l/min, μP = −0.78 ± 0.63 hPa) and primed porcine lungs (μV˙ = 18.87 ± 2.49 l/min, μP = −21.13 ± 1.47 hPa). The adaptability of the breathing simulation parameters, coupled with the use of porcine lungs salvaged from a slaughterhouse process, represents an advancement towards anatomically and physiologically realistic modelling of human respiration.
Repopulation of an auricular cartilage scaffold, AuriScaff, perforated with an enzyme combination
(2019)
Biomaterials currently in use for articular cartilage regeneration do not mimic the composition or architecture of hyaline cartilage, leading to the formation of repair tissue with inferior characteristics. In this study we demonstrate the use of "AuriScaff", an enzymatically perforated bovine auricular cartilage scaffold, as a novel biomaterial for repopulation with regenerative cells and for the formation of high-quality hyaline cartilage. AuriScaff features a traversing channel network, generated by selective depletion of elastic fibers, enabling uniform repopulation with therapeutic cells. The complex collagen type II matrix is left intact, as observed by immunohistochemistry, SEM and TEM. The compressive modulus is diminished, but three times higher than in the clinically used collagen type I/III scaffold that served as control. Seeding tests with human articular chondrocytes (hAC) alone and in co-culture with human adipose-derived stromal/stem cells (ASC) confirmed that the network enabled cell migration throughout the scaffold. It also guides collagen alignment along the channels and, due to the generally traverse channel alignment, newly deposited cartilage matrix corresponds with the orientation of collagen within articular cartilage. In an osteochondral plug model, AuriScaff filled the complete defect with compact collagen type II matrix and enabled chondrogenic differentiation inside the channels. Using adult articular chondrocytes from bovine origin (bAC), filling of even deep defects with high-quality hyaline-like cartilage was achieved after 6 weeks in vivo. With its composition and spatial organization, AuriScaff provides an optimal chondrogenic environment for therapeutic cells to treat cartilage defects and is expected to improve long-term outcome by channel-guided repopulation followed by matrix deposition and alignment. STATEMENT OF SIGNIFICANCE: After two decades of tissue engineering for cartilage regeneration, there is still no optimal strategy available to overcome problems such as inconsistent clinical outcome, early and late graft failures. Especially large defects are dependent on biomaterials and their scaffolding, guiding and protective function. Considering the currently used biomaterials, structure and mechanical properties appear to be insufficient to fulfill this task. The novel scaffold developed within this study is the first approach enabling the use of dense cartilage matrix, repopulate it via channels and provide the cells with a compact collagen type II environment. Due to its density, it also provides better mechanical properties than materials currently used in clinics. We therefore think, that the auricular cartilage scaffold (AuriScaff) has a high potential to improve future cartilage regeneration approaches.