Refine
Year of publication
- 2015 (295) (remove)
Document Type
- Conference proceeding (122)
- Journal article (89)
- Book (34)
- Book chapter (34)
- Doctoral Thesis (7)
- Working Paper (4)
- Patent / Standard / Guidelines (3)
- Anthology (1)
- Review (1)
Is part of the Bibliography
- yes (295)
Institute
- ESB Business School (89)
- Informatik (80)
- Technik (63)
- Texoversum (31)
- Life Sciences (28)
- Zentrale Einrichtungen (1)
Publisher
- IEEE (31)
- Gesellschaft für Informatik (20)
- Springer (20)
- Books on Demand (12)
- Hochschule Reutlingen (11)
- Elsevier (9)
- Springer Gabler (9)
- Universitätsbibliothek Tübingen (7)
- ACM (5)
- Hochschule Ulm (4)
In the last decade, numerous learning factories for education, training, and research have been built up in industry and academia. In recent years learning factory initiatives were elevated from a local to a European and then to a worldwide level. In 2014 the CIRP Collaborative Working Group (CWG) on Learning Factories enables a lively exchange on the topic "Learning Factories for future oriented research and education in manufacturing". In this paper results of discussions inside the CWG are presented. First, what is meant by the term Learning Factory is outlined. Second, based on the definition a description model (morphology) for learning factories is presented. The morphology covers the most relevant characteristics and features of learning factories in seven dimensions. Third, following the morphology the actual variance of learning factory manifestations is shown in six learning factory application scenarios from industrial training over education to research. Finally, future prospects of the learning factory concept are presented.
Venture capital and the innovative power of a state : econometric study including Google data
(2015)
This article focuses on venture capital investments and the innovative power of a state defined by its public infrastructure. The economic implications are evaluated by estimating several panel regression models. The novelty is twofold: on the one hand the research approach and on the other hand the new data set. The data ranges from 1995 to 2014 and consists of 10 European countries plus the US and Canada. For the first time we include Google search data on Venture Capital. The results show a significant increase in Venture Capital is mainly determined by economic conditions such as real GDP growth. The impact of the innovative power of a state is not significant. We find that Google data is positively related and significant in respect to Venture Capital investments too. Consequently, we confirm that private business investments cannot be created by government policy alone rather via solid macroeconomic conditions.
Influence of the respirator on volatile organic compounds : an animal study in rats over 24 hours
(2015)
Long-term animal studies are needed to accomplish measurements of volatile organic compounds (VOCs) for medical diagnostics. In order to analyze the time course of VOCs, it is necessary to ventilate these animals. Therefore, a total of 10 male Sprague–Dawley rats were anaesthetized and ventilated with synthetic air via tracheotomy for 24 h. An ion mobility spectrometry coupled to multi-capillary columns (MCC–IMS) was used to analyze the expired air. To identify background contaminations produced by the respirator itself, six comparative measurements were conducted with ventilators only. Overall, a number of 37 peaks could be detected within the positive mode. According to the ratio peak intensity rat/ peak intensity ventilator blank, 22 peaks with a ratio >1.5 were defined as expired VOCs, 12 peaks with a ratio between 0.5 and 1.5 as unaffected VOCs, and three peaks with a ratio <0.5 as resorbed VOCs. The peak intensity of 12 expired VOCs changed significantly during the 24 h measurement. These results represent the basis for future intervention studies. Notably, online VOC analysis with MCC–IMS is possible over 24 h in ventilated rats and allows different experimental approaches.
Background
Alzheimer’s disease (AD) is diagnosed based upon medical history, neuropsychiatric examination, cerebrospinal fluid analysis, extensive laboratory analyses and cerebral imaging. Diagnosis is time consuming and labour intensive. Parkinson’s disease (PD) is mainly diagnosed on clinical grounds.
Objective
The primary aim of this study was to differentiate patients suffering from AD, PD and healthy controls by investigating exhaled air with the electronic nose technique. After demonstrating a difference between the three groups the secondary aim was the identification of specific substances responsible for the difference(s) using ion mobility spectroscopy. Thirdly we analysed whether amyloid beta (Aβ) in exhaled breath was causative for the observed differences between patients suffering from AD and healthy controls.
Methods
We employed novel pulmonary diagnostic tools (electronic nose device/ion-mobility spectrometry) for the identification of patients with neurodegenerative diseases. Specifically, we analysed breath pattern differences in exhaled air of patients with AD, those with PD and healthy controls using the electronic nose device (eNose). Using ion mobility spectrometry (IMS), we identified the compounds responsible for the observed differences in breath patterns. We applied ELISA technique to measure Aβ in exhaled breath condensates.
Results
The eNose was able to differentiate between AD, PD and HC correctly. Using IMS, we identified markers that could be used to differentiate healthy controls from patients with AD and PD with an accuracy of 94%. In addition, patients suffering from PD were identified with sensitivity and specificity of 100%. Altogether, 3 AD patients out of 53 participants were misclassified. Although we found Aβ in exhaled breath condensate from both AD and healthy controls, no significant differences between groups were detected.
Conclusion
These data may open a new field in the diagnosis of neurodegenerative disease such as Alzheimer’s disease and Parkinson’s disease. Further research is required to evaluate the significance of these pulmonary findings with respect to the pathophysiology of neurodegenerative disorders.
Pegelumsetzer mit einem ersten Eingang, der ein erstes Signal erfasst, wobei das erste Signal einen ersten Spannungspegel aufweist, einem Ausgang, der ein zweites Signal erzeugt, wobei das zweite Signal einen zweiten Spannungspegel aufweist, wobei der zweite Spannungspegel größer als der erste Spannungspegel ist und einem Differenzverstärker, der eine Differenzspannung erfasst, wobei der Differenzverstärker mit einer Versorgungsspannung und einer hochseitige Masse verbunden ist, wobei die Versorgungsspannung ein erstes Spannungspotential und die hochseitige Masse ein zweites Spannungspotential aufweist, dadurch gekennzeichnet, dass der erste Eingang mit einer ersten Teilschaltung verbunden ist, wobei die erste Teilschaltung mit einer zweiten Teilschaltung unidirektional verbunden ist, wobei die zweite Teilschaltung mit der Versorgungsspannung und der hochseitigen Masse verbunden ist, wobei die zweite Teilschaltung mindestens zwei Ausgänge aufweist, die die Differenzspannung des Differenzverstärkers erzeugen, wobei über einen Versorgungsspannungseingang und einen hochseitigen Masseeingang eine zusätzliche Spannung einkoppelt und der Differenzverstärker das zweite Signal in Abhängigkeit der Differenzspannung, der Versorgungsspannung, der hochseitigen Masse und der zusätzlichen Spannung erzeugt.