873 publications from this institution
In this study interest centers on regional differences in the response of housing prices to monetary policy shocks in the US. We address this issue by analyzing monthly home price data for metropolitan regions using a factor-augmented vector autoregression (FAVAR) model. Bayesian model estimation is based on Gibbs sampling with Normal-Gamma shrinkage priors for the autoregressive coefficients and factor loadings, while monetary policy shocks are identified using high-frequency surprises around policy announcements as external instruments. The empirical results indicate that monetary policy actions typically have sizeable and significant positive effects on regional housing prices, revealing differences in magnitude and duration. The largest effects are observed in regions located in states on both the East and West Coasts, notably California, Arizona and Florida.
In four patients with pheochromocytoma, scintigraphy with131I-meta-iodobenzylguanidine was performed to localize hyperfunctioning adrenergic tissue. In thr
Various techniques of optimizing the multiple class cross-entropy error function to train single hidden layer neural network classifiers with softmax output transfer functions are investigated on a real-world multispectral pixel-by-pixel classification problem that is of fundamental importance in remote sensing. These techniques include epoch-based and batch versions of backpropagation of gradient descent, PR-conjugate gradient and BFGS quasi-Newton errors. The method of choice depends upon the nature of the learning task and whether one wants to optimize learning for speed or generalization performance. It was found that, comparatively considered, gradient descent error backpropagation provided the best and most stable out-of-sample performance results across batch and epoch-based modes of operation. If the goal is to maximize learning speed and a sacrifice in generalisation is acceptable, then PR-conjugate gradient error backpropagation tends to be superior. If the training set is very large, stochastic epoch-based versions of local optimizers should be chosen utilizing a larger rather than a smaller epoch size to avoid inacceptable instabilities in the generalization results.
Technological change and the nature of the firm.- Innovation and Technological Change.- Innovation and Technological Change: An Austrian-British Comparison.- Technology, Organisation and Export-driven Research and Development in Austria's Electronics Industry.- Information Processing, Technological Progress, and Retail Market Dynamics.- Innovation and Network Activities.- The New Economy and Networking.- The Innovation Process and Network Activities of Manufacturing Firms.- Knowledge Interactions between Universities and Industry in Austria: Sectoral Patterns and Determinants.- Knowledge Creation, Diffusion and Spillovers.- Innovation, Knowledge Creation and Systems of Innovation.- The Role of Space in the Creation of Knowledge in Austria: An Exploratory Spatial Data Analysis.- Spatial Knowledge Spillovers and University Research: Evidence from Austria.- Patents, Patent Citations and the Geography of Knowledge Spillovers in Europe.
A novel rough set approach is proposed in this paper to discover classification rules through a process of knowledge induction which selects optimal decision rules with a minimal set of features necessary and sufficient for classification of real-valued data. A rough set knowledge discovery framework is formulated for the analysis of interval-valued information systems converted from real-valued raw decision tables. The optimal feature selection method for information systems with interval-valued features obtains all classification rules hidden in a system through a knowledge induction process. Numerical examples are employed to substantiate the conceptual arguments.
ISHS III International Cherry Symposium RESISTANCE TESTS IN SWEET CHERRIES
The Centre for Workplace Leadership was invited by a leading Australian financial services firm to conduct research on the firm’s capacity to adapt and innovate in a rapidly changing economic environment. The research took place between 2014 and 2016. It involved analysis of proprietary documents, surveys, and interviews with employees and managers from frontline business to senior managers, the executive team and board members. Key Findings: The analysis of the firm’s systems for innovation and decision-making found the following factors were affecting the firm’s ability to innovate. These were: • Employees’ shared commitment to a strong, values-based culture created a stable and rewarding informal culture; • However, the firm’s culture was a ‘double-edged sword’: although it was a major strength in building cohesion, it also tended to block innovation and change; • In particular, ‘bureaucratic brakes’ impeded the spread of internal innovation and development; • Strong risk aversion tended to be used defensively against the possibility of change; • Positive examples of innovation highlighted the need to develop better mechanisms for knowledge diffusion and organisational learning. Each of these findings is described in more detail in the report, along with quotes from the interviews.
The Grating and Filter Wheel Mechanisms of the JWST NIRSpec instrument allow for reconfiguration of the spectrograph in space in a number of NIR sub-bands and spectral resolutions. Challenging requirements need to be met simultaneously including high launch loads, the large temperature shift to cryo-space, high position repeatability and minimum deformation of the mounted optics. The design concept of the NIRSpec wheel mechanisms is based on the ISOPHOT Filter Wheels but with significant enhancements to support much larger optics. A well-balanced set of design parameters was to be found and a considerable effort was spent to adjust the hardware within narrow tolerances.
In this study interest centers on regional differences in the response of housing prices to monetary policy shocks in the US. We address this issue by analyzing monthly home price data for metropolitan regions using a factor-augmented vector autoregression (FAVAR) model. Bayesian model estimation is based on Gibbs sampling with Normal-Gamma shrinkage priors for the autoregressive coefficients and factor loadings, while monetary policy shocks are identified using high-frequency surprises around policy announcements as external instruments. The empirical results indicate that monetary policy actions typically have sizeable and significant positive effects on regional housing prices, revealing differences in magnitude and duration. The largest effects are observed in regions located in states on both the East and West Coasts, notably California, Arizona and Florida.
No abstract is provided for this article.
No abstract is provided for this article.
In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.
No abstract is provided for this article.
No abstract is provided for this article.
In einer prospektiven, nichtrandomisierten klinischen Studie wurde der Wert der Hemobahn-Endoprothese für die Behandlung von Verschlüssen der Arteria femoralis superficialis untersucht. In den letzten vier Jahren wurden bei 52 Patienten an 55 Extremitäten insgesamt 78 Hemobahn-Endoprothesen zur Behandlung von Stenosen (15 %) oder Verschlüssen (85 %) der Arteria femoralis superficialis perkutan platziert. Die mittlere Verschlusslänge betrug 11,6 cm, die mittlere Länge der platzierten Hemobahn 15,9 cm und der mittlere Endoprothesendurchmesser 6,1 mm. In 45 % der Fälle wurde in Cross-over-Technik, in 55 % der Fälle ipsilateral antegrad vorgegangen. Klinisch bestanden die Fontaine-Stadien: II b (89 %), III (2 %) und IV (9 %); 15 Patienten waren Diabetiker. Die Patienten wurden primär und in jährlichen Intervallen angiologisch kontrolliert; das mittlere Nachbeobachtungsintervall betrug 33 Monate. Nach 1 Jahr „Follow-up” waren die primären/sekundären Offenheitsraten bezogen auf alle nachuntersuchten Extremitäten 64/78 % (n = 50), nach 2 Jahren 61/76 % (n = 46), nach 3 Jahren 53/66 % (n = 32) und nach 4 Jahren 29/50 % (n = 14). Nach den ersten Erfahrungen von 1998 mit 10 Verschlüssen bei 14 insgesamt behandelten Extremitäten wurden die Indikationen geprüft und nachfolgend lediglich bei definierter, so genannter „Idealindikation” mit der Hemobahn behandelt. Als „Idealindikationen” galten: ≥ 1 cm unauffälliges vor- und nachgeschaltetes Gefäßsegment, fehlende Läsion im 1. Poplitealsegment, mindestens eine offene Unterschenkelarterie und das Fehlen ausgeprägter Verkalkungen. Bei diesen Patienten betrugen die primären/sekundären Offenheitsraten nach 1 Jahr 76/90 % (n = 36), nach 2 Jahren 74/89 % (n = 32) und nach 3 Jahren 71/83 % (n = 24); nach 4 Jahren waren von 8 behandelten Arterien 4 primär und 7 sekundär offen. Die Hemobahn- Endoprothese eignet sich zur Therapie ausgewählter komplexer femoraler Gefäßläsionen und längerstreckiger Verschlüsse. Die mittelfristige Offenheitsrate liegt über jener der alleinigen Ballondilatation oder Stenttherapie unter Nutzung ungecoverter Stents.
This book presents a systematic survey of different local treatments in inflammatory joint diseases and their potential side effects and complications. Both surgical therapies and pharmaceutical strategies involving local or systemic application of anti-inflammatory and immunomodulating drugs are addressed. Special emphasis is placed on nuclear medicine therapy by intra-articular instillation of beta radiation emitters, known as radiosynoviorthesis or radiation synovectomy. Possible complications, in particular radionecrosis, infection, and thromboembolism, are described and available treatment strategies are examined in detail. In addition, radiation safety considerations are critically reviewed and relevant clinical questions are discussed.While radiosynoviorthesis is an effective and safe treatment if a proper indication is secured and if the application is performed by an experienced nuclear medicine physician, local complications can never be excluded with certainty. This book will support physicians who are engaged in the care and treatment of patients with inflammatory joint disease, approximately 30,000 of whom undergo radiosynoviorthesis in Europe each year.
