26 research outputs found
Time and energy resolved ion mass spectroscopy studies of the ion flux during high power pulsed magnetron sputtering of Cr in Ar and Ar/N2 atmospheres
The importance of dense array EEG in detection of interictal epileptiform discharges and localisation of epileptogenic foci
2nd Congress of the European Academy of Neurology, June, 2016, Copenhagen, Denmark, Neurology and Neurosurgery, Chisinau, Moldova, Municipal Clinical Emergency Hospital, Chisinau, Moldov
Development and Use of a Small Laboratory Intensive Quenching (IQ) System
Intensive quenching (IQ) has been defined as “those quenching conditions that lead to uniform maximum surface compressive stresses,” which provide maximum surface compressive stresses with correspondingly optimized distortion control. An earlier paper described the design and construction of a laboratory system that provides sufficient heat transfer rates to be classified as an IQ system. This paper describes the experimental work conducted with this laboratory IQ system. Particular focus will be on construction and use of this laboratory device to quench SAE 5160 spring steel under IQ conditions and the corresponding cooling curves, heat transfer rates, and compressive stresses obtained
Forecasting financial vulnerability in the USA: A factor model approach
© 2020 John Wiley & Sons, Ltd. This paper presents a factor-based forecasting model for the financial market vulnerability, measured by changes in the Cleveland Financial Stress Index (CFSI). We estimate latent common factors via the method of the principal components from 170 monthly frequency macroeconomic data in order to forecast the CFSI out-of-sample. Our factor models outperform both the random walk and the autoregressive benchmark models in out-of-sample predictability at least for the short-term forecast horizons, which is a desirable feature since financial crises often come to a surprise realization. Interestingly, the first common factor, which plays a key role in predicting the financial vulnerability index, seems to be more closely related with to activity variables rather than nominal variables. We also present a binary-choice version factor model that estimates the probability of the high stress regime successfully