Autophagy clears long-lived proteins and dysfunctional organelles and generates substrates for adenosine triphosphate production during periods of starvation and other types of cellular stress. Here we show that high mobility group box 1 (HMGB1), a chromatin-associated nuclear protein and extracellular damage-associated molecular pattern molecule, is a critical regulator of autophagy. Stimuli t...

The Formation of Migrant Networks This paper provides the first direct evidence on the determinants of link formation among immigrants in the host society. We use a purposely-designed survey on a representative sample of Sri Lankan immigrants living in Milan to study how migrants form social links among them and the extent to which this network provides them with material support along three di...

We have synthesized the fluorine-I 8 labeled derivative of N-fert-butyl-aphenylnitrone (PBN), a free radical spin trapping agent widely used with electron spin resonance (ESR). N-tert-Butyl-a-(4-[18F]fluorophenyl)nitrone ([18F]FPBN) could be prepared with low radiochemical yield (3% decay corrected) by the direct aromatic nucleophilic substitution of N-tertbutyl-a-(4-nitrophenyl)nitrone with [1...

The purpose of this paper is to propose a hybrid model which combines locally linear embedding (LLE) algorithm and support vector machines (SVM) to predict the failure of firms based on past financial performance data. By making use of the LLE algorithm to perform dimension reduction for feature extraction, is then utilized as a preprocessor to improve business failure prediction capability by ...

Modelling of technological processes of heat treatment or welding, involving multiple heat source transitions, requires considering the phenomenon of tempering. In work have been presented results of dilatometric research of hardened C45 steel subjected to tempering. The analysis of the infl uence of heating rate at the kinetic determined from dilatometric curves has been made. There have also ...

The paper considers the conjecture that forecasts from preferred economic models or theories d-separate forecasts from less preferred models or theories from the actual realization of the variable for which a scientific explanation is sought. Dseparation provides a succinct notion to represent forecast dominance of one set of forecasts over another; it provides, as well, a criterion for model p...

We describe a supervised learning algorithm, EODG that uses mutual information to build an oblivious decision tree The tree is then converted to an Oblivious read-Onre Decision Graph (OODG) b\ merging nodes at the same level of the tree For domains that art appropriate for both decision trees and OODGs, per formance is approximately the same aS THAT of C45 ), but the number of nodes in the OODG...

One of the most significant factors influencing the liquidity of the financial market is the amount of currency in circulation. Although the central bank is responsible for the distribution of the currency it cannot assess the demand for the currency, as that demand is influenced by the non-banking sector. Therefore, the amount of currency in circulation has to be forecasted. This paper introdu...

We specify a class of non-linear and non-Gaussian models for which we estimate and forecast the conditional distributions with daily frequency. We use these forecasts to calculate VaR measures for three different equity markets (US, GB and Japan). These forecasts are evaluated on the basis of different statistical performance measures as well as on the basis of their economic costs that go alon...

This study evaluates the performance of feed-forward neural networks to model and forecast recovery rates of defaulted bank loans. In order to guarantee that the predictions are mapped into the unit interval, the neural networks are implemented with a logistic activation function in the output neuron. The statistical relevance of explanatory variables is assessed using the bootstrap technique. ...