Neutralization of Acidic Industrial Wastes and Fixation of Trace Element by Oil Shale Ash: Formation of a Green Product.

Oil shale is a rock that contains organic matter in a concentration that allows it to be used as an energy source. As a result of the shale combustion process, large amounts of two types of ash are formed: fly ash (∼10%) and bottom ash (∼90%). At present, in Israel, only fly oil shale ash is used, which constitutes a minority of the oil shale burn products, whereas bottom oil shale ash is accumulated as waste.

TGA-DSC Combined Coal Analysis as a Tool for QC (Quality Control) and Reactivity Patterns of Coals.

Coal is at present a major fuel source for power generation worldwide and will remain as such in the near future. The most important property of coal that determines its price is its calorific value. However, volatiles, ash, and moisture content are also very important properties needed for the quality control (QC) of the coal used to maintain an optimal operation of coal combustion in a boiler.

Noninvasive Assessment of Fibrosis Regression after Direct-acting Antiviral Treatment in Hepatitis C Virus Patients.

Background: New direct acting antiviral agent (DAA) therapies are associated with a high sustained virological response rate (SVR) in hepatitis C virus (HCV) patients. The understanding of the impact of SVR on fibrosis stage is limited.

Objectives: To determine the effect of treatment with the DAAs on long-term liver fibrosis stages, as determined by shear-wave elastography (SWE) or FibroTest.

Mechanism Underlying the Emission of Gases during the Low-Temperature Oxidation of Bituminous and Lignite Coal Piles: The Involvement of Radicals.

Coal is one of the major fuels for power generation, and it will continue in this capacity for the next several decades. Two types of coal are mainly used: lignite and bituminous coals. When exposed to air, post-mining, the coal surface undergoes LTO (low-temperature oxidation) at RT-150 °C according to the atmospheric oxygen level.

Distribution of shortest cycle lengths in random networks.

We present analytical results for the distribution of shortest cycle lengths (DSCL) in random networks. The approach is based on the relation between the DSCL and the distribution of shortest path lengths (DSPL). We apply this approach to configuration model networks, for which analytical results for the DSPL were obtained before.