The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery

The International Human Epigenome Consortium (IHEC) coordinates the generation of a catalog of high-resolution reference epigenomes of major primary human cell types. The studies now presented (see the Cell Press IHEC web portal at http://www.cell.com/consortium/IHEC) highlight the coordinated achievements of IHEC teams to gather and interpret comprehensive epigenomic datasets to gain insights in the epigenetic control of cell states relevant for human health and disease

A practical approach to defining aerosol-generating procedures

10.1017/ice.2021.184Infection Control and Hospital Epidemiology2021-05-0

Aluminium matrix composites reinforced by nano Fe \u3c inf\u3e 3 O \u3c inf\u3e 4 doped with TiO \u3c inf\u3e 2 by thermomechanical process

© The Society for Experimental Mechanics, Inc. 2017. In this work, scrap Aluminium Matrix Composites (AMCs) reinforced with 10 wt% nano iron oxide (Fe3O4) were produced and the influence of doping Fe3O4 with TiO2 at 2.5 %, 5 %, 7.5 % and 10 % wt%, was studied. For the dispersion of the reinforcement and the study of the matrix/reinforcement, interface was evaluated by Scanning Electron Microscopy (SEM). Density and microhardness of the composites were measured and compared. Wear and creep response of the composites were evaluated by a nanoindenter, Furthermore modulus and hardness of the composites were calculated using the unloading data from the nanoindentation tests. Relatively homogenous distribution of the constituents, with a good bond between matrix and the reinforcements was observed. It was also observed that wear behaviour improved with the increase in the TiO2 content

Applications of computational intelligence in industrial and environmental scenarios

Computational Intelligence (CI) techniques are receiving increasing attention by the industrial and academic communities involved in the design of automatic systems for industrial and environmental monitoring and control applications. CI techniques are able to aggregate inputs from several heterogeneous sensors, adapt themselves to wide ranges of operational and environmental conditions, and cope with incomplete or noise-affected data. With current computing architectures evolving towards smaller size, higher computational power, and more affordable cost, a great number of devices can embed CI techniques to support different kinds of applications. In this paper, we present a survey of the recent CI methods designed for the main processing steps of industrial and environmental monitoring systems