Electro-thermal model extraction for MMIC Power amplifiers

This paper presents a simple procedure to extract an electrothermal model for MMIC power amplifiers. The model accounts for the DC and RF performance of MMIC complex structures for-med by multiple transistors combined in different amplifying stages. All the steps taken to perform the thermal and electrical experimental characterization to obtain the model are explained. The extracted model was validated by comparing measured and simulated data of a commercial GaAs FETMMIC power amplifier. Is was also used to predict the hot spot temperature and position over a wide range of working conditions

Decreasing and stabilising trends of antimicrobial consumption and resistance in Escherichia coli and Klebsiella pneumoniae in segmented regression analysis, European Union/European Economic Area, 2001 to 2018

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Decreasing and stabilising trends of antimicrobial consumption and resistance in and in segmented regression analysis, European Union/European Economic Area, 2001 to 2018.

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadInvestments to reduce the spread of antimicrobial resistance (AMR) in the European Union have been made, including efforts to strengthen prudent antimicrobial use. Using segmented regression, we report decreasing and stabilising trends in data reported to the European Surveillance of Antimicrobial Consumption Network and stabilising trends in data reported to the European Antimicrobial Resistance Surveillance Network. Our results could be an early indication of the effect of prioritising AMR on the public health agenda.El Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica 2013-2016 Instituto de Salud Carlos III, Subdireccion General de Redes y Centros de Investigacion Cooperativa, Ministerio de Economia, Industria y Competitividad, Spanish Network for Research in Infectious Diseases European Development Regional Fund "A way to achieve Europe", Operative program Intelligent Growth 2014-2020 Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC

Gene editing in the context of an increasingly complex genome

Abstract The reporting of the first draft of the human genome in 2000 brought with it much hope for the future in what was felt as a paradigm shift toward improved health outcomes. Indeed, we have now mapped the majority of variation across human populations with landmark projects such as 1000 Genomes; in cancer, we have catalogued mutations across the primary carcinomas; whilst, for other diseases, we have identified the genetic variants with strongest association. Despite this, we are still awaiting the genetic revolution in healthcare to materialise and translate itself into the health benefits for which we had hoped. A major problem we face relates to our underestimation of the complexity of the genome, and that of biological mechanisms, generally. Fixation on DNA sequence alone and a ‘rigid’ mode of thinking about the genome has meant that the folding and structure of the DNA molecule —and how these relate to regulation— have been underappreciated. Projects like ENCODE have additionally taught us that regulation at the level of RNA is just as important as that at the spatiotemporal level of chromatin. In this review, we chart the course of the major advances in the biomedical sciences in the era pre- and post the release of the first draft sequence of the human genome, taking a focus on technology and how its development has influenced these. We additionally focus on gene editing via CRISPR/Cas9 as a key technique, in particular its use in the context of complex biological mechanisms. Our aim is to shift the mode of thinking about the genome to that which encompasses a greater appreciation of the folding of the DNA molecule, DNA- RNA/protein interactions, and how these regulate expression and elaborate disease mechanisms. Through the composition of our work, we recognise that technological improvement is conducive to a greater understanding of biological processes and life within the cell. We believe we now have the technology at our disposal that permits a better understanding of disease mechanisms, achievable through integrative data analyses. Finally, only with greater understanding of disease mechanisms can techniques such as gene editing be faithfully conducted