IntroductionAs the novel coronavirus (2019-nCov) globally spreads, the coronavirus disease (COVID-19) pandemic is straining healthcare workers worldwide . In hospitalized patients with severe COVID-19, endotracheal intubation is one of the most common and indispensable life-saving interventions. In a recent report from the City of New York, 12% of COVID-19 patients required invasive mechanical ventilation . Since difficult weaning and prolonged mechanical ventilation represent the two most common indications for tracheostomy in Intensive Care Unit (ICU), it may play a central role in COVID-19 management . During the 2019-nCov pandemic the aerosol generating procedures, such as tracheostomy, expose physicians at high risk to contract the \soutCOVID-19 infection . Accordingly, special consideration may be done to protect otolaryngologists, general surgeons and critical care physicians from the risk of infection while performing a tracheostomy in COVID-19 patients . Percutaneous tracheostomy (PT) is routinely performed at the bedside in intensive care unit (ICU); unfortunately, a modified protocol to perform PT in COVID-19 patients included several critical steps associated with increased risk of aerosol generation, such as changing the catheter mount, repositioning the endotracheal tube cuff to the level of the vocal cords and removal of large dilator . So far, there has been no prior description in the literature of how to minimize the aerosol generation during PT. We reported a modified percutaneous tracheostomy technique aiming to minimize the risk of aerosol generation and to increase the staff safety in COVID-19 patients.
Pellentesque tincidunt lobortis orci non venenatis. Cras in justo luctus, pulvinar augue id, suscipit diam. Morbi aliquet fringilla nibh, vel pellentesque dui venenatis eget. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec ultricies ultrices magna gravida porta. Maecenas accumsan diam dui, auctor ornare ex pellentesque id. Integer tempus massa id augue finibus convallis. Nulla vestibulum, nisl id tempor pulvinar, felis dui pellentesque lacus, quis bibendum metus enim sed ex.
Hello, and welcome to Authorea!👋 We're happy to have you join us on this journey towards making writing and publishing smoother, data-driven, interactive, open, and simply awesome. This document is a short guide on how to get started with Authorea, specifically how to take advantage of some of our powerful tools. Of course, feedback and questions are not only welcome, but encouraged--just hit the comment icon at the top of the document 💬and join the conversation.The BasicsAuthorea is a document editing and publishing system built primarily for researchers. It allows you to collaborate on documents and publish them easily. Each Authorea document can include data, interactive figures, and code. But first, let's get started! 1. Sign up.If you're not already signed up, do so at authorea.com/signup. Tip: if you are part of an organization, sign up with your organizational email. 2. First stepsDuring the signup process you will be asked a few questions: your location, your title, etc. You will be also prompted to join a group. Groups are awesome! They allow you to become part of a shared document workspace. Tip: during signup, join a group or create a new one for your team. Overall, we suggest you fill out your profile information to get the best possible Authorea experience and to see if any of your friends are already on the platform. If you don't do it initially during sign up, don't worry; you can always edit your user information in your settings later on.Once you've landed on your profile page (see below). There are a few things you should immediately do:Add a profile picture. You've got a great face, show it to the world :) For reference, please see Pete, our chief dog officer (CDO), below. Add personal and group information. If you haven't added any personal information, like a bio, a group affiliation, your ORCID, or your location, do it! You might find some people at your organization already part of Authorea, plus it is a great way to build your online footprint, which is always good for getting jobs.
We're in a crisis We are in the midst of an unprecedented global crisis. Just weeks since its outbreak, the Coronavirus pandemic (COVID-19) has already affected, and will continue to affect, our daily lives, around the globe, for the foreseeable future. The answers and the solutions to this crisis will come from science. But the crisis affects science, too.It affects students, educators, and researchers; not just their day-to-day lives, social ties, and work routines, but also their ability to actively collaborate, convene in face-to-face meetings, attend academic conferences, teach and learn in an open university setting, pay a visit to the library, work overnight at the laboratory, and so on.But the thing is: science cannot stop. Scientific progress must go on. For each one of the challenges that scientists face in this time of crisis, there is, or there will be, a solution. We believe that the solution is not to be found in a single technological tool, product, framework, institution, funding agency, or company. It is the global cyber-infrastructure of scientific collaboration, built on scientific rigor, intellectual curiosity, and cooperation, that will enable science to advance in such difficult times. The power of scientific collaborationAs scientists, publishers, science communicators and technologists, we believe that: a. Science is the solution to the ongoing crisis. Now more than ever, reliance on the scientific method, rigor and clarity of scientific communication, transparency, reproducibility, and seamless sharing of all research data (including negative results), are fundamental to solving this health crisis and advancing human progress.b. Global collaboration and cooperation, beyond and above national and economic interests, is necessary not only at the scientific level, but also at the political and societal level. We're more interconnected and interdependent today than ever. And such interconnectedness extends to the ecological ecosystem in which we live. A crisis of such scale requires global solidarity, bipartisan political action, civic participation, and long-term thinking.
The arXiv is the most popular preprint repository in the world. Since its inception in 1991, the arXiv has allowed researchers to freely share publication-ready articles prior to formal peer review. The growth and the popularity of the arXiv emerged as a result of new technologies that made document creation and dissemination easy, and cultural practices that incentivized collaboration and data sharing. The arXiv represents a unique place in the history of research communication and the Web itself, however it has arguably changed very little since its creation. Here we look at the strengths and weaknesses of arXiv in an effort to identify what possible improvements can be made based on new technologies not previously available. Based on this, we argue that a modern arXiv might in fact not look at all like the arXiv of today.
This is a generic template designed for use by the journal International Journal of Circuit Theory and Applications. Please consult the journal's author guidelines in order to confirm that your manuscript complies with the journal’s requirements. When you are ready to submit your manuscript, download/export it in LaTeX, Word, or PDF format and submit your document at https://mc.manuscriptcentral.com/ijcta. Please replace this text with your abstract. Keywords --- keyword 1, keyword 2, keyword 3, keyword 4, keyword 5, keyword 6, keyword 7
How do we collectively feel about our future? Do we look forward to it with anxiety or vigor? Are we apprehensive or optimistic of what the future will bring? Since mood affects performance and well-being, the answers to these questions matter greatly to anyone concerned with public policy. The web is awash with material indicative of public mood, collective forecasting and personal relics. Several efforts have been undertaken to assess emotional status from online sources such as blogs, emails, web sites (Balog & De Rijke 2006) and search engine queries (see, for example, Google Trends). However, these efforts are limited, by the nature of their source material, to hindsight and near-present observations. The work presented here is concerned with collective speculations about the future. We present a visual analysis of publicly available textual content from futureme.org, a popular web service that allows its users to send themselves emails to be delivered at a later date, up to 30 years in the future. Many of these emails resemble "confessional" time capsules: their content is intended to project the user’s present emotional state at the origination date towards the indicated delivery date. These emails fall into two broad categories of content: a) conjectures about the future and b) mementos regarding the present or the past. By aggregating mood indicators extracted from messages directed to future dates, we can thus assess short and long term shifts in the collective emotional perception toward a particular point in the future. This principle is related to "wisdom of crowd" phenomena as observed in finance and prediction markets (Surowiecki 2004). Numerous psychometric instruments to assess individual mood states and monitor their fluctuations over time exist, the most prominent of which is the 65 item Profile of Mood States (POMS) questionnaire (McNair, Loor, & Droppleman 1971). The 6 dimensional factor analytical structure of the POMS (tension, depression, anger, vigor, fatigue and confusion) has been validated repeatedly (Norcross, Guadagnoli, & Prochaska 2006) and applied in hundreds of studies since its inception (McNair, Heuchert, & Shilony 2003). To make the POMS questionnaire applicable to the open-ended nature of email content, we extended the POMS set of 65 adjectives by nearly 793 synonyms using WordNet and Roget’s Thesaurus. We calculated the occurrences of extended POMS terms in the content of 30,000 publicly available "future" emails and mapped them to a normalized six-dimensional mood vector representing levels of tension, depression, anger, vigor, fatigue and confusion. These mood vectors were grouped according to the delivery date of the original email, resulting in a set of mood state vectors. Statistically significant mood changes were detected especially for depression and vigor indicators. The computation of mood levels was then implemented with a more specific textual analysis of the entire email corpus, aimed at identifying manifestations of conjectures and mementos. The results, presented in this poster, blend two different visual representation of the content analyzed: an "emotional timeline" - a cumulative depiction of mood levels between 2007 and 2036 - and a superimposed topic map of mementos and conjectures - an ontological model of commonly used terms and adjectives illustrating the chains of word association.