Emotional intelligence Emotional intelligence (EI) can be defined as the ability to monitor one's own and other people's emotions, to discriminate between different emotions and label them appropriately, and to use emotional information to guide thinking and behavior.[1] There are three models of EI. The ability model, developed by Peter Salovey and John Mayer, focuses on the individual's ability to process emotional information and use it to navigate the social environment.[2] The trait model as developed by Konstantin Vasily Petrides, "encompasses behavioral dispositions and self perceived abilities and is measured through self report" [3] The final model, the mixed model is a combination of both ability and trait EI, focusing on EI being an array of skills and characteristics that drive leadership performance, as proposed by Daniel Goleman.[4] It has been argued that EI is either just as important as one's intelligence quotient (IQ). History[edit] Definitions[edit] Ability model[edit] Measurement[edit]
4. Creating your first scientific poster with PosterGenius | Create your scientific poster in less than 10 minutes Topic: Learn how to create your first scientific poster with PosterGenius™. Soon after you launch PosterGenius™ you will see the Welcome screen. Welcome screen Click on "New poster from Wizard". A poster creation guide is launched, which will guide you to create your scientific poster through a few simple steps. Step 1 of 4 In the first step, define the dimensions of your scientific poster according to the conference guidelines. Note: Owners of a PosterGenius™ License are eligible for free updates to the Library of Conference Guidelines. You may also filter the list by professional or research field and year, in order to see only conferences that you are interested in. Furthermore, you may search in the "Search..." field for the name or part of the name of the conference you are interested in. Lastly, if the conference to which you are submitting your scientific poster is not included in the library, you may manually define the poster dimensions. Step 2 of 4 Step 3 of 4 Step 4 of 4 Adding Text.
Academic Phrasebank The sketchnote revolution « Dachis Group Collaboratory I’ve got an idea for a new year’s resolution: Join the sketchnote revolution. Sketchnotes are a visual form of note-taking that can include drawings, various lettering sizes and styles, color, icons, arrows, boxes and more — whatever works for you. I’d say that sketchnoting is officially a movement — maybe you’ve seen some from SXSWi or other conferences. But these sketchnotes are pretty great. We all go to conferences. Enter sketchnotes. Seriously, anybody can do it. Benefits of Sketchnotes By writing and drawing key concepts you can make a better connection with the content as opposed to just typing out someone’s words.Non-linear note-taking lets you arrange things in ways that make sense to you and allows you to go back embellish and enhance key points.Simply by doing it more, you become better at drawing and less self-conscious about it.People actually are interested in reading notes like this — they get passed around. In my view there are two ways to do sketchnotes. Draw!
Source Parameter Search If the selected source(s) is associated with an event, and this event also satifies all of the other search criteria, then the event will be selected for output. Select from USGS, Global CMT, or, Others. One or more more data sources may be selected. The default is all sources. USGS selects data from the USGS National Earthquake Information Center. USGS Moment Tensor Solutions Data are available starting January 1980. USGS Radiated Energy Data are available starting November 1986. USGS Fault Plane Solutions Data are available starting January 1980. Global CMT Global CMT selects data contributed from the Lamont-Doherty Seismology Group. Centroid, Moment Tensor Data are available starting January 1977. Currently GSN, IDA/IRIS data are used. See the Global CMT Catalog Search and the Harvard Seismology Home Page. Others Others selects data from other contributors, such as the University of California, Berkeley (BRK), and the Laboratoire de Geophysique, Papeete, French Polynesia (PPT),
Get Your Writing Fighting Fit Chapter 3 Logicians may reason about abstractions. But the great mass of men must have images.--Thomas Babington Macaulay In writing, empty calories come in the form of filler words, abstractions, redundancies, and oxymorons. Eliminate meaningless phrases. In speech, little conversational superfluities lighten the linguistic load for our listeners by filling time with material a listener can discount quickly, leaving the mind free to focus on meaty matters.In written text, these fillers require too much attention and cost money to put on the page.Every editor has a hit list of these useless phrases. Get rid of these empty calories and all their cousins. Make abstractions concrete. Concrete nouns name things we access through our senses. Abstract nouns are those that make no clear image in the mind. The farther you move from the concrete in your writing, the more uncertain your communication. Sometimes you must use abstract terms. Original sentence: People with a disability will have access issues.
Resources for GRADEpro | The Cochrane IMS HELP files We highly recommend using the HELP files found in the GRADEpro software. The HELP files provide specific information to create Summary of Findings (SoF) Tables and use the GRADE approach to grade the quality of the evidence. Also found in the HELP files is a brief step by step task list to create an SoF. The Cochrane Handbook The Cochrane Handbook includes two principle chapters which provide information on how to create Summary of Findings Tables using the information from Cochrane systematic reviews and GRADEing the evidence. Chapter 11: Presenting results and ‘Summary of findings’ tables Chapter 12: Interpreting results and drawing conclusions Webinars and online modules Online modules for GRADE criteria and Summary of Findings TablesA variety of online modules have been created to help GRADE the evidence in systematic reviews and create Summary of Findings Tables. Also available is the pdf of the slides used during the webinar(without commentary). Additional materials
Graph legend for lines and patches - MATLAB The legend function places a legend on various types of graphs (line plots, bar graphs, pie charts, etc.). For each line plotted, the legend shows a sample of the line type, marker symbol, and color beside the text label you specify. When plotting filled areas (patch or surface objects), the legend contains a sample of the face color next to the text label. The font size and font name for the legend strings match the axes FontSize and FontName properties. legend('string1','string2',...) displays a legend in the current axes using the specified strings to label each set of data. legend(h,'string1','string2',...) displays a legend on the plot containing the objects identified by the handles in the vector h and uses the specified strings to label the corresponding graphics object (line, barseries, etc.). legend(M) adds a legend containing the rows of the matrix or cell array of strings M as labels. legend(axes_handle,...) displays the legend for the axes specified by axes_handle.
: Quick and Dirty Tips ™ Mignon Fogarty is the creator of Grammar Girl and the founder and managing director of Quick and Dirty Tips. A magazine writer, technical writer, and entrepreneur, she has served as a senior editor and producer at a number of health and science web sites. She has a B.A. in English from the University of Washington in Seattle and an M.S. in biology from Stanford University. Mignon believes that learning is fun, and the vast rules of grammar are wonderful fodder for lifelong study. She strives to be a friendly guide in the writing world. Grammar Girl provides short, friendly tips to improve your writing. To book a lecture event with Mignon Fogarty for your company or organization, contact Macmillan Speakers. Follow Mignon on Google+, Twitter, Facebook, StumbleUpon, LinkedIn, and Pinterest. Awards Media The Oprah Winfrey Show, Grammar Girl Fixes Common Mistakes, March 2007 "Mignon has come up with clever ideas to help even the most grammatically challenged person remember the rules." "Helpful.
Big Five personality traits In psychology, the Big Five personality traits are five broad domains or dimensions of personality that are used to describe human personality. The theory based on the Big Five factors is called the five-factor model (FFM).[1] The five factors are openness, conscientiousness, extraversion, agreeableness, and neuroticism. Acronyms commonly used to refer to the five traits collectively are OCEAN, NEOAC, or CANOE. Beneath each global factor, a cluster of correlated and more specific primary factors are found; for example, extraversion includes such related qualities as gregariousness, assertiveness, excitement seeking, warmth, activity, and positive emotions.[2]:24 The Big Five model is able to account for different traits in personality without overlapping. §Five factors[edit] A summary of the factors of the Big Five and their constituent traits, such that they form the acronym OCEAN:[4] Openness to experience: (inventive/curious vs. consistent/cautious). §Openness to experience[edit]
CTM: Plotting in Matlab Contents One of the most important functions in MATLAB is the plot function. The plot command also happens to be one of the easiest functions to learn how to use. The basic syntax of the function call is shown below. plot(x,y) This command will plot the elements of vector y (on the vertical axis of a figure) versus the elements of the vector x (on the horizontal axis of the figure). y=3x If we wished to plot this function, we could create an m-file with the following code to generate the basic plot shown below. x = 0:0.1:100; y = 3*x; plot(x,y) One thing to keep in mind when using the plot command is that the vectors x and y must be the same length. The plot command can also be used with just one input vector. Plot aesthetics The color, point marker, and line style can be changed on a plot by adding a third parameter (in single quotes) to the plot command. x = 0:0.1:100; y = 3*x; plot(x,y,'r:') You can also plot more than one function on the same figure. Subplotting subplot(m,n,p)
Guest Post: How I Went From Writing 2,000 Words a Day to 10,000 Words a Day by Rachel Aaron When I started writing The Spirit War (Eli novel #4), I had a bit of a problem. I had a brand new baby and my life (like every new mother’s life) was constantly on the verge of shambles. I paid for a sitter four times a week so I could get some writing time, and I guarded these hours like a mama bear guards her cubs – with ferocity and hiker-mauling violence. To keep my schedule and make my deadlines, I needed to write 4000 words during each of these carefully arranged sessions. But (of course), things didn’t work out like that. Needless to say, I felt like a failure. So, once and for all, here’s the story of how I went from writing 500 words an hour to over 1500, and (hopefully) how you can too: A quick note: There are many fine, successful writers out there who equate writing quickly with being a hack. Update! Side 1: Knowledge, or Know What You’re Writing Before You Write It The first big boost to my daily wordcount happened almost by accident. Side 2: Time