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. 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. The trait model as developed by Konstantin Vasily Petrides, "encompasses behavioral dispositions and self perceived abilities and is measured through self report"  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. It has been argued that EI is either just as important as one's intelligence quotient (IQ). History Definitions Ability model Measurement
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 Why do academics choose useless titles for articles and chapters? Four steps to getting a better title. An informative title for an article or chapter maximizes the likelihood that your audience correctly remembers enough about your arguments to re-discover what they are looking for. Without embedded cues, your work will sit undisturbed on other scholars’ PDF libraries, or languish unread among hundreds of millions of other documents on the Web. Patrick Dunleavy presents examples of frequently used useless titles and advises on using a full narrative title, one that makes completely clear your argument, conclusions or findings. When you want to get your paper or chapter read and appreciated by a wide audience, adopted for courses, and hopefully cited by great authors in good journals — in short, when you want to ‘sell’ your writing to colleagues — titles can play a key role. It is obvious too that a title is how you ‘brand’ your text, how you attract readers. Image credit: sailko (CC BY-SA) Even after other researchers have found and read your text, titles remain important. About the Author
***** PivotTables in Excel - JCla Let's suppose you've compiled a large list (list: A series of rows that contains related data or a series of rows that you designate to function as a datasheet by using the command.) of data—for example, sales figures for every product your company makes. You're now ready to extract some meaningful information from the data, and find answers to questions like: What are the total sales for each product by region? To answer these and other questions, you can create a PivotTable® report—an interactive table that automatically extracts, organizes, and summarizes your data. For example, you can use the data in the following illustration... ...to create a PivotTable report that displays how each product is selling in each sales region, as shown in the next illustration. The following sections provide an overview and map out a sequential process for effectively working with PivotTable reports. Overview of working with PivotTable reports For example, you can add a page field for the Year category.
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.
How to write a scientific paper Several years ago, my long-time mate, colleague and co-director, Barry Brook, and I were lamenting how most of our neophyte PhD students were having a hard time putting together their first paper drafts. It’s a common problem, and most supervisors probably get their collective paper-writing wisdom across in dribs and drabs over the course of their students’ torment… errhm, PhD. And I know that every supervisor has a different style, emphasis, short-cut (or two) and focus when writing a paper, and students invariably pick at least some of these up. But the fact that this knowledge isn’t innate, nor is it in any way taught in probably most undergraduate programmes (I include Honours in that list), means that most supervisors must bleed heavily on those first drafts presented to them by their students. Yes, there are books on the issue (see, for example, Day & Castel 2011, Hofmann 2009, Schimel 2011), but how many starting PhDs sit down and read such books cover to cover? -1. 0. 1. 2. 3.
Join academic societies - LE 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. legend(...