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Office 365: Adding Content Controls to Word Documents

In today’s Ask the Admin, I’ll show you how to add content controls to your documents in Word 2016. Using a form in a Word document may seem like a feature that’s only useful for creating questionnaires, but content controls such as text fields, checkboxes and drop-down menus can also be used in collaboration scenarios where you want to share a document but guide colleagues on where they should provide input. When used alongside the ability to restrict editing in a document, as I demonstrated a couple of weeks ago on Petri in An Office 365 Tip on Restricting Editing in Word 2016, content controls are especially useful in ensuring that only specific parts of a document can be modified. Before you can add content controls to a document, you need to enable the Developer tab in the ribbon. Unlike the old Active X controls used with VBA, content controls in newer versions of Word aren’t a security risk and are compatible with Open XML Automation. 

Let’s look at the available content controls on the Developer tab. In the Controls section of the Developer tab, you’ll see that the first two controls are for adding plain and rich text fields. Position the cursor in the document in the place where you’d like to add the control, and then click the Rich Text Content Control icon on the ribbon. Make sure the new content control is selected by clicking the small tab attached to the control’s border – when selected the control will turn grey – and then click Properties in the Controls section of the Developer tab. If you don’t want users to be able to delete the content control, check Content control cannot be deleted below Locking. 

Place the cursor in the document and add the Date Picker Content Control by clicking the icon in the Controls section of the Developer tab. Along with the title, tag and formatting restrictions available in the Rick Text Content Control, you’ll see under Date Picker Properties options for allowing you to control how the date is formatted in the document. 

Keywords: [“control”,”content”,”document”]

Without an automated, industrialized content creation and management framework, the creation of contents for AR applications is extremely complex and expensive. Our approach is oriented to the extraction and elaboration of specific textual contents in order to enable the development of further virtual contents, which are suitable for augmented reality applications. Our research aims at reproducing analogous mechanisms using Artificial Intelligence in order to detect specific editorial contents of a print media with the target to transform them into potential AR contents for the final user of a hybrid media system. Detecting different typologies of contents and mining the existing available textual content, the content management of hybrid media becomes more affordable and smarter. Accessing the platform, the content manager has the possibility to validate the AR contents proposed by the system. 

As soon as specific textual contents have been detected and isolated from the editorial articles, the framework identifies relevant AR contents. These contents can be extracted textual entities or related virtual contents, which are selected into databases associated to specific knowledge fields. Processing the textual information provided by a publishing company during the phase of creation of new editorial contents, it is possible to detect relevant data for the creation of AR contents. The available virtual contents may be divided into three different typologies: Browser based contents. Reading a paper-based editorial article, the user has the possibility to reach several typologies of contents which are related to the editorial content. 

Relevant information about detected textual contents and possible AR contents. Our research designs a structured and persistent modification of the offer of contents for print media through the definition of a new hybrid media environment, where the issues of content creation and content management are faced with an innovative approach. 

Keywords: [“content”,”media”,”Print”]

Febooti Automation Workshop

Automation Workshop is software for automation of complex and recurring processes that would otherwise take a lot of intensive and repetitive user work time. In the very core of automation is creation of Tasks that include Triggers and Actions as key components, each being optimized for intuitive comprehension through simple yet efficient interface. Automation Workshop can monitor specified folders for changes, and automatically launch appropriate Task to handle the situation in predefined yet flexible way. Features powerful Start application and Run DOS command Actions, that provide user with means both for executing Windows command interpreter commands and connecting Automation Workshop with almost any application already deployed within company’s IT infrastructure. Tasks feature advanced Run As settings that allow Task execution with different credentials and within different user environments, depending on whether user is logged in or not. 

Take automation even further with System Startup Trigger, to automate the Tasks that are to be executed either upon system startup or shutdown. Features powerful Task failure handling and notification procedures, that allow user to be aware of possible problems, and the program to work on these issues automatically. Once set up, Automation Workshop runs unattended as Windows service without requiring user to log in. Designed with multi core processors in mind, it implements Task execution strategies that allow parallelizing Tasks. Intuitive interface with Task creation and configuration Wizards will lead you through Task designing process without requiring scripting skills or preliminary training. 

Queue manager provides overview on all currently running and pending Tasks, allowing user to manually execute Task before its planned run or, on the contrary, delete pending Tasks before they are started. Powerful error handling options allow user to avoid or circumvent issues by running additional predefined Tasks automatically. 

Keywords: [“Task”,”Automation”,”user”]