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Forced subtitles are often embedded within a full subtitle track. And a special flag is set on the portion of that track which is supposed to be forced. MakeMKV can recognize that flag when it converts the video into a single file. It can even extract just the forced portion of that subtitle into a another separate subtitle track. And it can set a different "forced" flag in the output file on that separate track so other software can tell what it's for.

Not all discs with forced subtitles have those subtitles embedded within other tracks. Sometimes they really are separate. But enough discs are designed with the embedded technique that you should avoid using a disc image directory as input for transcoding.

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is the most popular high definition, lossless audio format. It's used on more than 80% of all Blu-ray Discs.

Currently, HandBrake can't decode the lossless portion of a DTS-HD audio track. It's only able to extract the non-HD, lossy core which is in TROUSERS Casual trousers ST studio NbBhF7Cg
.

But MakeMKV can decode DTS-HD and convert it into FLAC format which can then be decoded by HandBrake and most other software. Once again, MakeMKV can only do this when it converts the video into a single file.

The option in controls the x264 video encoder, not the other preset system built into HandBrake. It takes a preset name as its single argument:

The x264 preset names (mostly) reflect their relative speed compared to the default, .

Presets faster than trade precision and compression efficiency for more speed. You may notice quality loss problems when using these presets, especially as speed increases.

However, you can increase encoding speed by 70-80% with no easily perceptible loss in video quality by using the option instead:

Presets slower than trade encoding speed for more precision and compression efficiency. Any quality improvement using these presets may not be perceptible for most input.

A faster and more perceptible way to improve quality is to simply raise the target video bitrate 50% by using the option and argument macro:

Use the default settings whenever possible.

Use the or options if your target player can't handle Matroska format.

Use the option if you're in a hurry.

Use before transcoding to manually review and apply the best crop values.

Don't add audio tracks in their original format that aren't AAC or Dolby Digital AC-3.

Don't add subtitles in their original Blu-ray Disc or DVD format.

Save your files so you can mine the data later.

Although the tool can accept multiple inputs, batch processing is still best handled by a separate script because options can be changed for each input.

A script can simply be a list of commands:

But a better solution is to write the script once and supply the list of movies and their crop values separately:

This requires a directory on disk with three items, one of which is a directory itself:

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7 min read
Hiring Human Resources Marketing Recruiting technology

There’s been a lot of chatter lately about the potential for artificial intelligence (A.I.) and machine learning to reshape business. Certainly it could reshape hiring, by casting a machine eye over the mountains of resumes sent to fill open positions.

But when it comes to hiring the right tech pros for various positions, A.I. can only go so far. In the end, it’s a hiring manager who interviews job prospects—raising the risk that a human could screw up. The solution may not involve more technology, but in making sure HR interacts with other parts of the business, including marketing and tech.

Balance of Power

“The balance of power is shifting from the employer to the employee,” said Mike Brenner, author and CEO of Marketing Insider Group. Job seekers are getting picky, and for good reason: for many, the workplace is more than just a place to earn a paycheck. “We always look for purpose and progress at work.”

That means HR really needs to sell the company to prospective employees as a great place to work. And therein lies an issue: companies usually focus their marketing efforts on the customer side of the business, with marketing executives rarely participating in HR strategy or brainstorming sessions. At many firms, HR and marketing operate in completely independent silos, despite lots of opportunities to have the two collaborate effectively.

In other words, branding can (and should) extend to the hiring relationship. Effective marketing can help a company win the war for talent. Imagine what could happen to your prospective talent pool if your firm has a widespread reputation as a “great place to work.”

“HR can learn a lot from marketing.” saidTom Haak, Director at the HR Trend Institute. “Many organizations know their customers better than their employees. HR often still works with very rough segments (‘High potentials,’ ‘The older employee’).” With the techniques of today, he added, “you can detect preferences and needs on an individual level. “

In order for marketing to fully help HR sell the company to prospective employees, HR executives need to understand the business and its ultimate objectives. “The number one thing that companies need to do in order to attract and retain top talent is to ensure that their recruiting systems and processes align with that goal.” said Deb Wheatman, President of Careers Done Write, Inc.

HR can also learn a lot from data. As every hiring manager knows, a typical company sits on a mound of employee-related info—all of which is valuable, provided it’s analyzed correctly.

We’ve updated our Privacy Policy to give you more control over your information and support new European data protection laws. You can review the changes .

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强力驱动
Welcome
Use the NVivo Help
What's new in NVivo 11
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Concepts, strategies and techniques
The NVivo workspace
Projects
Teamwork and project users
Sources
Nodes
Classifications
Collections
Coding
About coding
Coding techniques
Remove coding
Automatic coding techniques
About automatic coding techniques
Automatic coding in document sources
Automatic coding in dataset sources
Automatic coding in audio and video sources
Automatic coding using existing coding patterns
Range code your sources
Coding source types
Explore coding
Memos
Framework matrices
Annotations
Links
Queries
Charts
Diagrams
Social network analysis
Automated insights
Color
Reports and extracts
Print and export
advanced find
Advanced Find lets you search for project items that meet certain criteria. You can set the search criteria to suit your requirements. For example, you could search for items with certain properties or sources that are coded at specific nodes.
aggregate
Gather the content of child nodes to the parent node. You can turn aggregation on or off at the parent node. For example, if you turn on aggregation at the node 'Attitude' when you open the node, you will see everything coded at its child nodes 'Negative' and 'Positive'.
ancestor
An ancestor is any node in the sequence from the parent node to the top of the node hierarchy. A node may have more than one ancestor node (for example, a parent and parent's parent).
annotation
Text that is linked to specific content in a source. Like scribbled notes in the margin, annotations can be used to record notes, comments and observations about the content of a source. You can annotate sources directly or annotate source content displayed in node Detail View.
associated item
Project data that is connected to a selected item on a Project map. You build a project map by adding associated items to visually present your data.
associated view
A node which is displayed on the right (or below) a framework matrix. By default, the associated view displays content that is coded to the row (case) nodes in the framework matrix. You can change the content displayed or highlighted in the associated view.
attribute
Attributes are used to describe a classified source or case node. For example, a case node may be classified as 'person' with attributes for 'age' and 'sex'.
attribute value
The values of an attribute. For example, 'male' or 'female'.
audio
Source materials such as recorded interviews, podcasts, sound effects, and other forms of audio that may be relevant to your research. An audio source contains the audio file and optionally a transcript.
auto coding
Automatic coding techniques which are a quick way to code large amounts of content. You can use auto coding to code sources based on structure, style or existing coding patterns.
A band is a region on the Report Designer workspace that represents a part of the report. The main part of the report is called the Detail band. Page Header and Footer bands display on each page, while Report Header and Footer bands display at the beginning and end of the report. If your report includes grouping, you will also see Group Header and Group Footer bands.
boolean operator
The use of AND, OR or NOT to combine search terms.
boolean values
Value pairs such as True/False, Yes/No or 0/1
A case is research subject, for example, a person, place or organization. You can create a case node to gather all material related to a case. You can also classify the case node to record demographic attributes. For example, classify a case node as a 'person' and record attributes for 'age' and 'sex'.
centrality measures
Calculated values for the connections in a sociogram. You can view the values in grid format.
chart
A way of visualizing your data. You can use charts to show patterns in your data, such as the distribution of coding or attribute values.
child node
A node below a parent node.
classification sheets
Classification sheets list all the sources or cases nodes of a particular classification and display the attribute values for each source or case node. You can update attribute values in a classification sheet.
classifications
Classifications provide a way to record descriptive information about the sources and cases in your project. Source classifications allow you to record information about your sources (for example, bibliographical data). Case classifications allow you to record information about people, places or other entities (for example, demographic data about people). You can also create relationship types which allow you to record the nature of a relationship which is defined by a relationship node.
classify
The process of describing a source or case by setting the classification and attribute values. For example, classify a case as 'person' of a particular 'age' or 'sex'. You can classify sources and cases manually. You can also classify sources or cases by importing classifying information. If you auto code social media datasets (for example, a Facebook or Twitter dataset) by username, the username cases are automatically classified. If your project has other datasets, the Classify Cases from Dataset Wizard can use the values in classifying fields to set the attribute values on cases.
classifying field
A dataset field (column) which is used to store values that describe your data (for example, the age and sex of survey respondents) or scaled responses (for example, strongly agree or agree). You can use classifying fields to sort and filter the dataset, but you cannot code or query content stored in these fields.
cluster analysis
A tool for grouping sources, nodes or cases that share similar words, similar attribute values, or are coded similarly by nodes. Cluster analysis diagrams provide a graphical representation of sources, cases or nodes to make it easy to see similarities and differences. Sources, cases or nodes in the cluster analysis diagram that appear close together are more similar than those that are far apart.
codable fields
A dataset field (column) which is used to store the text that you want to analyze, for example, responses to open-ended survey questions. You can analyze the content of these fields (code, annotate, link and query), but you cannot use values in these fields to sort and filter the dataset.
codebook
A list of your thematic nodes and their descriptions that you can export from NVivo.
coded at
When you select content and categorize it as belonging to a specific theme node or case node, the text is said to be 'coded at' the node.
coding
Selecting source content and defining it as belonging to a specific theme node or case node. By creating themes nodes and coding at them, you can catalogue your ideas. Coding at case nodes lets you gather material about your research subjects or 'units of observation'.
coding context
The content that surrounds coded content in a source. When exploring a node, you can choose to spread coding to the context.
coding density
Areas in a source or node in which most coding occurs. The Coding Density bar is visible when you display Coding Stripes. The color graduations indicate the coding density from white (no coding), to light gray (minimal coding), to dark gray (maximum coding).
coding excerpt
All or part of a coding reference in a node. For text-based sources you can display the whole reference, the first paragraph or just the summary information.
coding reference
An occurrence of coding. When you open a node, you can see all the references to source material that are gathered at the node.
coding stripes
Colored stripes that enable you to see coding in a source or node.
collections
Collections are views (or groupings) of project items that are stored elsewhere in your project. The Collections group contains your Search Folders, Sets, and folders showing all the memo links, annotations and 'See Also' links in your project.
color
You can assign a color to users, sources, nodes, cases, relationships and attribute values. Color can help you to visually identify items in charts and coding stripes.
comparison diagram
A diagram comparing two of the same type of project items – for example, sources, nodes or cases – to show their similarities and differences in a project.
concept map
A free-form visualization made up of different shapes and connectors used to map out your ideas or to explore and present the connections in your theories.
connector
A line that joins shapes in a map or diagram.
control
Controls are rectangular objects on the Report Designer workspace that represent the information that will be displayed when the report is run. You can move and resize controls.
coverage
The percentage of a source that is coded at a node.
dataset
A type of source that contains structured data arranged in rows and columns. You can create a dataset by importing data from a spreadsheet, a tab or comma-separated text file or a database table. You can also create a dataset by importing NCapture files that contain data from Facebook or Twitter.
detail view
You explore project items such as sources, nodes, and maps in this view. Query results and visualizations are also displayed in Detail View. Display Detail View on the bottom or to the right of your screen. You can 'undock' Detail View if you prefer to work in a separate window.
document
Source material such as field notes, transcripts, interviews or any other material that is relevant to your project. You can create new documents in NVivo or import files that are in .doc, .docx, .txt, or .rtf format.
The name for the line element on a sociogram. Edges are the lines on a sociograms representing a connection, relationship or interaction between vertices.
edit mode
When you are in edit mode, you can edit the content of sources and maps. Sources and maps open in read-only mode, you must switch to edit mode, if you want to change the content.
egocentric sociogram
A diagram showing the social network surrounding the selected case.
event log
A log of changes to your project. If project logging is turned on, a project event is recorded whenever you change the project. For example, when you import a dataset, modify a document source, code source content at a node, or create and save a new query.
explore diagram
A dynamic diagram which focusses on a single project item and displays all of the project items connected to that item. Select a radial connected item and refocus the diagram on that item.
expressions
Expressions are used in reports to define what data is displayed on the report. Fields are a simple form of an expression. Expressions can also combine fields and functions to perform calculations based on the data in your report. To add or modify an expression, use Report Designer.
external
A type of source used to represent source material that cannot be imported into NVivo. This might include items such as physical books, or 8mm film. You can use the external to represent the item and summarize or describe the source material. You can code your summary or description, in the same way that you code text in a document source.
extract
A template for extracting data from NVivo to a data file. You can run a predefined extract supplied with NVivo, or create your own custom extract to select the data you want. The extracted data can be saved to a text file, spreadsheet or XML file.
field
Fields are types of information displayed in datasets, transcripts, picture logs, report results or extract results. Different records contain different data for these fields. For example a survey dataset might contain fields (columns) for name, age and responses to survey questions, and records (rows) containing values for each field.
framework matrix
A grid where the columns are theme nodes, the rows are case nodes, and the cells contain summaries. Each summary describes the content coded at the case node that is relevant to the theme.
fuzzy search
Find words of similar spelling when you run a Text Search query by entering a tilde (~) after the word.
graph
A visual representation of a project item showing how it is connected to other items in your project.
hierarchy chart
A hierarchy chart is a way to visualize your data to show the levels of a hierarchy. Tree maps show data as a series of nested rectangles. Sunburst diagrams show hierarchical levels as rings of a circle.
hyperlink
A link from content in a source to a file or URL outside of your NVivo project.
leaf node
In a node hierarchy, a node without children is a leaf node.
links
In NVivo, links refer to memo links, annotations and 'See Also' links.
list view
The top-right pane in the NVivo window. You view the contents of your NVivo folders in List View.
log entry
Comments, descriptions, notes, hyperlinks, or ideas entered against the whole or portion of the image in a picture source. A picture source may or may not contain log entries.
media file
Refers to both audio and video files.
A type of source that you might use to record thoughts and observations. If a memo is related to a particular source or node you can create a 'memo link' and link the two together.
memo link
The link between a source or node and a memo. A memo can be linked to one item only.
mind map
A diagram used as a brainstorming tool. Mind maps start with a shape representing a main idea, and new ideas that relate to it are added and connected to the main idea.
navigation view
The panel on the left side of the NVivo window. It contains groups that enable you to access project items.
NCapture
A web browser extension that enables you to gather material from the web as NCapture files (.nvcx) which you can import into NVivo. You can use NCapture to gather web pages and online PDF documents to import into NVivo as PDF sources. You can also use NCapture to gather data from Facebook or Twitter and import it into NVivo as dataset sources.
network sociogram
A diagram displaying the network between a group of cases.
nickname
A short name that you give to a theme or case node for the purpose of quick coding.
A container that lets you gather source content relating to the themes and cases in your data. For example, you can create a theme node called 'pollution' and code all pollution-related data at it. You can create case nodes to represent people, places, organizations and other ‘units of observation’. For example, you can create cases to represent people you interview, record their demographic attributes and code their comments to the nodes that represent them. Theme and case nodes can be organized into hierarchies, moving from general topics at the top (the parent node) to more specific topics (child nodes). Relationships and Matrices are special types of nodes. Relationships are nodes that show a relationship, for example, a relationship between two themes or cases. A matrix is a collection of nodes created by running a matrix coding query.
node matrix
A node matrix is a collection of nodes resulting from a Matrix Coding query.
paragraph
Text between two carriage returns. You can apply a paragraph style to the text in a paragraph.
paragraph number
Paragraphs in document sources are numbered, these numbers can be included when printing or exporting a source or node. In a node, paragraph numbers relate to a reference's position in the document source.
paragraph style
A set of formatting characteristics that you can apply to text to quickly change its appearance.
parent node
A node that has child nodes below it in the node hierarchy.
Source material that is available in PDF file format - for example, newspaper articles, government reports, and journal articles. You can also bring web pages into NVivo as PDF sources, by capturing the content of the page using NCapture and then importing it into NVivo.
picture
Source materials such as photographs and other types of images that may be relevant to your research. Types of image files that can be imported into NVivo include .bmp, .gif, .jpg, .jpeg, .png, .tif, or .tiff formats. A picture source contains the picture and optionally log entries.
project map
A graphic representation of the different items in your project. Icons represent the different elements of your project and connectors show how they are linked.
query
A way of asking questions about your data. You can save a query and run it at regular intervals as your project progresses.
range coding
An automatic coding technique that allows you to code multiple similarly structured sources. For example, range code paragraphs 1 to 3 in all your document sources at the theme node 'solar energy'. Range coding is also an easy way to get paper-based coding into NVivo.
read-only
You cannot edit the content of sources and maps in read-only mode. When you open a source or map it opens in read-only mode. If you want to edit the item, you must switch to edit mode.
region
Selected area of a picture or PDF source.
relationship
A node that defines the connection between two project items. Sources and/or nodes can be connected via a relationship. For example, the relationship between two case nodes (Anne works with Bill) or between two theme nodes (Agricultural Runoff impacts Water Quality).
relationship type
Defines the characteristics of a relationship. The relationship type includes a word or words that describe the relationship (for example, 'impacts', 'causes' or 'works with') and the direction of the relationship (for example, one-way or symmetrical).
report
A template for generating a printable record of the data in your project. You can run a predefined report supplied with NVivo, or create your own custom report and select the data you want to include in the report.
result
A node or list of project items resulting from a query. You can store a result node in the Queries Results folder or move it to the main node system.
search folder
Search Folders display project items that meet previously defined search criteria. For example, a Search Folder might display all the nodes you created in the last week.
see also link
A link from selected content in a source to another item (or other selected content) in your project.
sentiment
A type of node that is a container for content that expresses emotion. Sentiment nodes are created by the Auto Code Wizard. There are two parent sentiment nodes: Positive and Negative. Each parent has two children: "very" and "moderately".
server connection
A server connection contains the information that NVivo needs in order to connect to an NVivo Server. If you want to create or open a server project, you need a server connection.
server project
An NVivo project that is stored on an NVivo Server. When you work in a server project, multiple users can access the same project at the same time.
A collection of project items which can include sources or nodes. The items in the set are references or 'shortcuts' to the original items which are stored elsewhere in your project.
shadow coding
Patterned coding stripes on audio, video and picture sources. When you code the picture or media timeline, the corresponding log or transcript entries are shadow-coded.
sibling nodes
Nodes in a hierarchy that share the same parent node.
sociogram
A diagram that maps social structures using a network of vertices (representing people, groups or other entities) and the edges (relationships or interactions) that connect them.
source
In NVivo, 'sources' is the collective term for your research materials anything from hand-written diaries, video interviews, to survey responses. You store sources in the Internals, Externals or Memos folders.
standalone project
An NVivo project that is saved to your computer, or to a network drive as an .nvp file.
stop words
Words that will be ignored by Text Search queries and Word Frequency queries. Default stop words are provided for English (UK), English (US), French, German, Portuguese and Spanish. You can customize the stop word list by adding or removing stop words.
summary
A summary is a condensed version of the primary source materials and it is related to a particular case node and theme node. Summaries are created and viewed in framework matrices, but are stored independently in your project.
summary link
A link from selected content in a summary (which can be viewed in a framework matrix) to selected content displayed in the associated view.
sunburst
A sunburst is a circular diagram used to represent a hierarchy. Levels of the hierarchy are presented as rings—the innermost ring is the top level of the hierarchy. The rings are divided into segments which represent children in the hierarchy.
system-defined folders
Folders that are supplied with NVivo such as Internals, Memos and Externals. You cannot delete or rename system-defined folders.
themes
This is a synonym for topics or ideas. The Auto Code Wizard will automatically detect themes in source content (by searching for commonly occurring noun phrases). The Wizard creates a node for each theme and codes content to it.
thumbnails
Miniature images or graphics. You can set your List View options to display source items as thumbnails. This is particularly useful when you are working with picture and video sources,
timeline
Displays the duration of the audio or video file.
timespan
A timespan is the duration of time for a transcript entry. For example, Jane spoke from the two minute point to the ten minute point (00:02:00-00:10:00).
transcript
Contains audio or video transcriptions against specific timespans. You can also include notes, hyperlinks or comments in the transcript. You can purchase a transcript from an integrated transcription service (TranscribeMe), create a transcript in NVivo or import a transcript from a Word document or text file.
tree map
A tree map is a diagram that shows hierarchical data as nested rectangles of varying sizes.
user profile
A user profile contains information which identifies a project user, for example, their name and initials.
user-defined folders
Folders created by NVivo users. You can create user folders to organize your sources, nodes, cases, queries, maps, reports and extracts. You can rename and delete user-defined folders.
vertex
A vertex is an element on a sociogram representing a person, a group or an entity within a network. Vertices are connected by lines called edges.
video
Source materials such as focus group discussion videos, TV ads and other forms of video that may be relevant to your research. You can work with imported video files or YouTube videos in NVivo. A video source contains the video file and optionally a transcript.
In reports and extracts a 'view' is a virtual database table. There are five different views: node, case classification, source, source classification and project item. When you define a report or extract, select the view which contains the fields you want to include in your report or extract.
wildcard
A keyboard character such as an asterisk (*) or a question mark (?) that is used to represent one or more characters when you are searching for project items such as sources, nodes or sets. For example: g*t will find get, great and gt.

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