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What Is Video Buffer?

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Maybe you've heard of a video buffer before, but perhaps you haven't. Maybe you think it's just a fancy word for "a place to store things." Well, that's not exactly true. A video buffer is a portion of your computer's physical memory used to store video or graphics information where it moves from the renderer to the display screen or monitor. The system cache is where your computer stores data temporarily while processing it by other parts of your machine. Video memory is like an extension of the system cache. It holds more data than needed for temporary processing purposes but less than a hard drive. As buffers in general, the video buffer is used to organize data and ensure that the data are moved from their source to their destination. Although it has many things similar to the system cache or the video memory, it is separate from both. A video buffer is a virtual storage that holds all the visual elements you see on the screen. For example, it keeps track of menus, windows, images, videos, etc. We need to use a video buffer to make everything on the screen appear seamless and the transition smooth. In-memory processing is faster than on-screen processing so, using a video buffer lets the screen content be processed before you even use it so that it does not need to process when the actual data are required. The video buffer is a part of the computer's Video Graphics Adapter (VGA) card or onboard graphics that stores pixels on a frame-by-frame basis. This buffer allows you to view the video in real-time even if your computer can't keep up with the speed of the video you are trying to watch. The video buffer is essential for watching live-stream videos. With a video buffer, you don't have to worry about stuttering or pausing if the bandwidth of the live stream falls below the speed of the video you are watching.

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Related Terms by Storage

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

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Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

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Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

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Trending Definitions

Null-Coalescing Operator

Introduce yourself to the Null-Coalescing Operator, also known as the "??" in our office. In programming, there is a teeny-tiny tool that can be an absolute godsend, and today we will tell you all about it! Let's get into the nitty-gritty of this, shall we? In computer programming, dealing with null values can be made more straightforward with the help of a specialized indicator known as the Null-Coalescing Operator. The two question marks denote it "??", and its operation consists of determining whether or not a value is null. If the value is null, the operator returns a fallback value in its place. For illustration's sake, let's assume you want to assign a value to a variable you've referred to as "name" and have access to a database. However, if the database query returns null, you should designate a default value. The Null-Coalescing Operator is extremely helpful in situations like these. If the "databaseValue" variable in this example does not contain any data, the Null-Coalescing Operator will instead return the value "John Doe," which is the default. It is a straightforward and sophisticated solution that helps you save time and makes your code easier to understand. Enough with the scientific jargon; let's talk about the Null-Coalescing Operator instead. Did you realize that it also possesses a specific playful side? The two question marks are said to approximate Elvis Presley's trademark sideburns, which is why some programmers like to refer to it as the "Elvis Operator." If you still aren't satisfied, allow me to share one more interesting tidbit with you: the Null-Coalescing Operator was initially implemented in the programming language known as C#; however, it is now available in a wide variety of other programming languages as well, such as PHP, Perl, and Ruby. [C#] To conclude, the Null-Coalescing Operator is a useful and entertaining software that pleasures working with null values in programming. It operates by verifying if a value is null; if it is, it returns a default value instead of the original value. Two question marks denote it, and its operation is described above. Whether you refer to it as the "Elvis Operator," the "?" or something completely different, there is no denying that this itty-bitty guy is an absolute godsend in the programming world!

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Cyberstalking

Cyberstalking is like a digital shadow. Someone is watching and tracking what you do online to cause mental or bodily anguish. This person has access to your computer and is monitoring your internet activity. It is comparable to being followed by an active predator online. Within the context of the crime of cyberstalking, the concept of "treatment" is essential. The experience of being subjected to harassment is analogous to having one's life made intolerable by an online bully. Someone is engaging in cyberbullying toward you if they repeatedly send you inappropriate messages or communications or engage in any other behavior intended to harm, intimidate, or annoy you. It is comparable to experiencing harassment at the hands of an internet troll. Another important phrase is "doxxing," which means "doxxing up." If someone doxxes you, it is the equivalent of having your online identity revealed to the public. When someone takes your personal information and makes it public without your consent, it is referred to as a data breach. Examples include when someone publishes your name, address, or phone number. It is the same as having your digital mask pulled off, which discloses your genuine identity to the rest of the world. In other words, it is the same thing. The concept of "impersonation" is another essential one associated with cyberstalking. Comparing it to a game is like playing dress-up with your computer. When a person uses the identity of another online user to cause harm to other users, harass them, or fool them into thinking something that is not real, they are engaging in the practice of impersonation. It's analogous to putting on a digital mask to fool other people. The term "cyberbullying" refers to a form of online harassment known as "cyberstalking" that is directed against children and teenagers.

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Eligible Provider (EP)

Eligible Providers play a significant role in the EHR Meaningful Use program. They have demonstrated their understanding of electronic medical records (EMRs) and can use an electronic health record (EHR) to better provide patient care. HIPAA-compliant EMR systems connect providers and hospitals with all patient information, including past visits and procedures, lab test results, diagnostic imaging such as X-rays or MRIs, medications and allergies, vitals and hospitalizations, and even the history of diseases. The government has offered several incentives to encourage EMR adoption in healthcare organizations. Many factors are considered when determining whether a provider may qualify for these incentives, but the important thing is that they help offset the implementation costs. Eligible providers must implement specific criteria within their EMR systems to receive government incentive payments. Medication lists must be updated and maintained such that allergies and current medications are always included. EPs must also record patient diagnoses or problem lists. Computerized physician order entry (COPE) forms must be utilized, and lab test orders must also be included within EMRs.EPs are responsible for doing this themselves, however, with some help from technology. Data management isn't just about meeting the requirements of HIPAA or ICD-10 coding guidelines; it's about providing your practice with the information it needs to succeed. It's no secret that medical audits and public health reporting are essential to running a practice. It may surprise you to know that these data-gathering responsibilities fall entirely on the shoulders of EP. EHR software can significantly affect your practice's success or failure. While many EPs are hesitant about choosing an EMR vendor without prior experience, weighing the advantages against the disadvantages when deciding between an in-house EP or a vendor is essential. A successful EMR can increase productivity and efficiency while reducing administrative time and costs by providing immediate access to medical records. An EMR-eligible provider can help you streamline your workflow and collect accurate information in one place, Giving you time to focus on your patients.

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