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Topic Review
Human Nutrition
Human nutrition deals with the provision of essential nutrients in food that are necessary to support human life and good health. Poor nutrition is a chronic problem often linked to poverty, food security, or a poor understanding of nutritional requirements. Malnutrition and its consequences are large contributors to deaths, physical deformities, and disabilities worldwide. Good nutrition is necessary for children to grow physically and mentally, and for normal human biological development.
  • 1.5K
  • 25 Oct 2022
Topic Review
Shunting-Yard Algorithm
In computer science, the shunting-yard algorithm is a method for parsing arithmetical or logical expressions, or a combination of both, specified in infix notation. It can produce either a postfix notation string, also known as Reverse Polish notation (RPN), or an abstract syntax tree (AST). The algorithm was invented by Edsger Dijkstra and named the "shunting yard" algorithm because its operation resembles that of a railroad shunting yard. Dijkstra first described the Shunting Yard Algorithm in the Mathematisch Centrum report MR 34/61. Like the evaluation of RPN, the shunting yard algorithm is stack-based. Infix expressions are the form of mathematical notation most people are used to, for instance "3 + 4" or "3 + 4 × (2 − 1)". For the conversion there are two text variables (strings), the input and the output. There is also a stack that holds operators not yet added to the output queue. To convert, the program reads each symbol in order and does something based on that symbol. The result for the above examples would be (in Reverse Polish notation) "3 4 +" and "3 4 2 1 − × +", respectively. The shunting yard algorithm will correctly parse all valid infix expressions, but does not reject all invalid expressions. For example, "1 2 +" is not a valid infix expression, but would be parsed as "1 + 2". The algorithm can however reject expressions with mismatched parentheses. The shunting-yard algorithm was later generalized into operator-precedence parsing.
  • 1.5K
  • 28 Nov 2022
Topic Review
ISO 29110
ISO/IEC 29110: Systems and Software Life Cycle Profiles and Guidelines for Very Small Entities (VSEs) International Standards (IS) and Technical Reports (TR) are targeted at Very Small Entities (VSEs). A Very Small Entity (VSE) is an enterprise, an organization, a department or a project having up to 25 people. The ISO/IEC 29110 is a series of international standards and guides entitled "Systems and Software Engineering — Lifecycle Profiles for Very Small Entities (VSEs)". The standards and technical reports were developed by working group 24 (WG24) of sub-committee 7 (SC7) of Joint Technical Committee 1 (JTC1) of the International Organization for Standardization and the International Electrotechnical Commission. Industries around the world have agreed that there are certain ways of working that produce predictable results. Companies that agree to use these agreed methods and then to have their compliance measured are called ISO certificated. Some ISO-certificated organizations require that their vendors also be ISO certificated. The general standard for software development, ISO/IEC/IEEE 12207, is appropriate for medium and large software development efforts. Similarly, the general standard for system development, ISO/IEC/IEEE 15288, is appropriate for medium and large system development efforts. Systems, in the context of ISO/IEC 29110, are typically composed of hardware and software components. Things work differently in small organisations; ISO 29110 reflects that.
  • 1.5K
  • 07 Nov 2022
Topic Review
Topology of Uniform Convergence
In mathematics, a linear map is a mapping V → W between two modules (including vector spaces) that preserves the operations of addition and scalar multiplication. By studying the linear maps between two modules one can gain insight into their structures. If the modules have additional structure, like topologies or bornologies, then one can study the subspace of linear maps that preserve this structure.
  • 1.5K
  • 28 Nov 2022
Topic Review
Mono
Mono is a free and open-source project to create an Ecma standard-compliant .NET Framework-compatible software framework, including a C# compiler and a Common Language Runtime. Originally by Ximian, it was later acquired by Novell, and is now being led by Xamarin, a subsidiary of Microsoft and the .NET Foundation. The stated purpose of Mono is not only to be able to run Microsoft .NET applications cross-platform, but also to bring better development tools to Linux developers. Mono can be run on many software systems including Android, most Linux distributions, BSD, macOS, Windows, Solaris, and even some game consoles such as PlayStation 3, Wii, and Xbox 360. The Mono project has been controversial within the open-source community, as it implements portions of .NET Framework that may be covered by Microsoft patents. Although standardized portions of .NET Framework are covered under Microsoft Open Specification Promise—a covenant stating that Microsoft will not assert its patents against implementations of its specifications under certain conditions—other portions are not, which led to concerns that the Mono project could become the target of patent infringement lawsuits. Following Microsoft's open-sourcing of several core .NET technologies since 2014 and its acquisition of Xamarin in the beginning of 2016, an updated patent promise has been issued for the Mono project (§ Mono and Microsoft's patents). The logo of Mono is a stylized monkey's face, mono being Spanish for monkey.
  • 1.5K
  • 24 Nov 2022
Topic Review
Damaged QR Code Reconstruction
QR codes often become difficult to recognize due to damage. Traditional restoration methods exhibit a limited effectiveness for severely damaged or densely encoded QR codes, are time-consuming, and have limitations in addressing extensive information loss.
  • 1.5K
  • 02 Nov 2023
Topic Review
Monocular 3D Object Detection Methods
Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. 
  • 1.5K
  • 07 Apr 2021
Topic Review
Iperius Backup
Iperius Backup is a backup software for Windows PCs and Servers, databases and virtual machines. It allows to make automatic backups of files and folders on many devices: external USB hard drives, RDX drives, NAS, LTO tape drives, networked computers, Cloud storage, Amazon S3, Google Drive and FTP servers. Iperius Backup includes drive imaging capabilities, backup of SQL Server, MySQL, PostgreSQL, Oracle databases, backup of Microsoft Exchange servers, backup and replication of VMware ESXi, vCenter, ESXi Free and Hyper-V virtual machines.
  • 1.5K
  • 30 Oct 2022
Topic Review
Secure Shell Protocol
The Secure Shell Protocol (SSH) is a cryptographic network protocol for operating network services securely over an unsecured network. Typical applications include remote command-line, login, and remote command execution, but any network service can be secured with SSH. SSH provides a secure channel over an unsecured network by using a client–server architecture, connecting an SSH client application with an SSH server. The protocol specification distinguishes between two major versions, referred to as SSH-1 and SSH-2. The standard TCP port for SSH is 22. SSH is generally used to access Unix-like operating systems, but it can also be used on Microsoft Windows. Windows 10 uses OpenSSH as its default SSH client and SSH server. SSH was designed as a replacement for Telnet and for unsecured remote shell protocols such as the Berkeley rsh and the related rlogin and rexec protocols. Those protocols send information, notably passwords, in plaintext, rendering them susceptible to interception and disclosure using packet analysis. The encryption used by SSH is intended to provide confidentiality and integrity of data over an unsecured network, such as the Internet.
  • 1.5K
  • 29 Sep 2022
Topic Review
Theoretical Background of Explainable Artificial Intelligence
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved and are now being employed in almost every application domain to develop automated or semi-automated systems. To facilitate greater human acceptability of these systems, explainable artificial intelligence (XAI) has experienced significant growth over the last couple of years with the development of highly accurate models but with a paucity of explainability and interpretability. XAI methods are mostly developed for safety-critical domains worldwide, deep learning and ensemble models are being exploited more than other types of AI/ML models, visual explanations are more acceptable to end-users and robust evaluation metrics are being developed to assess the quality of explanations.
  • 1.5K
  • 16 Mar 2022
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