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MY'STORY

The MOVE Fire

This is a personal recollection on the Move fire on May 13, 1985 Philadelphia police fired thousands of rounds at the MOVE house, city officials approved dropping an explosive device on the roof, the resulting fire was allowed to burn, 11 people—including five children—died, and 61 homes were destroyed. Philadelphia City Council later called it a “brutal attack carried out by the City of Philadelphia on its own citizens” and acknowledged that no individual faced criminal consequences for the bombing. One timeline correction worth preserving for the BHP record: the major previous MOVE-police confrontation was August 8, 1978, about seven years before the bombing, not a year or two earlier. Officer James Ramp was killed, other police and firefighters were wounded, nine MOVE members were later convicted, and television cameras recorded police beating Delbert Africa during his arrest. The 1985 MOVE Commission later specifically criticized city planners for failing to adequately use lessons from that 1978 confrontation. And that actually strengthens the point you’re making: 1985 did not happen without precedent or institutional memory. There had already been a deadly confrontation with MOVE, years of conflict, negotiations and police involvement before Osage Avenue.

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BLACK FACTS
The Truths They Never Taught You...

Wilmington 1898 — An American Coup

Wilmington, North Carolina once had a thriving Black middle class and an elected interracial government. In 1898 white supremacists used violence to overthrow that government, kill Black residents and drive many others from the city.

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BHP gathered finds from its connected research sources. Showing the 4 strongest Black History matches.
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Wikipedia

Low-code development platform

A visual low-code editor that enables the creation of process logics without programming knowledge, illustrated with an example from Peakboard

A low-code development platform (LCDP) provides a software development environment – typically a graphical user interface (GUI) – that involves little or no writing of code. A low-code platform may produce entirely operational applications, or require additional coding for specific situations. Low-code development platforms are typically on a high abstraction level, and can reduce the amount of traditional time spent, enabling accelerated delivery of business applications. A common benefit is that a wider range of people can contribute to the application's development, not only those with coding skills, but good governance is needed to be able to adhere to common rules and regulations. LCDPs can also lower the initial cost of setup, training, deployment, and maintenance.[1]

Low-code development platforms trace their roots back to fourth-generation programming language and the rapid application development tools of the 1990s and early 2000s. Similar to these predecessor development environments, LCDPs are based on the principles of model-driven architecture, automatic code generation, and visual programming.[2] The concept of end-user development also existed previously, although LCDPs brought some new ways of approaching this development. The low-code development platform market traces its origins back to 2011.[3] The specific name "low-code" was not put forward until 9 June 2014,[1] when it was used by the industry analyst Forrester Research. Along with no-code development platforms, low-code was described as "extraordinarily disruptive" in Forbes magazine in 2017.[4]

Use

[edit]

As a result of the microcomputer revolution, businesses have deployed computers widely across their employee bases, enabling widespread automation of business processes using software.[5] The need for software automation and new applications for business processes places demands on software developers to create custom applications in volume, tailoring them to organizations' unique needs.[6] Low-code development platforms have been developed as a means to allow for quick creation and use of working applications that can address the specific process and data needs of the organization.[7]

Reception

[edit]

Research firm Forrester estimated in 2016 that the total market for low-code development platforms would grow to $15.5 billion by 2020.[8] Segments in the market include database, request handling, mobile, process, and general purpose low-code platforms.[9]

Low-code development's market growth can be attributed to its flexibility and ease.[10] Low-code development platforms are shifting their focus toward general purpose applications, with the ability to add in custom code when needed or desired.[3]

Mobile accessibility is one of the driving factors of using low-code development platforms.[6] Instead of developers having to spend time creating multi-device software, low-code packages typically come with that feature as standard.[6]

Because they require less coding knowledge, nearly anyone in a software development environment can learn to use a low-code development platform.[11] Features like drag and drop interfaces help users visualize and build the application[8]

Security and compliance concerns

[edit]

Concerns over low-code development platform security and compliance are growing, especially for apps that use consumer data. There can be concerns over the security of apps built so quickly and possible lack of due governance leading to compliance issues.[10] However, low-code apps do also fuel security innovations. With continuous app development in mind, it becomes easier to create secure data workflows.[citation needed]

Criticisms

[edit]

Some IT professionals question whether low-code development platforms are suitable for large-scale and mission-critical enterprise applications.[12] Others have questioned whether these platforms actually make development cheaper or easier.[13] Additionally, some CIOs have expressed concern that adopting low-code development platforms internally could lead to an increase in unsupported applications built by shadow IT.[14]

See also

[edit]

References

[edit]
  1. 1 2 Richardson, Clay (June 9, 2014). "New Development Platforms Emerge For Customer-Facing Applications". www.forrester.com. Retrieved 18 November 2016.
  2. ↑ Lonergan, Kevin (29 July 2015). "On the down low: Why CIOs should care about Low-code - Information Age". Information Age. Archived from the original on 2 February 2017. Retrieved 22 January 2017.
  3. 1 2 Marvin, Rob (12 August 2014). "How low-code development seeks to accelerate software delivery - SD Times". SD Times. San Diego Times. Retrieved 18 November 2016.
  4. ↑ Bloomberg, Jason. "The Low-Code/No-Code Movement: More Disruptive Than You Realize". www.forbes.com. Retrieved 20 August 2018.
  5. ↑ "Low-Code vs. No-Code App Development | Microsoft Power Apps". powerapps.microsoft.com. Retrieved 2023-01-06.
  6. 1 2 3 Marvin, Rob. "Building an App With No Coding: Myth or Reality?". PCMAG. PC Mag. Retrieved 18 November 2016.
  7. ↑ "Software developers: We're on board with low-code (Or even no-code) tools". ZDNet.
  8. 1 2 Richardson, Clay. "Vendor Landscape: The Fractured, Fertile Terrain Of Low-code Application Platforms" (PDF). Forrester Research. Archived from the original (PDF) on 2017-08-09. Retrieved 2017-01-25.
  9. ↑ Hammond, Jeffrey. "The Forrester Wave™: Mobile Low-Code Platforms For Business Developers, Q3 2018". www.forrester.com. Forrester Research. Archived from the original on 15 August 2018. Retrieved 8 August 2018.
  10. 1 2 Rubens, Paul (10 November 2014). "Use Low-code Platforms to Develop the Apps Customers Want". CIO. CIO Magazine.
  11. ↑ "Why We Will Always Need Data Scientists". Built In. Retrieved 2024-09-25.
  12. ↑ Rymer, John. "Low-Code Platforms Deliver Customer Facing Apps Fast, But Can They Scale Up?". Forrester Research. Archived from the original on 2 February 2017. Retrieved 22 January 2016.
  13. ↑ LLC, Flatlogic (2022-12-05). "What is the difference between Low Code & No Code". Flatlogic Blog. Retrieved 2023-01-06.
  14. ↑ Shore, Joel (31 July 2015). "How no-code development tools can benefit IT". Search Cloud Applications. TechTarget Magazine. Archived from the original on 2017-03-31. Retrieved 22 January 2017.

Source: Wikipedia. Article content is retrieved live through the MediaWiki API.

Wikipedia

Low-code development platform

A low-code development platform (LCDP) provides a software development environment – typically a graphical user interface (GUI) – that involves little or no writing of code. A low-code platform may produce entirely operational applications, or require additional coding for specific situations. Low-code development platforms are typically on a high abstraction level, and can reduce the amount of traditional time spent, enabling accelerated delivery of business applications. A common benefit is that a wider range of people can contribute to the application's development, not only those with coding skills, but good governance is needed to be able to adhere to common rules and regulations. LCDPs can also lower the initial cost of setup, training, deployment, and maintenance. Low-code development platforms trace their roots back to fourth-generation programming language and the rapid application development tools of the 1990s and early 2000s. Similar to these predecessor development environments, LCDPs are based on the principles of model-driven architecture, automatic code generation, and visual programming. The concept of end-user development also existed previously, although LCDPs brought some new ways of approaching this development. The low-code development platform market traces its origins back to 2011. The specific name "low-code" was not put forward until 9 June 2014, when it was used by the industry analyst Forrester Research. Along with no-code development platforms, low-code was described as "extraordinarily disruptive" in Forbes magazine in 2017.

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Wikipedia

Paul S. Wang

Paul S. Wang is a Chinese-American computer scientist, researcher, author, consultant, and academic. He is Professor Emeritus of Computer Science at Kent State University. Wang's expertise lies in automation of mathematical computation. He has conducted over forty research projects. His research mainly focuses on Symbolic and Algebraic Computation (SAC), automatic code generation, Internet Accessible Mathematical Computation (IAMC), polynomial factoring and GCD algorithms, enabling technologies and classroom delivery of Web-based Mathematics Education (WME), and parallel and distributed SAC. He has also authored several books of Computer Science including Mastering Modern Linux, From Computing to Computational Thinking, An Introduction to Web Design and Programming, Mastering Linux, An Introduction to Web Design and Programming, and Standard C++ with Object-Oriented Programming. Wang also writes articles for his blog on Computational Thinking (CT).

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Wikipedia

PLECS

PLECS (Piecewise Linear Electrical Circuit Simulation) is a software tool for system-level simulations of electrical circuits developed by Plexim. It is especially designed for power electronics but can be used for any electrical network. PLECS includes the possibility to model controls and different physical domains (thermal, magnetic and mechanical) besides the electrical system. Most circuit simulation programs model switches as highly nonlinear elements. Due to steep voltage and current transient, the simulation becomes slow when switches are commutated. In most simplistic applications, switches are modelled as variable resistors that alternate between a very small and a very large resistance. In other cases, they are represented by a sophisticated semiconductor model. When simulating complex power electronic systems, however, the processes during switching are of little interest. In these situations it is more appropriate to use ideal switches that toggle instantaneously between a closed and an open circuit. This approach, which is implemented in PLECS, has two major advantages: Firstly, it yields systems that are piecewise-linear across switching instants, thus resolving the otherwise difficult problem of simulating the non-linear discontinuity that occurs in the equivalent-circuit at the switching instant. Secondly, to handle discontinuities at the switching instants, only two integration steps are required (one for before the instant, and one after). Both of these advantages speed up the simulation considerably, without sacrificing accuracy. Thus the software is ideally suited for modelling and simulation of complex drive systems and modular multilevel converters, for example. In recent years, PLECS has been extended to also support model-based development of controls with automatic code generation. In addition to software, the PLECS product family includes real-time simulation hardware for both hardware-in-the-loop (HIL) testing and rapid control prototyping.

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Wikipedia

TargetLink

TargetLink is a software for automatic code generation, based on a subset of Simulink/Stateflow models, produced by dSPACE GmbH. TargetLink requires an existing MATLAB/Simulink model to work on. TargetLink generates both ANSI-C and production code optimized for specific processors. It also supports the generation of AUTOSAR-compliant code for software components for the automotive sector. The management of all relevant information for code generation takes place in a central data container, called the Data Dictionary. Testing of the generated code is implemented in Simulink, which is also used for the specification of the underlying simulation models. TargetLink supports three simulation modes to test the generated code: Model-in-the-loop simulation (MIL): this mode allows the model design to be checked. An MIL simulation is also known as a floating-point simulation, since the variables are typically floating-point variables. Software-in-the-loop (SIL): the simulation is based on the execution of generated code, which runs on a PC system. The variables are typically plain or fixed point numbers. Processor-in-the-loop (PIL): in a PIL simulation, the generated code runs on the target hardware or on an evaluation board. So-called real-time frames are included, making it possible to transfer the simulation results as well as memory consumption and runtime information to the PC. The Motor Industry Software Reliability Association (MISRA) published official MISRA modeling guidelines for TargetLink in late 2007, which are particularly important for functional safety of safety-critical applications. In 2009, TÜV SÜD certified TargetLink for use during the development of safety-critical systems to ISO DIS 26262 and IEC 61508.

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TOPIC OF THE DAY

Greenwood / Black Wall Street

Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.

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TRIVIA QUESTION OF THE DAY

What prosperous Tulsa district became widely known as “Black Wall Street”?

The Greenwood District.