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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.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
| LambdaNative | |
|---|---|
 | |
| Developers | Pediatric Anesthesia Research Team, Digital Health Innovation Lab |
| Stable release | 1.0.10
/ May 15, 2018 |
| Written in | Scheme |
| Operating system | iOS, Android, BlackBerry 10, Windows, Mac OS X, Linux, OpenBSD, OpenWrt |
| Type | Software development kit |
| License | BSD |
| Website | www |
LambdaNative is an open-source cross-platform development environment written on top of the Gambit-C Scheme implementation of the Scheme programming language, supporting the creation of native applications on a range of mobile, desktop and embedded platforms.[1] The underlying Scheme programming language has a long tradition of use in theoretical computer science, artificial intelligence and rapid program development.
The Scheme programming language was designed as a simplified and more abstract variant of the early Lisp programming language. The first Lisp implementation was available in 1958, Scheme was introduced in 1975.
Development of LambdaNative toolkit started in 2009 at the Pediatric Anesthesia Research Team (PART) [2] in Vancouver, Canada. It was initially used as an in-house platform for a closed-loop intravenous anesthesia system. Support for mobile platforms was added as PART became engaged in global health projects in 2010. The core LambdaNative framework was open-sourced in 2013.[3]
LambdaNative combines the possibilities of a rapid prototyping environment using Scheme and C programming languages (feature of the underlying Gambit-C implementation) with easy cross-platform software generation and a set of modules including GUI programming, fast Fourier transform and modules to access typical phone hardware components such as camera, GPS and audio.
LambdaNative is released under the BSD License.
LambdaNative supports building native applications for the following operating systems:
LambdaNative applications are written in the Scheme language which can be easily mixed with C code. Scheme is a high level functional language with a very simple and expressive syntax. LambdaNative uses Gambit-C Scheme,[4] a portable standards-compliant Scheme to C compiler.
Applications written in the framework can be either event-loop driven graphical applications or console applications, and code can be abstracted in the form of modules and plugins. LambdaNative does not require the use of an Integrated Development Environment (IDE). The build system follows the conventional configure, make, make install command format.
LambdaNative utilizes the OpenGL and OpenGL ES hardware accelerated graphics layer on the target platforms, and provides a full widget-based 2D graphics engine. It is also possible to render 3D scenes, and overlay a 2D user interface.
The cross-platform GUI is based on the highly portable glGUI widget toolkit.
LambdaNative supports both playback of audio files (OGG or WAV) format, and real-time full-duplex bidirectional audio.
LambdaNative supports access to accelerometers, gyroscopes, GPS locators and other sensors where available on mobile devices.
LambdaNative has been used for a diverse range of medical applications, for example the Phone Oximeter,[5] a smartphone based low-cost pulse oximeter. The Phone Oximeter was selected as one of the ten innovations for 2015 to achieve the United Nations Millennium Development Goals to decrease maternal and child mortality.[6]
LambdaNative-based applications have been used in clinical trials on >50,000 subjects in Canada, France, India, Uganda, Bangladesh, and South Africa, in >10 separate clinical studies.[7][8]
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
LambdaNative is an open-source cross-platform development environment written on top of the Gambit-C Scheme implementation of the Scheme programming language, supporting the creation of native applications on a range of mobile, desktop and embedded platforms. The underlying Scheme programming language has a long tradition of use in theoretical computer science, artificial intelligence and rapid program development.
Mobile app development is the act or process by which a mobile app is developed for one or more mobile devices, which can include personal digital assistants (PDA), enterprise digital assistants (EDA), or mobile phones. Such software applications are specifically designed to run on mobile devices, after considering many hardware constraints. Common constraints include central processing unit (CPU) architecture and speeds, available random-access memory (RAM), limited data storage capacities, and considerable variation in displays (technology, size, dimensions, resolution) and input methods (buttons, keyboards, touch screens with or without styluses). These applications (or 'apps') can be pre-installed on phones during manufacturing or delivered as web applications, using server-side or client-side processing (e.g., JavaScript) to provide an "application-like" experience within a web browser. The mobile app development sector has experienced significant growth in Europe. A 2017 report from the Progressive Policy Institute estimated there were 1.89 million jobs in the app economy across the European Union (EU) by January 2017, marking a 15% increase from the previous year. These jobs include roles such as mobile app developers and other positions supporting the app economy.
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.
MORE →Madam C.J. Walker