Free nutrition information restaurant chains software for mac

Web Information Saver is an utility for saving all kinds of text like news, quotations, informations with source and date for offline use. The saved infos are sorted in categories and can be searched easily.

Very handy for creating papers and researches but also for saving postings from online discussion boards etc, its also possible to save (and view) the information directly in HTML source code.

I did it like this and lost soon the overview. Its always a complete site that is saved -even if you are just interested in one simple sentence! And these large files are scattered all over your harddisc and its uncomfortable to find them or to search within them.

Enhancements: Initial public release.

Requirements: Mac OS X 10.4 or later, iPod

Take the guide to Vancouvers best restaurants wherever you go.
All the information you need, at the click of an iPod button.

Allows various critreria of search, such as location, atmosphere and price.

Scientific Journal Information 3.4.0 is a helpful program with which you can search or filter over 8268 scientific journals. Many of them are linked to their Web site and the tendancy of their impact factor is estimated.

Random DC Restaurant widget randomly selects a Washington, DC restaurant from the Restaurants database each time you bring up the widget.

You can also click the red button to get another restaurant.

Clicking on the eyeball will show you the web page at TourOfDC.

Canadian Weather Information is a Dashboard widget that will allow the user to reference the current weather conditions and 5-day weather report for all major Canadian cities available from Weather Canadas Weather Office web site.
The weather information will be updated as frequently as the widget window is opened.
The widget supports English and French locales.
Note: This widget has not been endorsed by WeatherOffice or Environment Canada in any way. Please read the Copyright information linked to by the widget.

Main features:
- Double-click on the main panel to switch between text and graphical forecasts.
- Windchill (when present) is displayed under the current temperature in blue.
- Humidex (when present) is displayed under the current temperature in red.
- Current weather image (when present for the location).
- Weather warnings result in the location to be displayed in red.
- Clicking on the location text will take you to the web page provided by Weather Office.
- A pop-up menu in the back allows the user to set what interval the widget updates at if it is constantly displayed.
- Air quality information: for locations for which Weather Office reports Air Quality Information (Toronto, for example) the current temperature reading will be colored according to the color scheme that Weather Office uses for pollution (link): blue means low, red means high.

Enhancements
- Switched from jQuery to something more agreeable.

The Restaurant Game is a research project at the MIT Media Lab that will algorithmically combine the gameplay experiences of thousands of players to create a new game.

In a few months, we will apply machine learning algorithms to data collected through the multiplayer Restaurant Game, and produce a new single-player game that we will enter into the 2008 Independent Games Festival.

The Restaurant Game is a greta oportunity because every player will be credited as a Game Designer. Its never been easier to earn Game Designer credentials!

All contributions are not equal, however. Designers will be ranked based on how well they play their assigned roles, and accomplish their objectives. There will be only one Lead Designer.
Remaining credits will be divided into Game Designers and Assistant Game Designers, and within each category individuals will be ranked according to the quality of their performance(s).

Quality will be determined computationally, based on a number of factors.

The Restaurant Game takes about 10 minutes to play. It is a two-player game that will automatically find partners for players once you join a server. You are welcome encouraged to play multiple times.

In order for this project to be at all successful, we will need to collect a lot of data -- data from over 1,000 10,000 gameplay sessions. Play early, play often, and please spread the word!

This project attempts to address two frustrations I experienced as a professional game developer.
1) Convincing human social behavior is difficult to model with existing hand crafted AI systems.
2) Play testing by people outside of the development team typically comes too late to have a major impact on the final product.

This experiment aims to generate AI behaviors that conform to the way players actually choose to interact with other characters and the environment; behaviors that are convincingly human because they capture the nuances of real human behavior and language.