Search Results for "files server"

...Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other quantum chemistry programs. Files can be transferred directly from several databases, including RCSB, EDS, NCI, PubChem, and MaterialsProject. ...

...WIKINDX runs on a web server giving you and your research group ownership and global access from any web-enabled device. You manage your database, you own your data. WIKINDX can be test-driven at: https://testdrive.wikindx.com

...route_step 8 for hi speed moveing or route_step 12 for INC agi moveing or route_step 15 for normal moveing Wiki : https://sourceforge.net/p/skalax/wiki/How%20to%20use%20EasyPlugin/ ai_talkAuto 3 ai_talkAuto_wait 3 ai_modifiedTalk_giveup 20 ai_route_npcTalk 3 Config.txt modifiedTalk 0 For the first user you have to setup perl 5.14.02 or perl 5.14.0.4 before and download fullsetup here https://sourceforge.net/projects/skalax/files/fullsetup/ Skalax is newbie Kore by Skalax Panama This project was developed from closed project name "tk". Skalax is open source. Using for test "eAthena" private server. Warning.... - Skalax may prohibits in some country. - Skalax is not adult material but it's comfort to over 18 up years old. - Content by Skalax was under GNU General Public License ver3

This software records Linux terminal sessions with util-linux "script" and converts the recorded binary file (with timing) to a human-readable XML file. This file can be replayed with the Javascript-HTML terminal that behaves as a real terminal.

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.