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Award-Winning Medical Office Software Designed for Your Specialty
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RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
...This project includes utilities to convert an XML instance file into its COBOL copybook equivalent string buffer and vice versa.
Source is now available in GitHub: https://github.com/bmTas/cb2xml
Taverna is *no longer* hosted on SourceForge, but has moved to the Apache Software Foundation: https://taverna.apache.org
These pages and mailing list archives are provided for *archival purposes* for older Taverna 1.x releases.
See https://taverna.apache.org/download/ for the latest releases from Apache Taverna.
Java library for X-Way and/or UNI-TE communication.
PROJECT HAS MOVED HERE: https://github.com/Elektordi/x-way-uni-te
X-Way and UNI-TE (also used in Unitelway) are communication protocols for old Schneider Electrics PLCs (Programmable Logic Controllers), formerly "Modicon Télémécanique".
The aim of this open-source project is to create a Java library to send and receive such data, because there is actually no open-source project at all in this field.
Project is migrated to GitHub: https://github.com/OpenDAS
OpenDAS is an "Open Data Acquisition System" and a new software aimed at industry use.
This is the easiest software to acquire data for industry and logistic, above all, this is a universal software.
Why universal?, because OpenDAS has been thought as a universal acquisition system. It can be used to acquire data for any software or any combination of softwares.
For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces
Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.