Free scalable vector graphics entity relationship diagram software for linux

Cell Electrophysiology Simulation Environment (CESE) is a comprehensive framework specifically designed to perform computational electrophysiological simulations, for example, simulations of cardiac myocyte electrical activity.
Cell Electrophysiology Simulation Environment is useful for simulations of action potentials, individual ionic currents, and changes in ionic concentrations.
CESE is a cross-platform program, it runs on any system that has Java runtime environment (JRE) version 1.4 or above. It was tested on Windows, Linux, Solaris, MacOS X, and AIX.
CESE users
CESE is an integrated environment for performing computational simulations using a variety of electrophysiological models.
At this stage CESE allows creation and execution of the single-cell models (containing both Hodgkin-Huxley (HH) and Markovian current formulations). Models of electrical activity of cardiac myocytes with source code are included in the CESE distribution. We hope to extend the number of available models, and add certain neuronal models in the future.
The main strength of CESE is in its uniformity ? a program interface remains the same for different types of models. You can easily switch between models and compare simulation outputs. Model parameters can be modified, selected for output and/or clamped in the same, standard way.
CESE extends the conventional electrophysiological meaning of the "voltage clamp". You can clamp virtually any model variable, including voltage (membrane potential), total or individual ionic currents, ionic concentrations, temperature, gating variables, etc. The clamping commands can be complex piece-wise functions, individually set for the model variable of interest. This opens endless possibilities for the exploration of complex model behavior.
CESE provides simple, but efficient data visualizations. Simulation results can be presented in the graphic and tabulated forms. Plots can be customized, and regions of interest zoomed.
Even though CESE was not designed to be a data analysis tool, you can generate current-voltage relationships (I-Vs) and calculate statistical parameters for a given signal within the program. You can export your data to ASCII, Axon Text File (ATF), and NetCDF formats to continue analysis in your favorite package.
CESE developers
CESE was created from the ground up to incorporate the best programming practices available to Java developers, both in terms of user interface consistency and code clarity and reuse. Wherever possible, CESE rely on available Java APIs (for example Java2D, JavaBeans, JAXP) to simplify the code.
Model creation requires a number of house-keeping functions to be coded ? these include ODE integrators, routines for handling model parameters, saving/restoring model state, visualizing simulation results, etc. CESE provides you with implementation for these routines, hence, you can concentrate on writing the code for concrete ionic current(s), and CESE will handle the rest.
CESE is not trying to create complicated programming frameworks on its own ? rather, it utilizes core Java APIs. For example, models are Java components conforming to the JavaBeans specification. We use XML to specify clamping commands, and Java object serialization to save/restore model parameters.
Enhancements:
- This release improves results printing, adds export to the scalable vector graphics (SVG) format, improves support for continuous simulations, and fixes many bugs in plot rendering and model switching.

Bio::Ontology::Relationship is a relationship for an ontology.

SYNOPSIS

$rel = Bio::Ontology::Relationship->new( -identifier => "16847",
-subject_term => $subj,
-object_term => $obj,
-predicate_term => $pred );

This is a basic implementation of Bio::Ontology::RelationshipI.

The terminology we use here is the one commonly used for ontologies, namely the triple of (subject, predicate, object), which in addition is scoped in a namespace (ontology). It is called triple because it is a tuple of three ontology terms.

There are other terminologies in use for expressing relationships. For those who it helps to better understand the concept, the triple of (child, relationship type, parent) would be equivalent to the terminology chosen here, disregarding the question whether the notion of parent and child is sensible in the context of the relationship type or not. Especially in the case of ontologies with a wide variety of predicates the parent/child terminology and similar ones can quickly become ambiguous (e.g., A synthesises B), meaningless (e.g., A binds B), or even conflicting (e.g., A is-parent-of B), and are therefore strongly discouraged.

Scalable OGo project (SOGo in short) is a groupware server built around the SOPE application server. Unlike OGo it is focused on scalability instead of depth in functionality. The web interface uses human readable URLs and can be accessed according to REST web service ideas. Notably it requires no server side session at all.

The server stores all internal data in the iCalendar format and therefore has no data model inconsistencies with native clients - it easily connects using GroupDAV connectors.

Scalable OpenGroupware.org is being developed since August 2004.

Important: SOGo is still in pre-alpha quality and is largely undocumented. We do not provide RPM or Debian packaging yet nor expect to be able to build the source without issues.

Gnome-Vector-Network-Analyzer is a GTK+/Gnome2 graphical front end for the IW3HEV Vector Network Analyzer, also has a signal generator.
Gnome-Vector-Network-Analyzer displays graphicaly SWR, Phase, Return Loss, X impedance, Serial resistance, |Z| Impedanze, and Inductance, and capacitance.
Enhancements:
- New version with support for the new 180 Mhz miniVNA and the old parallel port 70 Mhz VNA.
- Also with printing capabilities.

XML::Mini::Element::Entity Perl module is used internally to represent < !ENTITY name "stuff" >.

You shouldnt need to use it directly, see XML::Mini::Elements entity() method.