An operator interface within a process plant includes an execution engine that implements process flow modules made up of interconnected smart process objects that are aware of devices and other entities within the plant and that can perform methods to detect conditions within the plant, especially on a system-level basis. The smart process objects include a display element to be displayed to the operator, data storage for storing data pertaining to and/or received from an associated entity within a plant, inputs and outputs for communicating with other smart process objects and methods that may be executed on the stored and received data to detect plant conditions, including system-level conditions, such as leaks, errors and other conditions. Process flow modules, which may be made up of numerous interconnected smart process objects, may also include flow algorithms associated therewith to calculate mass balances, flows, etc. for the process elements within the process flow modules.

Smart process modules and objects in process plants

A low-cost haptic feedback keyboard device for providing haptic feedback to a user for enhancing interactions in a displayed environment provided by a computer. The haptic keyboard device can be a keyboard having multiple keys, or can be a wrist rest or other attachment coupled to a keyboard. The device includes a housing that is physically contacted by the user and rests on a support surface. An actuator is coupled to the housing and applies a force to the housing approximately along an axis that is substantially perpendicular to the support surface, where the force is transmitted to the user contacting the housing. In one embodiment, the force is an inertial force that is output by moving an inertial mass. The keyboard device can be used in conjunction with another haptic device, such as a mouse, trackball, or joystick.

Haptic feedback using a keyboard device

The present invention provides a novel class of monoclonal antibodies which bind ErbB3 receptor and inhibits various ErbB3 functions. For example, the antibodies described herein are capable of binding to ErbB3 and inhibiting EGF-like ligand mediated phosphorylation of the receptor.

Antibodies against erbb3 and uses thereof

A system and method for controlling a process includes simulating the process and producing a simulated output (MVss,CVss) of the process, developing in an optimizer 504 a set of target values MVt, CVt, AVt, based on measured inputs MV, CV, AV from the process and based on the simulated output from the process simulator, and producing multiple control outputs configured to control the process based on the set of target values during each operational cycle of the process control system. The simulated outputs include one or more predicted future values up to the steady state of the process.

Multi-objective predictive process optimization with concurrent process simulation

Interactive gaming systems and methods with haptic feedback are described. One described apparatus comprises: a portable manipulandum configured to simulate an element associated with a sports activity; a sensor in communication with the portable manipulandum and configured to detect a movement of the portable manipulandum; an actuator disposed in the portable manipulandum; and a processor in communication with the sensor and the actuator. The processor is configured to receive a sensor signal from the sensor associated with the movement of the portable manipulandum and to output a control signal to the actuator based at least in part on the sensor signal. The control signal is configured to cause the actuator to output a haptic feedback associated with the movement of the portable manipulandum, e.g., simulating an impact between the portable manipulandum and an object.

Interactive gaming systems with haptic feedback

Modeling and simulation (M&S) is increasingly used in drug development to characterize pharmacokinetic-pharmacodynamic (PKPD) relationships and support various efforts such as target feasibility assessment, molecule selection, human PK projection, and preclinical and clinical dose and schedule determination. While model development typically require mathematical modeling expertise, model exploration and simulations could in many cases be performed by scientists in various disciplines to support the design, analysis and interpretation of experimental studies. To this end, we have developed a versatile graphical user interface (GUI) application to enable easy use of any model constructed in SimBiology® to execute various common PKPD analyses. The MATLAB®-based GUI application, called gPKPDSim, has a single screen interface and provides functionalities including simulation, data fitting (parameter estimation), population simulation (exploring the impact of parameter variability on the outputs of interest), and non-compartmental PK analysis. Further, gPKPDSim is a user-friendly tool with capabilities including interactive visualization, exporting of results and generation of presentation-ready figures. gPKPDSim was designed primarily for use in preclinical and translational drug development, although broader applications exist. gPKPDSim is a MATLAB®-based open-source application and is publicly available to download from MATLAB® Central™. We illustrate the use and features of gPKPDSim using multiple PKPD models to demonstrate the wide applications of this tool in pharmaceutical sciences. Overall, gPKPDSim provides an integrated, multi-purpose user-friendly GUI application to enable efficient use of PKPD models by scientists from various disciplines, regardless of their modeling expertise.

/pdf/gpkpdsim-a-simbiology-based-gui-application-for-pkpd-g2me8ras7b.pdf

gPKPDSim: a SimBiology®-based GUI application for PKPD modeling in drug development

A system for modeling, simulating and analyzing chemical and biochemical reactions includes a modeling environment for constructing a model of a chemical or biochemical system comprising a plurality of chemical reactions. The system also includes a simulation engine accepting as input said constructed model of the chemical or biochemical system and generating as output an expected result. The modeling environment includes a block diagram explorer for displaying a block diagram in a graphical user interface describing the system as a hierarchical network of interconnected blocks. Each block represents a species participating one of the chemical reactions or one of said chemical reactions in the system. The block diagram explorer allows for a user to manipulate and modify the graphical parameters of the block diagram representation to provide insight into the functionality and operation of the system being modeled.

Block diagram explorer in a method and apparatus for integrated modeling, simulation and analysis of chemical and biological systems

An integrated system for modeling, simulating and analyzing chemical and biochemical reactions includes a modeling environment for constructing a model of a chemical or biochemical reaction. The system also includes a simulation engine accepting as input said constructed model of the chemical or biochemical reaction and generating as output an expected result. An analysis environment communicates with the simulation engine and displays the expected result.

Method and apparatus for integrated modeling, simulation and analysis of chemical and biochemical reactions

An system for improved modeling of chemical and biological systems includes a graphical user interface accepting user commands and input'for constructing a model of a biological system or a chemical reaction. The system also includes a simulation engine .accepting as input said constructed model of the chemical reaction or biological system 'and generating as output dynamic behavior of the modeled biological system or chemical reaction. An analysis environment communicates with the simulation engine and displays the dynamic behavior.

Method and apparatus for improved modeling of chemical and biochemical reactions

A system for modifying a model of a chemical reaction or biochemical process responsive to experimental results generated by an in situ experiment conducted on an experimental platform includes a simulation engine and an analysis environment. The simulation engine generates an expected result from a model of the chemical reaction or biochemical process. The analysis environment communicates with the simulation engine, gathers data from an experimental platform, and compares the expected result to data gathered from the platform.

Method and apparatus facilitating communication with a simulation environment

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