Licensing Software

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Algorithms & Signal Processing

ID 2537          Small Molecule Inhibitor Starting Points

Researchers have performed a systematic analysis of protein-ligand and protein-protein complexes in the Protein Data Bank (PDB) to identify clusters of interface residues that delineate the binding site of a high affinity small molecule at the PPI interface. These clusters are referred to as Small Molecule Inhibitor Starting Points (SMISPs), since the binding mode of these residues in the acceptor protein provides a starting point for small molecule inhibitor design.

ID 2440          Automatic Identification of Movement in Noisy Doppler Images

 Investigators have developed software that will identify movement in doppler images. This is useful in visualization of microscopic vessels in the eye.

ID 2530          Software with an improved ability to track a large number of markers

This is a newly developed software that details a statistical algorithm able to track a series of markers throughout time, label missing markers in any frame from any available unlabeled markers and fill in gaps in an optimal way.  This algorithm can be applied to any marker data, not only hand marker data.

The algorithm of this software requires the user to manually label a few frames at the beginning and end of the data stream, to serve as a seed.  It then uses a two-pass kalman filter to obtain an estimate of each marker's position at every frame.  If a marker is missing, the algorithm tries to match it with all available unlabeled markers.  If no match is found, the algorithm's estimate of the marker's location is used instead.  Using a two-pass kalman filter means that the data is processed both in the forward (forward in time) and backwards direction. The forward and backwards estimates of the marker positions are then combined in an optimal way, to generate the final output.

ID 2212          Virtual interactive therapy agents

 Virtual Interactive Therapy Agents (VITA) are animated characters designed to interact with individuals while doing therapy to motivate them to achieve their therapy goals. VITA are designed for therapy specific applications such as for applying force, arm movements, and gait pattern. VITA interacts with the wired/wireless sensors worn by individual at the time of therapy and reacts based on the state of these sensors.

ID 2364          Machine learning algorithm to subset the MEDLINE indexed literature

Investigators have developed a two-part solution to address performance issues in literature retrievals. First step, the MEDLINE query is optimized to see whether the retrieval of in-scope papers can be improved. Second, inventors developed a basic classifier using machine learning algorithms to make a binary decision on each retrieved paper: whether a paper is about the specific field or not.  Inventors are currently in the process of evaluating and refining the performance of the classifier.

ID 2016          Military Impulse Noise Classifier (Noise Out Software)

University researchers have developed a noise classifier for the DOD which is able to discern impulses or blast noises from other sources, such as wind and aircraft. This greatly aids to monitor the community noise that they create to validate complaints for possible damage claims.        

ID 1870          Automated Configuration of Initial Control Parameters in Photodetectors for Flow Cytometry

 Investigators have designed system(s) and method(s) for configuration of initial control parameters or amplification control parameters (ACPs) for multiple photodectors with digital electronics utilized in a multi-color flow cytometer. For a photodetector that is a photomultiplier device, amplification is controlled by modulating the voltage applied to the photomultiplier device. Configuration is automatic and iterative and optimizes calibration of amplification control parameters subject to constraints that ensure optimal spectral compensation at startup.

 ID 1796          Eye Movement Detection with Spectral Domain Optical Coherence Tomography

 The present invention is a new technique of eye movement detection that is designed and developed based on Spectral Domain Optical Coherence Tomography (SD-OCT) and image processing algorithms. The new technique outperforms the existing devices in detecting high frequency movement and fore-aft movement. The fast scan time (a couple of seconds) and invasive scan technique make it easier to process and more conformable to the patient.

ID 1707          Entromics: Identification and design of custom sequences with desired functionality

 System(s) and method(s) for analysis and design of genome sequences are provided. The present invention discloses methods of generating composition of matter not present either in original or in other sequences in terms of providing a way of determining additional sequences that share tau-homology with those determined by above methods.

ID 1078          OCMAP Software

 The Occupational Cohort Analysis Program (OCMAP-Plus) is a computer software package that performs statistical analysis related to epidemiological studies particularly among occupational groups.

ID 1013          Higher-Order Polynomial Model of Ventricular Electrograms

 This study demonstrated that a higher-order mathematical model of the mammalian ventricular electrogram is feasible, reproducible, and can significantly predict intervention with anti-arrhythmic drugs.  This segmental, polynomial model of the rabbit ventricular electrogram not only captures the phenomenon occurring during depolarization but also during repolarization. This model may provide insight into the arrhythmic substrate.

ID 917             Novel layer segmentation algorithm for optical coherence tomography images

University researchers have developed a novel algorithm that enables us to quantify various retinal layers helping ophthalmologists to diagnose and evaluate a variety of disease status including glaucoma, diabetic retinopathy, and age-related macular degeneration.

ID 516            Spare Capacity Allocation Method And Algorithms

 The present invention relates generally to techniques for improving network survivability and more particularly to techniques for determining a spare capacity allocation and techniques for optimizing a network restoration scheme.

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Application Software & Utilities

ID 2224          Three-Dimensional Alignment and Eye Movement Correction with Spectral Domain Optical Coherence Tomography

 This software provides an automated and independent software technique to correct the eye movement on 3D OCT image without relying on any reference image such as scanning laser ophthalmoscope (SLO) image, fundus photograph, or extra B-scan and extra 3D volume data. The aim is not only to restore the spatial integrity of 3D SD-OCT data, but also to reduce the variation of inter-visit scans so as to enhance the early detection of progression and improve longitudinal study of glaucoma and other retinal diseases.

ID 2147          Software to Analyze Copy Number Alterations

 Innovators have designed a novel algorithm that allows the generation of an internal reference signal for copy number alteration detection. This method, referred to as Virtual Normals, allows for the construction of an unbiased reference signal, free of aberrations, from the test samples of a given experiment. This approach has been proven to obtain the best signal-to-noise ratio of alteration values, as validated by an Applied Biosystems Taqman copy number analysis approach.

ID 2057          Blog Analysis Toolkit

The Blog Analysis Toolkit (BAT) is a free, Web-based system for capturing, archiving and sharing blog posts. Blog posts are acquired via RSS feeds, and stored in a database where they can be accessed and shared by other researchers. So far, 414 users have set up BAT accounts since April 2008, and collectively they have archived 104076 posts from 471 blogs. Users can add individual blogs to the repository or do research using samples from existing collections created by other users.

ID 2011          Biomimetic Control Software for Robotic Arms

 This type of control system is intended to mimic biological movement for use in haptic and human-interactive robotic systems and prosthetics.  Interaction with robots using this type of control software allows flexible real-time control over position and velocity of the arm, while limiting interaction forces and torques.  Thus, using this kind of robot arm in dynamic and unpredictable (i.e. real-life) situations allows for object interactions that are somewhat like that of a human performing similar tasks.  The system behaves gracefully even with noisy high-level command signals that contain a large amount of error.

ID 1768          Developing a laboratory safety program

 Effectively building a campus-wide laboratory safety program requires accurate knowledge of the biological materials and hazardous chemicals used in the laboratories, coupled with methods to evaluate and control the risks associated with their use.  In 2002, the University of Pittsburgh Department of Environmental Health and Safety (EHS) initiated internal development of an enterprise solution designed to integrate investigator registration, protocol-specific risk assessment and the laboratory inspection program.

ID 1467          Ultrahigh density patternable conducting media

 This is a novel method for using an oxide heterostructure as a “nanoelectronic sketchpad”, suitable for ultra-high density lithographic patterning of a quasi-two dimensional electron gas.

ID 1137          Schematic Software

 Schematic is a program written in S for the analysis, classification and schematic representation of bivariate relationships among multiple risk factors for a given outcome.

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Bioinformatics

ID 2473          Pupillary predictor of treatment outcome for affective disorders

The subject invention is a technique that uses pupillary responses to predict response to treatment for affective disorders. Pupillary responses can be extracted from any sufficiently detailed image of the eye, including webcam pictures. Using standard capture of eye images in response to stimuli, this technique can discriminate likelihood of outcomes to best-practices treatment for affective disorders.

ID 2436          G Clamp

Dynamic clamp is one of three methods in cellular electrophysiology that employs dynamic feedback to control the output of an intracellular recording amplifier.

The dynamic-clamp method provides a powerful electrophysiological tool for creating virtual ionic conductances in living cells and studying their influence on membrane potential.  Researchers have designed the G-Clamp system to implement the dynamic clamp method for cellular electrophysiology.

ID 2392          Craniux: A Modular Software Framework for Brain-Machine Interface (BMI) Research

 “Craniux,” is an open-access, open-source software framework for brain-machine interface (BMI) research. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. Results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development.

ID 1929          Pittsburgh Cervical Cancer Screening Module

Cervical cancer is the easiest female cancer to prevent, with regular screening tests and follow-up. University of Pittsburgh researchers have built the Pittsburgh Cervical Cancer Screening Model (PCCSM), a dynamic Bayesian network that addresses the cervical cancer screening risk assessment challenges in an environment predominantly utilizing newer screening technologies.  

ID 1869          Mathematical Modeling of Inflammation Following Traumatic Brain Injury  

University researchers have developed a mathematical model that offers the potential to diagnose and prognosticate individual outcomes and to serve as a platform for rational drug/device design for traumatic brain injury. 

ID 1741          Phamerator 

 Researchers have developed a collection of computer programs that is used for comparing the genomes of sequenced bacteriophage genomes. (Bacteriophages are viruses that infect bacteria.)              

ID 1633          Novel Method to establish Backward Compatibility between Time Domain Optical Coherence Tomography (TDOCT) and Spectral Domain Optical Coherence Tomography (SDOCT)

 This invention is a new technique to solve the backward compatibility problem between TDOCT devices (entrenched technology) and SDOCT devices (new technology with increasing market penetration). SDOCT has higher resolution and faster acquisition times in comparison to TDOCT. There is currently no technology / methodology to provide backward compatibility between two-dimensional (2D) TDOCT scans and three-dimensional (3D) SDOCT volumetric data.

ID 1551          Combinatorial approaches to physiologic pattern recognition (CAPPER)

 The inventors have developed a novel algorithm and software for diagnostic, monitoring, and prognostic applications. Populations of interest include those individuals with Sleep Disordered Breathing, Chronic Kidney Disease, those who are critically ill, and those with heart failure or hypertension. This invention involves a mathematical model that utilizes combinatorial approaches to recognize physiological patterns.  The algorithm consists of determining physiological inputs like heart rate over a certain time frame.  The physiological inputs are then converted to binary numbers by comparing values taken at consecutive times.  The binary numbers are then combined and analyzed to identify common patterns.

ID 1356          Clinical Decision Modeling System

The Clinical Decision Modeling System (CDMS) is a software resource that allows clinical researchers to objectively determine the priority of their integrative translation clinical research. From a maze of complex possibilities, the software calculates the expected performance of a clinical strategy if various clinical options were to be used in combination using an initial but testable assumption of conditional independence among the options.

ID 1259          Facility level analytic tools for infection control engineering

 This software package facilitates the rational design and implementation of infection control strategies across settings ranging from individual caregivers, through clinics, and up to clinic systems. The product supports two related but separate applications:

1) It allows the user to explore alternative infection control/pathogen containment strategies, identifying those demonstrating the greatest absolute effectiveness, the highest level of cost-effectiveness, and the lowest likelihood of catastrophic containment failure.

2) It can identify departures from the expected levels of pathogen dissemination; that is, it can be used as a surveillance tool to identify system- or individual- level issues that compromise patient safety, and to generate "metrics," or measures, of caregiver, clinic, and clinic system performance.

ID 1130          Skull Stripping Program Based On Watershed Transform with Adaptive Threshold and Restraining the Non-cortex Basin from Merging Neighbor Basins

 This is an algorithm that has been implemented into a computer software program to improve images in fMRI.

ID 1111          Proteomic Data Mining with Wrapper-based Rule Learning Methods

University researchers have introduced a suite of techniques that enable rapid and reliable analyses of high-throughput proteomic data. Proteomics is the large-scale study of proteins, particularly their structures and functions.  

ID 1000          Real-Time Data Acquisition and Control System for the Measurement of Motor and Neural Data      

This software is a powerful, yet flexible real-time data acquisition and control system for use in the triggering and measurement of both analog and digital events.         

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Healthcare

ID 2735          The Likelihood of Diagnosis Index (LODI) Standalone Software Program

This innovation helps to address the all-too-common problem of misdiagnosis. Perhaps the most common question patients ask their health care providers is, “How certain are you?” The Likelihood of Diagnosis Index (LODI) provides a way for health care providers to quantify the degree of confidence or uncertainty associated with a diagnosis. It can be applied to all diagnoses that are syndromes (co-occurrences of symptoms) with particular relevance for psychiatric diagnoses.

ID 2478          Novel software for predicting unknown drug-target interactions

 A software package that predicts new (unknown) associations between known drugs and their targets (usually proteins), thus allowing the identification of new potential drugs, among those already FDA-approved, to target well-defined proteins or pathways. By predicting unknown associations, the software can solve problems such as assessing the mechanism through which a drug produces its side effects, the therapeutic activity of a drug in greater detail and, given some information about a drug lead, predictions about potential side effects or toxicity/lethality is also possible.

ID 2415          New Survey Tool to Measure Emergency Medical Services (EMS) Teamwork

This is the first survey tool that may help to identify poor teamwork and optimize crew pairings to improve safety in emergency medical services (EMS).  A novel algorithm allows determination of the familiarity of all staff members in an emergency department.  In this setting (emergency care),  familiarity is defined as the hours worked together over a given time period. Shift schedules are the main source of data for this measure.

ID 2362          Rapid Assessment and Characterization of Environmental Risks (RACER)

It is important to assess the ability of data linkage and analysis techniques to detect potential associations between a hazard and a health effect within the context of the Environmental Public Health Tracking Network. RACER is a new software tool designed by researchers in the Departments of Epidemiology and Biostatistics that enables public health officials and others to evaluate the appropriateness and feasibility of conducting health tracking activities or targeted epidemiological investigations of possible health risks from environmental exposures.  Available at http://www.racer-pitt.com/racer/

ID 2201          Therapy Motivation Software

 Investigators at the School of Health and Rehabilitation Sciences at the University of Pittsburgh have developed novel software to motivate patients during physical therapy. This software can be used by occupational and physical therapists to motivate individuals with severe disabilities to participate in therapeutic activities.

ID 1947          Real-Time "X-Ray Vision" for Healthcare Simulation: An Interactive Projective Overlay System to Enhance Intubation Training and Other Procedural Training

 The subject invention is a real-time, interactive projective overlay system that projects video images directly onto the surface of a full-body mannequin human simulator. These images create the appearance of seeing structures and activity occurring within the body.

ID 1914          Responsible literature citation conduct tool

 All scientists produce reports on their findings, in which they place the work they have done into the context of work conducted by others. Accurate and appropriate citation is at the heart of scientific integrity. However, mis-citations occur, for example as a result of the desire to boost an individual's recognition, harm the reputation of others or simply due to neglect or even innocent oversight. In this technology, the inventors describe the development of computational tools that not only reveal citation misconduct but also correct the citation errors made.

 ID 1796          Eye Movement Detection with Spectral Domain Optical Coherence Tomography

 The present invention is a new technique of eye movement detection that is designed and developed based on Spectral Domain Optical Coherence Tomography (SD-OCT) and image processing algorithms. The new technique outperforms the existing devices in detecting high frequency movement and fore-aft movement. The fast scan time (a couple of seconds) and invasive scan technique make it easier to process and more conformable to the patient.

ID 1603          Software for patient isolation of organisms of epidemiological significance

 In order to initiate counter active measures designed to minimize the spread of pathogens of epidemiological significance, collection of historical and timely information, concerning the infection/colonization status of current patients, is a necessity. A software program was devised to provide electronic notification of suspect situations where patient isolation is indicated and results with instructions for implementation are provided real time to the point of patient care. This promotes quality efforts and patient safety activities.

ID 1541          Standard surface electrocardiogram (EKG) reconstruction from implanted device electrograms (EGM)

 This invention is a method of reconstruction of the standard 12-lead surface EKG given values of the electrical potential from an implanted medical device. This implanted device can be oriented in an arbitrary fashion and reconstruction technique is obtained through physical measurement of the orientation of the implanted device or correlation with a standard 12-lead EKG obtained from the patient.

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Imaging

ID 2473          Pupillary predictor of treatment outcome for affective disorders

The subject invention is a technique that uses pupillary responses to predict response to treatment for affective disorders. Pupillary responses can be extracted from any sufficiently detailed image of the eye, including webcam pictures. Using standard capture of eye images in response to stimuli, this technique can discriminate likelihood of outcomes to best-practices treatment for affective disorders.

ID 2245          Normalization of Optical Coherence Tomography (OCT) Signal

 Investigators have developed software which can be used to normalize OCT signals which allows visualization and sharing of data with other users regardless of the machine used.

ID 2244          Universal Optical Coherence Tomography (OCT) Image Browser Software for iPad

 Investigators have developed a true 3D OCT image browser running natively on an iPad. As soon as the technician scans the patient, images can be converted to iPad friendly portable format and then synced with the data through iTunes or the local WiFi. Within a minute, newly acquired 3D OCT images will appear on the iPad screen, where they can be freely explored and manipulated directly with the finger tips.

ID 2210          Software to reduce speckle noise in medical imaging

 Speckle noise is the most common type of noise, which degrades image appearance as well as clinical interpretation accuracy/reliability, with various medical imaging modalities, including optical coherence tomography (OCT) and ultrasound. This software reduces speckle noise by modeling the signal shape without affecting the image quality of an optical coherence tomography scan.

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Manufacturing

ID 1467          Ultrahigh density patternable conducting media

 This is a novel method for using an oxide heterostructure as a “nanoelectronic sketchpad”, suitable for ultra-high density lithographic patterning of a quasi-two dimensional electron gas.

ID 1071          Method and Software for Customized/Power Efficient IC Devices

 An RFID device consisting of multiple antennas each containing a single diode that reflects (backscatter) RF energy at twice the energizing frequency from an antenna tuned to the proper (energizing) frequency.

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Open Source

ID 2392          Craniux: A Modular Software Framework for Brain-Machine Interface (BMI) Research

 “Craniux,” is an open-access, open-source software framework for brain-machine interface (BMI) research. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. Results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development.

ID 2362          Rapid Assessment and Characterization of Environmental Risks (RACER)

It is important to assess the ability of data linkage and analysis techniques to detect potential associations between a hazard and a health effect within the context of the Environmental Public Health Tracking Network. RACER is a new software tool designed by researchers in the Departments of Epidemiology and Biostatistics that enables public health officials and others to evaluate the appropriateness and feasibility of conducting health tracking activities or targeted epidemiological investigations of possible health risks from environmental exposures. Available at http://www.racer-pitt.com/racer/

ID 1914          Responsible literature citation conduct tool

 All scientists produce reports on their findings, in which they place the work they have done into the context of work conducted by others. Accurate and appropriate citation is at the heart of scientific integrity. However, mis-citations occur, for example as a result of the desire to boost an individual's recognition, harm the reputation of others or simply due to neglect or even innocent oversight. In this technology, the inventors describe the development of computational tools that not only reveal citation misconduct but also correct the citation errors made.

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Simulation and Modeling

ID 2575          Virtual Patient Simulation of Diabetic Ketoacidosis

 This is a web based teaching program through which students learn and practice clinical decision making skills and receive learner-specific feedback that depends on their choices.     

ID 2381          A Novel Virtual Reality Simulation System to Enhance Training of Peripheral Anesthesia

 This novel virtual reality system is intended to improve the training of delivering a peripheral nerve block to a patient. The system provides a comprehensive simulator for multiple aspects of various nerve block techniques, including both traditional neurostimulator-guided blocks and newer ultrasound-guided techniques. The key innovation of the current work is a unique approach that combines both real (physical) and virtual models. These models interact with one another and allow accurate, extensible and comprehensive simulation of all salient aspects of the nerve block procedure.

ID 1265          Modeling Wound Healing

 Provided are methods of simulating tissue healing. The methods comprise using a mechanistic computer model of the interrelated effects of inflammation, tissue damage or dysfunction and tissue healing to predict an outcome of healing of damaged tissue in vivo, thereby predicting the outcome of healing of damaged tissue in vivo. Implementations of these methods on a computing device also are provided. Non-limiting examples of diseases and/or conditions that are amenable to simulation according to the methods described herein include: a diabetes, diabetic foot ulcers, necrotizing enterocolitis, ulcerative colitis, Crohn's disease, inflammatory bowel disease, restenosis (post-angioplasty or stent implantation), incisional wounding, excisional wounding, surgery, accidental trauma, pressure ulcer, stasis ulcer, tendon rupture, vocal fold phonotrauma, otitis media and pancreatitis.

ID 1959          A novel statistical test and software for assessing the significance of difference in survivorship among survival classes from prognostic models

 The subject invention is a novel statistical test (F* Test) and associated software (written in Perl) to detect significant differences in the survivorship of classes of patients (Predictive Survivorship Groups). The F* Test is a variation of the standard F Test.  The F* Test takes into account the error rate of the model by studying the variance of the predicted survivorship in each predicted group around an unbiased mean group survivorship.

ID 1515          Branch-and-bound Analysis Kit (BAK)

 This software creates several visual representations of the status and progress of branch-and-bound solvers. The solver must output data about its branch-and-bound tree in a specific format, which is parsed by this software to create images.

ID 1499          Selection Tool for Optimization Parameters (STOP)

 This software aids in the selection of good parameters for optimization solvers. The user selects a solver interface and provides a set of representative instances along with a maximum number of trials. Given this limited number of trials, the software designs a series of tests to identify a good set of parameters. The software uses the ideas of parameter interactions and pairwise coverage as well as machine learning through regression trees or artificial neural networks.

ID 1498          Dynamic Discrete Disaster Decision Simulation System

 The inventors have developed an “all hazards” disaster modeling system that seamlessly integrates ArcGIS 9.2, Rockwell Automation’s Arena discrete event simulation and a control interface that mirrors an emergency operations center.

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System Software & Security

ID 1612          A Physical Layer Design Automation Flow for Wireless Systems

 Software for code/processing for insertion of pre-designed circuits into the overall RFID tag design. Of significance is the re-usability of such pre-design circuits which greatly reduces the testing time of RFID tags.

ID 1516          Automated File Transfer for MIM Batch Style Interfaces

 The inventor has created an automated file transfer system that will allow data from a mass spectrometer to be manipulated and seamlessly integrated into a lab’s information system with no end user intervention required.

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Training & Education

ID 2586           RANC: A computer-based ranking program for applicants to graduate medical education residency  programs

 Researchers have developed a computer-based approach to recording data about applicants and objectively ranking such applicants.

ID 2581          Education App for mobile platforms

 Researchers have developed a software for an educational course format that can contain videos of lectures, exercises, interactive tools, quizes, readings and other course materials in an App for the iPad and iPhone.

ID 2578          Educational simulation app for understanding pharmacokinetics

 Researchers have developed a software app that is a simulator of drug concentrations in the body after dosing a patient. The simulation allows students to interact with software by changing patient parameters (such as the patient’s ability to remove a drug from the body) and observe how these changes will alter the concentration of the drug in the patient.

ID 2230          Virtual Drawing Software

 This software uses open-source machine vision and animation libraries to allow users to “draw” on the computer screen by moving colored objects in front of a web-cam.

ID 1801          Intelligent Pathology Training System

 The invention, SlideTutor, relates to an intelligent pathology training system (intelligent tutoring system) and specifically a tutoring system for microscopic diagnosis of inflammatory diseases of the skin. The system uses Artificial Intelligence to create a simulated and adaptive environment for medical training.

ID 1642         Recorded Speaking Activity (RSA)

University of Pittsburgh researchers have developed a language learning tool that helps students immensely in self-learning and self-correction.Despite the myriad studies on corrective feedback in second language acquisition and second language pedagogy research literature, few studies address the issue of the learner as the source of feedback. In other words, the student is providing self error correction support. This software, in contrast, focuses on the learner as a primary source of corrective feedback. Based on classroom anecdotal evidence, we believe learners are an effective source of corrective feedback if provided with opportunity, time, and support.

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Web & Internet

ID 1553          Real-Time Messaging Architecture

 RTMA (Real-Time Messaging Architecture) is a software architecture that solves the communication problem between heterogeneous software modules running on a single computer or a set of computers on a local network. It is a tool that helps programmers create small-scale distributed applications extremely rapidly by taking the nag out of making software modules talk to each other.

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Social & Gaming

ID 2539          Social Gaming to Promote Organ Donation

Researchers have developed a new approach to using social networking to educate the public about organ and tissue donation by developing a game that simulates a transplant center for the iPhone, iPad, iPod Touch and Facebook.

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