Abstract: A system and method for modeling neuronal synaptic functionality at least partially instantiated on an optimized computation core of one or more high-speed processors. The synaptic model is preferably created as a neural net and includes, at least, a presynaptic component with a presynaptic target having, at least, a plasticity parameter and activity spike strength. The model also includes a retrograde signaling component with a retrograde messenger that selectively generates a molecular uptake signal, and a postsynaptic receptor component. The retrograde messenger acts on a presynaptic target to modulate the plasticity parameter and activity spike strength of the presynaptic component based upon a calculated molecular uptake at the postsynaptic receptor component to generate the molecular uptake signal which is then transmitted to the presynaptic component.

Abstract: Disclosed herein are compositions and methods for treating and preventing a disease or condition characterized by aberrant fibroblast proliferation and extracellular matrix deposition in a tissue of a subject in need thereof. The particular disease or condition can be fibrosis, specifically, radiation-induced fibrosis. The method for treating or preventing the disease or condition can include administering to the subject an effective amount of a composition that inhibits Fgr, a non-receptor tyrosine kinase.

Abstract: A method for molecular communication within a nanonetwork. The method includes the steps of: (i) providing a nanonetwork communication system including a transmitter, a receiver, and a physical channel layer, the physical channel layer including a medium configured to allow a communication molecule to be transmitted from the transmitter to the receiver; (ii) transmitting, via the physical channel layer, the communication molecule from the transmitter in a plurality of bursts, wherein information is encoded in the concentration of the communication molecule; (iii) receiving the communication molecule by the receiver; and (iv) varying at least one of the plurality of bursts, wherein varying the plurality of bursts modulates the information transmitted by the communication molecule.

Abstract: A method for molecular communication within a nanonetwork. The method includes the steps of: (i) providing a nanonetwork communication system including a transmitter, a receiver, and a physical channel layer, the physical channel layer including a medium configured to allow a communication molecule to be transmitted from the transmitter to the receiver; (ii) transmitting, via the physical channel layer, the communication molecule from the transmitter in a plurality of bursts, wherein information is encoded in the concentration of the communication molecule; (iii) receiving the communication molecule by the receiver; and (iv) varying at least one of the plurality of bursts, wherein varying the plurality of bursts modulates the information transmitted by the communication molecule.

Abstract: A method and associated systems for generic data compression. A mobile device receives realtime data from a medical-monitoring device, such as a heart monitor, worn by a patient. The invention compresses and encodes this data into ASCII text characters, which are transmitted via a commonly available low-bandwidth text-messaging service, such as the SMS service supported by most cell phones. The text messages are received by a second mobile device, which decodes the text characters into their original form and displays them to a healthcare practitioner. More critical portions of the data are encoded by a high-precision lossless compression mechanism. In some embodiments, the two mobile devices may be cell phones and the second device may have the ability to interpret the decoded information in order to determine whether to directly or indirectly alert the practitioner or other parties of an exceptional condition detected by the medical monitor.

Abstract: A method of routing data in a wireless sensor network, a program product and a wireless sensor network. The method, includes: (a) detecting a temporal event by a source sensor node of a wireless sensor network comprising a multiplicity of sensor nodes; (b) identifying multiple paths from the source sensor node to a sink of the wireless sensor network, the multiple paths consisting of sensor node to sensor node hops; and after (b), (c) using a processor of the source sensor node, optimizing a distribution of data packets to each path of the multiple paths by simultaneously reducing (i) power consumed by sensor nodes in each path of the multiple paths and (ii) a time to transmit the data packets from the source sensor node to the sink.

Abstract: A method and system for unified communications threat management (UCTM) for converged voice and video over IP is disclosed. A computer-implemented method for threat management receives an incoming packet. The incoming packet is broken into sub-packets and fed to a plurality of packet processing engines. Each packet processing engine inspects the sub-packets and annotate the sub-packets with meta-data. The annotated sub-packets are combined and processed by a plurality of application engine to generate a processed packet. The processed packet is classified and stored in a database.

Abstract: A method of routing data in a wireless sensor network, a program product and a wireless sensor network. The method, includes: (a) detecting a temporal event by a source sensor node of a wireless sensor network comprising a multiplicity of sensor nodes; (b) identifying multiple paths from the source sensor node to a sink of the wireless sensor network, the multiple paths consisting of sensor node to sensor node hops; and after (b), (c) using a processor of the source sensor node, optimizing a distribution of data packets to each path of the multiple paths by simultaneously reducing (i) power consumed by sensor nodes in each path of the multiple paths and (ii) a time to transmit the data packets from the source sensor node to the sink.

Abstract: A method and system for unified communications threat management (UCTM) for converged voice and video over IP is disclosed. A computer-implemented method for threat management receives an incoming packet. The incoming packet is broken into sub-packets and fed to a plurality of packet processing engines. Each packet processing engine inspects the sub-packets and annotate the sub-packets with meta-data. The annotated sub-packets are combined and processed by a plurality of application engine to generate a processed packet. The processed packet is classified and stored in a database.

Abstract: A system and method to precisely learn and enforce security rules for Unified Communication (UC) applications and endpoints is disclosed. According to one embodiment, a behavioral learning system learns and abstracts positive flow behaviors of UC applications and endpoints. The properties of previously received messages from the endpoints and learned behaviors of the plurality of endpoints are stored in a database. A message from a endpoint is received by a message scanner and correlated with the AOR records in the database. The message is classified into one of a whitelist, a blacklist, and a graylist based on the results of analysis by the analysis engine. The whitelist contains the AOR records that are legitimate, the blacklist contains the AOR records that are a potential attack, and the graylist contains the AOR records that belong to neither the whitelist nor the blacklist.

Abstract: An optimal resource utilization method and system is disclosed. The method includes monitoring an optical network comprising optical cross connect (OXC) nodes comprising regenerators and connected by links. Communication paths each comprising a group of OXC nodes connected by links of said links are selected. Routing demands, working communication paths, and protection communication paths are selected. A computer processor assigns successive links a wave length and allocates regenerators to multiple successive links. The computer processor positions a first group of the regenerators along the working communication paths and positioning a second group of regenerators along the protection communication paths.

Abstract: A method of routing data in a wireless sensor network, a program product and a wireless sensor network. The method, includes: (a) detecting a temporal event by a source sensor node of a wireless sensor network comprising a multiplicity of sensor nodes; (b) identifying multiple paths from the source sensor node to a sink of the wireless sensor network, the multiple paths consisting of sensor node to sensor node hops; and after (b), (c) using a processor of the source sensor node, optimizing a distribution of data packets to each path of the multiple paths by simultaneously reducing (i) power consumed by sensor nodes in each path of the multiple paths and (ii) a time to transmit the data packets from the source sensor node to the sink.

Abstract: A method and system for detecting a spam over internet telephony (SPIT) is disclosed. Incoming call requests are received and analyzed using heuristic algorithms. A runtime action is provided based on the analysis using the heuristic algorithms. The heuristic algorithms include zero-touch heuristic algorithms that require no human intervention, one-touch heuristic algorithms that require human intervention one time, and multi-touch heuristic algorithms that require human intervention more than one time. Cumulative probability is calculated for each incoming call request, and the incoming call request is classified as a spam if the cumulative probability exceeds a threshold.

Abstract: An optimal resource utilization method and system is disclosed. The method includes monitoring an optical network comprising optical cross connect (OXC) nodes comprising regenerators and connected by links. Communication paths each comprising a group of OXC nodes connected by links of said links are selected. Routing demands, working communication paths, and protection communication paths are selected. A computer processor assigns successive links a wave length and allocates regenerators to multiple successive links. The computer processor positions a first group of the regenerators along the working communication paths and positioning a second group of regenerators along the protection communication paths.

Abstract: A method and system for unified communications threat management (UCTM) for converged voice and video over IP is disclosed. A computer-implemented method for threat management receives an incoming packet. The incoming packet is broken into sub-packets and fed to a plurality of packet processing engines. Each packet processing engine inspects the sub-packets and annotate the sub-packets with meta-data. The annotated sub-packets are combined and processed by a plurality of application engine to generate a processed packet. The processed packet is classified and stored in a database.

Abstract: A method and system for detecting a spam over internet telephony (SPIT) is disclosed. Incoming call requests are received and analyzed using heuristic algorithms. A runtime action is provided based on the analysis using the heuristic algorithms. The heuristic algorithms include zero-touch heuristic algorithms that require no human intervention, one-touch heuristic algorithms that require human intervention one time, and multi-touch heuristic algorithms that require human intervention more than one time. Cumulative probability is calculated for each incoming call request, and the incoming call request is classified as a spam if the cumulative probability exceeds a threshold.

Abstract: A method and system for unified communications threat management (UCTM) for converged voice and video over IP is disclosed. A computer-implemented method for threat management receives an incoming packet. The incoming packet is broken into sub-packets and fed to a plurality of packet processing engines. Each packet processing engine inspects the sub-packets and annotate the sub-packets with meta-data. The annotated sub-packets are combined and processed by a plurality of application engine to generate a processed packet. The processed packet is classified and stored in a database.

Abstract: A method of routing data in a wireless sensor network, a program product and a wireless sensor network. The method, includes: (a) detecting a temporal event by a source sensor node of a wireless sensor network comprising a multiplicity of sensor nodes; (b) identifying multiple paths from the source sensor node to a sink of the wireless sensor network, the multiple paths consisting of sensor node to sensor node hops; and after (b), (c) using a processor of the source sensor node, optimizing a distribution of data packets to each path of the multiple paths by simultaneously reducing (i) power consumed by sensor nodes in each path of the multiple paths and (ii) a time to transmit the data packets from the source sensor node to the sink.

Abstract: A method and system for detecting a spam over internet telephony (SPIT) is disclosed. Incoming call requests are received and analyzed using heuristic algorithms. A runtime action is provided based on the analysis using the heuristic algorithms. The heuristic algorithms include zero-touch heuristic algorithms that require no human intervention, one-touch heuristic algorithms that require human intervention one time, and multi-touch heuristic algorithms that require human intervention more than one time. Cumulative probability is calculated for each incoming call request, and the incoming call request is classified as a spam if the cumulative probability exceeds a threshold.

Abstract: A system and method to precisely learn and enforce security rules for Unified Communication (UC) applications and endpoints is disclosed. According to one embodiment, a behavioral learning system learns and abstracts positive flow behaviors of UC applications and endpoints. The properties of previously received messages from the endpoints and learned behaviors of the plurality of endpoints are stored in a database. A message from a endpoint is received by a message scanner and correlated with the AOR records in the database. The message is classified into one of a whitelist, a blacklist, and a graylist based on the results of analysis by the analysis engine. The whitelist contains the AOR records that are legitimate, the blacklist contains the AOR records that are a potential attack, and the graylist contains the AOR records that belong to neither the whitelist nor the blacklist.