Abstract: Apparatuses and methods are disclosed for applying radio frequency (RF) energy from a source of electromagnetic energy to an object in an energy application zone. At least one processor may be configured to acquire information indicative of electromagnetic energy loss associated with at least a portion of the energy application zone. The processor may be further configured to determine a weight to be applied to each of a plurality of electromagnetic field patterns each having a known electromagnetic field intensity distribution and cause the source to supply each of the plurality of electromagnetic field patterns to the energy application zone at the determined weights.

Abstract: A method and system for improving performance and latency of instruction execution within an execution pipeline in a processor. The method includes finding, while decoding an instruction, a pointer register used by the instruction; reading the pointer register; validating a pointer register entry; reading, if the pointer register entry is valid, a register file entry; validating a register file entry; validating, if the register file entry is invalid, a valid register file entry wherein the valid register file entry is in the register file's future file; bypassing, if the valid register file entry is valid, a valid register file value from the register file's future file to the execution pipeline wherein the valid register file value is in the valid register file entry; and executing the instruction using the valid register file value; wherein at least one of the steps is carried out using a computer device.

Abstract: A method includes providing an elongated probe having a longitudinal axis and a distal end, and capable of rotation of the distal end about the longitudinal axis in mutually opposite first and second directions. While an operator manipulates the probe within a body of a patient, the rotation that is applied to the distal end is sensed automatically. An alert is issued to the operator upon sensing that the rotation is in the second direction, but not when the sensed rotation is in the first direction.

Abstract: A system for monitoring and diagnosing communication systems comprises: an interface, a processor, and a graphical user interface. The interface receives one or more communication data streams. The processor extracts information from the one or more communication data streams. And, the graphical user interface displays the information as a plurality of time-correlated lanes.

Abstract: Affiliations between users may be facilitated across multiple virtual spaces accessible via virtual environments. Affiliations may be established within individual ones of two or more virtual spaces. A given affiliation within a given virtual space may include a discrete group of users with a relationship having a functional significance within the given virtual space. The affiliations may include a first affiliation within a first virtual space between a group of users including a first user and a second user. A recommendation may be provided for potential affiliations to users in the two or more virtual spaces such that responsive to the first user having an account in a second virtual space, and responsive to the second user creating an account in the second virtual space, the first user may be recommended to the second user for a potential affiliation in the second virtual space based on the first affiliation.

Abstract: Magnetic nanoparticles and related devices and methods are described. Compositions and methods can include magnetic nanoparticles having a narrow size distribution for use in diagnostics and therapeutics.

Abstract: A coarse timing acquisition technique includes generating a sequence detection indicator. The sequence detection indicator indicates detection of a sequence of repeated symbols in a received signal. The sequence detection indicator is based on a first energy threshold and a normalized moving sum of an autocorrelation signal. The autocorrelation signal is based on the received signal.

Abstract: The present invention relates to certain pyrazolo[1,5-a]pyrimidine compounds of Formula (I) as inhibitors of mammalian Target Of Rapamycin (mTOR) kinase, which is also known as FRAP, RAFT, RAPT or SEP. The compounds may be used in the treatment of cancer and other disorders where mTOR is deregulated. The present invention further provides pharmaceutical compositions comprising the pyrazolo[1,5-a]pyrimidine compounds.

Abstract: An integrated circuit clock analysis system receives a cell library of gates of the integrated circuit and generates a macro model for each of the gates, where each macro model includes at least one of a nonlinear current source model, an input parasitics model or a nonlinear capacitors model. The system then tunes the macro models and generates a simulation deck from an electrical netlist of a layout of the integrated circuit and the tuned macro models. The system then performs clock analysis simulation based on the simulation deck.

Abstract: The present disclosure provides distributed, multi-tenant Virtual Private Network (VPN) cloud systems and methods for mobile security and user based policy enforcement. In an exemplary embodiment, plural mobile devices are configured to connect to one or more enforcement or processing nodes over VPN connections. The enforcement or processing nodes are configured to perform content filtering, policy enforcement, and the like on some or all of the traffic from the mobile devices. The present invention is described as multi-tenant as it can connect to plural clients across different companies with different policies in a single distributed system. Advantageously, the present invention allows smartphone and tablet users to protect themselves from mobile malware, without requiring a security applications on the device. It allows administrators to seamless enforce policy for a user regardless of the device or network they are connecting to, as well as get granular visibility into the user's network behavior.

Abstract: A system creates a trusted group of devices for single sign on. The trusted group is a set of two or more devices which can communicate securely to exchange information about the states of the devices. The two or more devices can arrange or establish the trusted group through the exchange of credentials or authentication information. After the establishment of the trusted group, the two or more devices may communicate through a secure connection established between the members of the trusted group. Each device may then execute normally and may encounter events that change the status of the device. Information about the locking or unlocking of the computer can be exchanged with the other members of the trusted group and the other members may also lock or unlock in concert.

Abstract: Aspects of the present invention include methods for determining a transplant category of a subject having a transplant. Common mechanisms of rejection injury are uncovered across different tissue transplants, and provide a means to understand rational drug design. Various sources of tissues are examined form the patient for understanding AR mechanism (graft biopsy), as well as monitoring by minimal invasive means (blood) or non-invasive means (urine for the kidney allograft). For biomarker discovery different categories of markers are examined such as genes, proteins, peptides and antibodies. These biomarkers can help determine the subject's transplant category (e.g., acute allograft rejection (AR), stable allograft (STA), BK viremia, BK nephritis, drug toxicity or chronic allograft injury (CAI), and the like). Also provided are compositions, systems, kits and computer program products that find use in practicing the subject methods. The methods and compositions find use in a variety of applications.

Abstract: A system and method for creating a gesture and generating a classifier that can identify the gesture for use with an application is described. The designer constructs a training set of data containing positive and negative examples of the gesture. Machine learning algorithms are used to compute the optimal classification of the training data into positive and negative instances of the gesture. The machine learning algorithms generate a classifier which, given input data, makes a decision on whether the gesture was performed in the input data or not.

Abstract: Methods and arrangements for instituting a viral marketing strategy. Participants in a social network are ascertained. Mutual influence of the participants in purchasing decisions is determined, and purchasing influence of products on one another is assessed. At least one seed is selected from the participants for maximizing purchasing influence of one product on another product, based on mutual influence of the participants on one another.

Abstract: An approach is disclosed for implementing failover and resume when using ordered sequences in a multi-instance database environment. The approach commences by instantiating a first database instance initially to serve as an active instance, then instantiating a second database instance to serve as an instance of one or more passive instances. The active database establishes mastership over a sequence and then processes requests for the ‘next’ symbol by accessing a shared sequence cache only after accessing a first instance semaphore. The active instance and the passive instance perform a protocol such that upon passive database detection of a failure of the active database, one of the passive database instances takes over mastership of the sequence cache, and then proceeds to satisfy sequence value requests. The particular order is observed in spite of the failure.

Abstract: An arrangement of interleavers allocates bits from an input symbol across sub-symbols transmitted via sub-carriers of multiple orthogonal frequency division multiplex (OFDM) carriers. The input bits are allocated in a fashion to provide separation across subcarriers, and rotation of sub-symbols across the OFDM carriers provides additional robustness in the present of signal path impairments.

Abstract: Methods are disclosed that teach two simulators used with demand response management systems. The first simulator generates load patterns from historical customer consumption data and generates customer loads from the generated load patterns. The second simulator generates customer response to changing electricity prices using an econometric characterization of the customer response.