Abstract: Disclosed are systems and methods for performing targeted temperature management including a thermal pad having a thermoelectric device. A pad controller may regulate the temperature of the thermal pad. The thermal pad temperature can facilitate cooling and/or warming of the patient. The pad can include a thermal conduction layer and a skin contact layer. The system may include a controller to set the pad temperature of multiple thermal pads according to a TTM therapy. The thermal pad and the system can incorporate data from temperature sensors coupled to the thermoelectric device and the patient. The system controller may be coupled to the thermal pads via a wired or wireless connection.

Abstract: Disclosed are indicators for confirming fluid connections in systems, pads, and methods thereof for targeted temperature management. For example, a pad can include a multilayered pad body, a pad inlet connector, a pad outlet connector, and an indicator for visual indication of charging a conduit layer of the pad body with a supply fluid and confirmation of accurate fluid connections. The conduit layer includes one or more conduits for conveying a temperature-controlled fluid as the supply fluid from a hydraulic system of a control module as well as convey a return fluid back to the hydraulic system. A thermally conductive adhesive layer over the conduit layer is for placement on a portion of a patient's body. The pad inlet connector includes a pad inlet for charging the conduit layer with the supply fluid. The pad outlet connector includes a pad outlet for discharging the return fluid from the conduit layer.

Abstract: An electrosurgical unit including a radiofrequency generator configured to generate electrosurgical energy. The radiofrequency generator includes a first receptacle configured to electrically couple with an electrosurgical hand piece configured to deliver bipolar radiofrequency energy. A second receptacle is included and configured to electrically couple with an electrosurgical hand piece configured to deliver monopolar radiofrequency energy. The radiofrequency generator includes a relay circuit configured to allow simultaneous radiofrequency energy delivery to the electrosurgical hand pieces in the first receptacle and the second receptacle.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.

Abstract: An electrosurgical unit having power monitoring circuitry for reducing leakage current in an electrosurgical unit. The electrosurgical unit includes a power source configured to produce direct current, an RF waveform generator configured to convert the direct current into an RF signal, a voltage sensor configured to measure DC input voltage to the RF waveform generator, a current sensor configured to measure output current feedback, and a processor. The processor is configured to estimate output voltage feedback based at least upon the measured DC input voltage and the measured output current feedback, and output a control signal to control the DC input voltage to the RF waveform generator, the control signal based at least upon the estimated output voltage and the output current feedback.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.

Abstract: The disclosure relates to a method for treating cancer comprising administering a therapeutically effective amount of an EZH2 inhibitor to a subject in need thereof, wherein the cancer is characterized by at least one cancer cell originating from a stem cell, a progenitor cell, or an immature cell and wherein the at least one cancer cell comprises one or more genetic lesion(s) that confer(s) dependence of the cancer cell on an EZH2 function. In certain embodiments, the EZH2 inhibitor of the disclosure is tazemetostat or a pharmaceutically acceptable salt thereof.

Abstract: An electrosurgical system includes a radiofrequency (RF) generator having a controller configured to detect an occurrence of a vaporization point of target tissue and a vaporization duration between commencement of delivery of the RF energy and the occurrence of the vaporization point. The controller can apply the vaporization duration to adjust a parameter during subsequent electrode activation, such as RF power level, an electrode activation sequence, a distance between activated electrodes, and a number of activated electrodes. The controller can apply the vaporization duration to determine if whether a predetermined depth of effect has been reached for use in subsequent parameter adjustments.

Abstract: A system and method for creating an intelligent agent model for providing an expert opinion on source data includes obtaining at least one first data source for training an intelligent agent model, receiving training input on the at least one first data source from an individual, extracting a set of relevant attributes of the at least one first data source based on the received training input, weighting the set of relevant attributes based on at least one of the received training input or prior received training input, forming at least one neural network that comprises the intelligent agent model based on the set of relevant attributes and the weighting, ranking or scoring at least one section of a second data source using the intelligent agent model, and outputting the ranking or scoring.

Abstract: Systems, such as an electrosurgical unit, and method for use with an active electrode and a plurality of return electrodes are disclosure. An electrosurgical treatment is provided to tissue via the active electrode at a treatment site and a first return electrode of the plurality of return electrodes at the treatment site. An impedance measurement is received or determined of an impedance in the tissue between the active electrode at the treatment site and a second return electrode of the plurality of return electrodes at a site remote from the treatment site.

Abstract: An electrosurgical system includes a radiofrequency (RF) generator having a controller configured to detect an occurrence of a vaporization point of target tissue and a vaporization duration between commencement of delivery of the RF energy and the occurrence of the vaporization point. The controller can apply the vaporization duration to adjust a parameter during subsequent electrode activation, such as RF power level, an electrode activation sequence, a distance between activated electrodes, and a number of activated electrodes. The controller can apply the vaporization duration to determine if whether a predetermined depth of effect has been reached for use in subsequent parameter adjustments.

Abstract: Systems, such as an electrosurgical unit, and method for use with an active electrode and a plurality of return electrodes are disclosure. An electrosurgical treatment is provided to tissue via the active electrode at a treatment site and a first return electrode of the plurality of return electrodes at the treatment site. An impedance measurement is received or determined of an impedance in the tissue between the active electrode at the treatment site and a second return electrode of the plurality of return electrodes at a site remote from the treatment site.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: Systems and methods for synchronous content viewing are provided. In embodiments, a method includes providing an interface to a user of a remote user device; receiving a user selection of one or more contacts of the user as invitees to a synchronized session; providing content synchronously to the remote user device of the user and other remote user devices of the respective one or more contacts of the user based on receiving an acceptance from the one or more contacts of the user, wherein the user and the one or more contacts of the user view the content synchronously during the synchronized session; and providing functions of an application to the participants synchronously, wherein the functions enable the participants to interact with the content in real-time during the synchronized session, and wherein all participants view interactions with the content simultaneously.

Abstract: A microprocessor executable method transforms unstructured natural language texts by way of a preprocessing pipeline into a structured data representation of the entities described in the original text. The structured data representation is conducive to further processing by machine methods. The transformation process is learned by a machine learned model trained to identify relevant text segments and disregard irrelevant text segments The resulting structured data representation is refined to more accurately represent the respective entities.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for changing the manner in which an input signal is filtered based on a characteristic of an electronic test instrument. The method includes receiving, by the electronic test instrument, user input that modifies a characteristic of a channel of the electronic test instrument, and as a result changing the electronic test instrument from having the first digital filtering configuration to having a second digital filtering configuration, the first digital filtering configuration specifying that all or a majority of digital filtering occurs after the acquisition memory in the channel and the second digital filtering configuration specifying that all or a majority of digital filtering occurs before the acquisition memory in the channel.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.

Abstract: The methods and systems described herein relate to online methods of collaboration in community environments. The methods and systems are related to an online apparel modeling system that allows users to have three-dimensional models of their physical profile created. Users may purchase various goods and/or services and collaborate with other users in the online environment.