Abstract: A system for use in video game development to generate expressive speech audio comprises a user interface configured to receive user-input text data and a user selection of a speech style. The system includes a machine-learned synthesizer comprising a text encoder, a speech style encoder and a decoder. The machine-learned synthesizer is configured to generate one or more text encodings derived from the user-input text data, using the text encoder of the machine-learned synthesizer; generate a speech style encoding by processing a set of speech style features associated with the selected speech style using the speech style encoder of the machine-learned synthesizer; combine the one or more text encodings and the speech style encoding to generate one or more combined encodings; and decode the one or more combined encodings with the decoder of the machine-learned synthesizer to generate predicted acoustic features.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.

Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.

Abstract: RoboNegotiator (RN) describes an unbiased match engine which preserves the identity of all the parties involved until an anonymity match, mutual interests or deal terms match their individual needs. RN automatically negotiates sellers offers against buyer's offers for a live match within an overlap of the seller's spread and the buyer's spread subject to predetermined seller's parameters and an ability of the buyer to initiate a negotiation against a forecast. Negotiations are forecast an n number of times via a machine learning of a prior deal history behavior of the seller and the buyer within the system for commerce and a crawled/scrapped market data in a geographical proximity. There is no risk of identity exposure if there is no mutual interest or deal and hence the disclosed RN will also preserve “confidentiality” of interest, deal terms and dreams.

Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: A system is disclosed. The system includes a first stage configured to receive VIN and VREF, the first stage including an input transistor pair, wherein the input voltage is coupled to the input transistor pair, the input transistor pair is coupled to ground, and the input transistor pair includes at a common drain a high-gain node having a voltage VHGN. The system further include a second stage coupled to the high-gain node and configured to generate VOUT based on a difference between VIN and VREF, the second stage comprising a resistor and an inverter transistor pair, wherein the gates of the inverter transistor pair are coupled to the high-gain node of the first stage and the resistor couples the high-gain node of first stage to a common drain of the inverter transistor pair and is configured to provide and/or draw current to and/or from the high-gain node of first stage.

Abstract: A system is disclosed. The system includes a first stage configured to receive VIN and VREF, the first stage including an input transistor pair, wherein the input voltage is coupled to the input transistor pair, the input transistor pair is coupled to ground, and the input transistor pair includes at a common drain a high-gain node having a voltage VHGN. The system further include a second stage coupled to the high-gain node and configured to generate VOUT based on a difference between VIN and VREF, the second stage comprising a resistor and an inverter transistor pair, wherein the gates of the inverter transistor pair are coupled to the high-gain node of the first stage and the resistor couples the high-gain node of first stage to a common drain of the inverter transistor pair and is configured to provide and/or draw current to and/or from the high-gain node of first stage.

Abstract: Embodiments relate to tenant-side detection and mitigation of performance degradation resulting from interference generated by a noisy neighbor in a distributed computing environment. A first machine-learning model such as a k-means nearest neighbor classifier is operated by a tenant to detect an anomaly with a computer system emulator resulting from a co-located noisy neighbor. A second machine-learning model such as a multi-class classifier is operated by the tenant to identify a contended resource associated with the anomaly. A corresponding trigger signal is generated and provided to trigger various mitigation responses, including an application/framework-specific mitigation strategy (e.g., triggered approximations in application/framework performance, best-efforts paths, run-time changes, etc.), load-balancing, scaling out, updates to a scheduler to avoid impacted nodes, and the like. In this manner, a tenant can detect, classify, and mitigate performance degradation resulting from a noisy neighbor.

Abstract: A system is disclosed. The system includes a first stage configured to receive VIN and VREF, the first stage including an input transistor pair, wherein the input voltage is coupled to the input transistor pair, the input transistor pair is coupled to ground, and the input transistor pair includes at a common drain a high-gain node having a voltage VHGN. The system further include a second stage coupled to the high-gain node and configured to generate VOUT based on a difference between VIN and VREF, the second stage comprising a resistor and an inverter transistor pair, wherein the gates of the inverter transistor pair are coupled to the high-gain node of the first stage and the resistor couples the high-gain node of first stage to a common drain of the inverter transistor pair and is configured to provide and/or draw current to and/or from the high-gain node of first stage.

Abstract: In a method, a brake torque signal provided by an electronic control unit of an anti-lock braking system is validated. The brake torque signal is enabled for use as a brake event input signal upon being successfully validated for diagnostic and control routines of the vehicle that use the brake torque signal as a brake event input signal. If the brake torque signal fails validation, it is disabled for such use. The brake torque signal is validated by first rationalizing a brake pedal position signal and a master cylinder pressure signal. Once the brake pedal position signal is successfully rationalized with the master cylinder pressure signal, the brake pedal position signal is rationalized with the brake torque signal. The brake torque signal is successfully validated when both rationalizations are successful. The validation fails if either rationalization fails.

Abstract: A computing platform may perform computer database file management by implementing statistics maintenance and column similarity. The computing platform may receive an input table and determine a data type for the received input table. The computing platform may determine statistics relevant to the input table, and statistics relevant to historical tables of the data type. Statistics may include overlap, distribution, mean, standard deviation, percentile, median, and the like. Based on the determined statistics, the computing platform may determine a similarity score between the input table and the historical tables. Based on the statistics and column similarity, the computing platform may perform database file management, such as storing records, updating records, identifying data anomalies, sending alerts related to identified data anomalies, moving records, tagging records, and the like. The computing platform may send alerts related to identified data anomalies to remote devices.

Abstract: Systems and methods for benchmark based cross platform service demand prediction includes generation of performance mimicking benchmarks that require only application level profiling and provide a representative value of service demand of an application under consideration on a production platform, thereby eliminating need for actually deploying the application under consideration on a production platform. The PMBs require only a representative estimate of service demand of the application under test and can be reused to represent multiple applications. The PMBs are generated based on a skeletal benchmark corresponding to the technology stack used by the application under test and an input file generated based on application profiling that provides pre-defined lower level method calls, data flow sequences between multi-tiers of the application under test and send and receive network calls made by the application under consideration.

Abstract: Method and system for managing data flow across a hydrocarbon accounting system are disclosed. The method includes identifying at least one failed tag associated with location nodes in a hydrocarbon data management and processing system. Thereafter, at least one source tag associated with the at least one failed tag is identified. Attribute values of the at least one source tag and a source mapping associated with the at least one failed tag is then retrieved. Attribute values retrieved from at least one successful tag and the at least one source tag are then compared with an associated predefined threshold range. Notification messages are generated for each of the at least one failed tag. Notification messages may also be generated for successful tags and source tags having attribute values outside the associated predefined threshold range. The method includes performing a self-healing technique based on the at least one notification message.

Abstract: Blackbox describes an unbiased match engine which preserves the identity of all the parties involved until an anonymity match and mutual interests or deal terms match their individual needs. One match engine system embodiment is known as RoboNegotiator™ which acts as a third-party negotiator, mediator, broker, introducer and anonymous facilitator operating independently without having business interest with either party and without letting involved parties game the system. A partial compare enables a negotiation for a remaining unmatched data concurrently, in one of an unbiased automated, semi-automated and non-automated modes. The entity requesting matching services will never be sure if there is any matching interest or if all terms and conditions are really met or not. There is no risk of identity exposure if there is no mutual interest or deal and hence the disclosed match engine will also preserve “confidentiality” of interest, deal terms and dreams.

Abstract: In a particular implementation, an apparatus to stabilize a supply voltage includes a first current source, a second current source, and a control circuit. The first current source is responsive to a detection signal and has an output coupled to a voltage regulator circuit via an output node. The second current source is also coupled to the output node. The control circuit includes an input responsive to the detection signal and an output coupled to the second current source. The control circuit is configured to enable the second current source based on a delayed version of the detection signal.

Abstract: The present invention is related to a process of preparing a stable pharmaceutical composition of phytonadione comprising the steps of a preparing dispersion of phytonadione in a pharmaceutically acceptable binder; spraying/mixing the dispersion on pharmaceutically acceptable excipients and finally, formulating the composition into a pharmaceutically administrable dosage form. The present invention further relates to preparation of stable pharmaceutical composition of phytonadione which exhibits an improved bioavailability in comparison to marketed pharmaceutical composition of phytonadione. Moreover, the present invention relates to phytonadione pharmaceutical composition which remains stable as per ICH guidelines.

Abstract: In a particular implementation, an apparatus to stabilize a supply voltage includes a first current source, a second current source, and a control circuit. The first current source is responsive to a detection signal and has an output coupled to a voltage regulator circuit via an output node. The second current source is also coupled to the output node. The control circuit includes an input responsive to the detection signal and an output coupled to the second current source. The control circuit is configured to enable the second current source based on a delayed version of the detection signal.