Abstract: A data-driven audio codec system that involves producing multiple compressed streams comprising encoded information (e.g., codeword indices) at different time scales (time intervals or frequency). This may allow for separation of different properties of speech, such as content and aspects of style (prosody), into the different compressed streams without explicitly enforcing it, i.e., in an unsupervised manner. Speech audio is encoded to produce a plurality of encoded streams comprising encoded information for the speech audio at different time scales. The plurality of encoded streams are decoded to generate output audio.

Abstract: Presented herein are techniques in which a device detecting a phrase spoken in an online collaboration session between a plurality of users, the phrase being spoken by a first user to one or more second users. The device determines that the phrase indicates an issue with a quality of user experience of the online collaboration session, labels a log of metrics associated with the online collaboration session with a time stamp corresponding to a time when the phrase was spoken; and performs one or more actions to improve the user experience based on detecting the phrase.

Abstract: The disclosure described herein provides for enzymatically stable and potent GLP-1 analogs (i.e., derivatives) for the treatment of metabolic disease or disorder in a subject. In some embodiments, the GLP-1 analog is a derivatized GLP-1 peptide, wherein the derivatized peptide has 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10 amino acid differences from any one of GLP-1, GLP-1(7-39), GLP-1(7-36), GLP-1(7-37). In certain embodiments, the GLP-1 analog comprises at least one lysine substituent. The GLP-1 analogs described herein demonstrate potent receptor binding and extended plasma half-life. A pharmaceutical composition of the GLP-1 analogs is described herein for the treatment of metabolic disease or disorder in a subject, such as diabetes or obesity.

Abstract: Presented herein are techniques in which a device detecting a phrase spoken in an online collaboration session between a plurality of users, the phrase being spoken by a first user to one or more second users. The device determines that the phrase indicates an issue with a quality of user experience of the online collaboration session, labels a log of metrics associated with the online collaboration session with a time stamp corresponding to a time when the phrase was spoken, to provide a labeled log of metrics; and performs one or more actions to improve the user experience based on detecting the phrase.

Abstract: Optical calculation method and system for relay protection based on Faraday magneto-optical rotation effect are provided. A cascaded optical computing approach is employed, where three optical current transformers are connected in series on a single optical path. Final output optical signal represented as a cascaded multiplication of outputs of three optical current transformers, carries a Faraday rotation angle containing differential current information. Differential current required for protection is computed by modulation ratio which is calculated by use of a carrier and modulation wave signals of the output optical signal detecting by filtering circuit from the third optical current transformer.

Abstract: Optical calculation method and system for relay protection based on Faraday magneto-optical rotation effect are provided. A cascaded optical computing approach is employed, where three optical current transformers are connected in series on a single optical path. Final output optical signal represented as a cascaded multiplication of outputs of three optical current transformers, carries a Faraday rotation angle containing differential current information. Differential current required for protection is computed by modulation ratio which is calculated by use of a carrier and modulation wave signals of the output optical signal detecting by filtering circuit from the third optical current transformer.

Abstract: The present invention discloses to a selective-laser-melting (SLM) printing defect detection and repair method and system based on a deep learning network and belongs to the technical field of additive manufacturing.

Abstract: A method for temperature control includes: acquiring the present temperature of a reaction window in a process chamber of a semiconductor machine; comparing the present temperature with the preset temperature to acquire a comparison result; and adjusting the exhaust amount of an exhaust passage of the process chamber based on the comparison result to control the temperature of the reaction window.

Abstract: The invention provides processes of purifying a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-251 described herein. The processes include a solvent exchange step before a freeze-drying (lyophilization) step.

Abstract: The present invention, belonging to the technical field of additive manufacturing, discloses a deep-learning-based SLM (Selective Laser Melting) online quality monitoring and repairing methods and a deep-learning-based SLM (Selective Laser Melting) online quality monitoring and repairing system. The deep-learning-based SLM (Selective Laser Melting) online quality monitoring method comprises: designing and printing a first defective part; collecting monitoring data of a molten pool of the first defective part in the printing process and performing pre-processing; acquiring defect information distribution of the first defective part and constructing a first data set; training a first convolution neural network model through the first data set; and carrying out online defect information identification on a to-be-tested part by using the trained first convolution neural network model.

Abstract: The invention provides processes of purifying a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-251 described herein. The processes include a solvent exchange step before a freeze-drying (lyophilization) step.

Abstract: An alternating current/direct current input device includes an appliance input socket and an information and communications technology (ICT) device. The ICT device is powered by the appliance input socket. The appliance input socket includes a ground contact, a positive electrode contact, a negative electrode contact, and a signal switch. A contact depth of the signal switch in the appliance input socket is less than a contact depth of the positive electrode contact or the negative electrode contact in the appliance input socket. The signal switch is configured to generate a control signal when a direct current connector is separated from the appliance input socket. The control signal can be used to enable the ICT device to disconnect the appliance input socket from a conductive electrode of the direct current connector after the ICT device enters a no load state.

Abstract: This application relates to the field of oil and gas devices, systems, and methods, and particularly relates to a packing leakage detection system and method. The packing leakage detection system includes a plunger pump, a pressure sensor and a control system, where the pressure sensor is configured to detect a pressure value inside a hydraulic end of the plunger pump, and send the detected pressure value to the control system; and the control system is configured to acquire the pressure value sent by the pressure sensor, and send prompt information according to the pressure value, where the prompt information includes at least one of alarm information and information for prompting shutdown and overhaul. This application is used for solving the problem that a leakage anomaly caused by a packing failure is not discovered in time.

Abstract: In one example embodiment, speech signals are received from a user during a communication session. The received speech signals contain noise including speech of other individuals. The received speech signals are transformed by a machine learning model to produce transformed speech signals corresponding to the received speech signals with a reduced amount of the noise. The machine learning model is trained with speech of the user satisfying a noise threshold and collected during one or more communication sessions.

Abstract: A schematic diagram of a wideband measurement system for mixed-connected CVT based on an optical voltage sensor is provided. The wideband measurement system comprises a CVT power frequency measurement section and an optical wideband measurement section. In the optical wideband measurement section, a low-voltage capacitor is connected in series between the low-voltage terminal and the ground terminal of the medium-voltage capacitor in the capacitor voltage divider. An optical voltage sensor is connected in parallel across the terminals of the low-voltage capacitor to measure the wideband voltage signal under test. The wideband measurement system for mixed-connected CVT described in the invention enables the CVT to have wideband measurement capabilities while ensuring the accuracy of conventional CVT power frequency measurements.

Abstract: 2-hydroxy-5-[2-(4-(trifluoromethylphenyl)ethylamino)]benzoic acid crystal forms and a preparation method therefor are proposed. Crystal form I is a monoclinic crystal system, which has a Pc space group and can be obtained by slow cooling, evaporating the solvent at a constant temperature, evaporating the solvent at an increased temperature, or adding an anti-solvent. Crystal form II is a triclinic crystal system, which has a P1 space group and can be obtained by rapid cooling or freeze-drying. According to the method, the process is simple, costs are low, and the yield exceeds 90%; and the crystal forms of the crystal forms I and II have high purity, the crystal shapes thereof are intact, and have excellent fluidity, facilitating preparation, particularly the preparation of a pharmaceutical preparation for preventing and/or treating degenerative diseases of the central nervous system. Furthermore, the two crystal forms have a better apparent solubility than that of raw materials.

Abstract: Provided are a bovine rotavirus fusion protein and calf diarrhea multivalent vaccine. The bovine rotavirus fusion protein contains a VP6 fragment, wherein the VP6 fragment contains an amino acid sequence as represented by SEQ ID NO. 4, and at least one loop region of the following (a)˜(c) is substituted with an antigenic epitope derived from bovine coronavirus and/or an antigenic epitope derived from E. coli: (a) amino acid residues of sites 168-177; with an amino acid sequence as represented by SEQ ID NO. 1; (b) amino acid residues of sites 194-205; with an amino acid sequence as represented by SEQ ID NO. 2; and (a) amino acid residues of sites 296-316, with an amino acid sequence as represented by SEQ ID NO. 3, The bovine rotavirus fusion protein contains a plurality of antigenic epitopes, and can enable a host to generate a plurality of antibodies after immunizing the host.

Abstract: Resource use orchestration for multiple application instances is described. In accordance with the described techniques, a time interval for accessing a resource is divided into multiple time slots. In one or more implementations, the resource is a graphics processing unit. Each of a plurality of containers associated with an application is assigned to one of the multiple time slots according to a disbursement algorithm. A respective signal offset is provided to each container based on an assigned time slot of the container. The provided signal offsets cause the plurality of containers to access the resource for the application in a predetermined order.

Abstract: In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Abstract: The present disclosure belongs to the technical field of power batteries, and in particular relates to a phase change composite and a preparation method and use thereof. The phase change composite includes the following components in parts by weight: 50 parts to 70 parts of a phase change material (PCM), 10 parts to 20 parts of a maleic anhydride graft, 1 part to 5 parts of a thermal conductivity enhancer, and 15 parts to 30 parts of a flame retardant; where the flame retardant includes melamine and triphenyl phosphate. The phase change composite has flame retardancy, high latent heat, and great thermal conductivity.