Abstract: Provided herein are methods of treating a dysmyelinating/demyelinating disease or condition in a patient in need thereof. The methods comprise restoring Qki-PPAR?-RXR?-dependent lipid metabolism in myelin. For example, the methods comprise administering a PPAR? agonist or an RXR agonist to the patient.

Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth.

Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth.

Abstract: A computer-implemented method is presented for selecting a preferred live agent from a plurality of live agents. The method includes constructing, via the processor, a human expertise matrix pertaining to each of the plurality of live agents by determining an average net promoter score (NPS) for each of the plurality of live agents for each category of a plurality of categories, and in response to a voice call by a user, determining, via the processor, a predicted human expertise on average by collectively assessing the human expertise matrix, a predicted NPS derived from a first deep neural network, and a predicted category derived from a second deep neural network. The method further includes, based on the predicted human expertise on average determined, triggering communication via the live agent communication network between the user and the preferred live agent to initiate a conversation between the user and the preferred live agent.

Abstract: A motion data processing method and a motion monitoring system provided in the present disclosure may process an electromyography (EMG) signal in the frequency domain or time domain to identify an abnormal signal in the EMG signal, such as an abrupt signal, a missing signal, a saturation signal, an oscillation signal, etc. caused by a high-pass filtering algorithm. The motion data processing method and the motion monitoring system may further perform a data sampling operation on the EMG signal through a data sampling algorithm, and predict data corresponding to the time point when the abnormal signal appears based on the sampling data, so as to obtain prediction data, and replace the abnormal signal by using the prediction data to correct the abnormal signal.

Abstract: A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.

Abstract: An anti-surge floating body, a seawater temperature measuring device and an integrated measuring system are provided. The floating material of the anti-surge floating body is in form of a closed loop, the floating material includes a first side close to a central axis of the floating material and a second side away from the central axis, and the wave-proof plate is connected with the second side of the floating material. The hollow space formed by the end-to-end connection of the floating material facilitates normal reception of solar radiation by the seawater, and avoids the influence on the temperature or other seawater parameters of the seawater below the floating material resulting from the floating material blocking solar radiation; moreover, the wave-proof plate can reduce the undulation and heaving of the waves of the seawater, and prevent turbulences of the seawater from affecting the seawater temperature or other seawater parameters.

Abstract: A refrigerator is provided. The refrigerator includes a first fresh-preservation chamber, one or more adsorption towers, a valve, and an air pump. An air inlet of the air pump is in communication with the first fresh-preservation chamber, an air outlet of the air pump is in communication with an air inlet of each of the one or more adsorption towers through an air inlet channel of the valve, and the air inlet of each of the one or more adsorption towers is in communication with the first fresh-preservation chamber through an air outlet channel of the valve.

Abstract: Techniques for topology based interoperability determination for an information technology (IT) infrastructure are described herein. An aspect includes receiving a replacement notification for an element of an IT infrastructure. A topology subgraph corresponding to the element is generated based on a topology graph of the IT infrastructure. A plurality of replacement candidates for the element is determined. A respective interoperability subgraph based on the topology subgraph is generated for each replacement candidate of the plurality of replacement candidates. A recommended replacement candidate is selected from the plurality of replacement candidates based on the generated interoperability subgraphs.

Abstract: A device includes an electro-mechanical switching device having an open-circuit and closed-circuit conditions and a path of least resistance having a path input and a path output with the switching device between the input and the output. The device includes a bypass power switch device that comprises a solid-state circuit interrupter and that is configured to conduct current between the input and the output in response to an open-circuit condition of the switching device. The device includes a current sensor that is connected to the output and configured to detect a fault current event. The device includes an actuator that is coupled to the switching device and a controller that is configured to generate a trigger signal to activate the actuator to cause the open-circuit condition of the switching device and to interrupt the fault current event by the power switch device, based on the detected fault current event.

Abstract: The present invention discloses a primer set of LAMP-LFD detection for detecting a leaf curl virus of Melia azedaeach L. and a detection method, and belongs to the field of detection of crop diseases. The primer set of LAMP-LFD visual detection includes five primers: CLSV-F3, CLSV-B3, CLSV-FIP, CLSV-BIP and CLSV-LB and one probe primer: CLSV-Pb. The present invention also provides a visual detection method for a leaf curl virus of Melia azedaeach L., which is a combination of a loop-mediated isothermal amplification method and a lateral flow dipstick to establish an LAMP-LFD method to detect CLSV, so that the results of LAMP amplification detection are more obvious and intuitive. The present invention has the characteristics of high specificity, high sensitivity and simple operation, and is suitable for substrate and field use.

Abstract: A method is disclosed for multi-user multiple-input multiple-output (MU-MIMO) operation of an access node serving a plurality of user devices. The method comprises acquiring a speed category for a user device of the plurality of user devices and controlling the MU-MIMO operation in relation to the user device based on the speed category. In some embodiments, controlling the MU-MIMO operation in relation to the user device based on the speed category comprises one or more of: controlling reference signal transmission for the user device based on the speed category and controlling MU-MIMO group affiliation of the user device based on the speed category. In some embodiments, controlling reference signal transmission for the user device based on the speed category comprises controlling a duration of a time interval between subsequent reference signal transmissions for the user device based on the speed category. Corresponding apparatus and network node are also disclosed.

Abstract: Embodiments of the present disclosure relate to methods for updating an autonomous driving system, autonomous driving systems, and on-board apparatuses. In the embodiments of the present disclosure, the autonomous driving system, in a manual driving mode, senses the surrounding environment of a vehicle, performs vehicle positioning, and generates an autonomous control instruction for an underlying vehicle execution system. However, the autonomous driving system does not issue an instruction to control the driving of the vehicle. Instead, it compares the instruction with a control instruction from the driver of the vehicle for the underlying vehicle execution system in the manual driving mode to update a planning and control algorithm of the autonomous driving system. As such, the updated autonomous driving system better caters to the driving habits of the driver and improves the driving experience for the driver without compromising the reliability of planning and decision-making of autonomous driving.

Abstract: The disclosure relates to a device and a circuit for protecting controlled loads, and an apparatus for switching between the loads.

Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth.

Abstract: A method of enhancing a layout pattern includes determining a vector transmission cross coefficient (vector-TCC) operator of an optical system of a lithographic system based on an illumination source of the optical system and an exit pupil of the optical system of the lithographic system. The method also includes performing an optical proximity correction (OPC) operation of a layout pattern of a photo mask to generate an OPC corrected layout pattern. The OPC operation uses the vector-TCC operator to determine a projected pattern of the layout pattern of the photo mask on a wafer. The method includes producing the OPC corrected layout pattern on a mask blank to create a photo mask.