Abstract: Provided are a management board, an interface module, an industrial control server, and an industrial control system. The management board includes: a first interface signal control unit and a second interface signal control unit. The second interface signal control unit is configured to acquire an operating state of the first interface signal control unit; and an interface unit provided with at least one interface, and a gating unit, wherein one gating end of the gating unit is connected to the first interface signal control unit and the interface unit to form a first interface path, and the other gating end of the gating unit is connected to the second interface signal control unit and the interface unit to form a second interface path. The second interface signal control unit is configured to select the first interface path or the second interface path according to the operating state.

Abstract: A system and method for providing and managing a remote patient monitoring (RPM) system. The method is implemented by a central server, an RPM client, and a networked monitoring device. The RPM client is a software program that is executed by a computing device that is connected to the server via a network. The networked monitoring device is implemented as a locator or a smart mobile cart. More specifically, the RPM system can provide a tele-monitor with the ability to remotely monitor multiple patients, control remote cameras, and address abnormal patient situations. The RPM system can enhance tele-monitor effectiveness by detecting patient motion and tracking tele-monitor alertness.

Abstract: A mouthpiece structure includes: a mouthpiece body having an outer cylinder and an inner cylinder extending from a top end of the outer cylinder into an inner cavity of the outer cylinder; and a connector arranged in the inner cavity of the outer cylinder, the connector and the inner cylinder being arranged in an axial direction of the outer cylinder, the connector being sleeved outside a vent tube. The inner cylinder has an air guide hole and a plug hole that are in communication with each other, the plug hole being plug-fitted with a top end of the vent tube. The air guide hole docks with a top end of the vent tube to guide an airflow out of the vent tube. The connector is configured to snap with the vent tube. The connector is snapped with the outer cylinder.

Abstract: An active fault tolerance and fault mitigation system based on steer-by-wire dual motors and a mode switching control method thereof are provided. The system includes an acquisition unit, a steering wheel assembly, an ECU control module, a front wheel steering assembly, and a fault tolerance controller (18) which are sequentially connected. The acquisition unit transmits an acquired vehicle signal to the ECU control module, and then a corresponding compensation strategy is selected by means of a fault tolerance control strategy unit, a yaw rate calculation unit, a stability control unit, and a dual-motor compensation unit to act on a rack and pinion mechanism (15). The system and method can perform switching in an active fault tolerance and fault mitigation mode to achieve optimal control of the real-time performance of a vehicle, thereby ensuring the driving performance and higher performance of the vehicle in a field fault condition.

Abstract: Disclosed are a separator for an electrochemical device, comprising a porous base membrane, a coating layer disposed on at least one side of the porous base membrane and at least one channel for ionic flow, wherein the coating layer comprises at least one organic material with, for example, a core-shell structure that melts when the electrochemical device is overheated to a temperature that is higher than the melting point of the at least one organic material to block the at least one channel for ionic flow; as well as an electrochemical device comprising the separator and a method for making the separator.

Abstract: This application provides a display device and an audio output method thereof. The display device includes a display, a first speaker, and a second speaker. The first speaker is disposed on a rear side of the display. A sound emitting direction of the first speaker faces toward space in rear of and above the display device. A sound emitting direction of the second speaker faces toward space in front of the display device or faces toward space below the display device. The first speaker and the second speaker emit sounds asynchronously. A stereo effect of the display device in this application is good.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A lipid delivery system, a virus-like structure (VLS) vaccine constructed therefrom, and a lipid particle capable of encapsulating an mRNA molecule encoding a SARS-CoV-2-specific antigen are provided. After the lipid particle encapsulates an mRNA molecule encoding a SARS-CoV-2 antigen, a SARS-CoV-2 S1 antigen protein can be embedded on a surface of an envelope structure of the lipid under specific buffer conditions to produce a VLS vaccine with an antigen-encoding mRNA molecule encapsulated inside and an outer membrane presenting a required viral antigen protein. The vaccine has a superior specific antibody-inducing ability to a SARS-CoV-2 mRNA vaccine and a polypeptide vaccine, can maintain a long-lasting high antibody level, and can also exhibit excellent immune binding abilities for the emerging different variants.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: There is provided a method of tracking a characteristic line, a method and apparatus of calculating core neutron physics, and a computer-readable storage medium. The method of tracking the characteristic line includes: determining, sequentially from the uppermost level to the lowest level, whether an intersection of the sub-model meeting a first preset condition in each of the plurality of levels and the characteristic line segment meets a second preset condition or not; and obtaining an intersection, that meets the second preset condition, of the sub-model meeting the first preset condition in the lowest level and the characteristic line, so as to obtain a segment correspondence between the characteristic line and the material of the core according to the intersection obtained.

Abstract: A system and method for providing and managing a remote patient monitoring (RPM) system. The method is implemented by a central server, an RPM client, and a networked monitoring device. The RPM client is a software program that is executed by a computing device that is connected to the server via a network. The networked monitoring device is implemented as a locator or a smart mobile cart. More specifically, the RPM system can provide a tele-monitor with the ability to remotely monitor multiple patients, control remote cameras, and address abnormal patient situations. The RPM system can enhance tele-monitor effectiveness by detecting patient motion and tracking tele-monitor alertness.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Abstract: A point-controlled LED light string and a manufacturing method thereof, the light string comprises a DC power supply controller integrated with a plurality of address registers; and LED lights each with a unique address code. The LED lights form a light string with an address code random method, according to a sequence in which the LED lights are connected and arranged in the light string, associating the LED lights one to one with the corresponding address registers, and each of the address registers stores a corresponding address code of a corresponding LED light. The method comprises the steps of selecting LED lights each with a unique address code by an address code random method randomly to form a light string, storing the address codes of the LED lights in address registers arranged in an orderly manner, and associating the address registers one to one with corresponding LED lights.

Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.