Abstract: Embodiments of the present disclosure disclose a method and an apparatus for restoring a NETCONF server to factory defaults, and relate to the field of configuration management technologies. A NETCONF server receives a command for restoring to factory defaults sent by a NETCONF client, where the command for restoring to factory defaults is a remote procedure call (RPC) command that is based on a Yang model of the NETCONF for restoring the NETCONF server to the factory defaults. The NETCONF server replaces data in the running configuration datastore with factory defaults of the NETCONF server according to the command for restoring to factory defaults.

Abstract: Implementations of the present disclosure discloses user identity verification method selection method and device. In an implementation, times and corresponding verification methods of successful user identity verifications are recorded, one or more verification methods of successful user identity verifications performed in a predetermined time period based on the recorded times and corresponding verification methods are identified. Whether at least one verification method is included in both the identified one or more verification methods of successful user identity verifications and a list of available verification methods are determined. One or more available verification methods different from the identified one or more verification methods are used for user identity verification if no verification method is included in both the identified one or more verification methods of successful user identity verifications and the list of available verification methods.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for restoring a network device to factory defaults, and a network device, and relate to the field of configuration management technologies. A NETCONF server determines that the network device needs to be restored to the factory defaults; the NETCONF server replaces data in a startup configuration datastore and a running configuration datastore in the NETCONF server with factory defaults data in a factory defaults datastore, where the factory defaults datastore is dedicated to storing the factory defaults data of the network device. The NETCONF server delivers the data in the running configuration datastore after replacement to a plurality of service modules. Then, the plurality of service modules performs a validation operation based on the data delivered by the NETCONF server.

Abstract: A high dynamic range image sensors enabled by integrating broadband optical filters with individual sensor pixels of a pixel array. The broadband optical filters are formed of engineered micro or nanostructures that exhibit large differences in transmittance, e.g. up to 5 to 7 orders of magnitude. Such high transmittance difference can be achieved by using a single layer of individually designed filters, which show varied transmittance as a result of the distinct absorption of various material and structures. The high transmittance difference can also be achieved by controlling the polarization of light and using polarization-sensitive structures as filters. With the presence of properly designed integrated nanostructures, broadband transmission spectrum with transmittance spanning several orders of magnitude can be achieved. This enables design and manufacturing of image sensors with high dynamic range which is crucial for applications including autonomous driving and surveillance.

Abstract: User data from a received service processing request initiated by a user for processing a service is parsed. Whether the user data is included in a trusted user list or a risky user list stored in a server for processing the service is determined. Whether the user data matches historical behavior data associated with the user based on a behavioral profile comparison rule model if the user data is not included in the trusted user list or the risky user list is determined. A risk type associated with the user data is determined if the user data fails to match the historical behavior data. A risk identification rule model associated with the risk type is determined based on the service requested. Risk identification is performed based on the user data using the determined risk identification rule model. The service is processed by the server based on a result of the risk identification.

Abstract: A spectral sensing system includes an array of sampling optical elements (e.g. filters) and an array of optical sensors, and a deep learning model used to process output of the optical sensor array. The deep learning model is trained using a training dataset which includes, as training inputs, optical sensor output generated by shining each one of multiple different light waves with known spectra on the sampling optical element array for multiple different times, each time from a known angle of incidence, and as training labels, the known spectra of the multiple light waves. The trained deep learning model can be used to process output of the optical sensor array when light having an unknown spectrum is input on the sampling optical element array from unknown angles, to measure the spectrum of the light. The spectral sensing system can also be used to form a hyperspectral imaging system.

Abstract: The present disclosure provides information on the methodology used in the fabrication of three-dimensional cellularized tissue constructs from free-standing evacuable 3D printed composites and/or scaffolds embedded in an extracellular matrix mimic generated from biocompatible materials. The purposes of using these composite and/or scaffold materials is to generate complex embedded lumens that allow for complete perfusion of the matrix construct by standard cell culture media, thereby allowing for maintenance of large-scale 3D cell cultures in specific geometric forms. The use of biological extracellular matrix materials is to provide essential biological and mechanical signals needed to regulate the behavior of encapsulated cells. Furthermore, the methodology can be adapted such that the lumens generated are capable of being seeded with various endothelial and epithelial cell types as desired, thereby allowing for mimicry of in vivo vasculature, intestinal tracts, and other lumen-containing constructs.

Abstract: A spectral sensing system includes an array of sampling optical elements (e.g. filters) and an array of optical sensors, and a deep learning model used to process output of the optical sensor array. The deep learning model is trained using a training dataset which includes, as training inputs, optical sensor output generated by shining each one of multiple different light waves with known spectra on the sampling optical element array for multiple different times, each time from a known angle of incidence, and as training labels, the known spectra of the multiple light waves. The trained deep learning model can be used to process output of the optical sensor array when light having an unknown spectrum is input on the sampling optical element array from unknown angles, to measure the spectrum of the light. The spectral sensing system can also be used to form a hyperspectral imaging system.

Abstract: The invention relates to a diaryl thioether piperazine compound, a preparation method and use thereof. Specifically, the compound is a compound of Formula (I), wherein HX is C10-20 fatty acid or pamoic acid.

Abstract: A method for creating branch fractures in an oil well, including: injecting a first pad fluid containing a first absorbent resin to a first position of the main fracture; injecting a second pad fluid containing a second absorbent resin to a second position of the main fracture; after the second absorbent resin absorbs water and expands to form a first plugging layer, injecting a third pad fluid free of absorbent resin to the main fracture to build up a pressure at the first plugging layer; exerting the pressure to sides of the main fracture to form a first branch fracture; breaking the first plugging layer to generate a fragment; bridging the fragment to the first absorbent resin to form a second plugging layer; and injecting a third pad fluid to build up a pressure to form a second branch fracture at the first position.

Abstract: A high dynamic range image sensors enabled by integrating broadband optical filters with individual sensor pixels of a pixel array. The broadband optical filters are formed of engineered micro or nanostructures that exhibit large differences in transmittance, e.g. up to 5 to 7 orders of magnitude. Such high transmittance difference can be achieved by using a single layer of individually designed filters, which show varied transmittance as a result of the distinct absorption of various material and structures. The high transmittance difference can also be achieved by controlling the polarization of light and using polarization-sensitive structures as filters. With the presence of properly designed integrated nanostructures, broadband transmission spectrum with transmittance spanning several orders of magnitude can be achieved. This enables design and manufacturing of image sensors with high dynamic range which is crucial for applications including autonomous driving and surveillance.

Abstract: A power tool having one or more sound damping members which reduce sound and/or vibration from one or more parts of a power tool. The sound damping member can reduce sound and/or vibration from static or dynamic parts of a power tool. The sound damping member can reduce noise and/or vibration from one or more rotating or moving parts of a power tool and its housing or internal structure. Methods, means, controls, systems and practices for reducing or eliminating undesired sound from a power tool are disclosed.

Abstract: Optical sensing devices employing light intensity detectors integrated with nanostructures. In some embodiments, the nanostructures are 3D nanostructures having feature sizes in all three dimensions comparable to a wavelength range of the incident light, and are used for hyperspectral sensing. In some other embodiments, the nanostructures are simultaneous sensitive to both the spectrum and one or more of polarization, angle and phase information of the incident light field, to provide multi-modal optical sensing devices. In some other embodiments, each spatial pixel of an image sensor includes a group of sampling pixels configured for hyperspectral sensing and another group of sampling pixels configured for sensing polarization, angle or phase of the incident light.

Abstract: A power tool having one or more sound damping members which reduce sound and/or vibration from one or more parts of a power tool. The sound damping member can reduce sound and/or vibration from static or dynamic parts of a power tool. The sound damping member can reduce noise and/or vibration from one or more rotating or moving parts of a power tool and its housing or internal structure. Methods, means, controls, systems and practices for reducing or eliminating undesired sound from a power tool are disclosed.

Abstract: Implementations of the present disclosure discloses user identity verification method selection method and device. In an implementation, times and corresponding verification methods of successful user identity verifications are recorded, one or more verification methods of successful user identity verifications performed in a predetermined time period based on the recorded times and corresponding verification methods are identified. Whether at least one verification method is included in both the identified one or more verification methods of successful user identity verifications and a list of available verification methods are determined. One or more available verification methods different from the identified one or more verification methods are used for user identity verification if no verification method is included in both the identified one or more verification methods of successful user identity verifications and the list of available verification methods.

Abstract: A method for creating a branch fracture with temporary plugging and pressure buildup using super absorbent resin, comprising: setting a fracturing packer to fracture a target layer by pad fluid to form a main fracture; injecting into the main fracture pad fluid mixed with salt-intolerant super absorbent resin and performing replacement till depth of the main fracture, and then injecting pad fluid mixed with strong salt-tolerant super absorbent resin; after the strong salt-tolerant super absorbent resin absorbs water and expands to form a temporary plugging layer, re-injecting the pad fluid to create a branch fracture with pressure buildup; and lifting injection pressure to break up the temporary plugging layer formed by the strong salt-tolerant super absorbent resin to form residue, transporting the residue to the depth of the main fracture to bridge the temporary plugging layer formed, and re-building up pressure to create a branch fracture.

Abstract: The present disclosure disclose a configuration management method and apparatus, and a device. A control device determines that an application message needs to be published to a target logical group. The control device obtains an identifier of the target logical group and queries, according to a gateway mapping table and the identifier of the target logical group, a gateway connected to each of the at least one target terminal, to obtain at least one target gateway.

Abstract: User data from a received service processing request initiated by a user for processing a service is parsed. Whether the user data is included in a trusted user list or a risky user list stored in a server for processing the service is determined, Whether the user data matches historical behavior data associated with the user based on a behavioral profile comparison rule model if the user data is not included in the trusted user list or the risky user list is determined. A risk type associated with the user data is determined if the user data fails to match the historical behavior data. A risk identification rule model associated with the risk type is determined based on the service requested. Risk identification is performed based on the user data using the determined risk identification rule model. The service is processed by the server based on a result of the risk identification.

Abstract: Implementations of the present disclosure discloses user identity verification method selection method and device. In an implementation, times and corresponding verification methods of successful user identity verifications are recorded, one or more verification methods of successful user identity verifications performed in a predetermined time period based on the recorded times and corresponding verification methods are identified. Whether at least one verification method is included in both the identified one or more verification methods of successful user identity verifications and a list of available verification methods are determined. One or more available verification methods different from the identified one or more verification methods are used for user identity verification if no verification method is included in both the identified one or more verification methods of successful user identity verifications and the list of available verification methods.