Abstract: The present disclosure provides a method for recycling urea-formaldehyde (UF) from a wood-based panel. In the present disclosure, the UF is depolymerized by an ultrasonic treatment, and depolymerized UF can be reused for UF manufacture and wood-based panel production. The recycled and treated UF can be repeatedly used in wood-based panel manufacture without affecting performances of the wood-based panel. UF-glued wood-based panels can be recycled, and a recycled wood-based panel raw material can replace at least 50% of a non-recycled wood-based raw material for particle board production without affecting performances of the wood-based panel.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: A method for predicting a day-ahead wind power of wind farms, comprising: constructing a raw data set based on a correlation between the to-be-predicted daily wind power, the numerical weather forecast meteorological feature and a historical daily wind power; obtaining a clustered data set and performing k-means clustering, obtaining a raw data set with cluster labels, and generating massive labeled scenes based on robust auxiliary classifier generative adversarial networks; determining the cluster label category of the to-be-predicted day based on the known historical daily wind power and numerical weather forecast meteorological feature, and screening out multiple scenes with high similarity to the to-be-predicted daily wind power based on the cluster label category; and obtaining the prediction results of the to-be-predicted daily wind power at a plurality of set times based on an average value, an upper limit value and a lower limit value of the to-be-predicted daily wind power.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: In a method for reconstruction of a feature in an environmental scene of a road, a 3D point cloud of the scene and a sequence of 2D images of the scene are generated. A portion of candidates of 3D points of the 3D point cloud is identified by projecting the 3D points to each of the 2D images, determining a plurality of candidates of the 3D points of the 3D point cloud representing the feature by semantic segmentation in each of the images, projecting the candidates of the 3D points on a plane of the road in each of the 2D images, and selecting those candidates of the 3D points staying in a projection range on the road in each of the 2D images. The selected candidates of the 3D points are merged for determining estimated locations of the feature. The feature can be modeled by generating a fitting curve along the estimated locations.

Abstract: A circuit for correlated double sampling is disclosed. In one aspect, the circuit comprises a reset switch connected with an input node, and with a first node of a first capacitor; a sampling switch connected with the input node, and with a first node of a second capacitor; a second node of the first/second capacitor is adapted to be connected with a first/second reference node, of which at least one using a reference switch; a first switch connected between the second node of the first capacitor and the first node of the second capacitor; a second switch connected between the first node of the first capacitor and the second node of the second capacitor.

Abstract: Compounds of Formula I and the pharmaceutically acceptable salts thereof are disclosed The variables X1, X2, and R1-4 are disclosed herein. The compounds are useful for treating cancer and related proliferative diseases. Pharmaceutical compositions containing compounds of Formula I and methods of treatment comprising administering compounds of Formula I are also disclosed.

Abstract: Compounds of Formula I and the pharmaceutically acceptable salts thereof are disclosed Formula I. The variables X1, X2, and R1-4 are disclosed herein. The compounds are useful for treating cancer and related proliferative diseases. Pharmaceutical compositions containing compounds of Formula I and methods of treatment comprising administering compounds of Formula I are also disclosed.

Abstract: A circuit for correlated double sampling is disclosed. In one aspect, the circuit comprises a reset switch connected with an input node, and with a first node of a first capacitor; a sampling switch connected with the input node, and with a first node of a second capacitor; a second node of the first/second capacitor is adapted to be connected with a first/second reference node, of which at least one using a reference switch; a first switch connected between the second node of the first capacitor and the first node of the second capacitor; a second switch connected between the first node of the first capacitor and the second node of the second capacitor.

Abstract: Compounds of Formula I and the pharmaceutically acceptable salts thereof are disclosed Formula I. The variables X1, X2, and R1-4 are disclosed herein. The compounds are useful for treating cancer and related proliferative diseases. Pharmaceutical compositions containing compounds of Formula I and methods of treatment comprising administering compounds of Formula I are also disclosed.

Abstract: A pixel for converting incident subatomic particles into an output voltage signal is disclosed. In one aspect, the pixel includes a photo-detector adapted to receive incident subatomic particles and generate an input voltage signal corresponding to an intensity of the received particles. The pixel also includes a passive amplifier adapted to passively amplify the input voltage signal to generate an output voltage signal. The passive amplification reduces the noise of the output voltage signal, and may have a higher quantum efficiency than typical in-pixel amplification devices and methods.

Abstract: A pixel for converting incident subatomic particles into an output voltage signal is disclosed. In one aspect, the pixel includes a photo-detector adapted to receive incident subatomic particles and generate an input voltage signal corresponding to an intensity of the received particles. The pixel also includes a passive amplifier adapted to passively amplify the input voltage signal to generate an output voltage signal. The passive amplification reduces the noise of the output voltage signal, and may have a higher quantum efficiency than typical in-pixel amplification devices and methods.

Abstract: Embodiments of the present invention provide a method and a device for processing location information of a fault point. The method includes: obtaining, by an ingress node of an LDP LSP, first location information of a fault point on a link traversed by the LDP LSP, where the first location information of the fault point includes an identifier of an upstream node of the fault point and an identifier of an interface that is connected to the fault point and located on the upstream node of the fault point; and providing the first location information of the fault point to a user so that the user determines a location of the fault point corresponding to an LDP LSP fault. Therefore, the location of the fault point corresponding to the LDP LSP fault can be determined, and efficiency of troubleshooting specific to the LDP LSP fault can be improved.

Abstract: Embodiments of the present invention provide a method and a device for processing location information of a fault point. The method includes: obtaining, by an ingress node of an LDP LSP, first location information of a fault point on a link traversed by the LDP LSP, where the first location information of the fault point includes an identifier of an upstream node of the fault point and an identifier of an interface that is connected to the fault point and located on the upstream node of the fault point; and providing the first location information of the fault point to a user so that the user determines a location of the fault point corresponding to an LDP LSP fault. Therefore, the location of the fault point corresponding to the LDP LSP fault can be determined, and efficiency of troubleshooting specific to the LDP LSP fault can be improved.

Abstract: The present invention discloses a lamp tube of a covered bulb, including a lamp body and a core column, with a filament and an exhaust pipe on the core column, characterized in that the exhaust pipe has a bent shape. The lamp tube of the covered bulb of the present invention can reduce the working temperature of the amalgam, and increase the difference between melting temperature and working temperature of the amalgam. Besides, it can also avoid the flow of the melted amalgam when the lamp is on for a long time. It is important that the lamp tube of the covered bulb for the invention can ensure that the amalgam is at the optimum working temperature, the saturated mercury vapor pressure reaches the optimum state, whereby the consistence of photo-electricity parameter will be considerably increased. It can increase the luminous flux maintaining rate for the whole lamp to prolong the service life of the lamp, because the lamp tube of the covered bulb of the invention is often placed downward during use.