Abstract: A fluid and power provision apparatus is provided. The apparatus includes a power provision device and a pump assembly. The pump assembly includes a motor, a transmission system, a piston assembly, and a collar assembly. The piston assembly includes a piston sleeve, a piston, and a piston arm operably coupled to the piston and the transmission system to transmit energy from the motor to articulate the piston within the piston sleeve. The collar assembly forms a collar plenum, a first flowpath, and a second flowpath. The piston sleeve extends at least in part into the collar plenum. The first flowpath extends in fluid communication from the collar plenum to a fluid supply outlet. The second flowpath extends in fluid communication from an interior of the apparatus to the first flowpath.

Abstract: The present invention provides an aripiprazole sustained-release microsphere and a preparation method therefor. The microsphere comprises aripiprazole and polylactide-glycolide. The microsphere is of a spherical reticular skeleton structure, with reticular micropores distributed in the spherical surface, and aripiprazole filled in the micropores. The average particle diameter of the microsphere is less than 20 ?m, and is suitable for a 5 gauge needle. The content of aripiprazole is 65%-80% of the total weight of the microsphere.

Abstract: The present disclosure provides a chip packaging method and a chip packaging structure. The chip packaging method includes: providing an encapsulated grain and a packaging substrate, the encapsulated grain including a first hybrid bonding structure; wherein the packaging substrate includes a front side and a back side opposite to each other; a second hybrid bonding structure is formed on the front side of the packaging substrate and a connection pin is formed on the back side of the packing substrate; the second hybrid bonding structure and the connection pin are electrically connected through a third connecting metal column penetrating the packaging substrate; and bonding together the first hybrid bonding structure of the encapsulated grain and the second hybrid bonding structure of the packaging substrate by medium-to-medium and metal-to-metal aligned bonding such that the encapsulated grain is bonded to the packaging substrate.

Abstract: There is provided a display substrate, including: a base; light-emitting units on a side of the base; a flat light-shielding functional layer, including a black matrix and a first planarization layer, on a side of the light-emitting units away from the base, light outgoing openings being provided in the black matrix and being in one-to-one correspondence with the light-emitting units, and the first planarization layer at least filling the light outgoing openings; and a color filter layer, including color filter patterns in one-to-one correspondence with the light outgoing openings, on a side of the flat light-shielding functional layer away from the base, an orthographic projection of each color filter pattern on the base covering an orthographic projection of the light outgoing opening corresponding to the color filter pattern on the base. A method for manufacturing a display substrate, a display panel and a display apparatus are further provided.

Abstract: Disclosed is a flame-retardant HIPS material and a preparation method thereof, comprising the following components: 90 parts to 67 parts of a HIPS resin; 8 parts to 15 parts of a brominated flame retardant; and 3 parts to 7 parts of an auxiliary flame retardant; wherein the auxiliary flame retardant is a 1,3,5-triazine compound. In the present invention, a synergistic compounding of the brominated flame retardant and the auxiliary flame retardant effectively reduces an amount of the brominated flame retardant, and a stable UL 94 (1.5 mm) V-0 flame-retardant class can be achieved. Compared with the existing brominated flame-retardant HIPS, the present invention has a low halogen content, low gas, and high cost performance ratio, which avoids excessive acid gas from forming air lines on the surface of parts, has a good appearance.

Abstract: Embodiments of the present application relate to the technical field of batteries, and provide a water cooling assembly, a battery pack, and a device in order to solve the technical problem of low cooling efficiency of a cooling assembly of a battery pack. The water cooling assembly is configured to cool a cell, and includes: a body portion having a cooling channel for receiving a coolant; a first connecting portion connected to the body portion and having a communication cavity for introducing or draining the coolant; and a second connecting portion arranged between the body portion and the first connecting portion and having an inner cavity for communicating the cooling channel with the communication cavity. An end face of the inner cavity close to the cooling channel has a cross-sectional area greater than that of an end face of the communication cavity close to the inner cavity.

Abstract: A rotary joint includes a shaft having a first end, a second end, and a cavity. The rotary joint includes a first waveguide section having a first proximal end and a first distal end. The first proximal end of the first waveguide section is positioned within the cavity and secured to the inner surface of the shaft. The rotary joint includes a second waveguide section that includes a second proximal end and a second distal end. The second proximal end of the second waveguide section is positioned within the cavity of the shaft and unsecured to the inner surface of the shaft to form a radial gap between an outer surface of the second proximal end and a laterally adjacent portion of the inner surface of the shaft. The shaft and the first waveguide section are configured to rotate about the rotational axis and relative to the second waveguide section.

Abstract: Anomalous activities on a computer network are detected from audit or sign-in activity information of a target entity as recorded in an audit or sign-in log. A baseline graph of the target entity is generated using information on activities of the target entity during a collection period. A predict graph of the target entity is generated with information on activities of the target entity during another collection period, which follows and is shorter than the earlier collection period. A residual graph that indicates nodes or edges that are in the predict graph but not in the baseline graph is generated. The residual graph is scored and the score is compared to a threshold to determine whether the target entity has performed an anomalous activity.

Abstract: Two sets of data, each containing property listings, are obtained from two discrete merchant platforms. Each property listing in a set of data of a first merchant is sequentially paired with each of the property listings in a set of data of a second merchant. For each pair, each image of the property listing of the first merchant is compared to each image of the property listing of the second merchant, and images of statistically sufficient similarity are identified. The similarity of images, and in particular, of similar images likely to be rooms of the property, are considered in a determination of whether the product listings of the first and second merchant are for the same cross-listed product.

Abstract: Two sets of data, each containing property listings, are obtained from two discrete merchant platforms. Each property listing in a set of data of a first merchant is sequentially paired with each of the property listings in a set of data of a second merchant. For each pair, each image of the property listing of the first merchant is compared to each image of the property listing of the second merchant, and images of statistically sufficient similarity are identified. The similarity of images, and in particular, of similar images likely to be rooms of the property, are considered in a determination of whether the product listings of the first and second merchant are for the same cross-listed product.

Abstract: A charge method for a battery, a storage medium, and a terminal are provided and include: acquiring a discharge current of the battery when the battery is in a charge state; determining whether the discharge current is smaller than a predetermined current threshold value; if yes, determining whether the discharge current is in a stable state within a predetermined time period; and selecting a target voltage from a plurality of sample voltages in a predetermined voltage set according to a result of the stable state, adopting the target voltage as a charge voltage to charge the battery, and continuing to perform the determining whether the discharge current is smaller than the predetermined current threshold value.

Abstract: A silicon carbide diode having a high surge current capability, and including a semiconductor base plate. The semiconductor base plate includes an N-type silicon carbide substrate and an N-type silicon carbide epitaxial layer located on the N-type silicon carbide substrate. The upper portion of the N-type silicon carbide epitaxial layer is provided with a plurality of P-type well regions. The N-type high resistance region is provided under the P-type well region or on the lower surface of the P-type well region. The resistivity of the N-type high resistance region is greater than the resistivity of the N-type silicon carbide epitaxial layer. The N-type high resistance region is provided under the P-type well region, and a plurality of grooves are provided in the P-type well region or a plurality of block-shaped P-type regions uniformly arranged at intervals are provided in the N-type high resistance region.

Abstract: Systems and methods are provided for extracting a plurality of features for a listing from a datastore comprising a plurality of listings and a plurality of features for each of the plurality of listings, determining a cluster of similar listings to the listing and generating a set of cluster features for the cluster of similar listings, analyzing the set of cluster features for the cluster of similar listings based on a booking price, using a first trained machine learning model to determine a cluster-level probability of booking the listing on the given date, analyzing the plurality of features for the listing using the booking price, using a second trained machine learning model to determine a listing-level probability of booking the listing on the given date, and generating a final probability of booking by combining the cluster-level probability of booking and the listing-level probability of booking.

Abstract: A silicon carbide diode having a high surge current capability, and including a semiconductor base plate. The semiconductor base plate includes an N-type silicon carbide substrate and an N-type silicon carbide epitaxial layer located on the N-type silicon carbide substrate. The upper portion of the N-type silicon carbide epitaxial layer is provided with a plurality of P-type well regions. The N-type high resistance region is provided under the P-type well region or on the lower surface of the P-type well region. The resistivity of the N-type high resistance region is greater than the resistivity of the N-type silicon carbide epitaxial layer. The N-type high resistance region is provided under the P-type well region, and a plurality of grooves are provided in the P-type well region or a plurality of block-shaped P-type regions uniformly arranged at intervals are provided in the N-type high resistance region.

Abstract: The present invention provides a method for 3D waveform mapping of full-parallel structure, first, a 3D waveform mapping database is created according to the size of a 3D waveform image, the number of bits of probability value and the ADC's resolution of data acquisition module, then the 3D waveform mapping database is divided into Mt×Ma independent mapping storage areas along the time axis and the amplitude axis, and each independent mapping storage area is assigned a RAM, then RAMs are selected and addresses are calculated based on the sampling values and the structure of created 3D waveform mapping database, finally, parallel mappings are performed simultaneously on the time axis and the amplitude axis according to the selected RAMs and calculated addresses. Thus, the mapping time are shorten, especially in vector mapping mode, several RAMs are used for mapping, so the WCR of DSO is improved.

Abstract: Systems and methods are provided for extracting a plurality of features for a listing from a datastore comprising a plurality of listings and a plurality of features for each of the plurality of listings, determining a cluster of similar listings to the listing and generating a set of cluster features for the cluster of similar listings, analyzing the set of cluster features for the cluster of similar listings based on a booking price, using a first trained machine learning model to determine a cluster-level probability of booking the listing on the given date, analyzing the plurality of features for the listing using the booking price, using a second trained machine learning model to determine a listing-level probability of booking the listing on the given date, and generating a final probability of booking by combining the cluster-level probability of booking and the listing-level probability of booking.

Abstract: A method for navigating an automated guided vehicle is provided. The method includes: generating an environment map for an automated guided vehicle and setting a target position, wherein the environment map at least includes an open region and a barrier region; generating a first navigation path on the environment map according to the target position; optimizing the first navigation path by using a dichotomy method to generate a second navigation path; orthogonalizing the second navigation path to generate a third navigation path, wherein every two adjacent line segments in the third navigation path are orthogonal to each other; and navigating the automated guided vehicle to the target position using the third navigation path. The method for navigating the automated guided vehicle according to the invention optimizes navigation paths.

Abstract: A method for oscilloscope 3D mapping in scan mode. The input signal is acquired using a real-time sampling rate which is Dr times higher, thus more sampling points, i.e. Dr acquired data can be obtained during the time interval between two consecutive horizontal pixels. The Dr acquired data are mapped into a same column of the screen to implement fluorescent waveform display. In addition, to realize the scanning display, a flag X is introduced into the three-dimensional database, when the screen refresh signal arrives, the first Ds acquired data are read out from the unread acquired data in FIFO memory. The three-dimensional database is updated from the flag X, which make the leftmost waveform always be the oldest waveform, the rightmost waveform always be the newest waveform. Thus the 3D mapping is realized in scan mode, letting the DSO have a fluorescent waveform display at slow time-base.

Abstract: This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.

Abstract: This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.