Abstract: The present disclosure discloses an image generation method. The method includes: obtaining density information by a target model corresponding to a target scene space; determining a first constraint condition based on the density information; determining a target viewpoint from the target scene space based on the first constraint condition; and rendering the viewpoint image corresponding to the target viewpoint by the target model. Where the target model is trained to output a viewpoint image corresponding to any viewpoint after inputting the any viewpoint in the target scene space, the density information is a rendering parameter required for image rendering by the target model, and the density information represents transparency of a point in the target scene space.

Abstract: The present invention provides a method for preparing 3D brain organoids, comprising the following steps: neurospheres obtained by the RONA method are dissociated into single cells by accutase, plated on a cell culture plate after being counted, cultured in medium A until day 7; neurospheres are cultured in medium B until day 25˜35, and then they are encapsulated by Matrigel; neurospheres are further cultured in media B until day 55˜65, and then they are encapsulated by Matrigel for the second time and cultured continually afterwards. The present invention also provides a medium for culturing 3D brain organoids. The present invention begins with highly purified neurospheres obtained by the RONA method, and neuronal stem cells can be controlled and cultured to achieve true 3D brain organoids with uniform size and structure by this relatively simple method.

Abstract: Systems and methods for smoothing a resistivity log are disclosed. An azimuthal resistivity tool measures azimuthal impedances at multiple azimuthal angles around a wellbore axis at each depth. It is determined whether the drill string was in a drilling mode or a sliding mode at the depth. If the drill string was in the drilling mode, a co-axial component and a lateral component are determined based in part on the azimuthal impedances associated with the depth and the lateral component is stored. If the drill string was in the sliding mode, a second co-axial component is determined based in part on at least one of the plurality of azimuthal impedances and a previously stored lateral component. The resistivity log is plotted from resistivities determined from the first and second co-axial components at each depth.

Abstract: The disclosure discloses a method, an apparatus and a robot for out-of-stock detection of shelf commodity. The method includes: acquiring a plurality of shelf RGB images and a plurality of shelf depth images; executing an out-of-stock area detection step to obtain all vacant areas in the shelf for shelf RGB images and shelf depth images; stitching the shelf RGB images into a complete shelf image, merging and de-duplicating on all vacant areas and detection boxes of commodities, shelf label and layer lattice, and mapping them to the complete shelf image; generating a shed grid area corresponding to each commodity for the complete shelf image, and dividing all vacant areas in the shelf based on the shed grid area; and determining an out-of-stock detection result of each commodity based on the position information and the depth information of the vacant area and the shed grid area.

Abstract: The present disclosure provides a medium and a method for inducing differentiation into functional cerebral cortical cells, wherein the medium comprises a neural medium and a nutritional supplement and the nutritional supplement is selected from a group consisting of SU5402, BIBF1120, IBMX and glucose. The method describes that specific factors such as an inhibitor of FGF signaling pathway, an inhibitor of VEGF signaling pathway and/or an activator of cAMP are added at specific time points during the induced differentiation process to accelerate the differentiation and maturation of the neural cells. Said method can produce stable and healthy neural cells with major functions at about 7 to 14 days after the initiation of the induced differentiation starting from human neural progenitor cells, with reduced manufacturing cost and shortened production time.

Abstract: Methods and systems disclosed herein for parsing and identifying unindexed parameters and other information (e.g., a token contract address) may appear encoded in event data. Specifically, the system may retrieve bytecode for an identified blockchain operation (e.g., a transaction). The system may then segregate the bytecode into constructor arguments, code sections, and/or metadata. The system may then parse the segregated portions of bytecode for bytecode representations that are based on function signatures, event signatures, token standards, and/or contract addresses.

Abstract: A method for determining camera attitude includes: in response to a first input image satisfying a first condition, adjusting a camera from a first attitude to a second attitude, the first input image being an image obtained by the camera in the first attitude; obtaining a second input image, the second input image being an image obtained by the camera in the second attitude; determining second attitude data corresponding to the second attitude based on the second input image; and determining first attitude data corresponding to the first attitude according to a transformation relationship between the first attitude and the second attitude, and the second attitude data.

Abstract: An elastic block limiting mechanism includes: a base, a first elastic limiting assembly, a second elastic limiting assembly, a turntable and a bearing. The first elastic limiting assembly includes a first elastic member and a first elastic block. The second elastic limiting assembly includes a second elastic member and a second elastic block. The turntable includes a ring-shaped turntable body and a shifting lever. The bearing is mounted in a through hole and fixed to the base body, the turntable body being inserted into the bearing and forming a fixation to achieve a rotational connection with the base body. Compared with the related art, the elastic block limiting mechanism of the present disclosure has a simple structure, small space occupation, good stability, effective noise reduction, and high reliability.

Abstract: An elastic block limiting mechanism includes: a base, a first elastic limiting assembly, a second elastic limiting assembly, a turntable and a bearing. The first elastic limiting assembly includes a first elastic member and a first elastic block. The second elastic limiting assembly includes a second elastic member and a second elastic block. The turntable includes a ring-shaped turntable body and a shifting lever. The bearing is mounted in a through hole and fixed to the base body, the turntable body being inserted into the bearing and forming a fixation to achieve a rotational connection with the base body. Compared with the related art, the elastic block limiting mechanism of the present disclosure has a simple structure, small space occupation, good stability, effective noise reduction, and high reliability.

Abstract: A system and a method for evaluating a subterranean earth formation include a logging tool locatable in a wellbore dispose in the formation. The logging tool may include a transmitter antenna and a single receiver antenna. The transmitter antenna is configured to transmit a first electromagnetic signal into the subterranean earth formation. The system further includes a processor and a non-transitory memory device. The memory device includes instructions that cause the processor to control a current and a voltage sourced to the transmitter antenna, receive, via the single receiver antenna, a second electromagnetic signal emitted by the subterranean earth formation in response to receiving the first electromagnetic signal, and determine a resistivity of the subterranean earth formation based on the second electromagnetic signal.

Abstract: A method and/or system comprising: disposing a bottom hole assembly into a wellbore, wherein the bottom hole assembly comprises: a transmitter sub comprising a transmitter coil; a first receiver sub comprising a first receiver coil; transmitting an electromagnetic wave into a subterranean formation with the transmitter coil; receiving a plurality of response signals with the first receiver coil, wherein the plurality of response signals are from two or more depths and are formed from the electromagnetic wave interacting with the subterranean formation. Additionally, the method and/or system may be configured to analyze a gradient of the response signals to determine if the gradient exceeds a threshold, wherein the threshold indicates a presence of a fracture or fault.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for identifying a borehole correction factor for determining a true resistivity by selecting a model to apply in identifying the borehole correction factor and applying the model to an apparent resistivity to identify the borehole correction factor. To perform borehole correction, a multiplicative coefficient is needed to apply to the apparent resistivity. A database of this multiplicative coefficient, called the borehole correction factor, is generated based on the borehole correction model. The technology described herein allows operators to avoid time-consuming variable borehole diameter sweeps and complex borehole diameter inversion current used in resistivity logging software.

Abstract: Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

Abstract: Methods and systems for parsing and identifying unindexed parameters and other information (e.g., a token contract address) that may appear encoded in event data. Specifically, the system may retrieve bytecode for an identified blockchain operation (e.g., a transaction). The system may then segregate the bytecode into constructor arguments, code sections, and/or metadata. The system may then parse the segregated portions of bytecode for bytecode representations that are based on function signatures, event signatures, token standards, and/or contract addresses. In some embodiments, the system may further narrow the pool of known bytecode representations that are compared against the remaining sections of bytecode based on bytecode representations corresponding to a particular type of blockchain network standard.

Abstract: Methods and systems disclosed herein for parsing and identifying unindexed parameters and other information (e.g., a token contract address) may appear encoded in event data. Specifically, the system may retrieve bytecode for an identified blockchain operation (e.g., a transaction). The system may then segregate the bytecode into constructor arguments, code sections, and/or metadata. The system may then parse the segregated portions of bytecode for bytecode representations that are based on function signatures, event signatures, token standards, and/or contract addresses.

Abstract: A method and system for identifying a blind spot in one or more decoupled measurements. The method may comprise disposing an electromagnetic well measurement system into a wellbore. The electromagnetic well measurement system comprise an electromagnetic transmitter and a plurality of electromagnetic receivers. The method may further comprise transmitting electromagnetic fields into a formation with the electromagnetic transmitter, measuring the electromagnetic fields with the plurality of electromagnetic receivers as one or more measurements at one or more depths in the wellbore, decoupling the one or more measurements to form decoupled measurements, identifying if a blind spot is in the decoupled measurements, and performing an inversion with the decoupled measurements.

Abstract: The present application provides methods, cell culture media and combinations thereof for generating neural progenitor cells (NPCs), particularly human neural progenitor cells (hNPCs), from either embryonic stem cells (ESCs) or induced pluripotent stem cells (iPSCs), wherein the NPCs are particularly suitable for pre-clinical and clinical use.

Abstract: Apparatus and methods for measuring the oil to water ratio of a wellbore fluid. An example method includes flowing the wellbore fluid into a flow path of a fluid identification device disposed on the outside of a wellbore tubing and within a wellbore annulus. The fluid identification device comprises a shroud, the flow path disposed within the shroud that opens to the wellbore annulus and fluidically links the wellbore annulus to the wellbore tubing thereby allowing fluid flow through the flow path from the wellbore annulus to the wellbore tubing, and an alternating current electrical sensor disposed within the flow path. The method further includes measuring a property of the wellbore fluid with the alternating current electrical sensor when the wellbore fluid has flowed into the flow path and determining the oil to water ratio of the wellbore fluid that flowed through the flow path.

Abstract: Systems and methods for blockchain services with a multicurrency blockchain platform.

Abstract: A system, method, and computer-readable medium are disclosed that provide patient analytics based East Asian Medicine (EAM) or Oriental Medicine (OM) or principles. Data specific to a patient along with environmental data related to the patient are collected. The collected data is processed using EAM principles through Artificial Intelligence/Machine Learning (AI/ML). The collected data is processed with EAM principles and output form AI/ML to provide patient health status over different time intervals. Diagnostics and recommendations are provided based on the AI/ML and symptoms checking.