Abstract: According to some embodiments, a system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV. The system identifies an obstacle in motion near the ADV based on the captured image. The system predicts a location for the moving obstacle at each of a number of time points. The system generates a probability ellipse based on the predicted location at the each time point, where the probability ellipse includes a probability indicator indicating different probabilities of the moving obstacle for different locations within the probability ellipse at the each time point.

Abstract: Embodiments of the present disclosure belongs to the technical field of animal feed and provides a method for rapidly evaluating metabolizable energy of goose diet by using a technique of simulative digestion gross energy. By using the technical means combining the biological method and the simulative digestion gross energy technique, metabolizable energy of goose feed can be evaluated quickly. Based on the “stomach-small intestine” two-step enzymatic methods, it is the first time to establish a regression equation between the metabolizable energy change and fiber level in the cecum to rectify the value of simulative digestion gross energy in the cecal microbial digestion phase, making the simulative digestion gross energy technique more reasonable in the assessment of metabolizable energy in geese. Results show that the use of simulative digestion gross energy technique to assess the metabolizable energy of goose feed value is highly feasible.

Abstract: Disclosed a method of preparing composite particles comprising a non-porous spherical particulate inorganic material deposited on a plate-like inorganic material, where refractive index of said particulate inorganic material is greater than that of said plate-like inorganic particulate material, wherein, said spherical material occupies 20 to 80% of total surface area of said plate-like material and wherein the amount of said spherical material accounts for 2 to 20 wt % of said composite particles, further wherein said plate-like inorganic material is mica and said non-porous spherical particulate inorganic material is silicone dioxide, said method comprising the steps of: (iv) silanization of said plate-like inorganic material to get a silanized material having functional groups “A”; (v) silanization of said non-porous spherical particulate inorganic material to get a silanized material having functional groups “B”, where A?B; and where said “A” and said “B” are capable of reacting with each other such that

Abstract: A method for forming a porous copper composite is provided. At least two carbon nanostructure reinforced copper composite substrates are provided. The at least two carbon nanostructure reinforced copper composite substrates are stacked to form a composite substrate. An active metal layer is disposed on a surface of the composite substrate to form a first a composite structure. The first composite structure is pressed to form a second composite structure. The second composite structure is annealed to form a third composite structure. The third composite structure is de-alloyed to form a porous copper composite.

Abstract: A graphical structure model trained with labeled samples is obtained. The graphical structure model is defined based on an account relationship network that comprises a plurality of nodes and edges. The edges correspond to relationships between adjacent nodes. Each labeled sample comprises a label indicating whether a corresponding node is an abnormal node. The graphical structure model is configured to iteratively calculate, for at least one node of the plurality of nodes, an embedding vector in a hidden feature space based on an original feature of the least one node and/or a feature of an edge associated with the at least one node. A first embedding vector that corresponds to a to-be-tested sample is calculated using the graphical structure model. Abnormal account prevention and control is performed on the to-be-tested sample based on the first embedding vector.

Abstract: Provided herein are methods of using populations of natural killer (NK) cells and/or ILC3 cells derived from a population of hematopoietic stem or progenitor cells in methods for treating a viral infection, e.g., a coronavirus infection.

Abstract: According to some embodiments, a system receives a first control command and a speed measurement of the ADV. The system determines an expected acceleration of the ADV based on the speed measurement and the first control command. The system receives an acceleration measurement of the ADV. The system determines a feedback error based on the acceleration measurement and the expected acceleration. The system updates a portion of the calibration table based on the determined feedback error. The system generates a second control command to control the ADV based on the calibration table having the updated portion to control the ADV autonomously according to the second control command.

Abstract: The present invention provides a BCMA-targeted chimeric antigen receptor (CAR) as well as a preparation method therefor and an application thereof. Specifically, the present invention provides the BCMA-targeted CAR, which comprises a BCMA-targeted scFv, a hinge region, a transmembrane region, and an intracellular signal structure domain. The present invention provides a nucleic acid molecule for coding the CAR and a corresponding expression vector as well as CAR-T cells and application thereof. The CAR of the present invention targets BCMA-positive cells, and can be used for treating BCMA-positive B-cell lymphoma, multiple myeloma and plasma cell leukemia.

Abstract: Disclosed are a pulverized coal preprocessing method and a pulverized coal gasifying method. The pulverized coal preprocessing method comprises the following steps: (1) performing pore broadening on pulverized coal to obtain preprocessed pulverized coal; (2) loading alkali metal ions into the preprocessed pulverized coal under an ion exchange condition to obtain alkali metal loaded pulverized coal. The method further comprises loading a chrome complex into the alkali metal loaded pulverized coal obtained in described step (2). In gasification, the pulverized coal loaded with alkali metal potassium and chrome catalysts obtained by the method has the advantages of high sulphur removal rate, high carbon conversion rate, short gasifying reaction time and high methane production.

Abstract: An air energy power machine comprises an air compressor (1). An air inlet end of the air compressor is connected with an air storage tank (2) through a pipeline; an air outlet end of the air compressor is connected with a first heat exchanger (3) through a pipeline; a second heat exchanger (4) is connected to the right side of the first heat exchanger through a pipeline; the second heat exchanger is connected with the air storage tank to form a closed loop; a first liquid pump (5) connected with the first heat exchanger through a pipeline is arranged below the first heat exchanger; a first liquid collection tank (6) is connected to the first liquid pump; a first steam turbine (7) is arranged above the first heat exchanger; a steam inlet of the first steam turbine is connected with the first heat exchanger through a pipeline.

Abstract: In an example embodiment, a framework to infer a user's value for a particular attribute based upon a multi-task machine learning process with uncertainty weighting that incorporates signals from multiple contexts is provided. In an example embodiment, the framework aims to measure a level of a user attribute under a certain context. Rather than attempting to devise a universal, one-size-fits-all value for the attribute, the framework acknowledges that the user's value for that attribute can vary depending on context and factors in the context under which the user's attribute levels are measured. Multiple contexts are defined depending on different situations where users and entities such as companies and organizations need to evaluate user attribute levels. Signals for attribute levels are then collected for each context. Machine learning models are utilized to estimate attribute values for different contexts. Multi-task deep learning is used to level attributes from different contexts.

Abstract: The centrifuge tube includes: a tube body comprising an inner surface and an outer surface, a sensor provided at the inner surface of the tube body and comprising a first electrode group; and a second electrode group provided at the outer surface of the tube body and electrically connected with the first electrode group.

Abstract: An intelligent wearable device includes a housing (1) and a display unit (2) mounted on the housing (1). The display unit (2) includes a first display screen (21) and a second display screen (22). The first display screen (21) is a flexible display screen, and the first display screen (21) includes a first display area (211), a bendable area (212) and a second display area (213) which are sequentially connected, wherein the first display area (211) and the second display area (213) are foldably connected to each other by means of the bendable area (212), and a back face of the first display area (211) is connected to the housing (1). The second display screen (22) is an electronic ink screen, and a back face of the second display screen (22) is connected to a back face of the second display area (213) in a laminated manner.

Abstract: An anode of the lithium ion battery is provided. The anode of the lithium ion battery comprises a nanoporous copper substrate and a copper oxide nanosheet array. The copper oxide nanosheet array is disposed on one surface of the nanoporous copper substrate, and the nanoporous copper substrate is chemically bonded to the copper oxide nanosheet array.

Abstract: A fence accessory includes at least two ornament bodies, each of the at least two ornament bodies including a first connecting part and a second connecting part at two opposing ends thereof. The first connecting part of one of the at least two ornament bodies and the second connecting part of an other one of the at least two ornament bodies are configured to be connected to a fence bar and clamped together as one unit. Moreover, each of the first connecting part and the second connecting part includes a hook and a slot at two opposing sides of the first connecting part and the second connecting part. The hook of the first connecting part of one ornament body is configured to connect to the slot of the second connecting part of an adjacent accessory body.

Abstract: A hybrid transmission and a vehicle having the hybrid transmission. An engine, a generator, and a motor are coaxially arranged; a first planetary gear set is separately connected to a crankshaft of the engine and a rotor of the generator; a clutch comprises a first driving end connected to a planet carrier of the first planetary gear set and a second driving end connected to a ring gear of a second planetary gear set, wherein the first driving end and the second driving end are involved in engagement and disengagement; a rotor of the motor is connected to a sun gear axle of the second planetary gear set. When the motor performs driving, the clutch is disengaged from the engine and the generator to avoid a drag resistance of the engine.

Abstract: Provided are a chimeric antigen receptor targeting CD20 antigen and a preparation method thereof. The extracellular antigen binding domain of the chimeric antigen receptor includes an antibody heavy chain variable region shown in SEQ ID NO: 7 or 9 or 33 and an antibody light chain variable region shown in SEQ ID NO: 11 or 13 or 35, and is capable of killing tumor cells.

Abstract: A multidimensional resource scheduling method in a Kubernetes cluster architecture system is provided. For a computing-intensive service, each server node in the cluster is scored according to CPU idleness and memory idleness; for an ordinary service, each server node in the cluster is scored according to resource requirements of a scheduling task, a resource priority of each server node and resource balance of each server node. The pod scheduling task is bound to a server node with a highest score for execution. This scheduling method meets diverse resource requests of various services, thereby enhancing the flexibility and expandability of the system.

Abstract: An electrochemical detection electrode includes: a plurality of electrode structures; and a plurality of groups of detection structures on the plurality of electrode structures; wherein: the plurality of groups of detection structures include a first group of detection structures and a second group of detection structures, each of the first group of detection structures on one of the plurality of electrode structures having a first shape in a plane parallel to a surface of one of the plurality of electrode structures is configured to combine with a first detection object, each of the second group of detection structures on one of the plurality of electrode structures having a second shape in a plane parallel to a surface of one of the plurality of electrode structures is configured to combine with a second detection object; and wherein the first shape is different from the second shape.

Abstract: A method for making nanoporous nickel composite material comprises: providing a cathode plate and a copper-containing anode plate, electroplating a copper material layer a surface of the cathode plate; laying a carbon nanotube layer on the copper material layer, and forming an overlapped structure of the copper material layer and the carbon nanotube laye; the cathode plate and the overlapped structure are used as a cathode, and a nickel-containing anode plate is used as an anode, plating a nickel material layer on the overlapped structure to form sandwich structure; repeating steps S1 to S3 to obtain a carbon nanotube-reinforced copper-nickel alloy; rolling and annealing the carbon nanotube-reinforced copper-nickel alloy; and etching the carbon nanotube-reinforced copper-nickel alloy to form the nanoporous nickel composite material.