Abstract: The present disclosure discloses a lighting device, including a base, a cover and a lighting module, the cover is disposed on the base, and a receiving chamber is formed between the cover and the base; the lighting module includes a light source module and a driving power source, the light source module is rotatably disposed on a side wall of the base, the driving power source is disposed in the receiving chamber, and the light source module is connected with the driving power source.

Abstract: This invention provides improved methods for generation of hematopoietic precursor cells from a pluripotent stem cell and hematopoietic precursor cells generated thereof. The hematopoietic precursor cells express CXCR4 or runx1c and are capable of homing and/or engraftment in bone marrow.

Abstract: A mounting base of a lamp, a lighting assembly, and a lamp are provided. The mounting base is configured to be in detachable connection with a plurality of lighting assemblies, the mounting base includes at least one mounting portion and a plurality of first electrical terminals fixed on the mounting portion, and the plurality of first electrical terminals on each mounting portion are configured to be in plug-in fit with a plurality of second electrical terminals of the lighting assemblies in one-to-one correspondence. The plurality of first electrical terminals are configured to supply power to the plurality of lighting assemblies when plugged in with the plurality of second electrical terminals.

Abstract: A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.

Abstract: The present invention provides a structure for assembling and disassembling a dirt suction head to/from a filter bag, comprising a first connection piece and a second connection piece; one end of the second connection piece is detachably connected to a connection pipe of the dirt suction head, and the other end of the second connection piece is provided with a holding cavity; one end of the first connection piece is connected to an opening of an end of a filter bag body, and the other end of the first connection piece is assembled into the holding cavity; or a circumferential side edge of the opening of the filter bag body is tightly pressed and fixed between an outer side wall of the first connection piece and an inner side wall of the holding cavity, which has achieved a quick assembling and disassembling and smooth external aesthetics of a connection position.

Abstract: A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.

Abstract: Disclosed is a blockchain-enabled edge computing method for production scheduling. The method includes modeling a smart contract between a device and a manufacturing unit, and using the smart contract to perform production scheduling on the device inside the manufacturing unit; one of the manufacturing units includes multiple devices; mounting each device on the blockchain operating node, the MES issues production instructions to the nodes of each manufacturing unit, at the same time, the nodes acquire production data of the device through multiple data sources of the device, the operating state data and process parameter data of each device are acquired in real time, and the data is directly chained from the device level; according to the production instructions and device parameters obtained by the manufacturing unit, using edge computing to dynamically adjust the device load, efficiency, and utilization.

Abstract: The present disclosure provides a touch substrate, a method for preparing the same, and a touch display device. The touch substrate includes: a base substrate; a plurality of touch electrodes located on the base substrate; a touch electrode bridge located on the base substrate and configured to connect the plurality of touch electrodes; and a plurality of first insulating patterns located on a surface of the touch electrode bridge away from the base substrate, in which the plurality of first insulating patterns is arranged in such a manner that adjacent first insulating patterns are separated from each other; and a plurality of second insulating patterns each located between the adjacent first insulating patterns, wherein the first insulating patterns and the second insulating patterns are made of different materials. The touch substrate according to the present disclosure has a high yield.

Abstract: A detective method, applied in a detective system comprising an activity-or-behavior model constructor, for activity-or-behavior model construction and automatic detection of activities of a subject system, comprises steps of using an unsupervised machine learning technique, a Natural Language Processing technique (NLP) and a supervised machine learning technique. As such, an activity-or-behavior model is built for predicting the future behaviors of the subject system and automatically detecting abnormal activities or behaviors of the subject system. The activity-or-behavior model is capable to handle multidimensional sensor data input from a plurality of sensor data streams and incorporate the sensor data values and a selected temporal information about at least one sensor data stream and between different sensor data streams.

Abstract: A flyback converter and an output voltage acquisition method therefor and apparatus thereof, wherein the output voltage acquisition method comprises the following steps: acquiring the reference output voltage of a flyback converter; sampling the current output voltage of the flyback converter within a reset time of each switching period among M continuous switching periods of the flyback converter, wherein M is a positive integer; and according to the reference output voltage and the current output voltage, sampling a dichotomy to successively approximate the current output voltage until the M switching periods are finished, and acquiring the output voltage of the flyback converter.

Abstract: A semiconductor device includes a substrate; a gate structure, located over the substrate, the gate structure including a first gate oxide layer, a second gate oxide layer, and a silicon layer. The first gate oxide layer is over the substrate, and the first gate oxide layer has a sloped sidewall on one side and a vertical sidewall on another side. The second gate oxide layer is over the substrate and on the sloped sidewall of the first gate oxide layer, and a thickness of the second gate oxide layer is less than a thickness of the first gate oxide layer. The silicon layer is formed over the first gate oxide layer and the second gate oxide layer.

Abstract: A method for forming a semiconductor device includes providing a substrate, forming an oxide layer over the substrate, forming a plurality of first gate oxide layers by etching the oxide layer, forming a second gate oxide layer between adjacent first gate oxide layers, forming a silicon layer over the plurality of first gate oxide layers and the second gate oxide layer, and etching the plurality of first gate oxide layers, the silicon layer, and the second gate oxide layer to expose the substrate, thereby forming a plurality of gate structures. The first gate oxide layer of the plurality of first gate oxide layers has sloped sidewalls. A thickness of the second gate oxide layer is less than a thickness of the first gate oxide layer. Each gate structure includes an etched first oxide layer, a portion of the second gate oxide layer, and a portion of the silicon layer.

Abstract: The present disclosure discloses a telescopic aluminum rod comprising at least two nested aluminum tubes and except the innermost aluminum tube, the rear ends of the rest aluminum tubes are respectively connected with a sleeve; each sleeve is internally provided with an accommodating cavity in which a locking device is arranged; the locking device comprises a pressing buckle which is longitudinally movably mounted in the accommodating cavity and the upper end face of the pressing buckle protrudes out of the sleeve through an opening formed on the sleeve, a bent plate of which the rear end abuts against the lower end face of the pressing buckle, and the middle is clamped inside the accommodating cavity.

Abstract: Systems and methods in accordance with the invention allow automatic recording, sharing, and communicating of different parameters associated with images and their imager to define a specific system behavior of a display device or an algorithm unit. Examples of information include imager parameters, environment parameters, image processing and enhancement parameters, coordinates of a section of wide-angle scene image content, display parameters, defined user experience, defined system behavior or any information to be recorded, shared, and communicated. To avoid loss of information, the information is encoded directly in the picture using a marker. This way, the information is robustly transferred from the imager to the display unit. According to the information, the final image can be automatically corrected and enhanced before display, different associated parameters can be displayed on final image or be used with another output.

Abstract: Disclosed is a smart contract and an automatic bargaining method for secure multi-party computation and a device embodies same. A first public key and a first private key are generated based on a homomorphic encryption algorithm in the smart contract, the first public key is sent to a demander and a supplier so that the demander and the supplier encrypt the purchase price and the sale price through the first public key, respectively; after receiving a second public key and an encrypted purchase price sent by the demander and a third public key and an encrypted sale price sent by the supplier, the encrypted sale price and the encrypted purchase price that meet the preset transaction conditions are decrypted.

Abstract: Disclosed is a blockchain-enabled edge computing method for production scheduling. The method includes modeling a smart contract between a device and a manufacturing unit, and using the smart contract to perform production scheduling on the device inside the manufacturing unit; one of the manufacturing units includes multiple devices; mounting each device on the blockchain operating node, the MES issues production instructions to the nodes of each manufacturing unit, at the same time, the nodes acquire production data of the device through multiple data sources of the device, the operating state data and process parameter data of each device are acquired in real time, and the data is directly chained from the device level; according to the production instructions and device parameters obtained by the manufacturing unit, using edge computing to dynamically adjust the device load, efficiency, and utilization.