Abstract: An alcohol soluble protein gas-liquid interface self-assembled porous membrane and a preparation method thereof are provided. The alcohol soluble protein gas-liquid interface self-assembled porous membrane is prepared from an alcohol soluble protein membrane storage solution by an anti-solvent method. The porous interface membrane is rapidly prepared by an alcohol soluble protein interface self-assembled one-step method and can be rapidly formed within 4 seconds, which greatly improves the preparation efficiency of the alcohol soluble protein membrane. The structure (size, pore diameter, micro porosity) of the alcohol soluble protein interface self-assembled porous membrane is precisely regulated and controlled by regulating and controlling process parameters, and a new preparation solution of an alcohol soluble protein base membrane, which is more efficient and has a modifiable structure compared with an alcohol soluble protein membrane prepared by a traditional solvent evaporation method, is developed.

Abstract: A source-network-load-storage coordination dispatching method in a background of a coupling of renewable energy sources, including: taking an expectation of a minimum grid operating cost in a dispatching cycle as an objective function; generating an approximate value function of an output of a set for generating electricity from renewable energy sources and a user load, and constructing a source-network-load-storage coordination dispatching model with combination of the objective function; obtaining forecast data of the output of a set for generating electricity from renewable energy sources and the user load, and inputting the forecast data into the dispatching model for solving; performing iterative updating on the approximate value function, importing the approximate value function after the iterative updating into the dispatching model for iterative solving, and terminating an iterative process until a solving result satisfies a preset convergence condition; and using a solving result of a last iteration

Abstract: The present application relates to a system-on-chip SoC, the system-on-chip SoC comprising: a power regulating input port; and a light-emitting diode LED driving circuit coupled with the power regulating input port, wherein the light-emitting diode LED driving circuit is used to provide a constant current output, and wherein the light-emitting diode LED driving circuit comprises an adjustable resistor, so that the constant current output changes with a change in resistance value of the adjustable resistor. The present application also relates to a smoke detection device.

Abstract: A method for predicting a CO2 storage risk assessment includes determining a set of well integrity rules and determining a classification process based on the set of well integrity risks. Data relevant to the set of well integrity rules is extracted from data for a well located in a subsurface formation. The extracted data is provided to the classification process. A prediction for a subsurface CO2 storage tisk assessment is computed for the well. In a preferred embodiment, subsurface CO2 storage risk assessment for two or more wells in the subsurface formation are used to compute a prediction of a formation CO2 storage risk assessment.

Abstract: Service-related parameters may be communicated for a survival time measurement. Those parameters can be wirelessly communicated on the Radio Access Network (“RAN”) side. A measurement of the survival time and implementation of a survival time timer is based on those parameters and/or a timer for a packet delay budget.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: Provided are an anchor terminal determination method, an information sending method, a communication node, and a storage medium. The anchor terminal determination method includes receiving information sent by a target terminal, determining a target parameter according to the information sent by the target terminal, and determining that the first terminal is an anchor terminal in a case where the target parameter satisfies a set restriction condition.

Abstract: Disclosed are a photovoltaic energy storage offline coordination system and method based on demand management. The system includes a photovoltaic generator set, an inverter, a dispatch and control device for charge-discharge, a load monitor, a first and second energy storage device, and a remote console. The photovoltaic generator set is electrically connected to the dispatch and control device for charge-discharge via the inverter; the first energy storage device is connected to a load-side power supply bus via a first dispatch and control unit; the second energy storage device is connected to the load-side power supply bus via a third dispatch and control unit; a second dispatch and control unit is connected to the load-side power supply bus; the load monitor is provided at the load-side power supply bus, and configured to monitor a load of the load-side.

Abstract: A method of crowdsourcing annotation for medical image data based on image comparison, includes developing an annotation task; acquiring and verifying medical images according to requirements of the annotation task, and performing statistics on the medical images that meet verification standards to obtain an amount of image data acquired; archiving the medical images that meet the verification standards to form a medical image database; setting up annotation rules, and generating annotation schemes and annotation samples according to the requirements of the annotation task and annotation rules; distributing the medical images in the medical image database to multiple crowdsourcing annotation sides, so that each medical image being annotated by the multiple crowdsourcing annotation sides; annotating, by the crowdsourcing annotation sides, the distributed medical images according to the annotation schemes and the annotation examples to form the annotated images; and merging multiple annotated images correspondi

Abstract: The present disclosure provides a semiconductor structure and a method of manufacturing a semiconductor structure. The semiconductor structure includes a substrate, semiconductor structures, an isolation layer, an adhesive layer, a metal layer, a metal nitride layer, a semiconductor layer, a profile modifier layer, and a disconnection structure. The semiconductor structures are disposed on the substrate. The isolation layer is disposed between the semiconductor structures. The metal layer is disposed on an adhesive layer. The metal nitride layer is disposed on the metal layer. The semiconductor layer is disposed on the metal nitride layer. The profile modifier layer is disposed on the semiconductor layer. The disconnection structure is disposed and extending from the profile modifier layer to the isolation layer. A first width of the disconnection structure in the profile modifier layer is substantially the same as a second width of the disconnection structure in the isolation layer.

Abstract: Systems and methods for creating a reorganization-immune blockchain index using mono-increasing sequence records are described. For example, the system may receive on-chain data for a plurality of blocks, wherein the plurality of blocks comprises a first block comprising a first event of a plurality of blockchain events within the on-chain data. The system may determine a first sequence number for the first event, wherein the first sequence number is based on a mono-increasing sequence record.

Abstract: Embodiments of the present disclosure provide a datum selection method for minimizing hole position errors in group hole machining of large components, comprising: 1) determining a type of a computer numerical control (CNC) machine tool and establishing a topological structure of the CNC machine tool; 2) establishing a theoretical postural model of a tool center point during a motion; 3) establishing a hole position error model; 4) establishing an average error model of hole positions in group hole machining; and 5) obtaining a machining datum for group holes of corresponding components. For the skeleton and skinned group hole machining of aircraft components, different principles of datum selection are provided respectively, which can effectively improve the positional accuracy of the skeleton or skinned group hole machining, at the same time provides a more scientific and reasonable approach for the datum selection in group hole machining of large components.

Abstract: An AC-AC converter can include a stack of four switches. An input of the converter can be coupled across the stack of four switches, and an output of the converter can be taken from first terminal coupled to a connection point of first and second switches of the stack and a second terminal coupled to a connection point of third and fourth switches of the stack. The converter can further include a controller that operates the switches such that during a positive half cycle of an AC input voltage, the first and second switches are operated with an alternating 50% duty cycle and the third and fourth switches are constantly on, and during the negative half cycle of the AC input voltage, the third and fourth switches are operated with an alternating 50% duty cycle and the first and second switches are constantly on.

Abstract: A cleaning method and a cleaning tool for a negative-pressure component for battery formation are provided. The cleaning tool includes a liquid storage tank for storing a cleaning liquid, a power member connected with the liquid storage tank, a storage cup, and a liquid guide member. The storage cup is communicated with the negative-pressure component through the guide member. The cleaning tool has a first pipeline defining a flow from the liquid storage tank to the storage cup. The power member provides power for the flow of the cleaning liquid in the first pipeline to inject the cleaning liquid in the liquid storage tank into the storage cup. The cleaning liquid is sucked into the negative-pressure component from the storage cup by an existing negative-pressure power source of the negative-pressure component. Air sucked by the negative-pressure power source is mixed with the cleaning liquid in the negative-pressure component.

Abstract: An electrical system can include an isolated bidirectional converter (having an input couplable to a grid connection and an output couplable to a battery) and an isolated converter (having an input coupled to the input of the isolated bidirectional converter and couplable to the grid connection, with an AC output coupled to a convenience outlet). The electrical system can further include a controller that controls operation of the converters to operate in one of a plurality of modes including a charging mode in which the isolated bidirectional converter operates in a forward direction to charge the battery and the non-isolated converter powers the convenience outlet from the grid connection, and a non-charging mode in which the isolated bidirectional converter operates in a reverse direction to power the non-isolated converter from the battery and the non-isolated converter powers the convenience outlet.

Abstract: Disclosed herein is a benzene ring-containing glucose derivative of formula (I): where R1 is each independently and R2 is hydrogen. This application also provides a radioactive drug, including a complex formed by the benzene ring-containing glucose derivative and a radionuclide. Use of the benzene ring-containing glucose derivative in the tumor treatment and diagnosis is further provided.

Abstract: The present invention provides a method for determining the prognosis of cancer in a subject. The method comprises measuring the amount of megakaryocytes in a sample from the subject. Usually, the sample is a blood sample. The method may also comprise measuring the number of circulating tumour cells (CTCs) in the sample, and in some embodiments a comparison of the number of megakaryocytes and CTCs in the sample. The present invention also provides methods of treatment for cancer in a patient for whom a poor prognosis is predicted using a method of prognosis of the invention.

Abstract: A method of establishing a clinical decision support system for SPC risk evaluation among patients with colorectal cancer includes combining cancer characteristics into a characteristic assembly of SPC risk evaluation; obtaining clinical data of first participants to establish a database of SPC risk evaluation; entering the database into a machine learning algorithm; using the machine learning algorithms to establish a SPC risk evaluation model; using a characteristic interpreter to analyze the model; calculating a risk value of each cancer characteristic; presenting the risk values in graphics to establish a clinical decision support system; obtaining clinical data of second participants and inputting same into the clinical decision support system; using the machine learning algorithm for comparison and analysis; predicting risk for SPC; calculating a risk value of each cancer characteristic; presenting the risk values on the clinical decision support system; giving suggestions of decreasing risk; and monito