Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: The invention provides a method for preparing pyrrolidone, and the invention provides a method for catalytically preparing pyrrolidone with ?-aminobutyric acid in the presence of carnitine-CoA ligase CaiC. The carnitine-CoA ligase CaiC has an amino acid sequence as shown in SEQ ID NO:1. The ligase has catalytic activity in the cyclization of ?-aminobutyric acid to produce pyrrolidone. The carnitine-CoA ligase provided in the present invention affords a yield of pyrrolidone of 3.26 g/L and a molar yield of 39.53% in 24 h when ?-aminobutyric acid is used as a substrate, thus reducing the production period, improving the production of pyrrolidone, and accelerating the industrialization process of producing pyrrolidone by enzymatic conversion method.

Abstract: A cable detection system for detecting an end of a cable having a plurality of exposed different sections includes an illumination device and a camera. The illumination device emits an illuminating light to the end of the cable. The illumination device simultaneously emits a parallel light and a diffuse light to the end of the cable. The camera captures an image of the end of the cable. The parallel light sharpens a boundary between the different sections of the cable in the image, and the diffuse light clarifies a surface of the different sections in the image.

Abstract: Photoresist topcoat compositions comprise: a matrix polymer and a surface active polymer, wherein the surface active polymer comprises polymerized units of the following general formula (I): wherein: R1 represents a hydrogen atom, a halogen atom, a C1-C4 alkyl group, or a C1-C4 haloalkyl group; R2 independently represents a hydrogen atom or an optionally substituted alkyl group, wherein at least one R2 is not a hydrogen atom, wherein the R2 groups taken together optionally form a cyclic structure, and wherein the total number of carbon atoms for the R2 groups taken together is from 2 to 20; R3 represents an optionally substituted C1-C4 alkylene group, wherein an R2 group optionally forms a cyclic structure with R3; and R4 independently represents C1-C4 fluoroalkyl groups; wherein the total polymerized units of general formula (I) are present in the surface active polymer in an amount of 95 wt % or more based on total polymerized units of the surface active polymer; and wherein the surface active polymer i

Abstract: The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such data in the conduct of an assay by an assay system. The present invention also relates to consumables (e.g., kits and reagent containers), software, data deployable bundles, computer-readable media, loading carts, instruments, systems, and methods, for performing automated biological assays.

Abstract: A cartridge preprocessing system applied to an automated molecular diagnostics instrument is provided. The cartridge preprocessing system includes a piercing device and a cleaning device. The piercing device includes a drive assembly and a piercing member, and the drive assembly is configured to control the piercing member to alternately move to a piercing station and a cleaning station. The piercing member is configured to pierce a barrier film of a cartridge that moves to the piercing station, and the cleaning device is configured to clean the piercing member that moves to the cleaning station.

Abstract: An apparatus and method of feature extraction for identifying a pattern. An improved method includes obtaining data representative of a pattern instance, dividing the pattern instance into a plurality of zones, determining a representative characteristic of a zone of the plurality of zones, generating a representation of the pattern instance using a feature vector, wherein the feature vector includes an element corresponding to the representative characteristic, wherein the representative characteristic is indicative of a spatial distribution of one or more features of the zone. The method may also include classifying and/or selecting pattern instances based on the feature vector.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: A free-bending forming apparatus for a tubular component using differential temperatures and a method thereof are disclosed. The apparatus includes an isothermal heating device and a heating device for the differential temperatures. The isothermal heating device is configured to preheat an inside and an outside of a bending section of the tubular component to a predetermined temperature to form a preheated bending section before bending and forming. The heating device for the differential temperatures is configured to heat the inside and the outside of the preheated bending section of the tubular component respectively to different temperatures, and the temperature at the outside is higher than that at the inside. The heating device for the differential temperatures is provided between a pressing device and a guiding mechanism, and the isothermal heating device is provided between the pressing device and the heating device for the differential temperatures.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: A cable-direction-adaptive ROV winch applied to non-DP-equipped motherships, includes a non-DP-equipped mothership, an A-shaped support and a winch cable-drawing roller provided on the non-DP-equipped mothership, and an underwater vehicle. A pulley is rotatably connected to the A-shaped support, the underwater vehicle is connected to an umbilical cable, the umbilical cable passes around the pulley to be connected to the winch cable-drawing roller, and a locating unit for guiding the umbilical cable is provided on the non-DP-equipped mothership. The A-shaped support is provided with a rod. The pulley includes a sliding section and a rotating section, and the sliding section is annular and slides on the rod along a direction of the rod. The rod has a groove, and a bulge portion is formed on the sliding section. The rotating section is rotatably connected to an outer circle of the sliding section via a shaft bearing.

Abstract: A cable-direction-adaptive ROV winch applied to non-DP-equipped motherships, includes a non-DP-equipped mothership, an A-shaped support and a winch cable-drawing roller provided on the non-DP-equipped mothership, and an underwater vehicle. A pulley is rotatably connected to the A-shaped support, the underwater vehicle is connected to an umbilical cable, the umbilical cable passes around the pulley to be connected to the winch cable-drawing roller, and a locating unit for guiding the umbilical cable is provided on the non-DP-equipped mothership. The A-shaped support is provided with a rod. The pulley includes a sliding section and a rotating section, and the sliding section is annular and slides on the rod along a direction of the rod. The rod has a groove, and a bulge portion is formed on the sliding section. The rotating section is rotatably connected to an outer circle of the sliding section via a shaft bearing.

Abstract: Disclosed is a method for identifying driving fatigue based on a CNN-LSTM deep learning model including: collecting electroencephalograph signals of a subject during simulated driving; randomly issuing an operating command during simulated driving, and dividing the electroencephalograph signals into fatigue data and non-fatigue data according to a reaction time for the subject to complete the operating command; performing band-pass filtering and mean removal preprocessing on the electroencephalograph signals, and respectively extracting N minutes of fatigue electroencephalograph signal data and N minutes of non-fatigue electroencephalograph signal data to be detected; performing independent component analysis on the electroencephalograph signal data to remove interference signals; establishing a CNN-LSTM model and setting network parameters of the CNN-LSTM model; transmitting the electroencephalograph signal data with interference signals removed to a CNN network for feature extraction; and reshaping data of

Abstract: A network topology service receives a request to validate a plurality of network connections of a network topology specified by an administrator or other network technician. The network topology service evaluates the network topology to determine the structure of the network topology, which is used to select an algorithm for organizing the network connections into one or more groups. The network topology service uses these groups to perform one or more non-destructive tests on network devices associated with the plurality of network connections in a manner that does not cause disruption to the network connections. The network topology service compiles the results of these one or more tests and provides these results to the administrator or other network technician.

Abstract: A network testing device is provided in order to validate network topology information and test various other attributes of a network. The network testing device may, in response to a command, obtain connection information from a network indicated in the command. The connection information may be compared to network topology information corresponding to the network. The network topology information may indicate which interfaces of a network device should be to be connected to which interfaces of other network devices. The network testing device may then return, in response to the command, a result of the comparison. Furthermore, the network testing device may return result of other network test performed by the network testing device on the network device.

Abstract: A network testing device is provided in order to validate network topology information and test various other attributes of a network. The network testing device may, in response to a command, obtain connection information from a network indicated in the command. The connection information may be compared to network topology information corresponding to the network. The network topology information may indicate which interfaces of a network device should be to be connected to which interfaces of other network devices. The network testing device may then return, in response to the command, a result of the comparison. Furthermore, the network testing device may return result of other network test performed by the network testing device on the network device.

Abstract: A network testing device is provided in order to validate network topology information and test various other attributes of a network. The network testing device may, in response to a command, obtain connection information from a network indicated in the command. The connection information may be compared to network topology information corresponding to the network. The network topology information may indicate which interfaces of a network device should be to be connected to which interfaces of other network devices. The network testing device may then return, in response to the command, a result of the comparison. Furthermore, the network testing device may return result of other network test performed by the network testing device on the network device.

Abstract: A method for controlling access to an electronic device, the electronic device activates a motion sensor to detect movement parameters, of a spatial moving operation of the electronic device, when a display device of the electronic device awakes from a sleep mode. once the movement parameters detected by the motion sensor match predetermined reference parameters, the electronic device is unlocked.

Abstract: Provided herein is technology relating to proteases and proteomics and particularly, but not exclusively, to compositions comprising OmpT, methods of using OmpT, and methods of manufacturing OmpT for proteomics.