Abstract: A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for observation data. Large-scale information is extracted by the autoencoder, which is used for guiding an inversion network to complete the recovery of different-scale features in a velocity model, thereby reducing the non-linearity degree of inversion. A trained encoder part is embedded into the network to complete the extraction of seismic observation data information at the front end, so it can better analyze the information contained in seismic data, the mapping relationship between the data and velocity model is established better, then the inversion method is unsupervised, and location codes are added to the observation data to assist the network in perceiving the layout form of an observation system, which facilitates practical engineering application. Thus a relatively accurate inversion result of the seismic velocity model when no real geological model serves as a network training label can be achieved.

Abstract: Numerous embodiments are disclosed for verifying a weight programmed into a selected non-volatile memory cell in a neural memory. In one embodiment, a circuit for verifying a weight programmed into a selected non-volatile memory cell in a neural memory comprises a converter for converting a target weight into a target current and a comparator for comparing the target current to an output current from the selected non-volatile memory cell during a verify operation. In another embodiment, a circuit for verifying a weight programmed into a selected non-volatile memory cell in a neural memory comprises a digital-to-analog converter for converting a target weight comprising digital bits into a target voltage, a current-to-voltage converter for converting an output current from the selected non-volatile memory cell during a verify operation into an output voltage, and a comparator for comparing the output voltage to the target voltage during a verify operation.

Abstract: A plug connector includes a plug housing including a mating end and a cable end oriented perpendicular to the mating end. The plug connector includes a contact assembly having right angle contacts. A latch is coupled to the plug housing having a main body and a latch member extending from the main body. The latch member includes a pivot point. The plug connector includes a pull tab coupled to the main body of the latch at a connection point. The connection point is located forward of a pivot point and above a pivot point. The pull tab pulls on the main body at the connection point to pivot the latch at the pivot point to rotate the main body and the latch member in a downward actuation direction. The pull tab is pulled to release the latching tab from the mating connector.

Abstract: The invention provides a method for preparing a key intermediate for the synthesis of (S)-2-(3S,8S)-3-(4-(3,4-dichlorobenzyloxy)phenyl-7-((S)-1-phenylpropyl)-2,3,6,7,8,9-hexahydro-[1,4]-dioxino[2,3-g]isoquinolin-8-ylformylamino)-3-(4-(2,3-dimethylpyridin-4-yl)phenyl)propionic acid dihydrochloride: methyl (S)-2-amino-3-(4-(2,3-dimethylpyridin-4-yl)phenylpropionate and the salt thereof. The method adopts continuous feeding mode, does not require column chromatographic purification, simplifies the procedures, reduces loss and increases yield. Furthermore, the product, i.e., salt of methyl (S)-2-amino-3-(4-(2,3-dimethylpyridin-4-yl)phenylpropionate, obtained by the purification mode of salt formation, has high purity and good storage stability. The preparation method of the invention can achieve a total yield of above 85%, a purity of the target product of above 98%, and a content of the isomer of below 0.5%.

Abstract: A method for purification and separation of cannabinoids, such as cannabidiol and tetrahydrocannabinol, e.g., from dried hemp and cannabis leaves can use a continuous simulated moving bed process, a batch column chromatography method, or a single column, and a combination of one or more of a sequence of purification steps including: filtration, decolorization, activation or decarboxylation, dewaxing, polishing, and crystallization to separate a cannabinoid from the cannabis plant and to provide various cannabinoid products. The cannabinoid products can be used in various pharmaceutical and nutraceutical applications.

Abstract: A number of circuits for use in an output block coupled to a non-volatile memory array in a neural network are disclosed. The embodiments include a circuit for converting an output current from a neuron in a neural network into an output voltage, a circuit for converting a voltage received on an input node into an output current, a circuit for summing current received from a plurality of neurons in a neural network, and a circuit for summing current received from a plurality of neurons in a neural network.

Abstract: Tapered scintillator modules and detection devices having tapered scintillator modules in at least the end that contacts an optical sensor where the taper depends on the location of the scintillator module within the active area of the optical sensor is provided. Tapering of the scintillator modules may be close to the interface between the optical sensor and the module to minimize light leak to neighboring pixels at the interface while still allowing the detection device to retain high geometric efficiency and sensitivity to incident gamma rays since the distal end may not be tapered, which has a highest probability for gamma ray interaction based on Beer-Lambert law for photoelectric absorption.

Abstract: A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for observation data. Large-scale information is extracted by the autoencoder, which is used for guiding an inversion network to complete the recovery of different-scale features in a velocity model, thereby reducing the non-linearity degree of inversion. A trained encoder part is embedded into the network to complete the extraction of seismic observation data information at the front end, so it can better analyze the information contained in seismic data, the mapping relationship between the data and velocity model is established better, then the inversion method is unsupervised, and location codes are added to the observation data to assist the network in perceiving the layout form of an observation system, which facilitates practical engineering application. Thus a relatively accurate inversion result of the seismic velocity model when no real geological model serves as a network training label can be achieved.

Abstract: A connector assembly comprises a circuit board having a front side and a back side, with a connector installed on the front side of the circuit board. A plurality of first welding pads are formed on the front side of the circuit board, and a plurality of second welding pads are formed on the back side of the circuit board. A plurality of wires are connected to the circuit board, with a first portion thereof connected to the first welding pads and a second portion thereof connected to the second welding pads. Each of the plurality of wires extend away from the circuit board from above the front side of the circuit board.

Abstract: A connector assembly comprises a circuit board having a front side and a back side, and two first connectors mounted side by side on the front side of the circuit board. A cable includes a plurality of wires divided into two groups, with each of the groups of wires being electrically connected on one end to a respective one of the first connectors via the circuit board.

Abstract: A method of scanning N×N pixels using a vector-by-matrix multiplication array by (a) associating a filter of M×M pixels adjacent first vertical and horizontal edges, (b) providing values for the pixels associated with different respective rows of the filter to input lines of different respective N input line groups, (c) shifting the filter horizontally by X pixels, (d) providing values for the pixels associated with different respective rows of the horizontally shifted filter to input lines, of different respective N input line groups, which are shifted by X input lines, (e) repeating steps (c) and (d) until a second vertical edge is reached, (f) shifting the filter horizontally to be adjacent the first vertical edge, and shifting the filter vertically by X pixels, (g) repeating steps (b) through (e) for the vertically shifted filter, and (h) repeating steps (f) and (g) until a second horizontal edge is reached.

Abstract: A wire for transcranial magnetic stimulation, which is used to fabricate a transcranial magnetic stimulation coil (100), comprising: an insulating tube and metal wires (20) sleeved on the exterior of the insulating tube (10); the insulating tube (10) is a hollow structure, and the interior of the insulating tube (10) is used for liquid or gas circulation, and the metal wires (20) or multi-stranded wire are used for energizing to thereby generate a magnetic field. The present invention may not only achieve the effect of cooling the stimulation coil (100), but also avoids the danger of the wire coil and the a circulating coolant making contact and conducting electricity.

Abstract: The present invention relates to a “one-pot process” for preparing intermediate of antibody-drug conjugate. The preparation process provided by the present invention is simple in operation, and needs no such steps like concentration, washing and filtration of the intermediate reaction liquid, disposal of the organic waste liquid, and packaging and storage of the intermediate. The entire reaction system comprises only one separation and purification treatment, saving costs for labor, equipment, venues, raw materials, etc., and greatly reducing the pollution to the environment. In addition, the “one-pot process” for preparing intermediate of antibody-drug conjugate of the present invention produces the intermediate of antibody-drug conjugate with higher yield. The “one-pot process” for preparing intermediate of antibody-drug conjugate provided by the present invention is more suitable for scale-up production.

Abstract: A plug connector includes a plug housing including a mating end and a cable end. The cable end is oriented perpendicular to the mating end. The plug housing includes a mating chamber at the mating end and a cable chamber at the cable end. The plug connector includes a contact assembly coupled to the plug housing. The contact assembly includes an array of contacts. Each contact includes a mating end and a terminating end. Each contact is a right angle contact having the terminating end being perpendicular to the mating end. The plug connector includes cables terminated to the terminating ends of the contacts. Ends of the cables extend into the cable end of the plug housing. The cables extend from the plug housing at the cable end. The cables extend along linear cable axes from the contacts to the exterior of the plug housing.

Abstract: Numerous examples are disclosed for an output block coupled to a non-volatile memory array in a neural network and associated methods. In one example, a circuit for converting a current in a neural network into an output voltage comprises a non-volatile memory cell comprises a word line terminal, a bit line terminal, and a source line terminal, wherein the bit line terminal receives the current; and a switch for selectively coupling the word line terminal to the bit line terminal; wherein when the switch is closed, the current flows into the non-volatile memory cell and the output voltage is provided on the bit line terminal.

Abstract: Numerous examples of summing circuits for a neural network are disclosed. In one example, a circuit for summing current received from a plurality of synapses in a neural network comprises a voltage source; a load coupled between the voltage source and an output node; a voltage clamp coupled to the output node for maintaining a voltage at the output node; and a plurality of synapses coupled between the output node and ground; wherein an output current flows through the output node, the output current equal to a sum of currents drawn by the plurality of synapses.

Abstract: A silencing device and a compressor having the silencing device are disclosed. The silencing device has a housing. An air inlet and an air outlet are provided to the housing. An air flow channel is provided in the housing for allowing air communication between the air inlet and the air outlet. An oil hole is provided in the housing for discharging oil from the housing. An oil guide part is arranged on the outside of the housing and at a position downstream of the oil hole in the moving direction of the oil, such that the oil drips from the housing after flowing from the oil hole to the oil guide part.

Abstract: Numerous examples are disclosed for verifying a weight programmed into a selected non-volatile memory cell in a neural memory. In one example, a circuit comprises a digital-to-analog converter to convert a target weight comprising digital bits into a target voltage, a current-to-voltage converter to convert an output current from the selected non-volatile memory cell during a verify operation into an output voltage, and a comparator to compare the output voltage to the target voltage during a verify operation.

Abstract: Disclosed is a nucleic acid test kit, comprising a Cpf1 test system, said Cpf1 test system comprising: a guide RNA, a Cpf1 protein, a nucleic acid probe, and a manganese ion-containing solution. Also provided is a mutated Cpf1 protein and a nucleic acid test kit containing the mutated Cpf1 protein. Also provided is a crRNA for testing coronavirus nucleic acid, and a nucleic acid test kit containing said crRNA. Further provided is a use of the nucleic acid test kit, and a test method for the nucleic acid. When the nucleic acid test kit, mutated Cpf1 protein, or crRNA of the present invention are used for nucleic acid testing (for example, testing the nucleic acid of a SARS-related coronavirus or MERS coronavirus), the signal strength during the test is substantially enhanced, and the test time is thus reduced and the test efficiency improved.

Abstract: A method for classifying multi-granularity breast cancer genes based on a double self-adaptive neighborhood radius includes large-scale gene locus data are read and normalized, and a data analysis is performed on the large-scale gene loci. An optimum value K is selected by adopting a combination of contour coefficients and a PCA dimensionality reduction visualization, and a model of information granulation is adjusted. A heuristic reduction algorithm is used to implement a multi-granularity attribute reduction of a self-adaptive neighborhood radius based on a cluster center distance and a multi-granularity attribute reduction of a neighborhood radius based on an attribute inclusion degree, and big data for breast cancer genes are classified and predicted by adopting a machine learning classification algorithm based on a SVM support vector machine.