Abstract: A method for preparing a nitrogen-containing heterocyclic compound and a derivative thereof by an enzymatic-chemical cascade method, comprising: reacting an alcohol, an amine, an alcohol dehydrogenase, a flavin molecule and a coenzyme in a solvent to obtain the nitrogen-containing heterocyclic compound and the derivative thereof; compared with the prior art, the method is a green and economical enzymatic-chemical cascade method, and is used for synthesizing nitrogen-containing heterocyclic compounds and derivatives thereof; compared with a common toxic chemical catalyst, the alcohol dehydrogenase is selected as a catalyst in the method, which has the characteristics of high substrate specificity, no pollution, high catalytic efficiency, no toxic solvents and simple post-treatment.

Abstract: This application relates to a device for measuring a transmittance curve of an Fabry-Perot using a frequency comb light source and a method using the same. The device includes the following components sequentially arranged in an optical path: a single frequency pulse laser generating single frequency pulse laser; a frequency comb laser converting received single frequency pulse laser into frequency comb laser; and an Fabry-Perot to be detected receiving laser output from the frequency comb laser; where the device further includes a first receiving unit receiving laser from an output end of the frequency comb laser and performing component and spectrum analysis, and a second receiving unit receiving laser from an output end of the Fabry-Perot to be detected and performing component and spectrum analysis.

Abstract: The invention relates to the technical field of radar detection, in particular to a method for radiation calibration of airborne hyperspectral imaging LiDAR system. The method comprises the following steps: S1. A monochromator in a spectrum calibration system emits optical signals of different spectrum values to scan the radar system, thus to obtain the bandwidth and central wavelength of each channel in the radar system; S2. According to the return signal power PR (?, z) in the hyperspectral LiDAR equation and the optical power PRef (?) received by the target surface of the detector in the radar system under experimental conditions, a white diffuse reflection board is taken as the ground object target, and a ranging channel is used to measure the flying height of the radar system, thus to obtain the parameters in the return signal power PR (?, z) and the reflection spectrum ?G (?).

Abstract: Compositions for making a solid lyophile of one or more nucleic acid active agents, which can be reconstituted as a drug product. The composition can include an aqueous suspension of lipid nanoparticles in a pharmaceutically acceptable solution, wherein the lipid nanoparticles encapsulate one or more nucleic acid active agents, a dextrin compound, and a saccharide compound. The nucleic acid active agents can be RNAi molecules capable of mediating RNA interference, as well as other RNAs and oligonucleotides.

Abstract: The present application relates to the field of semiconductors, in particular, to the field of Dynamic Random Access Memories (DRAMs), and provides a method and system for detecting a mismatch of a sense amplifier. The method creates a sense amplifier by delaying switch-on of a positive channel-metal-oxide-semiconductor (PMOS) transistor or a negative channel-metal-oxide-semiconductor (NMOS) transistor in the sense amplifier and shortening a row precharge command period (tRP).

Abstract: A technique for encoding video is provided. The technique includes for a first portion of a first frame that is encoded by a first encoder in parallel with a second portion of the first frame that is encoded by a second encoder, determining a historical complexity distribution; determining a first bit budget for the first portion of the first frame based on the historical complexity distribution; and encoding the first portion of the first frame by the first encoder, based on the first bit budget.

Abstract: A method, system, and computer program product for self-learning reference mechanisms for model selection in AutoAI. The method identifies a set of data summary statistics within a data set. A data pattern group is identified within the set of data summary statistics. The data pattern group is determined to be mature. A model selection acceleration mechanism (MSAM) model is generated based on the data pattern group. The method predicts a set of top-k models for the data set based on the MSAM model.

Abstract: A display assembly, a client device having the display assembly, and a method of manufacturing the display assembly are disclosed. Antenna performance in, e.g., mobile devices is improved via a robust and multifunctional multi-layer glass structure for a display of the mobile device or the like which allows placing auxiliary antenna elements between layers of the display structure. The structure allows placing the auxiliary antenna elements at different positions within it. The auxiliary antenna elements can be placed under and/or within the display, instead of, for example, surrounding the display. The multi-layer structure is continuous from the display surface to the substrate and gives freedom to place the auxiliary antenna elements, including metal elements, between any layers of the structure.

Abstract: A millimeter-wave (mmWave) assembly (1) comprising a first mmWave module (2), a second mmWave module (3), and a connector (4) configured to releasably interconnect the first mmWave module (2) and the second mmWave module (3). The connector (4) comprises a first connector element (5) associated with the first mmWave module (2). The first mmWave module (2) comprises a first substrate (7) and an mmWave radio frequency integrated circuit (RFIC) (8), and the second mmWave module (3) comprises a second substrate (9) and an mmWave antenna array (10). The connector (4) is configured to transmit at least one signal between the mmWave RFIC (8) and the mmWave antenna array (10) when the first mmWave module (2) and the second mmWave module (3) are interconnected.

Abstract: A modular and electromechanically integrated easy-entry mechanism includes an easy-entry mechanism, manufactured independently of slide rail assemblies, and mounted on upper slide rails in the slide rail assemblies by fasteners. A total travel of slide rails is divided into a comfort travel for front-rear adjustment of a passenger and an easy-entry travel for increasing an easy-entry/exit space for a passenger in the third row seating. The unlocking of the slide rails is mechanically maintained in the easy-entry travel, and the slide rails are ensured to be locked at the front-most position of the comfort travel when a seat is retracted. The easy-entry mechanism is driven manually or by electric power, and acts independently on unlocking pins in slide rail locking mechanisms to unlock the slide rail assemblies. The easy-entry mechanism is modularly designed, easy to manufacture, mount, and replace, and does not affect the existing slide rail manufacturing process.

Abstract: Described are techniques for machine learning library management. The techniques include generating a table including a plurality of machine learning libraries and their current versions that are used in a deployed machine learning platform (MLP) instance, a first available version upgrade for a first machine learning library of the plurality of machine learning libraries, a security indication associated with the first available version upgrade relative to a current version implemented by the first machine learning library, and a compatibility indication between the first available version upgrade and the current version of the first machine learning library. The techniques further include generating a recommendation related to upgrading the first machine learning library based on the security indication and the compatibility indication.

Abstract: A millimeter-wave antenna arrangement (1) comprising at least one first antenna array (2), said first antenna array (2) comprising a plurality of antenna elements (2a) such as patch antennas, and an artificial dielectric structure (3) superposed over said first antenna array (2). Said artificial dielectric structure (3) comprises a plurality of conductor layers (4) separated by dielectric layers (5), each conductor layer (4) comprising a plurality of periodically repeated conductor patterns (6). One conductor pattern (6) of each conductor layer (4) is associated with one of said antenna elements (2a), and the conductor patterns (6) associated with one antenna element (2a) are at least partially non-identical. Said artificial dielectric structure (3) has an artificial dielectric constant, and each dielectric layer has a natural dielectric constant, said artificial dielectric constant depending at least partially on the natural dielectric constants and preferably having a value between 10-30.

Abstract: Described are techniques for machine learning library management. The techniques include generating a table including a plurality of machine learning libraries and their current versions that are used in a deployed machine learning platform (MLP) instance, a first available version upgrade for a first machine learning library of the plurality of machine learning libraries, a security indication associated with the first available version upgrade relative to a current version implemented by the first machine learning library, and a compatibility indication between the first available version upgrade and the current version of the first machine learning library. The techniques further include generating a recommendation related to upgrading the first machine learning library based on the security indication and the compatibility indication.

Abstract: This application discloses an encoding method, a decoding method, and a device. The encoding method includes: determining an index of an intra prediction mode syntax element value set of a current picture block; performing, by using a neural network, probability estimation on input data that represents a feature of the current picture block, to obtain probability distribution of a plurality of candidate intra prediction mode syntax element value sets, where the probability distribution represents respective probability values of the plurality of candidate intra prediction mode syntax element value sets; and performing entropy encoding on a probability value related to the index of the intra prediction mode syntax element value set of the current picture block based on the probability distribution of the plurality of candidate intra prediction mode syntax element value sets, to obtain a bitstream.

Abstract: A conveyance unit mounted to a machine for initial processing of natural raw rubber into aged rubber product, includes: a discharge delivery belt connected with the machine to receive the aged rubber product; a vibration delivery device connected to the discharge delivery belt to selectively delivery the aged rubber product from the discharge delivery belt; a drying and cooling device, comprising an elongated channel body and a circulation system mounted therein, wherein the rubber product is entered from one end of the elongated channel body while being dewatered and left from the other end of the elongated channel body, wherein the circulation system is operated to provide wind inside the elongated channel body for drying and cooling the rubber product; and a cutting device connected to the elongated channel body of the drying and cooling device to cut the dried rubber product into aged product.

Abstract: A computer-implemented system, platform, programing product, and/or method for improving transformation selection in an ensemble machine learning (ML) model that includes: providing all base ML models of the ensemble ML model; identifying all of a plurality of Derived Fields in all the base ML models; performing a Derived Field run prediction analysis for all the Derived Fields; computing the Derived Field Importance Weight for Field (DFIW4F) and the Derived Field Importance Weight for Model (DFIW4M) for all the Derived Fields; clustering all the Derived Fields into a plurality of Derived Field clusters, wherein each Derived Field cluster is based upon the DFIW4M and the DFIW4F for the Derived Field; sorting all the Derived Field clusters by best cluster based upon DFIW4M and DFIW4F; and running the base ML models based upon the Derived Fields in the best Derived Field cluster until sufficient base ML models have been run.

Abstract: A method for piercing a titanium alloy solid billet, the method including: 1) providing a Mannesmann rotary piercer including two rollers, a feed channel, a plurality of centering devices, and a mandril including a plug; fixing the mandril using the plurality of centering devices, where the Mannesmann rotary piercer has a feeding angle of 6-18°, a cross angle of 15°, and a roll speed of 30-90 rpm; 2) heating a titanium alloy solid billet to 930-990° C.; 3) transferring the titanium alloy solid billet to the feed channel of the Mannesmann rotary piercer; and 4) aligning the titanium alloy solid billet with the plug of the mandril, and driving the titanium alloy solid billet to pass through the plug of the mandril, thereby piercing the titanium alloy solid billet and yielding a titanium alloy tube.

Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A fracturing apparatus includes a motor, a first plunger pump, a power supply platform, a gas turbine engine, a generator, and one or more rectifiers. At least two of the gas turbine engine, the generator, and the one or more rectifiers are arranged on the power supply platform. A first end of the generator is connected to the gas turbine engine. A second end of the generator is connected to the one or more rectifiers. The generator is configured to output a voltage to the one or more rectifiers. The one or more rectifiers are configured to provide power to the motor.

Abstract: The present disclosure provides a method and an apparatus for testing a memory chip, and a storage medium, and belongs to the technical field of semiconductors. The method for testing a memory chip includes: writing test data into a memory cell of a to-be-tested memory chip; reading stored data from the memory cell; and generating a test result of the to-be-tested memory chip based on the test data and the stored data; wherein in the reading stored data from the memory cell, a row address strobe precharge time is less than a standard row address strobe precharge time of the to-be-tested memory chip, and/or a current sensing delay time of the to-be-tested memory chip is less than a standard sensing delay time of the to-be-tested memory chip.