Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.

Abstract: Dynamic modeling for detecting and classifying defects of fabricated substrates, such as semiconductor substrates. A model includes pixel-by-pixel distributions of pixel data that define a range of known acceptability for substrates based on images of those substrates. The range of acceptability can be defined between upper and lower thresholds. The model is dynamically updated as new imaging data of substrates is obtained, and particularly new imaging data for which an imaging factor not relevant to substrate acceptability has changed. The model can be updated by shifting one or more of the thresholds for one or more of the pixels.

Abstract: Systems and methods for improving substrate fabrication are provided. Subsets of dies of substrates may be inspected at various points in the fabrication process to generate spectra data. The spectra data can be used to generate data that are input to a machine learning model to predict yields for the substrates.

Abstract: A microelectromechanical systems (MEMS) diaphragm assembly comprises a first diaphragm and a second diaphragm. A plurality of pillars connects the first and second diaphragms, wherein the plurality of pillars has a higher distribution density at a geometric center of the MEMS diaphragm assembly than at an outer periphery thereof.

Abstract: A method and an apparatus for extracting a skill label, and a method and an apparatus for training a candidate phrase classification model are provided. The method for extracting the skill label includes obtaining a plurality of words by performing word segmentation on a sentence to be extracted, and determining a multi-dimensional feature vector of each word; extracting a candidate phrase from the sentence to be extracted; determining a multi-dimensional feature vector of each word in the candidate phrase according to the multi-dimensional feature vector of each word; generating a semantic representation vector of the candidate phrase according to the multi-dimensional feature vector of each word in the candidate phrase; and extracting the skill label from the sentence to be extracted based on the semantic representation vector of the candidate phrase.

Abstract: A MEMS diaphragm assembly comprises a first diaphragm, a second diaphragm, and a stationary electrode assembly spaced between the first and second diaphragms and including a plurality of apertures disposed therethrough. Each of a plurality of pillars is disposed through one of the plurality of apertures and connects the first and second diaphragms. At least one of the first and second diaphragms is connected to the stationary electrode assembly at a geometric center of the assembly.

Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.

Abstract: A computer-implemented method includes analyzing, by a processing unit, a relational database to discover a plurality of static relationships between a plurality of data fields captured in two or more tables. The processing unit can discover a plurality of entity relationships based on observing application-generated queries and results of accessing the relational database in response to one or more test triggers. The processing unit can build one or more relation graphs based on the static relationships and the entity relationships to link a plurality of nodes with one or more edges that define at least one relationship between the nodes. One or more class graphs are formed having a reduced number of edges than the one or more relation graphs. The processing unit can generate one or more result data graphs using the one or more class graphs as a graph database model of the relational database.

Abstract: A computer-implemented method includes analyzing, by a processing unit, a relational database to discover a plurality of static relationships between a plurality of data fields captured in two or more tables. The processing unit can discover a plurality of entity relationships based on observing application-generated queries and results of accessing the relational database in response to one or more test triggers. The processing unit can build one or more relation graphs based on the static relationships and the entity relationships to link a plurality of nodes with one or more edges that define at least one relationship between the nodes. One or more class graphs are formed having a reduced number of edges than the one or more relation graphs. The processing unit can generate one or more result data graphs using the one or more class graphs as a graph database model of the relational database.

Abstract: A device and a method for recovering by-product oxygen from water-electrolysis hydrogen production using a low-temperature method are provided, solving the waste problem of by-product oxygen in the green water-electrolysis hydrogen production system. The device according to the present disclosure comprises an oxygen clarifying system, a pressurizing and heat exchanging system, and a circulating gas compression and expansion refrigeration system. The recovering method according to the present disclosure comprises the following steps: first clarifying and purifying the by-product oxygen from water-electrolysis hydrogen production is to remove hydrogen, carbon monoxide, carbon dioxide, water and other impurities in the oxygen; and then, liquefying, pressurizing and heat exchanging the pure oxygen to obtain the product oxygen and liquid oxygen with required pressure. In the whole process, the cooling capacity is provided by the circulating gas expansion refrigeration system.

Abstract: Methods and systems for photopatterning and miniaturization. In some examples, a method for patterning a substrate includes irradiating a pattern onto the substrate with ultraviolet light and heating the substrate, causing the substrate and the pattern to shrink in at least one dimension to form a miniaturized pattern on the substrate. In some examples, a system for patterning a substrate includes an ultraviolet light source, a heater, and a controller configured for irradiating a pattern onto the substrate with ultraviolet light and heating the substrate, causing the substrate and the pattern to shrink in at least one dimension to form a miniaturized pattern on the substrate.

Abstract: A microelectromechanical systems (MEMS) diaphragm assembly comprises a first diaphragm and a second diaphragm. A plurality of pillars connects the first and second diaphragms, wherein the plurality of pillars has a higher distribution density at a geometric center of the MEMS diaphragm assembly than at an outer periphery thereof.

Abstract: A method for training a course recommendation model, a method for course recommendation, and an apparatus, which relate to a field of big data and deep learning in a field of artificial intelligence technology, and can be applied to recommendation scenarios. The training method includes: obtaining a sample data set, where the sample data set includes user learning data, the user learning data includes record data and ability label data, the record data is used for representing a historical learning process of a sample user, and the ability label data is used for representing a learning ability level of the sample user, and training and generating the course recommendation model according to the user learning data, where the course recommendation model is used for recommending a course for a user, the technical effect of improving the reliability and accuracy of course recommendation is achieved.

Abstract: The invention discloses a water and gas dual-purpose electric erection aid which comprises a vacuum barrel and a device bin arranged at the top of the vacuum barrel, wherein the device bin comprises a seal cover which covers one end of the vacuum barrel and a pump valve pipeline mechanism arranged in the seal cover and used for vacuumizing or releasing vacuum of the interior of the vacuum barrel; the device bin is fixedly installed with a button control assembly via a support frame, and the inner wall of the open groove is tightly attached to the outer wall of the button control assembly; and the pump valve pipeline mechanism is communicated with two connection ports formed in the top end of the vacuum barrel and a vent cover fixedly arranged on the seal cover through a connecting pipe. The erection aid not only can be used in air, but also can be used underwater.

Abstract: A method for correcting misalignments is provided. An alignment for each device of a group of devices mounted on a substrate is determined. An alignment error for the group of devices mounted on the substrate is determined based on the respective alignment for each device. One or more correction factors are calculated based on the alignment error. The alignment error is corrected based on the one or more correction factors.

Abstract: Disclosed are compositions and methods that enable loop-mediated isothermal amplification (LAMP) of one or more nucleic acid targets without the need for conventional LAMP primer design customized to each target. A transduction reaction is performed upstream from the LAMP reaction. The transduction reaction generates a single stranded DNA (ssDNA) oligonucleotide when the target nucleic acid is present in the sample. The ssDNA generated in the transduction reaction functions as a required LAMP primer for a universal LAMP template. The ssDNA thus promotes the LAMP reaction. Analysis of the LAMP products can determine the presence of the one or more nucleic acid targets.

Abstract: A preparation method of Antrodia cinnamomea water-insoluble dietary fiber. After ethanol and water extraction, Antrodia cinnamomea wastes are dried and superfine-comminuted to obtain Antrodia cinnamomea waste powder. The waste powder treated with NaOH solution containing NaBH4 is extracted it twice to obtain two extracts. The two extracts are combined and an appropriate amount of glacial acetic acid are added for neutralization. The extracts are centrifugalized and precipitate is collected. After washing the precipitate with ultrapure water, the precipitate is dissolved with LiCl-DMSO. The precipitate that is insoluble in the LiCl-DMSO solution is dialyzed and freeze-dried to obtain the water-insoluble dietary fiber component ACA-IDK of Antrodia cinnamomea. The LiCl-DMSO solution is subjected to ethanol/DMSO fractional precipitation, and then the precipitate is collected and dialyzed. The water-insoluble dietary fiber component ACA-DK of Antrodia cinnamomea is obtained after freeze-drying.

Abstract: A Lactobacillus plantarum strain AR113 with protection effect on apoplexy. The Lactobacillus plantarum strain AR113 deposited in China General Microbiological Culture Collection Center (CGMCC) under CGMCC Accession No. 13909 on Mar. 22, 2017. The Lactobacillus plantarum AR113 strain can increase the antioxidant enzyme activity of brain tissue, reduce the level of oxidation products, activate the Nrf-ARE signal pathway, and regulate the relative expression of antioxidant factors Nrf2, NQO-1, and HO-1. Additionally, it can down-regulate the mRNA expression of pro-apoptotic factors Cyt-C, Caspase-3 and Bax, and up-regulate the relative expression of anti-apoptotic factor Bcl-2, thereby improving brain cell damage caused by cerebral ischemia and reperfusion.

Abstract: Disclosed is a method for installing a groundwater monitoring well inside a permeable reactive barrier (PRB) trench including excavating a PRB trench, installing a trench side-wall support, positioning a monitoring well borehole, installing an outer installation casing for pre-burying the monitoring well, installing a monitoring well positioning bracket, installing a monitoring well casing, installing monitoring well filter packs and seal materials, filling the trench with PRB media and capping with a covering soil layer, removing the outer installation casing, removing the trench side-wall support, completing the monitoring well with a wellhead, and conducting well development.

Abstract: The present invention discloses a preparation method of a catalyst with white carbon black modified by Zr—Nd—O and use thereof, and belongs to the field of catalyst technologies. In the present invention, an organic solvent evaporation induced self-assembly method is used to load Zr—Nd—O onto white carbon black to obtain a mesoporous Zr—Nd—O/white carbon black catalyst. The mesoporous Zr—Nd—O/white carbon black catalyst in the present invention has high catalytic activity, contains uniformly distributed mesopores with a relatively large average aperture, and has a simple preparation process, etc.