Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: The present disclosure relates to a method for improving the yield and production intensity of Gluconobacter oxydans (G. oxydans) sorbose, and belongs to the technical field of fermentation engineering. By knocking out genes related to formation of D-sorbitol or L-sorbose metabolic by-products in G. oxydans, the formation of the by-products is reduced, and the efficiency of transforming D-sorbitol into L-sorbose is improved, thereby improving the yield and production intensity of L-sorbose. A recombinant strain G. oxydan-11 constructed by the present disclosure, compared with a control strain, has an L-sorbose transformation rate of 96.12%, which is 4.47% higher than that of a wild strain, has a production intensity of 14 g/L·h, which is 14.7% higher than that of the wild strain, and has a fructose by-product content of only 5.6 g/L, which is 45.6% lower than that of the wild strain.

Abstract: Generally discussed herein are devices, systems, and methods for visualization of user intent in accessing a virtual agent. A method can include receiving sentences from the respective interaction sessions, projecting the sentences to a higher-dimensional space to create respective higher-dimensional vectors, projecting the higher-dimensional vectors to a lower-dimensional space to create respective lower-dimensional vectors, the lower-dimensional space including either two dimensions or three dimensions, plotting the lower-dimensional vectors as respective points on a graph, encoding the respective points consistent with the respective intents determined to be associated with the sentences by an intent classifier to create encoded points, and generating a visual representation of the encoded points.

Abstract: Systems and methods for machine comprehension are provided. In example embodiments, a machine accesses a context and a question related to the context. The machine determines a low-level meaning of the question and a low-level meaning of the context, the low-level meaning corresponding to words or phrases. The machine determines a high-level meaning of the question and a high-level meaning of the context, the high-level meaning corresponding to sentences or paragraphs. The machine computes, for each position i in the context, a first probability that an answer to the question starts at the position i. The machine computes, for each position j in the context, a second probability that the answer to the question ends at the position j. The machine determines the answer to the question based on the computed first probabilities and the computed second probabilities.

Abstract: The invention provides a high-throughput screening system based on multi-manipulators, and belongs to the field of biotechnology and detection equipment. A high-throughput screening system based on multi-manipulators, comprises of the first manipulator, sampler, pipette, plate washer, microplate reader, the second manipulator, centrifuge, deep-well plate library, waste shallow-well plate barrel, shallow-well plate library, waste needle plate barrel, needle library, waste deep-well plate barrel, collection box. The present invention is a combination of microbiology and mechanics. The aim of the invention is to realize the automation and intelligentization of the high throughput screening experiment, effectively improve the experimental accuracy, reliability and efficiency. It contributes to the development of high throughput screening technology for microorganisms and drugs.

Abstract: The present invention provides a production-line-type high-throughput screening system, which relates to the field of biotechnology and testing equipment. The system comprises of four manipulators, three parallel conveyor belts with fixed slots, 2-DOF slipway and fixed fixtures, 96-channel pipetting system, coloring device, oscillating mixing device, microplate reader, well plates loading platform and well plates recycling platform. Manual operation takes five minutes to detect one 96-well plate, while this system can handle 20 96-well plates per minute. It expands the number of screening targets, making the screening process more clearly and concisely and liberating manual labor. The system makes effective contributions to the development of microbial breeding technology.

Abstract: The invention provides a high-throughput screening system based on a single manipulator, and belongs to the field of biotechnology and detection equipment. A high-throughput screening system based on single manipulator, comprises of one manipulator which is surrounded by deep well plate loading platform, shallow well plate loading platform, pipetting head loading platform, control cabinet, waste pipetting heads container platform, shallow well plate recycling platform, deep well plate recycling platform, Microplate Reader with oscillating mixer and items-placing platform in a counterclockwise or clockwise order. The present invention is a combination of microbiology and mechanics. It promotes the automation of microbial high-throughput screening system for screening microorganisms with specific properties. It effectively contributes to the development of microbial breeding technology and further promotes the development of microbial science.

Abstract: The present invention provides a method for producing an anti-EGFR monoclonal antibody and the applications thereof. The method comprises the steps of: designing and synthesizing the light chain and heavy chain according to the codons preferred by Chinese hamster, transfecting GS knockout host cells CHO-CR-GS?/?, culturing cells using serum-free technology, isolating and purifying the antibody, and obtaining the low immunogenicity CMAB009 antibody.

Abstract: Conversational virtual assistance for delivering relevant query solutions is provided. A virtual assistant system comprises various components associated with developing a knowledge database that can be searched for finding documents that fulfill the user's intent. The virtual assistant system further comprises components for receiving a query from a user, extracting entities for understanding the user's intent, and for searching a knowledge database for documents responsive to the query. When additional information is needed for determining more relevant results, a conversation strategy is determined, and a question is formulated for generating a conversation with the user for clarifying the user's intent, confirming a solution, or obtaining additional information. The user is enabled to provide a follow-up response that is related to a previously identified entity. The entity is edited in the query, and responses are refined responsive to the edited query.

Abstract: The present disclosure provides a method for extracting alpha-ketoglutarate and pyruvate simultaneously from microbial fermentation broth or enzyme transformation solution, which is related to the technical field of biological separation and extraction.

Abstract: Techniques for iterative query-based analysis of text are described. According to various implementations, a neural network architecture is implemented receives a query for information about text content, and iteratively analyzes the content using the query. During the analysis a state of the query evolves until it reaches a termination state, at which point the state of the query is output as an answer to the initial query.

Abstract: The present invention provides a method for producing an anti-EGFR monoclonal antibody and the applications thereof. The method comprises the steps of: designing and synthesizing the light chain and heavy chain according to the codons preferred by Chinese hamster, transfecting GS knockout host cells CHO-CR-GS?/?, culturing cells using serum-free technology, isolating and purifying the antibody, and obtaining the low immunogenicity CMAB009 antibody.

Abstract: A method for machine learning a data set in a data processing framework is disclosed. A forest is trained with the data set that generates a plurality of trees in parallel. Each tree includes leaf nodes having a constant weight. A discriminative value for each leaf node is learned with a supervised model. The forest is reconstructed with the discriminative values replacing the constant weight for each leaf node.

Abstract: The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.

Abstract: The present invention provides methods for enhancing ?-KG production in Yarrowia lipolytica, relates to the field of metabolic engineering. This invention successfully overexpresses the glutamate dehydrogenase in wild type strain Y. lipolytica WSH-Z06 to construct the recombinant Y. lipolytica WSH-Z06 which regulates the glutamate catabolism to synthesis ?-KG. L-methionine imine is added into the fermentation medium during the process to strengthen the supply of intracellular glutamate and inhibite the intracellular glutamine synthesis from glutamate metabolism and then enhance the accumunation of ?-KG. Therefor, the present invention provides an effective method for enhancing the accumunation of ?-KG through regulation of intracellular amino acid metabolism.

Abstract: A method for machine learning a data set in a data processing framework is disclosed. A forest is trained with the data set that generates a plurality of trees in parallel. Each tree includes leaf nodes having a constant weight. A discriminative value for each leaf node is learned with a supervised model. The forest is reconstructed with the discriminative values replacing the constant weight for each leaf node.

Abstract: Structures for III-nitride GaN high electron mobility transistors (HEMT), method for fabricating for GaN devices and integrated chip-level power systems using the GaN devices are provided. The GaN HEMT structure includes a substrate, an AlGaN/GaN heterostructure grown on the substrate, and a normally-off GaN device fabricated on the AlGaN/GaN heterostructure. The AlGaN/GaN heterostructure includes a GaN buffer layer and an AlGaN barrier layer. The integrated chip-level power system includes a substrate, an AlGaN/GaN heterostructure layer grown on the substrate and a plurality of GaN devices. The AlGaN/GaN heterostructure layer includes a GaN buffer layer and an AlGaN barrier layer and is formed into mesa areas and valley areas. Each of the plurality of GaN devices are fabricated on a separate one of the mesa areas.

Abstract: Methods, systems, and media are provided for a dynamic batch strategy utilized in parallelization of online learning algorithms. The dynamic batch strategy provides a merge function on the basis of a threshold level difference between the original model state and an updated model state, rather than according to a constant or pre-determined batch size. The merging includes reading a batch of incoming streaming data, retrieving any missing model beliefs from partner processors, and training on the batch of incoming streaming data. The steps of reading, retrieving, and training are repeated until the measured difference in states exceeds a set threshold level. The measured differences which exceed the threshold level are merged for each of the plurality of processors according to attributes. The merged differences which exceed the threshold level are combined with the original partial model states to obtain an updated global model state.

Abstract: A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.