Abstract: Provided in the present disclosure is a four-wheel drive multi-gear hybrid power transmission system, including a first drive system and a second drive system that drive two pairs of wheels of a vehicle respectively, where the first drive system includes an engine, a first motor, an input shaft, a first motor shaft, a first output shaft, a first synchronizer, a second synchronizer, and a plurality of gear sets, and the first motor has two gear positions; and the second drive system is an electric drive axle. According to the present disclosure, one motor is reduced, which significantly lowers costs, and multi-gear shifting can be implemented, which improves the fuel consumption economy of the engine and can cope with various working conditions.

Abstract: A summary generation and summary selection system is disclosed that is capable of automatically evaluating multiple summaries generated for content and selecting a single summary that is deemed to be the “best” among the multiple generated summaries. The system includes capabilities to use multiple different selection techniques to select the best summary from multiple generated summaries. A first selection technique involves identifying entities and entity relationships from the content to be summarized and selecting a summary from multiple summaries generated for the content based on the entities and entity relationships identified in the content. A second selection technique involves determining a set of questions that are answered by each summary. The technique then selects a summary based upon the set of questions answered by each summary. The system then outputs the selected summary as the summary for the content.

Abstract: Techniques for time-bound hyperparameter tuning are disclosed. The techniques enable the determination of optimized hyperparameters for a machine learning (ML) model given a specified time bound using a three-stage approach. A series of trials are executed, during each of which the ML model is trained using a distinct set of hyperparameters. In the first stage, a small number of trials are executed to initialize the algorithm. In the second and third stages, a certain number of trials are executed in each stage. The number of trials to run in each stage are determined using one or more computer-implemented techniques. The computer-implemented techniques can also be used to narrow the hyperparameter search space and the feature space. Following the third stage, a set of optimized hyperparameters is adopted based a predefined optimization criterion like minimization of an error function.

Abstract: A summary generation system is disclosed that is configured to generate a summary for content to be summarized by identifying relevant chunks of information from the content to be summarized using a large language model (LLM) and a set of questions. The set of questions enable the system to identify and retrieve relevant chunks of information. Each question undergoes a translation or transformation process to generate multiple question variants for each question. The multiple question variants are used by the system to optimize the search to obtain relevant chunks of information. Then, using the multiple question variants and an LLM, the system extracts information (i.e., answers) from the relevant chunks of information. The summary generation system then collates the answers to create an accurate and comprehensive summary for the content to be summarized.

Abstract: Techniques for multi-output model forecasting are provided herein. An example method can include a computing system receiving a request to forecast a value for a variable at a future time point based upon a time series, the time series comprising a sequence of data points, each data point in the sequence of data points identifying a time point and at least one value associated with the time point. The computing system can predict, using a first trained machine learning model and based upon the times series, a plurality of forecast values for the future time point, the plurality of forecast values including: a first forecast value forecasted for the variable at the future time point; and a set of one or more forecast attribute values for one or more attributes of the time series, each of the set of one or more forecast attribute values predicted for the future time point.

Abstract: The following six methods included in a method package for hazardous substances in fiber products is stored beforehand in a method storage section (26): simultaneous analysis method for specific aromatic amines, simultaneous analysis method for the first group of azo dyes, simultaneous analysis method for the second group of azo dyes, simultaneous analysis method for PFCs, simultaneous analysis method for AP, and simultaneous analysis method for APEO. Each analysis method includes analysis conditions and parameters which are suitable for a simultaneous analysis of a specific category of hazardous substances, e.g. azo dyes. An analysis condition setter (25) lists the six analysis methods on a display unit (28), from which an operator selects one analysis method to be executed. The operator also prepares mobile phases and a column specified for each analysis method.

Abstract: Disclosed herein is a cathodic electrodeposition coating composition, which includes (A) a cationic amino-containing epoxy resin, (B) a blocked polyisocyanate having neutralized amine, which is obtained by a process including steps of (i) reacting a polyurethane prepolymer containing isocyanate groups with at least one blocking agent selected from the group consisting of oximes, pyrazoles and active methylene compounds, to provide a partially blocked polyisocyanate, (ii) reacting remaining isocyanate groups in the partially blocked polyisocyanate with an amine compound having active hydrogen, to provide an amine-containing blocked polyisocyanates, and (iii) neutralizing the amine-containing blocked polyisocyanates with an acid, and (C) a curing catalyst. Further disclosed herein are a process for preparing the cathodic electrodeposition coating composition, and a coating bath for the cathodic electrodeposition including the cathodic electrodeposition coating composition.

Abstract: Disclosed herein is a method of dispersing a self-emulsifying crosslinker including at least two steps: i) preparing an aqueous acid dispersion (I) of a self-emulsifying crosslinker, and the microstructure of liquid phase of the aqueous acid dispersion (I) is water-in-oil; and ii) adding water into the aqueous acid dispersion (I) to obtain an aqueous acid dispersion (II), and the microstructure of liquid phase of the aqueous acid dispersion (II) is oil-in-water. Additionally disclosed here is a self-emulsifying crosslinker dispersion prepared by the method and the self-emulsifying crosslinker dispersion has a Z-average particle size in a range of from 50 to 200 nm.

Abstract: Techniques are described herein for cold-start forecasting datasets using backcasting and composite embedding. An example method can include a system receiving a set of time series and metadata text comprising a first subset of metadata text and a second subset of metadata text. The system can generate a plurality of embeddings, each embedding comprising a numerical representation of a metadata text of the set of metadata text. The system can generate a plurality of vectors, each vector comprising a time series of the set of time series each time series associated with a metadata text of the first subset of metadata text. The system can generate a plurality of composite embeddings based at least in part on combining each embedding with a respective vector of the plurality of vectors. The system can determine a forecasted value associated with the second subset of metadata text based on the composite embeddings.

Abstract: Techniques described herein are directed toward univariate series truncation policy using change point detection. An example method can include a device determining a first time series comprising a first set of data points indexed over time. The device can determine a first and second change point of the first time series based on a relative position and a category of the change points. The device can generate a first and second truncated time series based on the change points. The device can generate a first and second forecasted value using a first forecasting technique. The device can compare the first forecasted value and the second forecasted value using a second time series. The device can select one of the forecasting techniques to generate a final forecasted value based on the comparison. The device can generate, using the selected first forecasting technique, the final forecasted value.

Abstract: Techniques are described herein for forecasting datasets using blend of temporal aggregation and grouped aggregation. An example method can include a device accessing a first and second time series, comprising a first data point associated with a first time step and a first value and a second data point associated with a second time step and a second value. The method can further include the device determining a grouped aggregated data point using the first and second time series by aligning the first and second data point. The method can further include the device determining the grouped aggregated data point by summing the first and second value. The method can further include determining a grouped aggregated time series. The method can further include the device determining a first set of input values for a machine learning model. The method can further include the device determining a first forecasted future value.

Abstract: In accordance with an embodiment, systems and methods are provided for two-tier reporting for cloud computing realms. An exemplary method can deploy a central instance of an analytics service in a central cloud realm. The method can further deploy a respective instance of the analytics service in each of a plurality of cloud realms. The method can implement a respective different data pipeline for each deployed respective instance of the analytics service, wherein a respective different data pipeline is configured to perform at least one of ingest or transform data for the deployed respective instance of the analytics service, said data being descriptive of use of services associated with a respective cloud realm of the plurality of cloud realms.

Abstract: A large number of kinds of azo compounds which are representative hazardous substances in fiber products are divided into two groups. The compounds included in the first group are detected by an MRM measurement by a tandem mass spectrometer unit (12) in a measurement section (10) while a two-liquid gradient elution under an acidic condition is performed in a liquid chromatograph unit (11), using an aqueous ammonium acetate solution as mobile phase A, and a mixture of acetonitrile and an aqueous ammonium acetate solution as mobile phase B. On the other hand, the compounds included in the second group are detected by an MRM measurement while a two-liquid gradient elution under a neutral or weakly basic condition is performed using an aqueous ammonium bicarbonate solution as mobile phase A and acetonitrile as mobile phase B. An exhaustive quantitative analysis for major azo compounds can be achieved by performing the two analyses for the same sample.

Abstract: A method for reducing frequency interference, and a communication satellite system. The method includes configuring the communication satellite system, determining a first range of areas in which a spatial isolation angle between the LEO satellite and the GEO satellite does not satisfy a minimum spatial isolation angle within service areas of the movable spot beams, enabling the movable spot beams to not enter the areas, and when the movable spot beams of the transmitting and receiving user antennas of multiple adjacent LEO satellites provide services to a same area, calculating a spatial isolation angles between the movable spot beams of the transmitting and receiving user antennas of any two adjacent LEO satellites, and in response to the spatial isolation angle not satisfying the minimum spatial isolation angle, assigning different sub-frequencies to the movable spot beams that do not satisfy the minimum spatial isolation angle.

Abstract: A 5000-series aluminum alloy expanded material which does not undergo the occurrence of welding cracks even when the aluminum alloy expanded material is subjected to high-speed welding utilizing laser welding or the like; a welding-joined body comprising the aluminum alloy expanded material; and a method for efficiently welding the aluminum alloy expanded material. An aluminum alloy expanded material for welding use, which is characterized by having an Mg content of 0.2% by mass or more and less than 6.0% by mass, and containing a surface active element capable of reducing the surface tension of molten aluminum, in which the surface active element comprises at least one element selected from Sr, Ca, Sb, Li and Ba, and the content of the surface active element is 0.08 to 0.50% by mass inclusive.

Abstract: A method for reducing frequency interference, and a communication satellite system. The method includes configuring the communication satellite system, determining a first range of areas in which a spatial isolation angle between the LEO satellite and the GEO satellite does not satisfy a minimum spatial isolation angle within service areas of the movable spot beams, enabling the movable spot beams to not enter the areas, and when the movable spot beams of the transmitting and receiving user antennas of multiple adjacent LEO satellites provide services to a same area, calculating a spatial isolation angles between the movable spot beams of the transmitting and receiving user antennas of any two adjacent LEO satellites, and in response to the spatial isolation angle not satisfying the minimum spatial isolation angle, assigning different sub-frequencies to the movable spot beams that do not satisfy the minimum spatial isolation angle.

Abstract: A wrought 6000-series aluminum alloy material which is suppressed in weld cracking even in cases where high-speed welding is performed by means of laser welding or the like; a welded body which contains the wrought aluminum alloy material; and an efficient welding method for the wrought aluminum alloy material. A wrought aluminum alloy material for welding, the wrought aluminum alloy material being characterized in that: the Si content is not less than 0.3% by mass but less than 2.0% by mass; the Mg content is not less than 0.3% by mass but less than 2.0% by mass; a surface active element which decreases the surface tension of molten aluminum is contained therein; the surface active element is at least one of Sr, Ca, Sb, Li and Ba; and the content of the surface active element is from 0.04% by mass to 0.50% by mass.

Abstract: The present invention discloses potassium sodium bismuth niobate tantalate zirconate ferrite ceramics with non-stoichiometric Nb5+ and a preparation method therefor. A ceramic powder with a general formula of (K0.45936Na0.51764Bi0.023)(Nb0.89958+0.957xTa0.05742Zr0.04Fe0.003)O3 (?0.01?x?0.04) is prepared by a traditional solid phase method; and then piezoelectric ceramics are prepared by traditional electronic ceramic preparation processes such as granulating, molding, binder removal, sintering and silvering test. An excessive amount of Nb5+ doping improves the temperature stability of the ceramics by providing a domain wall pinning effect. This result demonstrates the promise of potassium sodium bismuth niobate tantalate zirconate ferrite ceramics for a wide range of applications, including sensors, actuators, and other electronic devices.

Abstract: The present invention discloses potassium sodium bismuth niobate tantalate zirconate ferrite ceramics with non-stoichiometric Nb5+ and a preparation method therefor. A ceramic powder with a general formula of (K0.45936Na0.51764Bi0.023)(Nb0.89958+0.957xTa0.05742Zr0.04Fe0.003)O3 (?0.01?x?0.04) is prepared by a traditional solid phase method; and then piezoelectric ceramics are prepared by traditional electronic ceramic preparation processes such as granulating, molding, binder removal, sintering and silvering test. An excessive amount of Nb5+ doping improves the temperature stability of the ceramics by providing a domain wall pinning effect. This result demonstrates the promise of potassium sodium bismuth niobate tantalate zirconate ferrite ceramics for a wide range of applications, including sensors, actuators, and other electronic devices.