Abstract: The disclosure relates to technology for determining vehicle environment interaction metrics and/or passenger behavioral metrics for autonomous vehicles in a driving environment. A group of one or more autonomous vehicles independently determine a VEI score for a target vehicle within a predefined vicinity of the group of one or more vehicles. A target vehicle may determine a VPB score based on passengers within the target vehicle. VEI scores and/or VPB scores determined for a target vehicle may be used by the target vehicle to reinforce and/or correct driving actions of the target vehicle.

Abstract: Disclosed in the present application are a concrete protection material, and a preparation method and a construction method therefor. The concrete protection material consists of 50%-90% of a component A and 10%-50% of a component B in percentage by weight, where the component A is prepared from 30%-65% of organic silicon, 2%-5% of nano-silicon dioxide and the balance of an organic solvent in percentage by weight; and the component B is prepared from 20%-50% of an organic base and the balance of water in percentage by weight. The present application not only can form nano-particles having a strengthening effect in capillary channels of a concrete surface layer, but also can achieve a technical effect of superhydrophobicity on the concrete surface layer.

Abstract: A phase shifter is provided to include: a first substrate, a second substrate, a dielectric layer, a transmission line, a ground electrode and at least one auxiliary electrode, where the first substrate and the second substrate are opposite to each other, the dielectric layer is between the first substrate and the second substrate, the transmission line is between the second substrate and the dielectric layer, the auxiliary electrode is between the first substrate and the dielectric layer, and the ground electrode is on a side of the second substrate distal to the dielectric layer; a dielectric constant of the dielectric layer changes with a voltage between the auxiliary electrode and the transmission line; an orthographic projection of the transmission line on the first substrate overlaps with an orthographic projection of the auxiliary electrode on the first substrate.

Abstract: A tuning method for a collimator of a CT machine, which, in each cycle of X-ray scan operation and stop, may include determining whether an X-ray is generated from the anode plate; calculating the Z-direction heating displacement of the slot plate during the current scan based on a detected X-ray, driving the slot plate to move by the heating displacement in the Z-direction, calculating the total Z-direction heating displacement of the slot plate at the end of the current scan, calculating the cooling displacement of the slot plate during the current stop based on the stop time of the X-ray, and driving the slot plate to move.

Abstract: Machine learning model training is provided. A model training result of a machine learning model is predicted utilizing a classification model based on a plurality of different combinations of input data set properties, settings of the machine learning model, and machine learning model training environment properties. Model training duration of the machine learning model is predicted utilizing a regression model based on those combinations that had a predicted successful model training result. Capacity unit hours is determined for each respective combination having the predicted successful model training result based on a corresponding predicted model training duration of the machine learning model. A particular combination of input data set properties, settings of the machine learning model, and machine learning model training environment properties that has minimum capacity unit hours is selected. The machine learning model is trained using the particular combination.

Abstract: This application is applicable to the field of intelligent vehicles, and specifically provides a projection method and apparatus, a vehicle, and an AR-HUD. The projection method includes: obtaining image information and position information of a calibration object; projecting the calibration object based on the image information and the position information of the calibration object and an imaging model; and when an overlap ratio between the calibration object and a projection plane of the calibration object is less than a first threshold, adjusting a parameter of the imaging model. According to this application, an image projected and displayed may be aligned with a real world, which improves a projection display effect.

Abstract: The disclosure provides a display panel and a display apparatus, and belongs to the field of display technology. The display panel includes a display backplane and an antenna structure; the display panel further includes a frequency selective surface on a side of the antenna structure close to a light exit surface of the display panel; the frequency selective surface is configured to transmit an electromagnetic wave with a specific frequency, so as to enhance a radiation gain of the antenna structure.

Abstract: Various embodiments of the present disclosure are directed towards a memory device including a first bottom electrode layer over a substrate. A ferroelectric switching layer is disposed over the first bottom electrode layer. A first top electrode layer is disposed over the ferroelectric switching layer. A second bottom electrode layer is disposed between the first bottom electrode layer and the ferroelectric switching layer. The second bottom electrode layer is less susceptible to oxidation than the first bottom electrode layer.

Abstract: The disclosure relates to technology for a navigation system that enhances the safety of drivers using fatigue detection mapping. The navigation system accesses data sources storing map data a route for drivers of one or more first vehicles. Based on the map data, a personalized fatigue map for a driver of a second vehicle is generated based on the map data. The personalized fatigue map displays predicted driver fatigue of the driver of the second vehicle on the route. Drivers in the first and second vehicles are monitored to detect driver fatigue and a level of the driver fatigue is measured according to a calculated fatigue score. When driver fatigue is detected, a recommendation is output to the driver of the second vehicle that is based on the level of the driver fatigue. The personalized fatigue map is updated to reflect the recommendation.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for estimating the results of a performance test on an updated software application. A method, the method comprising receiving an updated software application, wherein the size of the updated software application is a first size and generating a plurality of small probe, wherein the size of each of the small probe data is a second size, wherein the second size is less than the first size. Conducting a first performance test on the plurality of small probe data and calculating an estimated elapsed time for a performance test on the updated software application. Conducting the performance test on the updated software application and determining if the updated software is given a PASS or FAIL for the performance test, based in part on the elapsed time of the performance test on the updated software application.

Abstract: An apparatus for acquiring an image includes an image sensor, a light compensator, and a light filter assembly. The image sensor is on a light output side of the light filter assembly, and is configured to generate and output a first image signal and a second image signal by a plurality of exposures. The first image signal is generated according to a first preset exposure and the second image signal is generated according to a second preset exposure, and they are two of the plurality of exposures. The light compensator includes a first light compensation apparatus, the first light compensation apparatus is configured to perform near-infrared light compensation, and the near-infrared light compensation is performed in at least part of an exposure period of the first preset exposure but is not performed in an exposure period of the second preset exposure.

Abstract: Methods for producing oligosaccharide products such as difucosylated oligosaccharides are disclosed. The methods include culturing recombinant cells in a cell culture medium comprising L-fucose, an oligosaccharide acceptor, and a carbon source. The cells are cultured under conditions in which a first fucosyltransferase polypeptide having a first substrate selectivity (e.g., an ?1-2-fucosyltransferase polypeptide), a second fucosyltransferase polypeptide having a second substrate specificity (e.g., an ?1-3-fucosyltransferase polypeptide), a nucleotide sugar pyrophosphorylase polypeptide, a lactose transporter polypeptide, and an L-fucose transporter polypeptide are expressed, and in which the oligosaccharide acceptor is converted to the difucosylated oligosaccharide. Recombinant cells for use in the methods are also described.

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 thermoplastic polyurethane is a reaction product obtained from components including (A) an aliphatic polyisocyanate, (B) an aliphatic polyol having at least one side chain, and (C) chain extenders. The aliphatic polyol (B) is a polycarbonate diol of formula (I): In formula (I), n is 4 to 40, and n+1 Rs are composed of a linear alkylene and an alkylene having at least one side chain so as to have the molar ratio of the linear alkylene to the alkylene having at least one side chain in the range of 0:100 to 95:5. The chain extender (C) is a combination of 1,4-butanediol with 1,3-propanediol, 1,5-pentanediol, 3-methyl-1,5-pentanediol, or ethylene glycol, and the amount of 1,4-butanediol is 50% by mass or more based on the total amount of the chain extenders (C). A resin composition containing the thermoplastic polyurethane and a corresponding molded product are also provided.

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: 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: Provided are a computer-implemented method, a system, and a computer program product. The method comprises extracting features from a plurality of base models in an ensemble model. The plurality of base models are configured to provide respective prediction results. The ensemble model is configured to provide an overall prediction result from the prediction results of the plurality of base models. The features are associated with time performance of the base models. The method further comprises clustering the plurality of base models into a plurality of clusters based on the extracted features. The method further comprises assigning the plurality of base models to a plurality of parallel computation units based on the plurality of clusters.

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 trolley configured for use to carry folding tables of a variety of sizes. The trolley includes a loading end, a trolley frame, and an extension gate adjustably connected to the trolley frame so as to be adjustable relative to the loading end of the trolley in a length direction of the trolley. The extension gate includes an elongate member slidingly disposed on the trolley frame and a rotatable portion that is foldable relative to the elongate member and lockable in an upright position by a lock. The rotatable portion may be positioned in an extended position from the loading end of the trolley, in a retracted position adjacent the loading end of the trolley, and in positions that are intermediate to the extended position and the retracted position. The elongate member may slide in a first direction to extend the rotatable portion away from the loading end of the trolley and in a second direction to retract the rotatable portion toward the loading end of the trolley.

Abstract: Constructing a feature segment-based ensemble can include generating a data structure for each element of an initial set of training data. Multiple strongly correlated features of the elements can be identified as well as weakly correlated features. For each strongly correlated feature, a feature segmentation training set can be generated, each training set's elements each containing one of the strongly correlated features and excluding other strongly correlated features. One or more machine learning algorithms can be selected from a software library. The one or more machine learning algorithms can be applied to the feature segmentation training sets to train multiple machine learning models. Each machine learning model that improves the predictive accuracy of the feature segment-based ensemble can be integrated in the feature segment-based ensemble.