Abstract: The disclosure involves a method comprising clustering a plurality of observation samples related to historical travel demands into one or more clusters; for each cluster, constructing an actual probability distribution of the historical travel demands corresponding to the observation samples in the cluster; for each cluster, inputting observation samples in the cluster into a prediction model for predicting future travel demands to produce a result of prediction; for each cluster, computing a predicted probability distribution of the historical travel demands corresponding to the observation samples in the cluster based on the result of prediction; for each cluster, evaluating a difference between the actual probability distribution and the predicted probability distribution of the cluster; and modifying the prediction model so that a statistical sum of the differences for the one or more clusters is decreased.

Abstract: A system, a computer readable storage medium, and a method for detecting insurance fraud or for comparing references use visual analytics-based techniques. The method can include identifying a scratch and a scratch location on a vehicle in a 3-dimensional rendering in comparison to a base image or in comparison to a stored image in a database, comparing one or more features of the scratch such as color features of the scratch in the scratch location in comparison to the scratch location or comparing one or more texture features of the scratch in the scratch location in comparison to the scratch location in the base image or the stored image. The method can further generate a similarity calculation based on the one or more comparisons for the scratch, the scratch location, the one or more scratch features of the scratch and presents a result in response to the similarity calculation.

Abstract: The present invention provides polymer blends that can be used in a multilayer structure and to multilayer structures comprising one or more layers formed from such blends. In one aspect, a polymer blend comprises (a) a copolymer comprising ethylene and at least one of acrylic acid and methacrylic acid having an acid content of 2 to 21 weight percent based on the weight of the copolymer, wherein the amount of copolymer (a) comprises 20-80 weight percent of the blend based on the total weight of the blend, and (b) a copolymer comprising ethylene and at least one of methyl acrylate and ethyl acrylate having an acrylate content of 5 to 30 weight percent based on the weight of the copolymer, wherein the amount of copolymer (b) comprises 10 to 50 weight percent of the blend based on the total weight of the blend, wherein the amount of copolymer (a) and copolymer (b) is at least 70 weight percent of the blend based on the total weight of the blend.

Abstract: Provided herein are compounds, derivatives thereof, composition comprising one or more of said compounds and derivatives, and methods for prevention and/or treatment of microbial infections and/or related diseases or conditions. The present compounds and/or derivatives thereof can be represented by Formula (I): The present methods include administering to a subject an effective amount of one or more compounds of Formula (I). In one embodiment, said microbial infections are bacterial infections. More specifically, said bacterial infections are staphylococcal infections.

Abstract: A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.

Abstract: A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.

Abstract: A sensor circuit that is capable of sensing of neural action potentials is disclosed. The circuit can be designed to minimize power dissipation and total silicon area so that it can be incorporated into a massively parallel sensor array and ultimately implanted in the body (e.g. into the brain) in a safe manner. The circuit can also be designed to be tunable such that it can be optimized in silico prior to fabrication, and can be optimized through the use of controllable current sources after fabrication.

Abstract: Apparatuses and methods for pipelining memory operations with error correction coding are disclosed. A method for pipelining consecutive write mask operations is disclosed wherein a second read operation of a second write mask operation occurs during error correction code calculation of a first write mask operation. The method may further including writing data from the first write mask operation during the error correction code calculation of the second write mask operation. A method for pipelining consecutive operations is disclosed where a first read operation may be cancelled if the first operation is not a write mask operation. An apparatus including a memory having separate global read and write input-output lines is disclosed.

Abstract: The invention discloses a multi-stage suspension magnetizing roasting-magnetic separation system and method for refractory iron ore, which belongs to the field of mineral processing technology. This system comprises multistage suspension preheater, multistage suspension oxidizer, multistage suspension redactor, on-line grade analyzer, ore-like splitter, magnetic separator, dust remover, roots blower and other components and connection modes. The refractory iron ore treated by the present method can be produced to homogeneous magnetite or maghemite accurately, and through magnetic separation, on-line grade analyzer detection and ore-like splitter, the concentrate powder which reach the set grade can be obtained, and the unqualified ore powder enters the next stage of oxidation-reduction-magnetic separation-split treatment.

Abstract: A method and system of detecting abnormalities captured in a medical image are provided. A medical image is received having one or more lesions and one or more interferences. One or more convolution layers are applied to the medical image to create one or more feature maps, respectively. A region proposal network (RPN) is applied to each of the one or more feature maps to create a bounding box around each lesion and interference. For each bounding box, an object in the bounding box is classified as a lesion, an interference, or a background. Each object that is incorrectly classified as a lesion but determined to be an interference, is stored as a hard-negative example to be part of a training set for a next application of the RPN.

Abstract: The invention discloses a multi-language mixed speech recognition method, which belongs to the technical field of speech recognition; the method comprises: step S1, configuring a multi-language mixed dictionary including a plurality of different languages; step S2, performing training according to the multi-language mixed dictionary and multi-language speech data including a plurality of different languages to form an acoustic recognition model; step S3, performing training according to multi-language text corpus including a plurality of different languages to form a language recognition model; step S4, forming the speech recognition system by using the multi-language mixed dictionary, the acoustic recognition model and the language recognition model; and subsequently, recognizing mixed speech by using the speech recognition system, and outputting a corresponding recognition result.

Abstract: Provided is a system for a robot to eliminate its own sound source, comprising a sound pickup unit (1) used for acquiring a digital signal having mixed left and right sound channels and outputting same; a sound-card driver unit (2) used for mixing the received reference signal of the robot sound source and the digital signal having mixed left and right sound channels, to form a mixed voice signal, and outputting same; a signal separation unit (3) used for separating the mixed voice signal into a digital signal having mixed left and right sound channels and a reference signal, and determining whether the digital signal having the mixed left and right sound channels contains an interference signal, obtaining a playback signal volume, and outputting same.

Abstract: Provided herein are compounds, derivatives thereof, composition comprising one or more of said compounds and derivatives, and methods for prevention and/or treatment of microbial infections and/or related diseases or conditions. The present compounds and/or derivatives thereof can be represented by Formula (I): The present methods include administering to a subject an effective amount of one or more compounds of Formula (I). In one embodiment, said microbial infections are bacterial infections. More specifically, said bacterial infections are staphylococcal infections.

Abstract: Computational methods and systems that proactively manage usage of computational resources of a distributed computing system are described. A sequence of metric data representing usage of a resource is detrended to obtain a sequence of non-trendy metric data. Stochastic process models, a pulse wave model and a seasonal model of the sequence of non-trendy metric data are computed. When a forecast request is received, a sequence of forecasted metric data is computed over a forecast interval based on the estimated trend and one of the pulse wave or seasonal model that matches the periodicity of the sequence of non-trendy metric data. Alternatively, the sequence of forecasted metric data is computed based on the estimated trend and the stochastic process model with a smallest accumulated residual error. Usage of the resource by virtual objects of the distributed computing system may be adjusted based on the sequence of forecasted metric data.

Abstract: Methods, systems, and storage components for utilizing a deep neural network(s) for classifying at least one medical image. A deep neural network (DNN) can be configured by an image processing component to contain at least one revived neuron, where the revived neuron has an adjusted value based on a focus-learning function that is transferred to the DNN by the image processing component, where the focus-learning function provides the adjustment by updating the DNN with data that contains a corrected classification with respect to at least one normal image sample derived from a medical image, and where the correction is based on the focus-learning function comparing an annotation associated with an abnormal image sample derived from the medical image to another annotation associated with the at least one normal image.

Abstract: Computational methods and systems that proactively manage usage of computational resources of a distributed computing system are described. A sequence of metric data representing usage of a resource is detrended to obtain a sequence of non-trendy metric data. Stochastic process models, a pulse wave model and a seasonal model of the sequence of non-trendy metric data are computed. When a forecast request is received, a sequence of forecasted metric data is computed over a forecast interval based on the estimated trend and one of the pulse wave or seasonal model that matches the periodicity of the sequence of non-trendy metric data. Alternatively, the sequence of forecasted metric data is computed based on the estimated trend and the stochastic process model with a smallest accumulated residual error. Usage of the resource by virtual objects of the distributed computing system may be adjusted based on the sequence of forecasted metric data.

Abstract: Apparatuses and methods for pipelining memory operations with error correction coding are disclosed. A method for pipelining consecutive write mask operations is disclosed wherein a second read operation of a second write mask operation occurs during error correction code calculation of a first write mask operation. The method may further including writing data from the first write mask operation during the error correction code calculation of the second write mask operation. A method for pipelining consecutive operations is disclosed where a first read operation may be cancelled if the first operation is not a write mask operation. An apparatus including a memory having separate global read and write input-output lines is disclosed.

Abstract: The present application relates to a remote exposure control device, a digital radiography system and an exposing method for the system. The remote exposure control device comprises: a power source module, a sensing module electrically connected to the power source module, a processing module electrically connected to the power source module, and a communication module, wherein: the sensing module is electrically connected to the communication module and the processing module respectively; the communication module is configured to communicate with a flat panel detector (FPD) paired with a digital radiography system; and the processing module is configured to, after receiving a trigger signal sent by the sensing module, control the communication module to send an awakening instruction or a power-on instruction to the FPD, so that the FPD is awakened from a sleeping state or a power-off state to a working state.

Abstract: Compounds, pharmaceutical compositions, and methods for treatment of microbial infections are provided. The compounds can potentiate the therapeutic effects of one or more antimicrobial agents when co-administered. The compounds have antivirulence properties. Pharmaceutical compositions including the compounds and a pharmaceutically acceptable carrier are provided. The pharmaceutical composition can further include at least one antibiotic, such as, Gentamicin, amikacin, kanamycin, neomycin, spectinomycin, neamine or any combination thereof. The compounds and compositions can be used to treat or prevent microbial infections.

Abstract: A method and system obtaining positioning data from an object traveling on a plurality of routes; mapping the data into a plurality of points on a digital map; identifying points that are matched based on a distance and having a traveling direction consistent with the route directions; obtaining candidate transition points from the plurality of points on the digital map; aggregating the candidate transition points by applying a clustering algorithm to obtain a first cluster of points and a plurality of second clusters of points, verifying a confidence that the first cluster of points are transition points indicating a transition between the routes, and in response to the confidence being below a threshold confidence, classifying the first cluster of points as a first plurality of traveling points having a first direction and automatically adjusting the digital map at least in part based on the first cluster of points.