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.

Abstract: Epidermal growth factor receptor (EGFR) inhibitors are provided. In particular, 4-substituted-2-(N-(5-substituted ally amide)phenyl)amino)pyrimidine derivatives of formula (I), a preparation method and use thereof as an EGFR inhibitor are provided. The 4-substituted-2-(N-(5-substituted ally amide)phenyl)amino)pyrimidine derivatives of formula (I) have inhibitory activity against the L858R EGFR mutant, the T790M EGFR mutant and the exon 19 deletion activating mutant, and can be used to treat diseases mediated alone or in part by EGFR mutant activity. The derivatives of formula (I) can be used to treat and/or prevent cancers, particularly non-small cell lung cancer.

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 unmatched to the stored route trajectory; obtaining candidate transition points from the unmatched points; aggregating the candidate transition points by applying a clustering algorithm; selecting a first cluster of points and a plurality of second clusters of points, determining a confidence level that the first cluster of points are transition points indicating a transition between the routes, classifying the first cluster of points as a first plurality of traveling points having a first direction in response to the confidence being below a threshold confidence and automatically adjusting the stored route trajectory to indicate that the first cluster of points are on the route trajectory.

Abstract: A digital frequency-division phase-locked loop, including a time-to-digital converter (TDC), a digital loop filter (DLF), a digital-controlled oscillator (DCO), a feedback frequency divider (DIV), a sigma-delta modulator (SDM), and a calibration apparatus, where the calibration apparatus compensates for, based on a frequency control word and a frequency-division control word generated by the SDM, a digital signal output by the TDC to obtain a calibration signal. The DLF performs digital filtering on the calibration signal to obtain an oscillator frequency control signal and set the oscillator frequency control signal as an output signal of the DCO.

Abstract: The present invention relates to an FGFR4 inhibitor having a structure represented by formula (I), preparation method therefor, and applications thereof. A series of compounds represented by formula (I) in the present invention have very-strong inhibition effect on the activity of FGFR4 kinase, have very-high selectivity, can be widely used in the preparation of drugs for treating cancers, specially a liver cancer, a stomach cancer, a prostate cancer, a skin cancer, an ovarian cancer, a lung cancer, a breast cancer or a colon cancer, and can be developed into a new-generation FGFR4 inhibitor drug.

Abstract: A method of reconstructing an image that may include in at least one example: determining coincidence events based on detection by a detector during a continuous incremental scanning; determining an axial position for each of the coincidence events; storing data for each of the coincidence events including the axial position in a list mode; sorting the data for each of the coincidence events according to a spatial order; and obtaining an image by performing iterative reconstruction with the sorted data for each of the coincidence events.

Abstract: A Position Emission Tomography (PET) system is provided in the present disclosure. According to an example, the PET system includes a detector and a host computer, where the detector includes: a plurality of detector rings; each of the detector rings including n number of collecting modules arranged in a circumferential direction of the detector ring, where n is an integer greater than 1; a first collecting module of the n number of collecting modules coupled with the host computer; an n-th collecting module of the n number of collecting module coupled with a (n?1)-th collecting module; and an i-th collecting module coupled with an (i?1)-th collecting module, where i is an integer greater than 1 and less than n.

Abstract: An efficient method and apparatus for identifying one or more targets in an image is presented. A matching operation is performed that compares the image against multiple templates jointly. The multiple templates are sorted into multiple clusters. The joint template matching operation achieves an improvement in performance by focusing on a subset of the clusters. For each grid location, clusters whose reference templates have low matching scores with the image content of the grid location are bypassed or excluded from the matching operation. This saving in computation load is made possible by the clustering of the templates, which can be performed offline and does not affect the performance of the joint template matching operation.

Abstract: A robot voice direction-seeking turning system and method. The robot voice direction-seeking turning system employs a voice activity detection unit (1) that detects a received voice signal to determine whether or not a voice signal transmitted by a user (S2) is present; a direction-seeking angle for the voice signal is calculated by a voice direction-seeking unit (3), and a voice direction-seeking turning unit (4) is employed to drive a robot to turn towards the direction of the sound source of the voice signal on the basis of a direction-seeking angle (S4). Employment of the robot voice direction-seeking turning method allows accurate acquisition of a valid voice signal transmitted by the user, thus increasing signal-to-noise ratio and the accuracy of voice recognition.

Abstract: A train window structure and a train with the train window structure, the train window structure comprising: a train window frame; train window glass disposed in the train window frame; and a fastener penetrating through an inner side of the train window frame and disposed on a train body to fasten the train window frame, the axis of the fastener being parallel to a plane where the train window glass is provided. The fastener penetrates through the train window frame from an inner side of the train window frame and is screwed into the train body; the fastener is internally installed, thus reducing a gap between the adjacent train window structures, so that the train body is more aesthetically pleasing and wind resistance is lower.

Abstract: A system and method of a PET imaging are provided. According to an example, a detector, a movement control module, a power control module and a reconstructing computer may be connected to a switch in a form of a star-shaped network topology. The detector may include M*N detector units distributed in an annular structure, each detector unit may be allocated with an IP address, M detector units are evenly distributed on each circumferential direction of the annular structure, and N detector units are evenly distributed on each axial direction of the annular structure. Each of the detector units may transmit a set of acquired data to the reconstructing computer through the switch via a network bus; and the set of data may include location information, acquiring time information and IP address.

Abstract: A method using drive test data for propagation model calibration includes: step 1, obtaining original drive test data; step 2, selecting the data from the drive test data according to predefined conditions as effective drive test data; and step 3, extracting the effective drive test data to form a data file used for propagation model calibration. An apparatus using drive test data for propagation model calibration includes: a drive test data obtaining module, configured to obtain the drive test data in the regions to be calibrated; an effective drive test data generation module, configured to generate effective drive test data from the drive test data according to predefined conditions; and a data file generation module, configured to extract the effective drive test data to form a data file used for propagation model calibration. The present invention utilizes drive test data of existing networks to largely decrease the CW test work and reduce the network building cost.

Abstract: Systems and methods training a model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks.

Abstract: An interconnection unit includes a first connector configured to be coupled to an electronic device. There is a second connector configured to be coupled to a power station and to provide a path to the electronic device via the first connector. There is a low pass filter coupled between the first connector and the second connector and configured to allow the electronic device to receive power from the power station while maintaining data security of the electronic device.

Abstract: According to one embodiment, a method, computer system, and computer program product for cognitive digital risk analysis is provided. The present invention may include receiving telematics data; receiving road network and weather data; generating one or more customer behavior profiles based on the telematics data and the road network and weather data; receiving historical claims data; training, using the historical claims data and features of the customer behavior profile, a risk scoring engine; and producing, by the risk scoring engine, an assessment of the risk of loss posed by one or more drivers.

Abstract: Embodiments of the present invention provide efficient and dynamic systems and methods for building a hybrid road network and grid based spatial temporal index to handle big trajectory data. Embodiments of the present invention can be used to satisfy the issue of low indexing and compression rate of big trajectory data, and to improve the efficiency of index queries, while also providing a mechanism to account for missing road links in a map.

Abstract: A stacked image sensor comprises an array of tiles, each comprising a sensor array layer tile comprising a plurality of sensing elements for receiving radiation, one or more electronics layer tiles comprising at least one read-out circuit, connected to at least one subgroup of sensing elements of the sensor array layer tile, a photonics layer tile comprising at least one waveguide and one or more modulators, each connected to the one or more electronics layer tiles. The modulators are adapted for modulating an optical signal travelling within the at least one waveguide. The electronics layer tile comprises at least one driver for driving an optical modulator in the photonics layer tile in accordance with the signals received in each sensing element of the sensor array layer tile. At least one of the layer tiles (sensor array layer, electronics layer and/or photonics layer tiles) is implemented in a single integrated circuit.

Abstract: A system and method are provided for identifying security risks in a computer system. The system includes an event stream generator configured to collect system event data from the computer system. The system further includes a query device configured to receive query requests that specify parameters of a query. Each query request includes at least one anomaly model. The query request and the anomaly model are included in a first syntax in which a system event is expressed as {subject-operation-object}. The system further includes a detection device configured to receive at least one query request from the query device and continuously compare the system event data to the anomaly models of the query requests to detect a system event that poses a security risk. The system also includes a reporting device configured to generate an alert for system events that pose a security risk detected by the detection device.

Abstract: Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.