Abstract: Provided are an indoor distribution system and a signal transmission method. The system includes an access unit, an extended unit, a first coupling unit, and at least one remote cascaded chain. Each remote cascaded chain includes at least one second coupling unit and at least one remote unit. The at least one second coupling unit in each remote cascaded chain is cascaded, and each remote unit is respectively connected to a corresponding second coupling unit. The first coupling unit transmits a radio-frequency signal transmitted by the extended unit to the second coupling unit. The second coupling unit transmits a radio-frequency signal of input power to the remote unit connected to the second coupling unit according to a coupling value. The remote unit adjusts the power of the radio-frequency signal from the input power to the output target power and output the adjusted radio-frequency signal.

Abstract: A carrier structure is provided, in which at least one positioning area is defined on a chip-placement area of a package substrate, and at least one alignment portion is disposed on the positioning area. Therefore, the precision of manufacturing the alignment portion is improved by disposing the positioning area on the chip-placement area, such that the carrier structure can provide a better alignment mechanism for the chip placement operation.

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.

Abstract: A quality assurance device for a medical accelerator includes a housing having an inner radioluminescent layer adapted to provide a visual indication when contacted with invisible radiation generated by the medical accelerator. In addition, the quality assurance device includes one or more cameras located within the housing and adapted to image the inner radioluminescent layer of the housing including the visual indication.

Abstract: An anechoic chamber and a construction method thereof are provided, the anechoic chamber includes a top surface, being a polygon; trapezoid surfaces, corresponding to edges of top surface, upper edge lengths of trapezoid surface being equal to edge lengths of top surface, trapezoid surfaces being connected to edges of top surface through the upper edges, the trapezoid surfaces being sequentially connected along a circumferential direction of top surface, and being at angle to the top surface; rectangular surfaces, corresponding to the trapezoid surfaces, upper edge lengths of rectangular surface being equal to lower edge lengths of trapezoid surface, rectangular surfaces being connected to the trapezoid surfaces through the upper edges, the rectangular surfaces being sequentially connected along a circumferential direction of the lower edges of trapezoid surfaces, and being perpendicular to the top surface; and an absorbing material, disposed on the top surface, the trapezoid surfaces and the rectangular surf

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: A quality assurance device for a medical accelerator includes a housing having an inner radioluminescent layer adapted to provide a visual indication when contacted with invisible radiation generated by the medical accelerator. In addition, the quality assurance device includes one or more cameras located within the housing and adapted to image the inner radioluminescent layer of the housing including the visual indication.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech synthesis. The methods, systems, and apparatus include actions of obtaining an audio representation of speech of a target speaker, obtaining input text for which speech is to be synthesized in a voice of the target speaker, generating a speaker vector by providing the audio representation to a speaker encoder engine that is trained to distinguish speakers from one another, generating an audio representation of the input text spoken in the voice of the target speaker by providing the input text and the speaker vector to a spectrogram generation engine that is trained using voices of reference speakers to generate audio representations, and providing the audio representation of the input text spoken in the voice of the target speaker for output.

Abstract: The present disclosure relates to a method and apparatus for automatic detection of anatomical sites from tomographic images.

Abstract: The invention discloses a monoclonal antibody against human GPR48 and application of the same. In the antibody provided by the present invention, the amino acid sequences of LCDR1, LCDR2, and LCDR3 in the light chain variable region are shown in positions 27-32, 50-52, and 89-97 of SEQ ID No.1 sequentially, and the amino acid sequences of HCDR1, HCDR2 and HCDR3 in the heavy chain variable region are shown in positions 26-33, 51-60 and 99-108 of SEQ ID No.2 sequentially. The antibody has strong specificity and sensitivity to GPR48 protein, and can be applied to immunological experimental techniques such as western blotting, immunofluorescence and immunohistochemistry; it can be applied to flow cytometry experimental techniques such as flow cyometry analysis and flow cytometry sorting; it can be applied to the scientific research of signaling pathways such as subcellular localization and protein interaction.

Abstract: A user device may receive (e.g., when proximate to the first access device), from an intervening device, device identification data for a first access device. A message may be received from a second access device via the intervening device. The message may include a digital signature generated based at least in part on second access device identification data. The user device may validate the message utilizing the digital signature and a public key. If the message is invalid, the user device may discard the message. If the message is valid, (e.g., unaltered), the user device may determine that the user has not confirmed an intent to interact with the second access device and may terminate a[n] further interaction with the second access device accordingly.

Abstract: Techniques and systems for optimizing and cleaning rules for network-based authentication transactions are provided herein. A network-based authentication system may determine a plurality of rules that were previously used to evaluate a plurality of transactions. The network-based authentication system may also generate a false positive rate for one or more of the plurality of rules, A cleaning coefficient for a first rule of the plurality of rules may be generated by the network-based authentication system. Based on the cleaning coefficient and the false positive rate, the network-based authentication system may identify one or more rules from the plurality of rules to eliminate from the plurality of rules. The network-based authentication system may eliminate the one or more rules to generate a modified set of rules. Using the modified set of rules, the network-based authentication system may authenticate a network transaction.

Abstract: A quality assurance device for a medical accelerator includes a housing having an inner radioluminescent layer adapted to provide a visual indication when contacted with invisible radiation generated by the medical accelerator. In addition, the quality assurance device includes one or more passive optical components within the housing adapted to deliver an image of the inner radioluminescent layer of the housing including the visual indication to one or more cameras located outside of the housing.

Abstract: A measuring device includes a hollow catheter and a guide wire which is insertable into the hollow catheter, where a catheter developing structure is arranged on the catheter, a distance of the catheter developing structure from a distal end of the catheter being less than a length of diseased tissue; a guide wire developing structure is arranged on a distal end of the guide wire, and a scale mark zone is arranged on the guide wire, a proximal end of the catheter can enter into the scale mark zone; the scale mark zone is configured to directly or indirectly measure a distance between the proximal end of the catheter and the end portion of the guide wire, and further measure the length of the diseased tissue.

Abstract: Disclosed is a connection method between different video conference platforms, including the steps of: joining a first video conference by a connecting device via a web browser based on a first conference invitation from a first video conference platform; joining a second video conference by the connecting device via the web browser based on a second conference invitation from a second video conference platform; and broadcasting first video data of the first video conference to the second video conference by the connecting device through a first virtual UVC/UAC device, and broadcasting second video data of the second video conference to the first video conference by the connecting device through a second virtual UVC/UAC device, thereby connecting the first video conference and the second video conference to form a cross-platform video conference.

Abstract: The present disclosure relates to a method and apparatus for automatic detection of anatomical sites from tomographic images.

Abstract: A spray head includes a nozzle, a sealing gasket, a first nut, and a screw. The nozzle includes an inlet portion, an outlet portion extending from an end of the inlet portion along an axial direction, and a first through hole penetrating the inlet portion and the outlet portion along the axial direction. The first through hole defines an opening on a surface of the outlet portion facing away from the inlet portion. The opening is rectangular. The sealing gasket is sleeved on the inlet portion. The first nut is sleeved on the nozzle and receiving the sealing gasket. The screw is located on a side of the sealing gasket facing away from the outlet portion and is engaged with the first nut. A second through hole penetrates the screw communicating with the first through hole. The disclosure also provides a cleaning device having the spray head.

Abstract: The present disclosure relates to a method and apparatus for robust and automatic face de-identification from CT and MRI. The method includes: receiving DICOM files of patient bodies obtained by a CT or MM system; normalizing the images; extracting the heads from bodies; creating face masks; and writing DICOM files back with de-identified faces.

Abstract: The present disclosure relates to a method and apparatus for automatic head and neck organ segmentation. The method includes: receiving 3D images obtained by a CT system or an MRI system; processing the 3D images to transform to patient coordinate system and have the same spatial resolution and matrix size; building a deep learning framework using CNN models for organ segmentation; doubling the size of training dataset by emulating uncollected training data with mirrored images and their corresponding labels; improving the performance by predicting on original and mirrored images and averaging the output probabilities; and post-processing the output from the deep learning framework to obtain final organ segmentation.