Abstract: A method of establishing a cancer screening model is provided, including: providing a plurality of samples and a plurality of corresponding cancer states; analyzing these samples by a low-resolution mass spectrometer to obtain a plurality of mass spectral data, wherein the low-resolution mass spectrometer is undertaken a mass accuracy level above 5 ppm and a mass resolution (m/?m) below 10,000; inputting these mass spectral data into a machine learning algorithm to obtain a plurality of markers by a feature selection method; and using these markers and these cancer states by the machine learning algorithms to establish cancer screening model.

Abstract: Described herein are systems and methods for generating an embedding—a learned representation—for an image. The embedding for the image is derived to capture visual aspects, as well as textual aspects, of the image. An encoder-decoder is trained to generate the visual representation of the image. An optical character recognition (OCR) algorithm is used to identify text/words in the image. From these words, an embedding is derived by performing an average pooling operation on pre-trained embeddings that map to the identified words. Finally, the embedding representing the visual aspects of the image is combined with the embedding representing the textual aspects of the image to generate a final embedding for the image.

Abstract: A facility for executing a logistics operation comprises a warehouse facility, comprising a level and a plurality of areas defined on the level. The areas comprise a sorting zone and a shipping zone in communication with the sorting zone. A plurality of container reload stations are fixedly arranged at a plurality of predetermined locations in the sorting zone. Each of the container reload stations comprise a sorting robot, and a plurality of first placing points and a second placing point located at a periphery of the sorting robot. A plurality of first robot autonomous guided vehicles are configured to respectively transfer inventory containers to the container reload station. A plurality of second robot autonomous guided vehicles are configured to respectively transfer order containers to be loaded. A server is communicatively connected to the sorting robot, the first robot autonomous guided vehicles, and the second robot autonomous guided vehicles.

Abstract: The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

Abstract: The present disclosure is directed to devices used for transplanting or recruiting cells, in addition to methods for making said devices and for using said devices in the treatment of medical disorders.

Abstract: Described herein are systems and methods for generating an embedding—a learned representation—for an image. The embedding for the image is derived to capture visual aspects, as well as textual aspects, of the image. An encoder-decoder is trained to generate the visual representation of the image. An optical character recognition (OCR) algorithm is used to identify text/words in the image. From these words, an embedding is derived by performing an average pooling operation on pre-trained embeddings that map to the identified words. Finally, the embedding representing the visual aspects of the image is combined with the embedding representing the textual aspects of the image to generate a final embedding for the image.

Abstract: Method, system, device and medium for determining a blood flow velocity in a vessel are provided. An example method includes receiving a 3D model of the vessel, which is reconstructed based on X-ray angiography images of the vessel. The method further includes specifying a segment of the 3D model by a start landmark and a termination landmark. Moreover, the method includes determining the blood flow velocity based on length of the segment and perfusion time for the segment by normalizing the blood flow velocity to correspond to a cardiac cycle. The method has a better accuracy in calculating blood flow velocity, and requires no additional modalities other than the original X-ray angiogram sequences used to visualize coronary arteries.

Abstract: The present disclosure is directed to a method and system for automatically predicting a physiological parameter based on images of vessel. The method includes receiving the images of a vessel acquired by an imaging device. The method further includes determining a sequence of temporal features at a sequence of positions on a centerline of the vessel based on the images of the vessel, and determining a sequence of structure-related features at the sequence of positions on the centerline of the vessel. The method also includes fusing the sequence of structure-related features and the sequence of temporal features at the sequence of positions respectively. The method additionally includes determining the physiological parameter for the vessel at the sequence of positions, by using a sequence-to-sequence neural network configured to capture sequential dependencies among the sequence of fused features.

Abstract: A conductive material composition and a conductive material prepared therefrom are provided. The conductive material composition includes 40-80 parts by weight of disulfide resin having at least one terminal reactive functional group and 20-60 parts by weight of metal material. The terminal reactive functional group is independently acrylate group, methacrylate group, glycidyl group, oxiranyl group, oxetanyl group, or 3,4-epoxycyclohexyl group.

Abstract: A hand-held power tool includes a tool holder, a housing in which a drive motor configured to drive an output shaft is arranged, the output shaft arranged spaced apart from the tool holder in a decoupling position of the tool holder, and a clutch configured to operatively connect the output shaft to the tool holder in a coupling position of the tool holder by way of a loading of the tool holder along a rotational axis of the drive motor against a workpiece to be worked on. An actuating rod is configured to be loaded against a motor switch in the coupling position to activate the drive motor, the motor switch arranged along the rotational axis of the drive motor between the drive motor and the clutch, wherein the actuating rod is guided by the housing at least in regions.

Abstract: Described herein are techniques for processing content items for presentation via a content feed of an online service. Upon receiving a request associated with a particular end-user of an online service for a content feed, a connection graph is analyzed to identify a plurality of content items that are eligible for presentation to the end-user. Some subset of content items that share a common relationship with the end-user, as indicated by a common edge in the connection graph, are identified. This subset of content items is then grouped together for presentation within the content feed in a content carousel, where the content carousel is positioned within the content feed, relative to other content items, based on the highest ranking content item presented via the content carousel.

Abstract: Provided are a lithium ion battery, an electrode of a lithium ion battery, and an electrode material. An electrode material of the lithium ion battery includes electrode active powder and a metal thin film. The metal thin film partially or completely wraps a surface of the electrode active powder, in which the metal thin film includes silver, gold, platinum, palladium, aluminum, magnesium, zinc, tin, or an alloy of the foregoing.

Abstract: The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

Abstract: A conductive material composition and a conductive material prepared therefrom are provided. The conductive material composition includes 40-80 parts by weight of disulfide resin having at least one terminal reactive functional group and 20-60 parts by weight of metal material. The terminal reactive functional group is independently acrylate group, methacrylate group, glycidyl group, oxiranyl group, oxetanyl group, or 3,4-epoxycyclohexyl group.

Abstract: The present disclosure relates to a method, storage medium, and system for analyzing an image sequence of a periodic physiological activity. In one implementation, the method includes receiving the image sequence acquired by an imaging device, the image sequence having a plurality of frames, and identifying a feature point in a first frame. The method further includes determining motion vectors for the feature point in the frames of the image sequence. Each motion vector for the feature point is determined based on respective locations of corresponding feature points in frames adjacent to the first frame. The method also includes determining a motion magnitude profile based on the determined motion vectors and determining a phase of each frame in the image sequence based on the motion magnitude profile.

Abstract: The present disclosure is directed to a method and system for automatically predicting a physiological parameter based on images of vessel. The method includes receiving the images of a vessel acquired by an imaging device. The method further includes determining a sequence of temporal features at a sequence of positions on a centerline of the vessel based on the images of the vessel, and determining a sequence of structure-related features at the sequence of positions on the centerline of the vessel. The method also includes fusing the sequence of structure-related features and the sequence of temporal features at the sequence of positions respectively. The method additionally includes determining the physiological parameter for the vessel at the sequence of positions, by using a sequence-to-sequence neural network configured to capture sequential dependencies among the sequence of fused features.

Abstract: In an example embodiment, a GLMix model is utilized that models viewers and actors of feed items. This allows for random effects of individual viewers and actors to be taken into account without introducing biases. Additionally, in an example embodiment, predictions/recommendations are made more accurate by using three models, which are then combined, instead of a single GLMix model. Each of these models has different granularities and dimensions. A global model may model the similarity between user attributes (e.g., from the member profile or activity history) and item attributes. A per-viewer model may model user attributes and activity history of actors on feed items. A per-actor model may model user attributes and activity history of the viewers of feed items. The per-actor model may therefore, rely on information regarding how and what type of viewers interacted with items acted on by the particular actor.

Abstract: The present disclosure is directed to a method and device for automatically predicting FFR based on images of vessel. The method for automatically predicting FFR based on images of a vessel. The method comprises a step of receiving the images of a vessel acquired by an imaging device. Then, a sequence of flow speeds at a sequence of positions on a centerline of the vessel is acquired by a processor. A sequence of first features at the sequence of positions on a centerline of the vessel are acquired by the processor, by fusing structure-related features and flow speeds and using a convolutional neural network. Then, a sequence of FFR at the sequence of positions is determined by the processor through using a sequence-to-sequence neural network on the basis of the sequence of first features.

Abstract: Techniques for optimizing machine-learned models based on dwell time of network-transmitted content items are provided. In one technique, impression data and selection data are used train a selection prediction model. For each impression, a dwell time associated with that impression is determined and compared to a skip time. If the dwell time is less than the skip time, then a first training label that indicates that the impression is skipped is associated with the impression. If the dwell time is greater than the skip time, then a second training label that indicates that the impression is not skipped is associated with the impression. These training labels are used to train a skip prediction model. The selection prediction model and the skip prediction model are used in a content item selection event to generate a score for each candidate content item. The scores are used to select a content item.

Abstract: Techniques for enhancing usability and electronic resource efficiency using comment relevance are disclosed herein. In some embodiments, a comment relevance system receives member feature data, including professional identity data such as professional experience or professional skill, and at least one of comment feature data and commenter feature data for comments for post on a social networking service, generates a score for each comment based on the member feature data and the comment or commenter feature data, ranks the comments based on the scores, and causes one or more of the comments to be displayed in a particular position based on the ranking. In some embodiments, the member feature data comprises professional identity data of a member of the social networking service, the comment feature data indicates at least one attribute of the comment, and the commenter feature data indicates at least one attribute of the commenter of the comment.