Abstract: A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed 3D model is represented in a format that can be directly edited and/or rendered by conventional application programs, such as digital content creation (DCC) tools. For example, the constructed 3D model may be represented as a triangular surface mesh (with arbitrary topology), a set of 2D textures representing spatially-varying material parameters, and an environment map. Furthermore, the constructed 3D model may be included in 3D scenes and interacts realistically with other objects.

Abstract: An online system trains a constraint prediction machine-learning model using an action-based loss function. The action-based loss function computes a weighted sum of (1) an accuracy of the constraint prediction model in predicting whether a user's interaction complies with a set of constraints and (2) an action score representing a number of actions taken by users to determine whether the user's action complies with the set of constraints. The online system may apply this trained constraint prediction model to future interaction data received from third-party systems to predict whether user interactions with those third-party systems comply with the set of constraints.

Abstract: A semiconductor package structure and a manufacturing method therefor are disclosed. The semiconductor package structure includes a package layer, a first device layer, a first insulation layer, a conductive copper pillar, and a second device layer. The package layer covers the first device layer. The first device layer, the first insulation layer, and the second device layer are sequentially stacked. The conductive copper pillar extends through the first insulation layer. The first device layer and the second device layer are electrically connected through the conductive copper pillar. The first device layer includes a first circuit layer, a trench, and an embedded device. The embedded device is connected to the first circuit layer. The trench is arranged below the embedded device. The trench is partially or completely overlapped with a projection of the embedded device in a mounting direction of the embedded device.

Abstract: Pulmonary function estimation can include detecting one or more cough events from a time series of audio signals generated by an electronic device of a user. Based on the one or more cough events, one or more lung function metrics of the user can be determined.

Abstract: Apparatuses, systems, and techniques are presented to generate digital content. In at least one embodiment, one or more neural networks are used to generate one or more textured three-dimensional meshes corresponding to one or more objects based, at least in part, one or more two-dimensional images of the one or more objects.

Abstract: Embodiments of the application relate to the technical field of Optical Coherence Tomography (OCT) devices, and disclose a detection method and system directly applying noninvasive OCT to an endometrium, and a detection device. The method includes: inserting an OCT probe into a uterine cavity through a cervical orifice until reaching a fundus of a uterus; pulling back the OCT probe, and starting an image acquisition apparatus at the same time to obtain a plurality of OCT images; and dividing the plurality of OCT images into four areas, namely a uterine fundus area, a uterine upper section area, a uterine lower section area, and a cervical area, each area having one or more OCT images, and analyzing the OCT image of each area. By implementing the embodiments of the application, each area may be analyzed according to the OCT image, a human body cannot be injured, and the detection is accurate.

Abstract: A method that includes collecting, by a computer, social network posts by social network friends of a user containing images. The method further includes identifying, by the computer, images within the social network posts containing the user through facial image recognition based on an image of the user in a user social network profile and determining, by the computer, information from the identified images containing the user within the social network posts for inclusion in the user social network profile. The method may further include updating, by the computer, the profile information of the user social network profile to include the information from the identified images containing the user within the social network posts.

Abstract: A method includes receiving stress-related measurements collected by one or more stress sensors, where the stress-related measurements represent one or more physiological responses of a user to a stressor. The method also includes receiving context data collected by one or more context sensors, where the context data represents a context associated with the user. The method further includes determining stress profile features associated with the user based on the stress-related measurements. The method also includes providing the stress profile features to a trained stress profile identification machine learning model to select a stress profile from among multiple candidate stress profiles for association with the user. The method further includes providing the selected stress profile and the context data to a trained stress intervention recommendation machine learning model to select a stress intervention activity for the user.

Abstract: A reasonable millisecond time control method for excavation blasting of a tunnel is provided, and includes: acquiring physical mechanical parameters to establish a millisecond blasting model, and designing four dimensions blasting parameters of explosive quantity, hole number, inter-hole millisecond and inter-row millisecond; simulating, based on the millisecond blasting model, a blasting process of an explosive package using blasting parameters to obtain a blasting vibration curve; obtaining single-hole blasting vibration waveforms, solving a vibration synthesis curve through a vibration synthesis theory; comparing the vibration synthesis curve with the blasting vibration curve to obtain a coupling relationship of blasting parameters; determining a target group of explosive quantity and hole numbers, determining a target millisecond through the coupling relationship of blasting parameters, and relating a millisecond blasting control strategy to control, and it is used for tunneling project to reduce cut blas

Abstract: A method includes providing an injection well extending from a surface into a formation and alternatingly pumping a foam injectant and a gel injectant into the injection well, wherein the foam injectant includes a liquid phase with a surfactant and water and a gas phase and the gel injectant includes a water-soluble polymer and a crosslinker. The foam injectant and the gel injectant are injected at separate times and sequentially.

Abstract: In particular embodiments, a method includes accessing, by a computing device, sensor data from a sensor of a client device corresponding to a user. The method further includes determining one or more segments of sensor data and selecting at least one segment of sensor data. The method further concludes determining, based at least on the selected segments of sensor data, one or more features corresponding to the user's pulmonary condition. The method further includes determining, based at least on the determined features, an assessment of the user's pulmonary condition.

Abstract: In various examples, information may be received for a 3D model, such as 3D geometry information, lighting information, and material information. A machine learning model may be trained to disentangle the 3D geometry information, the lighting information, and/or material information from input data to provide the information, which may be used to project geometry of the 3D model onto an image plane to generate a mapping between pixels and portions of the 3D model. Rasterization may then use the mapping to determine which pixels are covered and in what manner, by the geometry. The mapping may also be used to compute radiance for points corresponding to the one or more 3D models using light transport simulation. Disclosed approaches may be used in various applications, such as image editing, 3D model editing, synthetic data generation, and/or data set augmentation.

Abstract: A system includes diagnostic circuitry and a zone with one or more associated transceiver nodes. A first transceiver node broadcasts one or more beacons which a second transceiver node attempts to receive. The first transceiver node the second transceiver node or both being associated with the zone. The second transceiver node provides a reception indication to the diagnostic circuitry. Based on the reception indication, the diagnostic circuitry may generate a zone-specific radio signal fingerprint and apply the fingerprint to an input of a performance classification routine. Based on the output of the performance classification routine, the diagnostic circuitry may determine whether the zone-specific radio signal fingerprint for the zone has changed relative to one or more previous zone-specific radio signal fingerprints for the zone.

Abstract: A system includes a group of transceiver nodes and diagnostic circuitry. A first transceiver node of the group broadcasts one or more beacons which a second transceiver node of the group attempts to receive. The second transceiver node provides a reception indication to the diagnostic circuitry. Based on the reception indication, the diagnostic circuitry determines a radio performance change for the first transceiver node and/or second transceiver node. Using a change threshold based on a distribution of radio performance changes for the group, the diagnostic circuitry may determine whether to generate a change indication for the first transceiver node and/or second transceiver node.

Abstract: A method includes estimating, by a consumer electronic device, an atrial fibrillation (AF) burden of a subject based on multiple measurements passively collected by at least one sensor associated with the consumer electronic device while the subject is in a free-living environment. The method also includes outputting, by the consumer electronic device, an AF burden notification associated with the subject based on the estimated AF burden. The method further includes outputting, by the consumer electronic device, an AF burden recommendation based on the estimated AF burden.

Abstract: Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Abstract: There is described a system and method for location determination of a beacon tag using signal differential. A first beacon is received at multiple receiving devices. First received signal strength indicator measurements associated with the receiving devices are identified based on the first beacon. A reference point for the beacon tag is established based on the plurality of first received signal strength indicator measurements. A second beacon is received at the receiving devices in which, the second beacon is received subsequent to the first beacon. Second received signal strength indicator measurements are received at the receiving devices are identified based on the second beacon. A displacement of the beacon tag is determined based on a first order difference of the second received signal strength indicator measurements to the first received signal strength indicator measurements. A location of the beacon tag relative to the reference point is updated based on the displacement.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: A reasonable millisecond time control method for excavation blasting of a tunnel is provided, and includes: acquiring physical mechanical parameters to establish a millisecond blasting model, and designing four dimensions blasting parameters of explosive quantity, hole number, inter-hole millisecond and inter-row millisecond; simulating, based on the millisecond blasting model, a blasting process of an explosive package using blasting parameters to obtain a blasting vibration curve; obtaining single-hole blasting vibration waveforms, solving a vibration synthesis curve through a vibration synthesis theory; comparing the vibration synthesis curve with the blasting vibration curve to obtain a coupling relationship of blasting parameters; determining a target group of explosive quantity and hole numbers, determining a target millisecond through the coupling relationship of blasting parameters, and relating a millisecond blasting control strategy to control, and it is used for tunneling project to reduce cut blas

Abstract: A method for polyculture of Alosa sapidissima and Macrobrachium rosenbergii by a floating net fishing device and a greenhouse earthen pond includes: S1: providing a slope on an inner wall of a pond, and providing a feeding channel on the slope for survival and attachment of the Macrobrachium rosenbergii; S2: building a greenhouse on the pond, raising a water temperature to a set temperature, then putting Macrobrachium rosenbergii larvae, and putting Alosa sapidissima fry into the pond for polyculture in different periods; and S3: fishing in batches through a floating net: firstly, fishing the Alosa sapidissima fry in middle and upper layers, and then fishing the Macrobrachium rosenbergii in middle and lower layers.