Abstract: The disclosure pertains to a high-performance, low-cost aluminum alloy material produced entirely from recycled materials and its preparation method. The alloy comprises the following components by weight percentage: Si: 10%-11%; Mg: 0.50%-0.65%; Mn: 0.01%-0.20%; Cu: 1.0%-1.2%; 0<Ni?0.5%; Fe: 0.7%-0.9%; 0<Ti?0.20%; Zn: 2.0%-2.5%; 0<Pb?0.1%; 0<Sn?0.1%; the total of the remaining impurities being controlled at less than 1%, with the balance being Al. Compared with a conventional ADC12 alloy, the raw materials are more widely available and the cost is lower, but the mechanical performance, thermal conductivity and weather resistance are all superior to the ADC12 alloy. The alloy die-casting test bar of the present disclosure has a tensile strength ?270 Mpa, a yield strength ?150 MPa, an elongation ?2.5%, and a thermal conductivity ?110W/m·k. The material is a green material that complies with circular economy.

Abstract: In a power factor correction PFC circuit control method and a PFC circuit, a control module determines that an alternating current on a single-phase input/output terminal is in a positive half cycle. The control module turns on or turns off switching transistors on the first bridge arm and the second bridge arm, to boost a first voltage at a first parallel connection point. The control module turns on a switching transistor on the third bridge arm when determining that the first voltage is equal to a voltage of a positive bus of the direct current module. A switching loss of the PFC circuit can be effectively reduced, and performance of the PFC circuit can be improved.

Abstract: A power supply circuit, a driving method thereof, a printed circuit board, a display module and a display apparatus are disclosed, which relates to a technical field of displaying. The power supply circuit includes a first power management chip and a second power management chip configured to be respectively connected with a display panel and provide different driving signals to the display panel, and the driving signals are configured for driving the display panel to display.

Abstract: There is provided a method comprising receiving at least one measured signal characteristic from a user equipment, the user equipment being located at a user equipment location; comparing the at least one measured signal characteristic to at least one of a plurality of signal characteristics, each signal characteristic being associated with a respective measurement point; and determining, based on the comparing, a probability that the user equipment location is a first location.

Abstract: This application relates to the field of circuit technologies, and provides a step-up circuit and a step-up circuit control method. The step-up circuit includes a power supply, an inductor, N switch components, N-1 flying capacitors, N flyback diodes, a pre-charge unit, and an output unit. The N switch components are connected in series, a first switch component of the N switch components is connected to a first terminal of the power supply through the inductor, and an Nth switch component is connected to a second terminal of the power supply. At least two switch components of the N switch components have withstand voltage specifications different from each other. Values of voltages withstood by switch components with different withstand voltage specifications during normal operation are also different from each other. N is a positive integer.

Abstract: The present disclosure relates to a clock distribution method and apparatus in a network. A method performed at a clock distribution apparatus comprises: receiving a first clock signal; receiving a second clock signal; calculating an offset difference between the first clock signal and the second clock signal; compensating the second clock signal, based on the offset difference; and outputting a clock signal, based on the compensated second clock signal. The offset difference between the first clock signal and the second clock signal is calculated and used to compensate the second clock signal. The switching of the clock signal will be smoother for the downstream.

Abstract: In one embodiment, a method includes accessing first sensor data from a first sensor worn on a first portion of a user's body and accessing second sensor data from a second sensor worn on a second portion of the user's body. The method includes determining, based on both the first sensor data and the second sensor data, one or more first features related to the user's activity and determining, based on the first features, an initial classification of the user's activity. When the initial classification indicates a class that includes one or more subclasses that are more distinguishable by one of the sensors, then a specific subclassification may be determined based on sensor data from only that one sensor. Otherwise, the classification of the user's activity may be based on the one or more first features that use data from both sensors.

Abstract: A method for sludge dewatering using kitchen waste to synergistically enhance a coupling of an anaerobic biological acidification and a low-temperature hydrothermal of excess sludge is disclosed. The method includes the following steps: first, uniformly mixing the excess sludge from a sewage treatment plant and the kitchen waste for an anaerobic biological acidification reaction at 36.5-37.5° C. for 2-4 days; then, concentrating the acidified mixture by centrifugation at a speed of 3000-5000 rpm for 5-10 min; performing a low-temperature thermal hydrolysis treatment on a residue obtained after removing a supernatant for 15-30 min at 100-140° C.; and after the thermal hydrolysis treatment is finished, cooling and dewatering to obtain a dewatered sludge cake and a dewatered filtrate. The new method realizes high-efficiency sludge dewatering and innocuous utilization of dewatered filtrate and sludge cake without adding chemical reagents and effectively avoids generating hardly-degradable chemical oxygen demand.

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: Text-to-image generation generally refers to the process of generating an image from one or more text prompts input by a user. While artificial intelligence has been a valuable tool for text-to-image generation, current artificial intelligence-based solutions are more limited as it relates to text-to-3D content creation. For example, these solutions are oftentimes category-dependent, or synthesize 3D content at a low resolution. The present disclosure provides a process and architecture for high-resolution text-to-3D content creation.

Abstract: In various examples, a deep three-dimensional (3D) conditional generative model is implemented that can synthesize high resolution 3D shapes using simple guides—such as coarse voxels, point clouds, etc.—by marrying implicit and explicit 3D representations into a hybrid 3D representation. The present approach may directly optimize for the reconstructed surface, allowing for the synthesis of finer geometric details with fewer artifacts. The systems and methods described herein may use a deformable tetrahedral grid that encodes a discretized signed distance function (SDF) and a differentiable marching tetrahedral layer that converts the implicit SDF representation to an explicit surface mesh representation. This combination allows joint optimization of the surface geometry and topology as well as generation of the hierarchy of subdivisions using reconstruction and adversarial losses defined explicitly on the surface mesh.

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.