Abstract: Described herein are systems, devices, and methods for cardiac monitoring. A method may include comparing, using a machine learning (ML) algorithm, an activity level of a user with one or more heart rate parameters of the user to determine whether a discordance is present between the activity level and the one or more heart rate parameters. In response to detecting that a discordance is present, performing an electrocardiogram (ECG) of the user to obtain ECG data of the user. An ML algorithm may be trained to detect an arrythmia using a historical set of training data including the activity level, the one or more heart rate parameters and previously recorded heart rate parameters, and a historical set of ECG data including the ECG data and previously recorded ECG data.

Abstract: A rolling device includes a roller, a heat exchange assembly, and an adjustment assembly. The roller is provided with a rolling surface configured to roll a target member. The heat exchange assembly is arranged opposite to the rolling surface. The heat exchange assembly is configured to adjust the temperature of the rolling surface. The adjustment assembly is connected to the heat exchange assembly and is configured to adjust the position of the heat exchange assembly in an axial direction of the roller, so as to adjust temperatures of different regions of the rolling surface of the roller in the axial direction. A rolling system includes the rolling device, a measurement device and a controller, the measurement device is configured to measure the thickness of the target member after rolling; and the controller is connected in communication with the measurement device and the adjustment assembly.

Abstract: A process for producing a heavy metal mediated biochar composite using silicate solidification. Hydrocharis dubia has excellent enrichment of manganese ions in sewage, and is used to treat sewage water to adsorb heavy metals such as lead, manganese and zinc contained in the sewage water into roots, stems and leaves thereof, which are pyrolysed in stages at high temperature with activated red mud and bentonite prior to blending with zeolites, to produce said heavy metal mediated biochar composite; the process significantly extends the migration time of heavy metals, increases the stability of heavy metals and reduces the risk of environmental pollution by heavy metal leakage.

Abstract: A method for controlling a legged robot is performed by an electronic device. The legged robot includes a base and at least two robotic legs. Each of the robotic legs includes at least one joint. The method includes: determining a first expected moving trajectory corresponding to the legged robot and determining a second expected moving trajectory corresponding to the legged robot in response to the legged robot falling to contact a plane, the first expected moving trajectory indicating an expected moving trajectory of a center of mass of the legged robot, and the second expected moving trajectory indicating an expected moving trajectory of a foot end of each of the at least two robotic legs; and controlling, based on a dynamic model corresponding to the legged robot, the first expected moving trajectory, and the second expected moving trajectory, an action of each joint after the legged robot contacts the plane.

Abstract: The disclosure relates to downstream processing of fatty alcohol (FALC) and provides a novel purification method that provides FALC at high purity and yield.

Abstract: Systems and methods are described for automated threat detection. For example, the system receives various types of unlabeled data and determines, through an unsupervised machine learning model, a label for the data. The labels are provided to a supervised machine learning model during a first training process. When new data is received, the supervised machine learning model is executed during an inference process to cluster the new data in accordance with the labels that were determined by the unsupervised machine learning model. In some examples, a label audit process may be implemented to update the cluster/output of the supervised machine learning model. The updated labels from the label audit process may be provided back to the supervised machine learning model during a second training process. In other words, the system may combine the unsupervised machine learning model with a supervised machine learning model to perform automated threat detection.

Abstract: A heating assembly includes: a liquid guiding element; and a heating element arranged on a vaporization surface formed by the liquid guiding element, the heating element being energizable to generate heat. The heating element includes a first heating part and a second heating part. A temperature coefficient of resistance of the first heating part is greater than a temperature coefficient of resistance of the second heating part. The first heating part and the second heating part form an electrical connection structure.

Abstract: Aspects of the methods, apparatus, non-transitory computer readable medium, and systems include obtaining a noise map and a global image code encoded from an original image and representing semantic content of the original image; generating a plurality of image patches based on the noise map and the global image code using a diffusion model; and combining the plurality of image patches to produce an output image including the semantic content.

Abstract: A method for identifying deleterious genetic mutations, which method relates to the technical field of biomolecules. The method comprises: respectively converting, into density maps, obtained Ramachandran plots of wild-type proteins, benign protein variants, pathogenic protein variants, and proteins to be identified; dividing each density map into a plurality of regions, and by using the density maps of the benign protein variants, the pathogenic protein variants and the wild-type proteins as a reference, calculating an average density and a standard deviation of each region; if the deviation between the density of the proteins to be identified in each region and the average density of the region exceeds the standard deviation, marking the region as a density deviation region of the proteins to be identified; and on the basis of deviation data of the density deviation region of the proteins to be identified, determining mutations of the proteins to be identified.

Abstract: Disclosed is a method for recommending real-time audios and/or videos, including acquiring description data of a plurality of real-time audios and/or videos; acquiring user data; determining at least one candidate real-time audio and/or video in the real-time audios and/or videos; acquiring audio and/or video data of the at least one candidate real-time audio and/or video upon initiation of the candidate real-time audio and/or video; acquiring content data of the at least one candidate real-time audio and/or video; acquiring a degree of association between the content data of the at least one candidate real-time audio and/or video and the user data; and displacing a target candidate real-time audio and/or video in the at least one candidate real-time audio and/or video in a user interface.

Abstract: A testing platform for evacuated tube high-temperature superconducting magnetic levitation (HTS maglev) under a high-speed operation state, including an evacuated tube, a supporting platform assembly, a model train and a gantry. The supporting platform assembly is arranged in the evacuated tube, and is provided with a permanent magnet track and a stator winding. A mover and a cryogenic dewar are arranged at a bottom of the model train, and multiple superconducting bulks are arranged in the cryogenic dewar. A side wall of the model train is made of a metal material. The gantry is arranged on the supporting platform assembly, and permanent magnets are arranged on upright posts of the gantry. A testing method using the testing platform is also provided.

Abstract: A light detecting device includes a substrate that has a lattice constant. A buffer layer is disposed on the substrate. A gradient layer is formed on the buffer layer opposite to the substrate, and includes a plurality of sublayers that have respectively lattice constants each of which is greater than the lattice constant of the substrate. The sublayers are arranged in a manner that the lattice constants of the sublayers undergo a gradual increase in lattice constant in a direction away from the substrate. A barrier layer is formed on the gradient layer opposite to the buffer layer, and has a lattice constant which is greater than that of the substrate and no smaller than the lattice constants of the sublayers. An absorption layer is formed on the barrier layer opposite to the gradient layer.

Abstract: The present disclosure provides a wearable display device that relates to the field of virtual reality technology. Because the wearable display device has a high efficiency in processing electric signals transmitted via each of the photoelectric sensor assemblies, the wearable display device can quickly determine a gaze position of eyes of a user on the display panel based on an electric signals transmitted via each of the photoelectric sensor assemblies. In this way, the efficiency of the display panel in displaying images is improved, and the refresh rate of the display panel is higher.

Abstract: The image encoding device switches, based on one or more parameters related to an object in an image, between an encoding process for (i) a first region of the image including the object and (ii) a second region of the image that does not include the object, the one or more parameters being input from a first processing device that executes a prescribed task process on a basis of the image, generates a bitstream, and transmits the bitstream to an image decoding device.

Abstract: Embodiments of the present disclosure disclose a system for processing an image. The system comprises at least one storage device including a set of instructions; and at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including: obtaining an image; obtaining a first image feature by performing a feature extraction operation on the image; obtaining a down-sampled image by down-sampling the image; obtaining a second image feature by performing a feature extraction operation on the down-sampled image; obtaining, based on the first image feature and the second image feature, a target feature; and performing a segmentation operation on the image based on the target feature.

Abstract: An electronic package is provided, which stacks an electronic structure as an integrated voltage regulator on an electronic component to facilitate close-range cooperation with the electronic component for electrical transmission.

Abstract: A molded electronic assembly including a circuit substrate, a plurality of electronic devices, and at least one patterned heat dissipation structure is provided. The circuit substrate includes a substrate and a circuit, where the substrate has a top surface, and the circuit has a plurality of signal contacts distributed on the top surface. The electronic devices are disposed on the circuit substrate, and each of the electronic devices has a plurality of device pins connected to the signal contacts. The at least one patterned heat dissipation structure corresponds to a signal contact of the signal contacts and starts from the corresponding signal contact and extends toward a plurality of directions on the top surface of the substrate.

Abstract: An electrode active material is provided. The electrode active material includes a layered metal oxide having a general formula NaxZnaNibMncM1dO2M2e, where 0.6?x?0.85, 0.95?a+b+c+d?1.05, 0?d?0.05, and 0?e?0.067, and where 0.04?a/c?0.1 and 0.23?b/c?0.45. M1 is selected from at least one of alkaline earth metal elements, transition metal elements, and alkali metal elements other than Zn, Ni, and Mn, and M2 is selected from non-metallic elements other than O.

Abstract: Embodiments of the present application are related to a method and apparatus for determining TA value. An exemplary method according to some embodiments of the present application includes: receiving first downlink signalling information indicating a TA associated value at a first time instance; determining a reference TA value based on a second time instance, wherein the second time instance is determined based on second downlink signalling or predefined information; and determining a TA value for uplink transmission based on the TA associated value and the reference TA value.

Abstract: Disclosed herein include systems, devices, and methods for counterfactual optimization. In some embodiments, spatial omics training data can comprise a plurality of training images each comprising a plurality of molecule channels. A training image label can be generated for each of a plurality of training images indicating presence of at least one T cell in the training image. A plurality of masked training images can be generated from a plurality of training images with any T cell present in a training image of the plurality of training images masked in a masked training image of the plurality of masked training images generated. A model comprising a classifier with the plurality of masked training images as input and the training image label as output can be generated. A counterfactual optimization can be performed to determine a tumor perturbation using a second plurality of images with no T cell present in each of the plurality of images.