Abstract: Provided herein is chitosan-derivative nanoparticle comprising chitosan functionalized with a cationic amino acid and a hydrophilic polyol; and methods of making and using same, e.g., for gene delivery in vivo.

Abstract: Described is a method for evaluating oil recovery. The method includes performing a pre-coreflood process, a coreflood process, and a post-coreflood process. The pre-coreflood process includes preparing heterogenous cores samples with different structural configurations. The coreflood process includes injecting a treatment into the core samples and obtaining nuclear magnetic resonance (NMR) measurements of the treated core samples. NMR measurements are compared to assess performance of the treatment. The post-coreflood process includes conducting an X-ray micro-computerized topography (CT) scan and a Saturate, Aromatic, Resin, and Asphaltene (SARA) analysis on the treated core samples.

Abstract: Apparatuses, systems, and techniques to train one or more neural networks using stratified sampled training data parameters. In at least one embodiment, one or more stochastic training data parameters may be stratified sampled from one or more sampling ranges to compute a gradient for updating the one or more neural networks.

Abstract: A multi-sensor fusion method and system for intelligent driving vehicles are provided, which relate to the technical field of intelligent driving vehicles. The method includes: establishing an extended target tracker based on a GM-PHD algorithm and a rectangular target model of a detected object; processing detection information of a millimeter-wave radar by using the extended target tracker to obtain millimeter-wave radar track information of the detected object; processing detection information of a laser radar by using the established bounding-box detector and a JPDA tracker provided with an IMM-UKF to obtain laser-radar track information of the detected object; processing the millimeter-wave radar track information and the laser-radar track information by performing time-space conversion to obtain a central fusion node; and processing the central fusion node by using an IMF algorithm to obtain global track information.

Abstract: Disclosed are a method and a device for identifying full-section excavation parameters of large-section tunnel with broken surrounding rock, which is capable of solving the problem of inaccurate arrangement of blasting hole points in tunnel excavation engineering, including following steps: establishing a three-dimensional finite element model based on a blasting section design of a tunnel; performing a simulation with the three-dimensional finite element model based on blasting design parameters to obtain blasting quality parameters; selecting a group closest to a preset quality parameter from multiple groups of the blasting design parameters as target blasting design parameters, wherein the preset quality parameter is an acceptance grade standard of the tunnel; obtaining first thermal imaging information of a first hot spot of a surface to be blasted; calibrating actual hole spacing parameters based on the first thermal imaging information and the target blasting design parameters.

Abstract: In various examples, images (e.g., novel views) of an object may be rendered using an optimized number of samples of a 3D representation of the object. The optimized number of the samples may be determined based at least on casting rays into a scene that includes the 3D representation of the object and/or an acceleration data structure corresponding to the object. The acceleration data structure may include features corresponding to characteristics of the object, and the features may be indicative of the number of samples to be obtained from various portions of the 3D representation of the object to render the images. In some examples, the 3D representation may be a neural radiance field that includes, as a neural output, a spatially varying kernel size predicting the characteristics of the object, and the features of the acceleration data structure may be related to the spatially varying kernel size.

Abstract: Disclosed is a method for improving alkaline soil and enhancing carbon capture using a sludge stabilization product. The method includes the following steps: subjecting sludge to aerobic composting to obtain a stabilized product A; subjecting one part of the stabilized product A to extraction to obtain humus B; subjecting the other part of the stabilized product A to hydrothermal extraction to obtain a soluble organic matter rich in amino acids and organic salts, and conducting evaporation to dryness to obtain a mixture C; subjecting a residue obtained during the extraction of the humus B and the mixture C to pyrolysis to obtain biochar D rich in metal oxides; mixing the stabilized product A, the humus B, the mixture C, and the biochar D fully to obtain a soil amendment E; and applying the soil amendment E to a surface layer of alkaline soil, and then cultivating a plant.

Abstract: In one embodiment, a method includes recording, by a camera of a client device, a video of a region of a first user's skin and estimating, from the recorded video, a current ratio of ratios (RoR) for the first user corresponding to the first user's current blood-oxygen saturation. The method further includes converting the first user's determined RoR to a transformed RoR for the first user based at least in part on a baseline user's RoR determined while generating a trained SpO2 prediction model. The trained SpO2 prediction model is trained to estimate the baseline user's SpO2 value based on an input RoR value from the baseline user. The method further includes determining, by the trained SpO2 prediction model and based on the transformed RoR for the first user, the first user's current estimated blood-oxygen saturation.

Abstract: A computer-implemented method includes: receiving, from a sensor of an electronic device, a photoplethysmography (PPG) signal about a user; dividing the received PPG signal into a first set of waveforms; checking qualities of the first set of waveforms and generating a second set of waveforms based on the checked qualities of the first set of waveforms; extracting a plurality of morphological features of each waveform of the second set of waveforms and calculating a plurality of time/amplitude factors based on the extracted plurality of morphological features; estimating, using an artificial intelligence model, a stress level of the user, based on the calculated plurality of time/amplitude factors; and providing the estimated stress level to the user.

Abstract: Systems and methods for monitoring a sensor network are described. The system includes multiple sensors and an upstream device, and the sensors are paired in turn as transmitting and receiving sensors. The sensors collecting signal strength data for each sensor pair corresponding to beacons transmitted and received by the sensors. The upstream device generates an aggregate fingerprint based on the signal strength data, generates a zone fingerprint for each zone based on the aggregate fingerprint, and determines a wireless communication performance of the sensor network based on the zone fingerprints. The aggregate fingerprint includes a signal strength value for each sensor pair. Each zone fingerprint includes the signal strength value for each sensor pair of the corresponding zone. A sensor network configuration is changed for one or more zones based on the wireless communication performance of the sensor network.

Abstract: A real-time location system comprises sensors and an upstream device communicating with the sensors. Sensor pairs of the sensors include a transmitting sensor and a receiving sensor. Each sensor is assigned as the transmitting sensor in turn, while all other sensors are designated as the receiving sensors and collect signal strength data. The upstream device determines a labelled dataset based on the signal strength data for the sensor pairs and zone labels associated with the signal strength data. The RTLS ML model is trained based on the labelled dataset.

Abstract: A method performed by at least one processor includes obtaining an image of a subject; preprocessing the image of the subject; inputting the preprocessed image into a machine learning model trained in accordance with a first frequency distribution corresponding to a first ground truth obtained from one or more sensors performing a vital measurement on one or more test subjects; and obtaining, from the machine learning model, an estimate of a signal corresponding to the vital measurement of the subject.

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: Provided are a class of compounds, a stereoisomer, an optical isomer, a pharmaceutically acceptable salt, a prodrug, a solvate (for example, a hydrate) or an isotope derivative thereof. The compounds have a tri-heterocyclic structure (for example, the structure represented by formula (A)), which is a novel structure, thereby providing a new direction for the development of SOS1 inhibitor drugs. In-vitro enzyme activity inhibition activity studies show that the compounds have a relatively strong inhibition effect on SOS1 and can be used as a prospective compound for preventing and/or treating SOS1-mediated diseases. Moreover, said compounds also exhibit significant inhibitory activity on NCI-H358 cell proliferation. Furthermore, a specific synthesis method is provided. The synthesis method is simple in process, convenient to operate and beneficial to large-scale industrial production and use.

Abstract: The present invention relates to a process for the preparation of a polyarylether copolymer (P), the polyarylether copolymer (P) obtained by the process and a process for the preparation of a membrane comprising the polyaryl-ether copolymer (P) and the membrane itself.

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: Methods and systems are disclosed. Methods may include obtaining well data along an interval of a well and identifying a first candidate interval within the interval using the well data. The well data includes acoustic data and porosity data. A formation surrounding the well within the first candidate interval includes micropores. The methods may further include determining mechanical parameter data along the first candidate interval based on the acoustic data and identifying a second candidate interval within the first candidate interval based on the mechanical parameter data and the porosity data. The methods may still further include determining water saturation data along the second candidate interval based on the well data, identifying a productive interval within the second candidate interval based on the water saturation data and a water saturation threshold, and determining a completion plan for the well based on the productive interval.

Abstract: A structure for reducing displacement of a magnetic sensor in an open loop magnetic core is provided. The structure can include a body having a first end and a second end. The structure can include a first elasticity component connected to the first end extending in a direction away from the body and a second elasticity component connected to the second end extending in a direction away from the body. The structure can include two clamp components connected to the body between the first and second ends, where the two clamp components are configured to secure the magnetic sensor. The structure can be compressible in response to an application of force to outer surfaces of the elasticity components.

Abstract: Generation of three-dimensional (3D) object models may be challenging for users without a sufficient skill set for content creation and may also be resource intensive. One or more style transfer networks may be used for part-aware style transformation of both geometric features and textural components of a source asset to a target asset. The source asset may be segmented into particular parts and then ellipsoid approximations may be warped according to correspondence of the particular parts to the target assets. Moreover, a texture associated with the target asset may be used to warp or adjust a source texture, where the new texture can be applied to the warped parts.

Abstract: Hydrocarbon extraction may be coupled with subterranean hydrogen storage.