Abstract: Methods and systems for synthesizing multicompartment capsules are disclosed, as well as multicompartment polymer capsules formed in accordance with disclosed techniques. At least one plurality of polymer capsules are formed via a capsule-forming process. A feed solution and a reservoir solution are provided, each comprising a biopolymer. The feed solution biopolymer and the reservoir solution biopolymer have opposite charges. Droplets of the feed solution are introduced into the reservoir solution, thereby forming via electrostatic complexation a plurality of polymer capsules. At least a portion of the resulting polymer capsules are then encapsulated in a larger polymer capsule via a similar process, wherein the feed solution utilized for the encapsulation process also comprises the formed smaller capsules.

Abstract: Presented herein are systems and methods for an end-to-end solution for object removal from a video using adaptive learning. In one or more embodiments, using a pre-trained image inpainting model, in-scene training data may be generated using optical-flow guided sampling. In one or more embodiments, the sampled patches are used to generate a training dataset, which is used to further train the image inpainting model until reaching a stop condition. The adaptively trained inpainting model may be used to generate a modified video in which the desired object or objects have been removed and the corresponding removed portion(s) have been filled (or inpainted) to preserve the integrity of the image.

Abstract: A fully-automatic aluminum thermal-spraying corrosion prevention production line based on robots and visual recognition is provided. The production line comprises an automatic feeding system comprising feeding carrying and conveying mechanisms; a laser derusting system comprising a derusting robot, a laser cleaning nozzle and derusting conveying mechanisms; an aluminum thermal-spraying system comprising an aluminum spraying robot and an aluminum thermal-spraying gun; an automatic rolling system comprising a rolling pedestal, a first rolling wheel, a second rolling wheel and a rolling drive mechanism; a laser cutting system; and a discharging and stacking system.

Abstract: The present disclosure discloses a treatment process and treatment system of enhanced up-flow multiphase wastewater oxidation. The treatment process includes the following steps: 1) the wastewater is fed into the up-flow multiphase wastewater oxidation system for oxidation treatment; 2) the wastewater is fed to the solid-liquid separation system for solid-liquid separation, the separated heterogeneous catalytic carrier (5) is fed back to the up-flow multiphase wastewater oxidation system, and the wastewater is fed to the neutralization and degassing system; 3) the wastewater is fed to the neutralization and degassing system to adjust a pH of the wastewater to 5.5-7.5, and then is degassed by stirring; 4) the wastewater is fed to the flocculation and sedimentation system for sludge-water separation, a supernatant is discharged, and an outward harmless treatment is performed after a pressure filtration of a sedimentary iron sludge.

Abstract: Compositions and methods are provided for simple, instrument-free and sensitive methods that enable rapid, point-of-care detection of nucleic acid molecules of interest. This is based on a surprising discovery that the relative efficiencies of amplification and CRISPR-based cleavage and detection can be tuned to favor amplification until sufficient amplified products are generated to enable detection. Example approaches include design of guide RNA and primers to target nonoptimal PAM sequences, or sequence-engineering Cas nucleases to reduce activities informing a ribonucleoprotein with the guide RNA or binding to or cleaving the substrate nucleic acid.

Abstract: A method may include obtaining a frame of a video stream of multiple video streams of a video conference, obtaining face detection information identifying a face size and a face position of at least one face detected in the frame, and cropping and scaling the frame according to at least one crop and scale parameter using the face detection information to obtain a modified first frame. The at least one crop and scale parameter is based on frames of the multiple video streams. The frames include the frame. The method may further include presenting the modified frame.

Abstract: An electrified vehicle and associated inverter configured for powering two different types of external loads include first and second phase/line legs combined with a first neutral leg coupled to a vehicle chassis, and a second floating neutral leg that is not coupled to the vehicle chassis. The first/second phase legs and first neutral leg are coupled to a first receptacle configured to receive a corresponding plug to power a first load, such as a power tool or accessory. The first/second phase legs and the second neutral leg are coupled to a second receptacle configured to receive a corresponding plug to power a second load, such as a home or building having an earth grounding electrode. The inverter may include an isolation transformer between the loads and the traction battery, and/or may be configured to provide single phase, split-phase, or three-phase power for either or both of the neutral connections.

Abstract: A method of tracking a presenter during a videoconference, comprising: detecting, in a data stream, data indicating a presence of one or more persons at a videoconferencing endpoint, the data stream comprising a plurality of frames; detecting tracker initiation data (e.g., that a person is actively talking, or that a person has raised their hand, or both) in the data stream; determining a subject of interest responsive to the tracker initiation data, and tracking the subject of interest as they move while making a presentation.

Abstract: A method (1000) for operating cameras (202) in a cascaded network (100), comprising: capturing a first view (1200) with a first lens (326) having a first focal point (328) and a first centroid (352), the first view (1200) depicting a subject (1106); capturing a second view (1202) with a second lens (326) having a second focal point (328) and a second centroid (352); detecting a first location of the subject (1106), relative the first lens (326), wherein detecting the first location of the subject (1106), relative the first lens (326), is based on audio captured by a plurality of microphones (204); estimating a second location of the subject (1106), relative the second lens (326), based on the first location of the subject (1106) relative the first lens (326); selecting a portion (1206) of the second view (1202) as depicting the subject (1106) based on the estimate of the second location of the subject (1106) relative the second lens (326).

Abstract: A videoconferencing endpoint is described that uses a cascading sequence of convolutional neural networks to perform face detection and upper body detection of participants in a videoconference at the endpoint, where at least one member of the sequence of neural networks performs upper body detection, and where the final member of the sequence of neural networks performs face detection based on the results of the upper body detection. The models of the neural networks are trained on both large datasets of faces well as images that have been distorted by a wide-angle camera of the videoconferencing endpoint.