Abstract: This disclosure provides compounds of Formula I, compositions comprising the same, and methods of using the same, including use in treating various diseases and conditions, e.g., those involving ferroptosis.

Abstract: A compensation method for overlay deviation, including: obtaining x first inspection distribution maps; and performing a first iteration on wafers of an n-th lot according to the x first inspection distribution maps to obtain an n-th high-order overlay deviation model, that the wafers of the n-th lot include a plurality of n-th wafers, n is a natural number greater than or equal to one, and performing the first iteration includes: obtaining x n-th wafers to be inspected from the wafers of the n-th lot; allocating the x first inspection distribution maps, that each n-th wafer to be inspected corresponds to one first inspection distribution map; obtaining an n-th overlay accuracy information of each n-th wafer to be inspected according to a corresponding first inspection distribution map; and obtaining the n-th high-order overlay deviation model according to the x n-th overlay accuracy information.

Abstract: The method includes: obtaining medical detection data to be interpreted, where the medical detection data to be interpreted includes a detection image and indicator data; performing image recognition on the detection image, to obtain image recognition data; and interpreting, by using a rule library, the indicator data and the image recognition data, to obtain an interpretation result, where an interpretation rule in the rule library is obtained by mining and analyzing a plurality of pieces of interpreted data based on a data mining algorithm, and the rule library is dynamically updated with an interpretation process. Because the interpretation rule in the rule library is obtained by mining and analyzing the plurality of pieces of interpreted data based on the data mining algorithm, a potential data law that is difficult to be discovered by human can be mined, and a more accurate interpretation rule can be extracted.

Abstract: An optical synapse device which can be used in a neuromorphic machine vision system to enable broadband sensing and fast data processing in applications where machine vision is used, such as for example in real-time video analysis, autonomous vehicles and medical diagnosis. The novel optical synapse device enables image sensing, convolutional processing, and computing. Multiple synaptic plasticity triggered by photons can implement photonic computing and information transmission. Convolutional processing is realized by ultra-low energy kernel generators fully controlled by photons. The optical synapse device shows the ability of conductance modulations under electronic stimulations that implement neuromorphic computing. The novel two-terminal broadband optoelectronic synapse device enables front-end retinomorphic image sensing, convolutional processing, and back-end neuromorphic computing.

Abstract: Provided are compounds of Formula I, compositions comprising the same, and methods of using the same, including use in treating various diseases and conditions, e.g., those involving ferroptosis.

Abstract: A printhead is provided, where the printhead includes a printing base and a printing chip, the printing base includes a fluid inlet channel, a fluid outlet channel, and a storage slot, and the fluid inlet channel and the fluid outlet channel are communicated with the storage slot; the printing chip is encapsulated on a surface of the printing base, and communicated with the storage slot to form an internal microfluidic channel. The internal microfluidic channel allows old printing liquid to be entirely discharged in one go, reducing the risk of contamination, and making it easier to discharge printing liquid. The internal microfluidic channel has a small holding volume, leading to substantial cost savings; a one-way flow path between the inlet and outlet is established, and the high pressure and rapid flow within the path enhance the fluid discharge rate.

Abstract: In accordance with some embodiments, a light detection and ranging (LiDAR) system comprises: a control system housing; a first LiDAR head housing separate and distinct from the control system housing; a light source within the control system housing, the light source configured to produce a first pulse signal; a light detector within the control system housing configured to detect a first return pulse signal associated with the pulse signal; a first pulse steering system within the first LiDAR head housing, the first pulse steering system configured to direct the first pulse signal in a first direction; a first fiber configured to carry the first pulse signal from the light source to the first pulse steering system; and a second fiber configured to carry a first returned pulse signal from the first LiDAR head housing to the light detector.

Abstract: An anti-reflective coating composition comprises an organic polymer. The organic polymer comprises a crosslinkable polymer. The crosslinkable polymer comprises a monomer unit formed by a monomer represented by formula (I): wherein R1 is selected from substituted or unsubstituted C2-C10 alkenyl, and R2 and R3 are each independently selected from H, substituted or unsubstituted C1-C6 alkyl, and substituted or unsubstituted C6-C20 aryl. Compared with the prior art, the subject crosslinkable polymer comprises the monomer unit that can be self-crosslinked with functional groups such as hydroxyl, amino, and sulfhydryl, such that a crosslinking agent does not need to be added to a coating. The generation of gas during baking process of the composition can be effectively reduced or eliminated, and some unnecessary cleaning process is avoided by doing so. The pattern damage due to solid particle caused by gas condensation can also be avoided.

Abstract: A method of preparing biodegradable Zn—Mg—Bi zinc alloy includes: melting magnesium under an inert atmosphere to obtain a magnesium melt; adding bismuth particles to the magnesium melt followed by reaction under stirring and heat preservation treatment to obtain a Mg—Bi alloy melt; allowing the Mg—Bi alloy melt to stand in a furnace; subjecting the Mg—Bi alloy melt to refining, slagging-off, casting and demoulding to obtain Mg-50 wt. % Bi alloy ingot; melting zinc to obtain a zinc melt; adding the Mg-50 wt. % Bi alloy ingot and pure magnesium or pure bismuth followed by heating to a preset temperature, stirring and heat preservation to obtain a Zn—Mg—Bi alloy melt; allowing the Zn—Mg—Bi alloy melt to stand in a furnace followed by refining, slagging-off, casting and demoulding to obtain the biodegradable Zn—Mg—Bi zinc alloy.

Abstract: Embodiments discussed herein refer to a relatively compact and energy efficient LiDAR system that uses a multi-plane mirror in its scanning system.

Abstract: A voltage detection circuit and method for an integrated circuit, and an integrated circuit are provided. The voltage detection circuit includes: a first current source, a first branch and a second branch. A current outputted by the first current source is allocated to the first branch and the second branch. The first branch includes a first voltage control current component and a first load connected in series. The second branch includes a current signal detection component and a second load connected in series. A voltage signal to be detected is inputted to a control signal input terminal of the first voltage control current component. The current signal detection component is configured to output, in real time, a preset signal characterizing a second current flowing through the second branch, to determine change of the voltage signal to be detected based on the preset signal.

Abstract: An apparatus to facilitate learning reliable keypoints in situ with introspective self-supervision is disclosed. The apparatus includes one or more processors to provide a view-overlapped keyframe pair from a pose graph that is generated by a visual simultaneous localization and mapping (VSLAM) process executed by the one or more processors: determine a keypoint match from the view-overlapped key frame pair based on a keypoint detection and matching process, the keypoint match corresponding to a keypoint: calculate an inverse reliability score based on matched pixels corresponding to the keypoint match in the view-overlapped keyframe pair: identify a supervision signal associated with the keypoint match, the supervision signal comprising a keypoint reliability score of the keypoint based on a final pose output of the VSLAM process; and train a keypoint detection neural network using the keypoint match, the inverse reliability score, and the keypoint reliability score.

Abstract: Disclosed herein is a gesture recognition device that includes an input interface configured to receive a sequence of images, each image showing a body part with which a gesture is performed from a viewpoint of a camera. The gesture recognition device also generates a sequence of motion-compensated images from the sequence comprising generating a motion-compensated image for an image of the sequence by compensating the movement of the camera viewpoint from a reference camera viewpoint to the viewpoint from which the image shows the body part based on the image and a motion-compensated image of the sequence generated for a preceding image of the sequence which precedes the image in the sequence and estimate the gesture from the sequence of motion-compensated images.

Abstract: A long-term object tracker employs a continuous learning framework to overcome drift in the tracking position of a tracked object. The continuous learning framework consists of a continuous learning module that accumulates samples of the tracked object to improve the accuracy of object tracking over extended periods of time. The continuous learning module can include a sample pre-processor to refine a location of a candidate object found during object tracking, and a cropper to crop a portion of a frame containing a tracked object as a sample and to insert the sample into a continuous learning database to support future tracking.

Abstract: The present invention relates to a method for preparing high-purity vanadium pentoxide from vanadium-bearing shale by all-wet process. The technical solution is: the “Gradient continuous leaching system of vanadium-bearing shale” is used to wet activate and compound leach vanadium-bearing shale to obtain vanadium-containing acid leachate. The “pH adjusting device of the vanadium-containing acid leachate” is used to adjust the pH of vanadium-containing acid leaching leachate. The post-treatment solution is subjected to hydroxime countercurrent extraction after oxidation, and the raffinate returns to the water using in the wet activation and electrodialysis after neutralization, and the loaded organic phase is regenerated by countercurrent reduction stripping. The regenerated organic phase directly returns to hydroxime countercurrent extraction.

Abstract: A granite stone powder phosphoric acid-based geopolymer and a preparation method thereof are provided. The granite stone powder phosphoric acid-based geopolymer is prepared from following raw materials in parts by weight: 35-70 parts of granite stone powder, 15-50 parts of metakaolin, 8-50 parts of fly ash, 8-30 parts of acid activation solution and 8-30 parts of solvent.

Abstract: A cab frame includes a support framework, where the support framework includes a bottom frame, a top frame, and a four-upright-column structure supported between the bottom frame and the top frame; the four-upright-column structure includes two front upright columns and two rear upright columns, and an inner dimension of the cab frame increases along the bottom-to-top direction.

Abstract: An example apparatus for generating synthesized images includes a receiver to receive a frame, a mask and external images. The apparatus also includes a foreground augmenter to generate augmented foregrounds in the frame based on the mask. The apparatus includes a background augmenter to generate augmented backgrounds based on the frame, the mask, and the external images. The apparatus also further includes an image synthesizer to generate a synthesized image based on the generated augmented foregrounds and the augmented backgrounds.

Abstract: Generally this disclosure describes a video communication system that replaces actual live images of the participating users with animated avatars. A method may include selecting an avatar; initiating communication; detecting a user input; identifying the user input; identifying an animation command based on the user input; generating avatar parameters; and transmitting at least one of the animation command and the avatar parameters.

Abstract: Performing online learning for a model to detect unseen actions in an action recognition system is disclosed. The method includes extracting semantic features in a semantic domain from semantic action labels, transforming the semantic features from the semantic domain into mixed features in a mixed domain, and storing the mixed features in a feature database. The method further includes extracting visual features in a visual domain from a video stream and determining if the visual features indicate an unseen action in the video stream. If no unseen action is determined, applying an offline classification model to the visual features to identify seen actions, assigning identifiers to the identified seen actions, transforming the visual features from the visual domain into mixed features in the mixed domain, and storing the mixed features and seen action identifiers in the feature database.