Abstract: A semiconductor device includes a semiconductor substrate, a plurality of isolation structures on the semiconductor substrate, and a plurality of blocking structures disposed directly over the isolation structures. The blocking structures have a lower reflectivity than the isolation structures.

Abstract: A connector assembly includes a guiding shield cage, a receptacle connector, a partitioning bracket and a movable heat sink. The receptacle connector is provided to a rear segment of an interior of the guiding shield cage, the receptacle connector has an upper receptacle and a lower receptacle. The partitioning bracket is provided in the guiding shield cage, the partitioning bracket and the guiding shield cage together define an upper receiving space which corresponds to the upper receptacle and a lower receiving space which corresponds to the lower receptacle. The movable heat sink is assembled to the partitioning bracket, the movable heat sink is capable of moving relative to the partitioning bracket between a front position where the movable heat sink is positioned in front of a front end of the upper receptacle a front end of the lower receptacle and a rearward position where the movable heat sink at least partially enters into between the upper receptacle and the lower receptacle.

Abstract: An electronic device, including a host, a main display, an auxiliary display, and a lifting mechanism, is provided. The main display is pivoted to the host. The auxiliary display is disposed on the host. The lifting mechanism is disposed between the auxiliary display and the host. The lifting mechanism is configured to lift the auxiliary display and maintain a lifting height of the auxiliary display.

Abstract: This application is directed to predicting vehicle actions according to a hierarchy of interconnected vehicle actions. The hierarchy of interconnected vehicle actions includes a plurality of predefined vehicle actions that are organized to define a plurality of vehicle action sequences. A first vehicle obtains one or more images of a road and a second vehicle, and predicts a sequence of vehicle actions of the second vehicle through the hierarchy of interconnected vehicle actions using the one or more images. The first vehicle is controlled to drive at least partially autonomously based on the predicted sequence of vehicle actions of the second vehicle. In some embodiments, the hierarchy of interconnected vehicle actions includes a first action level that is defined according to a stage of a trip and corresponds to three predefined vehicle actions of: “start a trip,” “move in a trip,” and “complete a trip.

Abstract: The present disclosure provides a method for treating arthritis by using a stem cell preparation. The stem cell preparation of the present disclosure can effectively delay cartilage degeneration caused by arthritis, and it is confirmed by whole blood analysis and blood biochemical analysis that the stem cell preparation in the form of three-dimensional stem cell spheres provides a safe treatment for arthritis. The present disclosure also provides a method for preparing the stem cell preparation.

Abstract: A portable electronic device including a first body, a second body, a stand, and a hinge structure is provided. The stand has a first pivot part and a second pivot part opposite to the first pivot part, wherein the first pivot part is pivotally connected to the first body, and the second body is pivotally connected to the second pivot part. The hinge structure includes a first bracket secured to the second body, a second bracket secured to the second pivot part of the stand, a first movable base, a first shaft secured to the first bracket and pivoted to the first movable base, a second movable base, a second shaft secured to the first movable base and pivoted to the second movable base, and a sliding shaft fixed to the second movable base and slidably connected to the second bracket.

Abstract: The present disclosure generally relates to compounds class I HDAC inhibitors, their production and applications. The compounds possess epigenetic immunomodulatory activities in the tumor microenvironment (TME) and thus inhibit growth of tumor cells.

Abstract: A hinge assembly, including a rotating shaft and a pair of cams, is provided. The cams are sleeved on the rotating shaft so as to be rotatable relative to each other. The pair of cams respectively has a first flat surface and a second flat surface facing each other, and a curved surface adjacent to the first flat surface and the second flat surface. The first flat surface of one of the cams passes by the curved surface to move from one flat surface to the other flat surface of the other cam, so as to enable the pair of cams to move relatively away or closer along an axial direction of the rotating shaft. The curved surfaces of the cams are in surface contact when the first flat surface passes by the curved surface. A portable electronic device is also provided.

Abstract: A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.

Abstract: Embodiments provide reinforcement learning (RL) techniques for transferring machine learning obtained in one domain to another. A neural network (NN) of a source domain may be trained using training data associated with that domain. In some cases, the training data is inaccessible to a target domain for which a similar NN is desired. A number of target NNs may be initialized with a portion of the parameters transferred from the source NN. A computing agent may utilize RL techniques to train the target NNs using training data of the target domain. The target NN with the most beneficial subset of transferred parameters may be selected. By using the RL techniques to identify the most advantageous combination of transferred parameters, a similarly accurate NN may be provided in the target domain at a fraction of the otherwise needed time and without accessing the original training data.

Abstract: A data processing system can be operated in one of a preprocessing mode, a short-read mapping mode, a sequence assembly mode or a variant calling mode that are related to a to-be-tested DNA sequence. The data processing system includes a sorting engine that supports high-speed processing of sorting in the preprocessing mode and the sequence assembly mode, and a dynamic processing engine that supports dynamic programming calculations in the short-read mapping mode and the variant calling mode. The data processing system may be implemented on a system-on-chip (SoC) for performing accelerated processing of gene sequencing data with reduced memory requirements.

Abstract: An electronic device includes a host, a main display, an auxiliary display, and a hinge mechanism. The auxiliary display is located between the host and the main display and includes a sliding part and a lifting part. The sliding part is slidably connected to the host. The hinge mechanism includes a first bracket, a second bracket pivotally connected to the first bracket, and a third bracket pivotally connected to the second bracket. The first bracket is secured to the host, and the second bracket is secured to the main display. The third bracket is secured to the lifting part of the auxiliary display.

Abstract: An electronic device, including a host, a main display, an auxiliary display, and a lifting mechanism, is provided. The main display is pivoted to the host. The auxiliary display is disposed on the host. The lifting mechanism is disposed between the auxiliary display and the host. The lifting mechanism is configured to lift the auxiliary display and maintain a lifting height of the auxiliary display.

Abstract: A method includes filtering a point cloud transformation of a 3D object to generate a 3D lattice and processing the 3D lattice through a series of bilateral convolution networks (BCL), each BCL in the series having a lower lattice feature scale than a preceding BCL in the series. The output of each BCL in the series is concatenated to generate an intermediate 3D lattice. Further filtering of the intermediate 3D lattice generates a first prediction of features of the 3D object.

Abstract: A semiconductor device includes a semiconductor substrate, a plurality of isolation structures on the semiconductor substrate, and a plurality of blocking structures disposed directly over the isolation structures. The blocking structures have a lower reflectivity than the isolation structures.

Abstract: A method and system for content display. The method includes: capturing, by an imaging device, a plurality of images of an environment; generating, by a computing device, first user profiles based on appearance of users recognized in the images; detecting devices in the environment and associating the detected devices to the users to obtain associated devices that are held by the users; retrieving, by the computing device, second user profiles of the users based on identifications of the associated devices; selecting at least one content based on the first user profiles and the second user profiles; and displaying the at least one selected content.

Abstract: A system and method for providing unsupervised domain adaption for spatio-temporal action localization that includes receiving video data associated with a source domain and a target domain that are associated with a surrounding environment of a vehicle. The system and method also include analyzing the video data associated with the source domain and the target domain and determining a key frame of the source domain and a key frame of the target domain. The system and method additionally include completing an action localization model to model a temporal context of actions occurring within the key frame of the source domain and the key frame of the target domain and completing an action adaption model to localize individuals and their actions and to classify the actions based on the video data. The system and method further include combining losses to complete spatio-temporal action localization of individuals and actions.

Abstract: An electronic device includes a host, a main display, an auxiliary display, and a hinge mechanism. The auxiliary display is located between the host and the main display and includes a sliding part and a lifting part. The sliding part is slidably connected to the host. The hinge mechanism includes a first bracket, a second bracket pivotally connected to the first bracket, and a third bracket pivotally connected to the second bracket. The first bracket is secured to the host, and the second bracket is secured to the main display. The third bracket is secured to the lifting part of the auxiliary display.

Abstract: A method for making a semiconductor device may include forming shallow trench isolation (STI) regions in a semiconductor substrate defining an active region therebetween in the semiconductor substrate and a pad oxide on the active region. The method may further include removing at least some of the pad oxide, cleaning the active region to expose an upper surface thereof and define rounded shoulders of the active region adjacent the STI regions having an interior angle of at least 125°, and forming a superlattice on the active region. The superlattice may include a plurality of stacked groups of layers, each group of layers including a plurality of stacked base semiconductor monolayers defining a base semiconductor portion, and at least one non-semiconductor monolayer constrained within a crystal lattice of adjacent base semiconductor portions. The method may further include forming a semiconductor circuit including the superlattice.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search.