Abstract: This disclosure provides systems, methods, and apparatus related to boron nitride nanomaterials. In one aspect, a method includes generating a directed flow of plasma. A boron-containing species is introduced to the directed flow of the plasma. Boron nitride nanostructures are formed in a chamber. In another aspect, a method includes generating a directed flow of plasma using nitrogen gas. A boron-containing species is introduced to the directed flow of the plasma. The boron-containing species can consist of boron powder, boron nitride powder, and/or boron oxide powder. Boron nitride nanostructures are formed in a chamber, with a pressure in the chamber being about 3 atmospheres or greater.

Abstract: A device for the delivery and/or application of a therapeutic composition in a delivery form into the rectal and/or vaginal cavity, the device includes an externally wearable pad; a non-absorbent platform for receiving the delivery form of therapeutic composition; and a sheath joining the platform to the pad such that a user's finger can be received in the sheath.

Abstract: A hyper-graph sketching framework receives graph data set to generate non-singular reverse cascades in a network to assess influence dynamics therein. A high-quality influence oracle for seed sets uses the resulting sketch data set generated from the non-singular reverse cascades to output estimation of influence.

Abstract: A method and apparatus for an adaptive Hypertext Transfer Protocol (HTTP) streaming service using metadata of content are provided. The metadata of the content may be efficiently divided for a purpose of use of a terminal based on general media information or specific media information, and may be transmitted to the terminal. A group may include one or more representations of content. The metadata may include a group element, and the group element may provide a summary of attributes of one or more representations included in the group.

Abstract: The operation of a wireless power transmission system is to be stabilized. A wireless power supply unit includes a power transmitting module and a power receiving module. The power transmitting module includes a transmission coil to send out AC power. The power receiving module includes: a reception coil to receive from the transmission coil at least a portion of the AC power; and a compensation circuit connected to the reception coil, the compensation circuit including at least one compensation element to counteract at least a part of a leakage reactance or an excitation reactance of a coil pair including the transmission coil and the reception coil.

Abstract: A conductive network fabrication process is provided and includes filling a hole formed in a substrate with dielectric material, laminating films of the dielectric material on either side of the substrate, opening a through-hole through the dielectric material at the hole, depositing a conformal coating of dielectric material onto an interior surface of the through-hole and executing seed layer metallization onto the conformal coating in the through-hole to form a seed layer extending continuously along an entire length of the through-hole.

Abstract: A hinge module capable of fixing a first housing and a second at various opening angles and a foldable electronic device including the same are provided.

Abstract: Devices, systems and methods for selectively providing live sporting event video at sports gaming devices may include decrypting a first encrypted video signal is decrypted into a first decrypted video signal that includes a first encoded video stream of a first live sporting event. The first encoded video stream may be decoded into a first decoded video stream that includes a first video of the first live sporting event, which may be displayed by a display device along with first wager information to facilitate a user placing a wager on the first live sporting event. In response to receiving an instruction to display a second video of a second live sporting event, a second encrypted video signal may be decrypted into a second decrypted video signal that includes a second encoded video stream of the second live sporting event. The second encoded video stream may be decoded into a second decoded video stream that includes the second video of the second live sporting event.

Abstract: Compositions that include polymerases with features for improving entry of nucleotide analogues into active site regions and for coordinating with the nucleotide analogues in the active site region are provided. Methods of making the polymerases and of using the polymerases in sequencing and DNA replication and amplification as well as kinetic models of polymerase activity and computer-implemented methods of using the models are also provided.

Abstract: An oblivious distributed file system is provided using an oblivious random access machine (ORAM), including an ORAM balanced tree structure, where each node in the tree is configured to store data blocks, the structure including at least two shares. The system also includes at least two ORAM servers, each of the servers configured to communicate with a client ORAM device, and programmed to facilitate storage of a different subset of the shares of the tree structure using a distributed file system and to implement an access procedure of a tree-based ORAM using the tree structure, including a retrieval phase and an eviction phase. In the retrieval phase, the servers utilize an authenticated Private Information Retrieval (PIR) protocol to retrieve data blocks as requested from the client ORAM device. In the eviction phase, the servers utilize a linear secret sharing scheme.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, used to implement a self-training technique for generating neural network (NN) models. A first model is generated in response to training a first NN using labeled data. A respective pseudo label is generated for each item of unlabeled data when items of unlabeled data are processed using the first model. A second NN is used to process each item of a combined dataset to train the second NN. The combined dataset includes items of labeled data and a corresponding item for each respective pseudo label. Attributes of items in the combined dataset are modified to inject noise into the combined dataset when the second NN is trained. A second model is generated after the second NN is trained by processing items in the combined dataset, including processing items that represent the noise injected into the combined dataset.

Abstract: Methods for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a pre-determined set of discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: Methods for training a convolutional neural network to register images for electronic designs include inputting a first pair of images aligned in a first modality and a second pair of images aligned in a second modality. An affine transformation is generated with a convolutional neural network, using one image from the first pair of images and one image from the second pair of images. The one image from the first pair of images is in the first modality and the one image from the second pair of images is in the second modality. Methods for registering images for electronic designs include inputting a pair of images, wherein the pair of images comprises a computer aided design (CAD) image and a scanning electron microscope (SEM) image. The CAD image is registered to the SEM image, using a trained convolutional neural network. The trained convolutional neural network further comprises an affine transformation.

Abstract: Compositions comprising activated topoisomerase adaptors (TOPO-adaptors) and methods of using the activated TOPO-adaptors are provided for preparing a library of target DNA duplexes derived from sample polynucleotides (e.g., DNA, RNA) for the streamlined preparation of a large number of samples. Such libraries may be used for Next Generation Sequencing (NGS).

Abstract: Systems and methods are provided for training and using energy-based language models such as cloze language models. In particular, one aspect of the present disclosure is directed to an energy-based cloze language model for representation learning over text. In some instances, the models provided herein can be referred to as the “Electric” model. Similar to the BERT model, example models proposed herein can be a conditional generative model of tokens given their contexts. However, example models proposed herein do not mask text or output a full distribution over tokens that could occur in a context. Instead, the example proposed models assign a scalar energy score to each input token. Another aspect of the present disclosure provides techniques to train the proposed models to assign low energies to data tokens and high energies to other ones using an algorithm based on noise-contrastive estimation.

Abstract: A processor that includes a register file, a read shifter, a decode unit and a plurality of functional units is introduced. The register file includes a read port. The read shifter includes a plurality of shifter entries and is configured to shift out a shifter entry among the plurality of shifter entries every clock cycle. Each of the plurality of shifter entries is associated with a clock cycle and each of the plurality of shifter entries comprises a read value that indicates an availability of the read port of the register file for a read operation in the clock cycle. The decode unit is coupled to the read shifter and is configured to decode and issue an instruction based on the read values included in the plurality of shifter entries of the read shifter. The plurality of functional units is coupled to the decode unit and the register file and is configured to execute the instruction issued by the decode unit and perform the read operation to the read port of the register file.

Abstract: Methods for fracturing or mask data preparation are disclosed in which a set of single-beam charged particle beam shots is input; a calculated image is calculated using a neural network, from the set of single-beam charged particle beam shots; and a set of multi-beam shots is generated based on the calculated image, to convert the set of single-beam charged particle beam shots to the set of multi-beam shots which will produce a surface image on the surface. Methods for training a neural network include inputting a set of single-beam charged particle beam shots; calculating a set of calculated images using the set of single-beam charged particle beam shots; and training the neural network with the set of calculated images.

Abstract: Methods for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of shape data. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to determine what information to keep based on the weights.

Abstract: Provided is an electronic device including: a housing; a camera module oriented in a first direction inside the housing; a camera window arranged in front of the camera module in the first direction; a cover including an opening into which the camera window is insertable, the cover coupled to the housing; and a window frame supporting the camera window and mounted on the cover. The window frame includes: a frame body including a support portion arranged in the opening and supporting the camera window, and a mounting portion extending from the support portion in a second direction that is perpendicular to the first direction and overlapped by the cover in the first direction; a retention member retaining a first gap between the mounting portion and the cover in the first direction; and a waterproof body configured to be elastically deformed while arranged between the mounting portion and the cover.

Abstract: Methods for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a pre-determined set of discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.