Abstract: The present invention discloses a pump for measuring a pressure of fluid to be transferred, a fluid transport system using the same, and a method for operating the system. The pump includes a pumping portion alternately generating a positive pressure and a negative pressure; a first diaphragm which is provided on one side of the pumping portion and of which a shape is changed as the positive pressure and the negative pressure are alternately generated; a transport chamber which sucks and discharges a transport target fluid corresponding to the deformation of the first diaphragm; a second diaphragm which is provided on the other side of the pumping portion; a monitoring chamber which is provided on one side of the second diaphragm and of which a pressure changes corresponding to the deformation of the second diaphragm; and a pressure measuring portion measuring a pressure change of the monitoring chamber.

Abstract: A method of fabricating an optical element, comprises fabricating a three-dimensional mold having a relief pattern complementary to a pattern of the optical element to be fabricated, contacting the relief pattern with a solidifiable transmissive material, and solidifying the material thereby forming a transmissive substrate having the pattern thereupon. The method also comprises contacting the transmissive substrate with one or more substances wherein a difference in refractive indices between the substance(s) and the transmissive substrate is less than about 0.1.

Abstract: Disclosed is an operating method of an electronic device which includes a processor performing machine learning of a monocular depth estimation module. The operating method includes obtaining, by the processor, a first image and a second image respectively photographed by a first camera and a second camera of different locations, inferring, by the processor, a plurality of multi-cyclic disparities by applying weights of the monocular depth estimation module to the first image plural times and calculating a plurality of multi-cyclic loss functions based on the first image, the second image, and the plurality of multi-cyclic disparities, and updating, by the processor, the weights of the monocular depth estimation module through machine learning, based on the plurality of multi-cyclic loss functions.

Abstract: An apparatus for text-to-image generation which is a self-supervised based on one-stage generative adversarial network and uses a discriminator network that extracts an image feature may comprise: a text encoder that extracts a sentence vector from input text; a discriminator that determines whether or not an image matches the text from the sentence vector and the image input from a generator; and a decoder that is connected to an encoder inside the discriminator, wherein the decoder and the encoder form an autoencoder structure inside the discriminator.

Abstract: Methods and compositions for diagnosing and vaccinating against Ehrlichia canis and Ehrlichia chaffeensis are provided.

Abstract: A system for directional detection of radiation, comprises a plurality of scintillating crystals, responsive to the radiation and being arranged three-dimensionally, with voids between adjacent crystals, such that there are crystals that are inner and crystals that are outer within the arrangement. The system also comprises a plurality of light sensors coupled to the crystals for receiving optical signals from the crystals and responsively generating electrical signals, and a data processor receiving an electrical signal separately from each light sensor and calculating a direction of the radiation based on relative intensities of the signals and mutual occultation among different crystals.

Abstract: Disclosed is a method of tracking multiple objects included in an image using a multi-object tracking apparatus including an integrated similarity neural network, the method including setting a tracking area in an input image, extracting at least one object candidate for a target object from the tracking area; extracting reference features for the target object, the object candidate, and the tracking area, selecting two of the target object, the object candidate, and the tracking area to evaluate similarity based on the reference features; allocating the object candidate to the target object on the basis of the evaluated similarity; and tracking the target object on the basis of a location of the allocated object candidate.

Abstract: There is provided a computer implemented method of manufacturing a truss of a three dimensional (3D) object representation, comprising: receiving a definition of the 3D object representation, arranging within an interior space of the 3D object representation, a plurality of instances of a sphere having a common radius to create a packed sphere arrangement, computing nodes of a truss for the 3D object representation, each respective node positioned at a center of each respective instance of each sphere of the packed sphere arrangement, computing beams of the truss by connecting adjacent nodes with respective beams, and providing code instructions for execution by a manufacturing device controller of a manufacturing device for manufacturing the truss.

Abstract: A method comprising receiving, as input, a data stream representing events; receiving a complex event pattern (CEP) specification representing an occurrence of a CEP in said data stream based on a set of conditions and set of event attributes; applying an algorithm to generate a current CEP plan configured to determine said occurrence of said CEP, wherein said current CEP plan comprises of a series of execution steps; optimize said current CEP plan by, iteratively: (i) executing said current CEP plan, (ii) identifying, with respect to each of said execution steps, one of said conditions whose verification causes said execution step to be included in said current CEP plan, and (iii) performing a re-verification of all of said identified conditions using said updated current values; and re-applying said algorithm when said re-verification fails with respect to at least one of said identified conditions, to generate an updated CEP plan.

Abstract: Yeast strains are disclosed that are capable of surviving high ethanol concentrations and propagating in high ethanol concentrations. Genes that are involved in ethanol tolerance are disclosed as well.

Abstract: Disclosed is a blockchain apparatus and method for mobile edge computing, the blockchain method comprising: receiving a user transaction from clients associated with a first edge chain, determining an execution order for transactions, processing the transactions according to the transaction processing order, reading and updating data on the first edge chain or reading and updating the data on a main chain of the main network depending on presence or absence of locality in the user transaction, creating an edge chain block by collecting the results of a batch of processed transaction, propagating the edge chain block to all local BSP auditor nodes associated with the first edge chain and all BSP servers in the main network.

Abstract: The present invention relates to a recombinant spike protein of the COVID-19 virus forming a trimer and a method for mass-producing the recombinant spike protein, and more specifically to a method for designing a recombinant gene expressing a recombinant spike protein of the COVID-19 virus forming a trimer for the purposes of enhancing immunogenicity and effective antigen delivery, and a method for mass-producing the recombinant spike protein in plants.

Abstract: A method of detecting an object using an object boundary localization uncertainty aware network and an object boundary localization uncertainty attention module may comprise: calculating a convolutional feature from a single image through a convolutional neural network of an existing object detection neural network and then learning a classification and location of an object to detect the object; inputting an obtained localization value and a ground truth value of the object to the object boundary localization uncertainty aware network to learn an object boundary localization uncertainty; calculating, by the object boundary localization uncertainty attention module, an object boundary feature using the obtained object boundary localization uncertainty and training an object detection correction neural network using the object boundary feature; and aggregating an existing object detection result and a correction result to calculate a final object detection result.

Abstract: The present disclosure describes an interferometer interfering a plurality of bosonic particles at one or more inputs so as to form one or more first outputs, one or more second outputs, and one or more third outputs. The one or more third outputs output one or more purified bosonic particles depending on the presence of absence of bosonic particles at the first outputs and second outputs.

Abstract: There is provided an analysis device for generating an excitation time map, which includes an interface device configured to receive time-series medical images of a subject and a computing device configured to generate an excitation time map by solving a diffusion reaction of electrical signals calculated from the time-series medical images using a solution of an ordinary differential equation. The excitation time map indicates excitation times at grid points of the time-series medical image.

Abstract: Cell-targeted serine protease constructs are provided. Such constructs can be used in methods for targeted cell killing such as for treatment cell of proliferative diseases (e.g., cancer). In some aspects, recombinant serine proteases, such as Granzyme B polypeptides, are provided that exhibit improved stability and cell toxicity. Methods and compositions for treating lapatinib or trastuzumab-resistant cancers are also provided.

Abstract: The present disclosure provides a caricature generation method capable of expressing detailed and realistic facial exaggerations and allowing a reduction of training labor and cost. A caricature generating method includes: providing a generation network comprising a plurality of layers connected in series including coarse layers of lowest resolutions and pre-trained to be suitable for synthesizing a shape of a caricature and fine layers of highest resolutions and pre-trained to be suitable for tuning a texture of the caricature; applying input feature maps representing an input facial photograph to the coarse layers to generate shape feature maps and deforming the shape feature maps by shape exaggeration blocks to generate deformed shape feature maps; applying the deformed shape feature maps to the fine layers to change a texture represented by the deformed shape feature maps and generate output feature maps; and generating a caricature image according to the output feature map.

Abstract: Provided is a hydrogen isotope adsorbent with differential binding properties and including mesoporous silica doped with fluorine.

Abstract: Disclosed is a method for activating a surface of metals, such as self-passivated metals, and of metal-oxide dissolution, effected using a fluoroanion-containing composition. Also disclosed is an electrochemical cell utilizing an aluminum-containing anode material and a fluoroanion-containing electrolyte, characterized by high efficiency, low corrosion, and optionally mechanical or electrochemical rechargeability. Also disclosed is a process for fusing (welding, soldering etc.) a self-passivated metal at relatively low temperature and ambient atmosphere, and a method for electrodepositing a metal on a self-passivated metal using metal-oxide source.

Abstract: A system and method for ensuring safe and tolerable insertion of a needle into a subject's body according to a preplanned or continuously monitored sequence of insertion steps. The system comprises a gripping device for gripping the needle in order to perform robotic insertion steps, yet for releasing the grip between such insertion steps, until the next insertion step is initiated. Thereby, the robot has full control of the needle during insertion steps, but does not constrain the needle between insertions, such that movement of the subject can cause neither damage nor discomfort. The gripping and insertion steps may be coordinated to keep in synchronization with the subject's breathing cycles, such that the insertion steps may be performed in the same segment of each cycle of motion of the subject's chest. The gripper can either fully disconnect from the needle, or can partially disconnect but constrain motion within limits.