Abstract: A machine learning-based digital holography device and a method for operating same are disclosed. The digital holography method according to one embodiment comprises the steps of: obtaining an optical image including two-dimensional information about a sample; and on the basis of the optical image, generating a holographic image including three-dimensional information about the sample.

Abstract: In a driving video recording system and a manufacturing method of the same, the driving video recording system includes a camera module for monitoring the surroundings of a vehicle; then first memory for storing a video transmitted from the camera module; the second memory for storing a computer program for controlling the storage of the video; and a controller including a processor for executing the computer program, wherein the computer program includes a contamination classification deep training network model, and the processor is configured to determine whether video data obtained by the camera module through the deep-learning network model is contaminated through the execution of the computer program.

Abstract: One embodiment of the present disclosure provides an extracellular matrix-based hybrid ink for 3D printing, the hybrid ink including an extracellular matrix having an amine group and a modified hyaluronic acid introduced with an ethylenically unsaturated bond functional group, in which the extracellular matrix and the modified hyaluronic acid are in a crosslinked state by a chemical bond formed between at least some of amine groups present in the extracellular matrix and the ethylenically unsaturated bond functional group present in the modified hyaluronic acid. According to an embodiment of the present disclosure, the hybrid ink has mechanical properties suitable for 3D printing through chemical crosslinking between the extracellular matrix and modified hyaluronic acid as constituents, and can control the drug release rate by adjusting the chemical crosslinking density.

Abstract: Immunoreactive engineered polypeptides are provided. The engineered polypeptides can be used to diagnose or induce an immune response against E. chaffeensis or E. canis.

Abstract: A method, comprising: providing an electrical energy source having a specified amount of electrical energy; connecting an array comprising n magnetic tunnel junctions (MTJ) in parallel to said electrical energy source, wherein each of said MTJs is at a high resistance initial state; discharging said specified energy amount through said MTJs, thereby causing a random subset of said MTJs to switch to a lower resistance state; determining a post-discharging resistance state of each of the MTJs; and assigning a logical state to each of said MTJs corresponding to said resistance state of said MTJ.

Abstract: The present disclosure provides a heating, ventilation, and air conditioning (HVAC) system including interconnected artificial neural networks trained for respective subsystems that are required for building temperature control. The HVAC system includes: an air conditioning sensor units installed in or outside a building to detect environmental data; an HVAC device configured to supply thermal energy into an inner space of the building using input power; and a predictive controller configured to generate operational data based on the environmental data and control the HVAC device by adjusting the input power.

Abstract: Disclosed are a phase shift method and a device performing same, the method comprising the steps of: shifting a phase of an input signal by a phase shifter, and up-converting, by a frequency quadrupler, a frequency of the input signal of which the phase has been shifted, by a multiplication coefficient (N). According to the phase shift method and the device performing same, it is possible to overcome a phase resolution decrease that occurs when passing through a frequency quadrupler in super high-frequency LO beamforming technology synchronized with a conventional frequency quadrupler.

Abstract: A transparent ultrasound probe module, provided inside a housing of an optical apparatus may include a lens provided on one side of an inside of the housing, formed of a transparent material, a first matching layer provided on the other surface of the lens and formed of a transparent material, a piezoelectric element layer provided on the first matching layer and including transparent piezoelectric elements for interconverting an electrical signal and a mechanical signal, first and second electrode layers formed of a transparent material and provided on respective surfaces of the piezoelectric element layer, and configured to transmit an electrical signal, circuit boards connected to each of the first and second electrode layers, formed of a bendable material, and configured to transmit/receive the electrical signal to/from the piezoelectric element, and a block layer on the second electrode layer, formed of a transparent material, and configured to remove ultrasound noise.

Abstract: Mechanophoric compounds featuring one or more, or two or more, clickable group(s), which are capable of being coupled to naturally occurring, synthetic and/or metallic substrates via Click chemistry, method of preparing mechanophoric matrices using the mechanophoric compounds, and mechanophoric matrices obtainable thereby, and uses thereof for detecting force-induced damage in the matrices by a colorimetric change are provided.

Abstract: The present invention relates to a method for generating a single-stranded region for detecting genetic mutation and a method for detecting genetic mutation using same. A detection method according to the present invention can detect sequence-specific nucleic acids and detect mutations at the single nucleotide polymorphism (SNP) discrimination level, thereby allowing for the accurate and sensitive discrimination of mutations in a short time. Thus, the present invention provides an effective mutation detection method that can respond not only to current SARS-CoV-2 variants but also generally to specific diseases or related mutations in the future.

Abstract: A method comprising: generating a parametrized three-dimensional (3D) body surface model on a training set comprising a plurality of 3D scans of subjects, wherein at least some of said 3D scans are of subjects having a skeletal deformity; receiving one or more target 3D scans of a target subject; optimizing said body surface model with respect to said one or more target 3D scans to calculate a target body surface model of said target subject; training a skeletal estimation model on a training set comprising: (i) body surface models of a plurality of subjects, and (ii) skeletal landmarks sets of said plurality of subjects; and applying said trained skeletal estimation model to said calculated target body surface model of said target subject, to estimate a skeletal shape of said target subject.

Abstract: Provided is a qubit state reading apparatus including a probe signal provider configured to provide a probe signal to a qubit and a readout module configured to receive a qubit signal output from the qubit to which the probe signal is provided and read a state of the qubit, in which the readout module includes a local oscillation (LO) signal generator configured to generate an LO signal, a mixer configured to down-convert the qubit signal using the LO signal, an accumulator configured to accumulate output signals of the mixer, and a comparator configured to compare an output signal of the accumulator with a threshold and output a signal corresponding to the state of the qubit, and the readout module down-converts the qubit signal and the LO signal in a homodyne manner.

Abstract: A processor-implemented method includes determining a first width, the first width being a minimum width of a plurality of sectors into which an input range for a non-linear function is divided, and a plurality of second widths dividing the plurality of sectors each into one or more segments, determining a final width of a target sector, the target sector being one of the plurality of sectors, for approximating the non-linear function, based on one or more among the first width and the plurality of second widths, and dividing the non-linear function into one or more segments comprised in the target sector and approximating the divided non-linear function for each of the one or more segments to a linear function.

Abstract: The invention relates generally to the field of compositions including one or more conjugates of di-sugar and a nonsteroidal anti-inflammatory drug (NSAID), and use of same in methods for treating a disease or a disorder in a subject in need thereof.

Abstract: A system for noise-resistant quantum communication using hyperentanglement includes a quantum system that includes a plurality of qubits, a processor, and a memory. The memory includes instructions stored thereon, which, when executed by the processor, cause the quantum system to access a signal of a quantum system that includes a plurality of qubits and obtain hyperentanglement of the plurality of qubits via an entanglement source. The hyperentanglement of the plurality of qubits is in at least two dimensions, including a first dimension and a second dimension. The instructions, when executed, further cause the quantum system to transmit the hyperentangled plurality of qubits via a communication channel; perform a communication of the signal with the first dimension of the at least two dimensions; and filter results of the communicated signal based on the second dimension of the at least two dimensions.

Abstract: Exemplary embodiments of the present disclosure include apparatus and methods to classify the plaque tissue present in the coronary artery using intravascular optical coherence tomography (IVOCT) images.

Abstract: Protein based highly stretchable compositions with ionic conductivity are disclosed herein. Methods for preparing such compositions are also disclosed.

Abstract: An operation method of performing a neural network operation of fully homomorphic encrypted data is provided. The operation method includes: receiving data for performing the neural network operation and receiving a parameter for generating an approximation polynomial corresponding to the neural network operation; obtaining layer information corresponding to layers of a neural network model, the layer information based on the data; determining importances of the layers, respectively, wherein the determining of the importances is based on the parameter and the layer information; generating an approximation polynomial approximating the neural network operation for each of the layers, wherein the generating is based on the layer importance; and generating an operation result by performing the neural network operation based on the approximation polynomial, wherein the parameter includes a computation time condition that the neural network operation must satisfy.

Abstract: A processor-implemented method includes receiving data for performing a neural network operation of homomorphic encrypted data and a parameter for generating an approximate polynomial corresponding to the neural network operation, obtaining layer information corresponding to each of a plurality of layers configuring a neural network based on the data, determining layer importance corresponding to each of the plurality of layers, based on the parameter and the layer information, generating an approximate polynomial approximating the neural network operation for each of the plurality of layers, based on the layer importance, and generating an operation result by performing the neural network operation based on the approximate polynomial.

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.