Abstract: The present disclosure relates to an organic compound having the following structure, and an organic light emitting diode (OLED) and an organic light emitting device including the organic compound. The organic compound is a bipolar compound having a p-type moiety and an n-type moiety and has high energy level and proper energy bandgap for an emissive layer of the OLED. As the organic compound is applied into the emissive layer, the OLED can maximize its luminous properties as holes and electrons are recombined uniformly over the whole area in an EML.

Abstract: A processor-implemented data processing method includes: generating compressed data of first matrix data based on information of a distance between valid elements included in the first matrix data; fetching second matrix data based on the compressed data; and generating output matrix data based on the compressed data and the second matrix data.

Abstract: The present invention relates to a dual-scale porous silica particle-based pharmaceutical composition for preventing or treating cancer, which includes porous silica nanoparticles and porous silica microparticles. The pharmaceutical composition of the present invention promotes the generation of a larger amount of antigen-specific, cytotoxic T cells against cancer than a mesoporous silica nanoparticle (MSN) vaccine, and exhibits increased anti-tumor efficacy compared with a mesoporous silica microrod (MSR) vaccine.

Abstract: The present invention provides a biomarker for predicting effectiveness for autoimmune disease treatment, a diagnostic kit, and a use for treatment. More particularly, the present invention provides a biomarker for predicting the effectiveness of mesenchymal stem cells (MSC) comprising the chemokine receptor CXCR3 for autoimmune disease treatment; a biomarker comprising the chemokine CXCL10 for predicting the prognosis of autoimmune disease treatment; a diagnostic kit comprising an agent capable of measuring the expression of the biomarker; and a pharmaceutical composition for prevention or treatment of an autoimmune disease, which comprises mesenchymal stem cells having an upregulated expression level of the chemokine receptor CXCR3.

Abstract: A method of creating a polymer surface with surface structures is disclosed. The method includes creating a mold, forming a metal sheet into the molds, creating a surface structure on a surface of the metal sheet by exposing the surface to laser pulses, and bringing a curable polymer to be in contact with the surface of the metal sheet containing the surface structure, curing the curable polymer, and separating the cured polymer from the metal sheet, resulting in a polymer surface containing the surface structure. The polymer surfaces with the surface structures can be hydrophobic or superhydrophobic depending on the micro and nano features contained by the surface structures.

Abstract: An AMD risk evaluation method is provided. The concentrations of a set of evaluation elements contained in a serum sample 2 taken from a subject are measured (step S1), the concentration data of the set of evaluation elements thus measured are applied to a predetermined discriminant function to perform an operation (step S2); and whether or not the subject suffers from AMD is discriminated based on the operation result obtained by applying the concentration data to the discriminant function (step S3). The discrimination is carried out in accordance with the concentration balance (pattern) of the set of evaluation elements. The set of evaluation elements is designated by choosing all or part of specific elements that have the concentration data for both of the case group and the control group based on the discriminant abilities in arbitrary combinations of the specific elements.

Abstract: A processor-implemented neural network method includes: generating a bit vector based on whether each of a plurality of input activations within a neural network is 0; merging the bit vector into the input activations such that bit values within the neural network included in the bit vector are most significant bits (MSBs) of multi bit expressions of the input activations; merging the bit vector into weights such that the bit values included in the bit vector are MSBs of multi bit expressions of the weights; sorting the input activations and the weights based on bits corresponding to the MSBs; and implementing the neural network, including performing operations between the sorted input activations and the sorted weights.

Abstract: An earthquake event classification method using an attention-based neural network includes: preprocessing input earthquake data by centering; extracting a feature map by nonlinearly converting the preprocessed earthquake data through a plurality of convolution layers having three or more layers; measuring importance of a learned feature of the nonlinear-converted earthquake data based on an attention technique in which interdependence of channels of the feature map is modeled; correcting a feature value of the measured importance value through element-wise multiply with the learned feature map; performing down-sampling through max-pooling based on the feature value; and classifying an earthquake event by regularizing the down-sampled feature value. Accordingly, main core features inherent in many/complex data are extracted through attention-based deep learning to overcome the limitations of the existing micro earthquake detection technology, thereby enabling earthquake detection even in low SNR environments.

Abstract: Compositions and methods are provided for detection, diagnosis and prognosis of Lyme disease (LD), including a method for confirming Borrelia spp. infection by contacting, in vitro, whole blood samples from subjects suspected of having LD with synthetic peptides comprising T-cell epitope-containing regions derived from Borrelia proteins that are expressed at different stages of Lyme disease, and indirectly detecting LD-specific activated T-cells by determining production of a T-cell immune response indicator (e.g., interferon-Y) in response to stimulation by the peptides.

Abstract: The present invention generally relates to 6-amino-2,4-dihydropyrano [2,3-c] pyrazoles as a ubiquitin specific protease 7(USP7) inhibitor useful for the treatment of diseases mediated by malfunction of USP7, such as inflammation, cancer, and immunological disorders. The invention described herein also pertains to pharmaceutical compositions and methods for treating diseases mediated by malfunction of USP7, in mammals using compounds disclosed herein.

Abstract: A method of forming polymer composites includes mixing a transition metal oxide precursor including at least one transition metal, a polymer as a binder, a solvent for the polymer, and water to form a first solution including polymer-transition metal complexes. The polymer-transition metal complexes are hydrolyzed to produce a plurality of transition metal oxide nanoparticles, wherein water is added in the mixing in a stoichiometric excess for the hydrolyzing. The solvent and residual of the water remaining after the hydrolyzing are removed. A polymer composite including the transition metal oxide nanoparticles dispersed in the polymer results after the removing, where some of the polymer is chemically conjugated to a surface of the transition metal oxide nanoparticles.

Abstract: Embodiments are directed to compounds of the formulae (I), (Ia), (Ib), (II), (IIa) (III), (IV), (V), and (VI); methods for treating cancer with one or more compounds of the formulae (I), (Ia), (Ib), (II), (IIa); (III), (IV), (V), and (VI); and methods for inhibiting a human topoisomerase with one or more compounds of the formulae (I), (Ia), (Ib), (II), (IIa); (III), (IV), (V), and (VI).

Abstract: Provided is an oxide semiconductor gas sensor with improved performance that senses selectively methylbenzene gases with high sensitivity. The gas sensor includes a gas sensing layer composed of palladium (Pd)-loaded cobalt oxide (Co3O4) nanostructures. The response of the gas sensor according to the present invention to xylene gas at a concentration as low as 5 ppm is at least 150 times higher than that to ethanol gas. The response of the gas sensor to toluene gas at a concentration as low as 5 ppm is at least 100 times higher than that to ethanol gas. In addition, the oxide semiconductor gas sensor has the ability to selectively detect methylbenzene gases, including xylene and toluene (with at least 30-fold higher response to xylene and at least 15 times higher response to toluene than that to ethanol gas).

Abstract: A test apparatus may include transceivers and a global de-skew circuit. In a training mode, the transceivers provide first timing information obtained by delaying a first data signal in the range of up to a preset unit interval based on a clock signal and receive second timing information corresponding to timing differences between a slowest transceiver and the remaining transceivers. In an operation mode, the transceivers provide compensation data to a plurality of DUTs (Devices Under Test) substantially simultaneously. The compensation data may be obtained by delaying a second data signal by multiples of the preset unit interval in response to the second timing information. In the training mode, the global de-skew circuit receives the first timing information, calculates, using the first timing information, the timing differences between the slowest transceiver and the remaining transceivers, and provides the second timing information corresponding to the timing differences to the transceivers.

Abstract: The present invention relates to a separator for a lithium secondary battery, a method for manufacturing the separator, and a lithium secondary battery including the separator. The separator includes a porous substrate and a heat resistance porous layer positioned on at least one surface of the porous substrate, wherein the heat resistance porous layer includes a sulfonic acid group-containing polysulfone.

Abstract: Disclosed is a sensor based on a graphene polypyrrole 3-dimensional (3D) porous structure, the sensor comprising: the graphene polypyrrole 3D porous structure, wherein the graphene polypyrrole 3D porous structure is prepared by growing graphene on a nickel 3D porous structure, growing polypyrrole on a graphene-grown nickel 3D porous structure, and then coating polydimethylsiloxane (PDMS) on a graphene polypyrrole grown structure; and electrodes respectively disposed on top and bottom faces of the graphene polypyrrole 3D porous structure.

Abstract: Dual sequential defibrillation (DSD) systems and methods include the use of a timing device. The timing device can assist a user with DSD administration by providing notifications spaced apart by the inter-shock timing. The user can use these notifications to trigger the administration of defibrillation in a sequential manner. The timing device can also be coupled to two defibrillation devices and can output a signal to each of the defibrillation devices to cause the defibrillation device to administer a defibrillation. The output of the signals by the timing device can be spaced apart by the inter-shock timing. Additionally, the signals can be QRS-like in nature to cause the defibrillation devices to administer a defibrillation when in a sync mode.

Abstract: The present invention provides methods and compositions for treating and/or preventing age related macular degeneration and other conditions involving macular degeneration, ocular neovascularization, or ocular inflammation. In an exemplary embodiment, a method is disclosed that involves administering an expression vector that delivers a secretable and cell penetrating CARD to a subject in need of treatment or prevention of age-related macular degeneration or another condition involving macular degeneration or ocular neovascularization.

Abstract: Disclosed are compositions comprising polymeric nanoparticles and methods of using the same. The polymeric nanoparticles can be conjugated with a targeting ligand that is a substrate for a solid tumor-specific cell protein. The polymeric nanoparticles can also comprises an imaging compound and/or a therapeutic agent encapsulated in the hydrophobic interior of the nanoparticle. A cancer therapeutic composition comprising the nanoparticle is also disclosed. The disclosed nanoparticles can be used to target and deliver imaging and/or therapeutic compounds to cancer cells, thereby identifying and/or treating a solid tumor cell target. Methods for treating cancer, such as lung cancer, using the polymeric nanoparticles are also disclosed.

Abstract: Methods for detecting or ruling out a meningioma in a patient using a phenylbenzothiazole derivative or a stilbene derivative or a biphenylalkyne derivative, and a medical imaging technique such as positron emission tomography/computed tomography are disclosed.