Abstract: A laminate includes an amorphous glass substrate, and an AlN layer formed on the amorphous glass substrate. The AlN layer is c-axis oriented on the amorphous glass substrate, a glass transition temperature (Tg) of the amorphous glass substrate is 720° C. to 810° C., a coefficient of thermal expansion (CTE) of the amorphous glass substrate is 3.5×10?6 [1/K] to 4.0×10?6 [1/K], and a softening point of the amorphous glass substrate is 950° C. to 1050° C.

Abstract: Provided is a non-transitory computer-readable medium storing a program for causing a computer to execute the steps including a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying which bacteria of serovar of Salmonella genus bacteria the microorganisms contained in the sample contain, based on the mass-to-charge ratio m/z, wherein at least one of two types of ribosomal proteins S8 and Peptidylpropyl isomerase is used as the marker protein.

Abstract: An LED array includes: a substrate having a depressing-projecting structure formed on a surface of the substrate; a planarization layer formed on the depressing-projecting structure; a plurality of micro LED elements each of which is formed on the planarization layer; and a stray light attenuating groove formed between a pair of adjacent micro LED elements among the plurality of micro LED elements, and extending from toward the pair of micro LED elements to toward the depressing-projecting structure at least part way of the planarization layer.

Abstract: A method for manufacturing a light-emitting element includes providing the light-emitting element that includes a light-emitting layer with an emission wavelength of not more than 306 nm and a p-type layer including AlGaInN including Mg as an acceptor, and removing hydrogen in the p-type layer from the light-emitting element by irradiating the light-emitting element with ultraviolet light at a wavelength of not more than 306 nm from outside and treating the light-emitting element with heat in a state in which a reverse voltage, or a forward voltage lower than a threshold voltage of the light-emitting element, or no voltage is applied to the light-emitting element. The removing of hydrogen in the p-type layer from the light-emitting element is performed in a N2 atmosphere at not less than 650° C. or in a N2+O2 atmosphere at not less than 500° C.

Abstract: Provided is a method of identifying a serovar of Salmonella bacteria including a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying a serovar of Salmonella bacteria in the sample, based on the mass-to-charge ratio m/z, wherein the serovars of Salmonella bacteria are classified using cluster analysis using as an index the mass-to-charge ratio m/z derived from at least 12 types of ribosomal proteins S8, L15, L17, L21, L25, S7, SODa, peptidylprolyl isomerase, gns, YibT, YaiA and YciF as the marker proteins.

Abstract: A semiconductor light emitting element includes: a growth substrate; a mask formed on the growth substrate; and a columnar semiconductor layer grown from at least one opening that is provided in the mask. The columnar semiconductor layer includes an n-type nanowire layer formed at a center thereof, an active layer formed on an outer periphery of the n-type nanowire layer, and a p-type semiconductor layer formed on an outer periphery of the active layer. An opening ratio of the opening is 0.1% or more and 5.0% or less, and a light emission wavelength is 480 nm or more.

Abstract: A microorganism identification method according to the present invention includes a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying which bacteria of serovar of Salmonella genus bacteria the microorganisms contained in the sample contain, based on the mass-to-charge ratio m/z, in which at least one of two types of ribosomal proteins S8 and Peptidylpropyl isomerase is used as the marker protein.

Abstract: To provide a method for discriminating a microorganism by selecting and using a marker protein capable of reproducibly and quickly discriminating a bacterial species of the genus Listeria. The method for discriminating a microorganism according to the present invention includes: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Listeria bacteria the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 17 ribosomal proteins L3, L4, L23, L2, L24, L6, L18, S5, L15, S13, S11, L10, L21, L13, S9, L31, S16 is used as the marker protein and particularly at least one of 8 ribosomal proteins L24, L6, L18, L15, S9, L31, S16 among the 17 ribosomal proteins is used.

Abstract: A device of an embodiment includes: an optical mechanism; a control computation unit that controls driving of the optical mechanism, acquires a tomographic image of skin by processing an optical interference signal from an optical system, and calculates a network of blood vessels on the basis of the tomographic image; and a display device that displays an image of the network of blood vessels. The control computation unit sets a reference profile obtained by function approximation of an intensity profile in a depth direction of the acquired tomographic image, calculates a difference between an intensity value on the reference profile and an actual intensity value as an outlier V, the intensity values being those in the depth direction in the tomographic image, determines, as blood vessels or blood vessel candidates, coordinates with the outliers V within a predetermined blood vessel determination range, and calculates the network of blood vessels.

Abstract: One aspect of the present disclosure is a medical treatment tool including a first arm having a first end and a second end and a second arm having a first end and a second end, wherein the first end of the first arm and the first end of the second arm are coupled such that a distance between the second end of the first arm and the second end of the second arm is adjustable. Each of the first arm and the second arm comprises: a conductor extending from the first end to the second end and exposed at the second end; a support containing a composite material made of a resin and a reinforcing material as a main component and extending along the conductor; and a cover covering the conductor and the support.

Abstract: To provide a method for discriminating a microorganism by selecting and using a marker protein capable of reproducibly and quickly discriminating a bacterial species of the genus Listeria. The method for discriminating a microorganism according to the present invention includes: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Listeria bacteria the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 17 ribosomal proteins L3, L4, L23, L2, L24, L6, L18, S5, L15, S13, S11, L10, L21, L13, S9, L31, S16 is used as the marker protein and particularly at least one of 8 ribosomal proteins L24, L6, L18, L15, S9, L31, S16 among the 17 ribosomal proteins is used.

Abstract: Provided is a semiconductor light emitting device including a growth substrate; a pillar-shaped semiconductor layer formed on the growth substrate; and a buried semiconductor layer formed to cover the pillar-shaped semiconductor layer, wherein the pillar-shaped semiconductor layer has an n-type nanowire layer formed at a center, an active layer formed on an outermore side than the n-type nanowire layer, a p-type semiconductor layer formed on an outermore side than the active layer and a tunnel junction layer formed on an outermore side than the p-type semiconductor layer, and wherein at least a part of the pillar-shaped semiconductor layer is provided with a removed region formed by removing from the buried semiconductor layer to a part of the tunnel junction layer.

Abstract: The object of the present invention is to provide a separation method and a separation apparatus for carbon nanotubes capable of separating a mixture of carbon nanotubes in a highly efficient, inexpensive and simple manner.

Abstract: A semiconductor light-emitting element having an emission peak wavelength of 395 nm or more and 425 nm or less, comprises: a substrate including a first surface and a second surface, at least one surface selected from the group consisting of the first and second surfaces having an uneven region; a semiconductor layer on the first surface; and a multilayer reflective film on the second surface or the semiconductor layer, wherein the multilayer reflective film includes a structure having a plurality of first dielectric films and a plurality of second dielectric films, the first dielectric films and the second dielectric films being alternately stacked.

Abstract: A semiconductor light-emitting element according to an embodiment has a light emission peak wavelength not less than 380 nm and not more than 425 nm. The semiconductor light-emitting element includes a stacked structure including a reflective layer, a substrate provided on the reflective layer, and a semiconductor layer provided on the substrate. An uneven structure is provided in a surface of the substrate on the semiconductor layer side. The semiconductor layer includes a buffer layer made of aluminum nitride and having a thickness not less than 10 nm and not more than 100 nm. The buffer layer includes oxygen; and 0.01?O8nm/O3nm?0.5 is satisfied, where O3nm (at %) is the oxygen concentration at a depth of 3 nm of the buffer layer, and O8nm (at %) is the oxygen concentration at a depth of 8 nm of the buffer layer.

Abstract: Included is a semiconductor multilayer film in which a non-doped InAlN layer and a GaN layer formed on said InAlN layer and containing a dopant are stacked a plurality of times.

Abstract: To provide a method for discriminating a microorganism including: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Escherichia coli, Shigella bacteria, and Escherichia albertii the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 13 ribosomal proteins S5, L15, S13, L31, L22, L19, L20, L13, S15, L25, HNS, HdeB, and L29 is used as the marker protein.

Abstract: A microorganism identification method includes steps of: obtaining a mass spectrum through mass spectrometry of a sample including microorganisms; reading, from the mass spectrum, a mass-to-charge ratio m/z of a peak associated with a marker protein; and identifying which bacterial species of the genus Campylobacter are included in the microorganisms in the sample based on the mass-to-charge ratio m/z. The microorganism identification method is further characterized in that at least one of the following 18 marker proteins is used as the marker protein, S10, L23, S19, L22, L16, L29, S17, L14, L24, S14, L18, L15, L36, S13, S11 (Me), L32, and L7/L12.

Abstract: An extraction section extracts, from each of a plurality of non-defective product images which show the appearance of the inspection target determined to be a non-defective product, the non-defective vector representing a feature of each non-defective product image. A generation section generates a transformation matrix by using a plurality of non-defective product vectors extracted by the extraction section. The transformation matrix is a matrix representing sequentially performing first mapping for mapping the feature vector to a feature space and second mapping for mapping a result of the first mapping to the whole space to which the feature vector belongs. An adjusting section adjusts each element of the transformation matrix generated by the generation section by using, as learning data, the feature vector extracted from a pseudo defect image.

Abstract: A microorganism identification method includes steps of: obtaining a mass spectrum through mass spectrometry of a sample including microorganisms; reading, from the mass spectrum, a mass-to-charge ratio m/z of a peak associated with a marker protein; and identifying which bacterial species of the genus Campylobacter are included in the microorganisms in the sample based on the mass-to-charge ratio m/z. The microorganism identification method is further characterized in that at least one of the following 18 marker proteins is used as the marker protein, S10, L23, S19, L22, L16, L29, S17, L14, L24, S14, L18, L15, L36, S13, S11 (Me), L32, and L7/L12.