Abstract: A structural polyurethane adhesive contains a polyisocyanate component and a polyol component. The polyisocyanate component contains a first isocyanate component containing a first isocyanate group-terminated urethane prepolymer that is a reaction product of a first material polyisocyanate consisting of an aromatic polyisocyanate and a first material polyol containing a macropolyol, a second isocyanate component containing a second isocyanate group-terminated urethane prepolymer that is a reaction product of a second material polyisocyanate consisting of an araliphatic polyisocyanate and/or an aliphatic polyisocyanate and a second material polyol containing a polyether polyol having a number average molecular weight of 160 or more and 4900 or less, and a third isocyanate component containing a carbodiimide-modified product of an aromatic polyisocyanate.

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: 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 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: Luminance data indicating luminance of the print product illuminated by the lighting is calculated and processing for causing a high luminance region to have gradation characteristics is performed.

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 print position adjustment mode is performed with high accuracy while consumption of print media is saved. An inkjet printing apparatus prints an adjustment pattern including multiple patches for adjusting print positions of dots by a print head on a print medium. Patches set next to each other in a scanning direction are printed above platen ribs at intervals based on rib pitches at which the platen ribs are arranged.

Abstract: In a structural polyurethane adhesive, a polyisocyanate component contains a first prepolymer component containing a first isocyanate group-terminated urethane prepolymer which is a reaction product of a first material polyisocyanate consisting of an aromatic polyisocyanate, and a first material polyol containing a macropolyol; and a second prepolymer component containing a second isocyanate group-terminated urethane prepolymer which is a reaction product of a second material polyisocyanate consisting of an araliphatic polyisocyanate and/or an aliphatic polyisocyanate, and a second material polyol containing a polyether polyol having a number average molecular weight of 160 or more and 4800 or less. A ratio of the second prepolymer component with respect to the total amount of the first prepolymer component and the second prepolymer component is 2% by mass or more and 35% by mass or less.

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 structural polyurethane adhesive includes a polyisocyanate component containing a urethane prepolymer having an isocyanate group at its terminal and a derivative of xylylene diisocyanate; and a polyol component containing a macropolyol having a number average molecular weight of 500 or more and 10000 or less, and an average number of hydroxyl groups of 1.9 or more and 4.0 or less.

Abstract: First quantization data for printing by the first nozzle group and second quantization data for printing by the second nozzle group are generated based on multi-valued data. By use of mask patterns, first print data and second print data are generated based on the first quantization data and the second quantization data. The first mask pattern for generating first print data and the second mask pattern for generating second print data are formed so as to include a pixel in which printing of a dot is allowed in both and a pixel in which printing of a dot is not allowed in both. The pixel value of each pixel indicated by the multi-valued data has a correlation with the sum of the number of dots indicated by the first print data and the number of dots indicated by the second print data in the area corresponding to each pixel.

Abstract: There is a case where a reading unit cannot read an entire area of a recording medium in a scanning direction of a carriage, or a case where reading accuracy is low in the entire area. In such a case, a result of reading a test pattern for adjusting an ejection timing at each position cannot be obtained with high accuracy in a single reading operation. In order to solve the issue, a recording apparatus performs a reading operation a plurality of times and generates, based on results from the respective operations, an adjustment value for adjusting the ejection timing at each position in the scanning direction.

Abstract: First quantization data for printing by the first nozzle group and second quantization data for printing by the second nozzle group are generated based on multi-valued data. By use of mask patterns, first print data and second print data are generated based on the first quantization data and the second quantization data. The first mask pattern for generating first print data and the second mask pattern for generating second print data are formed so as to include a pixel in which printing of a dot is allowed in both and a pixel in which printing of a dot is not allowed in both. The pixel value of each pixel indicated by the multi-valued data has a correlation with the sum of the number of dots indicated by the first print data and the number of dots indicated by the second print data in the area corresponding to each pixel.

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: A print position adjustment mode is performed with high accuracy while consumption of print media is saved. An inkjet printing apparatus prints an adjustment pattern including multiple patches for adjusting print positions of dots by a print head on a print medium. Patches set next to each other in a scanning direction are printed above platen ribs at intervals based on rib pitches at which the platen ribs are arranged.

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: There is a case where a reading unit cannot read an entire area of a recording medium in a scanning direction of a carriage, or a case where reading accuracy is low in the entire area. In such a case, a result of reading a test pattern for adjusting an ejection timing at each position cannot be obtained with high accuracy in a single reading operation. In order to solve the issue, a recording apparatus performs a reading operation a plurality of times and generates, based on results from the respective operations, an adjustment value for adjusting the ejection timing at each position in the scanning direction.

Abstract: An illumination condition, which is used to irradiate a print product with light having illuminance higher than normal illumination, is derived based on exposure condition information at the time of photographing.

Abstract: Luminance data indicating luminance of the print product illuminated by the lighting is calculated and processing for causing a high luminance region to have gradation characteristics is performed.