Abstract: The present invention relates to a method for preparing a granular plastic additive comprising the steps of a) providing at least one additive solution which comprises a plastic additive and a solvent, b) optionally mixing the additive solutions, c) thin film evaporation of the additive solution to produce a concentrated additive, d) agitation of the concentrated additive under vacuum to produce a hot melt, e) mixing a molten carrier polymer with the concentrated additive during the extrusion, and f) cooling and forming the hot melt comprising the plastic additive and the carrier polymer to produce the granular plastic additive. The invention also relates to the granular plastic additive obtainable by the method.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: The present invention relates to process for the preparation of a compound of formula (1), wherein R1 and R2 are independently from each other C1-C8alkyl, which comprises reacting a compound of formula (2), with a formaldehyde source in presence of a palladium or platinum catalyst at a hydrogen pressure of 5×108 mPa to 200×108 mPa.

Abstract: A method of satellite-based georeferencing for IR images of Earth surface captured by a satellite-mounted IR imaging device pointing towards Earth includes capturing an IR image of Earth surface using the IR imaging device; determining an estimated pointing direction of the IR imaging device at the time of capturing the IR image, based on an on-board attitude determination system of the satellite; determining an estimated area of Earth surface that is covered by the captured IR image, based on the estimated pointing direction; obtaining a set of image features in one or more pre-stored images of areas of Earth surface that at least partially overlap with the estimated area of Earth surface, wherein the pre-stored images are associated with known position coordinates; performing matching of the set of image features against the captured IR image to identify matching features; and determining an actual area of Earth surface that is covered by the captured IR image or an actual pointing direction of the IR imagi

Abstract: The present invention relates to a process for the production of 2,2,6,6-tetramethyl-4-piperidone particularly comprising (i) providing a reactor containing a catalyst comprising a zeolitic material having a framework structure of FAU, wherein the zeolitic material comprises YO2 and X2O3 in its framework structure, wherein Y is a tetravalent element and X is a trivalent element, wherein the zeolitic material has an YO2 to X2O3 molar ratio of 16 to 175; (ii) preparing a reaction mixture comprising acetone and ammonia; (iii) contacting the catalyst in the reactor with the reaction mixture prepared in (ii) at a temperature in the range of from 40 to 250° C. for obtaining a reaction product comprising 2,2,6,6-tetramethyl-4-piperidone; wherein the mixture prepared in (ii) and contacted with the catalyst in (iii) contains less than 10 weight-% of water based on 100 weight-% of the reaction mixture.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: This disclosure relates to methods of treating cancer using a combination of an anti-CD40 antibody such as SEA-CD40, and an anti-PD-1 antibody such as pembrolizumab. The treatment can further include a chemotherapy.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: The present invention relates to a process for preparing N,N?-bis(2,2,6,6-tetramethylpiperidin-4-yl)hexane-1,6-diamine. The present invention further relates to the use of N,N?-bis(2,2,6,6-tetramethylpiperidin-4-yl)hexane-1,6-diamine to prepare poly[[6-[(1,1,3,3-tetramethylbutyl)amino]-s-triazine-2,4-diyl]-[(2,2,6,6-tetramethyl-4-piperidyl)imino]-hexamethylene-[(2,2,6,6-tetramethyl-4-piperidyl)imino], reaction material of 1,6-hexanediamine, N,N?-bis (2,2,6,6-tetramethyl-4-piperidine-yl),2,4,6-trichloro-1, 3,5-triazine,N-butyl-1-butylamine, and N-butyl-2,2,6,6-tetramethyl-4-piperidineamine, N,N?-bis(2,2,6,6-tetramethyl-4-piperidyl)-N,N?-diformylhexamethylenediamine, and 1,6-Hexanediamine, N,N?-bis(2,2,6,6-tetramethyl-4-piperidinyl)-, polymer with 2,4-dichloro-6-(4-morpholinyl)-1,3,5-triazine.

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand.

Abstract: The invention relates to a method for testing quality of an object in a real environment using a camera, an optical display device, and a processing apparatus, the method including the following steps: defining a test geometry and a reference geometry in a computer-assisted data mode; defining a test pose, in which the camera should be placed by the user as target positioning for a quality test to be carried out of the object to be tested; and visualizing the test pose on the optical display device. In a second phase, at least one image of the real environment is captured by the camera, the pose of which camera is in a range that includes the test pose, and the test geometry and the reference geometry in the image are tracked. Furthermore, a pose of the tracked test geometry in relation to the reference geometry and at least one parameter are determined on the basis of how the pose of the tracked test geometry is in relation to a target pose of the test geometry defined within the data model.