Abstract: A phototherapy device includes a base, at least one light conversion device and a light source module. The base has an installation slot. The light conversion device is detachably arranged in the installation slot. Each light conversion device includes a plurality of light conversion patterns. The light source module is arranged on a side of the base and configured to provide an excitation beam to the light conversion patterns, so that each of the light conversion patterns emits a converted beam. In this way, the light conversion device of the phototherapy device can be replaced according to the user's needs.

Abstract: The present invention relates to a composition comprising an amino acid-modified polymer, a carboxypolysaccharide, and may further include a metal ion for anti-adhesion and vector application. More specifically, the invention relates to a thermosensitive composition having enhanced mechanical and improved water-erosion resistant properties for efficiently preventing tissue adhesions and can serve as a vector with bio-compatible, bio-degradable/absorbable, and in-vivo sustainable properties.

Abstract: Synthetic amino acid-modified polymers and methods of making the same and using the same are disclosed. The synthetic amino acid-modified polymers possess distinct thermosensitive, improved water-erosion resistant, and enhanced mechanical properties, and are suitable of reducing or preventing formation of postoperative tissue adhesions. Additionally, the amino acid-modified polymers can also be used as a vector to deliver pharmaceutically active agents.

Abstract: A composite material including a nanocellulose core and a metal shell is provided. The metal shell covers a surface of the nanocellulose core. The composite material is nanosized and has high mechanical strength. Additionally, a method of manufacturing the composite material is also provided.

Abstract: A neural network is provided to include a layer that has a weight set. The neural network is trained based on a first compression quality level, where the weight set and a first set of batch normalization coefficients are used in said layer, so the weight set and the first set of batch normalization coefficients are trained with respect to the first compression quality level. Then, the neural network is trained based on a second compression quality level, where the weight set that has been trained with respect to the first compression quality level and a second set of batch normalization coefficients are used in said layer, so the weight set is trained with respect to both of the first and second compression quality levels, and the second set of batch normalization coefficients is trained with respect to the second compression quality level.

Abstract: A bit-serial computing device includes a computing circuit and a scaler. The computing circuit includes multiple MAC slices, and receives a multiplier vector and a multiplicand vector that contains multiple multiplicand inputs. Each multiplicand input contains multiple multiplicand segments that have different significances. The significances respectively correspond to the MAC slices. Correspondence between the significances and the MAC slices is variable. Each MAC slice calculates an inner product of the multiplier vector and a vector that is constituted by the multiplicand segments of the multiplicand inputs having the significance corresponding to the MAC slice. With respect to each MAC slice, the scaler multiplies the inner product that is calculated by the MAC slice by a weighting ratio that represents the significance corresponding to the MAC slice, so as to obtain a scaled inner product that corresponds to the MAC slice.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Disclosed are compositions, devices, and methods for loading molecules of interest onto a substrate by contacting beads having molecules of interest attached to them with the substrate, for example by providing a field that brings the beads into proximity or contact with the substrate and moves the beads with respect to the substrate. Such molecules of interest can be deposited onto substrates for single-molecule analysis.

Abstract: Disclosed are compositions, devices, and methods for loading molecules of interest onto a substrate by contacting beads having molecules of interest attached to them with the substrate, for example by providing a field that brings the beads into proximity or contact with the substrate and moves the beads with respect to the substrate. Such molecules of interest can be deposited onto substrates for single-molecule analysis.

Abstract: Methods are provided for reducing the complexity of a population of nucleic acids prior to performing an analysis of the nucleic acids, e.g., sequence analysis. The methods result in a subset of the initial population enriched for a target region, which is typically located within one or more target fragments. The methods are particularly useful for analyzing populations having a high degree of complexity, e.g., chromosomal-derived DNA, whole genomic DNA, or mRNA populations.

Abstract: Disclosed are compositions, devices, and methods for loading molecules of interest onto a substrate by contacting beads having molecules of interest attached to them with the substrate, for example by providing a field that brings the beads into proximity or contact with the substrate and moves the beads with respect to the substrate. Such molecules of interest can be deposited onto substrates for single-molecule analysis.

Abstract: Disclosed are compositions, devices, and methods for loading molecules of interest onto a substrate by contacting beads having molecules of interest attached to them with the substrate, for example by providing a field that brings the beads into proximity or contact with the substrate and moves the beads with respect to the substrate. Such molecules of interest can be deposited onto substrates for single-molecule analysis.