Abstract: Disclosed are Respiratory Syncytial Virus (RSV) antigens including a recombinant RSV F protein stabilized in a prefusion conformation. Also disclosed are nucleic acids encoding the antigens and methods of producing the antigens. Methods for generating an immune response in a subject are also disclosed. In some embodiments, the method is a method for treating or preventing a RSV infection in a subject by administering a therapeutically effective amount of the antigen to the subject.

Abstract: A composition for electroless plating comprises: from 9 to 29 weight percent, 9.7 to 29 weight percent, or 10 to 29 weight percent, of a first graft rubber copolymer which comprises the polymerized form of at least one conjugated diene monomer and at least one monovinyl aromatic monomer, from 70 to 90 weight percent, preferably 70-89.7 weight percent, more preferably 70 to 85 weight percent, of ungrafted styrenic polymer, from 0.1 to 10 weight percent of a core/shell diene-based rubber having particle size of 100 to 500 nanometers (nm), one or more of a stabilizer and/or antioxidant in total amount of from 0.1 to 5 weight percent, a fatty acid or a salt of fatty acid in an amount of from 0.1 to 2 weight percent, 0 to 5 weight percent of a mold release agent, 0 to 1 weight percent of a metal oxide, 0 to 3 weight percent of a lubricant, and 0 to 20 weight percent of polycarbonate wherein weight percent and ppm are based on total weight of the composition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing neural architecture search for machine learning models. In one aspect, a method comprises receiving training data for a machine learning, generating a plurality of candidate neural networks for performing the machine learning task, wherein each candidate neural network comprises a plurality of instances of a layer block composed of a plurality of layers, for each candidate neural network, selecting a respective type for each of the plurality of layers from a set of layer types that comprises, training the candidate neural network and evaluating performance scores for the trained candidate neural networks as applied to the machine learning task, and determining a final neural network for performing the machine learning task based at least on the performance scores for the candidate neural networks.

Abstract: A virtual machine may allow execution of applications decoupled from physical hardware. The virtual machine may be executed by the physical hardware in a data center. A system can monitor and assess performance and reliability of the virtual machine based on device records of network components of the data center that are supporting operation of the virtual machine.

Abstract: A virtual machine may allow execution of applications decoupled from physical hardware. The virtual machine may be executed by the physical hardware in a data center. A system can monitor and assess performance and reliability of the virtual machine based on device records of network components of the data center that are supporting operation of the virtual machine.

Abstract: A virtual machine may allow execution of applications decoupled from physical hardware. The virtual machine may be executed by the physical hardware in a data center. A system can monitor and assess performance and reliability of the virtual machine based on device records of network components of the data center that are supporting operation of the virtual machine.

Abstract: A process for producing a water-absorbent high-porosity fibrous matrix from lignocellulosic raw materials, comprising wet mechanical processing of the raw material, drying, and then dry mechanical processing the fibers to provide a fibrous matrix is provided. The high-porosity fibrous matrix and absorbent articles prepared therefrom are also provided.

Abstract: A process for producing a water-absorbent high-porosity fibrous matrix from lignocellulosic raw materials, comprising wet mechanical processing of the raw material, drying, and then dry mechanical processing the fibers to provide a fibrous matrix is provided. The high-porosity fibrous matrix and absorbent articles prepared therefrom are also provided.

Abstract: A virtual machine may allow execution of applications decoupled from physical hardware. The virtual machine may be executed by the physical hardware in a data center. A system can monitor and assess performance and reliability of the virtual machine based on device records of network components of the data center that are supporting operation of the virtual machine.

Abstract: A process for producing a water-absorbent high-porosity fibrous matrix from lignocellulosic raw materials, comprising wet mechanical processing of the raw material, drying, and then dry mechanical processing the fibers to provide a fibrous matrix is provided. The high-porosity fibrous matrix and absorbent articles prepared therefrom are also provided.