Abstract: Gas distribution assemblies for semiconductor devices are described. The gas distribution assemblies include a backplate, a faceplate, a counterbored hole, and at least one orifice. The at least one orifice includes, for example, at least one straight orifice, or at least two angled orifices. Some embodiments of the gas distribution assemblies provide for reduced plasma damage in a processing chamber. Some embodiments of the gas distribution assemblies provide for reduced jetting on a substrate in a processing chamber. Methods of reducing plasma damage in gas distribution assemblies are also described.

Abstract: Contiguity information is important to achieving high-quality de novo assembly of mammalian genomes and the haplotype-resolved resequencing of human genomes. The methods described herein pursue cost-effective, massively parallel capture of contiguity information at different scales.

Abstract: A robotic paint repair system is disclosed. The system optionally including a robotic arm, a first tool system and a fluid removal tool. The first tool system can comprise a first end effector coupled to a first tool configured to contact a workpiece to perform surface modification of the workpiece. The first end effector can be configured to actuate the first tool about a first axis to perform the surface modification of the workpiece. The fluid removal tool can comprise a wiping medium. The fluid removal tool can be coupled to the robot arm. The fluid removal tool can be configured to actuate the wiping medium about or along a second axis to remove fluid from the workpiece. The first axis can be offset from the second axis and the first axis can be within 45 degrees of parallel with the second axis.

Abstract: Contiguity information is important to achieving high-quality de novo assembly of mammalian genomes and the haplotype-resolved resequencing of human genomes. The methods described herein pursue cost-effective, massively parallel capture of contiguity information at different scales.

Abstract: Polymer composite materials are disclosed containing one or more chemical scavengers. The polymer composites are porous and are configured to be contacted with a liquid for removing trace amounts of metals, proteins, polypeptides, polyphenols, other organic compounds, and the like. In order to produce the porous composite polymer product, one or more chemical scavengers are combined with high density polyethylene particles and sintered into a shape. The polyethylene resin acts as a binder trapping or encasing the one or more chemical scavengers in the porous structure.

Abstract: Polymer composite materials are disclosed containing one or more chemical scavengers. The polymer composites are porous and are configured to be contacted with a liquid for removing trace amounts of metals, proteins, polypeptides, polyphenols, other organic compounds, and the like. In order to produce the porous composite polymer product, one or more chemical scavengers are combined with high density polyethylene particles and sintered into a shape. The polyethylene resin acts as a binder trapping or encasing the one or more chemical scavengers in the porous structure.

Abstract: Polymer composite materials are disclosed containing one or more chemical scavengers. The polymer composites are porous and are configured to be contacted with a liquid for removing trace amounts of metals, proteins, polypeptides, polyphenols, other organic compounds, and the like. In order to produce the porous composite polymer product, one or more chemical scavengers are combined with high density polyethylene particles and sintered into a shape. The polyethylene resin acts as a binder trapping or encasing the one or more chemical scavengers in the porous structure.

Abstract: The invention provides compositions and methods comprising biomarker genes for identifying subjects that will respond to human MAP kinase kinase (MEK) inhibitor therapies, compositions and methods comprising biomarker genes for identifying subjects that will respond to MEK inhibitor/target of rapamycin complex (TORC) inhibitor combination therapies, and compositions and methods comprising biomarker genes for identifying subjects that will respond to MEK inhibitor/chemotherapy combination therapies.

Abstract: Certain aspects of the present disclosure provide techniques for operation of a feature management platform. A feature management platform is an end-to-end platform developed to manage the full lifecycle of data features. For example, to create a feature the feature management platform can receive a processing artifact (e.g., a configuration file and code fragment) from a computing device. The processing artifact defines the feature, including the data source to retrieve event data from, when to retrieve the event data, the type of transform to apply, etc. Based on the processing artifact, the feature management system generates a processing job, which when initiated generates a vector that encapsulates the feature data. The vector is transmitted to the computing device that locally hosts a model, which generates a prediction. The prediction is transmitted to the feature management platform and can be transmitted to other computing devices, upon request.

Abstract: The present disclosure provides a method for determining a genotype of one or more biomarker genes in a tumor sample of a subject afflicted with cancer, the method comprising determining a genotype of one or more biomarker genes in the tumor sample and classifying a subject as sensitive or resistant to a therapy comprising a SHP2 inhibitor based on the genotype the one or more biomarker genes in the tumor sample.

Abstract: Systems and methods are provided that, in some embodiments that extract user data from at least one data warehouse. The user data is sorted within each dimension, and partitions each dimension into bins. Clusters are defined as each bin that includes user data for a number of users that exceeds a threshold. Clusters are determined for every combination of dimensions. Each combination of clusters that exceed the threshold is defined as clusters that are formed from multiple dimensions. All clusters and other clusters are stored into a cluster definition table. The clusters are used to analyze the profile of specific users.

Abstract: Contiguity information is important to achieving high-quality de novo assembly of mammalian genomes and the haplotype-resolved resequencing of human genomes.

Abstract: Systems and methods for call handling optimization of a call center are disclosed. A system is configured to: obtain a plurality of agent demand variables; obtain an indication of available agents that are associated with a plurality of skills; generate a multi-skill routing matrix depicting a routing problem from the agent demand variables and the available agents; deconstruct the multi-skill matrix into one or more band routing matrices; and identify, for each band routing matrix, a number of agents from the available agents to be used in solving the band routing matrix. Identifying the number of agents includes recursively simulating a plurality of possible routing solutions, measuring a quality metric for each simulation, and reducing the range of available agents based on the quality metric. The system may indicate the number of agents to be used for each routing sub-problem (which may be at the staff group level).