Abstract: The current invention provides a synthetic prokaryotic genome comprising 5 or fewer occurrences of one or more sense codons; and/or a synthetic prokaryotic genome derived from a parent genome, wherein the synthetic prokaryotic genome comprises less than 10%, 5%, 2%, 1%, 0.5%, 0.1% of the occurrences of one or more sense codons, relative to the parent genome; and/or a synthetic prokaryotic genome comprising 100 or more, 200 or more, or 1000 or more genes with no occurrences of one or more sense codons.

Abstract: Storage processes are described. For instance, dumping of cache data in a memory table at a source directory table partition in a source container group is stopped in response to receiving a close signal. A notification for creating a target directory table partition is sent to a target container group, the notification including a checkpoint at the source directory table partition. The cache data in the memory table is sent to the target container group, and the source container group is closed in response to a determination that an ownership of the target directory table partition is updated to the target container group. A rescheduling and/or upgrading solution is thus proposed for a source container group, so that the source container group is still in a service state during the rescheduling and/or upgrading solution, which improves the performance of storage services and reduces the data unavailable time.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: An apparatus includes a substrate; circuit components disposed on the substrate; and a location identifier layer over the circuit, wherein the location identifier layer includes one or more section labels for representing physical locations of the circuit components within the apparatus.

Abstract: Data processing is disclosed in various aspects. For instance, an example method includes acquiring a plurality of objects with a sortable schema, the sortable schema specifying at least one field of the plurality of objects; determining metadata, sortable data, and non-sortable data of the plurality of objects on the basis of a value of the at least one field of the plurality of objects; and generating a serialized representation of the plurality of objects on the basis of the metadata, the sortable data, and the non-sortable data. By the method, one group of objects is converted into a serialized representation with sortable information, so that efficient object searching can be achieved without relying on an additional comparator.

Abstract: Data reads and related data reading processes are described. An example data read method includes: receiving a data read request, the data read request being aimed at target node data stored in a target node of a B+ tree; acquiring node location information, the node location information indicating a storage location of node data in a node data set of the B+ tree, and the node data set including the target node data; and determining a target storage location of the target node data. Beneficially, data stored in the B+ tree can be read and updated efficiently while reducing computing overhead.

Abstract: Methods, systems, and devices for plasma-doped trenches for memory are described. A method for forming a memory device with plasma-doped trenches may include forming a stack of materials having alternating layers of polysilicon and oxide materials. A trench may be etched in the stack and doped using a plasma doping process. In some examples, the trench may be doped by applying Boron fluoride, diborane, methane, or Boron and Carbon Hydride gases diluted with Hydrogen (H2) or Helium to the sidewalls and bottom surface of the trench, which may dope portions of the polysilicon material with Boron, Carbon, Fluorine, Helium, or Hydrogen.

Abstract: In some embodiments, a package for a computer peripheral device comprises an outer shell defining a first interior cavity and an open end. The package also comprises a peripheral tray comprising a rear side, a bottom side coupled to a bottom edge of the rear side, and a tongue. A first end of the tongue is coupled to the bottom side. The peripheral tray is positioned within the first interior cavity with a second end of the tongue coupled to the outer shell. An elongated portion of the tongue between the first end and the second end contacts the outer shell and is deflected toward the rear side. The peripheral tray is slidably translatable out of the first interior cavity through the open end so that a portion of the elongated portion moves away from the rear side and the bottom side rotates within the first interior cavity.

Abstract: A spinal implant for implantation within a spinal facet joint is provided. The spinal implant may include a main body including opposing top and bottom surfaces, opposing front or distal and rear or proximal surfaces, and opposing side surfaces. At least one retaining feature may be associated with at least one surface of the main body to frictionally engage the implant within the spinal facet joint. At least one securement feature may be associated with at least one surface of the main body to selectively secure the implant within the spinal facet joint.

Abstract: A spinal implant for implantation within a spinal facet joint is provided. The spinal implant may include a main body including opposing top and bottom surfaces, opposing front or distal and rear or proximal surfaces, and opposing side surfaces. At least one retaining feature may be associated with at least one surface of the main body to frictionally engage the implant within the spinal facet joint. At least one securement feature may be associated with at least one surface of the main body to selectively secure the implant within the spinal facet joint.