Abstract: An orthotic ankle support system having a compression sleeve having an interior space to receive an ankle. Further included is a double strap having a midline; a first strap having alternated inelastic segments and elastic segments, a first inelastic segment extending from the midline towards a last inelastic segment at a free end; a second strap extending from the midline opposite the first strap, the second strap having alternated inelastic segments and elastic segments, a first inelastic segment extending from the midline towards a last inelastic segment at a free end. The midline is positioned on a posterior side of the compression sleeve having the first strap and the second strap wrapped in opposite directions around the compression sleeve and adjusted to vary tension to hold and grip the ankle.

Abstract: Data sets such as databases are often distributed over a number of servers, where each server stores a subset of records and an index that enables the server to locate the records in response to queries. However, tight coupling of indexing and storage may limit load-balancing, fault recovery, and distribution. Instead, the set of servers may be partitioned into a set of storage servers that store the records and a set of index servers of the index over the records. In a set that is decoupled in this manner, load-balancing may involve provisioning and locating index servers independently of the provisioning and locating of the storage servers in view of the particular sensitivities and tolerances of various applications. Additionally, the index servers may also utilize a data layout that is selected and adapted independent of the data layout of the storage servers and/or the schema of the data stored thereby.

Abstract: Databases are often provided according to various organizational models (e.g., document-oriented storage, key/value stores, and relational database), and are accessed through various access models (e.g., SQL, XPath, and schemaless queries). As data is shared across sources and applications, the dependency of a data service upon a particular organizational and/or access models may become confining. Instead, data services may store data in a base representation format, such as an atom-record-sequence model. New data received in a native item format may be converted into the base representation format for storage, and converted into a requested format to fulfill data requests. Queries may be translated from a native query format into a base query format that is applicable to the base representation format of the data set, e.g., via translation into an query intermediate language (such as JavaScript) and compilation into opcodes that are executed by a virtual machine within the database engine.

Abstract: Drug delivery articles, resident articles, and retrieval systems e.g., for gram-level dosing, are generally provided. In some embodiments, the articles are configured for transesophageal administration, transesophageal retrieval, and/or gastric retention to/in a subject. In certain embodiments, the article includes dimensions configured for transesophageal administration with a gastric resident system. In some cases, the article may be configured to control drug release e.g., with zero-order drug kinetics with no potential for burst release for weeks to months. In some embodiments, the articles described herein comprise biocompatible materials and/or are safe for gastric retention. In certain embodiments, the article includes dimensions configured for transesophageal retrieval. In some cases, the articles described herein may comprise relatively large doses of drug (e.g., greater than or equal to 1 gram).

Abstract: Databases are often provided according to various organizational models (e.g., document-oriented storage, key/value stores, and relational database), and are accessed through various access models (e.g., SQL, XPath, and schemaless queries). As data is shared across sources and applications, the dependency of a data service upon a particular organizational and/or access models may become confining. Instead, data services may store data in a base representation format, such as an atom-record-sequence model. New data received in a native item format may be converted into the base representation format for storage, and converted into a requested format to fulfill data requests. Queries may be translated from a native query format into a base query format that is applicable to the base representation format of the data set, e.g., via translation into an query intermediate language (such as JavaScript) and compilation into opcodes that are executed by a virtual machine within the database engine.

Abstract: Data sets such as databases are often distributed over a number of servers, where each server stores a subset of records and an index that enables the server to locate the records in response to queries. However, tight coupling of indexing and storage may limit load-balancing, fault recovery, and distribution. Instead, the set of servers may be partitioned into a set of storage servers that store the records and a set of index servers of the index over the records. In a set that is decoupled in this manner, load-balancing may involve provisioning and locating index servers independently of the provisioning and locating of the storage servers in view of the particular sensitivities and tolerances of various applications. Additionally, the index servers may also utilize a data layout that is selected and adapted independent of the data layout of the storage servers and/or the schema of the data stored thereby.