Abstract: An apparatus, method and computer-readable medium are provided for sending content from a source to a user device. The content is obtained from the source by an intermediate device as a plurality of fragments and a manifest, converted into larger chunks of data, encapsulated into a single file, and then sent over a network connection to the user device.

Abstract: An apparatus, method and computer-readable medium are provided for sending content from a source to a user device. The content is obtained from the source by an intermediate device as a plurality of fragments and a manifest, converted into larger chunks of data, encapsulated into a single file, and then sent over a network connection to the user device.

Abstract: An apparatus, method and computer-readable medium are provided for sending content from a source to a user device. The content is obtained from the source by an intermediate device as a plurality of fragments and a manifest, converted into larger chunks of data, encapsulated into a single file, and then sent over a network connection to the user device.

Abstract: An apparatus, method and computer-readable medium are provided for sending content from a source to a user device. The content is obtained from the source by an intermediate device as a plurality of fragments and a manifest, converted into larger chunks of data, encapsulated into a single file, and then sent over a network connection to the user device.

Abstract: A method is provided in various embodiments for determining a profile data set for a subject with infectious disease or inflammatory conditions related to infectious disease based on a sample from the subject, wherein the sample provides a source of RNAs. The method includes using amplification for measuring the amount of RNA corresponding to at least 2 constituents from Table 1. The profile data set comprises the measure of each constituent, and amplification is performed under measurement conditions that are substantially repeatable.

Abstract: An apparatus, method and computer-readable medium are provided for sending content from a source to a user device. The content is obtained from the source by an intermediate device as a plurality of fragments and a manifest, converted into larger chunks of data, encapsulated into a single file, and then sent over a network connection to the user device.

Abstract: Methods, systems, computer-readable media, and apparatuses for providing responsive advertisements are described herein. In some embodiments, a computing device may send a presentation including multiple advertisements to a user device. The computing device may receive an indication that an advertisement has been overlaid by a window and may, in response, determine to resize or relocation the advertisement. The computing device may determine impression credit for the advertisement based on a display duration for the advertisement prior to being overlaid by the window and a display duration for the resized or relocated advertisement while not being overlaid by any window.

Abstract: A distributed computing system may allow multiple devices to distribute master node responsibilities. The various nodes in the system may be given unique, sequenced, node identifiers, and may periodically report their status to a central monitor or current master node. A comparison of the report time stamps and node identifiers, made against the node identifier of the current master node, may yield a determination as to whether the current master node should be replaced.

Abstract: A method is provided in various embodiments for determining a profile data set for a subject with infectious disease or inflammatory conditions related to infectious disease based on a sample from the subject, wherein the sample provides a source of RNAs. The method includes using amplification for measuring the amount of RNA corresponding to at least 2 constituents from Table 1. The profile data set comprises the measure of each constituent, and amplification is performed under measurement conditions that are substantially repeatable.

Abstract: A method and system may allow for converting an object model. For example, a computing device may receive an object model to be converted to a document that represents the object model. The computing device may be configured to traverse the object model and build a document (e.g., an XHTML document, XML document, etc.) that represents the object model. The document may comprise a series of tags that represent objects in the object model. The computing device may then provide the document as a part of a hypermedia API.

Abstract: A distributed computing system may allow multiple devices to distribute master node responsibilities. The various nodes in the system may be given unique, sequenced, node identifiers, and may periodically report their status to a central monitor or current master node. A comparison of the report time stamps and node identifiers, made against the node identifier of the current master node, may yield a determination as to whether the current master node should be replaced.

Abstract: A method provides an index that is indicative of the state of a subject, as to a biological condition, based on a sample from the subject. An embodiment of this method includes: deriving from the sample a profile data set, the profile data set including a plurality of members, each member being a quantitative measure of the amount of a distinct RNA or protein constituent in a panel of constituents selected so that measurement of the constituents enables evaluation of the biological condition; and in deriving the profile data set, achieving such measure for each constituent under measurement conditions that are substantially repeatable; and applying values from the profile data set to an index function that provides a mapping from an instance of a profile data set into a single-valued measure of biological condition, so as to produce an index pertinent to the biological condition of the subject.

Abstract: The present invention provides methods of characterizing multiple sclerosis pr inflammatory conditions associated with multiple sclerosis using gene expression profiling.

Abstract: Gene expression data, in particular gene expression profiles, are created and used in the identification, monitoring and treatment of disease and characterization of biological conditions. Profile data sets are derived from subject samples and include quantitative substantially repeatable measures of a distinct amount of RNA or protein constituent in a panel selected to enable evaluation of a biological condition. Such profile data sets may be used to provide an index indicative of the biological state of a subject, which may be compared to a normative value of the index determined with respect to a relevant population of subjects.

Abstract: Rodent gene expression data, in particular, gene expression profiles, are created and used to predict the efficacy of therapeutic agents on human biological conditions. Gene Profile data sets are derived from rodent subject samples and include quantitative, substantially repeatable measures of a distinct amount of RNA or protein constituent(s) in a signature panel selected such that measurement of the constituent(s) enables measurement of a biological condition of interest in both human and rodent subjects. Such profile data sets may be used to predict the therapeutic efficacy of a therapeutic agent in humans.

Abstract: Rodent gene expression data, in particular, gene expression profiles, are created and used to predict the efficacy of therapeutic agents on human biological conditions. Gene Profile data sets are derived from rodent subject samples and include quantitative, substantially repeatable measures of a distinct amount of RNA or protein constituent(s) in a signature panel selected such that measurement of the constituent(s) enables measurement of a biological condition of interest in both human and rodent subjects. Such profile data sets may be used to predict the therapeutic efficacy of a therapeutic agent in humans.

Abstract: The present invention provides methods of characterizing multiple sclerosis or inflammatory conditions associated with multiple sclerosis using gene expression profiling.

Abstract: The present invention provides methods of characterizing multiple sclerosis pr inflammatory conditions associated with multiple sclerosis using gene expression profiling.

Abstract: A method is provided in various embodiments for determining a profile data set for a subject with multiple sclerosis or inflammatory conditions related to multiple sclerosis based on a sample from the subject, wherein the sample provides a source of RNAs. The method includes using amplification for measuring the amount of RNA corresponding to at least 2 constituents from Table 1. The profile data set comprises the measure of each constituent, and amplification is performed under measurement conditions that are substantially repeatable.

Abstract: A method provides an index that is indicative of the state of a subject, as to a biological condition, based on a sample from the subject. An embodiment of this method includes: deriving from the sample a profile data set, the profile data set including a plurality of members, each member being a quantitative measure of the amount of a distinct RNA or protein constituent in a panel of constituents selected so that measurement of the constituents enables evaluation of the biological condition; and in deriving the profile data set, achieving such measure for each constituent under measurement conditions that are substantially repeatable; and applying values from the profile data set to an index function that provides a mapping from an instance of a profile data set into a single-valued measure of biological condition, so as to produce an index pertinent to the biological condition of the subject.