Abstract: The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.

Abstract: Described herein are methods, devices, systems, software, and platforms used to evaluate individuals such as children for behavioral disorders, developmental delays, and neurologic impairments. Specifically, described herein are methods, devices, systems, software, and platforms that are used to analyze video and/or audio recordings of individuals having one or more behavioral disorders, developmental delays, and neurologic impairments.

Abstract: Described herein is software used to evaluate individuals such as children for behavioral disorders, developmental delays, and neurological impairments. Specifically, described herein is software configured for use along with methods, devices, systems, and platforms that are used to analyze to aid in the positive or negative diagnosis of individuals for one or more behavioral disorders, developmental delays, and neurological impairments.

Abstract: The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.

Abstract: Cassandra SSTable data is transformed to provide data rows that are a consistent size such that data in each row has a length that is contained within a selected fixed sized kilobyte segment for deduplication. Tables of a Cassandra cluster node are translated in parallel to JSON format using Cassandra SSTableDump and the table rows are parsed to provide data rows corresponding to the data in each table row. Each row of data is padded with a predictable pattern of bits such that the data row has a length corresponding to the selected fixed segment size and has boundary locations that correspond to multiple of the selected segment size. Since each row of data starts on a segment boundary, duplicate rows of data will be identified wherever they move within a table.

Abstract: Cassandra SSTable data is transformed to provide data rows that are a consistent size such that data in each row has a length that is contained within a selected fixed sized kilobyte segment for deduplication. Tables of a Cassandra cluster node are translated in parallel to JSON format using Cassandra SSTableDump and the table rows are parsed to provide data rows corresponding to the data in each table row. Each row of data is padded with a predictable pattern of bits such that the data row has a length corresponding to the selected fixed segment size and has boundary locations that correspond to multiple of the selected segment size. Since each row of data starts on a segment boundary, duplicate rows of data will be identified wherever they move within a table.

Abstract: A machine learning method automates the generation of demand response messages to homeowners for utilities. Electric meter data is used to determine a confidence level that the house is occupied so that demand response messages are not sent to unoccupied houses. Demand response messages are associated with a profile. For an initial deployment of a demand response program, a variety of message profiles are tested to study the effectiveness of the communication. After each demand response event, the profile of each message sent to each user is evaluated to learn more effective approaches for future messages. Over time, the learning of the effectiveness of the message profile provides a more precise and complete behavioral model of the user to assess how to motivate energy savings. Continually updating the behavioral model of the user responses to demand response messages increases the likelihood to engage users to participate in demand response events.

Abstract: A machine learning method automates the generation of demand response messages to homeowners for utilities. Electric meter data is used to determine a confidence level that the house is occupied so that demand response messages are not sent to unoccupied houses. Demand response messages are associated with a profile. For an initial deployment of a demand response program, a variety of message profiles are tested to study the effectiveness of the communication. After each demand response event, the profile of each message sent to each user is evaluated to learn more effective approaches for future messages. Over time, the learning of the effectiveness of the message profile provides a more precise and complete behavioral model of the user to assess how to motivate energy savings. Continually updating the behavioral model of the user responses to demand response messages increases the likelihood to engage users to participate in demand response events.

Abstract: The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.

Abstract: The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.

Abstract: An apparatus for forming a continuous preparation ply of the type used to make vehicle tires from preparation ply sections having nonmetallic cords. An infeed conveyor successively feeds the preparation ply sections to a butt splicing machine that joins the ends of the two preparation ply sections to form a butt joint. A gum strip applier receives the continuous preparation ply from an outfeed conveyor and applies a gum strip over the butt joint. A method is provided for forming a continuous preparation ply by first automatically forming a butt joint, and thereafter automatically placing a gum strip on the butt joint.

Abstract: Provided are strain hardened high strength nickel based alloy welds that yield improved properties and performance in joining high strength metals. The advantageous weldments include two or more segments of ferrous or non-ferrous components, and fusion welds, friction stir welds, electron beam welds, laser beam welds, or a combination thereof bonding adjacent segments of the components together, wherein the welds comprise a strain hardened nickel based alloy weld metal composition including greater than or equal to 10 wt % Mo based on the total weight of the nickel based alloy weld metal composition. Also provided are methods for forming the welds from the nickel based alloy weld compositions. The strain hardened high strength nickel based alloy welds are useful in the oil, gas and petrochemical industry in applications for natural gas transportation and storage, oil and gas well completion and production, and oil and gas refinery and chemical plants.

Abstract: Provided are precipitation hardened high strength nickel based alloy welds that yield improved properties and performance in joining high strength metals. The advantageous weldments include two or more segments of ferrous or non-ferrous components, and fusion welds, friction stir welds, electron beam welds, laser beam welds, or a combination thereof bonding adjacent segments of the components together, wherein the welds comprise a precipitation hardened nickel based alloy weld metal composition including greater than or equal to 1.4 wt % of combined aluminum and titanium based on the total weight of the nickel based alloy weld metal composition. Also provided are methods for forming the welds from the nickel based alloy weld compositions, wherein the precipitation hardening occurs in the as-welded condition. The nickel based welds do not require a separate heat treatment step after welding to produce advantageous strength properties.

Abstract: The subject matter described herein includes methods and systems for dynamically rate limiting slowpath processing of exception packets. According to one embodiment, a method includes monitoring processing resources in a packet forwarding device used for performing slowpath processing of exception packets at the packet forwarding device. It is determined whether usage of the processing resources used for slowpath processing exceeds a first threshold and, in response to determining that the processing resources exceed the first threshold, rate limiting the slowpath processing of the exception packets.

Abstract: Provided are butt welds and methods of making such butt welds using a combination of fusion root welding and friction stir welding to yield welds with decreased propensity for dropout during friction stir welding without the need for a back-up support plate. In one form of the present disclosure, the butt weld includes: two or more abutting structural steel components beveled on faying surfaces on one side of the components to form a suitably shaped fusion root weld groove and unbeveled on faying surfaces on the opposite side of the components and interconnected with a first fusion root weld on the beveled side of the components and a second friction stir weld on the unbeveled side of the components, wherein the first fusion root weld has a width ranging from 7 mm to 30 mm, a penetration depth ranging from 2 mm to 20 mm, and an overfill ranging from 2 mm to 5 mm, and wherein the stir zone of the second friction stir weld penetrates the first fusion root weld.

Abstract: The subject matter described herein includes methods and systems for dynamically rate limiting slowpath processing of exception packets. According to one embodiment, a method includes monitoring processing resources in a packet forwarding device used for performing slowpath processing of exception packets at the packet forwarding device. It is determined whether usage of the processing resources used for slowpath processing exceeds a first threshold and, in response to determining that the processing resources exceed the first threshold, rate limiting the slowpath processing of the exception packets.

Abstract: Provided are butt welds and methods of making such butt welds using a combination of fusion root welding and friction stir welding to yield welds with decreased propensity for dropout during friction stir welding without the need for a back-up support plate. In one form of the present disclosure, the butt weld includes: two or more abutting structural steel components beveled on faying surfaces on one side of the components to form a suitably shaped fusion root weld groove and unbeveled on faying surfaces on the opposite side of the components and interconnected with a first fusion root weld on the beveled side of the components and a second friction stir weld on the unbeveled side of the components, wherein the first fusion root weld has a width ranging from 7 mm to 30 mm, a penetration depth ranging from 2 mm to 20 mm, and an overfill ranging from 2 mm to 5 mm, and wherein the stir zone of the second friction stir weld penetrates the first fusion root weld.

Abstract: Provided are steel structures methods of making such steel structures including structural steel components bonded by friction stir weldments with advantageous microstructures to yield improved weldment strength and weldment toughness. In one form of the present disclosure, the steel structure includes: two or more structural steel components produced by conventional melting or secondary refining practices and friction stir weldments bonding faying surfaces of the components together, wherein the chemistry and grain size of the starting structural steel satisfies one or more of the following criteria: a) 0.02 wt %<Ti+Nb<0.12 wt %, b) 0.7<Ti/N<3.5, c) 0.5 wt %<Mo+W+Cr+Cu+Co+Ni<1.75 wt %, d) 0.01 wt %<TiN+NbC+TiO/MgO<0.

Abstract: Provided are strain hardened high strength nickel based alloy welds that yield improved properties and performance in joining high strength metals. The advantageous weldments include two or more segments of ferrous or non-ferrous components, and fusion welds, friction stir welds, electron beam welds, laser beam welds, or a combination thereof bonding adjacent segments of the components together, wherein the welds comprise a strain hardened nickel based alloy weld metal composition including greater than or equal to 10 wt % Mo based on the total weight of the nickel based alloy weld metal composition. Also provided are methods for forming the welds from the nickel based alloy weld compositions. The strain hardened high strength nickel based alloy welds are useful in the oil, gas and petrochemical industry in applications for natural gas transportation and storage, oil and gas well completion and production, and oil and gas refinery and chemical plants.

Abstract: The disclosed invention is directed to a method and system which allows publishers to create hybrid elearning courses and to publish the courses to a variety of environments including to an LMS, a web interface, or a CD-ROM. Through a “syndication” process, the hybrid elearning courses are associated with consuming organizations downstream of the publisher; such consuming organizations and/or roles within such organizations may be allowed to edit or customize those portions of the courses which have been labeled as “consumer editable.