Abstract: An inverted roof membrane assembly comprising: a) a waterproofing membrane suitable for direct or indirect mounting on top of a roof decking, b) at least one layer of the polymer foam insulation board directly or indirectly on top of a), c) a flame-resistant fabric shield directly or indirectly on top of b), said flame-resistant fabric shield having a water vapor permeability of 1.0 perm or greater; and d) a ballast layer directly or indirectly on top of c).

Abstract: The present invention relates to a vaccine comprising an antigen of Lawsonia intracellularis and one or more antigens of at least one further pathogen selected from the group of porcine circovirus (PCV), Mycoplasma hyopneumoniae (M. hyo.) and porcine respiratory and reproductive syndrome virus (PRRSV), wherein the antigen of Lawsonia intracellularis is live Lawsonia intracellularis.

Abstract: Pelleted compositions of legume forages including Arachis glabrata and/or Crotalaria juncea L. are disclosed. Arachis glabrata and/or Crotalaria juncea L. can be pelleted alone or in combination with other forages such as alfalfa, clover, and lespedeza. The pellets can be of various shapes and sizes, for example about 6.3-10.0 mm diameter and/or 13-25 mm length cylinders. The density of per unit of pellets can be about 960-1120 kg/m3. Also disclosed are methods of using the pelleted compositions. Such methods involve improving weight gain or growth of animals by causing the animal to ingest the disclosed compositions. Methods for preventing or treating gastrointestinal nematode infections in animals are also provided. Animals that may benefit from the disclosed compositions include, but are not limited to equidae, ruminants, and zoo animals, for example, horses, cattle (both beef and dairy), sheep, goats, pigs, rabbits, and ostriches.

Abstract: The disclosure pertains to methods and compositions for treating disorders affecting the central nervous system (CNS). These disorders include neurometabolic disorders such as lysosomal storage diseases that affect the central nervous system, e.g., Niemann-Pick A disease. They also include disorders such as Alzheimer's disease. The disclosed methods involve contacting an axonal ending of a neuron with a composition containing high titer AAV carrying a therapeutic transgene so that the AAV vector is axonally transported in a retrograde fashion and transgene product is expressed distally to the administration site.

Abstract: A method of alarm notification includes providing data for an industrial process including stored alarm event data and stored Key Performance Indicator (KPI) data, and an alarm event-KPI correlation and operator notification system. Patterns of relationships are discovered between the stored alarm event and KPI data to provide a reference pattern database that identifies KPI violation events in the KPI data as a function of the alarm event data or alarm events in the alarm event data as a function of the KPI data. Pattern matching uses a real-time alarm event and real-time KPI data to determine a pattern similarity by comparing a current sequence spanning a predetermined time of the real-time alarm event and KPI data to the patterns. When the pattern matching identifies a current alarm event or KPI violation event, an operator is notified and a predicted KPI value or feature or a predicted alarm event.

Abstract: Broad cerebrospinal fluid (CSF) distribution of an agent is achievable by delivering the agent in a liquid formulation to the CSF at flow rates less than 500 microliters per hour, such as between about 2 microliters per hour and about 100 microliters per hour.

Abstract: Broad cerebrospinal fluid (CSF) distribution of an agent is achievable by delivering the agent in a liquid formulation to the CSF at flow rates less than 500 microliters per hour, such as between about 2 microliters per hour and about 100 microliters per hour.

Abstract: A method of tuning alarm parameters for condition monitoring of processing equipment in an industrial processing facility (IPF). For a selected process variable a first histogram is displayed from stored historical process data. An initial process alarm threshold is overlayed on the first histogram, and ON-time delay alarms are computed using an initial zero ON-time delay that would have occurred. A second histogram displays a distribution of alarms run length from alarm event data with the zero ON-time delay. Alarm tuning adjusts the initial process alarm threshold and/or the initial time delay, and an alarm performance is then evaluated from viewing the first and second histogram or viewing a hybrid display providing a time series plot including alarm event and process data, and the adjusting is repeated until the evaluating is deemed satisfactory. The new alarm tuning values are implemented to a control system of the IPF.

Abstract: A method of tuning alarm parameters for condition monitoring of processing equipment in an industrial processing facility (IPF). For a selected process variable a first histogram is displayed from stored historical process data. An initial process alarm threshold is overlayed on the first histogram, and ON-time delay alarms are computed using an initial zero ON-time delay that would have occurred. A second histogram displays a distribution of alarms run length from alarm event data with the zero ON-time delay. Alarm tuning adjusts the initial process alarm threshold and/or the initial time delay, and an alarm performance is then evaluated from viewing the first and second histogram or viewing a hybrid display providing a time series plot including alarm event and process data, and the adjusting is repeated until the evaluating is deemed satisfactory. The new alarm tuning values are implemented to a control system of the IPF.

Abstract: A method of alarm notification includes providing data for an industrial process including stored alarm event data and stored Key Performance Indicator (KPI) data, and an alarm event-KPI correlation and operator notification system. Patterns of relationships are discovered between the stored alarm event and KPI data to provide a reference pattern database that identifies KPI violation events in the KPI data as a function of the alarm event data or alarm events in the alarm event data as a function of the KPI data. Pattern matching uses a real-time alarm event and real-time KPI data to determine a pattern similarity by comparing a current sequence spanning a predetermined time of the real-time alarm event and KPI data to the patterns. When the pattern matching identifies a current alarm event or KPI violation event, an operator is notified and a predicted KPI value or feature or a predicted alarm event.

Abstract: A method of assisted machine learning for condition monitoring for process equipment or process health includes providing a subject matter expert (SME) assisted monitoring rule generation algorithm for generating mathematical monitoring rules. The algorithm implements receiving SME rating instructions whether to include or ignore each of a plurality of time-series data samples which include at least one process parameter in a pattern, a time stamp and the process equipment the data is sensed from and the equipment's location in the process to provide SME selected time-series data samples, and an initial first rule precursor. Rule results are generated from running the initial first rule precursor on the data samples. Rule results are compared to the SME rating instructions to provide an agreement or disagreement finding. At least once a received change from the SME is implemented which modifies the initial first rule precursor to generate a first mathematical monitoring rule.

Abstract: A system for reducing environmentally harmful emissions from an internal combustion engine. The system may incorporate an exhaust after-treatment device. The exhaust after-treatment device may use selective catalytic reduction to remove certain emissions from the exhaust of the engine. Urea solution may be inserted into the exhaust emissions, which is decomposed to ammonia to become a reduction agent for reduction of NOx in the emissions. The engine may be managed by a controller and the exhaust after-treatment device may be managed by another controller. These controllers may be cascaded, or be managed by a third controller that provides hierarchical or coordinated control of engine performance and emissions reduction. The engine and the exhaust after-treatment device may be modeled to aid in designing and building a system for coordinated control of an actual engine and a selective catalytic reduction after-treatment device. The controllers may be predictive model controllers.

Abstract: The disclosure pertains to methods and compositions for treating disorders affecting the central nervous system (CNS). These disorders include neurometabolic disorders such as lysosomal storage diseases that affect the central nervous system, e.g., Niemann-Pick A disease. They also include disorders such as Alzheimer's disease. The disclosed methods involve contacting an axonal ending of a neuron with a composition containing high titer AAV carrying a therapeutic transgene so that the AAV vector is axonally transported in a retrograde fashion and transgene product is expressed distally to the administration site.

Abstract: Provided are methods and systems for selectively communicating data between a source device and one or more sink devices. The method includes generating a selection signal based on received configuration data associated with the sink device(s). Based at least in part on the selection signal, the data can be caused to be selectively provided to the sink device(s) by the first device. The data includes Universal Serial Bus (USB) protocol data, uncompressed high definition media data, or a combination thereof. In forward connections, the data may be provided variously at one of the following rates: 2.7 Gbps, 5.4 Gbps, 3.375 Gbps, and 6.75 Gbps. At 6.75 Gbps, the data may include a combination of USB data and audio/video data (having high resolution high definition video) or just standalone audio/video data (having higher resolution high definition video). In backward connections, the data includes USB data and can be transferred at either 2.7 Gbps and 3.375 Gbps.

Abstract: A system and method are disclosed for configuring video ports on a computer. An operating system is used to generate a visual user interface comprising a plurality of icons representing video input sources coupled to a tuner and a plurality of icons representing tuner output channels. A user provides input data to associate individual video input sources with individual tuner output channels, thereby generating a set of predetermined video source-channel associations. Appropriate control signals are then used to process video data in accordance with said predetermined video source-channel associations.

Abstract: A method and system for configuring a model of a process. A model of a process is provided, which follows a particular sequence. Such a model includes a plurality of component sub-models, wherein each component sub-model among the component sub-models includes one or more input variables and one or more output variables. Such a method and system also generally includes automatically assigning one or more output variables to one or more input variables based on information associated with the particular sequence of the process.

Abstract: A system for reducing environmentally harmful emissions from an internal combustion engine. The system may incorporate an exhaust after-treatment device. The exhaust after-treatment device may use selective catalytic reduction to remove certain emissions from the exhaust of the engine. Urea solution may be inserted into the exhaust emissions, which is decomposed to ammonia to become a reduction agent for reduction of NOx in the emissions. The engine may be managed by a controller and the exhaust after-treatment device may be managed by another controller. These controllers may be cascaded, or be managed by a third controller that provides hierarchical or coordinated control of engine performance and emissions reduction. The engine and the exhaust after-treatment device may be modeled to aid in designing and building a system for coordinated control of an actual engine and a selective catalytic reduction after-treatment device. The controllers may be predictive model controllers.

Abstract: An engine control unit having a one-time integration of a model predictive control template via a potentially long software process. Changes to the control structure may subsequently be made via a calibration dataset connected to the engine control unit without incurring the potentially long and laborious software process of implementing the template of other approaches in the related art.

Abstract: Broad cerebrospinal fluid (CSF) distribution of an agent is achievable by delivering the agent in a liquid formulation to the CSF at flow rates less than 500 microliters per hour, such as between about 2 microliters per hour and about 100 microliters per hour.

Abstract: A method and system for configuring a model of a process. A model of a process is provided, which follows a particular sequence. Such a model includes a plurality of component sub-models, wherein each component sub-model among the component sub-models includes one or more input variables and one or more output variables. Such a method and system also generally includes automatically assigning one or more output variables to one or more input variables based on information associated with the particular sequence of the process.