Abstract: A dog storage waste container and bag dispenser including a container assembly that comprises a cylindrical dispensing assembly with a lid assembly and an attaching assembly on the side of the container assembly. The container assembly has a cylindrical body with an aperture to screw the internal threaded portion of the dispensing assembly with the external threaded portion of the container. The lid assembly is located on top of the container assembly in such a way to seal the dispensing assembly and it has a lid opening to pull up the bags to come out. An attaching assembly that comprises a clamp shape is fastened on the side of the container assembly with a couple of fasteners in such a way that is attached to a clip to hold on the user.

Abstract: A luminaire includes a housing configured to be positioned over an area, the housing including a frame having a first channel for receiving a light emitter. A light emitter is positioned in the first channel. The light emitter is configured to emit ultra-violet light. A reflector assembly is connected to the frame to direct ultra-violet light emitted from the light emitter. At least a portion of the area is located at 0 degrees relative to the light emitter and a majority of the emitted ultra-violet light is emitted from the housing between 90 degrees and 130 degrees relative to the light emitter in a first direction.

Abstract: A luminaire includes a housing configured to be positioned over an area, the housing including a frame having a first channel for receiving a light emitter. A light emitter is positioned in the first channel. The light emitter is configured to emit ultra-violet light. A reflector assembly is connected to the frame to direct ultra-violet light emitted from the light emitter. At least a portion of the area is located at 0 degrees relative to the light emitter and a majority of the emitted ultra-violet light is emitted from the housing between 90 degrees and 130 degrees relative to the light emitter in a first direction.

Abstract: This invention relates to a pharmaceutical composition comprising or consisting essentially of the phytocannabinoids cannabidivarin (CBDV) and cannabidiol (CBD). The composition is particularly safe and efficacious for use in the treatment of neurological conditions, characterized by hyper-excitability of the central nervous system, convulsions or seizures such as occur in epilepsy. Preferably the CBDV and the CBD are present with at least one non-cannabinoid component of cannabis such as one or more terpenes or a terpene fraction. More particularly the composition further comprises one or more cannabichromene type compounds. Particularly cannabichromene propyl variant (CBCV) and/or cannabichromene (CBC).

Abstract: Systems and methods to implement a model operation application are provided. The method includes defining a plurality of artifacts of a model operation application, where each artifact has an abstract interface, and each artifact is invoked by a corresponding reference. The method also includes organizing references of data inputs and data sinks of the model operation application into a data channel, where the data channel includes one or more data channel artifacts of the plurality of artifacts. The method further includes combining a plurality of processing steps by reference into a scoring flow, wherein the scoring flow is configured to be managed as one or more scoring flow artifacts of the plurality of artifacts. The method further includes attaching the data channel to the scoring flow to form a scoring pipeline, wherein the scoring pipeline comprises one or more scoring pipeline artifacts of the plurality of artifacts.

Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: A process control tool for processing wide data from automated manufacturing operations. The tool including a feature selector, an analysis server, and a visualization engine. The feature selector receives process input data from at least one manufacturing process application, wherein the process input data includes a plurality of observations and associated variables, converts the received process input data to a stacked format having one row for each variable in each observation, converts identified categorical variables into numerical variables and identified time-series data into fixed numbers of intervals, computes statistics that measure the strengths of relationships between predictor values and an outcome variable, orders, filters, and pivots the predictor values. The analysis server performs at least one operation to identify interactions between predictor values, e.g. using maximum Likelihood computations or predefined searches, in the filtered predictor values.

Abstract: A system for generating algorithmic models comprising a function module to generate a desirability function, an automated machine learning module, and a UI module. The desirability function defines a single desirability value based on an algorithmic model accuracy criteria, criteria for algorithmic model quality, criteria for model fidelity, and criteria for the benefits and cost of model deployment. Specific hard and soft constraints regarding these and other user-defined criteria can also be specified by the user. The automated machine learning module generates an algorithmic model by training the algorithmic model against a model data set, identifying the model with the greatest desirability with respect to all criteria as combined via the desirability function. The UI module generates a user interface to display the overall desirability as well as all model criteria configured by the user. The displayed criteria and desirability are selectable and definable.

Abstract: Systems and methods to screen a predictive model for risks of the predictive model are provided. The method includes obtaining a predictive model and metadata of the predictive model. The method also includes determining, based on a set of criteria for screening the predictive model, a risk of one or more negative consequences associated with the predictive model. The method further includes providing an analysis of the risk of one or more negative consequences.

Abstract: This invention relates to a pharmaceutical composition comprising or consisting essentially of the phytocannabinoids cannabidivarin (CBDV) and cannabidiol (CBD). The composition is particularly safe and efficacious for use in the treatment of neurological conditions, characterized by hyper-excitability of the central nervous system, convulsions or seizures such as occur in epilepsy. Preferably the CBDV and the CBD are present with at least one non-cannabinoid component of cannabis such as one or more terpenes or a terpene fraction. More particularly the composition further comprises one or more cannabichromene type compounds. Particularly cannabichromene propyl variant (CBCV) and/or cannabichromene (CBC).

Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: A method to assess the integrity of a structure is provided and comprises the steps of: i) applying a sinusoidally varying force to the structure at a frequency or frequencies below the lowest frequency that could cause resonance in the structure whereby to set up a dynamic response dominated by the stiffness of the structure; and ii) monitoring the dynamic response of the structure. A device to assess the integrity of a structure is also provided.

Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: An apparatus for estimating analytics and interactive exploration of big data, stored and/or streaming, using approximate query processing is presented. The apparatus comprises a model constructor and a sampler. The model constructor identifies important predictors variables in big data using feature selection, predictor variables, and outcome variables and partitions the important predictor variables into one or more stratifications based either the identified interactions or identified relationships. The sampler generates a subset of data by querying the big data using a query constructed based on at least one stratification. The subset of data can be fed into an analytics generator. The analytics generator generates analytics data for the outcome variables based on the subset of data and an analytics algorithm and a visualization, e.g. an interactive visualization, comprising the outcome variables, the important predictor variables, the stratification, the subset of data, and the analytics data.

Abstract: This invention relates to a pharmaceutical composition comprising or consisting essentially of the phytocannabinoids cannabidivarin (CBDV) and cannabidiol (CBD). The composition is particularly safe and efficacious for use in the treatment of neurological conditions, characterized by hyper-excitability of the central nervous system, convulsions or seizures such as occur in epilepsy. Preferably the CBDV and the CBD are present with at least one non-cannabinoid component of cannabis such as one or more terpenes or a terpene fraction. More particularly the composition further comprises one or more cannabichromene type compounds. Particularly cannabichromene propyl variant (CBCV) and/or cannabichromene (CBC).

Abstract: A luminaire includes a housing configured to be positioned over an area, the housing including a frame having a first channel for receiving a light emitter. A light emitter is positioned in the first channel. The light emitter is configured to emit ultra-violet light. A reflector assembly is connected to the frame to direct ultra-violet light emitted from the light emitter. At least a portion of the area is located at 0 degrees relative to the light emitter and a majority of the emitted ultra-violet light is emitted from the housing between 90 degrees and 130 degrees relative to the light emitter in a first direction.

Abstract: An algorithmic real-time learning engine comprising an algorithmic model generator configured to process a set of system variables from a big data source using at least one of a pattern recognition algorithm and a statistical test algorithm to identify patterns, relationships between variables, and important variables; and generate at least one of: a predictive model based on the identified patterns, relationships between variables, and important variables; statistical test model about correlations, differences between variables, or patterns in time across variables; and recurring clusters model of similar observations across variables. A data preprocessor can select system variables of interest, align the selected system variables based on time, and arrange the aligned variables into rows. The selected system variables can also be aggregated based on a pre-defined aggregate.

Abstract: An apparatus for estimating analytics and interactive exploration of big data, stored and/or streaming, using approximate query processing is presented. The apparatus comprises a model constructor and a sampler. The model constructor identifies important predictors variables in big data using feature selection, predictor variables, and outcome variables and partitions the important predictor variables into one or more stratifications based either the identified interactions or identified relationships. The sampler generates a subset of data by querying the big data using a query constructed based on at least one stratification. The subset of data can be fed into an analytics generator. The analytics generator generates analytics data for the outcome variables based on the subset of data and an analytics algorithm and a visualization, e.g. an interactive visualization, comprising the outcome variables, the important predictor variables, the stratification, the subset of data, and the analytics data.

Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: A luminaire includes a housing, a light diffusion panel, a reflective surface, and a plurality of light sources. The light diffusion panel includes a light source aperture, an edge surface bounding the light source aperture, and an emission surface. The emission surface includes first and second emission surface sections. The second emission surface section is disposed on an opposite side of the light source aperture from the first emission surface section. The reflective surface is disposed on a side of the light diffusion panel opposite the emission surface. The light sources project light into the light diffusion panel through the edge surface. The light sources include first and second light sources. The first light source projects light into the light diffusion panel and through the first emission surface section. The second light source projects light into the light diffusion panel and through the second emission surface section.