Abstract: A computer system is provided for monitoring and detecting changes in a data generating processes, which may be under a multi-dimensional and unsupervised setting. A target dataset is split into paired subgroups by a separator and one or more detectors are applied to detect changes, anomalies, inconsistencies, and the like between the paired subgroups. Metrics may be generated by the detector(s), which are then passed to an evaluating system.

Abstract: A computer system stores data sets, a target metric, and a parameter that indicates a desired number of synthesized data sets, and a neural network. The neural network includes a summing node and multiple processing nodes. One or more hardware processors is configured to perform operations where each processing node of a neural network weights input data set values, determines gating operations to select processing operations, and generates a node output by applying the gating operations to weighted input data set values. Weighted node outputs from the processing nodes produce a value for the target parameter. The neural network is trained until the neural network converges. One or more nodes is selected, and for each selected node, a subset of the input data sets and a subset of the gating operations are selected. The selected input data set values are processed with the selected processing nodes using the selected subset of gating operations to produce synthesized data sets.

Abstract: A method of determining particle size distribution from multi-angle dynamic light scattering data, comprising: obtaining a series of measured correlation functions g(?i) at scattering angles ?i; and solving an equation comprising [ g ? ( ? 1 ) … g ? ( ? n ) ] = [ ? 1 ? K ? ( ? 1 ) … ? n ? K ? ( ? n ) ] ? x , wherein: K(?i) is the instrument scattering matrix computed for angle i, x is the particle size distribution, and ?i is the scaling coefficient for angle i. The method comprises using the steps: a) providing initial estimates for scaling factors ?2 to ?n, and defining ?1=1; b) iterating scaling factors ?2 to ?n using a non-linear solver; c) solving for x using a linear solver; d) calculate residual; e) repeat steps b) to d) while the residual is greater than a predefined exit tolerance.

Abstract: An elevator guide having a bracket and a hub moveable relative to the bracket. A face arm and opposing side arms are connected to a cylindrical portion of the hub each having at least one guide member (e.g., wheel) or a gib assembly connected to the cylindrical portion of the hub. A self-centering hub spring is preferably provided. An adjustable hub spring force adjustment member for independently varying the spring force of the hub spring and an adjustable stop for independently adjusting the distance the hub can move away from an elevator rail are provided. The hub preferably includes one or more lubricant receiving members configured to enhance distribution of a lubricant. One or more components of the guide include one or more initial set-up markings that readily allow a user to position one or more components in an optimal set-up position to significantly reduce assembly time. The hub and hub spring are preferably configured to prevent the hub spring from falling out of the hub.

Abstract: The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.

Abstract: A computer system receives and stores data sets, a target metric, and a parameter that indicates a desired number of synthesized data sets. A hardware processor performs operations where each processing node of a neural network weights input data set values, determines gating operations to select processing operations, and generates a node output by applying the gating operations to weighted input data set values. The neural network is trained by modifying the gating operations, the input weight values, and the node output weight value until convergence. One or more nodes is selected having a larger magnitude node output weight value. Selected input data set values are processed with selected processing nodes using a selected subset of gating operations to produce the desired number of synthesized data sets. Names are generated for each of the synthesized data sets.

Abstract: A computer system includes a transceiver that receives over a data communications network different types of input data from multiple source nodes and a processing system that defines for each of multiple data categories, a set of groups of data objects for the data category based on the different types of input data. Predictive machine learning model(s) predict a selection score for each group of data objects in the set of groups of data objects for the data category for a predetermined time period. Control machine learning model(s) determine how many data objects are permitted for each group of data objects based on the selection score. Decision-making machine learning model(s) prioritize the permitted data objects based on one or more predetermined priority criteria. Subsequent activities of the computer system are monitored to calculate performance metrics for each group of data objects and for data objects actually selected during the predetermined time period.

Abstract: Apparatus for determining an agricultural condition in an agricultural environment, the apparatus including one or more processing devices configured to acquire spectral data by measuring sample radiation at least one of reflected from and transmitted through an agricultural sample obtained from the agricultural environment, use the spectral data and at least one computational model to determine an agricultural condition, the computational model embodying relationships between the spectral data and different agricultural conditions and use the agricultural condition to determine an indicator indicative of at least one of: the agricultural condition and an intervention to improve the agricultural condition.

Abstract: The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.

Abstract: Phosphorylation and dephosphorylation of MENA and MENA isoforms regulates the metastatic activity of cancer cells. Administration of a MENA kinase inhibitor results in significant reduction in the development of cancer metastasis in established and developing tumors. Administration of a MENA kinase inhibitor in conjunction with a tyrosine kinase inhibitor enhances efficacy of tyrosine kinase inhibitor therapy. Administration of a MENA kinase inhibitor in conjunction with anti-microtubule agent results in significant reduction in chemotherapy-induced tumor cell dissemination and enhances efficacy of anti-microtubule therapy.

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 elevator guide having a bracket and a hub moveable relative to the bracket. A face arm and opposing side arms are connected to a cylindrical portion of the hub each having at least one guide member (e.g., wheel) or a gib assembly connected to the cylindrical portion of the hub. A self-centering hub spring is preferably provided. An adjustable hub spring force adjustment member for independently varying the spring force of the hub spring and an adjustable stop for independently adjusting the distance the hub can move away from an elevator rail are provided. The hub preferably includes one or more lubricant receiving members configured to enhance distribution of a lubricant. One or more components of the guide include one or more initial set-up markings that readily allow a user to position one or more components in an optimal set-up position to significantly reduce assembly time. The hub and hub spring are preferably configured to prevent the hub spring from falling out of the hub.

Abstract: A continuous casting apparatus includes a first belt carried by a first upstream pulley and a first downstream pulley, a second belt carried by a second upstream pulley and a second downstream pulley, and a mold region defined by a first mold support section arranged behind the first belt and a second mold support section arranged behind the second belt. The first mold support section supports the first belt and defines a shape of the first belt in the mold region and the second mold support section supports the second belt and defines a shape of the second belt in the mold region. At least one of the first mold support section and the second mold support section includes a transition portion and a generally planar portion downstream from the transition portion. The transition portion has a variable radius configured to receive molten metal from a metal feeding device.

Abstract: A continuous casting apparatus includes a first belt carried by a first upstream pulley and a first downstream pulley, a second belt carried by a second upstream pulley and a second downstream pulley, and a mold region defined by a first mold support section arranged behind the first belt and a second mold support section arranged behind the second belt. The first mold support section supports the first belt and defines a shape of the first belt in the mold region and the second mold support section supports the second belt and defines a shape of the second belt in the mold region. At least one of the first mold support section and the second mold support section includes a transition portion and a generally planar portion downstream from the transition portion. The transition portion has a variable radius configured to receive molten metal from a metal feeding device.

Abstract: A power line sensor including a housing and a near field sensor. The housing is configured to couple to a power line. The near field sensor is configured to sense a leakage current on the power line.

Abstract: A method of determining particle size distribution from multi-angle dynamic light scattering data, comprising: obtaining a series of measured correlation functions g(?i) at scattering angles ?i; and solving an equation comprising [ g ? ( ? 1 ) … g ? ( ? n ) ] = [ ? 1 ? K ? ( ? 1 ) … ? n ? K ? ( ? n ) ] ? x , wherein: K(?i) is the instrument scattering matrix computed for angle i, x is the particle size distribution, and ?i is the scaling coefficient for angle i. The method comprises using the steps: a) providing initial estimates for scaling factors ?2 to ?n, and defining ?1=1; b) iterating scaling factors ?2 to ?n using a non-linear solver; c) solving for x using a linear solver; d) calculate residual; e) repeat steps b) to d) while the residual is greater than a predefined exit tolerance.

Abstract: The present invention provides, in various embodiments, a miniature movable-beam laser objective configured to fit within the very small dimensions of a standard objective. This small, portable movable-laser source allows the beam to be directed at a computer-generated target or at the spot of a focused target-designator beam.

Abstract: A receptacle including an electronic processor configured to receive information from an external load and determine, from the information, an operation profile of the external load. The electronic processor analyzes a present operation of the external load and discontinues power to the external load when a present operation of the external load differs from the operational profile.

Abstract: The present invention provides, in various embodiments, a miniature movable-beam laser objective configured to fit within the very small dimensions of a standard objective. This small, portable movable-laser source allows the beam to be directed at a computer-generated target or at the spot of a focused target-designator beam.

Abstract: A computer system is provided for monitoring and detecting changes in a data generating processes, which may be under a multi-dimensional and unsupervised setting. A target dataset is split into paired subgroups by a separator and one or more detectors are applied to detect changes, anomalies, inconsistencies, and the like between the paired subgroups. Metrics may be generated by the detector(s), which are then passed to an evaluating system.