Abstract: A pool cleaning brush including an attachment portion and at least one brush assembly. The attachment portion is configured for removably connecting with a portion of a tail sweep hose of a swimming pool cleaner. The at least one brush assembly includes at least one cleaning element thereon. As the swimming pool cleaner automatically moves through the swimming pool to clean the same, the pool cleaning brush is carried along with the tail sweep hose and engages the swimming pool surface to agitate, brush and clean the same.

Abstract: A spray diffuser for a pool cleaner is coupled to the end of the tail sweep hose which expels pressurized water out of the end of the hose. The diffuser includes a flow shaping nozzle configured to form a diverging pressurized water stream. The shaping nozzle can be attached directly to the end of the hose with a flow obstruction of the shaping nozzle immediately adjacent the flow discharge. A dissipating portion dissipates the pressurized water stream when the spray diffuser is positioned above the surface of the water to prevent water spraying out of the pool.

Abstract: A feed intake system comprising one or more feeding stations comprising a trough with an animal feeding access, a support frame surrounding the trough, a base frame supporting the trough, a scale unit between the base frame and the support frame enabling the scale unit to weigh the contents of the trough, a station frame with an animal feeding access, a sensor assembly including a sensor or antenna located near the station frame animal feeding access, a control panel and a timestamp generator operationally associated with the sensor assembly and the scale unit, a CPU/processing computer operationally associated with the control panel, one or more animals, each having a RFID tag which transmits RFID signal and tag data, wherein the weight of the feed in the trough is collected and stored in a log file and wherein RFID signal and tag data are collected and stored in a log file.

Abstract: A pool cleaning brush including an attachment portion and at least one brush assembly. The attachment portion is configured for removably connecting with a portion of a tail sweep hose of a swimming pool cleaner. The at least one brush assembly includes at least one cleaning element thereon. As the swimming pool cleaner automatically moves through the swimming pool to clean the same, the pool cleaning brush is carried along with the tail sweep hose and engages the swimming pool surface to agitate, brush and clean the same.

Abstract: A feed intake system comprising one or more feeding stations comprising a trough with an animal feeding access, a support frame surrounding the trough, a base frame supporting the trough, a scale unit between the base frame and the support frame enabling the scale unit to weigh the contents of the trough, a station frame with an animal feeding access, a sensor assembly including a sensor or antenna located near the station frame animal feeding access, a control panel and a timestamp generator operationally associated with the sensor assembly and the scale unit, a CPU/processing computer operationally associated with the control panel, one or more animals, each having a RFID tag which transmits RFID signal and tag data, wherein the weight of the feed in the trough is collected and stored in a log file and wherein RFID signal and tag data are collected and stored in a log file.

Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.

Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.

Abstract: A spray diffuser for a pool cleaner is coupled to the end of the tail sweep hose which expels pressurized water out of the end of the hose. The diffuser includes a flow shaping nozzle configured to form a diverging pressurized water stream. The shaping nozzle can be attached directly to the end of the hose with a flow obstruction of the shaping nozzle immediately adjacent the flow discharge. A dissipating portion dissipates the pressurized water stream when the spray diffuser is positioned above the surface of the water to prevent water spraying out of the pool.

Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.

Abstract: A leaf removal conveyor for a pool skimmer designed to remove leaves and debris from a pool skimmer and skimmer basket and deposit the debris in a collection container. The leaf removal conveyor generally includes a conveyor housing and a collection container for retaining leafs and other debris. The conveyor housing generally includes a belt and a drive mechanism at least partially surrounded by an outer shell. The conveyor housing is configured to extend through an access opening in a pool deck to a skimmer basket. The belt is configured to move leafs and debris from the skimmer basket, through the conveyor housing to the collection container.

Abstract: The present disclosure describes a system and method to segment optical coherence tomography (OCT) images. The present system uses a hybrid method that employs both Bayesian level sets (BLS) and graph-based segmentation algorithms. The system first identifies retinal tissue within an OCT image using the BLS algorithms. The identified retinal tissue is then further segmented using the graph-based segmentation algorithms.

Abstract: Methods and systems are disclosed for obtaining and analyzing information to determine an estimated state of a real world. First information is obtained from a first source of a plurality of sources (e.g., data stores, real-time data streams, or information services), where the first information is potentially indicative of first and second states of the real world. If the first information exceeds a first decision threshold, then the estimated state is the first state, and if the first information exceeds a second decision threshold, then the estimated state is the second state. If the first information does not exceed either of the first and second decision thresholds, then second information is obtained from a second source. Obtaining the second information is based on whether the second source includes information that is relevant to the estimated state and whether the second source includes information that is redundant with the first information.

Abstract: The present disclosure describes a system and method to segment optical coherence tomography (OCT) images. The present system uses a hybrid method that employs both Bayesian level sets (BLS) and graph-based segmentation algorithms. The system first identifies retinal tissue within an OCT image using the BLS algorithms. The identified retinal tissue is then further segmented using the graph-based segmentation algorithms.

Abstract: The present disclosure describes systems and methods to select fovea containing optical coherence tomography (OCT) images. The systems and methods described herein receive a plurality of OCT images. The portion of the OCT images are selected for further processing, where a line tracing the border between the retina and non-retina tissue is generated. A difference of the line is generated. Candidate OCT images are then generated responsive to the generated difference line. The lowest point among each difference lines generated for each of the OCT images is identified, and the OCT image to which the lowest point corresponds is identified as the fovea containing OCT image.

Abstract: A system, method and sealing components for resisting fluid transmission through an interlock joint between first and second sheet piling panels of a barrier assembly. A compressible sealing member is engaged between interlock members of the sheet piling panels as the barrier assembly is constructed. A dispersible sealant is optionally dispersed into the interlock joint upon compression of the sealing member.

Abstract: Methods and systems are disclosed for obtaining and analyzing information to determine an estimated state of a real world. First information is obtained from a first source of a plurality of sources (e.g., data stores, real-time data streams, or information services), where the first information is potentially indicative of first and second states of the real world. If the first information exceeds a first decision threshold, then the estimated state is the first state, and if the first information exceeds a second decision threshold, then the estimated state is the second state. If the first information does not exceed either of the first and second decision thresholds, then second information is obtained from a second source. Obtaining the second information is based on whether the second source includes information that is relevant to the estimated state and whether the second source includes information that is redundant with the first information.

Abstract: A system, method and sealing components for resisting fluid transmission through an interlock joint between first and second sheet piling panels of a barrier assembly. A compressible sealing member is engaged between interlock members of the sheet piling panels as the barrier assembly is constructed. A dispersible sealant is optionally dispersed into the interlock joint upon compression of the sealing member.

Abstract: Fatty branched polyalkoxylates, particularly of the formula: R1O(AO)mR2 (I) where R1 is C8 to C30 aliphatic hydrocarbyl or acyl; AO is predominantly branched alkyleneoxy, particularly propyleneoxy; m is from 2 to 50; and R2 is H or a is C1 to C4 aliphatic hydrocarbyl or acyl, are used as fabric conditioners in CO2 based dry cleaning systems. The cleaning medium may include detergent surfactant and/or non surfactant cleaning additive or may be free from such additives in which case the treatment can be provided in a rinse cycle in a cleaning process.

Abstract: Fatty branched polyalkoxylates, particularly of the formula: R1O(AO)mR2 (I) where R1 is C8 to C30 aliphatic hydrocarbyl or acyl; AO is predominantly branched alkyleneoxy, particularly propyleneoxy; m is from 2 to 50; and R2 is H or a is C1 to C4 aliphatic hydrocarbyl or acyl, are used as fabric conditioners in CO2 based dry cleaning systems. The cleaning medium may include detergent surfactant and/or non surfactant cleaning additive or may be free from such additives in which case the treatment can be provided in a rinse cycle in a cleaning process.

Abstract: Detergent or micelle free cleaning media based on detergent free and/or micelle free liquid CO2 and including from 0.01 to 5% by weight of the formulation of a cleaning additive which is at least one multi-ester having a molecular weight of not more than 750 can be used in dry cleaning of textiles. Desirable cleaning additives are of the formula (1): R1(XR2)n where X, R1, R2, and n have defined meanings, particularly to be esters of multi-carboxylic acids and mono-hydroxy alcohols or esters of mono-carboxylic acids and multi-hydroxy alcohols.