Abstract: An approach is provided in which the approach receives scored records that include a selected scored record comprising a first fairness group attribute, a first prediction, and a first confidence value corresponding to the first prediction. The approach perturbs the selected scored record to a second fairness group attribute in response to determining that the first confidence value is below a confidence threshold. The approach scores the perturbed record to generate a second prediction and a second confidence value corresponding to the second prediction. The approach modifies the selected scored record by changing the first prediction to the second prediction in response to determining that the second prediction is different from the first prediction and that the second confidence value is higher than the confidence threshold.

Abstract: The present disclosure relates to means of managing eye-length disorders, like myopia. The invention includes an apparatus and methods for the prescription, selection, supply and fitting of sets, stocks, or kits of pairs of myopia management spectacles, or spectacle fronts, attachable impermanent auxiliary optical films or mini optical elements used in conjunction with standard single vision spectacles, wherein the apparatus and methods are configured to provide substantially toric, or astigmatic, or asymmetric, directional optical cues to decelerate, ameliorate, control, inhibit, or reduce the rate of myopia progression over time, wherein the method is a prescribed care regimen providing temporal and spatial variation to the directional optical cues or stop signals.

Abstract: An apparatus, system, method, and computer-readable recording media perform smart control in a wireless network, which includes a plurality of wireless devices. Configuration parameters are obtained to set one wireless device as an active master device in the wireless network. The active master device receives updates in the configuration parameters and learned station (STA) information, and periodically transmits the updates to the configuration parameters and the learned STA information to the other wireless devices in the wireless network. Any one of the other wireless devices in the wireless network can use the updates to the configuration parameters and the learned STA information to be set as a new active master device in the wireless network when the active master device becomes out of network.

Abstract: A high salinity feed water such as seawater is treated to produce a reverse osmosis (RO) concentrate and an RO permeate. Optionally, some or all of the RO concentrate may be filtered to produce a nanofiltration (NF) permeate. Optionally, some feed water can also be filtered to produce NF permeate without first being concentrated by RO treatment. The NF permeate, or a blend of the RO permeate and NF permeate, may be used to produce a product water for injection into an oil-bearing reservoir to enhance oil recovery. Optionally, the product water may have salinity greater than the feedwater, or at least 30 g/L. The product water may have hardness of less than 20 mg/L.

Abstract: Embodiments herein provide a method for managing private content by an electronic device (100). The method includes: displaying content on a screen of the electronic device (100), wherein the content is stored in a non-secure folder of the electronic device (100) and extracting a feature(s) of the displayed content to categorize the displayed content using a machine learning (ML) model. Further, the method includes categorizing the displayed content into the private content or public content based on globally objectionable private content and user-specific objectionable private content. Further, the method includes displaying a recommendation on the screen of the electronic device (100) for transferring the displayed content into a secure folder of the electronic device (100), detecting an event to transfer the private content into the secure folder of the electronic device (100), and automatically transferring the private content from the non-secure folder to the secure folder of the electronic device (100).

Abstract: An apparatus, system, method, and computer-readable recording media perform smart control in a wireless network, which includes a plurality of wireless devices. Configuration parameters are obtained to set one wireless device as an active master device in the wireless network. The active master device receives updates in the configuration parameters and learned station (STA) information, and periodically transmits the updates to the configuration parameters and the learned STA information to the other wireless devices in the wireless network. Any one of the other wireless devices in the wireless network can use the updates to the configuration parameters and the learned STA information to be set as a new active master device in the wireless network when the active master device becomes out of network.

Abstract: A mixing assembly for a combustor, including: a pilot mixer and a pilot fuel nozzle; a main mixer including: a main housing surrounding the pilot mixer; a fuel manifold positioned between the pilot housing and the main housing; a mixer foot extending outward from a forward end of the main housing; a main swirler body surrounding the main housing such that an annular mixing channel is defined between the main housing and the main swirler body, and coupled to the mixer foot; and a main fuel ring in the mixing channel downstream of the mixer foot connected to the main housing by main fuel vanes, at least one of the main fuel ring and the main fuel vanes including fuel injection ports positioned to discharge fuel into a central portion of the mixing channel, wherein the mixer foot extends farther from the main housing than the main fuel ring.

Abstract: A system and related method score a fairness of an outcome model. The method comprises receiving a set of original transaction records (OTRs), and selecting an OTR subset of the OTRs according to a subset selection criteria in order to reduce a number of OTRs to send to outcome model. For each OTR in the subset a perturbed transaction record (PTR) is created based on the OTR that includes changing at least one attribute in the PTR from the OTR, sending the OTR and the PTR to the outcome model, receiving an OTR outcome and a PTR outcome from the outcome model, and determining a record bias score for the OTR outcome and the PTR outcome respectively that indicates bias in the respective outcome. The OTR and the PTR bias score are stored in a bias determination system (BDS) database.

Abstract: A machine learning model data quality improvement detection tool is provided for identifying an accurate reference group and an accurate monitored group of a machine learning model. The tool monitors a behavior of the machine learning model for a predetermined time frame. The tool compares a determined fairness metric a pre-defined fairness threshold. Responsive to the fairness metric failing to meet the pre-defined fairness threshold, the tool modifies the monitored group to include a first portion of the reference group. The tool compares a newly determined fairness metric to the pre-defined fairness threshold. Responsive to the newly determined fairness metric meeting the pre-defined fairness threshold, the tool identifies the modified monitored group including the first portion of the user-defined reference group as a new monitored group and the modified reference group without the first portion of the user-defined reference group as a new reference group.

Abstract: An approach is provided for optimizing data fetching. A query employing a method to fetch data from a JSON document is received. An amount of time required to execute the query and a number of nested layers in a traversal of the JSON document required to fetch the data are determined. Based on the amount of time and the number of nested layers, a cost associated with an execution of the query is calculated. The cost is determined to exceed a threshold value. Responsive to the determination that the cost exceeds the threshold value and using historical query patterns and historical query execution times, a schema of the JSON document is re-designed. The data is fetched from the JSON document using the re-designed schema.

Abstract: The present disclosure is directed to lenses, devices, methods and/or systems for addressing refractive error. Certain embodiments are directed to changing or controlling the wavefront of the light entering a human eye. The lenses, devices, methods and/or systems can be used for correcting, addressing, mitigating or treating refractive errors and provide excellent vision at distances encompassing far to near without significant ghosting. The refractive error may for example arise from myopia, hyperopia, or presbyopia with or without astigmatism. Certain disclosed embodiments of lenses, devices and/or methods include embodiments that address foveal and/or peripheral vision. Exemplary of lenses in the fields of certain embodiments include contact lenses, corneal onlays, corneal inlays, and lenses for intraocular devices both anterior and posterior chamber, accommodating intraocular lenses, electro-active spectacle lenses and/or refractive surgery.

Abstract: A computer device receives historical prediction data, where the historical prediction data includes historical data and corresponding predictions generated for the historical data by a regression machine learning model. The computing device identifies undesired predictions in the historical prediction data based, at least in part, on a perturbation analysis, where the perturbation analysis includes modifying an attribute of the historical data and using the regression machine learning model to generate predictions for the historical data with the modified attribute. The computing device trains a binary classification model to classify predictions as undesired, using the historical prediction data and the identified undesired predictions as training data. The computing device generates a prediction for a new data entry utilizing the regression machine learning model and the binary classification model.

Abstract: One example of a method comprises identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.

Abstract: The present disclosure is directed to lenses, devices, methods and/or systems for addressing refractive error. Certain embodiments are directed to changing or controlling the wavefront of the light entering a human eye. The lenses, devices, methods and/or systems can be used for correcting, addressing, mitigating or treating refractive errors and provide excellent vision at distances encompassing far to near without significant ghosting. The refractive error may for example arise from myopia, hyperopia, or presbyopia with or without astigmatism. Certain disclosed embodiments of lenses, devices and/or methods include embodiments that address foveal and/or peripheral vision. Exemplary of lenses in the fields of certain embodiments include contact lenses, corneal onlays, corneal inlays, and lenses for intraocular devices both anterior and posterior chamber, accommodating intraocular lenses, electro-active spectacle lenses and/or refractive surgery.

Abstract: A processor may receive an original dataset. The processor may segment, automatically, the original dataset into a plurality of data groups. The plurality of data groups may include a model training dataset and a holdout dataset. The processor may generate a model with the model training dataset. The processor may validate the model with the holdout dataset.

Abstract: The present disclosure is directed to a combustor assembly for a gas turbine engine. The combustor assembly includes a liner defining a combustion chamber therewithin and a pressure plenum surrounding the liner. The liner defines an opening and includes a walled chute disposed at least partially through the opening. A plurality of flow openings is defined through the walled chute.

Abstract: A lift system for a rotor blade of a wind turbine includes a lifting device having a structural frame body having a root end and a tip end. The root end supports a root cradle and the tip end supports a tip cradle. The root and tip cradles each have a profile that corresponds to at least one exterior surface of the rotor blade so as to receive and support at least a portion of the rotor blade. Due to a shape of the rotor blade, when the rotor blade is installed in the lifting device and lifted uptower, the rotor blade can experience an asymmetric loading. Accordingly, the lift system also includes a variable airflow assembly coupled to tip end of the lifting device. The variable airflow assembly includes at least one surface moveable between a plurality of positions having varying resistances so as to counteract the asymmetric loading.

Abstract: The present disclosure is directed generally to a lens that provides a stop signal to a myopic eye, over a substantial portion of the spectacle lens that the viewer is using. The present disclosure is directed to devices, methods and/or systems of imposing a stop signal to eye growth, using a spectacle lens in conjunction with a micro lenslet array. The present disclosure is also directed to devices, methods and/or systems of modifying incoming light through spectacle lenses that utilizes chromatic cues to decelerate the rate of myopia progression. The present disclosure is directed to devices, methods and/or systems of imposing a stop signal to eye growth, using a spectacle lens in conjunction with a refractive optical element and/or diffractive optical element that offer conflicting or contradictory optical signals at a wavelength between 510 nm and 610 nm.

Abstract: Embodiments provide systems, methods, and computer-readable storage media for automated and objective testing of applications or processes. Graphical representations of the application may be analyzed to derive attribute data and identify flows (e.g., possible processing paths that may be accessed during utilization of the application by a user). Test cases may be automatically generated based on the attribute data and the identified flows. Additionally, testing scripts for testing the portions of the application corresponding to each identified flow may be generated using machine learning logic. Once generated, the testing scripts may be executed against the application to test different portions of the application functionality (or processes). Execution of the testing scripts may be monitored to generate feedback used to train the machine learning logic. Reports may be generated based on the monitoring and provided to users to enable the users to resolve any errors encountered during the testing.

Abstract: A system includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to run a machine learning base model on input data to generate base model prediction data and run a machine learning error prediction model on the input data to generate error prediction data. The at least one processor is configured to execute the instructions to generate predicted correct base model prediction data based on the base model prediction data and the error prediction data. The at least one processor is configured to execute the instructions to generate confusion values data based on the base model prediction data and the predicted correct base model prediction data. The at least one processor is also configured to execute the instructions to generate base model accuracy fairness metrics data based on the confusion values data.