Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Disclosed herein is a method for generating a feline comfort level classification, the method comprising: receiving one or more images of a feline; generating a feline classification from the images with a feline classification model, wherein the feline classification corresponds to a feline type; selecting a face detection model from one or more face detection models, wherein the selected face detection model corresponds to the feline type; generating a positive facial indication for one or more of the images with the selected face detection model; selecting a comfort level classification model from one or more comfort level classification models, wherein the selected comfort level classification model corresponds to the feline type; and generating a feline comfort level classification from the images with the selected comfort level classification model.

Abstract: A system for electronic identification of one or more biomarkers associated with a pathology. The system includes a processor configured to receive an expression data and utilize a predefined degenerative model to generate a Transcription Factor (TF)-target interaction information based on the received expression data. The processor is configured to execute the predefined degenerative model to generate a Gene Regulatory Network (GRN) based on the TF-target interaction information and construct a hierarchical network defining hierarchical relationships among two or more nodes and one or more edges of the GRN. The processor is configured to prioritize a set of TFs and a set of targets using a Protein-Protein Interaction (PPI) network and construct a modified GRN. The system efficiently and reliably identifies the one or more biomarkers associated with the pathology by use of a combination of the GRN, the hierarchical network and the PPI network.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Systems and methods are disclosed for generating a prediction on chargeback representment based on probability data and/or results from a plurality of machine learning models. The method includes receiving data associated with at least one disputed transaction for at least one user, wherein the received data includes user-specific information and/or merchant-specific information. The received data is processed to calculate a probability of success in a chargeback representment for the at least one disputed transaction. A prediction is calculated based, at least in part, on the probability of success, one or more results from a plurality of machine learning models, or a combination thereof. A presentation is generated of at least one recommendation on the chargeback representment based, at least in part, on the prediction in a user interface of at least one device associated with the at least one user.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: A system for safely reverting merges across branches in version control systems where shared history cannot be rewritten is described. A computer-implemented method, comprising: identifying a first merge base at a trunk, the first merge base merging with a branch of the trunk; identifying, at the branch, a second merge base, subsequent to the first merge base, the second merge base merging with the trunk; forming a merge base patch branch from the branch at the second merge base, the merge base patch branch including a copy of the first merge base; merging the merge base patch branch with the trunk; and merging the merge base patch branch with the branch.

Abstract: A system for safely reverting merges across branches in version control systems where shared history cannot be rewritten is described. A computer-implemented method, comprising: identifying a first merge base at a trunk, the first merge base merging with a branch of the trunk; identifying, at the branch, a second merge base, subsequent to the first merge base, the second merge base merging with the trunk; forming a merge base patch branch from the branch at the second merge base, the merge base patch branch including a copy of the first merge base; merging the merge base patch branch with the trunk; and merging the merge base patch branch with the branch.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: A rule specifies a data change percent and a backup level to use corresponding to the data change percent. The backup level may be a full backup or a non-full backup. Before backing up a source for an impending backup, a percent of data change of the source from a last backup of the source to the impending backup is calculated. The rule is evaluated against the calculated percent change to select a backup level for the impending backup. Based on the evaluation, the full backup level or non-full backup level is selected and the source is backed up according to the selected backup level.

Abstract: A method for selecting members in a hierarchy includes determining a sequence of one or more actions associated with a member selection tree. The actions collectively selecting one or more members from a hierarchy of members. The hierarchy of members is associated with a particular dimension of an organization of data. The method further includes recording the sequence of actions in a member selection script. In addition, the method includes executing the member selection script to select one or more members after the hierarchy of members has been modified.

Abstract: An asymmetric sensor having asymmetric electrodes and/or being asymmetrically anchored provides enhanced sensitivity. In example embodiments, part of the electrode on a sensor is etched or removed resulting in enhanced mass-change sensitive resonant modes. In another example embodiment, a sensor is anchored asymmetrically, also resulting in enhanced mass-change sensitive resonant modes. By asymmetrically anchoring a piezoelectric portion of a sensor, resonant bending modes of the sensor can be measured electrically without external instrumentation. Modifying the electrode of a piezoelectric cantilever enables expression of mass-change sensitive resonant modes that normally do not lend themselves to electrical measurement.

Abstract: Cantilever Sensors made of piezoelectric material may be structured with various configurations of asymmetric anchors as well as asymmetric electrodes. Such asymmetry enables measurement of resonant properties of the cantilever that are otherwise unmeasurable electrically, resulting in significant advantages for ease of measurement. In addition the asymmetry enables expression of torsional and/or lateral modes that are otherwise absent, and these modes also exhibit excellent mass-change sensitivity. The asymmetries may enable resonant mode impedance-coupling.

Abstract: A change in impedance of a electromechanical resonating sensor is utilized to detect and/or measure a change in mass accumulated on the sensor. The impedance is monitored at a fixed frequency. The fixed frequency may be at or near the resonance frequency of the sensor. In various configurations, the sensor comprises a quartz crystal microbalance sensor or a piezoelectric cantilever sensor.

Abstract: An asymmetric sensor having asymmetric electrodes and/or being asymmetrically anchored provides enhanced sensitivity. In example embodiments, part of the electrode on a sensor is etched or removed resulting in enhanced mass-change sensitive resonant modes. In another example embodiment, a sensor is anchored asymmetrically, also resulting in enhanced mass-change sensitive resonant modes. By asymmetrically anchoring a piezoelectric portion of a sensor, resonant bending modes of the sensor can be measured electrically without external instrumentation. Modifying the electrode of a piezoelectric cantilever enables expression of mass-change sensitive resonant modes that normally do not lend themselves to electrical measurement.

Abstract: A change in impedance of a electromechanical resonating sensor is utilized to detect and/or measure a change in mass accumulated on the sensor. The impedance is monitored at a fixed frequency. The fixed frequency may be at or near the resonance frequency of the sensor. In various configurations, the sensor comprises a quartz crystal microbalance sensor or a piezoelectric cantilever sensor.

Abstract: A method for selecting members in a hierarchy includes determining a sequence of one or more actions associated with a member selection tree. The actions collectively selecting one or more members from a hierarchy of members. The hierarchy of members is associated with a particular dimension of an organization of data. The method further includes recording the sequence of actions in a member selection script. In addition, the method includes executing the member selection script to select one or more members after the hierarchy of members has been modified.