Abstract: Telephone numbers that are associated with robocalls or scam calls can be automatically identified by a telephone network operator. The identified telephone numbers may be blocked from placing phone calls on the telephone network.

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: A read-modify-write operation is performed, within a single cycle of a clock signal, by: decoding an address to select a word line of a memory; applying a word line signal at a first voltage level to the selected word line; reading a current data word from a data word location in the memory; reducing the word line signal from the first voltage level to the second voltage level; performing a mathematical modify operation internally within the memory on the current data word to generate a modified data word; increasing the word line signal from the second voltage level to the first voltage level; and writing the modified data word back to the location in the memory.

Abstract: A proxy revocation service provides a reliable service for performing revocation checks. The proxy revocation service queries public certificate authorities for the revocation status of a set of digital certificates and maintains a database of the revocation statuses. The proxy revocation service provides a singular endpoint that is Application Protocol Interface (API) accessible to web clients. Web clients communicate with the proxy revocation service through use of API message to perform revocation checks, rather than communicating with the public certificate authorities using an online certificate status protocol (OCSP). Use of the proxy revocation service provides both a reliable service for performing revocation checks as well as shifts the complexity away from the web clients.

Abstract: An illustrative method includes determining whether a virtual storage volume is successfully mounted to a mount path associated with a compute node, the mount path being marked as read-only, marking, if the determining includes determining that the virtual storage volume is successfully mounted to the mount path, the mount path as writable, and maintaining, if the determining includes determining that the virtual storage volume is unsuccessfully mounted to the mount path, the mount path as read-only.

Abstract: The invention relates cloud based IoT network monitoring and validation to enable optimal network selection and connectivity for IoT sensors. The present invention relates to a system to measure the signal quality directly from the network module of IoT sensors. It comprises of an application programming interface (API) 105, a Network detection dongle 103, communication network 110, server 115, network modules of network operators and IoT sensors 120, to be deployed or installed. The invention also relates to a method for determination of signal strength from network module of IoT sensors, wherein the API 105 is configured to run network detection software to determine and validate an optimal location for IoT sensor/device installation or deployment based on the highest signal strength.

Abstract: A control system for controlling a powertrain of an electric vehicle is disclosed. The powertrain comprises a traction motor and a battery for powering the traction motor. The control system is configured to detect a low state of charge of the battery and to operate the powertrain in a low state of charge mode when the low state of charge is detected. In the low state of charge mode, the control system adjusts at least one parameter of the powertrain, such as traction motor torque, powertrain cooling, accessory cooling and accessory power consumption, to reduce power drawn from the battery.

Abstract: Methods and systems for a storage environment are provided. One method includes identifying, by a processor, a plurality of block numbers of a fragmented address space for re-allocation, each block number associated with data stored by a file system in a storage device of a storage system; determining, by the processor, compressed data associated with a block number from among the plurality of block numbers; verifying, by the processor, that an indirect block of a hierarchical structure maintained by the file system references the block number associated with the compressed data; and copying, by the processor, the compressed data to a new block, without decompressing the data.

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: Apparatuses, methods, and systems for detecting changes in customer behavior are disclosed. One method includes detecting customer action data, receiving, by a marketing platform server, the customer action data over a period of time, determining, customer parameters including a mean, and a standard deviation of the customer action data, generating a normalization value when the standard deviation is detected to be less than a deviation threshold, calculating, by the marketing platform server, a value of deviation from expectation based at least on the mean, the normalization value, and a noise factor, calculating a current cumulative sum value of the customer action data based on a prior cumulative sum value and the value of the deviation from expectation, comparing the current cumulative sum value with a threshold, and generating an electronic communication for the merchant server when the current cumulative sum value satisfies a compared condition with the preselected threshold.

Abstract: Apparatuses, methods, and systems for detecting changes in customer behavior are disclosed. One method includes detecting customer action data, receiving the customer action data over a period of time, determining customer parameters including a mean, and a standard deviation of the customer action data, determining a modified noise factor based on the value of the customer action data, to make the change detection system more sensitive to certain values, calculating a value of deviation from expectation based at least on the mean, the standard deviation, and the modified noise factor, calculating a current cumulative sum value of the customer action data based on a prior cumulative sum value and the value of the deviation from expectation, comparing the current cumulative sum value with a preselected threshold, and generating an informative electronic communication when the current cumulative sum value satisfies a compared condition with the preselected threshold.

Abstract: Described herein are antibody constructs comprising a 4- 1BB binding domain and an anti-Folate Receptor a (FRa) antigen- binding domain, wherein the 4-1BB-binding domain and the FR? antigen-binding domain are linked directly or indirectly to a scaffold. The scaffold may be an Fc construct with modifications that reduce its ability to mediate effector function. The antibody constructs are used in the treatment of a subject having cancer.

Abstract: A semiconductor device includes: a semiconductor substrate; a drift zone of a first conductivity type in the semiconductor substrate; an array of interconnected gate trenches extending from a first surface of the semiconductor substrate into the drift zone; a plurality of semiconductor mesas delimited by the array of interconnected gate trenches; a plurality of needle-shaped field plate trenches extending from the first surface into the plurality of semiconductor mesas; in the plurality of semiconductor mesas, a source region of the first conductivity type and a body region of a second conductivity type separating the source region from the drift zone; and a current spreading region of the first conductivity type at the bottom of the gate trenches and having a higher average doping concentration than the drift zone. Methods of producing the semiconductor device are also described.

Abstract: In an embodiment, a method includes receiving information identifying an input bot for testing. The method also includes detecting a functionality performed by the input bot. The method also includes creating a plurality of inputs for simulation of the functionality of the input bot. The method also includes executing the input bot a plurality of times using a same sample of actions. The method also includes checking for consistency of at least one of behavior and output for the same sample of actions. The method also includes executing the input bot a plurality of times using different samples of actions. The method also includes generating an execution plan for the input bot. The method also includes automatically validating the input bot, where the validation results in an automated determination of whether the input bot is defective.

Abstract: Distributed storage systems are implemented with rule based rebalancing mechanisms. Methods includes steps for creating a set of rules for rebalancing data storage space in a storage node cluster, as well as steps for performing a rebalance operation across the storage node cluster using the set of rules. The distributed storage systems include one or more labels for storage pools and storage volumes.

Abstract: Disclosed is an example approach in which network and non-network features are used to train a predictive machine learning model that is implemented to predict financial crime and fraud. Graphical network features may be generated by applying financial entity risk vectors to a network model with representations of various types of networks. The network model may comprise transactional, non-social, and/or social networks, with edges corresponding to linkages that may be weighted according to various characteristics (such as frequency, amount, type, recency, etc.). The graphical network features may be fed to the predictive model to generate a likelihood and/or prediction with respect to a financial crime. A perceptible alert is generated on one or more computing devices if a financial crime is predicted or deemed sufficiently likely. The alert may identify a subset of the set of financial entities involved in the financial crime and present graphical representations of networks and linkages.

Abstract: The present invention is a composition comprising an aqueous dispersion of first and second polymer particles; and polymeric organic crosslinked microspheres; wherein, the weight-to-weight ratio of second polymer particles to first polymer particles is in the range of from 50:50 to 80:20; and wherein the weight-to-weight ratio of the microspheres to the first and second polymer particles is in the range of from 3:97 to 20:80. The composition of the present invention is useful semi-gloss or satin paint formulations with excellent mar resistance.

Abstract: A method of scheduling a Real Time (RT) task, includes: receiving a task; obtaining a yield time of the RT task based on one of an execution deadline of the RT task, an execution deadline of next RT task subsequent to the RT task, and a maximum execution time associated with an execution of the next RT task subsequent to the RT task; creating a bandwidth reservation task having a deadline; inserting the RT task along with the bandwidth reservation task into a RT wait queue based on the deadline of each of the RT task and the bandwidth reservation task in accordance with an Early Deadline First (EDF) criteria; and scheduling an unscheduled task based on an available-time of the RT wait queue in accordance with the EDF based scheduling.

Abstract: A multi-communication path selection and security system for a medical device includes a medical device and a computer. The medical device includes a processor, one or more communication interfaces, and a memory that stores configurable settings, medical device policies and profiles associated with a plurality of communication links. The processor establishes a location variable associated with the medical device and when the location variable exceeds a location proximity threshold, the processor alters one or more settings of the medical device based on the medical device policies. The processor establishes a source location variable associated with the computer or an incoming message from the computer, and when the source location variable exceeds a source proximity threshold, the processor alters the incoming message or the settings of the medical device based on the medical device policies.

Abstract: A brake controller has a control dial with a series of full color LEDs arranged around the dial. The dial with its LEDs is in a module mounted on the dash of the towing vehicle and connected by a cable to a main module mounted out of sight. The dial is a rotary encoder pushbutton mounted on the same circuit board as the LED chips. Status information is output using the LEDs primarily based on color. Substantially all setting input is provided solely by user manipulation of the dial, pushing the dial in to change setting input mode, with the value of the input reflected in the number of LEDs being lit in a color corresponding to the brake controller setting being changed, as the user rotates the dial either clockwise or counterclockwise to change setting values.