Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction data associated a first set of transaction accounts in a first time period and generating a synthetic control group including a subset of transaction accounts. The method also includes determining, for each transaction account of the synthetic control group, a propensity score representative of a likelihood of said transaction account being associated with a test group, and a predictive spending score for a second time period. The method further includes balancing the synthetic control group and altering at least one operational parameter of a computer-implemented advertisement program to be executed in a second time period based on the transaction data and the synthetic control group. The method further includes executing the computer-implemented advertisement program in the second time period based on the at least one operational parameter that was altered.

Abstract: A method may include receiving static input data comprising a plurality of heath states for individuals over a period of time with respect to respective locations, receiving event scenario data comprising expected paths for weather events, and generating a quantum health state model based on the static input data and the event scenario data. The quantum health state model may evaluate each health state with respect to the individuals at the respective locations and the weather events in superposition. The method may receive dynamic input data associated with the individuals and a plurality of sensors acquired after the first dataset. The method may determine that an individual of the plurality of individuals is associated with a health data value that is greater than a threshold based on the quantum health state model and the dynamic input data and automatically transmit notifications indicative of the expected location to devices.

Abstract: Systems and methods related to an online security center are provided. For example, one or more processors may determine a distance between electronic devices associated with a user and a login attempt. When a threshold distance is exceeded, an alert may be provided to the electronic device associated with the user.

Abstract: A method comprises a token requestor computer transmitting a first authorization request message comprising a token and first cryptogram for authorization of an interaction to a server computer. The token requestor computer receives a first authorization response message comprising a response code from the server computer, then generates a cryptogram request message comprising the token or a token identifier and the response code. The token requestor computer transmits the cryptogram request message to a token provider computer, which generates a second cryptogram. The token requestor computer receives the second cryptogram and credential and generates a second authorization request message comprising the second cryptogram and the credential. The token requestor computer transmits the second authorization request message to the server computer. A second authorization response message is received from the server computer in response to the second authorization request message.

Abstract: A method of optimizing a design of a wellbore drilling operation based on at least one set of offset well data. A drilling path record for each offset well comprises a set of drilling parameters separated into depth segments. An optimization process determines a drilling dysfunction for each set of drilling parameter by comparing the drilling parameter to a maximum value. The optimization process determines the maximum rate of penetration for each depth segment by comparing the sets of drilling parameters without a drilling dysfunction. The optimization process generates an optimum drilling roadmap in response to determining the drilling parameters for the maxim um rate of penetration for each depth segment. A drilling operation can drill a wellbore via the optimum drilling roadmap.

Abstract: A method for conducting an automated dialogue between an inbound automated voice resource (IAVR) and an outbound automated voice resource (OAVR) during a voice communication session. The IAVR receives an initiation of the session from the OAVR and transmits a speech communication to the OAVR during the session, wherein a digital watermark is embedded in the speech communication. The OAVR identifies the digital watermark in response to analyzing the speech communication and converts an OAVR communication language from speech to machine language in response to determining that the IAVR interprets machine language based on the digital watermark. The OAVR transmits a machine language communication to the IAVR, whereby the IAVR converts an IAVR communication language from speech to machine language in response to determining that the OAVR interprets machine language based on the machine language communication. The automated dialogue is completed between the IAVR and the OAVR using machine language.

Abstract: Various embodiments described herein provide systems and methods for identifying potentially erroneous transactions. A hardware processing device may receive user data indicative of historical actions taken by a user relative to transactions, automatically process the user data to generate a plurality of rules, and automatically apply the rules to a transaction to determine that the transaction is likely to be erroneous. An output device may output a notification to the user to indicate that the transaction is likely to be erroneous. The transaction may have a plurality of attributes, each of which falls within one of a plurality of categories. Automatically processing the user data may include analyzing historical actions of the user relative to historical transactions that also have the attributes. Automatically applying the rules to the transaction may include comparing the attributes of the transaction with the rules.

Abstract: A method can be used to determine multi-phase measurements of fluid flowing with respect to a wellbore. Signals can be received, and the signals can be emitted by each variable frequency acoustic emitter of a set of variable frequency acoustic emitters positioned spaced apart in a sensing transducer that is in an interior of a wellbore. The received signals can be converted into a flow rate of each of a set of different fluid phases of a fluid in the wellbore. The multi-phase measurements of the fluid can be determined using the converted flow rate.

Abstract: Technology for determining a queue position of a call from a user can include receiving, at an enterprise, the call from a user device associated with the user. The user device includes an application associated with the enterprise. The call is placed into an on-hold queue. A weighted level of importance associated with the call is determined based on call history information associated with the user device and call frequency associated with the user. The weighted level of importance is compared to at least one weight threshold. A wait time for the call is decreased based on the weighted level of importance meeting or exceeding the at least one weight threshold.

Abstract: At least some embodiments are directed to a dynamic card. The dynamic card transmits a first temporary card identification number to a computing device. The dynamic card is without an internal power source and is powered up by an external power source housed within the computing device. The dynamic card determines an absence of unused encrypted card identification numbers and receives a set of encrypted card identification numbers from a server. The dynamic card decrypts a second temporary card identification number from the encrypted card identification numbers and shows the second temporary card identification number on a display, replacing the first temporary card identification number. The second temporary card identification number remains shown on the display after the power from the external power source is discontinued. The second temporary card identification number can be used in a subsequent interaction with another computing device.

Abstract: Disclosed embodiments include systems and methods for providing maintenance to a pump of a pumping unit in situ within a red zone of a pressurized wellbore services system. Ballistic barriers may be disposed between the pumping unit and the pressurized wellbore services manifold, and the pump may be remotely isolated from fluid communication with the wellbore services manifold and depressurized. Additionally, a secondary barrier, for example on a shielded work platform, may further protect workers, allowing for safe and efficient maintenance of the pump.

Abstract: Embodiments described herein disclose methods and systems for authorizing transactions received from client applications. The transaction request can include a first access token. After validating the first access token, the system can determine whether additional authentication is needed to authorize the transaction. If additional authentication is needed, the system can determine the authentication requirements. Once the additional authentication is received and verified, the system can generate a second access token and authorize the transaction by releasing the first access token.

Abstract: A tank car recovery system utilizes a lifting bar that attaches at two points to the tank car by lifting points. The lifting bar is raised by hoists attached at either side. Rigging is connected to the hoists and the lifting bar. Rigging is also used to attach the lifting bar to the tank car. The hoists are operated separately to adjust the position or rate of movement of each side of the tank car.

Abstract: The present dental prosthesis has a palatal implant configured to be implanted subperiosteally and attached to the palatal process by a plurality of fixation screws. The implant has a spine retaining implant magnetic components therealong and having holes for the fixation screws. The prosthesis also has a maxilla denture having a palatal base plate and an alveolar ridge engaging periphery having false teeth installed thereon. The denture is configured to be placed in a mouth to engage a maxilla wherein the alveolar ridge engaging periphery engages an alveolar ridge of the maxilla. The denture comprises a plurality of denture magnetic components configured to align with the implant magnetic components so that the denture is magnetically retained in the mouth by magnetic attraction force between the implant magnetic components and the denture magnetic components.

Abstract: One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's breathing, including monitoring of tidal volume, chest expansion distance, breathing rate, etc. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

Abstract: The systems and methods for improved precision in detecting false-positive changepoints in time-series data. The system may receive a first dataset of time-series datapoints. The system may determine a first changepoint in the first dataset. The system may determine a first category of known values for the first dataset. The system may, based on the first category of the known values, select a first model from a plurality of models for determining whether the first changepoint corresponds to a first false-positive changepoint. The system may, in response to selecting the first model, process, using the first model, the first changepoint and a first value of the known values to determine a first output. The system may generate for display, in a user interface, a first recommendation based on the first output, wherein the first recommendation indicates whether the first changepoint corresponds to the first false-positive changepoint.

Abstract: The present invention relates to new improved peptide or dimeric peptides exhibiting beta- galactosidase enzyme activity as well as improved methods for reducing the lactose content in compositions, such as dairy products.

Abstract: A directory server is programmed to receive, from an access device, a first authentication request message comprising a credential or a token, and transmit, to an access control server, the first authentication request message. The access control server is programmed to transmit a one-time password to a user device. The directory server is further programmed to receive, from the access device, a second authentication request message with the credential or the token, and the one-time password, and transmit, to the access control server, the second authentication request message. The access control server is further programmed to validate the one-time password and generate an authentication response message including an authentication indicator in response to validating the one-time password. The directory server is further programmed to receive, from the access control server, the authentication response message including the authentication indicator and transmit the same to the access device.

Abstract: Methods and systems are described herein for facilitating dynamic selection of training routines for training machine learning models based on data shift severity. The system may detect, in a production dataset, a data shift from a training dataset used to train a machine learning model. The system may provide the production dataset to an adversarial network to cause the adversarial network to generate synthetic data based on the production dataset. The system may determine that a magnitude of the data shift satisfies a first threshold and does not satisfy a second threshold and, in response, may perform a first training routine. The first training routine may involve training a second machine learning model using the training dataset, the production dataset, and the synthetic data. The system may then replace the first machine learning model with the second machine learning model in a production environment.