Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (ELDR) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Abstract: In a computer-implemented method of pre-empting fraud disputes caused by billing aliases or unrecognized merchant billing names, an indication that a credit card financial transaction is unrecognizable by the card owner may be received. A billing alias for a merchant associated with the unrecognizable transaction may be determined, where the billing alias is named on a credit card statement as billing merchant. A brick and mortar name that the merchant associated with the billing alias is doing business as may be determined, and an electronic notification indicating the brick and mortar name of the merchant may be generated. The electronic notification may be transmitted to a mobile device of the card owner over a wireless communication channel for card owner review or approval to facilitate preventing financial disputes caused by unrecognized or unfamiliar billing aliases on credit card or other financial statements.

Abstract: The present disclosure relates generally to eukaryotic initiation factor 2B modulators, or a pharmaceutically acceptable salt, stereoisomer, mixture of stereoisomers or prodrug thereof, and methods of making and using thereof.

Abstract: A method of identifying a merchant computer terminal warranting a chargeback includes identifying a merchant computer terminal associated with a fraudulent financial transaction, and receiving information associated with the merchant computer terminal. The information may include an actual configuration, parameters, and/or specifications associated with the merchant computer terminal. The method also includes receiving up-to-date dispute rules associated with chargebacks, and analyzing the dispute rules to determine merchant computer terminal requirements. The method further includes comparing the terminal requirements with the information associated with the merchant computer terminal to identify whether the merchant computer terminal is compliant with the dispute rules.

Abstract: The present disclosure relates generally to eukaryotic initiation factor 2B modulators of formula A, or a pharmaceutically acceptable salt, stereoisomer, or mixture of stereoisomers thereof and methods of making and using thereof.

Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.

Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.

Abstract: A clutch assembly comprises an input shaft and an output shaft, co-axially arranged relative to the input shaft. The clutch assembly further comprises an input clutch drum, fixed to the input shaft, and an output clutch drum, translatable relative to the output shaft. The clutch assembly further comprises a clutch pack and a clutch piston that is translatable relative to the output shaft between, inclusively, a frictionally disengaged clutch-pack position and a frictionally engaged clutch-pack position. The clutch assembly additionally comprises a clutch-pack engagement spring. The output clutch drum is translatable between, inclusively, a fully disengaged position and, inclusively, a positively engaged position. When the clutch piston is in the frictionally disengaged clutch-pack position, the internal splines of the output clutch drum are not in mesh with the external splines of the input clutch drum.

Abstract: Systems and methods are provided for interpreting traffic information. In one embodiment, a method includes: receiving, by a processor, visual data from a plurality of vehicles, wherein the visual data is associated with an intersection of a roadway having one or more lanes; receiving, by the processor, vehicle data from the plurality of vehicles, wherein the vehicle data is associated with the intersection of the roadway; determining, by the processor, a first state of a traffic light associated with the intersection based on the visual data; determining, by the processor, a second state of the traffic light associated with the intersection based on the vehicle data; correlating, by the processor, the first state and the second state based on a time synchronization; assigning, by the processor, the traffic light to a lane of the roadway based on the correlating; and communicating, by the processor, the traffic light to lane assignment for use in controlling a vehicle of the multiple vehicles.

Abstract: In a method of preventing fraudulent online financial transactions, a request to authorize an online, financial transaction may be received, where the transaction is associated with a debit or credit card account. A computing device at which information associated with the debit or credit card account was entered for the transaction may be identified, and a first geographic location at which the computing device resides may be determined. Based upon geolocation data indicating one or more geographic locations of the authorized cardholder, it may be determined that the authorized cardholder was at a second geographic location at a time of the transaction. If the second geographic location does not correspond to the first geographic location, the financial transaction may be prevented from being executed.

Abstract: A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller.

Abstract: An automotive vehicle includes a sensor configured to detect features external to the vehicle, an HMI configured to signal an alert to an operator of the vehicle, and a controller. The controller is in communication with the sensor and the HMI, and is in communication with a non-transient computer-readable storage medium provided with a road furniture database. The road furniture database includes a plurality of items of road furniture having associated road furniture geolocations and road furniture classifications. The controller is configured to, in response to the vehicle being proximate a respective road furniture geolocation for a respective item of road furniture and the sensor not detecting the respective item of road furniture, control the HMI to signal an alert.

Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.

Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.

Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.

Abstract: The present disclosure relates generally to eukaryotic initiation factor 2B modulators, or a pharmaceutically acceptable salt, stereoisomer, mixture of stereoisomers, or prodrug thereof, and methods of making and using thereof.

Abstract: According to various embodiments, techniques for anticipatory cyber defense are disclosed. The techniques includes receiving cyber incident reports, extracting keywords from the reports, applying a shallow machine learning technique to obtain an identification of a first subset of the networked assets vulnerable to at least a first threat scenario and an identification of the first threat scenario, applying a deep machine learning technique to at least the first subset, the first threat scenario, the keywords, and the plurality of networked assets, to obtain a second subset of the networked assets vulnerable to at least a second threat scenario and the second threat scenario, simulating the networked assets and the second threat scenario to identify at least one path through the networked assets vulnerable to at least a third threat scenario, and outputting an identification of the at least one path and an identification of the third threat scenario.

Abstract: A hydraulic clutch system that enables automatic emergency braking (AEB) and remote start of a manual transmission vehicle. The hydraulic clutch system includes a piston-operated hydraulic cylinder or other accumulator to store a charge of hydraulic fluid that can be selectively routed to the clutch and discharged under electronic control to thereby disengage the clutch independently of any operator input via the clutch pedal. By doing so, the system can provide an improved AEB response that slows or stops the vehicle without stalling the engine. The system may also be used to provide remote start capability to the vehicle by automatically disengaging the clutch as part of a remote start sequence of operations.

Abstract: A building energy management includes building equipment, one or more data platform services, a timeseries database, and an energy management application. The building equipment operate to monitor and control a variable and provide raw data samples of a data point associated with the variable. The timeseries database stores a plurality of timeseries associated with the data point. The plurality of timeseries include a timeseries of the raw data samples and the one or more optimized data timeseries generated by the data platform services based on the raw data timeseries. The energy management application generates an ad hoc dashboard including a widget and associates the widget with the data point. The widget displays a graphical visualization of the plurality of timeseries associated with the data point and includes interactive user interface options for switching between the plurality of timeseries associated with the data point.

Abstract: A label as shown and described herein. The label may include a label substrate, an adhesive adjacent the substrate, and a liner adjacent the adhesive, such that the adhesive is disposed between the label substrate and the liner, and wherein the label substrate is embossed or debossed, and the liner is not embossed or debossed.