Abstract: An apparatus (and/or method) for training machine-learning model to make determinations from mismatched channel signals, wherein the apparatus includes a processor and memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a first set of signals using a first number of channels, process the first set of signals to simulate a second set of signals from a second number of channels, train a signal conversion model using the first set of signals and the second set of signals, and output a set of converted signals having the first number of channels using the third set of signals and the trained signal conversion model.

Abstract: Disclosed is a multi-language translation system and associated methods that adapt to users speaking different languages, and that convert each spoken language to a target language. The system trains a neural network using audio of different speakers speaking different languages, and generates vectors with different sets of audio features that identify each of the different languages. The system receives an audio stream, transcribes a first snippet from a first language to the target language based on a first vector classifying the first audio snippet features to the first language, transcribes a second audio snippet from a new language to the target language based on the first vector being unable to classify the second audio snippet features to the first language, and transcribes a third audio snippet from a second language to the target language based on a second vector classifying the third audio snippet to the second language.

Abstract: An apparatus and method for generating clinical decision support is disclosed. The apparatus includes at least a processor and a computer-readable storage medium communicatively connected to the at least a processor, wherein the computer-readable storage medium contains instructions configuring the at least processor to receive user data, generate a fused feature vector correlating the user data to a plurality of clinical outcomes by training a plurality of deep neural networks (DNNs) to output a first set of feature vectors, a second set of feature vectors and a third set of feature vectors, fusing the first, second, and third set of features vectors to form the fused feature vector, generate a procedural output using the fused feature vector, and display the procedural output through a user interface.

Abstract: An apparatus and method for generating a quality diagnostic of analog ECG (electrocardiogram) data. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive ECG data, extract a plurality of ECG parameters from the ECG data, convert the ECG data to one or more digitized ECG signals, validate the digitized ECG signals, wherein validating includes classifying the plurality of digitized ECG signals to a plurality of preliminary ECG parameters and determining an accuracy status of the extracted plurality of ECG parameters by comparing the plurality of preliminary ECG parameters to the extracted plurality of ECG parameters, and generate a quality diagnostic of the ECG data based on validation of the digitized ECG signals.

Abstract: An apparatus for standardization of electrocardiogram signal images, the apparatus having an imaging device, at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive an overlay image from the imaging device, identify a captured fixed background image and a captured primary image within the overlay image, wherein the captured primary image includes a plurality of electrocardiogram signals, compare the captured fixed background image to one or more image quality thresholds, determine an image quality score of the primary image as a function of the captured fixed background image, and output one or more image modification datum as a function of the image quality score.

Abstract: The present application discloses systems, methods, and computer-readable media that can dynamically control a number of provider devices operating in a prioritized-dispatch mode by determining a range of prioritized-dispatch-mode slots for a target time based on differences between value metrics received by provider devices operating in multiple dispatch modes and sending availability nudges to provider devices based on the range of prioritized-dispatch-mode slots. For instance, the disclosed systems can generate a threshold-noticeable-value difference between historical value metrics received by provider devices while operating in a prioritized-dispatch mode and in a basic-dispatch mode. Based on the threshold-noticeable-value difference, the disclosed systems determine a range of slots for the prioritized-dispatch mode during a target time period for a geographic area.

Abstract: The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.

Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.

Abstract: The present application discloses systems, methods, and computer-readable media that can dynamically control a number of provider devices operating in a prioritized-dispatch mode by determining a range of prioritized-dispatch-mode slots for a target time based on differences between value metrics received by provider devices operating in multiple dispatch modes and sending availability nudges to provider devices based on the range of prioritized-dispatch-mode slots. For instance, the disclosed systems can generate a threshold-noticeable-value difference between historical value metrics received by provider devices while operating in a prioritized-dispatch mode and in a basic-dispatch mode. Based on the threshold-noticeable-value difference, the disclosed systems determine a range of slots for the prioritized-dispatch mode during a target time period for a geographic area.

Abstract: An apparatus and method for unpaired time series to time series translation is disclosed. The apparatus comprises at least a processor configured to receive an automated analysis of a time series, convert that time series from its initial domain to a usable time series within another user-selected domain, then to validate the conversion against a confidence threshold.

Abstract: The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.

Abstract: The present disclosure provides electrolyte solutions for electrodeposition of zinc-iron alloys, methods of forming electrolyte solutions, and methods of electrodepositing zinc-iron alloys. An electrolyte solution for electroplating can include an alkali metal citrate, an alkali metal acetate, a citric acid, and glycine with a metal salt. An electrolyte solution can be formed by dissolving an alkali metal citrate, an alkali metal acetate, a citric acid, and glycine in water or an aqueous solution. Electrodepositing zinc-iron alloys on a substrate can include introducing a cathode and an anode into an electrolyte solution comprising an alkali metal citrate, an alkali metal acetate, a citric acid, and glycine. Electrodepositing can further include passing a current between the cathode and the anode through the electrolyte solution to deposit zinc and iron onto the cathode.

Abstract: Methods for treating cancer, and for reducing angiogenesis in a tissue, comprising administering one or more of a miR-371 oligonucleotide; a miR-146 oligonucleotide; or an inhibitor of MLK2/3 activity.

Abstract: The present disclosure provides a differential assembly100. The differential assembly100 includes a differential case102, a plurality of gears104, and an elastic element106. The plurality of gears104 is arranged inside the differential case 102. The elastic element106 is disposed between the differential case102 and the plurality of gears104. The elastic element106 further comprises an inner conferential surface204, an outer circumferential surface202, a plurality of mounting holes302, a plurality of apertures206, a plurality of discs208, and a plurality of lubrication arrangements. The plurality of lubrication arrangements provided at a circumferential direction of the inner204 and the outer circumferential surface202 of the elastic element106 for flowing a lubricant inside the differential case102, the plurality of discs208, and the plurality of gears104.

Abstract: Methods for treating cancer, and for reducing angiogenesis in a tissue, comprising administering one or more of a miR-371 oligonucleotide; a miR-146 oligonucleotide; or an inhibitor of MLK2/3 activity.

Abstract: Disclosed is a multi-language translation system and associated methods that adapt to users speaking different languages, and that convert each spoken language to a target language. The system trains a neural network using audio of different speakers speaking different languages, and generates vectors with different sets of audio features that identify each of the different languages. The system receives an audio stream, transcribes a first snippet from a first language to the target language based on a first vector classifying the first audio snippet features to the first language, transcribes a second audio snippet from a new language to the target language based on the first vector being unable to classify the second audio snippet features to the first language, and transcribes a third audio snippet from a second language to the target language based on a second vector classifying the third audio snippet to the second language.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating dynamic graphical user interfaces that provide intelligent multi-device selectable elements for a transportation matching system. In particular, in one or more embodiments, the disclosed systems compare features associated with multiple transportation requests and features associated with a provider device utilizing a multi-device selection model. In addition, the disclosed systems can intelligently surface a subset of transportation requests to graphical user interfaces of individual provider devices. For instance, the disclosed systems provide selectable elements within an interactive digital map so that provider devices can efficiently and accurately select transportation matches within a consolidated user interface.

Abstract: Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.

Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.

Abstract: The present disclosure provides electrolyte solutions for electrodeposition of zinc-manganese alloys, methods of forming electrolyte solutions, methods of electrodepositing zinc-manganese alloys, and multilayered zinc-manganese alloys. An electrolyte solution for electroplating can include a metal salt, boric acid, an alkali metal chloride, polyethylene glycol, and a hydroxy benzaldehyde. An electrolyte solution can be formed by dissolving a metal salt, boric acid, an alkali metal chloride, polyethylene glycol, and a hydroxy benzaldehyde in water or an aqueous solution. Electrodepositing zinc-manganese alloys on a substrate can include introducing a cathode and an anode into an electrolyte solution comprising a metal salt, boric acid, an alkali metal chloride, polyethylene glycol, and a hydroxy benzaldehyde. Electrodepositing can further include passing a current between the cathode and the anode through the electrolyte solution to deposit zinc and manganese onto the cathode.