Abstract: Systems and methods for enabling real-time graph machine learning models using bitwise transaction graph frameworks are disclosed. According to one embodiment, a method may include: (1) receiving, by a bitwise transaction graph computer program, a plurality of historical transactions, wherein each historical transaction comprises a customer identifier for a customer, a card number or card reference number, a merchant identifier for a merchant, a transaction authorization time, a transaction risk score, and a set of real-time fraud risk attributes; (2) converting, by the bitwise transaction graph computer program, the historical transactions to a fixed length data structure; and (3) loading, by the bitwise transaction graph computer program, the fixed length data structure onto edges of a transaction graph, wherein each vertex of the transaction graph represents one of the customers or one of the merchants.

Abstract: Systems and methods for rule optimization are disclosed. In accordance with aspects, a method may include providing a segment rule, where the segment rule uses a machine learning model score associated with a data record and a scaler value to evaluate data records and the segment rule is configured to evaluate data records categorized into a corresponding segment of the segment rule by attributes of the data records; receiving, at the segment rule, a categorized set of data records, wherein each data record in the categorized set of data records is categorized in the corresponding segment of the segment rule based on attributes of the data records; iteratively evaluating, by the segment rule, each received data record with a range of scaler values, where the iteratively evaluating produces a plurality of outputs of the segment rule; and determining an optimal output from the plurality of outputs.

Abstract: Systems and methods for frequent machine learning model retraining and rule optimization are disclosed. In accordance with aspects, a method may include generating a challenger machine learning model based on a production machine learning model; training the challenger machine learning model on a plurality of datasets; scoring historical data with the challenger machine learning model, wherein the scoring produces a respective score for each record of a plurality of records in the historical data; determining that the challenger model performs within predetermined thresholds based on the scoring; selecting an optimal scaler value for a rule based on execution of the rule with a range of scaler values applied to the respective score for each record of the plurality of records evaluated by the rule; determining that the optimal scaler value outperforms a production scaler value; and promoting the challenger model and the optimal scaler value to a production environment.

Abstract: Systems and methods for frequent machine learning model retraining and rule optimization are disclosed. In accordance with aspects, a method may include retrieving, from a data store, a plurality of datasets; generating a challenger machine learning model, wherein the challenger machine learning model is generated from a production machine learning model, and includes variables and variable weights included in the production machine learning model; training the challenger machine learning model with the plurality of datasets; adjusting the variable weights of the challenger machine learning model based on patterns in the plurality of datasets determined by the challenger machine learning model; performing a comparative analysis between the challenger model and the production model; and promoting the challenger model to a production environment based on the comparative analysis.

Abstract: Disclosed in the present invention is an enzyme-free glucose detection chip for detecting blood sugar level of a blood in a neutral environment, including: a substrate; a detection portion, disposed on an end surface of the substrate; a plurality of protrusions, disposed at the detection portion; a conductive layer, disposed on a surface of the substrate having the protrusions; and a plurality of gold nanoparticles, dispersed on surfaces of the protrusions, wherein the characterized in that the conductive layer is made by mixing gold and platinum and the ratio (mol/v) of platinum to gold is 1:2 to 4:1.

Abstract: An electrochemical extended-gate transistor (EET) system is provided, the system includes: a field effect transistor (FET), having a gate, a source, and a drain; a potentiostat, having a working electrode, a counter electrode, and a reference electrode; wherein the working electrode is coupled with a detection region, and the counter electrode is coupled with the gate; wherein the detection region, the gate, and the reference electrode are arranged in an ion fluid; wherein the potentiostat is configured to generate redox in the ion fluid by an electrochemical method to detect the target. A method for detecting targets are used to such system.

Abstract: The method for producing a transparent conductive substrate includes forming metal meshes on a flexible non-conductive substrate with high transmittance. It's unnecessary to use palladium as a catalyst in this method. The metal meshes are in the form of nano/micro wires and the conductive substrate has high transmittance of 80%-90% at visible light wavelengths of 390-750 nm.

Abstract: A communications apparatus in a communications system includes a processor and a power scheme controller. The processor determines a predetermined adjustment offset for a zone according to a frame structure of the communications system. The power scheme controller is coupled to the processor, obtains information regarding the predetermined adjustment offset for the zone, determines a predetermined scaling factor for the zone, and determines a target frequency or a target voltage for the processor to operate in according to the predetermined adjustment offset and the predetermined scaling factor.

Abstract: The method for producing a transparent conductive substrate includes forming metal meshes on a flexible non-conductive substrate with high transmittance. It's unnecessary to use palladium as a catalyst in this method. The metal meshes are in the form of nano/micro wires and the conductive substrate has high transmittance of 80%-90% at visible light wavelengths of 390-750 nm.

Abstract: A device for collecting a blood sample is provided. The device includes a collection unit, at least one capillary tube, a vacuum connector, and a storage unit. The collection unit has a top window for receiving the blood sample, a top surface, and a channel communicated with the top window. The at least one capillary tube is disposed in the collection unit and has a top end adjacent to the top window of the collection unit. The vacuum connector extends from the collection unit and communicates with the channel to provide a negative pressure by removing air in the channel. The storage unit is disposed under the collection unit for storing the blood sample.

Abstract: An electronic device with protected corners includes a main device body and a plurality of composite corner-pad structures. The main device body having an operation surface and an opposite back surface further includes a plurality of lateral sides, and two adjacent lateral sides are connected via a corner portion so as to make the main device body having a plurality of corner portions. Each the corner portion has a first corner-portion surface on the operation surface and a second corner-portion surface on the back surface. The plurality of composite corner-pad structures are individually and detachably mounted fixedly on the corresponding corner portions. Each of composite corner-pad structures includes a first corner pad and a second corner pad. The first corner pad covers at least part of the first corner-portion surface, and the second corner pad assembled to the first corner pad covers at least part of the second corner-portion surface.

Abstract: A device for collecting a blood sample is provided. The device includes a collection unit, at least one capillary tube, a vacuum connector, and a storage unit. The collection unit has a top window for receiving the blood sample, a top surface, and a channel communicated with the top window. The at least one capillary tube is disposed in the collection unit and has a top end adjacent to the top window of the collection unit. The vacuum connector extends from the collection unit and communicates with the channel to provide a negative pressure by removing air in the channel. The storage unit is disposed under the collection unit for storing the blood sample.

Abstract: A calculating method of calculating multiple input data is disclosed. The calculating method includes the steps of dividing the input data into training data and testing data, inputting the training data into multiple mathematical models to perform calculation so as to obtain calculating results, comparing the calculating results with the testing data to obtain similarities and repeatedly adjusting parameter combinations of the mathematical models according to the similarities, and selecting one of the mathematical models according to the similarities and the parameter combinations.

Abstract: An electrochemical extended-gate transistor (EET) system is provided, the system includes: a field effect transistor (FET), having a gate, a source, and a drain; a potentiostat, having a working electrode, a counter electrode, and a reference electrode; wherein the working electrode is coupled with a detection region, and the counter electrode is coupled with the gate; wherein the detection region, the gate, and the reference electrode are arranged in an ion fluid; wherein the potentiostat is configured to generate redox in the ion fluid by an electrochemical method to detect the target. A method for detecting targets are used to such system.

Abstract: The present invention provides a zero-bias capacitive micromachined ultrasonic transducer element, comprising: a substrate having a lower electrode formed therein; a membrane structure that structurally supports an upper electrode over the lower electrode, wherein the upper electrode has at least one protruding part thereunder; a cavity between the substrate and the membrane structure; and a polymeric material coated on an inner surface of the cavity. The fabrication method of the zero-bias capacitive micromachined ultrasonic transducer element is also provided.