Abstract: A scalable, real-time, label-free, electrode- or optical-based cell monitoring system for integration into a cell culture incubator is described herein. An example system includes (1) cell culture consumables with integrated electrodes and/or optics for growing and monitoring cells, (2) incubator trays for consumable organization and recording, and (3) a system console, external to the incubator, for connecting multiple incubator trays. Without perturbing the cell culture, the system is capable of monitoring multiple culture attributes for each cell culture consumable simultaneously. These attributes can include, but are not limited to, cell growth, proliferation, morphology, media pH, or media oxygen. The system can support multiple trays, which permits monitoring dozens to hundreds of consumables simultaneously, including a mixture of consumables of various sizes. In addition to monitoring adherent cells, the disclosed technology can be readily adapted for monitoring of cell suspensions.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing in-flight transformations of data streams. Complex event processing (CEP) operating on event records from various data streams can operate by storing the streamed event record data in a database, and then querying the data to perform a data transformation. However, in order to improve the performance of the data transformations and streamline CEP, a serverless architecture is introduced that can perform data transformations directly on streams, using attributes of the streamed record data defined in a schema. The resulting transformed data can then be provided by the serverless architecture to the CEP for direct access of the data most needed by the CEP.

Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.

Abstract: This disclosure provides a control method for multi-phase switching converter having a master phase and at least one slave phase. The control method comprises: providing a pulse signal with 0.5 duty cycle by frequency-dividing a master control signal supplied to the master phase; and for each slave phase to be enabled, setting a ratio of a charge current and a discharge current based on a slave phase number under a phase-added operation, charging a first capacitor with the charge current and discharging a second capacitor with the discharge current in high logic of the pulse signal, discharging the first capacitor with the discharge current and charging the second capacitor with the charge current in logic low of the pulse signal, and generating a respective enable signal for controlling a switch in a corresponding slave phase by comparing a first capacitor voltage with a second capacitor voltage.

Abstract: A computer-based system and process are disclosed for reconstructing the internal electrical behavior of a patient's heart based partly or wholly on the patient's electrocardiogram (ECG). The output of the process may include, for example, a cardiac activation map, and/or a representation of transmembrane potentials over time. The process advantageously does not require any medical imaging of the patient, and does not require any special medical equipment. For example, the patient's activation map and transmembrane potentials may be reconstructed based solely on a preexisting or newly-obtained 12-lead cardiac ECG of the patient. The process makes use of a machine learning model, such as a neural network based model, trained with actual and/or simulated ECGs and intracardiac electrical data (typically transmembrane potentials) of many thousands of patients.

Abstract: The present invention relates to a cell of the human immune system transduced or transfected with a T cell receptor (TCR) or chimeric antigen receptor (CAR), said cell being further modified to render its MALT1 protease activity constitutive active. The present invention further relates a said cell of the human immune system for use as a medicament. In particular, the present invention relates to said cell for use in adoptive T cell therapy. The invention also comprises a cell of the human immune system transduced or transfected with a T cell receptor (TCR) or chimeric antigen receptor (CAR), and further modified to render its MALT1 protease activity constitutive active for use in a method of treating cancer. The invention also relates to a method for generating a cell of the human immune system, comprising modifying a cell to render MALT1 protease activity constitutive active.

Abstract: A computer-based system and process are disclosed for reconstructing the internal electrical behavior of a patient's heart based partly or wholly on the patient's electrocardiogram (ECG). The output of the process may include, for example, a cardiac activation map, and/or a representation of transmembrane potentials over time. The process advantageously does not require any medical imaging of the patient, and does not require any special medical equipment. For example, the patient's activation map and transmembrane potentials may be reconstructed based solely on a preexisting or newly-obtained 12-lead cardiac ECG of the patient. The process makes use of a machine learning model, such as a neural network based model, trained with actual and/or simulated ECGs and intracardiac electrical data (typically transmembrane potentials) of many thousands of patients.

Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.

Abstract: This disclosure provides a control method for multi-phase switching converter having a master phase and at least one slave phase. The control method comprises: providing a pulse signal with 0.5 duty cycle by frequency-dividing a master control signal supplied to the master phase; and for each slave phase to be enabled, setting a ratio of a charge current and a discharge current based on a slave phase number under a phase-added operation, charging a first capacitor with the charge current and discharging a second capacitor with the discharge current in high logic of the pulse signal, discharging the first capacitor with the discharge current and charging the second capacitor with the charge current in logic low of the pulse signal, and generating a respective enable signal for controlling a switch in a corresponding slave phase by comparing a first capacitor voltage with a second capacitor voltage.

Abstract: A tire monitoring apparatus comprises a sensor housing having a connection part integrated with the sensor housing, the connection part having an elongated opening and a corresponding mounting feature in a wheel rim, wherein a screw extends through the elongated opening and connects with the corresponding mounting feature in the wheel rim, thereby when the screw is not tightened fully, the sensor housing can be rotated with respect to the corresponding mounting feature in the wheel rim, and when the screw is tightened fully, the sensor housing is secured in place and does not rotate with respect to the corresponding mounting feature in the wheel rim.

Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.

Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.

Abstract: A scalable, real-time, label-free, electrode- or optical-based cell monitoring system for integration into a cell culture incubator is described herein. An example system includes (1) cell culture consumables with integrated electrodes and/or optics for growing and monitoring cells, (2) incubator trays for consumable organization and recording, and (3) a system console, external to the incubator, for connecting multiple incubator trays. Without perturbing the cell culture, the system is capable of monitoring multiple culture attributes for each cell culture consumable simultaneously. These attributes can include, but are not limited to, cell growth, proliferation, morphology, media pH, or media oxygen. The system can support multiple trays, which permits monitoring dozens to hundreds of consumables simultaneously, including a mixture of consumables of various sizes. In addition to monitoring adherent cells, the disclosed technology can be readily adapted for monitoring of cell suspensions.

Abstract: A tire monitoring apparatus comprises a sensor housing having a connection part integrated with the sensor housing, the connection part having an elongated opening and a corresponding mounting feature in a wheel rim, wherein a screw extends through the elongated opening and connects with the corresponding mounting feature in the wheel rim, thereby when the screw is not tightened fully, the sensor housing can be rotated with respect to the corresponding mounting feature in the wheel rim, and when the screw is tightened fully, the sensor housing is secured in place and does not rotate with respect to the corresponding mounting feature in the wheel rim.

Abstract: Logical rules can be automatically generated for use with event detection systems according to some aspects of the present disclosure. For example, a computing device can extract a group of logical rules from trained decision trees and apply a test data set to the group of logical rules to determine count values corresponding to the logical rules. The computing device can then determine performance metric values based on the count values, select a subset of logical rules from among the group of logical rules based on the performance metric values, and provide at least one logical rule in the subset for use with an event detection system. The event detection system can be configured to detect an event in relation to a target data set that was not used to train the decision trees.

Abstract: A tire monitoring system with mounting features on a housing provide for positioning through a wide range of angles. Accordingly, the system can be positioned on a variety of wheel rim/valve combinations. The tire monitoring apparatus includes two opposed wings provided on the housing to facilitate the range of positioning angles at which the housing can be positioned with respect to a valve base. Each opposed wing has a same exterior surface radius of curvature and the wings are clamped between a base plate and a clamp plate at the desired angle.

Abstract: Logical rules can be automatically generated for use with event detection systems according to some aspects of the present disclosure. For example, a computing device can extract a group of logical rules from trained decision trees and apply a test data set to the group of logical rules to determine count values corresponding to the logical rules. The computing device can then determine performance metric values based on the count values, select a subset of logical rules from among the group of logical rules based on the performance metric values, and provide at least one logical rule in the subset for use with an event detection system. The event detection system can be configured to detect an event in relation to a target data set that was not used to train the decision trees.

Abstract: Systems and methods are disclosed herein for providing contextually relevant incentives in real-time to consumers. In one example, the method may include receiving, from a data repository, one or more raw data streams of real time data and determining an identity of the end user based on the one or more raw data streams. The method may further include filtering, using contextual filtering parameters, the received one or more raw data streams to produce filtered data. The method may also include applying a set of rules correlating the filtered data with incentive programs relevant to the filtered data to generate correlated data, and querying the data repository for historical data associated with the end user. The method may also include calculating a propensity score of the end user, and ranking the correlated data. The method may also include sending one or more incentives based on the correlated data ranking.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing in-flight transformations of data streams. Complex event processing (CEP) operating on event records from various data streams can operate by storing the streamed event record data in a database, and then querying the data to perform a data transformation. However, in order to improve the performance of the data transformations and streamline CEP, a serverless architecture is introduced that can perform data transformations directly on streams, using attributes of the streamed record data defined in a schema. The resulting transformed data can then be provided by the serverless architecture to the CEP for direct access of the data most needed by the CEP.

Abstract: A system with a rotatable drum and an exposure device configured to age and concentrate aerosol particles by simulating operational conditions. The system includes the rotatable drum; a port connected to the drum, an impactor with vacuum nozzles, the exposure device, and optionally an outlet port when the port is solely an inlet port. The port delivers the aerosol particles into the drum with the nozzles withdrawing air to increase the concentration of the particles. After aging and concentrating, evacuating the aerosol particles directly from the drum into at least one of an exposure chamber or a testing apparatus.