Abstract: According to a first aspect there is disclosed an assembly comprising a power device and a cooling plate which overlies the power device for heat transfer therebetween. The power device comprises a plurality of power switching components including at least a first power switching component and a second power switching component; wherein each of the power switching components is configured to dissipate heat to the cooling plate.

Abstract: Described herein are systems and methods of for conducting various biological assays on arrays utilizing electrowetting on dielectric (EWOD). The systems and methods may process the biological sample, or plurality thereof, using at least one droplet. The droplet, or plurality thereof, may be manipulated using the systems and methods described herein. Further described herein are improvements to arrays for facilitating the execution of biological assays on the arrays.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: There is provided a polymer or derivative thereof comprising a plurality of active amine groups in the backbone, wherein the polymer is a reaction product of a reaction between one or more bis-carbonates and one or more amine compounds having at least two terminal amino groups. Also provided are use of the polymer or derivative thereof and a method of preparing the polymer or derivative thereof.

Abstract: Compositions, kits and methods for detecting a plurality of targets are provided herein. A probe-set composition is provided, including one or more first probes and one or more second probes. Each of the first probe includes a nucleic acid sequence complementary to a nucleic acid barcode of a corresponding target-specific binding partner, a first label, and a cleavage site for a first cleavage agent, wherein the first cleavage agent is capable of releasing the first label. Each of the second probes includes a nucleic acid sequence complementary to a nucleic acid barcode of a corresponding target-specific binding partner, a second label, a quench moiety that renders the second label undetectable, and a cleavage site for the first cleavage agent. The first cleavage agent is capable of releasing the quench moiety, whereby the second label is rendered detectable.

Abstract: Described are conjugates of nucleic acid nanotubes and cells by linking the nanotubes to a cell surface moiety. Devices, kits, systems, and methods comprising the nanotube cell conjugates are also described.

Abstract: Systems and methods detect a potential hacking attack by monitoring the number and timing of DELBA (Delete Block Acknowledgement) action frames. When the number and timing of the DELBA action frames correspond to an unauthorized access pattern, an unauthorized access is detected. The potential unauthorized access may be detected by an access point (AP) or by the AP and a backend system. When a potential unauthorized access is detected, the AP may remain in silent mode for a longer period of time and limit access to the network to only trusted devices. In addition, an alarm or other notification of the potential unauthorized access may be provided to a user or other designated contact.

Abstract: Compositions, kits and methods for detecting a plurality of targets are provided herein. A probe-set composition is provided, including one or more first probes and one or more second probes. Each of the first probe includes a nucleic acid sequence complementary to a nucleic acid barcode of a corresponding target-specific binding partner, a first label, and a cleavage site for a first cleavage agent, wherein the first cleavage agent is capable of releasing the first label. Each of the second probes includes a nucleic acid sequence complementary to a nucleic acid barcode of a corresponding target-specific binding partner, a second label, a quench moiety that renders the second label undetectable, and a cleavage site for the first cleavage agent. The first cleavage agent is capable of releasing the quench moiety, whereby the second label is rendered detectable.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: One or more computing devices, systems, and/or methods are provided. First event information associated with a plurality of events may be determined, wherein the plurality of events is associated with a first entity. A set of event metrics associated with the first entity may be determined based upon the first event information. A first combined metric may be determined based upon at least two metrics of the set of event metrics. Whether the first entity is fraudulent may be determined based upon the first combined metric and a threshold metric associated with anomalous behavior.

Abstract: A method and apparatus for pre-processing a photoplethysmogram (PPG) signal include receiving, by an apparatus, the PPG signal including a plurality of pulses, obtaining, by the apparatus, a smoothed PPG signal based on smoothing the PPG signal using a moving average filter, obtaining, by the apparatus, a drift removed PPG signal based on removing drift from the smoothed PPG signal using a fitted polynomial function, and obtaining, by the apparatus, a rectified PPG signal based on correcting a motion artifact of the drift removed PPG signal by replacing each of the plurality of pulses using a combination of a global signal pulse and a corresponding local signal pulse.

Abstract: The present disclosure relates to a method and system for processing a photoplethysmogram (PPG) signal to improve accuracy of measurement of physiological parameters of a subject. The method may include removing a baseline drift from the PPG signal; obtaining a drift removed signal; filtering the drift removed signal; obtaining a filtered signal; performing motion artifact correction on the filtered signal; and obtaining a corrected signal.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: According to a first aspect there is disclosed an assembly comprising a power device and a cooling plate which overlies the power device for heat transfer therebetween. The power device comprises a plurality of power switching components including at least a first power switching component and a second power switching component; wherein each of the power switching components is configured to dissipate heat to the cooling plate.

Abstract: A multilevel clustered data set for multidimensional vectors is created by defining a plurality of clusters based on each of the signed dimensions of the vectors, each dimension functioning as an axis. Vectors are assigned to each cluster by measuring cosine similarity between a vector and each axis. Sub-clusters are defined as ranges of cosine similarity values within a cluster, and each vector is assigned into the appropriate range based on their cosine similarity value with the axis of the cluster. Searching for a matching vector to a new vector is efficiently achieved in near-constant time by measuring cosine similarity for the new vector with each axis to identify the closest cluster, reusing the cosine similarity of the new vector and axis to determine which sub-cluster corresponds to the appropriate range of values, and then comparing each vector within the sub-cluster until a match is found or ruled out.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. First representations associated with the first entities and second representations associated with the second entities may be generated based upon the first network profile. Clusters in the first representations and/or the second representations may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the clusters.

Abstract: In various embodiments, a grid-based design application automatically generates a design for a structural system of a building. In operation, the grid-based design application generates a structural grid based on a region within a computer-aided design of the building. Subsequently, the grid-based design application applies the structural grid to the region to generate a gridded region. The grid-based design application computes a set of spanning directions based on the gridded region. The grid-based design application then generates at least a portion of the design for the structural system based on the set of spanning directions and the gridded region.

Abstract: Systems and methods detect a potential hacking attack by monitoring the number and timing of DELBA (Delete Block Acknowledgement) action frames. When the number and timing of the DELBA action frames correspond to an unauthorized access pattern, an unauthorized access is detected. The potential unauthorized access may be detected by an access point (AP) or by the AP and a backend system. When a potential unauthorized access is detected, the AP may remain in silent mode for a longer period of time and limit access to the network to only trusted devices. In addition, an alarm or other notification of the potential unauthorized access may be provided to a user or other designated contact.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. First representations associated with the first entities and second representations associated with the second entities may be generated based upon the first network profile. Clusters in the first representations and/or the second representations may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the clusters.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.