Abstract: A system includes a reference field effect transistor (FET), wherein the reference FET is a depletion mode transistor, and a bias control circuit. The bias control circuit includes a voltage sensor connected to a drain terminal of the reference FET. The voltage sensor is configured to measure a voltage at the drain terminal of the reference FET as a measured voltage, determine a voltage difference between a reference voltage and the measured voltage, and output the voltage difference at a voltage sensor output terminal. The system includes a translation circuit connected the voltage sensor output terminal. The translation circuit is configured to convert the voltage difference into a negative gate bias voltage, and apply the negative gate bias voltage to a gate terminal of the reference FET.

Abstract: Embodiments of the present disclosure relate to user interfaces and systems that may enable dynamic and interactive access of, investigation of, and analysis of data objects stored in one or more databases. The data objects may be accessed from the one or more databases, and presented in multiple related portions of a display. In particular, the system provides a time-based visualization of data objects (and/or properties associated with the data objects) to a user such that the user may, for example, determine connections between various data objects, observe flows of information among data objects, and/or investigate related data objects.

Abstract: System and method for terminating instances and autoscaling instance groups of computing platforms. For example, a method includes determining whether an instance of an instance group is identified as eligible for termination. The method further includes, in response to determining that the instance of the instance group is identified as eligible for termination, terminating the eligible instance. The terminating the eligible instance includes, in response to a runtime of the eligible instance being equal to or larger than a predetermined maximum lifetime, terminating the eligible instance.

Abstract: An amplifier device, such as an operational amplifier device or unity gain buffer, may include a first input terminal, an inverting input terminal, a non-inverting input terminal, a reference voltage supply terminal, a negative voltage supply terminal, and an output terminal. The amplifier device may include one or more cascode arrangements, such as a first cascode arrangement coupled between the negative voltage supply terminal and the output terminal. A first transistor of the first cascode stage may be configured to receive a variable bias voltage at its gate terminal. A second transistor of the first cascode stage may be configured to receive a fixed bias voltage at its gate terminal. The variable bias voltage may correspond to a first input voltage supplied at the first input terminal.

Abstract: A switching device may include an input terminal, an output terminal, a primary switching transistor electrically coupled between the input terminal and the output terminal, and a cascode arrangement electrically coupled between the primary switching transistor and the input terminal. The cascode arrangement may include multiple cascode transistors, each having gate terminals coupled to nodes of a voltage divider that is coupled between a positive voltage supply and a reference voltage supply. Emitter-follower bipolar junction transistors (BJTs) may be configured to control voltages at the gate terminals of the primary switching transistor and the cascode transistors to accommodate changes in the output voltage at the output terminal.

Abstract: A switching device may include an input terminal, an output terminal, a primary switching transistor coupled between the input terminal and the output terminal, logic circuitry configured to receive a control signal to selectively activate the switching device, a first cascode arrangement coupled between the logic circuitry and a first reference voltage supply, and a second cascode arrangement coupled between the input terminal and the primary switching transistor. The first cascode arrangement may include cascode transistors having gate terminals coupled to a first voltage divider coupled between the first reference voltage supply and a second reference voltage supply that is coupled to the logic circuitry. The second cascode arrangement may include a first cascode transistor coupled to a fixed voltage at the first voltage divider and second and third cascode transistors coupled to variable cascode bias voltages at a second voltage divider coupled to a variable voltage input.

Abstract: A switching device may include an input terminal, an output terminal, a primary switching transistor coupled between the input terminal and the output terminal, logic circuitry configured to receive a control signal to selectively activate the switching device, a first cascode arrangement coupled between the logic circuitry and a first reference voltage supply, and a second cascode arrangement coupled between the input terminal and the primary switching transistor. The first cascode arrangement may include cascode transistors having gate terminals coupled to a first voltage divider coupled between the first reference voltage supply and a second reference voltage supply that is coupled to the logic circuitry. The second cascode arrangement may include a first cascode transistor coupled to a fixed voltage at the first voltage divider and second and third cascode transistors coupled to variable cascode bias voltages at a second voltage divider coupled to a variable voltage input.

Abstract: A switching device may include an input terminal, an output terminal, a primary switching transistor electrically coupled between the input terminal and the output terminal, and a cascode arrangement electrically coupled between the primary switching transistor and the input terminal. The cascode arrangement may include multiple cascode transistors, each having gate terminals coupled to nodes of a voltage divider that is coupled between a positive voltage supply and a reference voltage supply. Emitter-follower bipolar junction transistors (BJTs) may be configured to control voltages at the gate terminals of the primary switching transistor and the cascode transistors to accommodate changes in the output voltage at the output terminal.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Abstract: Disclosed are data gathering and analysis systems, methods, and computer-readable storage media to facilitate an investigation process. The method includes accessing a data object representing an investigative issue as part of initiating an investigative session. The method further includes causing presentation, on a display of a device, of a user interface configured to receive user search queries and present search results for each received search query. The method further includes tracking user activity including one or more user actions performed during the investigative session. The method further includes creating a record of the user activity, and linking the record of the user activity with the data object representing the investigative issue.

Abstract: Systems are provided for managing defect data objects. A system stores a plurality of defect data objects that have been input to the system, and generates an issue item including one or more defect data objects that are selected from the stored defect data objects based on user input. The system determines similarity between the one or more defect data objects in the issue item and one or more of the stored defect data objects that are out of the issue item, based on comparison of one or more parameter values. The system determines one or more candidate defect data objects to be included in the issue item from the one or more of the stored defect data objects that are out of the issue item based on the similarity, and includes one or more of the determined candidate defect data objects in the issue item based on user input.

Abstract: A system includes a reference field effect transistor (FET), wherein the reference FET is a depletion mode transistor, and a bias control circuit. The bias control circuit includes a voltage sensor connected to a drain terminal of the reference FET. The voltage sensor is configured to measure a voltage at the drain terminal of the reference FET as a measured voltage, determine a voltage difference between a reference voltage and the measured voltage, and output the voltage difference at a voltage sensor output terminal. The system includes a translation circuit connected the voltage sensor output terminal. The translation circuit is configured to convert the voltage difference into a negative gate bias voltage, and apply the negative gate bias voltage to a gate terminal of the reference FET.

Abstract: An amplifier system includes an amplifier transistor and a reference transistor used to provide a direct current (DC) bias voltage to bias a gate terminal of the amplifier transistor. The amplifier transistor may have a drain terminal coupled to a drain voltage supply and a radio frequency (RF) output node and a gate terminal coupled to bias circuitry that includes the reference transistor. The reference transistor may have a gate terminal coupled to a reference potential, a drain terminal coupled to the drain voltage supply, and a source terminal coupled to a constant current source and to the gate terminal of the amplifier transistor. The reference transistor may be formed on the same die as the amplifier transistor and may have a threshold voltage that is correlated with that of the amplifier transistor.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a current sensing circuit includes first and second integrated resistors on a semiconductor die, a controllable current source configured to provide a reference current, and a current determination circuit. A resistance value of the second integrated resistor is a factor n larger than a resistance value of the first integrated resistor. A current drawn by a target circuit is configured to flow through the first integrated resistor, and the reference current is configured to flow through the second integrated resistor. The current determination circuit is configured to determine a value of the current drawn by the target circuit based on the value of the reference current when a first voltage at a terminal of the first integrated resistor is approximately equal to a second voltage at a terminal of the second integrated resistor.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, by a first circuit of a charge pump circuit, charge sourced from a power supply operative at a first voltage level, wherein the first circuit comprises a first plurality of transistors, and wherein each of the first plurality of transistors is rated for operation at an applied voltage that is less than the first voltage level, storing the charge in a first capacitor of the first circuit at a first point in time, and transferring the charge stored in the first capacitor to a second capacitor of a second circuit of the charge pump circuit at a second point in time such that the second capacitor stores the charge, wherein the second point in time is subsequent to the first point in time. Other embodiments are disclosed.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Abstract: The subject invention pertains to the detection and differentiation of genetic variations by nucleic acid amplification. The invention provides methods of detecting one or more genetic variations in a nucleic acid that are in close proximity simultaneously. The invention further provides primer and probe oligonucleotides and methods of using said primers and probes in assays to detect genetic variants of concern of SARS-CoV-2. The methods of the invention detect genetic variants of other pathogens, including influenza, or genetic variants involved in inheritable diseases or cancer.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, by a first circuit of a charge pump circuit, charge sourced from a power supply operative at a first voltage level, wherein the first circuit comprises a first plurality of transistors, and wherein each of the first plurality of transistors is rated for operation at an applied voltage that is less than the first voltage level, storing the charge in a first capacitor of the first circuit at a first point in time, and transferring the charge stored in the first capacitor to a second capacitor of a second circuit of the charge pump circuit at a second point in time such that the second capacitor stores the charge, wherein the second point in time is subsequent to the first point in time. Other embodiments are disclosed.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.