Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.

Abstract: Systems and methods for distributed ledger-based identity management are disclosed. In one embodiment, a computer-based method for managing attestations may include: (1) receiving, by a computer program executed by an electronic device for an identity consumer and from an identity provider, a notification from an identity provider server that an attestation is available, wherein the attestation may be generated by the identity provider based on authorization from a system operator and may include a chain of trust comprising an identification of the system operator and the identity provider; (2) requesting, by the computer program, the attestation from the identity provider; and (3) downloading, by the computer program, the attestation to an identity consumer electronic wallet for the identity consumer. The identity provider may commit the downloading of the attestation to a distributed ledger, wherein the distributed ledger maintains a current status for the attestation.

Abstract: Provided herein are methods and systems for inferring biological age in a subject. The methods involve analyzing data from a microbiome and/or somatic cell transcriptome from a subject and executing a model that infers biological age.

Abstract: Systems and methods for distributed ledger-based identity management are disclosed. In one embodiment, a computer-based method for managing attestations may include: (1) receiving, by a computer program executed by an electronic device for an identity consumer and from an identity provider, a notification from an identity provider server that an attestation is available, wherein the attestation may be generated by the identity provider based on authorization from a system operator and may include a chain of trust comprising an identification of the system operator and the identity provider; (2) requesting, by the computer program, the attestation from the identity provider; and (3) downloading, by the computer program, the attestation to an identity consumer electronic wallet for the identity consumer. The identity provider may commit the downloading of the attestation to a distributed ledger, wherein the distributed ledger maintains a current status for the attestation.

Abstract: Provided herein are methods and systems for inferring biological age in a subject. The methods involve analyzing data from a microbiome and/or somatic cell transcriptome from a subject and executing a model that infers biological age.

Abstract: This disclosure provides systems, methods, and devices for memory systems that support operating a least portions of a memory core at a frequency lower than a memory clock to reduce power consumption and cost. In a first aspect, a memory controller includes a first core for scheduling a first memory operation for a first portion of a clock cycle of the memory clock and includes a second core for scheduling a second memory operation for a second portion of the clock cycle of the memory clock. Other aspects and features are also claimed and described.

Abstract: A memory system with adaptive refresh commands is disclosed. In one aspect, a memory system or device that has multiple banks within a channel may receive a per bank command that indicates a first bank to be refreshed and provides additional information about a second bank to be refreshed. In a further exemplary aspect, a quad bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through fourth banks to be refreshed. In a further exemplary aspect, an octa bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through eighth banks to be refreshed. The three new refresh commands allow adjacent or spaced banks to be refreshed.

Abstract: A memory system with adaptive refresh commands is disclosed. In one aspect, a memory system or device that has multiple banks within a channel may receive a per bank command that indicates a first bank to be refreshed and provides additional information about a second bank to be refreshed. In a further exemplary aspect, a quad bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through fourth banks to be refreshed. In a further exemplary aspect, an octa bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through eighth banks to be refreshed. The three new refresh commands allow adjacent or spaced banks to be refreshed.

Abstract: A battery thermal event management system includes an enclosure to store a plurality of battery modules, one or more ventilation panels, at least one actuator to open the one or more ventilation panels, and at least one sensor to detect one or more parameters. Further, the battery thermal event management system includes a detection system with a processor memory, and programming in the memory, coupled to the enclosure. The programming causes the battery thermal event management system to detect, via the at least one sensor, the one or more parameters. Next, the battery thermal event management system determines whether the detected one or more parameters indicate a ventilating event. Further, based on the detected one or more parameters indicating the ventilating event, the battery thermal event management system opens, via the at least one actuator, the one or more ventilation panels.

Abstract: A method may include determining an action associated with field development planning or asset management of an oilfield based on a policy or value function and a state, simulating a reward of the action using information identifying the action and the state as inputs, generating an experience record based on executing the simulation, wherein the experience record identifies the simulated reward associated with the action and a current state or resulting state, storing the experience record in an experience buffer, wherein the experience buffer stores a plurality of previously generated experience records, updating the policy or value function based on the information stored in the experience buffer, selecting an action related to the field development planning based on the updated policy, and displaying information representing the action.

Abstract: This disclosure provides systems, methods, and devices for memory systems that support operating a least portions of a memory core at a frequency lower than a memory clock to reduce power consumption and cost. In a first aspect, a memory controller includes a first core for scheduling a first memory operation for a first portion of a clock cycle of the memory clock and includes a second core for scheduling a second memory operation for a second portion of the clock cycle of the memory clock. Other aspects and features are also claimed and described.

Abstract: Various computer-implemented methods for utilizing a modified upper confidence bound (UCB) in an agent-simulator environment in well placement planning for oil fields are disclosed herein. A set of well placement sequences for placing well in a geographical region may be received, where each well placement sequent defines a sequence of multiple oil wells to be placed within the geographical region. A computer-implemented simulation may be executed on each of the well placement sequences to determine, for each of the well placement sequences, a reward based upon a calculated hydrocarbon recovery and a cost of the calculated hydrocarbon recovery. The well placement sequences may be iteratively selected for the computer-implemented simulations using the modified UCB algorithm and based upon the rewards determined for each of the plurality of well placement sequences.

Abstract: Various computer-implemented methods for utilizing a modified upper confidence bound (UCB) in an agent-simulator environment in well placement planning for oil fields are disclosed herein. A set of well placement sequences for placing well in a geographical region may be received, where each well placement sequent defines a sequence of multiple oil wells to be placed within the geographical region. A computer-implemented simulation may be executed on each of the well placement sequences to determine, for each of the well placement sequences, a reward based upon a calculated hydrocarbon recovery and a cost of the calculated hydrocarbon recovery. The well placement sequences may be iteratively selected for the computer-implemented simulations using the modified UCB algorithm and based upon the rewards determined for each of the plurality of well placement sequences.

Abstract: Systems and methods for using digital identity frameworks to access and interact with decentralized applications are disclosed.

Abstract: A memory system with adaptive refresh commands is disclosed. In one aspect, a memory system or device that has multiple banks within a channel may receive a per bank command that indicates a first bank to be refreshed and provides additional information about a second bank to be refreshed. In a further exemplary aspect, a quad bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through fourth banks to be refreshed. In a further exemplary aspect, an octa bank refresh command may be sent that indicates a first bank to be refreshed and provides additional information about second through eighth banks to be refreshed. The three new refresh commands allow adjacent or spaced banks to be refreshed.

Abstract: The present invention relates to a stable, solid composition of Azilsartan or its pharmaceutically acceptable salts thereof and one or more pharmaceutically acceptable excipient(s); optionally, the said composition further comprises a diuretic, preferably a thiazide diuretic such as Chlorthalidone, and processes for its preparation.

Abstract: An example energy storage system includes an enclosure. The enclosure includes at least one door. The enclosure stores a plurality of battery racks. Each battery rack holds a respective plurality of battery modules. The enclosure further stores a plurality of plenums. The plurality of plenums includes a left plenum and a right plenum coupled together to form an enclosed channel around the plurality of battery racks to direct air to the plurality of battery racks. The enclosure further stores a plurality of heating, ventilation, and air conditioning (HVAC) systems mounted on the at least one door to supply air to the left plenum and the right plenum. Each HVAC system includes a respective supply vent and a respective return vent. The left plenum and the right plenum each include a plenum interface for coupling to the respective supply vent or the respective return vent.

Abstract: Examples described herein relate to a system to estimate latency of operations of a process without receiving a latency value directly based on received performance values and/or estimate throughput of packets transmitted for the process without receiving a throughput value directly based on received performance values. In some examples, the system is to request to adjust resource allocation to perform the process based on the determined latency and throughput.

Abstract: Provided herein are methods and systems for inferring biological age in a subject. The methods involve analyzing data from a microbiome and/or somatic cell transcriptome from a subject and executing a model that infers biological age.

Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.