Abstract: A stimulation system for a patient is provided. The system comprises: at least one implantable device comprising at least one implantable antenna; and an external device comprising at least one external antenna, wherein the at least one external antenna transfers power to the at least one implantable antenna. The at least one implantable device delivers therapy to the patient. A patient attachment device or body covering positions the at least one external antenna relative to the patient.

Abstract: Mitigating or managing an effect known as “rowhammer” upon a DRAM device may include a memory controller receiving an activation count threshold value from the DRAM device. The memory controller may detect row activation commands directed to the DRAM device and count the number of the row activation commands. The memory controller may send a mitigative refresh command to the DRAM device based on the result of comparing the counted number of row activation commands with the received activation count threshold value.

Abstract: An effect known as “rowhammer” may be mitigated in a DRAM organized in sub-banks of two or more rows. Row activation commands directed to a sub-bank may be detected. The number of row activation commands occurring within a refresh window may be counted and compared with a threshold. When it is detected that the number of row activation commands within the refresh window exceeds the threshold, an additional refresh command may be provided to the DRAM.

Abstract: A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g.

Abstract: A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g.

Abstract: Apparatus having model-based machine learning and inferencing logic for controlling object transfer, comprises: an image input component to receive image data derived from a captured image of an object; a captured image classifier to 5 generate a first classification of the object by activating a trained model to analyse the image data; an input component to receive an object identifier for the object; an object identification classifier to generate a second classification of the object according to the object identifier; matching logic to detect failure to reconcile the first and second classification; heuristic logic responsive to the matching logic to 10 determine a causal factor in the failure; and training logic, operable when the heuristic logic determines that a causal factor in the failure to reconcile is a deficient first classification, to provide model training input comprising the image data and the object identifier to the model-based machine learning logic.

Abstract: Provided herein are ready-to-use premixed pharmaceutical compositions of nicardipine or a pharmaceutically acceptable salt and methods for use in treating cardiovascular and cerebrovascular conditions.

Abstract: In an embodiment, an electronic device includes an electronic display. The electronic display provides a programmable latency period in response to receiving a first image frame corresponding to first image frame data. The electronic display also displays the first image frame after the programmable latency period and during display of the first image frame, receives a second image frame corresponding to second image frame data. The electronic display also repeats display of the first image frame in response to receiving the second image frame.

Abstract: A system that generates and testing hypotheses about the spread of pandemic infections and updates a predictive model of the disease to reflect newly identified hypotheses and/or determinations that previously identified hypotheses are no longer suggested by the latest data. By coding, organizing, and sorting newly received data in a non-biased way, the disclosed system rapidly identifies new insights about the disease (and evidence challenging previously held assumptions about that disease) that can be communicated to public health officials, policymakers, and clinicians to better understand the nature of the disease and the effectiveness of clinical and public health interventions that are being used—or may be used—to control and treat the disease. The disclosed system also uses those new hypotheses (and evidence that previous hypotheses can be discounted) to adjust the predictive model to more accurately reflect the latest understanding of the disease and the effectiveness of potential interventions.

Abstract: Provided herein are ready-to-use premixed pharmaceutical compositions of nicardipine or a pharmaceutically acceptable salt and methods for use in treating cardiovascular and cerebrovascular conditions.

Abstract: In an embodiment, an electronic device includes an electronic display. The electronic display provides a programmable latency period in response to receiving a first image frame corresponding to first image frame data. The electronic display also displays the first image frame after the programmable latency period and during display of the first image frame, receives a second image frame corresponding to second image frame data. The electronic display also repeats display of the first image frame in response to receiving the second image frame.

Abstract: A method for generating hypotheses in a corpus of data comprises selecting a form of ontology; coding the corpus of data based on the form of the ontology; generating ontology space based on coding results and the ontology; transforming the ontology space into a hypothesis space by grouping hypotheses; weighing hypotheses included in the hypothesis space; and applying a science-based optimization algorithm configured to model a science-based treatment of the weighted hypotheses.

Abstract: A DRAM memory controller is provided that identifies a marker command directed to a given row in a DRAM. If a threshold probability is satisfied in response to an identification of the marker command, the DRAM memory controller commands the DRAM to refresh a neighboring row in the DRAM. The neighboring row may be a neighboring of the given row or of a recently-closed row.

Abstract: The present disclosure describes a computational model of a learning network. The computational model may be implemented as instructions stored on a non-transitory memory that may be executed by a processor on a local machine or as part of a cloud-based architecture employing one or more multi-thread processors enabling different users to utilize the tool to enter data and visualize results simultaneously from different locations. The computational model may accept inputs corresponding to characteristics of a patient agent and characteristics of a clinician agent. The computational model may simulate how the patient agent and the clinician agent interact with respect to a treatment selection and efficacy and may additionally and iteratively simulate further interactions between the patient agent and the clinician agent. The computational model may record how the interactions between the patient agent and the clinician agent change patient agent outcomes over time.

Abstract: A method for generating hypotheses in a corpus of data comprises selecting a form of ontology; coding the corpus of data based on the form of the ontology; generating ontology space based on coding results and the ontology; transforming the ontology space into a hypothesis space by grouping hypotheses; weighing hypotheses included in the hypothesis space; and applying a science-based optimization algorithm configured to model a science-based treatment of the weighted hypotheses.

Abstract: A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g.

Abstract: Provided herein are ready-to-use premixed pharmaceutical compositions of nicardipine or a pharmaceutically acceptable salt and methods for use in treating cardiovascular and cerebrovascular conditions.

Abstract: Provided herein are ready-to-use premixed pharmaceutical compositions of nicardipine or a pharmaceutically acceptable salt and methods for use in treating cardiovascular and cerebrovascular conditions.

Abstract: In an aspect, an apparatus defines a group of registers that includes at least one of a plurality of registers in an integrated circuit. Each of the plurality of registers in the integrated circuit may be constrained to one of a plurality of fixed groups of registers. The apparatus applies a first set of access control rules to the group of registers, the first set of access control rules configured to override any of a second set of access control rules applied to the one or more fixed groups of registers.

Abstract: A method for generating hypotheses in a corpus of data comprises selecting a form of ontology; coding the corpus of data based on the form of the ontology; generating ontology space based on coding results and the ontology; transforming the ontology space into a hypothesis space by grouping hypotheses; weighing hypotheses included in the hypothesis space; and applying a science-based sorting algorithm configured to model a science-based treatment of the weighted hypotheses.