Abstract: A controller includes: a pulse-width modulation (PWM) circuit; a control loop; and a reference voltage controller. The control loop has: a feedback input adapted to be coupled to an output voltage of a power stage; a control loop output coupled to a PWM control input; and an operational amplifier with a first feedback input, a first reference input, and an amplifier output, the first feedback input connected to the feedback input, and the amplifier output coupled to the PWM control input. The reference voltage controller has a reference voltage output coupled to the first reference input, the reference voltage controller configured to adjust a reference voltage provided to the reference voltage output responsive to a dynamic error estimate based on error in the operational amplifier.

Abstract: A method includes allocating an identifier to each of a plurality of policies each comprising a network-isolation identifier associated with a VXWAN directive and transmitting each of the plurality of policies to one or more devices in a network.

Abstract: A system and method of monitoring a powder-bed additive manufacturing process is provided where a layer of additive powder is fused using an energy source and electromagnetic emission signals are measured by a melt pool monitoring system to monitor the print process. The measured emission signals are analyzed to identify outlier emissions and clusters of outliers are identified by assessing the spatial proximity of the outlier emissions, e.g., using clustering algorithms, spatial control charts, etc. An alert may be provided or a process adjustment may be made when a cluster is identified or when a magnitude of a cluster exceeds a predetermined cluster threshold.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: Described are systems and methods for segmenting images which comprise impinging a substrate surface with a particle beam at each of a plurality of sensing locations which define a subset of locations within an area of interest of the substrate surface. An intensity value associated with post-impingement particles resulting from the impinging is measured and the measured intensity based on the intensity value of the sensing location is calculated. For each of a plurality of estimated locations which define a further subset of said area of interest and a corresponding estimated intensity based on at least one of the following corresponding to one or more locations proximal to the estimated location is calculated. The plurality of estimated locations is each segmented based on the corresponding estimated intensity, each of the sensing locations, and based on the corresponding measured intensity, to correspond to one of the plurality of features.

Abstract: A system and method of monitoring a powder-bed additive manufacturing process is provided where a layer of additive powder is fused using an energy source and electromagnetic emission signals are measured by a melt pool monitoring system to monitor the print process. The measured emission signals are analyzed to identify outlier emissions and clusters of outliers are identified by assessing the spatial proximity of the outlier emissions, e.g., using clustering algorithms, spatial control charts, etc. An alert may be provided or a process adjustment may be made when a cluster is identified or when a magnitude of a cluster exceeds a predetermined cluster threshold.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: Disclosed are compounds of Formula (I) and pharmaceutically acceptable salts and solvates thereof. Such compounds are MEK inhibitors and are useful in the treatment of proliferative diseases, such as cancer. Also disclosed are pharmaceutical compositions containing such compounds as well as methods of using the compounds and compositions of the invention in the treatment of cancer.

Abstract: An information handling system includes first and second memories, and a processor. The first memory stores user settings for performing a search in a system management console. The second memory stores data associated with components of the system management console. The processor receives multiple user defined weights, and each of the user defined weights is associated with a different search criterion of multiple search criteria. Based on the received user defined weights, the processor determines updated weights for each of the search criteria. The processor stores the updated weights for each of the search criteria in the user setting of the first memory. The processor receives a search query, and provides search results based on the search query and the updated weights for each of the search criteria. The search results include data from the second memory.

Abstract: A system and method of monitoring a powder-bed additive manufacturing process is provided where a layer of additive powder is fused using an energy source and electromagnetic emission signals are measured by a melt pool monitoring system to monitor the print process. The measured emission signals are analyzed to identify outlier emissions and clusters of outliers are identified by assessing the spatial proximity of the outlier emissions, e.g., using clustering algorithms, spatial control charts, etc. An alert may be provided or a process adjustment may be made when a cluster is identified or when a magnitude of a cluster exceeds a predetermined cluster threshold.

Abstract: Disclosed herein are various embodiments for a performance metric monitoring and feedback system. An embodiment operates by determining a first performance metric for a first application available to a plurality of users of the first application operating first user devices. A second performance metric for a second application available to a plurality of users of the second application operating second user devices is determined. A real-time performance of both the first application and the second application is monitored across the set of computing devices. A user interface that simultaneously displays both the first performance metric for the first application and the second performance metric for the second application accessible to one or more members of the organization in accordance with the display format of the metric template is generated.

Abstract: Disclosed herein is a process of making a compound of formula I The compound of formula I is an inhibitor of MEK and thus can be used to treat cancer.

Abstract: Estimating a time to perform an operation on a prospective data set of a selected size that includes a plurality of data entities and relationships between the data entities. A number of data sets of different size each comprising a number of like data entities and like relationships between the like data entities are received as input. A number of actions performed on a subset of the number of like data entities and like relationships between the like data entities that substantially comprise the operation are provided as output. For each of the number of data sets of different size, an elapsed time to perform a batch process for each of the number of actions on the subset of the number of like data entities and like relationships between the like data entities that comprise the operation is calculated.

Abstract: Estimating a time to perform an operation on a prospective data set of a selected size that includes a plurality of data entities and relationships between the data entities. A number of data sets of different size each comprising a number of like data entities and like relationships between the like data entities are received as input. A number of actions performed on a subset of the number of like data entities and like relationships between the like data entities that substantially comprise the operation are provided as output. For each of the number of data sets of different size, an elapsed time to perform a batch process for each of the number of actions on the subset of the number of like data entities and like relationships between the like data entities that comprise the operation is calculated.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: A device may receive data for a plurality of metrics from a set of server resources associated with hosting an application. The plurality of metrics may be related to a performance of the set of server resources. The data may be time series data. The device may normalize the data for the plurality of metrics across a set of points in time to form normalized data. The device may determine a score for the performance of the set of server resources associated with hosting the application at a particular point in time based on the normalized data. The score may be used to determine whether an anomaly is present in the performance of the set of server resources at the particular point in time. The device may perform an action to facilitate improvement of the performance of the set of server resources based on the score satisfying a threshold.

Abstract: Exemplary embodiments provide systems and methods for determining performance metrics or statistics relating to relational databases that are accessed remotely. Such embodiments may automatically discover the presence or identity of such remotely-stored databases using serverless code, query each database for performance information, convert the performance information into performance metrics, and store the performance metrics as time-series data in a time-series database. The performance metrics may be used to generate notifications, provide input to a machine learning process, adjust settings of the relational databases or an associated service, or provide a visualization of the performance of the databases, among other possibilities.

Abstract: Disclosed herein is a process of making a compound of formula I The compound of formula I is an inhibitor of MEK and thus can be used to treat cancer.

Abstract: A personalized non-invasive blood glucose measurement method according to the present disclosure includes: (a) collecting blood glucose value data of a patient by a processor unit; (b) determining an acceptable final error E? with the blood glucose value data collected by the processor unit; (c) non-invasively predicting a blood glucose value in accordance with a setting mode by a patient when the final error E? is determined, to measure a blood glucose value, by the processor unit; (d) periodically determining whether the final error E? is calibrated by the processor unit; and (e) when it is not necessary to recalibrate in step (d), non-invasively predicting the blood glucose value in the range of the final error E? determined in step (b) to measure the blood glucose value, to non-invasively provide an accurate personalized blood glucose value to a patient who needs to invasively measure a blood glucose every day.