Abstract: A processor includes a processing core to execute a transaction with a memory via a cache and a cache controller, associated with the processor, comprising an index mapper circuit to identify a physical memory address associated with the transaction, wherein the physical memory address comprises a plurality of bits, determine, based on the plurality of bits, a first set of bits encoding a tag value, a second set of bits encoding a page index value, and a third set of bits encoding a line index value, determine, based on the tag value, a bit-placement order for combining the second set of bits and the third set of bits, combine, based on the bit-placement order, the second set of bits and the third set of bits to form an index, and generate, based on the index, a mapping from the physical memory address to a cache line index value identifying a cache line in the cache, wherein the processing core is to access, based on the cache line, a memory location referenced by the physical memory address.

Abstract: A decision support tool is provided for predicting uterine contractions. The predicted contractions are determined from measurements of uterine activity (UA). The contraction forecast may be made using a plurality of trained predictive models. The forecasts are formed with linear regressive models based, at least in part, on UA data from a reference population. The predicted contractions may be predictions of contraction duration, contraction peak, and time between contractions. In this way, these predicted contractions may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the care plan.

Abstract: A decision support tool is provided for predicting the neonatal vitality scores of a fetus during delivery, the scores being an indicator of future health for the infant anticipated to be born within a future time interval, measured as time to birth. The predicted neonatal vitality score is determined from measurements of physiological variables monitored during labor, such as uterine activity and fetal heart rate. Fetal heart rate variability and patterns may be detected and computed using the monitored physiological variables, and neonatal vitality scores may be predicted based, at least in part, on the variability metrics and fetal heart rate patterns. Scores may be predicted for different delivery methods, such as vaginal delivery or cesarean delivery, for different time-to-birth intervals. In this way, these scores may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the delivery type.

Abstract: A decision support tool is provided for predicting uterine contractions. The predicted contractions are determined from measurements of uterine activity (UA). The contraction forecast may be made using a plurality of trained predictive models. In one aspect, the forecast is formed with an ensemble of neural network ARIMA models trained using the patient's UA data. Each model within the ensemble may be trained using a different combination of training parameters for the patient's UA data to predict a set of UA measurements for the future time interval. At least some of the sets of UA measurements predicted by the ensemble may be used to form a primary UA forecast for the patient. The predicted contractions may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the care plan.

Abstract: A decision support method and system is provided for monitoring and treating pediatric obesity. Embodiments include generating obesity risk curves corresponding to obesity risk levels, for example, severe and morbid obesity risk levels. Generating obesity risk curves depends on predicting at least one health proxy such as, for example, spend data and chronic conditions. Generating severe obesity curves depends on an age-dependent multiplier. An obesity risk level is assigned to a target pediatric patient using the obesity risk curves dependent on the age-dependent multiplier. In some aspects, an intervening response is initiated based on the assigned obesity risk level.

Abstract: A processor includes a processor core and a cache controller coupled to the processor core. The cache controller is to allocate, for a memory, a plurality of cache entries in a cache, wherein the processor core is to: detect an amount of the memory installed in a computing system and, responsive to detecting less than a maximum allowable amount of the memory for the computing system, direct the cache controller to increase a number of ways of the cache in which to allocate the plurality of cache entries.

Abstract: An embodiment of a semiconductor package apparatus may include technology to identify a nested loop in a set of executable instructions, and determine at runtime if the nested loop is a candidate for cache blocking. Other embodiments are disclosed and claimed.

Abstract: The present disclosure relates to a process for the conversion of biomass to crude bio-oil. Phycocyanin is extracted from the biomass to form phycocyanin extracted biomass (PEB) and subjecting the PEB to HTL conversion to obtain crude bio-oil. PEB results in improved yield of crude bio-oil as compared to the crude bio-oil yield from biomass without first extracting the phycocyanin from the biomass.

Abstract: Methods and systems for managing care team assignment's for individuals, such as a patient, are provided. Embodiments include receiving indicators of actions that are initiated by a clinician and associated with a patient's care. Using times associated with each action, a time series indicating contribution levels for each clinician may be constructed. Care contribution curves measuring a clinician's care contribution level over time may be generated using the time series and a rate of decay for each action, which may be based on the type of action and the role of the clinician who initiated the action. A care contribution score for each clinician may be determined from the clinician's care contribution curve, and a care team assignment for the patient may be created based on care contribution scores for each clinician who initiated an action.

Abstract: Disclosed are various embodiments for event processing architecture for real-time user engagement. Events that describe user interactions with client applications are analyzed in real-time when received in a data stream. The events are compared to patterns specified, for example, by administrators. If a pattern is matched based on a comparison to events received in the data stream, a predetermined action may be performed. The processing of events may be performed by a compute engine, which may include a virtual machine or a thread implemented in a parallel computing arrangement.

Abstract: A processor includes a processor core and a cache controller coupled to the processor core. The cache controller is to allocate, for a memory, a plurality of cache entries in a cache, wherein the processor core is to: detect an amount of the memory installed in a computing system and, responsive to detecting less than a maximum allowable amount of the memory for the computing system, direct the cache controller to increase a number of ways of the cache in which to allocate the plurality of cache entries.

Abstract: In one embodiment, a processor includes: a fetch logic to fetch instructions; a decode logic to decode the instructions; a cache memory; and a control logic to receive a cache filter instruction and responsive to the cache filter instruction enable only a selected portion of a memory address space to be eligible to be cached in the cache memory. The cache filter instruction may indicate the selected portion of the memory address space. Other embodiments are described and claimed.

Abstract: Methods and systems for predicting deterioration of a patient's condition within a future time interval based on a time series of values for monitored physiological variables measured from a patient, and in some instances, providing advanced notice to clinicians or caregivers when deterioration is forecasted or modifying treatment for the patient are provided. In particular, deterioration of a patient's condition is based on a Hopf bifurcation model and is predicted using a ratio of deviations for monitored physiological variables. A ratio of deviations relates the standard deviation and root mean square of successive differences for a set of physiological values measured over time. The RoD for one or more variables, such as heart rate, respiratory rate, and blood pressure, may be used to predict the likelihood of the patient's condition deteriorating into an unstable state as what occurs in a Hopf bifurcation.

Abstract: A processor includes a processing core to execute a transaction with a memory via a cache and a cache controller, associated with the processor, comprising an index mapper circuit to identify a physical memory address associated with the transaction, wherein the physical memory address comprises a plurality of bits, determine, based on the plurality of bits, a first set of bits encoding a tag value, a second set of bits encoding a page index value, and a third set of bits encoding a line index value, determine, based on the tag value, a bit-placement order for combining the second set of bits and the third set of bits, combine, based on the bit-placement order, the second set of bits and the third set of bits to form an index, and generate, based on the index, a mapping from the physical memory address to a cache line index value identifying a cache line in the cache, wherein the processing core is to access, based on the cache line, a memory location referenced by the physical memory address.

Abstract: Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.

Abstract: Techniques are disclosed to identify a frequently-executed region of code during runtime execution of the code, generate initial profiling code for the frequently-executed region of code, cause the initial profiling code to be executed for a minimum number of processing cycles of the computer, and identify replacement candidate store instruction(s) that store a value that is not read by the frequently-executed region of code during execution of the initial profiling code. Replacement candidate load instruction(s) may also be identified that load a value that is not stored or loaded by the frequently-executed region of code during execution of the initial profiling code. Optimized code for the frequently-executed region of code may be generated by replacing each of the replacement candidate store or load instructions(s) with a non-temporal store or load instruction. The optimized code may be executed instead of the frequently-executed region of code during subsequent runtime execution.

Abstract: Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.

Abstract: A processor includes a processor core and a cache controller coupled to the processor core. The cache controller is to allocate, for a memory, a plurality of cache entries in a cache, wherein the processor core is to: detect an amount of the memory installed in a computing system and, responsive to detecting less than a maximum allowable amount of the memory for the computing system, direct the cache controller to increase a number of ways of the cache in which to allocate the plurality of cache entries.

Abstract: Systems, apparatuses, and methods for a hardware and software system to automatically decompose a program into multiple parallel threads are described. In some embodiments, the systems and apparatuses execute a method of original code decomposition and/or generated thread execution.

Abstract: Described herein are mechanisms for continuous automatic tuning of code regions for optimal hardware configurations for the code regions. One mechanism automatically tunes the tunable parameters for a demarcated code region by calculating metrics while executing the code region with different sets of tunable parameters and selecting one of the different sets based on the calculated metrics.