Hasling
Michael W. Hasling, Princeton Junction, NJ US
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20110041122 | AUTOMATIC IDENTIFICATION OF EXECUTION PHASES IN LOAD TESTS - A method for automatic identification of execution phases in load test data includes receiving load test data indicating processor utilization for threads over a period of time divided into a plurality of intervals. For each pair of proximate intervals, it is determined whether thread-wise processor utilization for a first interval is statistically indistinguishable from that of a second interval. The pair of proximate intervals is combined when it is determined that the processor utilization for the first interval is statistically indistinguishable from that of the second interval. Each of the pair of proximate intervals is divided into subintervals when it is determined that the first interval is not statistically indistinguishable the second interval. One or more execution phases are automatically identified as occurring between proximate intervals that are not substantially equivalent. | 02-17-2011 |
Nicole Hasling, Durango, CO US
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20110160495 | SYNTHESIS OF HIGH MOLECULAR WEIGHT PRIMARY ALCOHOLS - The present invention relates to methods for preparing high molecular weight aliphatic primary alcohol using hydroboration reactions. | 06-30-2011 |
Thomas Hasling, Honolulu, HI US
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20100268094 | Consumer electronic camera photoplethysmograph - A body part is placed on or near a consumer electronic device camera. The camera senses periodic light variations. A program analyses variations in images captured by the digital camera to determine pulse rate or breathing rate. | 10-21-2010 |
William Michael Hasling, Princeton Junction, NJ US
Patent application number | Description | Published |
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20150019248 | Gap in Care Determination Using a Generic Repository for Healthcare - By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices. | 01-15-2015 |