17 research outputs found

    Analytics and Artificial Intelligence: Deep Learning for Anomaly Detection - A case study from the financial sector with application to process safety

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    PresentationThis presentation reports on a case study from the financial sector with application to challenges in the field of process safety. Banks collect massive amounts of data from routine financial transactions. Some of the data is anomalous, is corrupt, or represents a signal that warrants follow-up attention from subject matter experts. Currently, review of such data is often a manual inspection which is time consuming, expensive, and limited to representative data sets. In this case study, we employ machine learning, deep learning to rapidly review historical data and tag anomalous data that represents a signal for follow-up attention. With this methodology, we are able to automate the manual process, quickly finding anomalies, dramatically reducing assessment time, expanding the range and volume of data that can be reviewed, and finding signals that previously would likely be missed. Benefits to the financial institution include major cost reductions and improvements in detection of fraud. Application of the machine learning/data assessment approach to process safety challenges may provide safety and cost-reduction benefits as well

    Differences in middle school science achievement test scores before and after laboratory/inquiry method of instruction

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    Includes bibliographical references.Comparison was made of achievement test scores before and after the introduction of a new inquiry/laboratory science teaching curriculum in a suburban Mid­western middle school. The same test, given by the writer as an independent tester, was given to students in the sixth, seventh, and eighth grades at the beginning and end of the school years, the year before the new curriculum was introduced, and again in like manner the following year. Random samples of each set of scores were analyzed for statistical significance of differences. There was a significant increase in achievement in the sixth and eighth grades during the year previous to the new curriculum (P= <.05) and nearly so in the seventh grade of that year, but virtually no increase in the before and after scores during the year of the new curriculum. The expected progression from grade to higher grade was evident only in the year before the new curriculum. Thus, the hypothesis that students would show a higher score on science achievement tests designed to measure acquisition of science principles and concepts as well as science facts when taught by the new laboratory and inquiry method rather than by the traditional textbook-teacher-demonstration method was rejected as a result of the findings in this study. The results confirm the findings of numerous other studies of similar design, and have been interpreted to mean that either the new curriculum did not produce much learning as determined by the achievement test or that the test did not measure what was being learned.M.S. Ed. (Master of Education

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    Parkinson’s disease (PD) is characterized by resting tremor, rigidity and bradykinesia. Dopaminergic medications such as L-dopa treat these motor symptoms, but can have complex effects on cognition. Impulse control is an essential cognitive function. Impulsivity is multifaceted in nature. Motor impulsivity involves the inability to withhold pre-potent, automatic, erroneous responses. In contrast, cognitive impulsivity refers to improper risk-reward assessment guiding behavior. Informed by our previous research, we anticipated that dopaminergic therapy would decrease motor impulsivity though it is well known to enhance cognitive impulsivity. We employed the Go/No-go paradigm to assess motor impulsivity in PD. Patients with PD were tested using a Go/No-go task on and off their normal dopaminergic medication. Participants completed cognitive, mood, and physiological measures. PD patients on medication had a significantly higher proportion of Go trial Timeouts (i.e., trials in which Go responses were not completed prior to a deadline of 750 ms) compared to off medication (p = 0.01). No significant ON-OFF differences were found for Go trial or No-go trial response times (RTs), or for number of No-go errors. We interpret that dopaminergic therapy induces a more conservative response set, reflected in Go trial Timeouts in PD patients. In this way, dopaminergic therapy decreased motor impulsivity in PD patients. This is in contrast to the widely recognized effects of dopaminergic therapy on cognitive impulsivity leading in some patients to impulse control disorders. Understanding the nuanced effects of dopaminergic treatment in PD on cognitive functions such as impulse control will clarify therapeutic decisions
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