83 research outputs found

    Wavelength Tunable Antenna Coupled Infrared Detectors

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    A tuned antenna-coupled infrared detector is made possible by application of a bias voltage in the range of a few hundred millivolts. The use of first and second antenna arms connected to the detector makes possible polarization tuning which eliminates the need for bulk-optical polarization filters. An alternative tuned detector is one in which the antenna is frequency tuned by a capacitative device to make the detector particularly responsive to 8 um to 12 um infrared radiation. When integrated into focal plane arrays, these detectors can be used in remote-sensing systems to facilitate enhanced image recognition, feature extraction and image-clutter removal. One preferred version of the polarization tuned antenna has longitudinal metal antenna arms extending outward from an infrared(IR) sensor in a spiral pattern, with polarization tuning devices connected between the antenna arms, and a voltage for controlling the polarization tuning devices, wherein the polarization tuning devices

    Characterization of a wavelength-tunable antenna-coupled infrared microbolometer

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    Wavelength tuning is demonstrated in an antenna-coupled infrared microbolometer. With a 300-mV control voltage, we observed a tuning range of 0.5 mu m near 10 mu m. A metal-oxide-semiconductor capacitor underneath the antenna arms causes the shift of resonance wavelength with applied voltage. We develop a device model that agrees well with measured results

    Medical Needs after Pediatric Traumatic Brain Injury: Probabilistic Linkage of State Claims Data with Trauma Center Data

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    Introduction Traumatic brain injury (TBI) causes enormous morbidity and mortality in both adults and children. Children who survive TBI may have significant disability. It is not known if patterns of outpatient claim use among TBI survivors can be used to estimate patient functional status. Objectives and Approach The objectives of this study are to 1) link regional data sources to create a dataset containing information about the entire continuum of care for children with TBI and 2) identify patterns of outpatient medical needs that can serve as proxies for functional status. We probabilistically linked trauma registry and electronic medical record (EMR) data for children hospitalized after acute TBI at the two pediatric trauma centers in Colorado, Children’s Hospital Colorado (CHCO) and Denver Health (DH), with claims data from the Colorado All Payer Claims Database (APCD) (2009-2014). Probabilistic linkage was performed using LinkSolv (Strategic Matching, Inc., Morrisonville, NY). Results Of 737 hospitalized children, 387 (53%) linked to records in the APCD. Among the children in the linked cohort (213 at CHCO and 174 at DH), the median age was 5 years (interquartile range [IQR] 2 to 13) and 264 (68%) were male. Most had either mild (Glasgow Coma Scale [GCS] 13-15, 51%) or severe (GCS <= 8, 36%) TBI. The 1-year hospital readmission rate among the 355 (92%) survivors was 52/355 (15%). Among the 248/355 (70%) who had a medication claim and the 316/355 (89%) who had an outpatient claim in the first year, respectively, the median number of medication claims was 6 (IQR 2 to 14) and the median number of outpatient claims was 5 (IQR 3 to 11). Conclusion/Implications We will leverage the linked registry, EMR, and claims data by using unsupervised machine learning to identify patterns of outpatient care that can serve as proxies for functional status in children who survive TBI. Analyses are ongoing and will be completed by September 2018

    Wavelength tuning of an antenna-coupled infrared microbolometer

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    Wavelength tuning is demonstrated in an antenna-coupled infrared microbolometer. With a 300-mV control voltage, we observed a tuning range of 0.15 mum near 10 mum. A metal-oxide-semiconductor capacitor underneath the antenna arms causes the shift of resonance wavelength with applied voltage. We develop a device model that agrees with measured results

    EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy, and Recommendations for Further Research

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    Electroencephalographic (EEG) biofeedback has been employed in substance use disorder (SUD) over the last three decades. The SUD is a complex series of disorders with frequent comorbidities and EEG abnormalities of several types. EEG biofeedback has been employed in conjunction with other therapies and may be useful in enhancing certain outcomes of therapy. Based on published clinical studies and employing efficacy criteria adapted by the Association for Applied Psychophysiology and Biofeedback and the International Society for Neurofeedback and Research, alpha theta training—either alone for alcoholism or in combination with beta training for stimulant and mixed substance abuse and combined with residential treatment programs, is probably efficacious. Considerations of further research design taking these factors into account are discussed and descriptions of contemporary research are given
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