222 research outputs found

    Fringe counter for interferometers Patent

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    Digital sensor for counting fringes produced by interferometers with improved sensitivity and one photomultiplier tube to eliminate alignment proble

    Demonstration of Record-High mm-Wave Power Performance using N-Polar Gallium Nitride HEMTs

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    Gallium Nitride high electron mobility transistors (GaN HEMTs) are proven to be well suited devices for highly efficient solid-state radio frequency power amplification, especially when high output power is desired. Existing GaN transistor technologies using the Ga-polar crystal orientation (0001) have been demonstrated operating at millimeter-wave frequencies (30 to 300 GHz). While these Ga-polar devices have demonstrated good large signal functionality, their performance has largely saturated. With growing interest in communication and imaging applications operating at mm-wave frequencies there is a need for transistors technologies with higher performance at these frequencies. This work focuses on the development and demonstration of mm-wave N-polar GaN HEMTs using a deep recess device structure. The internal polarization electric fields that are characteristic of c-plane GaN are inverted in the N-polar GaN orientation (000-1) relative to the Ga-polar orientation. This enables the deep recess device structure used in this work where a GaN cap layer is added into the access regions of the device. This GaN cap mitigates the impact of DC-to-RF dispersion and improves the conductivity of the access regions leading to the demonstration record-high output power density and power-added efficiency at operating frequencies ranging from 30 to 94 GHz. At 94 GHz, an unprecedented 8 W/mm of output power density with an associated 26.9% power-added efficiency has been obtained

    Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals

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    The National Ecological Observatory Network (NEON) is a continental scale environmental monitoring initiative tasked with characterizing and understanding ecological phenomenology over a 30-year time frame. To support this mission, NEON collects ground truth measurements, such as organism counts and characterization, carbon flux measurements, etc. To spatially upscale these plot-based measurements, NEON developed an airborne observation platform (AOP), with a high-resolution visible camera, next-generation AVIRIS imaging spectrometer, and a discrete and waveform digitizing light detection and ranging (lidar) system. While visible imaging, imaging spectroscopy, and discrete lidar are relatively mature technologies, our understanding of and associated algorithm development for small-footprint full-waveform lidar are still in early stages of development. This work has as its primary aim to extend small-footprint full-waveform lidar capabilities to assess vegetation biophysical structure. In order to fully exploit waveform lidar capabilities, high fidelity geometric and radio-metric truth data are needed. Forests are structurally and spectrally complex, which makes collecting the necessary truth challenging, if not impossible. We utilize the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model, which provides an environment for radiometric simulations, in order to simulate waveform lidar signals. The first step of this research was to build a virtual forest stand based on Harvard Forest inventory data. This scene was used to assess the level of geometric fidelity necessary for small-footprint waveform lidar simulation in broadleaf forests. It was found that leaves have the largest influence on the backscattered signal and that there is little contribution to the signal from the leaf stems and twigs. From this knowledge, a number of additional realistic and abstract virtual “forest” scenes were created to aid studies assessing the ability of waveform lidar systems to extract biophysical phenomenology. We developed an additive model, based on these scenes, for correcting the attenuation in backscattered signal caused by the canopy. The attenuation-corrected waveform, when coupled with estimates of the leaf-level reflectance, provides a measure of the complex within-canopy forest structure. This work has implications for our improved understanding of complex waveform lidar signals in forest environments and, very importantly, takes the research community a significant step closer to assessing fine-scale horizontally- and vertically-explicit leaf area, a holy grail of forest ecology

    Fabrication and characterization of III-V tunnel field-effect transistors for low voltage logic applications

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    With voltage scaling to reduce power consumption in scaled transistors the subthreshold swing is becoming a critical factor influencing the minimum voltage margin between the transistor on and off-states. Conventional metal-oxide-semiconductor field-effect transistors (MOSFETs) are fundamentally limited to a 60 mV/dec swing due to the thermionic emission current transport mechanism at room temperature. Tunnel field-effect transistors (TFETs) utilize band-to-band tunneling as the current transport mechanism resulting in the potential for sub-60 mV/dec subthreshold swings and have been identified as a possible replacement to the MOSFET for low-voltage logic applications. The TFET operates as a gated p-i-n diode under reverse bias where the gate electrode is placed over the intrinsic channel allowing for modulation of the tunnel barrier thickness. When the barrier is sufficiently thin the tunneling probability increases enough to allow for significant number of electrons to tunnel from the source into the channel. To date, experimental TFET reports using III-V semiconductors have failed to produce devices that combine a steep subthreshold swing with a large enough drive current to compete with scaled CMOS. This study developed the foundations for TFET fabrication by improving an established Esaki tunnel diode process flow and extending it to include the addition of a gate electrode to form a TFET. The gating process was developed using an In0.53Ga0.57As TFET which demonstrated a minimum subthreshold slope of 100 mV/dec. To address the issue of TFET drive current an InAs/GaSb heterojunction TFET structure was investigated taking advantage of the smaller tunnel barrier height

    Examining the Relationship between ASD Knowledge and Educator Experience in a NY State Sample

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    Given the increase in autism spectrum disorder (ASD) prevalence rates (CDC, 2021), educators are more likely than ever to serve autistic students across educational environments. The literature suggests that educator knowledge of ASD may be poor and impact effectiveness in working with students (Gómez-Mari, 2021). This study will examine knowledge about ASD in a large sample of educators from New York state (N=400) using data from an online survey. Autism knowledge was measured using the ASK-Q, a measure validated and designed to reliably identify gaps in ASD knowledge across cultures and professions (Harrison, 2017). Regression analyses will be used to examine the association between years of experience and other demographic variables (e.g., age, educator type) with educators’ ASD knowledge across specific domains—diagnosis and symptoms, etiology, treatment, and stigma. Implications are relevant to identifying demographic-specific training needs and developing resources for educators working with autistic students.https://orb.binghamton.edu/research_days_posters_2022/1015/thumbnail.jp

    New methodology for describing the equilibrium beach profile applied ti teh Valencia's beachs

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    [EN] Nuevo metodo de determinaciĂłn de la profundidad de cierre del prfil de playa y su aplicaciĂłn para ajustar el volumen de arenas de aportaciĂłn en alimentaciones artificialesAragones, L.; Serra Peris, JC.; Villacampa, Y.; Saval, JM.; Tinoco, H. (2016). New methodology for describing the equilibrium beach profile applied ti teh Valencia's beachs. Geomorphology. 259:1-11. doi:10.1016/j.geomorph.2015.06.049S11125

    Plasma BDNF Levels Vary in Relation to Body Weight in Females

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    Brain derived neurotrophic factor (BDNF) has been implicated in the pathophysiology of depression as well as neuropsychiatric and neurodegenerative disorders. Recent studies show a role of BDNF in energy metabolism and body weight regulation. We examined BDNF levels in plasma and cerebrospinal fluid (CSF) samples from age matched elderly depressed and control subjects. Also, the association of BDNF levels with age, gender, body weight, body mass index (BMI), and cognitive performance was evaluated. We did not find any significant differences in plasma and CSF BDNF levels between depressed and control subjects. Plasma BDNF levels were negatively correlated with age (but not with BMI and body weight), when analyses were performed including both depressed and control subjects. A significant reduction in plasma BDNF levels was observed in females as compared to male subjects, and the change in BDNF levels were significantly and positively related to body weight in females. Furthermore, significant increases in Total Recall and Delayed Recall values were found in females as compared to males. In conclusion, the lower BDNF levels observed in females suggest that changes in peripheral BDNF levels are likely secondary to an altered energy balance. However, further studies using larger sample size are warranted

    Gene expression in the prefrontal cortex during adolescence: implications for the onset of schizophrenia

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    <p>Abstract</p> <p>Background</p> <p>Many critical maturational processes take place in the human brain during postnatal development. In particular, the prefrontal cortex does not reach maturation until late adolescence and this stage is associated with substantial white matter volume increases. Patients with schizophrenia and other major psychiatric disorders tend to first present with overt symptoms during late adolescence/early adulthood and it has been proposed that this developmental stage represents a "window of vulnerability".</p> <p>Methods</p> <p>In this study we used whole genome microarrays to measure gene expression in post mortem prefrontal cortex tissue from human individuals ranging in age from 0 to 49 years. To identify genes specifically altered in the late adolescent period, we applied a template matching procedure. Genes were identified which showed a significant correlation to a template showing a peak of expression between ages 15 and 25.</p> <p>Results</p> <p>Approximately 2000 genes displayed an expression pattern that was significantly correlated (positively or negatively) with the template. In the majority of cases, these genes in fact reached a plateau during adolescence with only subtle changes thereafter. These include a number of genes previously associated with schizophrenia including the susceptibility gene neuregulin 1 (NRG1). Functional profiling revealed peak expression in late adolescence for genes associated with energy metabolism and protein and lipid synthesis, together with decreases for genes involved in glutamate and neuropeptide signalling and neuronal development/plasticity. Strikingly, eight myelin-related genes previously found decreased in schizophrenia brain tissue showed a peak in their expression levels in late adolescence, while the single myelin gene reported increased in patients with schizophrenia was decreased in late adolescence.</p> <p>Conclusion</p> <p>The observed changes imply that molecular mechanisms critical for adolescent brain development are disturbed in schizophrenia patients.</p

    Sandy coastlines under threat of erosion

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    Sandy beaches occupy more than one-third of the global coastline(1) and have high socioeconomic value related to recreation, tourism and ecosystem services(2). Beaches are the interface between land and ocean, providing coastal protection from marine storms and cyclones(3). However the presence of sandy beaches cannot be taken for granted, as they are under constant change, driven by meteorological(4,5), geological(6) and anthropogenic factors(1,7). A substantial proportion of the world's sandy coastline is already eroding(1,7), a situation that could be exacerbated by climate change(8,9). Here, we show that ambient trends in shoreline dynamics, combined with coastal recession driven by sea level rise, could result in the near extinction of almost half of the world's sandy beaches by the end of the century. Moderate GHG emission mitigation could prevent 40% of shoreline retreat. Projected shoreline dynamics are dominated by sea level rise for the majority of sandy beaches, but in certain regions the erosive trend is counteracted by accretive ambient shoreline changes; for example, in the Amazon, East and Southeast Asia and the north tropical Pacific. A substantial proportion of the threatened sandy shorelines are in densely populated areas, underlining the need for the design and implementation of effective adaptive measures. Erosion is a major problem facing sandy beaches that will probably worsen with climate change and sea-level rise. Half the world's beaches, many of which are in densely populated areas, could disappear by the end of the century under current trends; mitigation could lessen retreat by 40%.info:eu-repo/semantics/publishedVersio

    Stress among parents of children with and without autism spectrum disorder: a comparison involving physiological indicators and parent self-reports

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    Parents of children with Autism Spectrum Disorder (ASD) have been reported as experiencing higher levels of stress and poorer physical health than parents of typically developing children. However, most of the relevant literature has been based on parental self-reports of stress and health. While research on physiological outcomes has grown in recent years, gaps still exist in our understanding of the physiological effects, if any, of stress related to parenting a child with ASD. The present study compared parent-reported stress, anxiety, and depression, as well as selected physiological measures of stress (i.e., cortisol, alpha-amylase, and ambulatory blood pressure and heart rate) between matched groups of parents of children with (N = 38) and without (N = 38) ASD. Participants completed questionnaires, collected saliva samples for the purpose of measuring cortisol and alpha-amylase, and wore an ambulatory blood pressure monitor for 24 h. Parents of children with ASD reported significantly higher levels of parental distress, anxiety, and depression than parents of typically developing children. Parent-reported distress, anxiety, depression, and health were not correlated with physiological measures. With the exception that parents of children with ASD had significantly lower cortisol levels 30 min after waking, no other significant group differences were found for physiological measures. Parents of children with ASD reported significantly higher use of a number of adaptive coping strategies (e.g., emotional support) in comparison to parents of typically developing children. Results are discussed in the context of implications for future research directions, stress research, and practical implications for parental support
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