45 research outputs found

    Botnets: Smart Home User Vulnerabilities and Prevention

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    Internet of things (IoT) devices are emerging technology and everyday devices used worldwide that puts convenience at our fingertips through the collection and analyzation of our physical environment via the use of sensors and internet-connected devices. But that convenience came with the cost of IoT attacks tripling in number within the first half of 2018 compared to the number of IoT attacks in 2017 (Kaspersky Lab, 2018). In terms of home user devices, there are smart and fitness watches, refrigerators, and home assistants like the Google Home Assistant and the Amazon Echo Dot, and more. Although these devices aide in making life easier, IoT devices are prone to the threats, vulnerabilities, and risks that come with being connected to the Internet. Yet, at the same time, these devices are used to create smart homes. Research by OWASP and Lopez et al. (2018) has shown that there are several security threats to IoT that demonstrate the need to create stronger security practices. This project investigates ongoing research of IoT exploitation, particularly by botnets, to produce simple implementation recommendations and secure practices for home users. The aim of this research is to provide homes users with preventative methods to protect their smart homes and devices, so they do not fall victim to botnets

    The ENIGMA sports injury working group - an international collaboration to further our understanding of sport-related brain injury

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    Sport-related brain injury is very common, and the potential long-term effects include a wide range of neurological and psychiatric symptoms, and potentially neurodegeneration. Around the globe, researchers are conducting neuroimaging studies on primarily homogenous samples of athletes. However, neuroimaging studies are expensive and time consuming, and thus current findings from studies of sport-related brain injury are often limited by small sample sizes. Further, current studies apply a variety of neuroimaging techniques and analysis tools which limit comparability among studies. The ENIGMA Sports Injury working group aims to provide a platform for data sharing and collaborative data analysis thereby leveraging existing data and expertise. By harmonizing data from a large number of studies from around the globe, we will work towards reproducibility of previously published findings and towards addressing important research questions with regard to diagnosis, prognosis, and efficacy of treatment for sport-related brain injury. Moreover, the ENIGMA Sports Injury working group is committed to providing recommendations for future prospective data acquisition to enhance data quality and scientific rigor

    Linking Symptom Inventories using Semantic Textual Similarity

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    An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment

    Recent advances in catalytic hydrogenation of carbon dioxide

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    Practical Recommendations for Long-term Management of Modifiable Risks in Kidney and Liver Transplant Recipients

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    Flamingo regulates R8 axon-axon and axon-target interactions in the Drosophila visual system.

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    Photoreceptors (R cells) in the Drosophila retina connect to targets in three distinct layers of the optic lobe of the brain: R1-R6 connect to the lamina, and R7 and R8 connect to distinct layers in the medulla. In each of these layers, R axon termini are arranged in evenly spaced topographic arrays. In a genetic screen for mutants with abnormal R cell connectivity, we recovered mutations in flamingo (fmi). fmi encodes a seven-transmembrane cadherin, previously shown to function in planar cell polarity and in dendritic patterning. Here, we show that fmi has two specific functions in R8 axon targeting: it facilitates competitive interactions between adjacent R8 axons to ensure their correct spacing, and it promotes the formation of stable connections between R8 axons and their target cells in the medulla. The former suggests a general role for Fmi in establishing nonoverlapping dendritic and axonal target fields. The latter, together with the finding that N-Cadherin has an analogous role in R7 axon-target interactions, points to a cadherin-based system for target layer specificity in the Drosophila visual system

    Renal injury after uninephrectomy in male and female intrauterine growth-restricted aged rats.

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    Epidemiological studies report an inverse association between birth weight and risk for kidney disease that may differ between males and females, but studies investigating this association are limited. This study tested the hypothesis that male intrauterine growth-restricted offspring in a model of low birth weight induced by placental insufficiency in the rat exhibit enhanced renal injury in response to a persistent secondary renal insult while female growth-restricted offspring are protected. For this study, control offspring from sham-operated dams and growth-restricted offspring from reduced uterine perfusion dams underwent uninephrectomy or a sham procedure at 18 months of age. One month later, urinary markers of renal injury, renal function, and histological damage were measured. Results were analyzed using 2-way ANOVA. Male and female offspring were assessed separately. Proteinuria and urinary neutrophil gelatinase-associated lipocalin were significantly elevated in male growth-restricted offspring exposed to uninephrectomy when compared to male uninephrectomized control. Urinary kidney injury marker-1 was elevated in male uninephrectomized growth-restricted offspring relative to male sham growth-restricted but not to male uninephrectomized controls. Likewise, urinary neutrophil gelatinase-associated lipocalin was elevated in female uninephrectomized growth-restricted offspring but only when compared to female sham growth-restricted offspring. Markers of renal function including glomerular filtration rate and serum creatinine were impaired after uninephrectomy in female offspring regardless of birth weight. Histological parameters did not differ between control and growth-restricted offspring. Collectively, these studies suggest that both male and female growth-restricted offspring demonstrate susceptibility to renal injury following uninephrectomy; however, only male growth-restricted offspring exhibited an increase in renal markers of injury in response to uninephrectomy relative to same-sex control counterparts. These findings further suggest that urinary excretion of protein, kidney injury marker-1, and neutrophil gelatinase-associated lipocalin may be early markers of kidney injury in growth-restricted offspring exposed to a secondary renal insult such as reduction in renal mass

    Effect of inhaled iloprost on gas exchange in inhalation injury

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    Objective: Inhalation injury is an independent risk factor for mortality in burn patients. The purpose of this study was to observe the effect of inhaled iloprost on gas exchange in patients with inhalation injury and acute respiratory failure as measured by an improved PaO2/FiO2 ratio. Methods: Patients admitted to the burn intensive care unit from 2013 to 2014 meeting Berlin criteria for acute respiratory distress syndrome (ARDS) with a diagnosis of inhalation injury and who received inhaled iloprost were included. Medical records were reviewed to collect patient demographics, characterize iloprost prescribing practices, and observe changes in oxygenation and hemodynamic status after iloprost administration. Differences were evaluated using a t-test with cluster corrected standard errors. Results: A total of eight patients were included with 157 different PaO2/FiO2 ratios calculated. All patients had moderate or severe ARDS with a baseline PaO2/FiO2 ratio of 131.9 mmHg (IQR 119.3–197.3). Median duration of iloprost therapy was 5 days (IQR ± 7). A statistically significant increase in PaO2/FiO2 ratio was observed after iloprost administration with a mean increase of 9.7 mmHg (95% CI 1.8–17.7, p = 0.023). Inhaled iloprost had no effect on hemodynamic parameters. Conclusions: Inhaled iloprost for inhalation injury and ARDS after burn injury was associated with a small but statistically significant improvement in oxygenation. Keywords: Iloprost, Inhaled prostacyclin, Inhalation injur

    Multiple Peaks and a Long Precursor in the Type IIn Supernova 2021qqp: An Energetic Explosion in a Complex Circumsteller Environment

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    We present detailed optical photometry and spectroscopy of the Type IIn supernova (SN) 2021qqp. Its unusual light curve is marked by a long gradual brightening (i.e., precursor) for about 300 days, a rapid increase in brightness for about 60 days, and then a sharp increase of about 1.6 mag in only a few days to a first peak of Mr≈−19.5M_r\approx -19.5 mag. The light curve then turns over and declines rapidly, until it re-brightens to a second distinct and sharp peak with Mr≈−17.3M_r\approx -17.3 mag centered at about 335 days after the first peak. The spectra are dominated by Balmer-series lines with a complex morphology that includes a narrow component with a width of ≈1300\approx 1300 km s−1^{-1} (first peak) and ≈2500\approx 2500 km s−1^{-1} (second peak) that we associate with the circumstellar medium (CSM), and a P Cygni component with an absorption velocity of ≈8500\approx 8500 km s−1^{-1} (first peak) and ≈5600\approx 5600 km s−1^{-1} (second peak) that we associate with the SN-CSM interaction shell. Using the bolometric light curve and velocity evolution, we construct an analytical model to extract the CSM profile and SN properties. We find two significant mass-loss episodes with peak mass loss rates of ≈10\approx 10 M⊙_\odot yr−1^{-1} and ≈5\approx 5 M⊙_\odot yr−1^{-1} about 0.8 and 2 years before explosion, and a total CSM mass of ≈2−4 M⊙\approx 2-4\,M_\odot. We show that the most recent mass-loss episode can explain the precursor for the year preceding the explosion. The SN ejecta mass is constrained to be MSN≈5−30 M⊙M_{\rm SN}\approx 5-30\,M_\odot for an explosion energy of ESN≈(3−10)×1051 ergE_{\rm SN}\approx (3-10)\times10^{51}\,{\rm erg}. We discuss eruptive massive stars (luminous blue variable, pulsational pair instability) and an extreme stellar merger with a compact object as possible progenitor channels for generating the energetic explosion in the complex CSM environment.Comment: 20 pages, 7 figures, submitted to Ap
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