297 research outputs found

    Osteolipoma of buccal mucosa: case report and literature review

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    Osteolipoma affecting oral cavity is indeed rare. We hereby report a case of osteolipoma affecting buccal mucosa. A review of literature of osteolipoma of oral cavity, particularly on radiographic/imaging findings was done. Only 16 cases of Osteolipoma of oral cavity are reported in the literature. The radiographic findings of our case, i.e. multiple dense homogenous radio-opaque structures was reported earlier only in one case [out of 16] of osteolipoma of oral cavit

    Face Verification with Veridical and Caricatured Images using Prominent Attributes

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    Caricatures, with their exaggerated features, offer a surprisingly efficient means for individuals to recognize each other compared to veridical (real) images. However, it is still a difficult task in machine learning to match veridical images to caricatures. This is due to the poor quality of caricature datasets, which often lack clear labels and contain low-quality images. Widely utilized veridical image datasets like CelebA also suffer from inadequate labeling. These label inconsistencies pose significant issues in accurate face verification tasks. Moreover, the effectiveness of neural networks has led to a shift in focus away from attribute-based representations, further complicating the matching process. In this thesis, we introduce a classification protocol for prominent facial feature recognition along with a verification protocol for matching celebrity veridical images to their caricatures. We utilize CarVer, a recently curated dataset comprising both veridical and caricature images accompanied by detailed prominent feature labels

    Ankyloglossia- Detailed Review with a Case Report

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    Ankyloglossia is derived from Greek terms skolios (curved) and glossa (tongue). Ankyloglossia or tongue-tie is a congenital condition that results due to abnormal attachment between the tongue and floor of the mouth, leading to an abnormally short tongue. Several problems are associated with ankyloglossia. Since there is never an accepted standard criterion nor clinically practical criteria for diagnosing the condition; proper defining of the term is necessary before contemplating whether to treat or not to treat. In children, ankyloglossia is asymptomatic in many cases. As growth occurs condition resolves spontaneously, or in some mild cases children may learn compensatory mechanisms to counteract decreased lingual mobility. Frenotomy/ frenectomy are an effective treatment for ankyloglossia

    Application of STATCOM for improved dynamic performance of wind farms in a power grid

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    This thesis investigates the use of a Static Synchronous Compensator (STATCOM) along with wind farms for the purpose of stabilizing the grid voltage after grid-side disturbances such as a three phase short circuit fault, temporary trip of a wind turbine and sudden load changes. The strategy focuses on a fundamental grid operational requirement to maintain proper voltages at the point of common coupling by regulating voltage. The DC voltage at individual wind turbine (WT) inverters is also stabilized to facilitate continuous operation of wind turbines during disturbances --Abstract, page iii

    Hardware-Accelerated ECG-Based True Random Number Generator

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    Developing and proving the effectiveness of ECG-based TRNGs for use in cryptography applications related to implantable medical devices (IMDs) offers a novel approach to securing IMDs. Current ECG-based True Random Number Generators (TRNGs) are software orientated and computationally heavy with hardware implementations being suggested as one possible solution to make such TRNGs useful for the medical device industry. Hardware offers the opportunity to increase power efficiency through algorithmic optimization while maintaining device security. In this paper, we use Verilog design and FPGA simulation tools to demonstrate the potential for hardware-accelerated ECG-based TRNGs for use in low power cryptographic applications. This is achieved by building an ECG-based TRNG with five functional blocks: noise extraction, storage of unique data, memory control, Lift and Shift, and data output. The Lift and Shift portion of the algorithm is the foundation of our TRNG and is critical to the operation and effectiveness of our solution through the use of a hash function, matrix mixer, and barrel shifters. Our experiments show that hardware implementations of ECG-based TRNGs are possible and practical with higher bit rate outputs than similar python-based solutions and the potential for desirable power efficiency. Further verification of our TRNGs randomness is to be completed with industry-accepted and national governing body-approved statistical test suites. We believe that an FPGA design allows for computational efficiency for ECG-based TRNGs when compared to software approaches while maintaining cryptographic security. This will be critical to ensuring IMD device security while maintaining the necessary ten-plus-year lifespan of such devices

    High Rate of Microbleed Formation Following Primary Intracerebral Hemorrhage

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    Background We sought to investigate the frequency of microbleed development following intracerebral hemorrhage in a predominantly African-American population and to identify predictors of new microbleed formation. Aims and/or hypothesis To investigate the frequency and predictors of new microbleeds following intracerebral hemorrhage. Methods The DECIPHER study was a prospective, longitudinal, magnetic resonance-based cohort study designed to evaluate racial/ethnic differences in risk factors for microbleeds and to evaluate the prognostic impact of microbleeds in this intracerebral hemorrhage population. We evaluated new microbleed formation in two time periods: from baseline to 30 days and from 30 days to year 1. Results Of 200 subjects enrolled in DECIPHER, 84 had magnetic resonance imaging at all required time points to meet criteria for this analysis. In the baseline to day 30 analysis, 11 (13·1%) had new microbleeds, compared with 25 (29·8%) in the day 30 to year 1 analysis. Logistic regression analysis demonstrated that baseline number of microbleeds [odds ratio 1·05 (95% confidence interval 1·01, 1·08), P = 0·01] was associated with new microbleed formation at 30 days. A logistic regression model predicting new microbleed at one-year included baseline number of microbleeds [odds ratio 1·05 (1·00, 1·11), P = 0·046], baseline age [odds ratio 1·05 (1·00, 1·10), P = 0·04], and white matter disease score [odds ratio 1·18 (0·96, 1·45). P = 0·115]. Overall, 28 of 84 (33·3%) intracerebral hemorrhage subjects formed new microbleeds at some point in the first year post-intracerebral hemorrhage. Conclusions We found that one-third of intracerebral hemorrhage subjects in this cohort surviving one-year developed new microbleeds, which suggests a dynamic and rapidly progressive vasculopathy. Future studies are needed to examine the impact of new microbleed formation on patient outcomes

    Comparison of NiMH and Li-Ion Batteries in Automotive Applications

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    The pressing need to decrease the greenhouse gases and to improve the efficiency of the existing fleet of vehicles it is imperative that they use some cleaner energy to run the vehicle. Electrical energy can be used in addition with gasoline used by the internal combustion engine of a conventional vehicle to supplement the incremental demand of power above the average power required by the vehicle. This requires for an on-board energy storage system and batteries like NiMH and Li-ion have proven to be efficient storage devices. This paper provides a comprehensive comparison of these batteries used in hybrid electric and plug-in hybrid electric vehicles
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