89 research outputs found

    Multimodal Imaging in a Case of Localized Suprachoroidal Hemorrhage

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    Purpose: To report a case of localized suprachoroidal hemorrhage presenting as a choroidal mass. Case Report: A 66-year-old lady presented with sudden onset pain in the right eye, one week following uneventful cataract surgery. The best corrected visual acuity (BCVA) was 20/160 and fundus examination showed a brown elevated choroidal mass temporal to the fovea in the right eye with normal retina and retinal vessels over it. The differential diagnoses considered were choroidal granuloma, melanoma, choroidal hemangioma, posterior scleritis, and localized suprachoroidal haemorrhage (SCH). Fluorescein angiography (FA) and indocyanine green (ICG) angiography were unremarkable except for mild disc leakage; B-scan showed a choroidal mass with high surface reflectivity and low internal reflectivity, and OCT showed an elevation of retinochoroidal complex with hyporeflective mass in the outer choroid with choroidal folds suggestive of SCH. Her systemic evaluation showed raised ESR and consolidation in the upper lobe of the right lung. The patient did not take any additional treatment for her eye and the lesion regressed and visual acuity improved to 20/30 in one month. Conclusion: Delayed spontaneous suprachoroidal hemorrhage can present as a choroidal mass. Multimodal imaging helps to differentiate it from other sight-threatening and life-threatening ocular diseases

    Aerometric monitoring system for pollution control

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    Air quality monitoring and analysis is needed in order to provide decision makers with reliable information about the pollution situation so that they can take appropriate measures to mitigate or prevent negative impacts whenever there is need. World Health Organization (WHO) has recently announced that air pollution is carcinogenic to humans. The results from the reviewed studies point in the same direction: the risk of developing lung cancer hss significantly increased in people exposed to air pollution. This finding elevates the urgency to create awareness among common people about the air, both outdoors and indoors. In our project "Aerometric Monitoring System for Pollution Control”, we use a device that consists of a cluster of sensors that are used to sense atmospheric characteristics continuously. Atmospheric characteristics include Temperature, Humidity, Gas index indicating presence of poisonous gases etc. Several such devices can be deployed in places where we need to estimate air pollution. This covers public domains like bus stands, railway stations, junctions etc. and private domains like households, small scale industries and so on. The aggregated data collected by these devices are uploaded to the Internet using IoT platform by establishing a connection. The data is then displayed on the IoT platform along with various graphical representations. This enables the public to access the data anywhere, any time

    Capacitor-Less VAR Compensator Based on a Matrix Converter

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    Reactive power, denoted as volt-ampere reactive (VARs), is fundamental to ac power systems and is due to the complex impedance of the loads and transmission lines. It has several undesirable consequences which include increased transmission loss, reduction of power transfer capability, and the potential for the onset of system-wide voltage instability, if not properly compensated and controlled. Reactive power compensation is a technique used to manage and control reactive power in the ac network by supplying or consuming VARs from points near the loads or along the transmission lines. Load compensation is aimed at applying power factor correction techniques directly at the loads by locally supplying VARs. Typical loads such as motors and other inductive devices operate with lagging power factor and consume VARs; compensation techniques have traditionally employed capacitor banks to supply the required VARs. However, capacitors are known to have reliability problems with both catastrophic failure modes and wear-out mechanisms. Thus, they require constant monitoring and periodic replacement, which greatly increases the cost of traditional load compensation techniques. This thesis proposes a reactive power load compensator that uses inductors (chokes) instead of capacitors to supply reactive power to support the load. Chokes are regarded as robust and rugged elements; but, they operate with lagging power factor and thus consume VARs instead of generating VARs like capacitors. A matrix converter interfaces the chokes to the ac network. The matrix converter is controlled using the Venturini modulation method which can enable the converter to exhibit a current phase reversal property. So, although the inductors draw lagging currents from the output of the converter, the converter actually draws leading currents from the ac network. Thus, with the proposed compensation technique, lagging power factor loads can be compensated without using capacitor banks. The detailed operation of the matrix converter and the Venturini modulation method are examined in the thesis. The application of the converter to the proposed load compensation technique is analyzed. Simulations of the system in the MATLAB and PSIM environments are presented that support the analysis. A digital implementation of control signals for the converter is developed which demonstrates the practical feasibility of the proposed technique. The simulation and hardware results have shown the proposed compensator to be a promising and effective solution to the reliability issues of capacitor-based load-side VAR compensation techniques

    Faecal bifidobacteria in Indian neonates & the effect of asymptomatic rotavirus infection during the first month of life

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    Background & objectives: Bifidobacteria colonize the gut after the first week of life and remain an important component of the gut microbiota in infancy. This study was carried out to characterize the diversity and number of bifidobacteria colonizing the gut in Indian neonates and to investigate whether asymptomatic infection with rotavirus in the first month of life affected gut colonization by bidifobacteria. Methods: DNA was isolated from faeces of 14 term-born neonates who were under surveillance for rotavirus infection. Bacterial and bifidobacterial diversity was evaluated by temporal temperature gradient electrophoresis (TTGE) of 16S rDNA amplified using total bacteria and bifidobacteria-specific primers. Real time PCR, targeting 16S rDNA, was used to quantitate faecal bifidobacteria and enterobacteria. Results: TTGE of conserved bacterial 16S rDNA showed 3 dominant bands of which Escherichia coli (family Enterobacteriaceae) and Bifidobacterium (family Bifidobacteriaceae) were constant. TTGE of Bifidobacterium genus-specific DNA showed a single band in all neonates identified by sequencing as Bifidobacterium longum subsp. infantis. Faecal bifidobacterial counts (log10 cfu/g faeces) ranged from 6.1 to 9.3 and enterobacterial counts from 6.3 to 9.5. Neonates without and with rotavirus infection in the first week of life did not show significant differences in the median count of bifidobacteria (log10 count 7.48 vs. 7.41) or enterobacteria (log10 count 8.79 vs. 7.92). Interpretation amp; conclusions: B. longum subsp. infantis was the sole bifidobacterial species colonizing the gut of Indian neonates. Asymptomatic rotavirus infection in the first month of life was not associated with alteration in faecal bifidobacteria or enterobacteria

    Profile Closeness in Complex Networks

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    We introduce a new centrality measure, known as profile closeness, for complex networks. This network attribute originates from the graph-theoretic analysis of consensus problems. We also demonstrate its relevance in inferring the evolution of network communities. Keywords: Complex networks, Centrality, Community, Median, Closeness, Consensus theor
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