12,189 research outputs found

    Prevalence of Ocular Morbidity Among School Adolescents of Gandhinagar District, Gujarat

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    Objective: To study the prevalence of ocular morbidity (abnormal condition) and various factors affecting it among school attending adolescents. Methods: A cross-sectional study was conducted to study abnormal ocular conditions like refractive errors, vitamin A deficiency, conjunctivitis, trachoma, ocular trauma, blephritis, stye, color blindness and pterygium among school adolescents of 10-19 years age in rural and urban areas of Gandhinagar district from January to July, 2009. Systematic sampling was done to select 20 schools having 6th to 12th standard education including 12 schools from rural and 8 from urban areas. Six adolescents from each age year (10-19) were selected randomly to achieve sample size of 60 from each school. In total, 1206 adolescents including 691 boys and 515 girls were selected. Information was collected from selected adolescents by using proforma. Visual acuity was assessed using a Snellen’s chart and all participants underwent an ophthalmic examination carried out by a trained doctor. Results: Prevalence of ocular morbidity among school adolescents was reported 13% (7.8% in boys, 5.6% in girls); with 5.2% have moderate visual impairment. Refractive error was most common ocular morbidity (40%) both among boys and girls. Almost 30% of boys and girls reported vitamin A deficiency in various forms of xerophthalmia. Prevalence of night blindness was 0.91% and of Bitot`s spot 1.74%. Various factors like, illiterate or lower parents’ education, lower socio-economic class and malnutrition were significantly associated with ocular morbidity. Conclusion: Ocular morbidity in adolescents is mainly due to refractive error, moderate visual impairment and xerophthalmia

    Expansive Actions of Automorphisms of Locally Compact Groups GG on SubG{\rm Sub}_G

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    For a locally compact metrizable group GG, we consider the action of Aut(G){\rm Aut}(G) on SubG{\rm Sub}_G, the space of all closed subgroups of GG endowed with the Chabauty topology. We study the structure of groups GG admitting automorphisms TT which act expansively on SubG{\rm Sub}_G. We show that such a group GG is necessarily totally disconnected, TT is expansive and that the contraction groups of TT and T1T^{-1} are closed and their product is open in GG; moreover, if GG is compact, then GG is finite. We also obtain the structure of the contraction group of such TT. For the class of groups GG which are finite direct products of Qp\mathbb{Q}_p for distinct primes pp, we show that TAut(G)T\in{\rm Aut}(G) acts expansively on SubG{\rm Sub}_G if and only if TT is expansive. However, any higher dimensional pp-adic vector space Qpn\mathbb{Q}_{p^n}, (n2n\geq 2), does not admit any automorphism which acts expansively on SubG{\rm Sub}_G.Comment: 18 page

    Analytical Cost Metrics : Days of Future Past

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    As we move towards the exascale era, the new architectures must be capable of running the massive computational problems efficiently. Scientists and researchers are continuously investing in tuning the performance of extreme-scale computational problems. These problems arise in almost all areas of computing, ranging from big data analytics, artificial intelligence, search, machine learning, virtual/augmented reality, computer vision, image/signal processing to computational science and bioinformatics. With Moore's law driving the evolution of hardware platforms towards exascale, the dominant performance metric (time efficiency) has now expanded to also incorporate power/energy efficiency. Therefore, the major challenge that we face in computing systems research is: "how to solve massive-scale computational problems in the most time/power/energy efficient manner?" The architectures are constantly evolving making the current performance optimizing strategies less applicable and new strategies to be invented. The solution is for the new architectures, new programming models, and applications to go forward together. Doing this is, however, extremely hard. There are too many design choices in too many dimensions. We propose the following strategy to solve the problem: (i) Models - Develop accurate analytical models (e.g. execution time, energy, silicon area) to predict the cost of executing a given program, and (ii) Complete System Design - Simultaneously optimize all the cost models for the programs (computational problems) to obtain the most time/area/power/energy efficient solution. Such an optimization problem evokes the notion of codesign

    Third order differential subordination and superordination results for analytic functions involving the Srivastava-Attiya operator

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    In this article, by making use of the linear operator introduced and studied by Srivastava and Attiya \cite{srivastava1}, suitable classes of admissible functions are investigated and the dual properties of the third-order differential subordinations are presented. As a consequence, various sandwich-type theorems are established for a class of univalent analytic functions involving the celebrated Srivastava-Attiya transform. Relevant connections of the new results are pointed out.Comment: 16. arXiv admin note: substantial text overlap with arXiv:1809.0651
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