269 research outputs found

    Management of True Vaginal Prolapse in Bitch

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    True vaginal prolapse is a rare condition in bitch. It occurs majorly following parturition or during estrogen risei.e during estrous phase of the cycle. A two year old Grey Hound female was presented with true vaginal prolapse. The prolapse mass was largeandhyperemic. By reducing the size and with bilateral pressure we reposed the mass in. Modified Buhner sutures were applied. Hormonal therapy using HCG were given for four days. The bitch recovered eventually

    A case of Dystocia due to Fetal Ascites in Murrah Buffalo

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    Dystocia in buffalo due to fetal causes is not common. However there are reports suggesting dystocia due to dropsical condition of fetus. Present case reports one of the fetal dropsical conditions in buffalo. In this case we report a successful management of dystocia due to fetal ascites in Murrah buffalo by incising the fetal abdomen to take out the fluid from peritoneum

    Spontaneous polarization and rotational viscosity measurements on ferroelectric liquid crystals derived from trans-p-n-alkoxycinnamic acids

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    We report here the results of systematic measurements of spontaneous polarization and rotational viscosity on four structurally related homologous series derived from trans-p-n-alkoxycinnamic acids. The influence of alkyl chain length on the magnitude and temperature dependence of the polarization, and the effect of subtle structural changes on the rotational viscosity are discussed

    Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

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    Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in detecting cloning and region removal. In this paper, we combine these complementary approaches in a way that boosts the overall accuracy of image manipulation detection. We use the copy-move detection method as a pre-filtering step and pass those images that are classified as untampered to a deep learning based resampling detection framework. Experimental results on various datasets including the 2017 NIST Nimble Challenge Evaluation dataset comprising nearly 10,000 pristine and tampered images shows that there is a consistent increase of 8%-10% in detection rates, when copy-move algorithm is combined with different resampling detection algorithms

    On 2-D Non-Adjacent-Error Channel Models

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    Abstract-In this work, we consider two-dimensional (2-D) binary channels in which the 2-D error patterns are constrained so that errors cannot occur in adjacent horizontal or vertical positions. We consider probabilistic and combinatorial models for such channels. A probabilistic model is obtained from a 2-D random field defined by Roth, Siegel and Wolf (2001). Based on the conjectured ergodicity of this random field, we obtain an expression for the capacity of the 2-D non-adjacenterrors channel. We also derive an upper bound for the asymptotic coding rate in the combinatorial model

    ANALYSIS OF PATIENT ADMISSIONS IN HOSPITAL DUE TO ADVERSE DRUG REACTION

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    The present study is prospective and observational non-interventional study was conducted in tertiary care center. All suspected ADRs which are observed in hospital stay will be assessed for causality, severity, preventability and predictability. The results were presented as number and percentage. Among the 7697 cases ( both males and females), a total of 240 ADRs were detected, an overall incidence of 03.11 % adverse drug reactions in inpatients. The high prevalence of ADR mostly observed in the age group between 1-10 years 48 (20.00%)  From this 240 ADR’s where 7.96% on continuing t, 38.36% are recovering, 47.08% are recovered. Keywords: Adverse drug reaction, Causality, Severity, Preventability, Probability
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