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Search Results: 1 - 10 of 143450 matches for " K. Sadasiva Rao "
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Therapeutic efficacy of natural prostaglandin in the treatment of pyometra in bitches
Basanti Jena,K. Sadasiva Rao,K. C. S. Reddy,K. B. P. Raghavender
Veterinary World , 2013, DOI: 10.5455/vetworld.2013.295-299
Abstract: Aim: The current study was done to study the therapeutic effect of natural prostaglandin in treatment of canine pyometra. Materials and Methods: Seven bitches were treated with natural PGF2 á i.e. dinoprost tromethamine at the dose rate of 100 μg/kg body weight subcutaneously once daily for 7 days with supportive therapies. The physiological, haematological and biochemical parameters were studied before (0th day) and after treatment (8th day). Therapeutic efficacy was assessed in terms of return of abnormal parameters to either normal or near normal value as compared to the untreated control group, intensity of side effects and post treatment reproductive status. Results: All physiological, haematological and biochemical parameters in the seven treated bitches returned to normal range at the end of treatment. The intensity of side effects was quite severe in the treatment group. Six bitches came to estrus within 2 months of treatment and out of them four conceived on subsequent mating. In rest three bitches there was recurrence of pyometra within 4 months of treatment. Conclusion: Though conception rate of recovered bitches is decreased when compared with that of normal healthy bitches still this treatment protocol can be used successfully in treatment of canine pyometra to conserve the breeding capability of bitches. [Vet World 2013; 6(6.000): 295-299]
Comparing Imputation Procedures for Affymetrix Gene Expression Datasets Using MAQC Datasets
Sreevidya Sadananda Sadasiva Rao,Lori A. Shepherd,Andrew E. Bruno,Song Liu,Jeffrey C. Miecznikowski
Advances in Bioinformatics , 2013, DOI: 10.1155/2013/790567
Abstract: Introduction. The microarray datasets from the MicroArray Quality Control (MAQC) project have enabled the assessment of the precision, comparability of microarrays, and other various microarray analysis methods. However, to date no studies that we are aware of have reported the performance of missing value imputation schemes on the MAQC datasets. In this study, we use the MAQC Affymetrix datasets to evaluate several imputation procedures in Affymetrix microarrays. Results. We evaluated several cutting edge imputation procedures and compared them using different error measures. We randomly deleted 5% and 10% of the data and imputed the missing values using imputation tests. We performed 1000 simulations and averaged the results. The results for both 5% and 10% deletion are similar. Among the imputation methods, we observe the local least squares method with is most accurate under the error measures considered. The k-nearest neighbor method with has the highest error rate among imputation methods and error measures. Conclusions. We conclude for imputing missing values in Affymetrix microarray datasets, using the MAS 5.0 preprocessing scheme, the local least squares method with has the best overall performance and k-nearest neighbor method with has the worst overall performance. These results hold true for both 5% and 10% missing values. 1. Introduction In microarray experiments, randomly missing values may occur due to scratches on the chip, spotting errors, dust, or hybridization errors. Other nonrandom missing values may be biological in nature, for example, probes with low intensity values or intensity values that may exceed a readable threshold. These missing values will create incomplete gene expression matrices where the rows refer to genes and the columns refer to samples. These incomplete expression matrices will make it difficult for researchers to perform downstream analyses such as differential expression inference, clustering or dimension reduction methods (e.g., principal components analysis), or multidimensional scaling. Hence, it is critical to understand the nature of the missing values and to choose an accurate method to impute the missing values. There have been several methods put forth to impute missing data in microarray experiments. In one of the first papers related to microarrays, Troyanskaya et al. [1] examine several methods of imputing missing data and ultimately suggest a -nearest neighbors approach. Researchers also explored applying previously developed schemes for microarrays such as the nonlinear iterative partial least
Particle Horizons in Cosmology  [PDF]
K. Purnachandra Rao
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.49162

The importance of investigating particle horizons in order to interpret a cosmological solution of Einstein’s field equations has been described. We have presented the formula and studied the particle horizons in some of the cosmological models presented in our earlier papers. It is well known that the Friedman-Robertson-Walker (F-R-W) models, the energy density of the free gravitational field denoted by ε, equivalently denoted by MacCallum parameter ξ, vanishes but the particle horizons exist and thus the former has no bearing on the latter. However, we have shown in our models presented herein that ε is related with particle horizons. Further, it is shown that as ε grows, the segment of the corresponding particle horizon decreases and thus the radius of the corresponding visible universe decreases.

A Validated Stability-Indicating UHPLC Method for Determination of Naproxen and Its Related Compounds in Bulk Drug Samples  [PDF]
K. Tirumala Rao, L. Vaikunta Rao
American Journal of Analytical Chemistry (AJAC) , 2013, DOI: 10.4236/ajac.2013.46036

A simple, rapid, precise, accurate, rugged and robust stability-indicating ultra-fast high performance liquid chromatographic (UHPLC) method has been developed for the estimation of related compounds (imp-A, imp-B, imp-C, imp-D and imp-E) in Naproxen and also the assay of Naproxen from bulk drug samples. The stability indicating capability of the method was proven by subjecting the samples to stress conditions such as acid, base, oxidation, photolysis and thermal degradation. The efficient chromatographic separation was achieved using mobile phase solution A prepared as buffer solution 10 mM monobasic potassium phosphate pH 4.0 ± 0.05 adjusted with diluted ortho phosphoric acid solution and solution B acetonitrile with linear gradient elution on poroshell 120 EC-C18 shot column (50 mm × 4.6 mm, 2.7 μm) and UV detection at 235 nm at a flow rate 1.0 mL/min, column oven temperature was set to 25?C. The above are all known impurities and degradation impurities are well resolved with Naproxen peak and these are eluted within a 10 min runtime of HPLC. The photo diode array detector was used for peak homogeneity testing during stress study experiments and the overall mass balance was found to be 99.2% to 100.2% in all stress conditions. The linear calibration range was found to be 0.05 μg/mL to 0.75 μg/mL for related compounds and 50 μg/mL to 150 μg/mL for Naproxen and the accuracy of the method was found to be 91.5% to 98.5% recovery for the related substance method and 95.4% to 97.4% recovery for the assay method. The Naproxen and related compounds were found to be stable up to 48 hours and the method validation data show excellent results for precision, linearity, specificity, limit of detection, limit of quantitation and robustness. The present method can be successfully used for routine QC and stability studies and it will help to

Optic neuritis and ophthalmoplegia caused by snake bite
Rao K
Indian Journal of Ophthalmology , 1981,
Speech Enhancement Using Cross-Correlation Compensated Multi-Band Wiener Filter Combined with Harmonic Regeneration  [PDF]
Venkata Rama Rao, Rama Murthy, K. Srinivasa Rao
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.22016
Abstract: The speech signal in general is corrupted by noise and the noise signal does not affect the speech signal uniformly over the entire spectrum. An improved Wiener filtering method is proposed in this paper for reducing background noise from speech signal in colored noise environments. In view of nonlinear variation of human ear sensibility in frequency spectrum, nonlinear multi-band Bark scale frequency spacing approach is used. The cross-correlation between the speech and noise signal is considered in the proposed method to reduce colored noise. To overcome harmonic distortion introduced in enhanced speech, in the proposed method regenerate the suppressed harmonics are regenerated. Objective and subjective tests were carried out to demonstrate improvement in the perceptual quality of speeches by the proposed technique.
Clinical study of proptosis
Rao K,Rao K,Rao M,Rao B
Indian Journal of Ophthalmology , 1982,
Role of aspirin in cataract surgery
Chinnayya Rao K,Rao M
Indian Journal of Ophthalmology , 1985,
Improved Routing Protocol for Health Care Communications  [PDF]
Jayanthi K. Murthy, V. Sambasiva Rao
Open Journal of Applied Biosensor (OJAB) , 2013, DOI: 10.4236/ojab.2013.22006
Abstract: Wireless Body Area Network (WBAN) technology has significantly increased the potential of remote healthcare monitoring systems. The devices used for WBAN have limited energy resources. For most devices it is impossible to recharge or change the batteries. Since the data mostly consists of medical information, high reliability and low delay is required. The main objective of this simulation study is to evaluate the performance of routing protocol on static IEEE 802.15.4 to determine the most suitable routing protocol for Wireless Body Area Networks. Here, investigations on the various routing protocol suggest cluster topology and AODV as the probable candidate. About 16% improvement in the energy consumption was observed when modifications were made considering the energy and mobility, thus achieving high residual battery capacity and eliminating the need for recharging the batteries.
Manpower Systems Operating under Heavy and Light Tailed Inter-Exit Time Distributions  [PDF]
R. Sivasamy, P. Tirupathi Rao, K. Thaga
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.52029

This paper considers a Manpower system where exits of employed personnel produce some wastage or loss. This system monitors these wastages over the sequence of exit epochs {t0 = 0 and tk; k = 1, 2,…} that form a recurrent process and admit recruitment when the cumulative loss of man hours crosses a threshold level Y, which is also called the breakdown level. It is assumed that the inter-exit times Tk = tk-1 - tk, k = 1, 2, are independent and identically distributed random variables with a common cumulative distribution function (CDF) B(t) = P(Tk < t) which has a tail 1 B(t) behaving like t-v with 1 < v < 2 as t . The amounts {Xk} of wastages incurred during these inter-exit times {Tk} are independent

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