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G. N. Raval L. J. Parekh D. D. Patel F. P. Jha R. N. Sainger P. S. Patel 《Indian journal of clinical biochemistry : IJCB》2004,19(2):60-71
Sialic acid, the end moieties of the carbohydrate chains are biologically important and essential for functions of glycoconjugates
and are reported to be altered in cancer patients. Two hundred and twenty five breast cancer (BC) patients, 100 patients with
benign breast disease (BBD) and 100 healthy females (controls) were enrolled for the study. Eight hundred and twenty four
follow-up samples of 225 breast carcinoma patients were also evaluated. The association of sialic acid forms, sialyltransferase
and α-2–6 sialoproteins levels with presence and extent as well as prognosis of breast carcinoma was studied. Serum sialic
acid forms and sialyltransferase revealed significantly elevated levels among untreated breast cancer patients as compared
to the controls, patients with BBD as well as cancer patients in remission. Non-responders showed comparable levels of the
markers with those found in breast cancer patients at the time of diagnosis. Higher levels of sialic acid forms at diagnosis
were associated with poor prognosis. A positive correlation between serum levels of different forms of sialic acids and extent
of malignant disease was observed. The changes in serum proteins with terminal α-2–6 sialic acid correlated well with alterations
in the levels of sialic acid forms and sialyltransferase. Malignant tissues showed elevated levels of sialic acid and sialyltransferase
as compared to surrounding normal tissues.
The results suggested potential utility of these markers in evaluation of clinical outcome. 相似文献
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Puja kumari Jha Nirupama Sharma Juhee Chandra Rachna Agarwal 《Indian journal of clinical biochemistry : IJCB》2021,36(3):337
Variability in analytical performance of some analyte indicated the need of evaluation of quality plan of our laboratory. We tried to put the same degree of effort into our quality metrics as we put into the laboratory processes themselves. Application of six sigma methodologies improve the quality by focusing on the root causes of the problems in performance and analyzing by flowcharts, fishbone diagrams and other quality tools. Sigma metric was calculated for laboratory parameters for a period of 8 months during 2018–19. The analytes with poor sigma metric were free Thyroxine (FT3, FT4), Sodium, Calcium and Magnesium. Sigma metric of free Thyroxine (FT3, FT4), Sodium, Calcium and Magnesium were below 3. A road map for process improvement was designed with DMAIC (Define-Measure-Analyze-Improve-Control) model to solve the issue. Possible causes for low analytical performance of the particular analytes were depicted in Fishbone diagram. The Fishbone analysis identified the water quality issues with electrolyte analysis while high ambient temperature was culprit for poor assay performance of free Thyroxine. Sigma metric of the analytical performance was assessed once again after root cause analysis. Sigmametric showed marked improvement in control phase. Identification of problems led to reduction in non value added work leading to adequate resource utilization by addressing the priority issue. Therefore, DMAIC tool with Fish bone model analysis can be recommended as a well suited method for troubleshooting in poor performance of laboratory parameter. 相似文献
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Pragati Priyadarshinee Rakesh D. Raut Manoj Kumar Jha Sachin S. Kamble 《The Journal of High Technology Management Research》2017,28(2):221-245
The purpose of this research article is to identify the critical success criteria/factors that affect the cloud computing adoption and examine structure, reliability and validity of the criteria in the SMEs industry. This study considers nine types of criteria/factors with fifty-one sub-criteria, which have somewhat previously been used, and creates a ranking model that offers decision makers to measure the prior implementation of cloud computing adoption. A questionnaire-based survey research was used to collect data from 110 firms belonging to the SMEs industry in India. In this paper, the data collected was analysed by an integrated approach. Firstly, an Analytic Hierarchy Process approach was applied to find the significant fact of each criterion as the assessable indices of the cloud computing adoption. Secondly, an Exploratory Factor Analysis and Confirmatory Factor Analysis were used to examine structure, reliability and validity of the criteria. The data was tabulated in a Microsoft Excel sheet and then imported in SPSS (Statistical Package for the Social Sciences version 20) for analysis. The findings discovered that ‘Security and Privacy’, ‘Organizational Risk’, ‘Sharing and Collaboration’, ‘Confidentiality’, and ‘Integrity’ have a major effect on the adoption of cloud computing. The research was conducted in the SMEs industry in India, which may limit the generalizability of the findings. The findings and recommendations offer cloud computing service providers as well as users with a better understanding of what affects the cloud computing adoption feature, with a relevant understanding of the current scenario. The research aided in the application of the new technology of cloud computing adoption in the SMEs industry in India through the use of a wide range of criteria. The findings also help organizations study their information technology investments when applying cloud computing. 相似文献
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The white spot syndrome virus (WSSV) is one of the deadly pathogens of penaeid shrimps and other crustaceans. The WSSV virion
consists of an enveloped rod-shaped nucleocapsid enclosing a large circular double stranded DNA genome of 305 Kb with 181
open reading frames. The two major structural genes, VP19 and VP28 were amplified from the genomic DNA of Chinese isolate
of WSSV and cloned in pUCm-T vector and sub cloned in pET-30a (+) vector. The expressions of genes inE. coli (BL21) were confirmed by SDS-PAGE analysis. The clones were sequenced, submitted to the gene bank and the Xiang Shan strain
of WSSV were compared with the previous reported sequence of WSSV of various regions which revealed that VP19 and VP28 gene
sequences had certain differences from the sequences of similar genes of the isolate already reported. The recombinant proteins
expressed, purified and characterized. 相似文献
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This paper presents a novel dynamic stochastic resonance (DSR)-based technique for robust extraction of a grayscale logo from a tampered watermarked image. The watermark embedding is done on the singular values (SV) of the discrete cosine transform (DCT) coefficients of the cover image. DSR is then strategically applied during the logo extraction process where the SV of DCT coefficients are tuned following a double-well potential model by utilizing the noise introduced during attacks. The resilience of this technique has been tested in the presence of various noises, geometrical distortions, enhancement, compression, filtering and watermarking attacks. The proposed DSR-based technique for logo extraction gives noteworthy robustness without any significant trade-off in perceptual transparency of the watermarked image. A maximization approach has been adopted for the selection of bistable double-well parameters to establish noise-enhanced resonance. When compared with existing watermark extraction techniques based in SVD, DCT, SVD-DCT domains, as well as with their combination with DSR, the results suggest that remarkable improvement of robustness is achieved by using DSR on singular values of DCT. 相似文献
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Acoustic radiation forces have been used to manipulate cells and bacteria in a number of recent microfluidic
applications. The net force on a cell has been subject to careful investigation over a number of decades. We
demonstrate that the radiation forces also act to deform
cells. An
ultrasonic standing
wave field is created in a
0.1 mm glass capillary at a frequency of 7.9 MHz. Using osmotically swollen red-blood cells, we show observable
deformations up to an aspect
ratio of 1.35, comparable to deformations created by optical tweezing. In contrast to optical technologies,
ultrasonic devices are
potentially capable of deforming thousands of cells simultaneously. We create a finite element model that includes both the acoustic
environment of the cell, and a model of the cell
membrane subject to forces resulting from the non-linear aspects of the acoustic
field. The model is found to
give reasonable agreement with the experimental results, and shows that the deformation is the result of variation in
an acoustic force that is directed outwards at all points on the cell membrane. We foresee applications in
diagnostic devices, and in the possibility of mechanically stimulating cells to promote differentiation and
physiological effects. 相似文献
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