44 research outputs found

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    ABSTRACT: An accurate, precise and reproducible UV-spectrophotometric methods and liquid chromatographic assay method were developed and validated for the determination of Levofloxacin and Ornidazole in tablet dosage form. Spectrophotometric estimation was done by simultaneous equation method and 50 % methanol as solvent. In this method λmax for LEVO and OZ were selected at 293.5nm and 318nm. RP-HPLC analysis was carried out using Prontosil C-18 column (4.6 x 250mm, 5μ particle size) and mobile phase composed of Acetonitrile: 0.05 % Ortho-phosphoric acid in water pH 3.0 (45:55 % v/v)at a flow rate of 1.0 ml/min and chromatogram was recorded at 303 nm. Linearity was evaluated over the concentration range of 4-20 μg/ml and 8-40 μg/mL for LEVO and OZ in both UV spectrophotometric and RP-HPLC method (the value of r 2 Keywords

    <b>PRODUCTOMETRIC STUDY OF SCIENTISTS OF ICAR'S NATIONAL RESEARCH</b> <b>CENTRE FOR SOYBEAN (NRCS)</b>

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    11-21 Information personnel conduct studies on citation and bibliometric analysis for knowing the extent of utility of joumals, conference proceedings and other literature. In this study, productometric analysis of contributions of National Research Centre for Soybean, Indore, has been carried out for the period 1987 - 2001 in terms of number of research articles produced by its scientists. The study is based on a chronological documentation list prepared for the purpose along with author and subject indexes. Also analyses average number of papers per year, types of documents publishing the papers along with names of the journals, subject and language distribution. Authorship pattern is also studied in this paper. It also gives method of calculating score of individual authors, calculates their scores and rank orders. Concludes with strengths and weaknesses of soybean research in India. </smarttagtype

    A Scientometric Analysis And Assessment On Environmental Science Research Published By The Indian Academicians In Open Access Environment

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    India has also faced numerous environmental challenges, including air and water pollution, deforestation, and climate change. This study aims to evaluate and analyses the research contribution on environmental science in India for the last five years. The required bibliographic information is obtained from an online Scopus database. Material and Methods: This study is based on scientometric analysis of Indian environmental research, indexed in the Scopus database. The dataset is carefully examined in the Biblioshiny (using R-package bibliometrix) for analysis and VOSviewer for the visualization of the data. The exported data comprises of 3205 different documents published in open access environment under this study period was analysed using scientometric indicators and parameters. Results: The analysis evident that there is a steady growth of literature during this period with average annual growth rate is 30.53% and average citation per documents is 1232. It is also found that total 10649 numbers of keywords are used by the authors. The total number of author found in this study is 13579, among which single authors belong to 111 and co-author per document belongs to 5.55 and the International co-authorship is 38.1%. The findings of the study show that ‘Sustainability (Switzerland)’ journal at the top contributor in field of environmental research and the trendiest topics were environmental pollution, Covid-19, Plastic and Micro-plastic. These research evaluations are benefited to the scientific community, researchers, funding agency, and policymakers to utilise these results to take decisions and directives on environmental science research across the globe

    Lead–carbon hybrid ultracapacitors fabricated by using sulfur, nitrogen-doped reduced graphene oxide as anode material derived from spent lithium-ion batteries

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    The electrochemical-grade natural graphite flake prices are increasing day by day. Reusing and recycling graphite materials from the spent lithium-ion battery (LIB) is a prospective way to overcome the issue. This report presents the synthesis of reduced graphene oxide (RGO) from spent LIB by the improved Hummers method followed by calcination at 600 °C (RGO-600). S, N-RGO-600 was prepared by doping sulfur and nitrogen with RGO-600 through hydrothermal synthesis. Assynthesized S, N-RGO-600s have sheet-like morphology having uniform heteroatom doping. S- and N-doped RGO-600 delivers 375 F g−1 at 5 A g−1 compared to RGO-600 of 233 F g−1 and retains > 98% capacitance over 20,000 cycles. The lead–carbon hybrid ultracapacitors fabricated using in-situ activated PbO2 as cathode and S, N-RGO-600 composite electrode as anode deliver a specific capacitance of 564 F g−1 at 5 A g−1 and retain 90% capacitance after 15,000 cycles. The high capacitance and stable cycle life of RGO and S, N-RGO are due to easy access of electrolyte ions through mesoporous and layered graphitic carbons with redox-active functional moieties of sulfur and nitrogen. This work illustrates an easy and scalable synthesis root for RGO and S, N-RGO. Graphical abstract: [Figure not available: see fulltext.] © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature

    Synergies of co-infecting pathogens, sea lice (Lepeophetheirus salmonis) and Moritella viscosa, are impacted by exposure order, and host response to initial infection

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    Sea lice infestations and winter ulcer disease caused by Moritella viscosa are two major challenges for the Atlantic salmon (Salmo salar) aquaculture industry. Despite their common tropisms for the skin/muscle, we know very little about the interaction between these two significant pathogens. The objective of this study was to elucidate the transcriptomic response of Atlantic salmon to sea louse (Lepeophtheirus salmonis) and M. viscosa under single infection and different scenarios of co-infection (i.e., first, L. salmonis and then, M. viscosa and vice versa). After exposure, sampling was performed from the infestation site as well as the adjacent area on fish skin, followed by transcriptome analysis. RNA-seq analysis revealed that infection with either L. salmonis or M. viscosa induced a significant immune response from the skin and resulted in extensive transcriptomic changes. More differentially expressed genes (DEGs) were detected at M. viscosa lesion sites compared to L. salmonis attachment sites. In addition, the effect of the infection order was evaluated. Interestingly, we found that primary infection with lice was associated with a significantly higher number of DEGs during the co-infection process on fish skin compared to the fish first infected with M. viscosa (721 and 5336 DEGs from lice attachment and M. viscosa lesion sites, respectively, vs 291 and 3601 DEGs from lice attachment and M. viscosa lesion sites, respectively). We also found that lice infection caused localized effects on the skin of Atlantic salmon, while single infection with M. viscosa caused a moderate systemic impact and inhibited the tissue repair function of the skin, leading to severe ulceration. In addition, the C-type lectin receptor signaling pathway was drastically activated at the lice attachment sites during both lice alone- and co-infections, regardless of the order of infections, and similar results were observed in M. viscosa infection at both lesion and adjacent sites, indicating that this pathway played an essential role for immunity in Atlantic salmon. A more intense inflammatory and immune response was also observed at M. viscosa lesion sites. These results will promote our understanding of the immune interactions between L. salmonis and M. viscosa during the co-infection process and provide insights for the development of preventive and treatment strategies for these pathogens in salmonid aquaculture

    Equivalence of DES and AES Algorithm with Cellular Automata

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    In this paper we present the equivalence of the operations involved in DES and AES algorithm with operations of cellular automata. We identify all the permutation and substitution operations involved in DES and AES algorithm and compare these operations with the cellular automata rules. Then we find that permutation operations involved in DES and AES are equivalent to linear cellular automata rules providing diffusion property of cryptography whereas substitution operations involved in DES and AES are equivalent to non linear cellular automata rules providing the confusion property of cryptography. Hence instead of using operations involved in DES and AES algorithm, we can apply linear as well as non-linear cellular automata rules in cryptography for better security and parallel processing
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