915 research outputs found

    Sharma, Nisha

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    Effects of Environmental Pollutants in Plants: Sulfadiazine and Perfluoroalkyl Substances

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    There are many chemical contaminants, which are extremely dangerous to humans, animals and plants. Among many, here in my study, I chose two man-made chemical pollutants (SDZ and PFAAs) which are widely used by human beings directly and indirectly. Sulfadiazine (SDZ), belonging to the class of sulfonamides, is one of the most detected antibiotics in the agricultural soil. The effect of SDZ on the growth, changes in antioxidant metabolite content and enzyme activities related to oxidative stress were analyzed. Moreover, the proteome alterations in Arabidopsis thaliana roots in response to SDZ was examined using a combined iTRAQ-LC-MS/MS quantitative proteomics approach. A dose-dependent decrease in leaf biomass and root length was evidenced in response to SDZ. Increased malondialdehyde content at higher concentration (2 μM) of SDZ was observed compared to control. In total, 48 differentially abundant proteins related to stress/stimuli response followed by transcription and translation, metabolism, transport and other functions were identified. Another category of the chemical pollutants was perfluoroalkyl acids (PFAAs), on which a large number of studies are ongoing due to its characteristics and harmful effects on humans, animals and plants. The young rooted cuttings of Salix L. species exposed to the PFAA mixture tended to show a decline in the growth rate after 2 days of treatment. Regarding photosynthesis, the gas exchange parameters were affected more than those related to chlorophyll fluorescence. A decreasing trend in the PFAA concentration in leaves with increasing carbon chain length was observed, whereas long-chain PFAAs showed higher concentrations in roots. Accordingly, the foliage to root concentration factor highlighted that PFAAs with shorter carbon chain length (C ≤ 7) translocated and accumulated relatively more in leaves compared to roots. The removal efficiency of individual PFAAs for leaves and roots were comparatively higher with S. eleagnos and S. purpurea than S. triandra, with mean removal values at the whole plant level ranging around 10 % of the amount initially spiked, suggesting their potential for phytoremediation of PFASs. It was clear that the contamination of PFAAs was toxic, they are accumulated by plants and could enter into the food chain of human beings in a plant-based diet, especially plants from a contaminated area. Considering this, the effect of PFAAs was also examined in maize, being one of the most cultivated and consumed food crops worldwide. Also, maize is a major crop in the Veneto region, which is one of the four major PFAAs contaminated sites in the world. The mixture of PFAAs at 100 μg/L had a significant reduction on the growth of maize plants, affecting the uptake of the nutrient solution. It also implies that PFAAs accumulating in such cereal crops is a potential entry point for PFAA into the human food chain with increased risks when grown in hotspot regions, like Veneto region in Italy. Further, experiments were carried out to identify the different metabolites that were altered due to PFAAs treatment. To understand the effects of PFAAs on plant metabolome, A. thaliana was chosen as it is easy growing plant and is thus suitable for NMR-based metabolomic study. The metabolite fingerprint of the samples was provided by novel NMR technology called CMP NMR, an effective tool which was used to compare the PFAAs exposed sample with control. The overall results indicated that the annotated metabolites levels are not modified when plant seedlings are treated with PFOA, PFOS at the selected concentration. On the other hand, the mixture of the 11 PFAA showed a significant modification of Alanine and Glutamine levels with an increase of 30 and 10-fold compared with the control, respectively. Results of this study demonstrated the phytotoxic effects of PFAS on plants and their potential to accumulate in plants and in turn emphasize their entry into our food chain. Thus, also imply the very pertinent need for stringent methodologies to screen PFAS in plant-based diet and regulatory policies on the use of these chemicals in general

    It's World Smile Day– So Make Someone Happy!

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    World Smile Day (Celebrated on 4th October) Guest  Comment  by Dr. Nisha Garg, Professor and Head, Department of Conservative Dentistry and Endodontics, Bhojia Dental College and Hospital, Bhud, Himachal Prades

    UAV remote sensing of agronomic parameters and yield in chickpea and lentil

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    Grain legumes cropping has been purposed as a pivotal practise for facing future issues in terms of food security and agroecosystem stability. Despite the importance of such cultures, literature lack of knowledge in monitoring grain legumes performance with remote sensing data. Hence, this study investigates these aspects in Chickpea (CH) and Lentil (LN), grown in Udine (Italy) during the growing season 2022. Crop dry biomass (BMAG), dry matter content (DMC) and leaf area index (LAI) were correlated with multispectral data acquired by unmanned aerial vehicle (UAV) on seven dates during the growing season. Near-infrared (NIR) band performed as the best proxy of LAI, while for DMC, best correlation was obtained with Normalized Difference Chlorophyll index (NDI). BMAG also was correlated with NDI, and correlation strength improved by implementing the cumulative elaboration of the index. Cumulative indices performed also as proxies of yield; best index was Modified Green-Red Vegetation Index (MGRVI)

    UAV remote sensing of agronomic parameters and yield in chickpea and lentil

    No full text
    Grain legumes cropping has been purposed as a pivotal practise for facing future issues in terms of food security and agroecosystem stability. Despite the importance of such cultures, the literature is lacking in knowledge of monitoring grain legumes performance with remote sensing data. Hence, this study investigated these aspects in chickpea (CH) and lentil (LN), grown in Udine (Italy) during the growing season 2022. Crop dry biomass (BMAG), dry matter content (DMC) and leaf area index (LAI) were correlated with multispectral data acquired by unmanned aerial vehicle (UAV) on seven dates during the growing season. Near-infrared (NIR) band performed as the best proxy of LAI, while for DMC, best correlation was obtained with normalized difference chlorophyll index (NDI). BMAG also was correlated with NDI, and correlation strength improved by implementing the cumulative elaboration of the index. Cumulative indices performed also as proxies of yield; best index was modified green-red vegetation index (MGRVI)

    Handbook of research on cyber law, data protection, and privacy/ Nisha Dhanraj Dewani, Zubair Ahmed Khan, Aarushi Agarwal, Mamta Sharma, and Shaharyar Asaf Khan, editors.

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    Includes bibliographical references and index."This handbook examines the legislations on internet, data security and their effects on user engagement and cyber-crime while contextualizing the inter- relationship between technology and law and addressing the need for additional regulations to safeguard user identification, data and privacy"--Handbook of research on cyber law, data protection, and privacy / Nisha Dewani, Dept. of Law, MAIMS GGSIPU, India Zubair Khan, University of GGSIPU, India, India -- Data access, privacy, protection methods, and challenges : a systematic literature review / Rajab Ssemwogerere, Islamic University in Uganda, Uganda Nambobi Mutwalibi, Islamic University in Uganda, Uganda -- Digital forensics -- security in IoT / Prabhakara Rao Kapula, Department of ECE, B V Raju Institute of Technology, India dumpa Prasad, Department of Electronics and communication Engineering, SASI Institute of Technology and Eng., India Balamuruagn K S, SASI Institute of Technology and Engineering, India -- The cryptocurrency "pump-and-dump" : social media and legal and ethical ambiguity / Brady Lund, Emporia State University, United States -- Considerations for blockchain based online dispute resolution / Madhvendra Singh, Independent, Nitya Jain, Panag & Babu Law Office, India -- Criminological perspective of cybercrime / Tansif Rehman, University of Karachi, Pakistan Ghulam Dastgir, University of Karachi, Pakistan -- Critical appraisal of challenges to online consumers fissures in information technology law in India / Unanza Gulzar, North Cap University, India.1 online resourc

    Assessment of the Effect of Raga Therapy & Nisha Amalaki Churna on Prehypertension - A clinical study

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    Background: Prehypertension is classified as elevated blood pressure above normal by American medical classification. JNC 7 suggested systolic between 120 to 139 mmHg or diastolic 80 to 89 mmHg should be consider as Pre-hypertension. Oxidative stress develops due to stress and anxiety is recognized as main risk factor for initiation of hypertension. The Nada Yoga (sound based yoga) practices has been reported to decreases stress and anxiety. Nisha Amalaki Churna the combination of Amalaki (Indian gooseberry) and Haridra (turmeric) powder also reported to effectively reduces oxidative stress. Aim - To assess the combined effect of Indian Classical Raga Ahirbhairav and Hindol along with Nisha Amalaki Churna on Prehypertension. Material and method- It was clinical study. Total 48 patients selected by purposive sample technique and then divided into 2 groups (n = 24 each) randomly. Assessment was done by criteria of pre hypertension given by JNC 7. Result - In present study group A (Raga Ahirbhairav, Raga Hindol and Nisha Amalki Churna) patients the mean score of Systolic B.P. had decreased from 135.50 to 120.76 (Mean difference 14.74) with extremely significance (p <0.0001) compare to group B (only Nisha Amalki Churna orally) and mean score of Diastolic B.P. had decreased from 88.61 to 79.706 (Mean difference 8.904) with extremely significant (p <0.0001) compare to group B. Relief in mild headache 31.94% (p<0.01), relief in Anxiety 52.67% (p<0.0001) and relief on stress was reported 34.56% (p<0.0001) in Group A were reported, compare to Group B. Conclusion- result of study indicating that Raga therapy with Nisha Amalaki Churna had potential in the management of pre hypertension

    A REVIEW ON THE DASHAVIDHA LANGHANA (10 TYPES OF FASTING)

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    Anita Choudhary*, Sadaf Khan, Lokesh Sharma and Nisha Aggarwa

    Computational approaches for identification of Micro/Nano-Plastic pollution

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    The dissemination of miniaturized plastics, both micro- and nano-plastics, athwart diverse ecosystems is an argument of global apprehension. The accretion of these plastics is due to their chemical steadiness. In arrears to their trivial size, frequently identification of miniaturized plastics is very problematic. The foremost approaches for identification of micro- and-nano plastics rely upon their visual inspection through microscopy and chemical analysis. The advent of high-throughput computing has eased the detection of miniaturized plastic pollution. Machine learning and computer vision methods are being readily applied for analyzing microscopy images to identify and classify microplastics. Molecular simulation methods are also being applied for studying the interaction between environment and microplastics. Additionally, remote sensing methods have also been used to collect and analyze suspected locations of microplastic pollution
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