Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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01 Feb 2021TL;DR: In this paper, the suitability of groundwater of Dera Bassi town (Punjab) and its surrounding agricultural area for drinking as well as irrigation purpose was assessed by using physicochemical parameters.
Abstract: Present research aims to assess the suitability of groundwater of Dera Bassi town (Punjab) and its surrounding agricultural area for drinking as well as irrigation purpose. Thirty groundwater samples were collected (in February 2020) and analyzed for various physicochemical parameters. Results of physicochemical analysis were compared with Indian (IS 10500:2012) as well as WHO (2006) standards to ascertain the suitability of the groundwater samples for drinking purpose, and it has been found that results for almost all the parameters except alkalinity (at few sites) are within the permissible limit. The pattern of ionic dominance was observed in the order of Ca2+ > Mg2+ > Na+ > K+ for cations and Cl− > NO3− > SO42− > F− for anions. Further, according to the observed Kelly’s ratio, sodium adsorption ratio, sodium percentage, corrosivity ratio and permeability index, the groundwater samples were found to be fit for irrigation purpose. However, the magnesium ratio and residual sodium carbonate revealed that groundwater of the area under study is not fit for irrigation purpose at some sites. The plot of SAR values versus EC values in the US Salinity Laboratory diagram revealed that the majority of the samples fall under water type C3-S1 (high salinity—low SAR) and 36.77% samples fall under water type C2-S1 (medium salinity—low SAR). Gibb’s diagram revealed that all samples fall under rock dominance category. The values of index of base exchange (CAI 1 and CAI 2) indicate that both direct ion and reverse ion exchange processes are taking place in the region.
9 citations
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TL;DR: In this paper, a deep learning-based multi-modal for the screening of COVID-19 using chest radiographs and genomic sequences was proposed. But, the performance of the proposed method was limited to detecting the genome of SARS-CoV-2 in the host genome.
Abstract: Amidst the global pandemic and catastrophe created by 'COVID-19', every research institution and scientist are doing their best efforts to invent or find the vaccine or medicine for the disease. The objective of this research is to design and develop a deep learning-based multi-modal for the screening of COVID-19 using chest radiographs and genomic sequences. The modal is also effective in finding the degree of genomic similarity among the Severe Acute Respiratory Syndrome-Coronavirus 2 and other prevalent viruses such as Severe Acute Respiratory Syndrome-Coronavirus, Middle East Respiratory Syndrome-Coronavirus, Human Immunodeficiency Virus, and Human T-cell Leukaemia Virus. The experimental results on the datasets available at National Centre for Biotechnology Information, GitHub, and Kaggle repositories show that it is successful in detecting the genome of 'SARS-CoV-2' in the host genome with an accuracy of 99.27% and screening of chest radiographs into COVID-19, non-COVID pneumonia and healthy with a sensitivity of 95.47%. Thus, it may prove a useful tool for doctors to quickly classify the infected and non-infected genomes. It can also be useful in finding the most effective drug from the available drugs for the treatment of 'COVID-19'.
9 citations
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TL;DR: In this article, the authors describe the impact of adding lubricant additives on the visco-elastic and thermo-physical properties of engine oils and demonstrate the contribution made by these additives in these applications to the consumer, industry and the environment.
9 citations
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TL;DR: In this paper, Dyprosium-doped ZnO nanoparticles [Zn1−xDyxO] were studied to enhance and control their multifunctional properties for various optoelectronic or magnetoelectrical properties.
Abstract: Dysprosium-doped ZnO nanoparticles [Zn1−xDyxO] were studied to enhance and control their multifunctional properties for various optoelectronic or magnetoelectrical properties. After synthesizing well-defined Dy-doped ZnO nanoparticles by Sol-Gel route, the evaluation of optical, magnetic, and electrical characteristics of synthesized ZnO nanoparticles was done. Formation of hexagonal wurtzite structure of Dy-doped nanoparticles was recognized by XRD studies and morphology, by transmission electron microscopy (TEM). The effect of the increase in dopant concentration on the bandgap was confirmed by UV-vis spectra. PL study was performed to show the presence of various types of defects in synthesized nanoparticles. In magnetic studies, room-temperature ferromagnetism (RTFM) behavior was observed. Four probe method showed the dependence of resistivity on dopant concentration.
8 citations
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TL;DR: In this paper, a study of CdSe and CdTe semiconductor quantum dot and corresponding change in their properties by quantum confinement has been performed and the applications along with different dopant ion have been summarised through table and supported by literature.
8 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |