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Institution

Manipal University

EducationManipal, Karnataka, India
About: Manipal University is a education organization based out in Manipal, Karnataka, India. It is known for research contribution in the topics: Population & Medicine. The organization has 9525 authors who have published 11207 publications receiving 110687 citations.


Papers
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Journal ArticleDOI
TL;DR: Mild negative correlation found between nursing support and stress implying that nursing support reduced stress and significant difference in mean stress scores among parents indicating mothers experienced more stress when compared to fathers.

41 citations

Journal ArticleDOI
TL;DR: An introduction to sFRP4, an update of the pathways it's involved, its various physiological actions that are reported to contribute to diseases, and the importance of its wider research and specific modulation by pharmacologic interventions are provided.

41 citations

Journal ArticleDOI
TL;DR: A new method for rapid NMR data acquisition and assignments applicable to unlabeled or 13C-labeled biomolecules/organic molecules in general and metabolomics in particular is presented and provides new avenues for using multiple receivers and projection NMR techniques for high-throughput approaches in metabolomics.
Abstract: We present a new method for rapid NMR data acquisition and assignments applicable to unlabeled (12C) or 13C-labeled biomolecules/organic molecules in general and metabolomics in particular. The method involves the acquisition of three two dimensional (2D) NMR spectra simultaneously using a dual receiver system. The three spectra, namely: (1) G-matrix Fourier transform (GFT) (3,2)D [13C, 1H] HSQC–TOCSY, (2) 2D 1H–1H TOCSY and (3) 2D 13C–1H HETCOR are acquired in a single experiment and provide mutually complementary information to completely assign individual metabolites in a mixture. The GFT (3,2)D [13C, 1H] HSQC–TOCSY provides 3D correlations in a reduced dimensionality manner facilitating high resolution and unambiguous assignments. The experiments were applied for complete 1H and 13C assignments of a mixture of 21 unlabeled metabolites corresponding to a medium used in assisted reproductive technology. Taken together, the experiments provide time gain of order of magnitudes compared to the conventional data acquisition methods and can be combined with other fast NMR techniques such as non-uniform sampling and covariance spectroscopy. This provides new avenues for using multiple receivers and projection NMR techniques for high-throughput approaches in metabolomics.

41 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a CPW fed wideband four element multiple input multiple output (MIMO) antenna with isolation less than 30 dB between the antenna elements with an Envelope Correlation Coefficient (ECC) below 0.003, measured gain between 2.4 dBi & 5.9 dBi and the radiation efficiency is well above 90% over the entire operating range.
Abstract: This paper presents a CPW fed wideband four element multiple input multiple output (MIMO) antenna. The MIMO structure is developed from the analysis of a single wideband CPW fed antenna with �10 dB bandwidth of 1700 MHz. After which a two antenna element structure is analyzed having the same bandwidth range with isolation below �50 dB. Finally, the proposed four element MIMO structure is designed with isolation less than 30 dB between the antenna elements with an Envelope Correlation Coefficient (ECC) below 0.003, measured gain between 2.4 dBi & 5.9 dBi and the radiation efficiency is well above 90% over the entire operating range. The targeted applications lie between 4.3 and 6.0 GHz under the C band spectrum for WLAN and Wi-Fi. The proposed design is printed on a uniquely shaped FR4 substrate to achieve low insertion loss and greater isolation between the antenna elements. The edge-to-edge distance between the adjacent antenna elements is 15 mm keeping which the antenna elements are placed on the arms of the substrate pattern. This also further helps in increasing the number of antenna elements just by extending the armed pattern with constant edge-to-edge distance. The important parameters of the MIMO system such as ECC with a value as low as 0.0002, Diversity Gain (DG) of 9.998 dB, Total Active Reflection Coefficient (TARC), Mean Effective Gain (MEG) measuring the ratio < 3 dB and Channel Capacity Loss (CCL) of 0.0635 bits/s/Hz are observed at the center frequency of 5 GHz. All the necessary simulations are carried out in Ansys HFSS

41 citations

Journal ArticleDOI
TL;DR: In this paper, a novel coronavirus (COVID-19) arose in Wuhan, China, in December 2019 and spread to other countries worldwide to become a pandemic Globally, governments enforced quarantine and social distancing measures to prevent the spread of the infection.
Abstract: A novel coronavirus (COVID-19) arose in Wuhan, China, in December 2019 Soon it spread to other countries worldwide to become a pandemic Globally, governments enforced quarantine and social distancing measures to prevent the spread of the infection Mass media and social media platforms played a crucial role in providing information regarding the Coronavirus Since little is known about COVID-19, various fake news, misinformation and rumours spread across the digital media that panicked people into making panic deci-sions The rapid spread of misinformation and stories via social media platforms such as Twitter, Facebook and YouTube became a vital concern of the government and public health authorities Medical misinformation and unver-ifiable content about the COVID-19 pandemic are spreading on social media at an unprecedented pace Mitigating the advent of rumours and misinformation during the COVID-19 epidemic is crucial, since misinformation and fake news creates panic, fear and anxiety among people, predisposing them to various mental health conditions Instead of considering social media as a secondary medium, it should be utilised to convey important information Besides, it allows citizens to address their queries directly Several governments across the world have taken actions to contain the pandemic of misinformation, yet measures are required to prevent such communication complications

41 citations


Authors

Showing all 9740 results

NameH-indexPapersCitations
John J.V. McMurray1781389184502
Ashok Kumar1515654164086
Zhanhu Guo12888653378
Vijay P. Singh106169955831
Michael Walsh10296342231
Akhilesh Pandey10052953741
Vivekanand Jha9495885734
Manuel Hidalgo9253841330
Madhukar Pai8952233349
Ravi Kumar8257137722
Vijay V. Kakkar6047017731
G. Münzenberg583369837
Abhishek Sharma524269715
Ramesh R. Bhonde492238397
Chandra P. Sharma4832512100
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023102
2022280
20212,150
20201,821
20191,422
20181,083