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Article: A short review on antibody therapy for COVID-19.

Venkat Kumar, G / Jeyanthi, V / Ramakrishnan, S

2020 Volume 35, Page(s) 100682

Abstract: The beginning of the novel SARS-CoV-2 human coronavirus in Wuhan, China, has triggered a worldwide respiratory disease outbreak (COVID-19). By April 07, 2020, SARS-CoV-2 has affected more than 1.36 million people worldwide and caused more than 75,900 ... ...

Abstract	The beginning of the novel SARS-CoV-2 human coronavirus in Wuhan, China, has triggered a worldwide respiratory disease outbreak (COVID-19). By April 07, 2020, SARS-CoV-2 has affected more than 1.36 million people worldwide and caused more than 75,900 deaths. To date, the anti-malaria drug hydroxychloroquine found to be a treatment option for SARS-CoV-2. In addition to supportive treatment, such as oxygen supply in moderate cases and extracorporeal membrane oxygenation in critically ill patients, unique medications for this condition are also under investigation. Here we reviewed the antibody therapy might be an immediate strategy for emergency prophylaxis and SARS-CoV-2 therapy.
Keywords	covid19
Language	English
Publishing date	2020-04-20
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2750179-6
ISSN	2052-2975
ISSN	2052-2975
DOI	10.1016/j.nmni.2020.100682
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: World Social Work Day, 15 March 2022

Venkat Rao Pulla / J. Sai Sudheer Kumar / Gidraph G. Wairire

Space and Culture, India, Vol 9, Iss

2022 Volume 4

Abstract: We live in a bizarre world that is constantly changing. While thousands fall into a country demarcated below poverty lines, the world's top ten wealthiest men appeared to have more than doubled their fortunes during the epidemic. 'Davos Man: How the ... ...

Abstract	We live in a bizarre world that is constantly changing. While thousands fall into a country demarcated below poverty lines, the world's top ten wealthiest men appeared to have more than doubled their fortunes during the epidemic. 'Davos Man: How the Billionaires Destroyed the World,' a book written by New York Times reporter Peter Goodman, explored how the ultra-rich are responsible for things like climate change, violence, and the collapse of democracy. Social workers seem to go along with fixing the society and reach the last impoverished man on the planet, unmindful of what appears to happen to resources. The following is a report on the topics that were discussed at a meeting of social workers from around the world on 15 March 2022, which the Brisbane Institute of Strengths-Based Practice organised. Journal Space and Culture, India was also a part of this endeavour. There were nearly one hundred social workers attending the conference and a few thousand through other social media outlets.
Keywords	Social Workers ; World Social Work Day ; Antyodaya ; Reaching the Last Man ; Ethnology. Social and cultural anthropology ; GN301-674
Subject code	300
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	ACCB Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A short review on antibody therapy for COVID-19

Venkat Kumar, G. / Jeyanthi, V. / Ramakrishnan, S.

New Microbes and New Infections

2020 Volume 35, Page(s) 100682

Keywords	covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	2750179-6
ISSN	2052-2975
ISSN	2052-2975
DOI	10.1016/j.nmni.2020.100682
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A short review on antibody therapy for COVID-19

G. Venkat Kumar / V. Jeyanthi / S. Ramakrishnan

New Microbes and New Infections, Vol 35, Iss , Pp - (2020)

2020

Abstract	The beginning of the novel SARS-CoV-2 human coronavirus in Wuhan, China, has triggered a worldwide respiratory disease outbreak (COVID-19). By April 07, 2020, SARS-CoV-2 has affected more than 1.36 million people worldwide and caused more than 75,900 deaths. To date, the anti-malaria drug hydroxychloroquine found to be a treatment option for SARS-CoV-2. In addition to supportive treatment, such as oxygen supply in moderate cases and extracorporeal membrane oxygenation in critically ill patients, unique medications for this condition are also under investigation. Here we reviewed the antibody therapy might be an immediate strategy for emergency prophylaxis and SARS-CoV-2 therapy.
Keywords	Convalescent plasma therapy ; monoclonal antibody therapy ; receptor binding domain ; SARS-CoV-2 ; spike protein ; Infectious and parasitic diseases ; RC109-216 ; covid19
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Predicting Smartphone Vision Syndrome

Annapurna T. / Rajeswari P.V.G.S. / Likitha Aeloorie / Deekshitha Gadi / Sharma Sonal / Venkat Rao Y. / Ram Kumar R.P.

E3S Web of Conferences, Vol 430, p

A Feasible Approach using Machine Learning Algorithms

2023 Volume 01036

Abstract: Smartphone Vision Syndrome (SVS) is an evitable problem for people who spend a great deal of time watching digital screens. It is a major concern for rapid growth in technology where the burden is significantly greater due to factors such as limited ... ...

Abstract	Smartphone Vision Syndrome (SVS) is an evitable problem for people who spend a great deal of time watching digital screens. It is a major concern for rapid growth in technology where the burden is significantly greater due to factors such as limited access to and use of personal protective equipment, as well as lesser break time. The objective of the model is to achieve a feasible and higher level of eye health for people who are working long hours with digital screens. The dataset is obtained through an online survey form containing metrics that contribute to the occurrence of SVS. After applying Machine Learning algorithms, namely Logistic Regression, Random Forest Classifier, Naïve Bayes and Support Vector Machine (SVM), the model’s overall performance is assessed using the test sample. Accuracies obtained by Random Forest, Support Vector Machine, Logistic Regression, Naïve Bayes, and Gaussian Naïve Bayes are 98.75%, 97.5%, 77.5%, 95% and 96.25%.
Keywords	Environmental sciences ; GE1-350
Subject code	310
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Onsite age discrimination of an endangered medicinal and aromatic plant species Valeriana jatamansi using field hyperspectral remote sensing and machine learning techniques

Kandpal, Kishor Chandra / Kumar, Sunil / Venkat, G. Sai / Meena, Ramjeelal / Pal, Probir Kumar / Kumar, Amit

International journal of remote sensing. 2021 May 19, v. 42, no. 10

2021

Abstract: Valeriana jatamansi Jones is an aromatic herb well known for its essential oil contents, and its high medicinal and commercial values. The amount of essential oils present in it increases with maturity (age) of the plant. In this study, Hyperspectral ... ...

Abstract	Valeriana jatamansi Jones is an aromatic herb well known for its essential oil contents, and its high medicinal and commercial values. The amount of essential oils present in it increases with maturity (age) of the plant. In this study, Hyperspectral remote sensing data recorded in the field using Analytical Spectral Devices (ASD) handheld spectroradiometer was used to discriminate the age (6, 12, 24 and 36 months) of V. jatamansi. Principal Component Analysis (PCA) was used for feature selection and 06 machine learning classifiers were used to classify the plant based on their ages, i.e., Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), Boosting Decision Tree (BDT), Decision Tree (DT) and k-Nearest Neighbourhood (kNN). For comparison, these classifiers were applied on full range of spectral reflectance data without feature selection and on feature-selected data using PCA. It was found that the accuracies of ANN, RF, BDT, SVM, DT and kNN were 91, 85, 57, 78, 35 and 42%, respectively for non-feature selected datasets. The accuracies of ANN and DT classifiers were, respectively, increased by 100% and 75% after applying PCA. The ANN classifiers resulted in 100% overall accuracy with a Kappa coefficient (K) of 1. The wavelength regions 860, 870 to 874, 876 to 885 nm in near-infrared (NIR), and 747 to 756 nm (red-edge) were identified as regions suitable for discriminate the age groups of V. jatamansi. The final trained model thus prepared was again validated on 60 plants (with different age group) grown in its natural habitat and the obtained accuracy was 88% (K = 0.84). Thus, the present study have provided a rapid technology for onsite identification of age of V. jatamansi in the field itself. The developed technology thus provides a scientific way for harvesting of this plant at its optimum age avoiding its wastage. The results of this study can also be applied to other endangered and valuable plants by way of finding its optimum growth stages for its harvesting.
Keywords	Valeriana jatamansi ; data collection ; decision support systems ; essential oils ; habitats ; neural networks ; principal component analysis ; reflectance ; spectroradiometers ; support vector machines ; wavelengths
Language	English
Dates of publication	2021-0519
Size	p. 3777-3796.
Publishing place	Taylor & Francis
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1497529-4
ISSN	1366-5901 ; 0143-1161
ISSN (online)	1366-5901
ISSN	0143-1161
DOI	10.1080/01431161.2021.1881184
Database	NAL-Catalogue (AGRICOLA)

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Article: Practice Patterns and Management Protocols in Trauma across Indian Settings: A Nationwide Cross-sectional Survey.

Sodhi, Kanwalpreet / Khasne, Ruchira Wasudeo / Chanchalani, Gunjan / Jagathkar, Ganshyam / Kola, Venkat Raman / Mishra, Mahesh / Sahasrabudhe, Shrikant / Mishra, Rajesh C / Patel, Amrish / Bhavsa, Ankur R / Abbas, Haider / Routray, Pragyan Kumar / Sood, Pramod / Rajhans, Prasad Anant / Gupta, Reshu / Soni, Kapil Dev / Kumar, Manender

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine

2023 Volume 27, Issue 1, Page(s) 38–51

Abstract: ... this article: Sodhi K, Khasne RW, Chanchalani G, Jagathkar G, Kola VR, Mishra M ...

Abstract	Background: Trauma is the leading cause of death in India resulting in a significant public health burden. Indian Society of Critical Care Medicine (ISCCM) has established a trauma network committee to understand current practices and identify the gaps and challenges in trauma management in Indian settings. Material and methods: An online survey-based, cross-sectional, descriptive study was conducted with high-priority research questions based on hospital profile, resource availability, and trauma management protocols. Results: Data from 483 centers were analyzed. A significant difference was observed in infrastructure, resource utilization, and management protocols in different types of hospitals and between small and big size hospitals across different tier cities in India ( Conclusion: We found that majority of the centers are well equipped with optimal infrastructure, ATLS-trained physician, and management protocols. Still many aspects of trauma management need to be prioritized. There should be proactive involvement at an organizational level to manage trauma patients with a multidisciplinary approach. This survey gives us a deep insight into the current scenario of trauma care and can guide to strengthen across the country. How to cite this article: Sodhi K, Khasne RW, Chanchalani G, Jagathkar G, Kola VR, Mishra M
Language	English
Publishing date	2023-02-04
Publishing country	India
Document type	Journal Article
ZDB-ID	2121263-6
ISSN	1998-359X ; 0972-5229
ISSN (online)	1998-359X
ISSN	0972-5229
DOI	10.5005/jp-journals-10071-24384
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Article ; Online: Unraveling the Polymer Chain-Adsorbed Constrained Interfacial Region on an Atomistically Thin Carbon Sheet.

Kumar, Sanjay / Sriramoju, Kishore Kumar / Aswal, Vinod K / Padmanabhan, Venkat / Harikrishnan, G

The journal of physical chemistry. B

2019 Volume 123, Issue 13, Page(s) 2994–3001

Abstract: Confinement of graphene and its functional derivatives in synthetic and biomacromolecules has been widely demonstrated recently to manifest in several multiscale phenomena in their mixtures. However, the intricate adsorbed interfacial region formed ... ...

Abstract	Confinement of graphene and its functional derivatives in synthetic and biomacromolecules has been widely demonstrated recently to manifest in several multiscale phenomena in their mixtures. However, the intricate adsorbed interfacial region formed between polymer chains and a single layer of atomistically thin carbon sheet hitherto evaded an understanding of its nature and characteristics. Here, we reveal the structure of this constrained region and estimate the thickness of the adsorbed polymer layer on a single layer of an atomistically thin graphene oxide sheet using both direct experiments and molecular dynamics simulations. We use small-angle neutron scattering on a model multicomponent mixture formed by an adsorbing polymer, graphene oxide, and solvent for revealing the structure of the constrained interfacial region. We quantify the intricate adsorbed polymer layer thickness on a single layer of atomistically thin graphene oxide sheet by Euclidean approximation of the experimentally observed self-similar interfacial structure. The state of polymer chain random walk and influence of unadsorbed chains under experimental conditions are investigated and juxtaposed against the accuracy of this quantification. For long-chain polymers, the adsorbed layer thickness increases with increasing polymer molecular weight and shows a scaling relationship δ ∼ R
Language	English
Publishing date	2019-03-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1520-5207
ISSN (online)	1520-5207
DOI	10.1021/acs.jpcb.8b12577
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Unraveling the Polymer Chain-Adsorbed Constrained Interfacial Region on an Atomistically Thin Carbon Sheet

Kumar, Sanjay / Kishore Kumar Sriramoju / Vinod K. Aswal / Venkat Padmanabhan / G. Harikrishnan

Journal of physical chemistry. 2019 Mar. 13, v. 123, no. 13

2019

Abstract	Confinement of graphene and its functional derivatives in synthetic and biomacromolecules has been widely demonstrated recently to manifest in several multiscale phenomena in their mixtures. However, the intricate adsorbed interfacial region formed between polymer chains and a single layer of atomistically thin carbon sheet hitherto evaded an understanding of its nature and characteristics. Here, we reveal the structure of this constrained region and estimate the thickness of the adsorbed polymer layer on a single layer of an atomistically thin graphene oxide sheet using both direct experiments and molecular dynamics simulations. We use small-angle neutron scattering on a model multicomponent mixture formed by an adsorbing polymer, graphene oxide, and solvent for revealing the structure of the constrained interfacial region. We quantify the intricate adsorbed polymer layer thickness on a single layer of atomistically thin graphene oxide sheet by Euclidean approximation of the experimentally observed self-similar interfacial structure. The state of polymer chain random walk and influence of unadsorbed chains under experimental conditions are investigated and juxtaposed against the accuracy of this quantification. For long-chain polymers, the adsorbed layer thickness increases with increasing polymer molecular weight and shows a scaling relationship δ ∼ Rg⁰.²² with the polymer radius of gyration. For short-chain polymers, the thickness is nearly independent of molecular weight and shows a scaling relationship δ ∼ 0.6Rg⁰.²². Coarse-grained molecular dynamics simulations performed on a model system similar to experiments qualitatively ratify the experimentally observed molecular weight–thickness relationship. Simulations show no discernible scaling relationship between radius of gyration and adsorbed layer thickness for low-molecular-weight polymers but show a consistent scaling δ ∼ Rg for high-molecular-weight polymers. A comparison between results from experiments and simulations indicates a discerning pathway in deciphering interface-governed multiscale phenomena in mixtures of adsorbing macromolecules with graphene and its functional derivatives.
Keywords	graphene ; graphene oxide ; molecular dynamics ; molecular weight ; neutron diffraction ; polymers ; simulation models ; solvents
Language	English
Dates of publication	2019-0313
Size	p. 2994-3001.
Publishing place	American Chemical Society
Document type	Article
ISSN	1520-5207
DOI	10.1021/acs.jpcb.8b12577
Database	NAL-Catalogue (AGRICOLA)

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Article: Maternal Nutrition, Body Composition and Gestational Weight Gain on Low Birth Weight and Small for Gestational Age-A Cohort Study in an Indian Urban Slum.

Mamidi, Raja Sriswan / Banjara, Santosh Kumar / Manchala, Sridevi / Babu, Ch Khadar / Geddam, J J Babu / Boiroju, Naveen Kumar / Varanasi, Bhaskar / Neeraja, G / Reddy, G Venkat Raji / Ramalakshmi, B A / Hemalatha, R / Meur, Gargi

Children (Basel, Switzerland)

2022 Volume 9, Issue 10

Abstract: ... were 23 years and 21.7 kg/m2, respectively, and haemoglobin was 10.73 g/dL. The mean birthweight (N ...

Abstract	Maternal nutritional status and care during pregnancy are essential for adequate birth weight. In this prospective cohort study (N = 1061) in an urban slum, we investigated the association of maternal anthropometry, body composition, gestational weight gain and dietary intakes with low birthweight (LBW, <2.5 kg). About one-third of the women were short (<150 cm), 35% were underweight (<45 kg), 23% suffered from chronic energy deficiency (CED, BMI < 18.5 kg/m2) and another 30% were overweight/obese. The mean age and BMI were 23 years and 21.7 kg/m2, respectively, and haemoglobin was 10.73 g/dL. The mean birthweight (N = 605) was 2.81 ± 0.5 kg, and the average gestational age was 38 ± 2 weeks. About 15% of infants had LBW, and 48% were small for gestational age (SGA). Maternal body composition was assessed by skinfold thickness (SFT) in all trimesters. In the first trimester (N = 762), we found that mean fat-free mass (FFM), fat mass (FM) and body fat percentage (% BF) were 38.86 kg, 11.43 kg and 21.55%, respectively. Low birthweight was significantly associated with preterm deliveries (p < 0.001) and less fat free mass (p = 0.02) in the third trimester. Among other factors were age (p = 0.017), maternal anthropometry (height: p = 0.031; weight: p = 0.059) and fewer antenatal check-ups (p = 0.037). Small size (SGA) was consistently associated with maternal bodyweight at all trimesters (term I, p = 0.013, term II, p = 0.003 and term III, p < 0.001), fat mass in the third trimester (p < 0.001) and maternal height (p = 0.003).
Language	English
Publishing date	2022-09-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2732685-8
ISSN	2227-9067
ISSN	2227-9067
DOI	10.3390/children9101460
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