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Institution

Motilal Nehru National Institute of Technology Allahabad

EducationAllahabad, Uttar Pradesh, India
About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.


Papers
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Journal ArticleDOI
TL;DR: The chi-glu-ald-que conjugate showed excellent cytotoxicity against J774 cell lines but no cytot toxicity towards Peripheral blood mononuclear cells (PBMCs).

57 citations

Journal ArticleDOI
05 Feb 2019
TL;DR: The present review focuses thoroughly on detailed actions and responses of nanomaterials against different bacteria and fungi as well as food sensing and storage.
Abstract: Use of nanomaterials in the field of science and technology includes different fields in food industry, medicine, agriculture and cosmetics. Nanoparticle-based sensors have wide range of applications in food industry for identification and detection of chemical contaminants, pathogenic bacteria, toxins and fungal toxins from food materials with high specificity and sensitivity. Nanoparticle–microbe interactions play a significant role in disease treatment in the form of antimicrobial agents. The inhibitory mechanism of nanoparticles against different bacteria and fungi includes release of metal ions that interacts with cellular components through various pathways including reactive oxygen species (ROS) generation, pore formation in cell membranes, cell wall damage, DNA damage, and cell cycle arrest and ultimately inhibits the growth of cells. Nanoparticle-based therapies are growing to study the therapeutic treatments of plant diseases and to prevent the growth of phytopathogens leading to the growing utilization of engineered nanomaterials. Hence, with this background, the present review focuses thoroughly on detailed actions and responses of nanomaterials against different bacteria and fungi as well as food sensing and storage.

57 citations

Journal ArticleDOI
TL;DR: In this article, a C 0 nonlinear finite element formulation of the random nonlinear problem based on higher order shear deformation theory in the von Karman sense is presented.

57 citations

Journal ArticleDOI
TL;DR: In this paper, the photocatalytic, antibacterial and supercapacitive properties of the synthesized products were investigated under direct sunlight and the electrochemical measurements revealed better performance of the rGO-CuO and rGO -Cu2O nanocomposites.
Abstract: The control over the water pollution caused by the organic and biological pollutants is one of the challenging tasks for the scientific community. Here, we have focused to develop materials which can be used to remove both types of water pollutants and also assist in solving problems related to the energy crisis. The CuO, Cu2O, rGO-CuO and rGO-Cu2O of different shapes (sphere, rod and wire) and crystal phases were synthesized and their photocatalytic, antibacterial and supercapacitive properties were investigated. The photocatalytic activity of the synthesized products was measured against methylene blue (MB) dye under the direct sunlight while the antibacterial activity was tested against Klebsiella (gram-negative) and S. aureus (gram-positive) microbes. The electrochemical measurements revealed better supercapacitive performance of the rGO-CuO and rGO-Cu2O nanocomposites.

57 citations

Journal ArticleDOI
TL;DR: In this article, the authors aim to ascertain the predictors of training effectiveness with special reference to the characteristics of trainers, including comfort level with the subject matter and trainer's rapport with trainees.
Abstract: Purpose – The paper aims to ascertain the predictors of training effectiveness with special reference to the characteristics of trainers.Design/methodology/approach – Characteristics of trainers as obtained from the extant literature served as seven independent variables to predict training effectiveness, measured in terms of trainee satisfaction with the training programme. Data were collected by administering a structured questionnaire on employees selected through simple random sampling. A total of 80 responses were obtained and subjected to multiple regression analysis.Findings – Of the seven independent variables, only two, namely trainer's comfort level with the subject matter and trainer's rapport with trainees, were found to be the significant predictors of trainee satisfaction. Hence, the hypothesis that all seven independent variables are significant predictors of trainee satisfaction was partially proved.Originality/value – Training programmes should be designed keeping in mind the knowledge le...

57 citations


Authors

Showing all 2547 results

NameH-indexPapersCitations
Santosh Kumar80119629391
Anoop Misra7038517301
Naresh Kumar66110620786
Munindar P. Singh6258020279
Arvind Agarwal5832512365
Mahendra Kumar542169170
Jay Singh513018655
Lalit Kumar4738111014
O.N. Srivastava4754810308
Avinash C. Pandey453017576
Sunil Gupta435188827
Rakesh Mishra415457385
Durgesh Kumar Tripathi371335937
Vandana Singh351904347
Prashant K. Sharma341743662
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
202284
2021728
2020587
2019532
2018423