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Institution

Jaypee Institute of Information Technology

EducationNoida, Uttar Pradesh, India
About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.


Papers
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Journal ArticleDOI
TL;DR: A dual-objective Quantum-inspired Genetic Algorithm based Load Balancing Strategy (QGLBS) for workflow application with the objective of optimizing both LIB and LCR is proposed.

16 citations

Journal ArticleDOI
TL;DR: In this article, the significance of mitochondria in the development of cancer phenotype, as well as indicated it as the potential targets for cancer therapy. And the importance of different nanoparticle-based approaches to target mitochondria of cancer cells and the associated outcomes of different studies.

16 citations

Journal ArticleDOI
TL;DR: In this paper, a photonic-technology-based organic compound sensor with optimum performance was proposed, which consists of a water cavity sandwiched between two symmetric sub-PCs, which are composed of alternate layers of SiO2 and ZnO.
Abstract: Organic-compound-based sensors have important applications, such as applications in geothermal power stations, the shoe industry, the extraction of vegetable oil, azeotropic calibration and medical science. Herein, a 1D photonic crystal (PC) with a defect has been used to develop a photonic-technology-based organic compound sensor with optimum performance. The structure of the proposed organic compound sensor consists of a water cavity sandwiched between two symmetric sub-PCs, which are composed of alternate layers of SiO2 and ZnO. The proposed air/(SiO2/ZnO)5/cavity/(SiO2/ZnO)5/glass structure with the optimized structural parameters achieves a quality factor that varies between a minimum value of 4968.2 and a maximum value of 6418.5. The FOM and sensitivity values of the proposed sensing design are on the order of 102 and 103, respectively. The LOD value of the proposed sensor is on the order of 10−5, which is very low, as is always expected for chemical sensing designs. Thus, the simple design and excellent performance make our design highly efficient and suitable for sensing applications in the industrial and biomedical fields.

16 citations

Journal ArticleDOI
TL;DR: This is the first report on the Acinetobacter spp.
Abstract: In this study, two bacterial isolates designated Alp6 and Alp7 were isolated from soil collected from dye industries and screened for their ability to degrade carbazole. Growing cells of the isolates Alp6 and Alp7 could degrade 99.9% and 98.5% of carbazole, respectively in 216 h. The specific activity for degradation by the resting cells of Alp6 was found to be 7.96 μmol/min/g dry cell weight, while for Alp7 it was 5.82 μmol/min/g dry cell weight. Phylogenetic analysis based on 16S rDNA gene sequences showed that isolates Alp6 and Alp7 belonged to the genus Acinetobacter. To the best of our knowledge, this is the first report on the Acinetobacter spp. showing utilization of carbazole as carbon and nitrogen source.

16 citations

Journal ArticleDOI
TL;DR: It was suggested that the developed PLGA NPs could serve as a potential carrier for the Bcf in the treatment of neuropathic pain.
Abstract: In this work, poly (D,L-lactide-co-glycolic acid) (PLGA) nanoparticles of baclofen (Bcf-PLGA-NPs) were developed and optimized using nanoprecipitation method The average particle size of

15 citations


Authors

Showing all 2176 results

NameH-indexPapersCitations
Sanjay Gupta9990235039
Mohsen Guizani79111031282
José M. Merigó5536110658
Ashish Goel502059941
Avinash C. Pandey453017576
Krishan Kumar352424059
Yogendra Kumar Gupta351834571
Nidhi Gupta352664786
Anirban Pathak332143508
Amanpreet Kaur323675713
Navneet Sharma312193069
Garima Sharma31973348
Manoj Kumar301082660
Rahul Sharma301893298
Ghanshyam Singh292632957
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202258
2021401
2020395
2019464
2018366