Zobrazeno 1 - 10
of 108
pro vyhledávání: '"E. Sujatha"'
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss Suppl 3, Pp S3021-S3021 (2024)
Externí odkaz:
https://doaj.org/article/08a817ffe27e4187965a439bef815abb
Publikováno v:
Nature Environment and Pollution Technology, Vol 21, Iss 5, Pp 2299-2305 (2022)
A phototrophic purple bacterium Allochromatium sp. strain GSKRLMBKU–01 was used in this study for the reduction of hexavalent chromium. This phototrophic bacterium was isolated from samples collected from the coastal area of Visakhapatnam, India. B
Externí odkaz:
https://doaj.org/article/916e7170e4d742a7bb818d78a63240aa
Publikováno v:
International journal of health sciences. :12617-12628
Ledebouria hyderabadensis is a new species found in the city limits of Hyderabad, Telangana, India, in 2012. Ethanolic extract of L. hyderabadensis bulbs was measured for its antioxidant and antihypertensive. Phytochemical investigation revealed that
Publikováno v:
2023 International Conference on Networking and Communications (ICNWC).
Publikováno v:
2023 International Conference on Networking and Communications (ICNWC).
Akademický článek
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Publikováno v:
Journal of Pharmaceutical Research International. :29-34
Acne vulgaris is caused by Propionibacterium acnes, subsequently aggravated by Staphylococcus epidermidis, and Staphylococcus aureus. Pupalia lappacea (L.) Juss. It is a common weed found in Asia and tropical Africa. The current investigation is aime
Autor:
Pravalika Kuchana, E Sujatha
Publikováno v:
International journal of health sciences. :571-581
Dracaena reflexa (family: Asparagaceae), commonly known as Song of India is a tropical plant that is traditionally claimed to have high medicinal values. The current exploration was intended to assess the pain-relieving and anti-inflammatory potentia
Autor:
E Sujatha Sujatha, R Radha Radha
Publikováno v:
Indian Journal of Science and Technology. 14:2039-2050
Objectives: Toextract and identify the subjective information of social media user from the unstructured data. To overcome the high dimensionality and sparsity those are the two major challenges in sentiment analysis of text datasets. To increase the
Publikováno v:
Advances in Mathematics: Scientific Journal. 10:1925-1936