Výsledky vyhledávání - "Karunakaran Rohini"

Akademický článek

Transcriptomic insights into skin cancer: A bioinformatics and network biology approach to biomarker identification

Autor: Majji Rambabu, M. Navanneth Gowda, Prasanna Kumar Selvam, Karthick Vasudevan, K.R. Dasegowda, Parameswaran Saravanan, Karunakaran Rohini

Publikováno v: Journal of King Saud University: Science, Vol 36, Iss 11, Pp 103510- (2024)

Skin cancer is a widespread malignancy that primarily affects light-skinned populations globally, categorized into melanoma and non-melanoma skin cancers (NMSCs). Basal cell carcinoma and squamous cell carcinoma are the most common subtypes within NM

Externí odkaz: https://doaj.org/article/f6cc5c28025c49e2b74253fcf3178d99

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Akademický článek

Physico-chemical properties revealed huge diversity in 50 date palm (Phoenix dactylifera L.) genotypes

Autor: Ahmad Riaz, Anjum Muhammad Akbar, Ercisli Sezai, Malik Waqas, Sakar Ebru, Marc Romina Alina, Karunakaran Rohini

Publikováno v: Folia Horticulturae, Vol 35, Iss 1, Pp 107-122 (2023)

Date palm has excellent economic value all over the world. Date palm genotypes grown in Pakistan are diverse in nature. The current study aimed to explore the diversity in 50 date palm genotypes collected from two different research stations in Punja

Externí odkaz: https://doaj.org/article/ba3ac82d6eb34f0c8d0faa40d3afb301

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Akademický článek

Antibacterial wound dressing with hydrogel from chitosan and polyvinyl alcohol from the red cabbage extract loaded with silver nanoparticles

Autor: Kaliaperumal Kumaravel, Subramanian Kumaran, Thirunavukkarasu Rajasekar, Varadharajan Ramesh Kumar, Binsuwaidan Reem, Alabdallah Nadiyah M., Alshammari Nawaf, Saeed Mohd, Anbarasu Krishnan, Karunakaran Rohini

Publikováno v: Green Processing and Synthesis, Vol 12, Iss 1, Pp 1203-15 (2023)

The aim of the present study was the synthesis of hydrogel incorporated with chitosan blend with polyvinyl alcohol (PVA) from red cabbage Brassica oleracea and its application in wound healing and antibacterial activity. The chitosan/PVA hydrogel was

Externí odkaz: https://doaj.org/article/763d43be265641c38a4501ed86d7c4ae

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Akademický článek

Cardiovascular diseases prediction by machine learning incorporation with deep learning

Autor: Sivakannan Subramani, Neeraj Varshney, M. Vijay Anand, Manzoore Elahi M. Soudagar, Lamya Ahmed Al-keridis, Tarun Kumar Upadhyay, Nawaf Alshammari, Mohd Saeed, Kumaran Subramanian, Krishnan Anbarasu, Karunakaran Rohini

Publikováno v: Frontiers in Medicine, Vol 10 (2023)

It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is associated with a high risk of death, as well as severe morbidity and disability. There is an urgent need for AI-based technologies that are able to promptly and re

Externí odkaz: https://doaj.org/article/4f4bec26b6654e3fa882c7db35cb3dbf

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Akademický článek

Seaweed polysaccharide mediated synthesis of silver nanoparticles and its enhanced disease resistance in Oreochromis mossambicus

Autor: Sundaram Thanigaivel, Sundaram Vickram, Vinayagam Saranya, Huma Ali, Saud Alarifi, Jeevan Kumar Reddy Modigunta, Krishnan Anbarasu, Rajasekhar Lakshmipathy, Karunakaran Rohini

Publikováno v: Journal of King Saud University: Science, Vol 34, Iss 2, Pp 101771- (2022)

Objective: Preliminary aim of this research work focuses on testing the efficacy of silver nanoparticles synthesised using water soluble polysaccharides extracted from seaweeds against pathogenic fish bacteria. The emergence of various virulence path

Externí odkaz: https://doaj.org/article/1bfe5c11c1a941b59828d4588a3a335c

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Akademický článek

Identification and Structure Prediction of Human Septin-4 as a Biomarker for Diagnosis of Asthenozoospermic Infertile Patients—Critical Finding Toward Personalized Medicine

Autor: A. S. Vickram, K. Anbarasu, Palanivelu Jeyanthi, G. Gulothungan, R. Nanmaran, S. Thanigaivel, T. B. Sridharan, Karunakaran Rohini

Publikováno v: Frontiers in Medicine, Vol 8 (2021)

Semen parameters are been found as a key factor to evaluate the count and morphology in the given semen sample. The deep knowledge of male infertility will unravel with semen parameters correlated with molecular and biochemical parameters. The curren

Externí odkaz: https://doaj.org/article/2abac572cab24a1fb55296e24ec8e03e

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