Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Satheesh Kumar P"'
Publikováno v:
Frontiers in Microbiology, Vol 11 (2021)
Global warming is expected to reduce the nutrient concentration in the upper ocean and affect the physiology of marine diatoms, but the underlying molecular mechanisms controlling these physiological changes are currently unknown. To understand these
Externí odkaz:
https://doaj.org/article/76424f5f1e944619bcce9ef25827a345
Autor:
Satheesh Kumar Palanisamy, Daniela Trisciuoglio, Clemens Zwergel, Donatella Del Bufalo, Antonello Mai
Publikováno v:
Journal of Enzyme Inhibition and Medicinal Chemistry, Vol 32, Iss 1, Pp 614-623 (2017)
To identify the metabolite distribution in ascidian, we have applied an integrated liquid chromatography– tandem mass spectrometry (LC–MS) metabolomics approach to explore and identify patterns in chemical diversity of invasive ascidian Styela pl
Externí odkaz:
https://doaj.org/article/70fb385ab36043ba8edb7f0127ec97f3
Autor:
Youngho Wee, Gudi Satheesh Kumar, Seongbeen Kim, Xueyan Sarah Zhao, Ping Wang, Jinwoo Lee, Ee Taek Hwang, Jungbae Kim
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Glycerol-based biorefinery can be a highly profitable process by producing highly value-added products such as dihydroxyacetone via combined catalytic strategies. Here, two-enzyme system is adopted for the transformation of glycerol into hig
Externí odkaz:
https://doaj.org/article/da01adf129f0444787eda7912808cae2
Autor:
Mahendran Karuppusamy, Sasidharan Satheesh Kumar, Harieswaran Selvam, Karthikeyan Sangapillai, Kishore Kumar Kamachisundaram, Brindha Kothanda Rama
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 3, Pp 2047-2056 (2024)
Understanding and harnessing quorum sensing activity and identifying bioactive substances produced by marine-derived bacteria are essential for exploring their potential applications in various fields, including biotechnology, pharmaceuticals, and en
Externí odkaz:
https://doaj.org/article/1944177040a3493f842bf70418549254
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103164- (2024)
Semantic segmentation of small-scale objects in aerial images is challenging due to low-level characteristics in neural networks and varying information in feature maps. Deeplab models struggle with poor edge refinement, resulting in rough borders, a
Externí odkaz:
https://doaj.org/article/a6e703a96cd3416aa5e1162559e05e46
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
The task of providing a natural language description of graphical information of the image is known as image captioning. As a result, it needs an algorithm to create a series of output words and understand the relations between textual and visual ele
Externí odkaz:
https://doaj.org/article/e2005671e17e4f73bde73abc903fb909
Autor:
Megha Sunil, Mithun N, Guruprasad Kalthur, Manju P. Nair, Anu Gopinath, Santhosh Chidangil, Satheesh Kumar, Jijo Lukose
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100804- (2024)
The significant impact of microplastics in the marine environment has sparked global concern. These tiny plastic particles travel from land to the estuary through rivers, where they become intricately distributed within the estuarine dynamics. The sp
Externí odkaz:
https://doaj.org/article/377c9ef446bb4e298545a7f60d4afb05
Autor:
Satheesh Kumar Palanisamy, Rossana Morabito, Alessia Remigante, Nunziacarla Spanò, Giuseppina La Spada, Salvatore Giacobbe, Angela Marino
Publikováno v:
Journal of Biological Research, Vol 89, Iss 1 (2016)
The biological activity of extract obtained from the ascidians Styela plicata and Ascidia mentula, living in the coastal lake Faro (Messina, Italy) was ascertained with specific regard to cytotoxic effect, tested on cultured human embryonic kidney (H
Externí odkaz:
https://doaj.org/article/699b55f40d9f4b4eabce20c0c4b14045
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102752- (2024)
In this present investigation, the performance of thermoelectric generators (TEGs) was determined for the TEGs made of lead telluride (PbTe3), bismuth telluride (Bi2Te3), silicon germanium (SiGe), and aluminum oxide (Al2O3). In response to variations
Externí odkaz:
https://doaj.org/article/3987ad207918482189182a5f73341687
Autor:
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. Background Advanced deep learning methods are becoming more crucial in contemporary medical diagnostics, particularly for detecting intricate a
Externí odkaz:
https://doaj.org/article/b284cce81f6a4dc18dd491b635407094