Zobrazeno 1 - 10
of 7 148
pro vyhledávání: '"Sasi A"'
Autor:
G. Nithya, Y. Ajith, Varghese Raina, Thulasi Thushar, Sasi Adithya, K.S. Athira, P. Preena, Hiron M. Harshan, K.Justin Davis
Publikováno v:
Journal of Trace Elements and Minerals, Vol 9, Iss , Pp 100192- (2024)
Background: Grass tetany or hypomagnesemia is a metabolic syndrome causing acute neurological manifestations in periparturient ruminants grazing on rapidly grown green pastures or cereal crops with high potassium or nitrogen content and low magnesium
Externí odkaz:
https://doaj.org/article/93bfb95f7d8e4dcfaea154ae0617c9a7
Publikováno v:
Clinical, Cosmetic and Investigational Dentistry, Vol Volume 16, Pp 43-52 (2024)
Roshni Ramesh,* Anoop Sasi,* Shahana C Mohamed, Sonia P Joseph Department of Periodontology, Government Dental College, Thiruvananthapuram, Kerala, India*These authors contributed equally to this workCorrespondence: Roshni Ramesh, Departm
Externí odkaz:
https://doaj.org/article/ec5b780df8f24f8f92a52bd6fd97dd82
Autor:
Sasi Arunachalam, Karol Szlachta, Samuel W. Brady, Xiaotu Ma, Bensheng Ju, Bridget Shaner, Heather L. Mulder, John Easton, Benjamin J. Raphael, Matthew Myers, Christopher Tinkle, Sariah J. Allen, Brent A. Orr, Cynthia J. Wetmore, Suzanne J. Baker, Jinghui Zhang
Publikováno v:
Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-14 (2022)
Abstract The majority of diffuse midline gliomas, H3 K27-altered (DMG-H3 K27-a), are infiltrating pediatric brain tumors that arise in the pons with no effective treatment. To understand how clonal evolution contributes to the tumor’s invasive spre
Externí odkaz:
https://doaj.org/article/02dac622bfc94b37b1ee8e53187e1be1
Autor:
Sasi Abirami, B Edwin Raj, T Soundarya, Marikani Kannan, Dhanasekaran Sugapriya, Noura Al-Dayan, Arif Ahmed Mohammed
Publikováno v:
Saudi Journal of Biological Sciences, Vol 28, Iss 4, Pp 2180-2187 (2021)
A broad spectrum of medicinal plants was used as traditional remedies for various infectious diseases. Fungal infectious diseases have a significant impact on public health. Fungi cause more prevalent infections in immunocompromised individuals mainl
Externí odkaz:
https://doaj.org/article/c05362ee42fe41159e964bf604b74cbd
Autor:
Antony V. Samrot, Mahendran Sathiyasree, Sadiq Batcha Abdul Rahim, Robinson Emilin Renitta, Kasirajan Kasipandian, Sivasuriyan Krithika Shree, Deenadhayalan Rajalakshmi, Nagarajan Shobana, Shanmugaboopathi Dhiva, Sasi Abirami, Sridevi Visvanathan, Basanta Kumar Mohanty, Gokul Shankar Sabesan, Suresh V. Chinni
Publikováno v:
Polymers, Vol 15, Iss 6, p 1525 (2023)
Biological macromolecules like polysaccharides/proteins/glycoproteins have been widely used in the field of tissue engineering due to their ability to mimic the extracellular matrix of tissue. In addition to this, these macromolecules are found to ha
Externí odkaz:
https://doaj.org/article/cc9fea88daa2419ebec594feadd0a48c
Autor:
Sasi, Shanuja, Günlü, Onur
In this paper, we consider two critical aspects of security in the distributed computing (DC) model: secure data shuffling and secure coded computing. It is imperative that any external entity overhearing the transmissions does not gain any informati
Externí odkaz:
http://arxiv.org/abs/2404.16431
Publikováno v:
Indian Journal of Dermatology, Vol 66, Iss 3, Pp 320-322 (2021)
Externí odkaz:
https://doaj.org/article/db2feea2c19a488c88e4ad3753c15860
Autor:
Sasi, Shanuja, Günlü, Onur
This paper studies the shuffling phase in a distributed computing model with rate-limited links between nodes. Each node is connected to all other nodes via a noiseless broadcast link with a finite capacity. For this network, the shuffling phase is d
Externí odkaz:
http://arxiv.org/abs/2403.01296
A novel distributed computing model called "Multi-access Distributed Computing (MADC)" was recently introduced in http://www.arXiv:2206.12851. In this paper, we represent MADC models via 2-layered bipartite graphs called Map-Reduce Graphs (MRGs) and
Externí odkaz:
http://arxiv.org/abs/2402.16140
Autor:
Abadi, Aydin, Doyle, Bradley, Gini, Francesco, Guinamard, Kieron, Murakonda, Sasi Kumar, Liddell, Jack, Mellor, Paul, Murdoch, Steven J., Naseri, Mohammad, Page, Hector, Theodorakopoulos, George, Weller, Suzanne
Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data exchange. However, state-of-the-art FL solutions to identify fraudulent financial transactions
Externí odkaz:
http://arxiv.org/abs/2401.10765