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On some conjectural determinants of Sun involving residues

Autor: Chaliha, Rituparna, Kalita, Gautam

For an odd prime $p$ and integers $d, k, m$ with gcd$(p,d)=1$ and $2\leq k\leq \frac{p-1}{2}$, we consider the determinant \begin{equation*} S_{m,k}(d,p) = \left|(\alpha_i - \alpha_j)^m\right|_{1 \leq i,j \leq \frac{p-1}{k}}, \end{equation*} where $\

Externí odkaz: http://arxiv.org/abs/2407.07085

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Akademický článek

Bina Kutir

Autor: Chaliha, Saurabh Kumar, Patar, Daradi

Publikováno v: Indian Literature, 2024 May 01. 683 (341), 56-70.

Externí odkaz: https://www.jstor.org/stable/27309340

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Akademický článek

Antimicrobial efficacy of clindamycin, linezolid, and calcium hydroxide as root canal medicaments on tubular infection against Enterococcus faecalis biofilm: An in vitro study

Autor: Manisha Rani Bharathi, Mahima Tilakchand, Priya Horatti, Rideep Chaliha

Publikováno v: Endodontology, Vol 36, Iss 4, Pp 358-363 (2024)

Aim: The aim of the study was to evaluate and compare the antimicrobial efficacy of linezolid, clindamycin, and calcium hydroxide (Ca(OH)2) as an intracanal medicament on Enterococcus faecalis biofilm. Methods: Fifty-six root blocks obtained from ext

Externí odkaz: https://doaj.org/article/0b00ac3d73b442409360a4d2e9bf7ca6

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Akademický článek

Ethnic foods of Northeast India: insight into the light of food safety

Autor: Madhuchhanda Das, Anup Kumar Ojha, Pallab Sarmah, Dimpu Gogoi, Karma G. Dolma, Tapan Majumdar, Suranjana Chaliha Hazarika, Dilem Modi, Goutam Chowdhury, Chaitali Konwar, Reema Nath, Samaresh Das, Thandavarayan Ramamurthy

Publikováno v: BMC Public Health, Vol 24, Iss 1, Pp 1-14 (2024)

Abstract Background Traditional and fermented foods are widely consumed by the ethnic population of Northeast India. These foods are not only very nutritious, easily available, and reasonably priced, but also boost immunity and protect from various s

Externí odkaz: https://doaj.org/article/c7cedaa1c9f04e3ebd05a36dcf42d01e

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Dissertation/ Thesis

Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

Autor: Chaliha, Jaysmita Khanindra

The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dyna

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23604

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