Zobrazeno 1 - 10
of 3 529
pro vyhledávání: '"A. Jadav"'
Autor:
S. Patade, D. Waman, A. Deshmukh, A. K. Gupta, A. Jadav, V. T. J. Phillips, A. Bansemer, J. Carlin, A. Ryzhkov
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 12055-12075 (2022)
A new empirical parameterization (EP) for multiple groups of primary biological aerosol particles (PBAPs) is implemented in the aerosol–cloud model (AC) to investigate their roles as ice nucleating particles (INPs). The EP describes the heterogeneo
Externí odkaz:
https://doaj.org/article/1d988fcedf8044d3a74f4f21d4d316f3
The effective action formalism introduced by Vilkovisky and later modified by DeWitt is completely covariant suitable for obtaining an effective action that is independent of the parametrization of the quantum fields. Among a few basic properties of
Externí odkaz:
http://arxiv.org/abs/2406.16105
The paper presents a new approach of stability evaluation of the approximate Riemann solvers based on the direct Lyapunov method. The present methodology offers a detailed understanding of the origins of numerical shock instability in the approximate
Externí odkaz:
http://arxiv.org/abs/2403.17504
This article introduces a framework for complex human-robot collaboration tasks, such as the co-manufacturing of furniture. For these tasks, it is essential to encode tasks from human demonstration and reproduce these skills in a compliant and safe m
Externí odkaz:
http://arxiv.org/abs/2403.12720
Diffusion models have gained prominence in the image domain for their capabilities in data generation and transformation, achieving state-of-the-art performance in various tasks in both image and audio domains. In the rapidly evolving field of audio-
Externí odkaz:
http://arxiv.org/abs/2309.13166
It is known that Vilkovisky-DeWitt's effective action is gauge invariant off-shell and independent of quantum field parametrization. In this work, we perform the calculation of the divergences in two-loop Vilkovisky-DeWitt's effective action for the
Externí odkaz:
http://arxiv.org/abs/2304.08425
Graph Neural Networks (GNNs) have enjoyed wide spread applications in graph-structured data. However, existing graph based applications commonly lack annotated data. GNNs are required to learn latent patterns from a limited amount of training data to
Externí odkaz:
http://arxiv.org/abs/2303.11376
Autor:
Deepu Palal, Prerna Verma, Vallari Jadav, Gracia Sohkhlet, Hetal Rathod, Atul Desale, Sudhir L Jadhav, Subash Johnson, Sandeep Nallapu, Nirankush Borah
Publikováno v:
Medical Journal of Dr. D.Y. Patil Vidyapeeth, Vol 17, Iss 4, Pp 805-809 (2024)
Context: A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Department of Community Medicine was tasked with SARS-CoV2-IgG antibody serosurvey by Pimpri Chinchwad Municipal Corporation, sampling 5000 peo
Externí odkaz:
https://doaj.org/article/97536ec3268148cb9c7348eb2a9efad1
Publikováno v:
Plant Nano Biology, Vol 10, Iss , Pp 100112- (2024)
Nanofertilizers play a promising role in crop production by reducing the application amount and increasing the application efficiency. Understanding the transport of plant nutrients in the soil is crucial for effectively managing nanofertilizer appli
Externí odkaz:
https://doaj.org/article/9808b3bf9c564023b7001c4bfdbab816
Publikováno v:
AIP Advances, Vol 14, Iss 10, Pp 105317-105317-14 (2024)
The present study investigates surfactant–carrier interactions in non-aqueous ferrofluids with magneto-rheology at different temperatures. To the authors’ knowledge, such a study has not yet been reported. For this purpose, three ferrofluids—A,
Externí odkaz:
https://doaj.org/article/4ea1fb077a3546b1a65c88d859e3f7c5