Zobrazeno 1 - 10
of 733
pro vyhledávání: '"Anh, Vo"'
Publikováno v:
Agriculture & Food Security, Vol 13, Iss 1, Pp 1-11 (2024)
Abstract Background Reducing poverty and ensuring food security are critical sustainable development goals for countries like Vietnam. However, research investigating the relationship between these goals remains limited. This study seeks to explore t
Externí odkaz:
https://doaj.org/article/da7ba2c36c4c4e368ffca2f2f11dc120
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 2C, Pp 5-15 (2024)
This paper discusses the difficulties and solutions perceived by English-majored students when it comes to developing their speaking skills. To uncover and analyze these problems, one hundred fifty-seven students and five English lecturers at Vinh
Externí odkaz:
https://doaj.org/article/366c9c15c2864ab3b00798a70173ff50
Autor:
Tamara L. Baker, David K. Wright, Alessandro D. Uboldi, Christopher J. Tonkin, Anh Vo, Trevor Wilson, Stuart J. McDonald, Richelle Mychasiuk, Bridgette D. Semple, Mujun Sun, Sandy R. Shultz
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-31 (2024)
Abstract Traumatic brain injury (TBI) is a key contributor to global morbidity that lacks effective treatments. Microbial infections are common in TBI patients, and their presence could modify the physiological response to TBI. It is estimated that o
Externí odkaz:
https://doaj.org/article/dd19e4fc213b4406a1fdbe90f4f928eb
In the continuous time random walk model, the time-fractional operator usually expresses an infinite waiting time probability density. Different from that usual setting, this work considers the tempered time-fractional operator, which reflects a fini
Externí odkaz:
http://arxiv.org/abs/2112.07814
This paper develops a fractional stochastic partial differential equation (SPDE) to model the evolution of a random tangent vector field on the unit sphere. The SPDE is governed by a fractional diffusion operator to model the L\'{e}vy-type behaviour
Externí odkaz:
http://arxiv.org/abs/2107.03717
Publikováno v:
SN Applied Sciences, Vol 5, Iss 11, Pp 1-21 (2023)
Abstract Federated Learning (FL) is a recent Machine Learning method for training with private data locally stored in distributed machines without gathering them into one place for central learning. Because FL depends on a central server for repeated
Externí odkaz:
https://doaj.org/article/c4adeb6d8eed4731bb2150370e5c2848
Publikováno v:
In Fuel 15 May 2024 364
Publikováno v:
In Applied Mathematical Modelling May 2024 129:169-190
Autor:
Anh Vo, Thi Thuy, Joseph, Nathan Lael
Publikováno v:
In The British Accounting Review July 2024
Publikováno v:
In Journal of Hydro-environment Research January 2024 52:1-16