Zobrazeno 1 - 10
of 6 169
pro vyhledávání: '"Hian In"'
Publikováno v:
Journal of Microbiology Immunology and Infection, Vol. 57, No. 2, pp. 225-237, 2024
The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe acute respira
Externí odkaz:
http://arxiv.org/abs/2408.09555
Digital quantum computers promise exponential speedups in performing quantum time-evolution, providing an opportunity to simulate quantum dynamics of complex systems in physics and chemistry. However, the task of extracting desired quantum properties
Externí odkaz:
http://arxiv.org/abs/2405.10528
Autor:
Hian, Michael Lim Kee, Lin, Ten Wei, Xuan, Zachary Wu, Loy, Stephanie-Ann, Xiang, Maoyang, Teo, T. Hui
The goal of this project is to design a digital dice that displays dice numbers in real-time. The number is generated by a pseudo-random number generator (PRNG) using XORshift algorithm that is implemented in Verilog HDL on an FPGA. The digital dice
Externí odkaz:
http://arxiv.org/abs/2405.00308
Publikováno v:
Journal of the American Chemical Society, Vol. 145, No. 46, pp. 25033-25042, 2023
Programmable biomolecule-mediated computing is a new computing paradigm as compared to contemporary electronic computing. It employs nucleic acids and analogous biomolecular structures as information-storing and -processing substrates to tackle compu
Externí odkaz:
http://arxiv.org/abs/2401.15669
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:26640-26660, 2024
Traditionally, graph neural networks have been trained using a single observed graph. However, the observed graph represents only one possible realization. In many applications, the graph may encounter uncertainties, such as having erroneous or missi
Externí odkaz:
http://arxiv.org/abs/2310.16401
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 10268-10279 (2024)
ABSTRACT: This study examined the effects of incorporating milk protein concentrate (MPC) or pea or soy proteins isolates (PPI and SPI) on the physicochemical, sensory properties, and AA composition of ice creams containing 7% protein, compared with
Externí odkaz:
https://doaj.org/article/368835012aec43c0b3768820ad99fc7d
Autor:
Priti Mishra, Suresh Anand Sadananthan, Jadegoud Yaligar, Kok Hian Tan, Yap Seng Chong, Peter D. Gluckman, Keith M. Godfrey, Marielle V. Fortier, Johan G. Eriksson, Jerry Kok Yen Chan, Shiao-Yng Chan, Dennis Wang, S. Sendhil Velan, Navin Michael
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background It is not clear if conventional liver fat cutoff of 5.56% weight which has been used for identifying fatty liver in western populations is also applicable for Asians. In Asian women of reproductive age, we evaluate the optimum met
Externí odkaz:
https://doaj.org/article/67970fade8a54751814088214b4b0629
Autor:
Li Chen, Karen Mei-Ling Tan, Jia Xu, Priti Mishra, Sartaj Ahmad Mir, Min Gong, Kothandaraman Narasimhan, Bryan Ng, Jun Shi Lai, Mya Thway Tint, Shirong Cai, Suresh Anand Sadananthan, Navin Michael, Jadegoud Yaligar, Sambasivam Sendhil Velan, Melvin Khee Shing Leow, Kok Hian Tan, Jerry Chan, Michael J. Meaney, Shiao-Yng Chan, Yap Seng Chong, Johan G. Eriksson
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-23 (2024)
Abstract Background Phenotypic age (PhenoAge), a widely used marker of biological aging, has been shown to be a robust predictor of all-cause mortality and morbidity in different populations. Existing studies on biological aging have primarily focuse
Externí odkaz:
https://doaj.org/article/6defb1bd386640e19071f9784ae948ba
In node classification using graph neural networks (GNNs), a typical model generates logits for different class labels at each node. A softmax layer often outputs a label prediction based on the largest logit. We demonstrate that it is possible to in
Externí odkaz:
http://arxiv.org/abs/2305.00139
In graph neural networks (GNNs), both node features and labels are examples of graph signals, a key notion in graph signal processing (GSP). While it is common in GSP to impose signal smoothness constraints in learning and estimation tasks, it is unc
Externí odkaz:
http://arxiv.org/abs/2304.03507