Zobrazeno 1 - 10
of 4 485
pro vyhledávání: '"Xiao Nong"'
Autor:
Annachiara Scalzone, Giorgia Cerqueni, Xiao Nong Wang, Kenny Dalgarno, Monica Mattioli-Belmonte, Ana M. Ferreira-Duarte, Piergiorgio Gentile
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Given the lack of in vitro models faithfully reproducing the osteoarthritis (OA) disease on-set, this work aimed at manufacturing a reliable and predictive in vitro cytokine-based Articular Cartilage (AC) model to study OA progression. Cell spheroids
Externí odkaz:
https://doaj.org/article/f0e2bdce08b54e4facbd4ed18c96c640
Publikováno v:
Electronics Letters, Vol 58, Iss 25, Pp 940-942 (2022)
Abstract Genomics data analysis requires efficient tools to address the vast amount of data generated by current next‐generation sequencing technologies. K‐mer counting works face difficulties in balancing high memory overhead with statistical pr
Externí odkaz:
https://doaj.org/article/f1207de2eb684ea59ed336f2d8de6d93
Autor:
An, Yuda, Yi, Shushu, Mao, Bo, Li, Qiao, Zhang, Mingzhe, Zhou, Ke, Xiao, Nong, Sun, Guangyu, Wang, Xiaolin, Luo, Yingwei, Zhang, Jie
Compute Express Link (CXL) serves as a rising industry standard, delivering high-speed cache-coherent links to a variety of devices, including host CPUs, computational accelerators, and memory devices. It is designed to promote system scalability, en
Externí odkaz:
http://arxiv.org/abs/2411.08312
Autor:
Wang, Yanjing, Wu, Lizhou, Hong, Wentao, Ou, Yang, Wang, Zicong, Gao, Sunfeng, Zhang, Jie, Ma, Sheng, Dong, Dezun, Qi, Xingyun, Lai, Mingche, Xiao, Nong
Compute eXpress Link (CXL) is a pivotal technology for memory disaggregation in future heterogeneous computing systems, enabling on-demand memory expansion and improved resource utilization. Despite its potential, CXL is in its early stages with limi
Externí odkaz:
http://arxiv.org/abs/2411.02282
Autor:
Sylvia Müller, Lyndsey Nicholson, Naif Al Harbi, Elena Mancuso, Elena Jones, Anne Dickinson, Xiao Nong Wang, Kenneth Dalgarno
Publikováno v:
BMC Biomedical Engineering, Vol 1, Iss 1, Pp 1-6 (2019)
In the original publication of this article [1] the figures and captions were linked incorrectly. In this correction article the figures & captions are correctly published.
Externí odkaz:
https://doaj.org/article/fcd4de3412484f1e8d7f7c6b3662cc33
Autor:
Sylvia Müller, Lyndsey Nicholson, Naif Al Harbi, Elena Mancuso, Elena Jones, Anne Dickinson, Xiao Nong Wang, Kenneth Dalgarno
Publikováno v:
BMC Biomedical Engineering, Vol 1, Iss 1, Pp 1-10 (2019)
Abstract Background Mesenchymal stromal cells (MSCs) are widely used in clinical trials for bone repair and regeneration. Despite previous evidence showing a prominent osteogenic potential of 2D cultured CD271 enriched MSCs, the osteogenic potential
Externí odkaz:
https://doaj.org/article/f23abfeedcbe46c19f645e3dd1df67ea
Autor:
Annette Abraham, Javier A Bustos, Hélène Carabin, Robert de Meijere, Priyadarshi S Sahu, Vedantam Rajshekhar, Gagandeep Singh, A Clinton White, Peter L Chiodini, Sarah Gabriël, Mamoun Homeida, Theodore Nash, Bernard Ngowi, Xiao Nong Zhou, Christina Coyle, Hector H Garcia, Andrea S Winkler
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 15, Iss 3, p e0009193 (2021)
Single brain enhancing lesions (SEL) are the most common presentation of neurocysticercosis (NCC) observed on neuroimaging in people presenting with epileptic seizures not only on the Indian sub-continent and in travelers returning from cysticercosis
Externí odkaz:
https://doaj.org/article/393ddf5c24f042fe87ad38d6eac62ea0
Most advances in medical image recognition supporting clinical auxiliary diagnosis meet challenges due to the low-resource situation in the medical field, where annotations are highly expensive and professional. This low-resource problem can be allev
Externí odkaz:
http://arxiv.org/abs/2402.03783
Autor:
Zheng, Fudan, Li, Mengfei, Wang, Ying, Yu, Weijiang, Wang, Ruixuan, Chen, Zhiguang, Xiao, Nong, Lu, Yutong
Automatic radiology report generation is booming due to its huge application potential for the healthcare industry. However, existing computer vision and natural language processing approaches to tackle this problem are limited in two aspects. First,
Externí odkaz:
http://arxiv.org/abs/2402.03754