Kavli Affiliate: Michael W. Young | Authors: Georgia F Papadaki, Claire H Woodward, Michael C Young, Trenton J Winters, George M Burslem and Nikolaos G Sgourakis | Summary: Human Tapasin (hTapasin) is the main chaperone of MHC-I molecules, enabling peptide loading and antigen repertoire optimization across HLA allotypes. However, it is restricted to the endoplasmic […]
Kavli Affiliate: Ali H. Brivanlou | Authors: Tiago L Laundos, Shu Li, Eric Cheang, Riccardo De Santis, Francesco M Piccolo and Ali H. Brivanlou | Summary: Huntington’s disease (HD) remains an incurable and fatal neurodegenerative disease long after CAG-expansion mutation in the huntingtin gene (HTT) was identified as the cause. The underlying pathological mechanism, whether […]
Kavli Affiliate: Philip Starr | Authors: Md Fahim Anjum, Clay Smyth, Derk-Jan Dijk, Philip Starr, Timothy Denison and Simon Little | Summary: Background: Sleep disturbance is a prevalent and highly disabling comorbidity in individuals with Parkinson’s disease (PD) that leads to worsening of daytime symptoms, accelerated disease progression and reduced quality of life. Objectives: We […]
Kavli Affiliate: David Linden | Authors: Daniel C de la Fuente, Claudia Tamburini, Emily Stonelake, William J Griffiths, Jeremy Hall, Michael J Owen, David E. J. Linden, Andrew Pocklington, Yuqin Wang and Meng Li | Summary: Dysregulation in neural progenitor proliferation and neuronal differentiation has been increasingly recognised as a common pathology in neural cells […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan | Summary: Brain graphs, which model the structural and functional relationships between brain regions, are crucial in neuroscientific and clinical applications involving graph classification. However, dense brain graphs pose computational challenges including high runtime and memory usage […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zichun Zhou, Chen Ming, Yi-Yang Sun, | Summary: Applications of machine learning techniques in materials science are often based on two key ingredients, a set of empirical descriptors and a database of a particular material property of interest. The advent of graph neural networks, such […]
Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]