Zobrazeno 1 - 10
of 350
pro vyhledávání: '"WU Anqi"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 3, Pp 333-341 (2023)
Objective·To systematically evaluate the application of return-to-work intervention programs to young and middle-aged cancer survivors and its effectiveness in improving work-related outcomes in cancer survivors.Methods·An initial literature search
Externí odkaz:
https://doaj.org/article/4be8661f9aa044b38b07584df0bfc9c8
Understanding the neural basis of behavior is a fundamental goal in neuroscience. Current research in large-scale neuro-behavioral data analysis often relies on decoding models, which quantify behavioral information in neural data but lack details on
Externí odkaz:
http://arxiv.org/abs/2410.09614
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 472-480 (2021)
Tripartite motif 28 (TRIM28) plays a role in multiple biological functions. The expression and function of TRIM28 in breast carcinoma (BC) remain unclear. The aim of this study was to explore potential association of TRIM28 with tumor features and su
Externí odkaz:
https://doaj.org/article/bc18c5e095d341b482a40b507090c51e
Gaussian Processes (GPs) and Linear Dynamical Systems (LDSs) are essential time series and dynamic system modeling tools. GPs can handle complex, nonlinear dynamics but are computationally demanding, while LDSs offer efficient computation but lack th
Externí odkaz:
http://arxiv.org/abs/2407.00397
Autor:
Huang, Shuo, MacLean, William, Kang, Xiaoxi, Wu, Anqi, Qu, Lizhen, Xu, Qiongkai, Li, Zhuang, Yuan, Xingliang, Haffari, Gholamreza
Increasing concerns about privacy leakage issues in academia and industry arise when employing NLP models from third-party providers to process sensitive texts. To protect privacy before sending sensitive data to those models, we suggest sanitizing s
Externí odkaz:
http://arxiv.org/abs/2406.03749
Simulation-to-reality (sim-to-real) transfer is a fundamental problem for robot learning. Domain Randomization, which adds randomization during training, is a powerful technique that effectively addresses the sim-to-real gap. However, the noise in ob
Externí odkaz:
http://arxiv.org/abs/2402.06783
Studying the complex interactions between different brain regions is crucial in neuroscience. Various statistical methods have explored the latent communication across multiple brain regions. Two main categories are the Gaussian Process (GP) and Line
Externí odkaz:
http://arxiv.org/abs/2402.02686
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
The partially observable generalized linear model (POGLM) is a powerful tool for understanding neural connectivity under the assumption of existing hidden neurons. With spike trains only recorded from visible neurons, existing works use variational i
Externí odkaz:
http://arxiv.org/abs/2402.01263
Maximizing the log-likelihood is a crucial aspect of learning latent variable models, and variational inference (VI) stands as the commonly adopted method. However, VI can encounter challenges in achieving a high log-likelihood when dealing with comp
Externí odkaz:
http://arxiv.org/abs/2311.02516
Exposing meaningful and interpretable neural interactions is critical to understanding neural circuits. Inferred neural interactions from neural signals primarily reflect functional interactions. In a long experiment, subject animals may experience d
Externí odkaz:
http://arxiv.org/abs/2310.15263