Yu Gao

Olfactory Dysfunction Exacerbates Hippocampal Aβ Accumulation, Tau Phosphorylation and Memory Deficits in Mice

Miaomiao Du, Siyu Ma, Liping Bai, Xingyan Mou et autres

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A Multi-view Deep Survival Combined Model for Predicting Stroke Recurrence in Symptomatic Intracranial Atherosclerosis

Ziang Li, Ting‐Ting Huang, Lan Zhang, Xiaoyang Zhai et autres

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Leveraging chatgpt’ s advanced data analysis for forensic science research and applications

Jian Li, Shurui Zhang, Yu Gao, Qiu-xiang Du et autres

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Excitation Spectra of the ${}^{12}{\rm C}(p,d)$ Reaction near the $η'$-Meson Emission Threshold Measured in Coincidence with High-Momentum Protons

R. Sekiya, K. Itahashi, Y. K. Tanaka, S. Hirenzaki et autres

The missing mass of the ${}^{12}{\rm C}(p,d)$ reaction has been measured near the $η'$-meson emission threshold in coincidence with a high-momentum proton to selectively collect $η'$-${}^{11}{\rm C}$ mesic nucleus formation events at GSI, Germany. A 2.5 GeV proton excites a carbon nucleus …

Axion Star Bosenova in Axion Miniclusters

Zihang Wang, Yu Gao

Axionic dark matter can form structures known as miniclusters that host an axion star at their center. The axion star feeds on the host, and the axion star mass may grow beyond its stability limit, leading to a potential bosenova. Since a …

MRI-based habitat radiomics combined with vision transformer for identifying vulnerable intracranial atherosclerotic plaques and predicting stroke events: a multicenter, retrospective study

Yu Gao, Ziang Li, Xiaoyang Zhai, Gang Zhang et autres

Background: Accurate identification of high-risk vulnerable plaques and assessment of stroke risk are crucial for clinical decision-making, yet reliable non-invasive predictive tools are currently lacking. This study aimed to develop an artificial intelligence model based on high-resolution vessel wall imaging (HR-VWI) to …

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A meta-learning-based online adaptive fine-tuning VAE for industrial process data streams

Yu Gao, Wangyang Yu, Huaiping Jin

Data-driven deep learning soft sensor has been recognized as an efficient industrial modeling technique for addressing high-dimensional nonlinear problems. However, when confronted with industrial process data streams that simultaneously exhibit high nonlineality and strong time-varying characteristics, offline deep learning models with poor …

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Latching control strategies for improving performance of coupled linear-bistable wave energy converters

Yu Gao, Ke Li, Kun Liu, Ming Zhang et autres

The global climate change and increasing renewable energy demand have fueled research interest in enhancing the capture performance of Wave Energy Converters (WECs) through control mechanisms. In this paper, a latching control mechanism is introduced into a coupled linear-bistable WEC system for …

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A quality-relevant deep rule-based system with complementary lifelong learning for adaptive quality prediction in industrial semi-supervised process data streams

Yu Gao, Huaiping Jin, Zhiqiang Wang, Bin Wang et autres

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Samarium(II) Diiodide-Mediated Deoxygenation of Sulfoxides

Yu Gao, Fang Chai, Michal Szostak, Chengwei Liu

Samarium diiodide-mediated deoxygenative activation of sulfoxides by selective S–O cleavage to construct thioethers under mild room temperature conditions has been achieved. A broad variety of sulfoxides, including aryl–aryl, aryl–alkyl, aryl–alkenyl, and alkyl–alkyl sulfoxides, can be readily converted to the corresponding thioethers using …

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Axion Star Bosenova in Axion Miniclusters

Zihang Wang, Yu Gao

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Dark photon constraints from a 7.139 GHz cavity haloscope experiment

He Dong, Jie Qing Fan, Xin Gao, Yu Gao et autres

The dark photon is a promising candidate for the dark matter which comprises most of the matter in our visible Universe. Via kinetic mixing with the Standard Model it can also be resonantly converted to photons in an electromagnetic cavity, offering novel …

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