Xuan Deng

Seed motion and airflow characteristics in a centralized pneumatic seed-metering device for rice using CFD-DEM coupled approach and bench testing

Xiaolong Lei, Peixu Zhu, Xuan Deng, Mengliang Li et autres

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Association of Longitudinal Change in Fasting Blood Glucose with Risk of Cerebral Infarction in a Patients with Diabetes.

Tai Yang Luo, Xuan Deng, Xue Yu Chen, Yahui Liu et autres

Objective: To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study. Methods: This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) …

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A Novel Smart Grid Stability Prediction Method Based Ensemble Learning in Virtual Power Plants

Wuxiao Chen, Chenhan Zhang, Lingling Zhu, Zhijun Jiang et autres

Stability prediction for smart grids is a critical issue in the energy sector, with significant implications for national energy security and daily life. As power systems evolve toward more intelligent and automated frameworks, such as virtual power plants (VPPs), predicting when the …

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Thermodynamic insights and heat integration analysis of the pressure-swing distillation process for the ethanol/acetonitrile/benzene system under different feed compositions

Xuan Deng, Nan Hu, Shuang Zhao, Xing Yuan et autres

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Profiles of echocardiographic features associated with blood pressure in patients with hypertension

Wenyan Zhao, Ping Zhou, Ziyu Wang, Xuan Deng et autres

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A simple score, CKM2S2-BAG, to predict cardiovascular risk with cardiovascular-kidney-metabolic health metrics

Yang Chun Zhao, Pan Zhou, Fangfang Fan, Yiming Hao et autres

The 2023 American Heart Association (AHA) Health Presidential Advisory recommends risk assessment of cardiovascular disease (CVD) within the context of Cardiovascular-Kidney-Metabolic syndrome (CKMS). However, an intuitive and easy-to-use risk score incorporating CKM health metrics remains needed to prevent CVD in daily practice. …

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Ambipolar degeneracy breaking via surface acoustic wave-driven bidirectional carrier transport in optically reconfigurable MoTe 2/h-BN heterostructure

Xuchen Han, Yan Wang, Haoyue Lu, Xuan Deng et autres

Two-dimensional (2D) materials hold immense potential for next-generation information devices due to their ambipolar transport and tunable electronic states. However, conventional electric-field-driven architectures suffer from inherent carrier-type degeneracy: electrons and holes generate unidirectional currents, leading to ambiguous state overlaps in multi-level operation. …

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Optimization Algorithm of Industrial Multi-Objective Centralized Maintenance for Power Grid Stability

Chenhan Zhang, Zhijun Jiang, Yuqing Cai, Xuan Deng et autres

Traditional power grid maintenance methods mostly use regular power outages for maintenance, which often involve large-scale power outages within a predetermined time period, causing industrial enterprises to inevitably stop production for a long time. Especially when the load is high or important …

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Multi-objective scheduling algorithm of demand-side power resources considering multi-industry load characteristics

Wuxiao Chen, Shian Zhan, Xuan Deng, Chenhan Zhang et autres

The imbalance between supply and demand of demand-side power resources in power system leads to large power load, unstable power load and low completion rate of multi-objective scheduling. Therefore, this paper designs a multi-objective scheduling algorithm for demand-side power resources considering multi-industry …

Prediction and multi-objective optimization of sieve tray hydrodynamic performance based on deep learning

Yuan Xing, Xuan Deng, Kehan Wang, Zhongwei Ding et autres

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Microstructure Abnormalities of Diffusion Tensor Imaging Measures in First‐Episode, Treatment‐Naïve Adolescents With Major Depressive Disorder: An Integrated AFQ and TBSS Study

Zhang Wenjie, Chan Zhang, Jinyuan Zhao, Jinji Bai et autres

PURPOSE: Structural changes during depressive episodes in adolescents with major depressive disorder (MDD) remains unclear due to participant heterogeneity, illness chronicity, and medication confounders. This study aimed to explore white matter (WM) microstructural changes in first-episode, treatment-naïve adolescents with MDD using an …

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Author response for "Microstructure Abnormalities of Diffusion Tensor Imaging Measures in First‐Episode, Treatment‐Naïve Adolescents With Major Depressive Disorder: An Integrated AFQ and TBSS Study"

Zhang Wenjie, Chan Zhang, Jinyuan Zhao, Jinji Bai et autres