Yuanyuan Zhang

Statistical inference for the nonstationary spatial series via cumulative distribution function

Yuanyuan Zhang, Yufei Wu, Siyu Li, Jingru Mu

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Non-asymptotic confidence region construction in metric spaces

Hao Dong, Huiming Zhang, Yuanyuan Zhang

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Research progress on natural products in regulating the gut microbiota in Parkinson’s disease

Ying Jia, Yuanyuan Zhang, Xin You Tai, Hanwen Zhang et autres

Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with α-synuclein deposition and dopaminergic neuron degeneration. Recent studies have revealed a close correlation between gut microbiota dysbiosis and the pathogenesis and progression of PD. Gut microbiota may influence the disease through multiple …

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Disruption of gut microbiome and metabolome in treatment-naïve children with attention deficit hyperactivity disorder

Dingding Han, Yuanyuan Zhang, Wenxin Liu, Jiaqi Hu et autres

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with an increasing prevalence in children. Recent studies have suggested that the gut microbiota may play a significant role in the development of ADHD. However, the specific relationship between changes in intestinal …

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Oracally Efficient Estimation and Consistent Model Selection for Spatial ARMA Process With Bivariate Trend

Tong Zhang, Yuanyuan Zhang, Chen Zhong

ABSTRACT The analysis of nonlinearity in spatial and spatial‐temporal data continues to be a challenging topic. This article introduces a two‐step estimation procedure for modeling nonstationary spatial processes that comprise a smooth bivariate trend function and a spatial autoregressive and moving average …

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Adaptive Exploration Deep Q-Network for AGV Path Planning in Dynamic Environments Using 3D Convolutional Neural Networks

Donghui Yu, Xinyu Wang, Tianyu Zhang, Yuanyuan Zhang

This paper addresses the AGV path planning problem in dynamic environments using deep reinforcement learning. An improved deep Q-network (DQN), AEDQN (Adaptive Exploration DQN), is proposed, incorporating an adaptive epsilon and a heuristic exploration strategy to balance exploration and exploitation while avoiding …

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Construction of an Artificial Intelligence-Powered Practical Training Platform for Humanoid Robot-Assisted Design in the Context of Discipline-Specific Competitions

Yuanyuan Zhang, X. L. Zhang, Huoming Shen

As a quintessential representative of physical general artificial intelligence systems, humanoid robots are a crucial manifestation of artificial intelligence in physical space and serve as key equipment. This paper, grounded in high-level academic competitions, focuses on the field of AI-enabled humanoid robot-assisted …

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The influencing factors of college students’ legal emotion and the mechanism of its effect on aggressive behavior

Shuhui Xu, Junwen Yu, Lu Fan, Qingmei Yang et autres

Current research has increasingly focused on the preventive role of individual legal socialization in crime. The socialization of legal emotions is an important part of legal socialization. Building upon existing literature, this study, conducted through two sub-studies, investigated the influencing factors of …

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Estimation and inference in functional varying-coefficient single-index quantile regression models

Hanbing Zhu, Tong Zhang, Yuanyuan Zhang, Heng Lian

We propose a flexible functional varying-coefficient single-index quantile regression model where the functional covariates of the linear part have time-varying coefficients and the single-index component offers great model flexibility in data analysis while circumventing the curse of dimensionality. The proposed model includes …

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Obesity Exacerbates Acute Gastrointestinal Injury and Intestinal Barrier Dysfunction in Early-Stage Acute Pancreatitis

Qing Huang, Zhe Bao Wu, Yuanyuan Zhang, Yun Wu et autres

BACKGROUND: The impact of obesity on the severity of acute pancreatitis and subsequent acute gastrointestinal injury remains an important consideration. This study aimed to determine the clinical relationship between obesity and acute gastrointestinal injury in earlystage acute pancreatitis. METHODS: This was a …

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Semiparametric function-on-function quantile regression model with dynamic single-index interactions

Hanbing Zhu, Yuanyuan Zhang, Yehua Li, Heng Lian

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Asymptotics of Subsampling for Generalized Linear Regression Models under Unbounded Design

Guangqiang Teng, Boping Tian, Yuanyuan Zhang, Sheng Fu

The optimal subsampling is an statistical methodology for generalized linear models (GLMs) to make inference quickly about parameter estimation in massive data regression. Existing literature only considers bounded covariates. In this paper, the asymptotic normality of the subsampling M-estimator based on the …

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