Qiyu Wang

Geochronological, Geochemical and Sr–Nd–Hf Isotopic Constraints on the Neoproterozoic Mafic Magmatism in the Zhongza Terrane, SW China: Implications for Petrogenesis and Tectonic Setting

Hou Yunling, Li Jianghan, Qiyu Wang, He Juan et autres

Abstract The study of Neoproterozoic mafic magmatism in the western margin of the Yangtze Terrane is crucial for reconstructing the Rodinia Supercontinent. However, the origin and tectonic significance of these widespread Neoproterozoic magmatic suites remain debated. The key point of the debate …

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Nature‐Inspired Metastructure Design for Next‐Generation Lightweight Aerial Robots

Lingji Kong, H Wang, Rui Zou, X Zhao et autres

ABSTRACT Aerial robots operate in complex three‐dimensional environments, demonstrating high agility and maneuverability. Because aerial robots must continuously overcome gravitational and aerodynamic resistance, lightweight design is critical to flight efficiency, endurance, and adaptability. As next‐generation aerial robots evolve toward intelligence, miniaturization, and …

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Dual‐Substrate Synergistic Photocatalysis: Exogenous Reagent‐Free Co‐Removal of Phenol and Cr(VI) via Electron‐Donor‐Mediated Redox Coupling over Modified Carbon Nitride

Xiaoman Zhang, Qiyu Wang, Xiaodan Liu, Shuqi Wan et autres

ABSTRACT Traditional photocatalytic systems for pollutant removal depend on exogenous oxidants or sacrificial agents, hampering sustainability. Herein, we report an exogenous reagent‐free dual‐substrate cooperative strategy. Without adding external chemicals (e.g., methanol, sulfite), the target pollutant phenol is directly used as an endogenous …

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Influence of Cu content on Cu-rich phase evolution, tribological and mechanical properties of laser-clad FeCoCrNiMoCu high-entropy alloy coatings: A combined experimental and first-principles study

Mengzhao Li, Haitao Duan, Qiyu Wang, Changshun Wang et autres

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A Review on Optimization of Dynamic Electricity Price-Responsive Charging Load Driven by Deep Reinforcement Learning

Yudong Pu, Xinyi Zeng, Qiyu Wang, Yixin Tang

With the global ownership of electric vehicles (EVs) projected to exceed 300 million by 2030 [1], their high-power and spatiotemporally random charging loads pose severe challenges to the stability of power grids, and traditional optimization methods struggle to address the problems of …

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DRL-Based Dynamic Pricing Strategy for Electric Vehicle Charging Stations on the V2Sim Simulation Platform

Xinyi Zeng, Yixin Tang, Qiyu Wang, Tao Qian

This paper proposes a dynamic pricing strategy for electric vehicle charging stations based on PPO-LSTM, validated on the V2Sim high-fidelity simulation platform. The strategy combines the temporal modeling capability of LSTM with the continuous control of PPO, using real-time electricity prices as …

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PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors

Y. Li, Qiyu Wang, Xueqin Wang, Zheng-Zheng Tang

High-dimensional compositional data are ubiquitous in omics research. Microbiome sequencing experiments measure the relative abundances (proportions) of microbial features, while the absolute abundances within the ecosystem remain unobserved. Most regression methods with microbial relative abundance predictors rely on log-ratio transformations and typically …

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Robust detection of femtogram-level Alzheimer's biomarkers using machine learning-enhanced graphene biosensors

Qingzhou Liu, Yuheng He, Qiyu Wang, Hao Geng et autres

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Adaptive stratified sampling design in two-phase studies for average causal effect estimation

Min Zeng, Qiyu Wang, Zhumei Sui, Hong Zhang et autres

Causal inference using observational data often suffers from numerous confounding effects, with greatly distorted average causal effect (ACE) estimates if the confounders are ignored. Information on some confounders, such as genetic biomarkers and medical imaging, is prohibitively expensive to obtain in practice. …

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A memristive hopfield neural network with heterogeneous autapses: dynamics, FPGA implementation and application

Qiyu Wang, Fuhong Min, Xilin Yang

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Recent Advances in Improving the Alkaline Oxygen Reduction Performance of Atomically Dispersed Metal–Nitrogen–Carbon Catalysts

Jian Chen, Zheng Li, Xiong Du, Mengran Wang et autres

Atomically dispersed metal-nitrogen-carbon (M-N-C) catalysts are regarded as ideal catalytic materials for the oxygen reduction reaction (ORR) under alkaline conditions. Compared with other ORR catalysts, M-N-C catalysts exhibit notable advantages, including low cost, high atomic utilization efficiency, and considerable catalytic potential. We …

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A Thresholded Graph Connectivity Factor, the Jump Effect in Quantile Pricing, Phase Transition Breakup Points, and the Beta Premium

Qiyu Wang

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