Qian Han

Integrated plasma proteomic drives Risk stratification and phenotypic trajectory in ILD

Junfeng Huang, Zikai Lin, Huijie Yang, Yu He et autres

Introduction: Interstitial lung disease (ILD) encompasses heterogeneous disorders with poorly defined biomarkers, limiting early diagnosis and classification of disease behavior. Aims and objectives: Our aim is to integrate plasma proteomics to reveal ILD biomarkers and predictive risk stratification, uncovering molecular subtypes. Methods: …

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Scalable, Light Rechargeable Energy Storage Based on Osmotic Effects and Photochemical Reactions in a Hair‐Thin Filament

Puguang Peng, Qian Han, Feiyao Yang, Di Wei

Abstract Scalable high‐performance distributed energy management systems (DERMS) on one micron‐scale fiber pose significant challenges. Here, an ultrafine single filamentary iontronic power source (10 µm thickness) is presented that utilizes ion transport within graphene oxide (GO) nanoconfined channels and silver halide interfacial …

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Photochemical iontronics with multitype ionic signal transmission at single pixel for self-driven color and tridimensional vision

Puguang Peng, Penghui Shen, Qian Han, Jiajin Liu et autres

Most electronics and iontronics are high-throughput limited due to using electron or single-type ions for signal transmission. To store information within ions, a mechanism for transmission and processing of multitype ionic signals is needed to achieve integrated bio-functional iontronics. Here, we introduce …

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Osmotic power generation based on nanoconfined materials

Lixue Yang, Shaoxin Li, Qian Han, Zhe Wang et autres

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Horizontal Transport in Ti3C2Tx MXene for Highly Efficient Osmotic Energy Conversion from Saline‐Alkali Environments

Qian Han, Puguang Peng, Hongzhao Fan, Zhe Yang et autres

Abstract Osmotic energy from the ocean has been thoroughly studied, but that from saline‐alkali lakes is constrained by the ion‐exchange membranes due to the trade‐off between permeability and selectivity, stemming from the unfavorable structure of nanoconfined channels, pH tolerance, and chemical stability …

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Horizontal Transport in Ti3C2Tx MXene for Highly Efficient Osmotic Energy Conversion from Saline‐Alkali Environments

Qian Han, Puguang Peng, Hongzhao Fan, Zhe Yang et autres

Abstract Osmotic energy from the ocean has been thoroughly studied, but that from saline‐alkali lakes is constrained by the ion‐exchange membranes due to the trade‐off between permeability and selectivity, stemming from the unfavorable structure of nanoconfined channels, pH tolerance, and chemical stability …

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MOFs/MXene nano-hierarchical porous structures for efficient ion dynamics

Lixue Yang, Leo N.Y. Cao, Shaoxin Li, Puguang Peng et autres

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Bioinspired ionic control for energy and information flow

Puguang Peng, Qian Han, Jiajin Liu, Zhong Lin Wang et autres

The control of ion transport by responding to stimulus is a necessary condition for the existence of life.Bioinspired iontronics could enable anomalous ion dynamics in the nanoconfined spaces, creating many efficient energy systems and neuromorphic in-sensor computing networks.Unlike traditional electronics based on …

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Bionic iontronics based on nano-confined structures

Qian Han, Di Wei, Zhong Lin Wang

The Moore’s law in silicone-based electronics is reaching its limit and the energy efficiency of the most sophisticated electronics to mimic the iontronic logic circuit in single-celled organisms is still inferior to their natural counterpart. Unlike electronics, iontronics is widely present in …

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A Novel Version of Sampling-based Motion Planner for Manipulation with Faster Initial Solution and Convergence

Guoqiang Zhao, Xiangzhou Wang, Shuhua Zheng, Qian Han

This paper presents, Anytime Fast-BIT* (AFBIT*), a sampling based, asymptotically optimal manipulation motion planner which quickly finds an initial feasible path and rapidly improves the path quality toward optimality. AFBIT* is guided by modified heuristics in task space for faster first solution. …

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Combining traditional machine learning and anomaly detection for several imbalanced Android malware dataset's classification

Yiwei Gan, Qian Han, Yumeng Gao

As the number of mobile devices has exploded in recent years, so has the amount of advanced Android malware. Among the popular Android malware on the market today, click fraud malware, adware, banking Trojans, spyware, etc. are usually disguised and hidden in …

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Hybrid Classification and Clustering Algorithm on Recent Android Malware Detection

jiezhong xiao, Qian Han, Yumeng Gao

With the explosion in the popularity of smartphones over the previous decade, mobile malware appears to be unavoidable. Because Android is an open platform that is fast dominating other rival platforms (e.g. iOS) in the mobile smart device industry, Android malware has …

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