Yingying Yin

City University of Hong Kong

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i-10 index

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Co-Authors

Yonggui Yuan

Zhongda Hospital Southeast University

Zhenghua Hou

First Hospital of Jilin University

Zhijun Zhang

Shanxi Academy of Medical Sciences

Chunming Xie

Zhongda Hospital Southeast University

Yuqun Zhang

Nanjing University of Chinese Medicine

Congju Li

University of Science and Technology Beijing

Yingying Yue

Zhongda Hospital Southeast University

Yan‐Song Liu

Institute of Oceanology

Haitang Qiu

First Affiliated Hospital of Chongqing Medical University

Chao‐Gan Yan

Institute of Psychology, Chinese Academy of Sciences

Cooperative Institutions

Chinese Academy of Sciences

Zhongda Hospital Southeast University

University of Chinese Academy of Sciences

Southeast University

Central South University

Shanghai Jiao Tong University

Zhejiang University

Nanjing Medical University

Sichuan University

Sun Yat-sen University

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Stretchable and Tailorable Triboelectric Nanogenerator Constructed by Nanofibrous Membrane for Energy Harvesting and Self‐Powered Biomechanical Monitoring

Advanced Materials Technologies (2018)

Yingying Yin Jiaona Wang Shuyu Zhao Wei Fan Xiuling Zhang

Abstract Wearable triboelectric nanogenerators (TENGs) with both functionality and comfort have become an appealing field of research for portable electronic devices recently. Here, a breathable, stretchable, and tailorable TENG that enables both energy harvesting and biomechanical monitoring is designed. Two layers of nanofiber membranes, which consist of polyvinylidene fluoride supported by conducting fabric and thermoplastic polyurethanes (TPU) supported by Ag elastic fabric, are welded into arch structures through ultrasonic welding technique. As the bottom layer of the arch, the TPU/Ag layer with consistent stretchability guarantees the stretchable of the TENG. Therefore, the TENG can collect various types of irregular movements, such as stretching, pressing, and twisting motions, even the combination of the above all motions. Under twisting stretch, the open‐circuit voltage and short‐circuit current of one basic unit can reach up to 170 V and 4.5 µA, respectively. Besides, the welded TENG is tailorable and it still maintains certain output even if it is partially cut or damaged. The continuous arch‐structured TENGs can also be used as self‐powered motion sensors to constantly monitor the intensity and frequency of human body movements. Thus, this work opens up a new idea for preparation of wearable TENG with both multifunction and better comfort.

Nanogenerator

Electronic Skin

Stretchable electronics

Wearable Technology

10.1002/admt.201700370

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Citations (53)

Transparent and Flexible Triboelectric Sensing Array for Touch Security Applications

ACS Nano (2017)

Zuqing Yuan Tao Zhou Yingying Yin Ran Cao Congju Li

Tactile sensors with large-scale array and high sensitivity is essential for human–machine interaction, smart wearable devices, and mobile networks. Here, a transparent and flexible triboelectric sensing array (TSA) with fingertip-sized pixels is demonstrated by integrating ITO electrodes, FEP film, and signal transmission circuits on an undivided palm-sized polyethylene terephthalate substrate. The sensing pixels can be triggered by the corresponding external contact to induce the electrostatic potential in the transparent electrodes without power consumption, which is individually recognized by the sensor. By testing the response of the pixels, the electrical characterization is systematically investigated. The proposed TSA exhibits excellent durability, independence, and synchronicity, which is able to realize real-time touch sensing, spatial mapping, and motion monitoring. The integrated TSA has great potential for an active tactile system, human–machine interface, wearable electronics, private communication, and advanced security identification.

Wearable Technology

Tactile sensor

SIGNAL (programming language)

Flexible Electronics

10.1021/acsnano.7b03680

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Citations (98)

Hybridized Nanogenerators for Harvesting Vibrational Energy by Triboelectric–Piezoelectric–Electromagnetic Effects

Advanced Materials Technologies (2018)

Xinyu Du Shuyu Zhao Yi Xing Nianwu Li Jiaona Wang

Abstract Harvesting and utilizing the wasted ambient environmental energy can be a feasible solution for continuous operation of distributed sensors that require sustainable power sources. Vibrational mechanical energy is the most ubiquitous energy source in the environment. Therefore, it is important to develop a method to efficiently collect vibrational energy. Here, a hybridized nanogenerator based on triboelectric–piezoelectric–electromagnetic effects for the highly efficient conversion of vibrational mechanical energy into electricity is reported. Integrating with transformers and rectifiers, the hybridized nanogenerator can deliver a power density up to 100 W m −3 . Through a power management circuit integrated into the hybridized nanogenerator, a continuous direct current (DC) output is achieved, providing sufficient DC power for driving a radio‐frequency wireless tire‐pressure monitoring system and other conventional electronics. This work takes a significant step toward ubiquitous vibrational energy harvesting and its potential applications in self‐powered wireless sensor networks.

Nanogenerator

Vibrational energy

Mechanical energy

10.1002/admt.201800019

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Citations (38)

A Flexible, Lightweight, and Wearable Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Advanced Materials Technologies (2018)

Fan Wu Congju Li Yingying Yin Ran Cao Hui Li

Abstract Triboelectric nanogenerators (TENGs), which collect the energy neglected constantly in the daily life of humans, have been applied to various fields, such as energy harvesting, self‐powered sensing, and environmental monitoring. With the growing demand for lightweight, flexible, and portable electric devices, TENGs have become a hot topic. In this work, a flexible, lightweight, and wearable TENG combining a nickel conductive mesh and a perfluorinated ethylene‐propylene film via the ultrasonic‐welding technique is presented. The TENG with an arch‐bridge shape is in possession of plenty of excellent properties, including high output, resistance to destruction, and long‐term stability, which not only owns a maximum power density of 36 mW m −2 at the optimal matching load impedance of 9 MΩ, but can also power a scientific calculator and 19 LEDs connected in series. Furthermore, the TENG could be used as a self‐powered sensor to remotely control the state of electric fans or bulbs through a wireless sensing system.

Nanogenerator

Mechanical energy

10.1002/admt.201800216

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Citations (39)

A Dual‐Salt Gel Polymer Electrolyte with 3D Cross‐Linked Polymer Network for Dendrite‐Free Lithium Metal Batteries

Advanced Science (2018)

Wei Fan Nianwu Li Xiuling Zhang Shuyu Zhao Ran Cao

Lithium metal batteries show great potential in energy storage because of their high energy density. Nevertheless, building a stable solid electrolyte interphase (SEI) and restraining the dendrite growth are difficult to realize with traditional liquid electrolytes. Solid and gel electrolytes are considered promising candidates to restrain the dendrites growth, while they are still limited by low ionic conductivity and incompatible interphases. Herein, a dual-salt (LiTFSI-LiPF

Lithium metal

Dendrite (mathematics)

Polymer Electrolytes

10.1002/advs.201800559

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Citations (251)

Prognostic value of imbalanced interhemispheric functional coordination in early therapeutic efficacy in major depressive disorder

Psychiatry Research Neuroimaging (2016)

Zhenghua Hou Xiaopeng Song Wenhao Jiang Yingying Yue Yingying Yin

Postcentral gyrus

Precentral gyrus

Superior frontal gyrus

Superior temporal gyrus

10.1016/j.pscychresns.2016.07.011

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Citations (21)

Lithium-Ion Batteries: Charged by Triboelectric Nanogenerators with Pulsed Output Based on the Enhanced Cycling Stability

ACS Applied Materials & Interfaces (2018)

Xiuling Zhang Xinyu Du Yingying Yin Nianwu Li Wei Fan

The triboelectric nanogenerator (TENG) has been used to store its generated energy into lithium-ion batteries (LIBs); however, the influences of its pulse current and high voltage on LIB polarization and dynamic behaviors have not been investigated yet. In this paper, it is found that LIBs based on the phase transition reaction of the lithium storage mechanism [LiFePO4 (LFP) and Li4Ti5O12 (LTO) electrodes] are more suitable for charging by TENGs. Thus, the enhanced cycling capacity, Coulombic efficiency (nearly 100% for LTO electrode), and energy storage efficiency (85.3% for the LFP-LTO electrode) are successfully achieved. Moreover, the pulse current has a positive effect on the increase of the Li-ion extraction, reducing the charge-transfer resistance ( Rct) for all studied electrodes as well (LFP, LiNi0.6Co0.2Mn0.2O2, LTO, and graphite). The excellent cyclability, high Coulombic, and energy storage efficiencies demonstrated the availability of storing pulsed energy generated by TENGs. This research has provided a promising analysis to obtain an enhanced charging methodology, which provides significant guidance for the scientific research of the LIBs.

Cycling

10.1021/acsami.7b18736

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Citations (20)

Research on the Quality Grading Method of Ginseng with Improved DenseNet121 Model

Electronics (2024)

Jia-Yao Gu Zhiyi Li Lijuan Zhang Yingying Yin Yan Lv

Ginseng is an important medicinal plant widely used in traditional Chinese medicine. Traditional methods for evaluating the visual quality of ginseng have limitations. This study presents a new method for grading ginseng’s appearance quality using an improved DenseNet121 model. We enhance the network’s capability to recognize various channel features by integrating a CA (Coordinate Attention) mechanism. We also use grouped convolution instead of standard convolution in dense layers to lower the number of model parameters and improve efficiency. Additionally, we substitute the ReLU (Rectified Linear Unit) activation function with the ELU (Exponential Linear Unit) activation function, which reduces the problem of neuron death related to ReLU and increases the number of active neurons. We compared several network models, including DenseNet121, ResNet50, ResNet101, GoogleNet, and InceptionV3, to evaluate their performance against our method. Results showed that the improved DenseNet121 model reached an accuracy of 95.5% on the test set, demonstrating high reliability. This finding provides valuable support for the field of ginseng grading.

Grading (engineering)

10.3390/electronics13224504

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Citations (0)

A Colored Temperature‐Adaptive Cloak for Year‐Round Building Energy Saving

Advanced Energy Materials (2024)

Yingying Yin Pengcheng Sun Yijun Zeng Meng Yang Shouwei Gao

Abstract Achieving year‐round energy savings in buildings holds great significance toward reaching carbon neutrality and sustainability. Switchable thermal‐management materials offer an energy‐free solution to dynamically regulating internal building temperatures, by passively emitting heat into cold outer space in summer, and absorbing heat from hot sunlight in winter. In addition to dynamic thermal regulation, color display is another pursuit for addressing aesthetic considerations; however, most current dynamically switchable materials lack color options, due to an optical conflict between adaptive solar reflection and selective visible absorption, limiting their wide adoption in aesthetic scenarios such as commercial exterior walls. Herein, a colored temperature‐adaptive cloak (CTAC) that achieves dynamically switchable thermal management in an energy‐neutral way without sacrificing year‐round vibrant color display is reported. This is realized by decoupling solar reflectivity modulation and color display through the choice of two individual constituent components, including thermochromic microcapsules, and fluorescent dyes. Moreover, compared to single‐mode samples with similar colors, the CTAC with dual modes stays 5.6–3.4 °C warmer during cold winter and 14.9–7.9 °C cooler during hot summer (peak solar irradiance: ≈735 and 1030 W m −2 , respectively), exhibiting a remarkable potential to achieve year‐round building energy savings.

Colored

Cloak

10.1002/aenm.202402202

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Citations (5)

Predicting Response to Group Cognitive Behavioral Therapy in Asthma by a Small Number of Abnormal Resting-State Functional Connections

Frontiers in Neuroscience (2020)

Yuqun Zhang Kai Ma Yuan Yang Yingying Yin Zhenghua Hou

Group cognitive behavioral therapy (GCBT) is a successful psychotherapy for asthma. However, response varies considerably among individuals, and identifying biomarkers of GCBT has been challenging. Thus, the aim of this study was to predict an individual's potential response by using machine learning algorithms and functional connectivity (FC) and to improve the personalized treatment of GCBT. We use the lasso method to make the feature selection in the functional connections between brain regions, and we utilize t-test method to test the significant difference of these selected features. The feature selections are performed between controls (size = 20) and pre-GCBT patients (size = 20), pre-GCBT patients (size = 10) and post-GCBT patients (size = 10), and post-GCBT patients (size = 10) and controls (size = 10). Depending on these features, support vector classification was used to classify controls and pre- and post-GCBT patients. Pearson correlation analysis was employed to analyze the associations between clinical symptoms and the selected discriminated FCs in post-GCBT patients. At last, linear support vector regression was applied to predict the therapeutic effect of GCBT. After feature selection and significant analysis, five discriminated FC regarding neuroimaging biomarkers of GCBT were discovered, which are also correlated with clinical symptoms. Using these discriminated functional connections, we could accurately classify the patients before and after GCBT (classification accuracy, 80%) and predict the therapeutic effect of GCBT in asthma (predicted accuracy, 67.8%). The findings in this study would provide a novel sight toward GCBT response prediction and further confirm neural underpinnings of asthma. Moreover, our findings had clinical implications for personalized treatment by identifying asthmatic patients who will be appropriate for GCBT.The brain mechanisms of group cognitive behavioral therapy to improve the symptoms of asthma (Registration number: Chi-CTR-15007442, http://www.chictr.org.cn/index.aspx).

10.3389/fnins.2020.575771

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Citations (1)