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学者姓名：张月
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Abstract ：
The advancement of hydrogel-based epidermal sensors that integrate multifunctionality, high transparency, rapid processing, and heightened sensitivity is of significant interest. Herein, we present an efficient approach for the fabrication of flexible dual-mode epidermal sensors through the ultraviolet (UV)-curing 3-D printing of polyacrylamide (PAM)-based ionic hydrogels. The hydro-gel precursor incorporates sodium dodecyl sulfate (SDS) monomers to augment the water dispersibility of the 2,4,6-trimethylbenzoyl-diphenylphosphine oxide (TPO) photoinitiator, thereby substantially increasing the photocuring efficiency of the ionic hydrogel. As a result, the distinctive surface microstructures of PAM-based ionic hydrogels can be engineered for sensors with varying sensing modalities to improve detection performance. The piezoelectric tactile sensor, incorporating a concentric ring microstructure, demonstrates a sensitivity coefficient of 1.39 mV kPa(-1). Conversely, the resistive strain sensor, characterized by a high-density reticular hollow structure, exhibits the highest gauge factor of 24.87. Furthermore, each sensor modality demonstrates excellent temporal response and stability, confirming its applicability in motion monitoring and Morse code transmission.
Keyword ：
3-D printing 3-D printing Conductivity Conductivity Curing Curing dual-mode sensing dual-mode sensing epidermal sensor epidermal sensor Epidermis Epidermis Hydrogels Hydrogels iontronic iontronic Microstructure Microstructure Monitoring Monitoring Sensitivity Sensitivity Sensor phenomena and characterization Sensor phenomena and characterization Sensors Sensors Three-dimensional printing Three-dimensional printing
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| GB/T 7714 | Zhang, Yue , Lan, Ao , Xia, Yuanhao et al. 3-D Printing of PAM Hydrogel-Based Iontronic for Dual-Mode Epidermal Sensors [J]. | IEEE SENSORS JOURNAL , 2025 , 25 (8) : 12616-12626 . |
| MLA | Zhang, Yue et al. "3-D Printing of PAM Hydrogel-Based Iontronic for Dual-Mode Epidermal Sensors" . | IEEE SENSORS JOURNAL 25 . 8 (2025) : 12616-12626 . |
| APA | Zhang, Yue , Lan, Ao , Xia, Yuanhao , Yin, Xiangyu , He, Bingwei , Zhu, Pengli . 3-D Printing of PAM Hydrogel-Based Iontronic for Dual-Mode Epidermal Sensors . | IEEE SENSORS JOURNAL , 2025 , 25 (8) , 12616-12626 . |
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The development of diverse microstructures has substantially contributed to recent progress in high-performance electromagnetic wave (EMW) absorption materials, providing a versatile platform for the modulation of absorption properties. Exploring multidimensional microstructures and developing tailored and gentle strategies for their precise optimization can substantially address the current challenges posed by relatively unclear underlying mechanisms. Here, a series of 2D/1D heterogeneous NiO@PPy composites featuring hollow hierarchical microstructures are successfully synthesized using a straightforward strategy combining sacrificial templating with chemical oxidative polymerization. This strategy offers a facile and effective approach to fine-tune the microstructure by adjusting the thickness of the polypyrrole (PPy) coating. This enables the continuous optimization of the dielectric properties and specific microstructures to maximize EMW absorption. Remarkably, the optimized 2D/1D hierarchical hollow NiO@PPy composite demonstrates an ultrathin thickness of 2.3 mm, a wide effective absorption band spanning 5.89 GHz, and a strong absorption intensity of -71.65 dB at a minimal loading of only 10 wt.%. The proposed mild and controllable preparation strategy not only provides insights for further tailoring the optimal dielectric properties of specific structures to enhance the absorption capacity, but also enriches the exploration of the underlying absorption mechanisms from the perspective of microstructure regulation.
Keyword ：
2D/1D hierarchical structure 2D/1D hierarchical structure dielectric loss dielectric loss EMW absorption and controllability EMW absorption and controllability PPy PPy
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| GB/T 7714 | Yin, Xiangyu , Zheng, Zongrui , Chen, Yixuan et al. 2D/1D Hierarchical Hollow NiO@PPy Composites with Tunable Dielectric Properties for Enhanced Electromagnetic Wave Absorption [J]. | SMALL , 2025 , 21 (8) . |
| MLA | Yin, Xiangyu et al. "2D/1D Hierarchical Hollow NiO@PPy Composites with Tunable Dielectric Properties for Enhanced Electromagnetic Wave Absorption" . | SMALL 21 . 8 (2025) . |
| APA | Yin, Xiangyu , Zheng, Zongrui , Chen, Yixuan , Zhang, Yue , Hou, Linxi . 2D/1D Hierarchical Hollow NiO@PPy Composites with Tunable Dielectric Properties for Enhanced Electromagnetic Wave Absorption . | SMALL , 2025 , 21 (8) . |
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The presence of dysgraphia in patients with Parkinson's disease (PD) is frequently observed as an early motor symptom, serving as a vital biomarker for early diagnosis and monitoring of disease progression. However, accurately identifying and quantifying dysgraphia remains a significant obstacle for individuals affected by PD. This study introduces a novel quantification approach utilizing a 16 x 16 pressure-sensitive array that exhibits exceptional sensitivity (0.72 N-1 at 1.02-4.14 N), rapid response time (10 ms), sustained signal stability (resistance increased by 2 % after 1000 cycles), and reliable electromechanical synchronization. Through the implementation of an isolation layer, the proposed sensing array effectively addresses the issue of signal crosstalk between sensing pixels in conventional arrays, thereby enabling precise detection of subtle irregularities during the writing process. The utilization of Resnet-18 CNN in conjunction with pressure-sensitive array yields a high degree of precision in classification for Parkinson's dysgraphia. This approach offers a valuable tool for detecting dysgraphia in PD patients.
Keyword ：
Handwriting Handwriting Neural networks Neural networks Parkinson Parkinson Pressure-sensitive array Pressure-sensitive array
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| GB/T 7714 | Zhang, Yue , Lin, Haifeng , Xie, Xiangjie et al. A novel approach for handwriting recognition in Parkinson's disease by combining flexible sensing with deep learning technologies [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 385 . |
| MLA | Zhang, Yue et al. "A novel approach for handwriting recognition in Parkinson's disease by combining flexible sensing with deep learning technologies" . | SENSORS AND ACTUATORS A-PHYSICAL 385 (2025) . |
| APA | Zhang, Yue , Lin, Haifeng , Xie, Xiangjie , Peng, Peng , Chen, Ting , Zhao, Zhenhua et al. A novel approach for handwriting recognition in Parkinson's disease by combining flexible sensing with deep learning technologies . | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 385 . |
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The plasticity of magnesium alloys is inherently constrained by their hexagonal close-packed (HCP) crystal structure and limited slip system at room-temperature, which restricts their widespread application across various industries. Therefore, identifying an effective method to enhance the plasticity and formability of magnesium alloys remains essential. In this study, the mechanical behavior of AZ31B Mg alloy was examined under the combined influence of ultrasonic vibration (UV) and a thermal field. Tensile tests incorporating UV and thermal assistance were performed on the sheets at amplitudes ranging from 0 to 50.7 mu m and strain rates between 10-2 and 10-4 s-1 at a temperature of 150 degrees C. Microstructural evolution during deformation was analyzed using optical microscopy (OM) and electron backscattered diffraction (EBSD). The results indicate that under hybrid energy fields, the interaction between UV and strain rate significantly affects the flow stress, elongation, and the critical strain required for dynamic recrystallization (DRX) in Mg alloys. Furthermore, microstructural analysis reveals that the incorporation of UV within the thermal field facilitates intra-grain rotation and deformation, promotes DRX, particularly continuous DRX, and enables dislocation migration from the grain boundary to the grain interior. Consequently, a notable improvement in plasticity is observed across the tested strain rate range when UV is applied at suitable amplitudes. However, excessive amplitudes lead to contrasting variations in mechanical behavior, DRX extent, and dislocation movement. Additionally, the underlying mechanisms responsible for these effects have been clarified.
Keyword ：
Hybrid energy fields Hybrid energy fields Magnesium alloy Magnesium alloy Microstructure evolution Microstructure evolution Strain rate Strain rate Ultrasonic vibration Ultrasonic vibration Warm deformation Warm deformation
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| GB/T 7714 | Liao, Juan , Zhang, Yue , Huang, Youchun et al. Ultrasonic vibration-induced macro-micro behaviors of AZ31 magnesium alloy sheet during warm tension at various strain rates [J]. | MATERIALS TODAY COMMUNICATIONS , 2025 , 46 . |
| MLA | Liao, Juan et al. "Ultrasonic vibration-induced macro-micro behaviors of AZ31 magnesium alloy sheet during warm tension at various strain rates" . | MATERIALS TODAY COMMUNICATIONS 46 (2025) . |
| APA | Liao, Juan , Zhang, Yue , Huang, Youchun , Xue, Xin . Ultrasonic vibration-induced macro-micro behaviors of AZ31 magnesium alloy sheet during warm tension at various strain rates . | MATERIALS TODAY COMMUNICATIONS , 2025 , 46 . |
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Conformal e-tattoos have recently received widespread attention because of their great potential for precise and immediate monitoring of physiological signals. However, expensive materials or complex fabrication processes are often required to obtain e-tattoos that meet the above application requirements. Here, we propose a facile strategy for the preparation of e-tattoos via screen printing while achieving versatile parameters collection capabilities. The screen printing inks can be obtained only by mixing and stirring carboxylated MWCNTs water slurry, elastomer transparent glue, glycerin and commercial ink according to the needs of target signal detection. Furthermore, a layer of ultra-thin medical pressure-sensitive adhesive layer was subtly involved in the temperature and humidity sensitive e-tattoos, successfully avoiding the mutual interference between the physical signals and the electrophysiological signals. The continuous monitoring of sEMG signals, ECG signals, local humidity conditions, and skin temperature changes can be achieved by applying the multifunctional e-tattoo platform onto the human skin surface. This technology shows promise as a potential avenue for the advancement of electronic tattoo sensing in the future.
Keyword ：
Electrophysiological signal Electrophysiological signal Epidermal electronics Epidermal electronics E-tattoo E-tattoo
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| GB/T 7714 | Zhang, Yue , Deng, Ziting , Hong, Peng et al. Screen-printed ultra-thin and multifunctional e-tattoos towards epidermal sensors [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 387 . |
| MLA | Zhang, Yue et al. "Screen-printed ultra-thin and multifunctional e-tattoos towards epidermal sensors" . | SENSORS AND ACTUATORS A-PHYSICAL 387 (2025) . |
| APA | Zhang, Yue , Deng, Ziting , Hong, Peng , Bao, Zhenchen , Yin, Xiangyu , Zhu, Pengli . Screen-printed ultra-thin and multifunctional e-tattoos towards epidermal sensors . | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 387 . |
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In the field of intelligent prosthetics (IPs), the establishment of a natural interaction between prosthetic hands and amputees holds significant importance in restoring hand functionality, enhancing quality of life, and facilitating daily activities and social engagement. Prior investigations on surface electromyographic (sEMG) signals-controlled IPs have predominantly concentrated on gesture recognition, frequently neglecting the equally significant dimension of force level. This study proposes a control strategy integrating a multitask learning (MTL) model to achieve synchronized recognition of gestures and force levels. The MTL model, incorporating shared convolutional blocks, self-attention, and multihead attention layers, enhances prosthetic hand control for seamless user-device interaction. This study consistently showcases exceptional proficiency in recognizing gestures and force levels by conducting meticulous experimentation and validating the findings using datasets from diverse participants. Comparative assessments endorse the superiority of the MTL approach, particularly in real-time testing scenarios. The findings highlight the potential of this innovative myoelectric control strategy, empowering prosthetic users for prompt, precise, and intuitive responses, significantly augmenting their autonomy and quality of life.
Keyword ：
Attention mechanism Attention mechanism Computational modeling Computational modeling Convolution Convolution Force Force force determination force determination gesture recognition gesture recognition Multitasking Multitasking multitask learning (MTL) multitask learning (MTL) Prosthetic hand Prosthetic hand Sensors Sensors surface electromyographic (sEMG) surface electromyographic (sEMG) Task analysis Task analysis
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| GB/T 7714 | Yu, Guangjie , Bao, Zhenchen , Ma, Zhongxian et al. Multitask Learning for Simultaneous Gesture and Force Level Recognition Toward Prosthetic Hand Interaction [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (7) : 11759-11769 . |
| MLA | Yu, Guangjie et al. "Multitask Learning for Simultaneous Gesture and Force Level Recognition Toward Prosthetic Hand Interaction" . | IEEE SENSORS JOURNAL 24 . 7 (2024) : 11759-11769 . |
| APA | Yu, Guangjie , Bao, Zhenchen , Ma, Zhongxian , Zhang, Yue , He, Bingwei . Multitask Learning for Simultaneous Gesture and Force Level Recognition Toward Prosthetic Hand Interaction . | IEEE SENSORS JOURNAL , 2024 , 24 (7) , 11759-11769 . |
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Magnesium (Mg) alloys are becoming popular in lightweight manufacturing due to their low density and high specific strength. However, insufficient slip systems result in poor plasticity of Mg alloys at room temperature. Therefore, an ultrasonic energy field combined with thermal field is introduced to assist the deformation of AZ31 Mg alloy to improve its plasticity. Firstly, ultrasonic vibration (UV)-assisted tensile tests at different temperatures (130–150 °C) are conducted to investigate the effect of UV on material behaviour and the activation of dynamic recrystallization (DRX). Then, the influences of UV on the mechanical properties and microstructure of the material at 150 °C are investigated by varying the parameters of ultrasound amplitude, strain rate, and vibration interval. The results reveal that applying UV can activate DRX at a relatively lower temperature compared with that without UV. Superimposing a certain amount of ultrasonic energy on this material at warm conditions reduces flow stress and increases elongation. In the intermittent ultrasonic vibration (IUV) tests, the DRX percentage and elongation first increase and then decrease as the vibration interval increases. The elongation of specimens with appropriate vibration intervals even exceeds that of specimens with continuous ultrasonic vibration (CUV). However, CUV is more effective than IUV in reducing ultimate tensile strength at different amplitudes or strain rates. © 2024
Keyword ：
Dynamic recrystallization Dynamic recrystallization Elongation Elongation High strength alloys High strength alloys Magnesium alloys Magnesium alloys Microstructure Microstructure Plasticity Plasticity Strain rate Strain rate Tensile strength Tensile strength Tensile testing Tensile testing Ultrasonic effects Ultrasonic effects Ultrasonic waves Ultrasonic waves Vibrations (mechanical) Vibrations (mechanical)
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| GB/T 7714 | Huang, Youchun , Zhang, Yue , Liao, Juan . Effects of process parameters on the mechanical properties and microstructure in ultrasonic vibration-assisted warm tensile deformation of AZ31 magnesium alloy [C] . 2024 : 378-383 . |
| MLA | Huang, Youchun et al. "Effects of process parameters on the mechanical properties and microstructure in ultrasonic vibration-assisted warm tensile deformation of AZ31 magnesium alloy" . (2024) : 378-383 . |
| APA | Huang, Youchun , Zhang, Yue , Liao, Juan . Effects of process parameters on the mechanical properties and microstructure in ultrasonic vibration-assisted warm tensile deformation of AZ31 magnesium alloy . (2024) : 378-383 . |
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Kinematic alignment (KA) in the short to medium term clinical outcomes is superior to the mechanical alignment (MA), but whether it will improve patients' postoperative gait is still controversial. Understanding whether and how KA influences postoperative gait mechanics could provide insights into optimizing alignment philosophy to improve functional outcomes. To investigate the impact of KA versus MA in total knee arthroplasty (TKA) on the operated and contralateral native lower limbs by analyzing plantar pressure distribution during walking gait. This study was designed as a secondary analysis from a randomized controlled trial. Thirty-seven patients were included, nineteen underwent KA-TKA and eighteen underwent MA-TKA, each with a native knee in the contralateral limb. Pressure-sensitive insoles were used to collect plantar pressure distribution of both limbs simultaneously during walking defined as medial-lateral load ratio (MLR). Perioperative characteristics including radiographic metrics (Hip-Knee-Ankle angle (HKA), mechanical lateral distal femoral angle (mLDFA), and mechanical medial proximal tibial angle (mMPTA) and clinical outcomes (Oxford Knee Scores (OKS)) were compared between the two groups pre-operatively and 2-year postoperatively. Significant differences were found in postoperative radiographic metrics, with KA showing better OKS 1 year postoperatively (p = 0.021), lower mean HKA (p = 0.009) and mMPTA (p < 0.001). Other perioperative characteristics were similar between groups. In the pedobarographic analysis, the MA group demonstrated greater medial pressure distribution in forefoot compared to both the KA group (p < 0.001) and the contralateral native knee (p = 0.002). Besides, the MA group revealed a more lateral pressure distribution in rearfoot compared to the KA group (p = 0.007) and the contralateral native knee (p = 0.001). While there was no significant difference between KA and native group (p = 0.064 and p = 0.802, respectively). KA offered advantages over MA in restoring a more physiologic plantar pressure distribution at two years postoperatively. These results underscore the potential clinical benefits of adopting KA techniques in TKA procedures.
Keyword ：
Biomechanics Biomechanics Kinematically aligned Kinematically aligned Mechanically aligned Mechanically aligned Plantar pressure Plantar pressure Total knee replacement Total knee replacement
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| GB/T 7714 | Wang, Guiguan , Zhang, Yue , Chen, Long et al. Modified kinematic alignment better restores plantar pressure distribution than mechanical alignment in total knee arthroplasty: a randomized controlled trial [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| MLA | Wang, Guiguan et al. "Modified kinematic alignment better restores plantar pressure distribution than mechanical alignment in total knee arthroplasty: a randomized controlled trial" . | SCIENTIFIC REPORTS 14 . 1 (2024) . |
| APA | Wang, Guiguan , Zhang, Yue , Chen, Long , Yu, Guoyu , Luo, Fenqi , Xu, Jie . Modified kinematic alignment better restores plantar pressure distribution than mechanical alignment in total knee arthroplasty: a randomized controlled trial . | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
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Accurate and real-time gesture recognition is required for the autonomous operation of prosthetic hand devices. This study employs a convolutional neural network-enhanced channel attention (CNN-ECA) model to provide a unique approach for surface electromyography (sEMG) gesture recognition. The introduction of the ECA module improves the model's capacity to extract features and focus on critical information in the sEMG data, thus simultaneously equipping the sEMG-controlled prosthetic hand systems with the characteristics of accurate gesture detection and real-time control. Furthermore, we suggest a preprocessing strategy for extracting envelope signals that incorporates Butterworth low-pass filtering and the fast Hilbert transform (FHT), which can successfully reduce noise interference and capture essential physiological information. Finally, the majority voting window technique is adopted to enhance the prediction results, further improving the accuracy and stability of the model. Overall, our multi-layered convolutional neural network model, in conjunction with envelope signal extraction and attention mechanisms, offers a promising and innovative approach for real-time control systems in prosthetic hands, allowing for precise fine motor actions.
Keyword ：
channel attention mechanism channel attention mechanism deep learning deep learning real-time control real-time control sEMG gesture recognition sEMG gesture recognition
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| GB/T 7714 | Yu, Guangjie , Deng, Ziting , Bao, Zhenchen et al. Gesture Classification in Electromyography Signals for Real-Time Prosthetic Hand Control Using a Convolutional Neural Network-Enhanced Channel Attention Model [J]. | BIOENGINEERING-BASEL , 2023 , 10 (11) . |
| MLA | Yu, Guangjie et al. "Gesture Classification in Electromyography Signals for Real-Time Prosthetic Hand Control Using a Convolutional Neural Network-Enhanced Channel Attention Model" . | BIOENGINEERING-BASEL 10 . 11 (2023) . |
| APA | Yu, Guangjie , Deng, Ziting , Bao, Zhenchen , Zhang, Yue , He, Bingwei , Gallo, Crescenzio et al. Gesture Classification in Electromyography Signals for Real-Time Prosthetic Hand Control Using a Convolutional Neural Network-Enhanced Channel Attention Model . | BIOENGINEERING-BASEL , 2023 , 10 (11) . |
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The distinctive characteristics of electrically conductive fabrics, including their flexibility, breathability, and comfort, have led to their recognition as a viable substitute for silicon wafers in wearable electronics. However, the difficulty of constructing sensors with three-dimensional (3D) structure on woven fabrics significantly limits their sensitivity and sensing range. Layer-by-layer 3D printing of entire smart textile sensing components has enabled the development of high-performance sensors with enhanced sensitivity and sensing range. This research endeavors to produce a smart glove with superior performance by incorporating strain and pressure sensors by 3D printing a composite conductive ink, consisting of multi-walled carbon nanotubes (MWCNTs), graphene nanosheets (GNSs), fumed silica (FSiO2) and Ecoflex, and encapsulated ink directly onto a commercially avail-able fabric glove. The 3D structure of the sensing layer and the sensing material were intentionally designed to achieve desired performance. The smart glove demonstrates a high gauge factor (GF -35) and a strain range of 0-50% for strain detection. Additionally, it exhibits a high sensitivity of-0.07 kPa-1 and a sensing range of 1000 kPa for pressure examination, which facilitates precise detection of finger bending angles and fingertip contact pressures. The smart glove also shows excellent linearity, repeatable resistance response, favorable cycling characteristics in both strain and pressure detecting, and were unaffected by temperature and humidity. The combination of the smart glove with a Long Short-Term Memory (LSTM) deep learning model achieves a high accuracy (100%) for dynamic gesture recognition and manipulator control, demonstrating their potential for smart wearable electronics and human-computer interaction.
Keyword ：
3D-printing 3D-printing Deep learning Deep learning Fabric glove Fabric glove Flexible sensor Flexible sensor
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| GB/T 7714 | Zhou, Zaiwei , Zhang, Wanli , Zhang, Yue et al. Facile and direct 3D printing of smart glove for gesture monitoring [J]. | MICROELECTRONIC ENGINEERING , 2023 , 282 . |
| MLA | Zhou, Zaiwei et al. "Facile and direct 3D printing of smart glove for gesture monitoring" . | MICROELECTRONIC ENGINEERING 282 (2023) . |
| APA | Zhou, Zaiwei , Zhang, Wanli , Zhang, Yue , Yin, Xiangyu , Chen, Xin-Yuan , He, Bingwei . Facile and direct 3D printing of smart glove for gesture monitoring . | MICROELECTRONIC ENGINEERING , 2023 , 282 . |
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