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Corrigendum to“Magnesium cationic cue enriched interfacial tissue microenvironment nurtures the osseointegration of gamma-irradiated allograft bone”[***.10C(April 2022)32-47]

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Bioactive Materials 2023年第2期20卷 165-165页

作者： Wenhao Wang Jie Shen Yuan Meng Miaoman Ye Shaozhang Lin Qi Zhao Le Wang Kenneth M.C.Cheung Shuilin Wu Yufeng Zheng Xuanyong Liu Paul K.Chu Kelvin W.K.Yeung Zhi-Yong Zhang Translational Research Centre of Regenerative Medicine and 3D Printing of Guangzhou Medical University Guangdong Province Engineering Research Center for Biomedical EngineeringState Key Laboratory of Respiratory DiseaseThe Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510150PR China Department of Orthopaedics and Traumatology The University of Hong Kong999077Hong KongChina Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma The University of Hong Kong Shenzhen HospitalShenzhen518053PR China Department of Orthopaedic Surgery The Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510150PR China Shenzhen Key Laboratory of Spine Surgery Department of Spine SurgeryPeking University Shenzhen HospitalShenzhen518036PR China Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Key Laboratory of Polymer MaterialsSchool of Materials&EngineeringHubei UniversityWuhan430062PR China Ministry of Education Key Laboratory for Advanced Ceramics and Machining Technology School of Materials Science&EngineeringTianjin UniversityTianjin300352PR China State Key Laboratory for Turbulence and Complex System Department of Materials Science and EngineeringCollage of EngineeringPeking UniversityBeijing100871PR China State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai200050PR China Department of Materials Science and Engineering City University of Hong Kong999077Hong KongChina

The authors regret a mistake of funding numbers in the Acknowledgment Section failed to be corrected during proof *** is the corrected funding statement in Acknowledgment SECTION This work was supported by the National Natural Science Foundation of China(NSFC)(Nos.81902189,81772354,82002303,31570980),Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong laboratory(2018GZR0201002),National Key Research and Development Plan(2018YFC1105103).

关键词： NSFC statement enriched

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Association between Electroencephalographic microstates abnormalities and cognitive dysfunction in drug-naive MDD

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Brain Research 2025年 1860卷 149660-149660页

作者： Qin, Qin Liu, Xinyu Wang, Bin Wang, Xin Liang, Sixiang Chen, Chao Li, Meijia Han, Chuanliang Zhao, Xixi National Clinical Research Center for Mental Disorders & National Center for Mental Disorders Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital Capital Medical University Beijing China Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing China Department of Clinical Psychology Shandong Provincial Hospital affiliated to Shandong First Medical University Shandong China Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin 300384 China Faculty of Psychology and Center for Neuroscience Vrije Universiteit Brussel Brussels 1050 Belgium School of Biomedical Sciences and The Gerald Choa Neuroscience Institute The Chinese University of Hong Kong Hong Kong SAR China

Objectives: This study aims to investigate the link between Electroencephalography (EEG) microstate anomalies and cognitive impairments in individuals with drug-naive Major depressive disorder (MDD). Methods: We recruited 29 patients with drug-naive MDD and 30 healthy controls. The Hamilton Depression Rating Scale (HDRS-17) measured symptom severity, the MATRICS Consensus Cognitive Battery (MCCB) assessed neurocognitive function, and resting-state EEG data were collected using 64 scalp electrodes. Analysis of EEG microstates was conducted via the Microstate Analysis plugin for EEGLAB. Results: MDD group had lower scores in six neurocognitive MCCB domains. For EEG microstates, four similar ones (A − D) were found in both groups. Notably, microstate C duration was lower in MDD group (t = 4.549, P < 0.001), microstate D occurrence (t = 2.258, P = 0.028) and proportion (t = 3.733, P < 0.001) were lower in MDD group. There were significant differences in all 4 microstate transition probabilities between groups. For example, A − B, B − A etc. transitions were higher in MDD, while A − C, A − D etc. were lower. The proportion of microstate D was found positively correlated with Speed of processing (SOP) score (r = 0.499, df = 26, P = 0.007) and Working memory (WM) score (r = 0.451, df = 26, P = 0.016). The Occurrence of microstate D was found positively correlated with SOP score (r = 0.383, df = 26, P = 0.044) and WM score (r = 0.389, df = 26, P = 0.041). Conclusions: MDD patients show alterations in sub-second brain dynamics, characterized by a decreased proportion and occurrence of microstate D and shorter duration of microstate C, and significant shifts in microstate transition probabilities. These changes correlate with cognitive deficits across several domains, including processing speed and working memory. © 2025

关键词： Cognitive dysfunction Electroencephalographic microstates Major depressive disorder

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The design of AGV's dynamic wireless power transmission power supply based on Adaptive Weight Value Multi-objective Genetic Algorithm

The design of AGV's dynamic wireless power transmission powe...

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作者： Pingfan Ning Tiantong Li Pingjuan Niu Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology School of Electrical Engineering and Automation Tianjin Polytechnic University Engineering Research Center of High Power Solid State Lighting Application System Ministry of Education

AGV is the application of modern factory intelligence and automation. With the development of wireless power transmission(WPT), its transmission efficiency and stability are getting higher and higher. However, from static charging to dynamic power supply, the cost of technology implementation has increased significantly. This paper proposed a method to supply power to logistics AGV by intermittent segment, established the binary coverage model according to the power coverage distance, and designed an Adaptive Weight Value Multi-objective Genetic Algorithm(AWVMOGA) for this model to Optimizing the path design of sectional power supply. The influence of three weight value adaptive methods on the optimization results is analyzed, the effectiveness of the proposed method is analyzed and verified through case simulation.

关键词： WPT The design of AGV's dynamic wireless power transmission power supply based on Adaptive Weight Value Multi-objective Genetic Algorithm

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Method to Prevent Thin Film Cracking of Thin Film Encapsulation in Flexible AMOLED

Method to Prevent Thin Film Cracking of Thin Film Encapsulat...

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International Conference on Electronic Packaging technology

作者： Wei Ao Xiaogang Xin Xiangchao Liu Yinghui Zhu Feng Gao Chunhong Li Jianhua Zhang Chaochi Peng Yan Wang Kunshan Govisionox Optoelectronics Co. LTD Kunshan China Key Laboratory of Advanced Display and System Application Shanghai University Shanghai China

PECVD hydrogenated silicon oxynitride (SiON) thin film, due to its excellent chemical and physical properties, is widely used in flexible encapsulation as an protective layer. However, SiON thin film cracking severely restricted the performance of the thin film encapsulation, and cannot be effectively tackled by flexible electronics industry. So improving the quality of the SiON thin film and preventing thin film cracking is crucial to flexible electronics industry. In this paper, effects of RF power, pressure, process gas on stress property in SiON thin film were studied in detail by stress meter. Therefore, increasing RF power, pressure and decreasing H_2 flow can prevent SiON thin film cracking.

关键词： PECVD SiON Thin Film Stress

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GBCNs: Genetic Binary Convolutional Networks for enhancing the performance of 1-bit DCNNs

arXiv

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arXiv 2019年

作者： Liu, Chunlei W., Ding Y., Hu B., Zhang J., Liu G., Guo School of Electronic and Information Engineering Beihang University Unmanned System Research Institute Beihang University School of Automation Science and Electrical Engineering Beihang University Shenzhen Institutes of Advanced Technology University of Chinese Academy of Sciences Institute of Deep Learning Baidu Research National Engineering Laboratory for Deep Learning Technology and Application

Training 1-bit deep convolutional neural networks (DCNNs) is one of the most challenging problems in computer vision, because it is much easier to get trapped into local minima than conventional DCNNs. The reason lies in that the binarized kernels and activations of 1-bit DCNNs cause a significant accuracy loss and training inefficiency. To address this problem, we propose Genetic Binary Convolutional Networks (GBCNs) to optimize 1-bit DCNNs, by introducing a new balanced Genetic Algorithm (BGA) to improve the representational ability in an end-to-end framework. The BGA method is proposed to modify the binary process of GBCNs to alleviate the local minima problem, which can significantly improve the performance of 1-bit DCNNs. We develop a new BGA module that is generic and flexible, and can be easily incorporated into existing DCNNs, such as WideResNets and ResNets. Extensive experiments on the object classification tasks (CIFAR, ImageNet) validate the effectiveness of the proposed method. To highlight, our method shows strong generalization on the object recognition task, i.e., face recognition, facial and person re-identification. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep neural networks

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INTRODUCTION

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Bulletin of the American Meteorological Society 2024年第8期105卷 S1-S11页

作者： Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o

In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhouse gases—carbon dioxide, methane, and nitrous oxide—all increased to record-high levels. The annual global average carbon dioxide concentration in the atmosphere rose to 419.3±0.1 ppm, which is 50% greater than the pre-industrial level. The growth from 2022 to 2023 was 2.8 ppm, the fourth highest in the record since the 1960s. The combined short-term effects of El Niño and the long-term effects of increasing levels of heat-trapping gases in the atmosphere contributed to new records for many essential climate variables reported here. The annual global temperature across land and oceans was the highest in records dating as far back as 1850, with the last seven months (June–December) having each been record warm. Over land, the globally averaged temperature was also record high. Dozens of countries reported record or near-record warmth for the year, including China and continental Europe as a whole (warmest on record), India and Russia (second warmest), and Canada (third warmest). Intense and widespread heatwaves were reported around the world. In Vietnam, an all-time national maximum temperature record of 44.2°C was observed at Tuong Duong on 7 May, surpassing the previous record of 43.4°C at Huong Khe on 20 April 2019. In Brazil, the air temperature reached 44.8°C in Araçuaí in Minas Gerais on 20 November, potentially a new national record and 12.8°C above normal. The effect of rising temperatures was apparent in the cryosphere, where snow cover extent by June 2023 was the smallest in the 56-year record for North America and seventh smallest for the Northern Hemisphere overall. Heatwaves contributed to the greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Due to rapid volume loss beginning in 2021, St. A

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Sampled-data Observer Design for a Class of Stochastic Nonlinear systems Based on the Approximate Discrete-time Models

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 507-511页

作者： Xinxin Fu Yu Kang Pengfei Li Department of Automation University of Science and Technology of China State Key Laboratory of Fire Science Department of AutomationInstitute of Advanced TechnologyUniversity of Science and Technology of China Key Laboratory of Technology in GeoSpatial Information Processing and Application System Chinese Academy of Sciences IEEE

In this paper,we studied the approximate sampleddata observer design for a class of stochastic nonlinear ***-Maruyama approximation was investigated in this paper because it is the basis of other higher precision numerical methods,and it preserves important structures of the nonlinear ***,the form of Euler-Maruyama model is simple and easy to be *** results provide a reference for sampled-data observer design method for such stochastic nonlinear systems,and may be useful to many practical control applications,such as tracking control in mechanical *** the effectiveness of the approach is demonstrated by a simulation example.

关键词： Approximation model exponentially bounded sampled-data observer stochastic nonlinear

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Band Structure Engineering of Black Phosphorus/Graphene/MoS2 van der Waals Heterojunctions for Photovoltaic and Optoelectronic Device application

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Journal of Physics: Conference Series 2021年第2期1865卷

作者： Wenhuan Zhu Lingwei Kong Wei Long Xianglei Shi Dayong Zhou Lijie Sun Lihua Zhou Guiting Yang Xiaodong Liu Hai Liu Maolin Bo Xiaoqiang Hou Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China State Grid Nanchong Power Supply Company Nanchong China State Key Laboratory of Space Power-Sources Technology Shanghai China Shanghai Institute of Space Power-Sources Shanghai China Guizhou Space Appliance Co. Ltd. Guizhou China Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai University Shanghai China Key Laboratory of Extraordinary Bond Engineering and Advanced Materials Technology (EBEAM) of Chongqing Yangtze Normal University Chongqing China

In this paper, we study the band structure engineering of black phosphorus/graphene/MoS2 (BP/graphene/MoS2) van der Waals heterojunctions based on ab initio simulations. The density of state and charge density of BP/MoS2, bilayer-BP/MoS2, bilayer-BP/graphene/MoS2 and graphene/bilayer-BP/MoS2 heterojunctions are also investigated. It is found that the bandgaps of these four heterojunctions are smaller than the case of single layer BP or MoS2. When graphene is inserted into or stacked upon BP and MoS2 layers, the heterojunction can obtain a minimum bandgap and a higher density of state distribution. In the differential charge density diagram, electrons over the carbon, sulfur and phosphorus atoms are lost from those corresponding parts. These investigations based on the band structure engineering of 2D van der Waals heterojunctions can provide an effective guidance to manufacture the future nanoscale high performance photovoltaic and optoelectronic devices.

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Real-time imaging of accelerated solid-liquid-gas reactions with nanobubbles

Research Square

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Research Square 2020年

作者： Wang, Wen Xu, Tao Chen, Jige Shangguan, Junyi Dong, Hui Ma, Huishu Zhang, Qiubo Bai, Tingting Guo, Zhirui Fang, Haiping Zheng, Haimei Sun, Litao SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of Education Collaborative Innovation Center for Micro/Nano Fabrication Device and System Southeast University Nanjing210096 China Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Shanghai Synchrotron Radiation Facility Zhangjiang Laboratory Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201204 China Department of Physics East China University of Science and Technology Shanghai200237 China Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai201800 China Key Laboratory of Welding Robot and Application Technology of Hunan Province Engineering Research Center of Complex Tracks Processing Technology Equipment of Ministry of Education Xiangtan University Xiangtan411105 China The Second Affiliated Hospital Key Laboratory for Aging & Disease Nanjing Medical University Nanjing210011 China

Solid-liquid-gas reactions are ubiquitous. An understanding of how gases influence the reactions at the nanoscale is significant for achieving the enhanced triple-phase reactions. Here, we report a real-time observation of the accelerated etching of gold nanorods with oxygen nanobubbles in aqueous hydrobromic acid using liquid cell transmission electron microscopy (TEM). Our observation reveals that when an oxygen nanobubble is close to a nanorod below the critical distance (~1nm), the local etching rate is significantly enhanced with over an order of magnitude faster. Molecular dynamics simulations results show that the strong attractive van der Waals interaction between the gold nanorod and oxygen molecules facilitates the transport of oxygen through the thin liquid layer to the gold surface and thus plays a crucial role in increasing the etching rate. This result sheds light on the rational design of solid-liquid-gas reactions for enhanced activities. © 2020, CC BY.

关键词： Molecular dynamics

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Correction to: A method of VR‑EEG scene cognitive rehabilitation training

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Health information science and systems 2021年第1期9卷 7页

作者： Wenjun Tan Yang Xu Pan Liu Chunyan Liu Yujin Li Yanrui Du Chao Chen Yuping Wang Yanchun Zhang Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang 110189 China. Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou 510006 China. Department of Neurology Xuanwu Hospital Capital Medical University Beijing 100053 China. Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin 300384 China. Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne VIC 8001 Australia.

[This corrects the article DOI: 10.1007/s13755-020-00132-6.].

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