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| 1 | A detailed investigation of low latitude tweek atmospherics observed by the WHU ELF/VLF receiver:Ⅰ. Automatic detection and analysis method显示文摘As a dispersive wave mode produced by lightning strokes, tweek atmospherics provide important hints of lower ionospheric(i.e., D-region) electron density. Based on data accumulation from the WHU ELF/VLF receiver system, we develop an automatic detection module in terms of the maximum-entropy-spectral-estimation(MESE) method to identify unambiguous instances of low latitude tweeks.We justify the feasibility of our procedure through a detailed analysis of the data observed at the Suizhou Station(31.57°N, 113.32°E) on17 February 2016. A total of 3961 tweeks were registered by visual inspection;the automatic detection method captured 4342 tweeks, of which 3361 were correct ones, producing a correctness percentage of 77.4%(= 3361/4342) and a false alarm rate of 22.6%(= 981/4342).A Short-Time Fourier Transformation(STFT) was also applied to trace the power spectral profiles of identified tweeks and to evaluate the tweek propagation distance. It is found that the fitting accuracy of the frequency–time curve and the relative difference of propagation distance between the two methods through the slope and through the intercept can be used to further improve the accuracy of automatic tweek identification. We suggest that our automatic tweek detection and analysis method therefore supplies a valuable means to investigate features of low latitude tweek atmospherics and associated ionospheric parameters comprehensively. | RuoXian Zhou XuDong Gu KeXin Yang GuangSheng Li BinBin Ni Juan Yi Long Chen FuTai Zhao ZhengYu Zhao Qi Wang LiQing Zhou | 2020 | Earth and Planetary Physics2020，4，2： | 7 |
| 2 | Effect of oxidative stress on ventricular arrhythmia in rabbits with adriamycin-induced cardiomyopathy显示文摘 | Li He Jianmin Xiao Hui Fu Guangsheng Du Xing Xiao Cuntai Zhang Ye Gu Yexin Ma | 2012 | Journal of Huazhong University of Science and Technology2012，，3： | 1 |
| 3 | Fluidization and agglomerate structure of SiO2 nanoparticles显示文摘 | Wang Yao Gu Guangsheng Wei Fei | 2002 | Powder Technology2002，124，： | 1 |
| 4 | Relationship between carotid plaque and serum uric acid in patients with cerebral infarction显示文摘 | Gu Hanpei Chen Xiaodong Wang Guangsheng | 2011 | Chinese Journal of practical neurological diseases2011，24，17： | 1 |
| 5 | The large-scale production of carbon nanotubes in a nano-agglomerate fluidized-bed reactor显示文摘 | Yao Wang Fei Wei Guohua Luo Hao Yu Guangsheng Gu | 2002 | Chemical Physics Letters2002，，5： | 1 |
| 6 | Reverse micelles directed synthesis of mesoporous ceria nanostructures 显示文摘 | Gu Fubo Wang Zhihua Han Dongmei Shi Chen Guo Guangsheng | 2007 | Materials Science and Engineering B2007，139，1： | 1 |
| 7 | ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules显示文摘Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques accurately.Methods:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid nodules.First,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask learning.Second,we propose the DualLoss function,tailored to the thyroid nodule localization and classification tasks.It balances the learning of the localization and classification tasks to help improve the model’s generalization ability.Third,we introduce strategies for augmenting the data.Finally,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid nodules.Results:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and TransUnet.Experimental results show that ThyroidNet outperformed these methods in localizing and classifying thyroid nodules.It achieved improved accuracy of 3.9%and 1.5%,respectively.Conclusion:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis tasks.Future research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis. | Lu Chen Huaqiang Chen Zhikai Pan Sheng Xu Guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong Gu Yudong Zhang | 2024 | Computer Modeling in Engineering & Sciences2024，139，4： | 0 |
| 8 | Biomimetic synthesis of calcium-strontium apatite hollow nanospheres显示文摘In this work,calcium-strontium apatite (Sr-HA) hollow nanospheres were synthesized by a facile biomimetic method.The structure and property of Sr-HA were characterized by FESEM,TEM,HRTEM,XRD and FT-IR spectroscopy.The influences of different ratios of calcium and strontium on the morphologies of the Sr-HA products were investigated.The experimental results revealed that the hollow spherical Sr-HA,with a size of 30-120 nm in diameter,could be synthesized when the molar ratio of Ca/Sr was 1:1.The possible formation mechanism of the hollow Sr-HA was proposed.The drug release experiments indicated that the hollow spherical Sr-HA had the property of sustained release. | GAN Yong,HAN DongMei,GU FuBo,WANG ZhiHua & GUO GuangSheng State Key Laboratory of Chemical Resource Engineering,Beijing University of Chemical Technology,Beijing 100029,China | 2010 | Science China Chemistry2010，53，8： | 0 |
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