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| 1 | Remarkable anisotropic phonon response in uniaxially strained few-layer black phosphorus显示文摘黑磷(BP ) 是一个好候选人因为学习紧张在 graphene 和转变金属 dichalcogenides 以外在 twodimensional (2D ) 上完成材料。这因为它支撑高紧张和源于它的唯一的皱起的结构的显著地各向异性的机械性质的特别能力。我们这里调查格子的依赖在由在原处做作的拉曼的单轴地做作的很少层 BP 的结晶的取向上的震动的频率光谱学。out-of-plane A 1 而, g 模式对沿着近扶手椅的方向的单轴的紧张敏感在里面飞机 B 2g 和 A 2 g 模式是敏感的在近之字形的方向拉紧。为使用离开这些方向的单轴的种类,所有三个声子模式是线性地 redshifted。我们的试验性的观察被对 BP 的结构的性质的单轴的张力的紧张的各向异性的影响用密度解释功能的理论。这研究表明由单轴的紧张的在 BP 的在里面飞机和 out-of-plane 声子模式的选择调节的可能性并且使紧张工程成为一条有希望的大街为广泛地 modulating 2D 材料的光、机械的性质。 | Yanlong Wang Chunxiao Cong Ruixiang Fei Weihuang Yang Yu Chen Bingchen Cao Li Yang Ting Yu | 2015 | Nano Research2015，8，12： | 9 |
| 2 | Modified Carbothermal Synthesis of TiC Whiskers显示文摘A new approach to the massive production of TiC whiskers with high purity and low cost was presented. It is a modified carbothermal reduction method (MCTR) characterized by argon stream flowing vertically and passing through the interior of the mixture of raw materials. It is found for the first time that there is an optimum flow of the upward flowing argon stream, at which large quantity of high quality TiC can be obtained. This paper described the new method, analyzed the mechanism and conditions for the formation of high purity TiC whiskers on a large scale, and compared MCTR with the traditional carbothermal reduction method (TCTR). Based on the analysis and comparison, it is concluded that in order to produce high quality transition metal carbides, nitrides and carbonitrides with low cost TCTR must be replaced by MCTR. | Ruixiang Cao Cuirong Liu Zhisheng Wu Jinsheng Pan | 2011 | Journal of Materials Science & Technology2011，27，11： | 3 |
| 3 | Psychometric properties of the Caregiver Strain Questionnaire among Chinese parents of children with ADHD or ASD显示文摘Background There is an urgent need in clinical practice to measure the stress of parenting.The Caregiver Strain Questionnaire(CGSQ)was found to be useful to measure parenting stress,but it has not been validated among the Chinese population.Aims To assess the reliability and construct validity of the Chinese version of CGSQ among Chinese parents.Methods From 2016 to 2017,266 parents(patient group)with a child having DSM-5-defined attention deficit hyperactivity disorder(ADHD)(n=107)or autism spectrum disorder(ASD)(n=159)and 268 parents of healthy children(control group)were recruited to the present study in Kunming,Yunnan province.All the parents were asked to fill out the Chinese version of CGSQ.We conducted exploratory factor analysis and confirmatory factor analysis(CFA)to verify construct validity of CGSQ in both patient and control groups.Cronbach’s α coefficient as an index of internal consistency was assessed for each subscale.Fourteen days later,23 subjects filled out the scale again.Intra-class correlation coefficient was calculated to evaluate the test-retest reliability.Results(1)Cronbach’s alpha of the global scale was 0.901 for the control group and 0.952 for the patient group.The test-retest reliability for the whole scale was 0.890;(2)CFA indicated that the three-factor model had better fitting indices compared with the two-factor model in both groups.Besides,the fitting indices in the patient group were more favourable than those of the control group,withχ2/df=1.564,Goodness-of Fit Index=0.841,Comparative Fit Index=0.954,and root mean square error of approximation=0.065 for the patient group at three-factor model;(3)The caregiver strain of ASD parents was statistically higher than that of ADHD parents,and caregiver strain of ADHD parents was higher than that of control group.Conclusion These findings provide initial evidence to support the construct validity and reliability of CGSQ as a parenting stress measurement tool for Chinese parents,especially for parents of children with ADHD or ASD. | Runxu Yang Huizhi Zhou Jin Liu Yufeng Wang Yan Zhang Yanjiao Wang Ruixiang Liu Xia Cao Dong Han Shuran Yang Jianzhong Yang Chuanyuan Kang | 2021 | General Psychiatry2021，34，2： | 2 |
| 4 | Accuracy improvement for classifying retinal OCT images by diseases using deep learning-based selective denoising approach显示文摘In ophthalmology,retinal optical coherence tomography(OCT)images with noticeable structural features help identify human eyes as healthy or diseased.The recently hot arti ficial intelligence(AI)realized this recognition process automatically.However,speckle noise in the original retinal OCT image reduces the accuracy of disease classi fication.This study presents a timesaving approach based on deep learning to improve classi fication accuracy by removing the noise from the original dataset.Firstly,four pre-trained convolutional neural networks(CNNs)from the ImageNet Large Scale Visual Recognition Challenge(ILSVRC)were trained to classify the original images into two categories:The noise reduction required(NRR)and the noise-free(NF)images.Among the CNNs,VGG19 BN performed best with 98%accuracy and 99%recall.Then,we used the block-matching and 3D filtering(BM3D)algorithm to denoise the NRR images.Those noise-removed NRR and the NF images form the processed dataset.The quality of images in the dataset is prominently ameliorated after denoising,which is valid to improve the models'performance.The original and processed datasets were tested on the four pre-trained CNNs to evaluate the effectiveness of our proposed approach.We have compared the CNNs,and the results show the performance of the CNNs trained with the processed dataset is improved by an average of 2.04%,5.19%,and 5.10%under overall accuracy(OA),Macro F1-score,and Micro F1-score,respectively.Especially for DenseNet161,the OA is improved to 98.14%.Our proposed method demonstrates its effectiveness in improving classi fication accuracy and opens a new solution to reduce denoising time-consuming for large datasets. | Lantian Hu Ruixiang Guo Sifan Li Jing Cao Qian Liu | 2023 | Journal of Innovative Optical Health Sciences2023，16，6： | 0 |
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