Study on Brain Computer Interface based on Motor Imagery

Yu Zhou,Jinhui Zhao,Xiaoming Zhou 보안공학연구지원센터(IJSIP) 2013 International Journal of Signal Processing, Image Vol.6 No.4

Predominant expression of exon 7 skipped SMN mRNAs in lung based on analysis of transcriptome sequencing datasets

Yang, Xiaoming,Shen, Haihong,Gao, Xue,Zheng, Xuexiu,Qin, Ryan,Zhou, Jianhua Springer-Verlag 2014 NEUROLOGICAL SCIENCES Vol.35 No.3

In Vitro Synergistic Interaction of 5-O-Methylglovanon and Ampicillin against Ampicillin Resistant Staphylococcus aureus and Staphylococcus epidermidis Isolates

Xuezhang Zhou,Fang Jia,Xiaoming Liu,Jinhui Yang,Yuyan Zhang,Yujiong Wang 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.10

5-O-methylglovanon (5-O-MG) is a bioactive compound that was first isolated and characterized from Glycosmis plants. In this study, we found that chemically synthesized 5-O-MG has antimicrobial ability against eleven clinical ampicillin resistant Staphylococcus aureus and S. epidermidis isolates. The MICs of 5-O-MG against the S. aureus and S. epidermidis isolates were 12.5-50 μg/mL and 25-50 μg/mL, respectively. In combination with ampicillin, a synergistic interaction between 5-O-MG and ampicillin against the eleven resistant Staphylococcus isolates was observed, with fractional inhibitory concentration indices of 0.03-0125. Moreover, the anti-staphylococcal activity of 5-O-MG in combination with ampicillin was comparable with that of clavulanic acid in combination with ampicillin. The drug combination had no antagonistic effects when tested against any of the strains. Time-killing assays confirmed the synergy between 5-O-MG and ampicillin (p < 0.01). The combination of these two agents yielded greater than a 2 log_10 cfu/mL decrease in comparison with 5-O-MG or ampicillin alone. These findings suggest that 5-O-MG is a promising compound with the potential for future anti-staphylococcal drug development.

Imposed drought effects on carbon storage of moso bamboo ecosystem in southeast China: results from a field experiment

Ge, Xiaogai,Zhou, Benzhi,Wang, Xiaoming,Li, Qian,Cao, Yonghui,Gu, Lianhong Springer Japan 2018 Ecological research Vol.33 No.2

<P><B>Abstract</B></P><P>Drought can severely affect carbon dynamics in forest ecosystems through impacts on carbon storage, reduced carbon fixation, abatement of the carbon sink function, and alteration of carbon sink‐source relationships. Currently, little is known about the effects of drought on the productivity and spatial patterns of carbon in bamboo forests. The objective of this study was to assess the effect of imposed drought on the carbon storage and soil carbon dynamics of a bamboo forest ecosystem in subtropical area of China. Drought was imposed via throughfall exclusion in moso bamboo forest from July 2012 to April 2013. Results indicated that bamboo shoots, new culms, shoot height, and diameter at breast height were significantly lower in throughfall exclusion (TE) plots than in control check (CK) plots, with decrease of 64.6, 70.8, 10.6 and 11.3%, respectively. Annual carbon sequestration for TE plots was 58.1% lower than that for CK plots. Soil carbon storage in the 0–60‐cm layer in CK and TE plots decreased by 3.7 and 12.2%, respectively, indicating that drought can decrease soil respiration by altering substrate availability. Ecosystem carbon storage increased by 4.75 t ha<SUP>−1</SUP> in CK plots but decreased by 13.71 t ha<SUP>−1</SUP> in TE plots. Our findings highlight that drought can reduce carbon storage and alter the spatial pattern of carbon in moso bamboo forest ecosystems, particularly when drought occurs during the development bamboo shoot. Our findings should provide a better understanding of carbon sequestration potential and aid determination of how future climate change may impact carbon budgets.</P>

Molecular cloning and expression analysis of the highly conserved eukaryotic translation initiation factor 5A (eIF-5A) from Antheraea pernyi

Dandan BIAN,Xiaoming ZHAO,Li CHEN,Jiwu TIAN,Qiuning LIU,Chunlin ZHOU,Boping Tang 한국곤충학회 2018 Entomological Research Vol.48 No.1

Eukaryotic initiation factor 5A (eIF‐5A) is a highly conserved protein found in all eukaryotic organisms that plays a key role in the regulation of many cellular processes including translation elongation, cell proliferation, programmed cell death, mRNA turnover and decay, and abiotic stress responses. In this study, the eIF‐5A gene from the Chinese oak silkworm Antheraea pernyi (Lepidoptera: Saturniidae) was characterized. The full‐length ApeIF‐5A cDNA of 1056 bp includes a 5′‐untranslated region (UTR) of 138 bp, a 3′‐UTR of 435 bp, and an open reading frame of 483 bp encoding a polypeptide of 160 amino acids. The deduced ApeIF‐5A protein shares 99 %, 82 %, and 72 % sequence identity with orthologs in Bombyx mori, Drosophila melanogaster and Homo sapiens, indicating high conservation during animal evolution. Real‐time quantitative reverse transcription PCR revealed expression in all four developmental stages and in all nine tissues tested, consistent with an important role in development. After challenge with lipopolysaccharide, the expression levels of ApeIF‐5A were markedly upregulated. Phylogenetic analysis of amino acid sequences revealed A. pernyi eIF‐5A was closely related to B. mori eIF‐5A, consistent with traditional classification and other molecular data. The results indicate the potential value of eIF‐5A in phylogenetic analysis.

Optimizing the Imaging Protocol for Ex Vivo Coronary Artery Wall Using High-Resolution MRI: An Experimental Study on Porcine and Human

Jiong Yang,Tao Li,Xiaoming Cui,Weihua Zhou,Xin Li,Xinwu Zhang 대한영상의학회 2013 Korean Journal of Radiology Vol.14 No.4

Objective: To optimize the MR imaging protocol for coronary arterial wall depiction in vitro and characterize the coronary atherosclerotic plaques. Materials and Methods: MRI examination was prospectively performed in ten porcine hearts in order to optimize the MR imaging protocol. Various surface coils were used for coronary arterial wall imaging with the same parameters. Then, the image parameters were further optimized for high-resolution coronary wall imaging. The signal-noise ratio (SNR) and contrast-noise ratio (CNR) of images were measured. Finally, 8 human cadaver hearts with coronary atherosclerotic plaques were prospectively performed with MRI examination using optimized protocol in order to characterize the coronary atherosclerotic plaques. Results: The SNR and CNR of MR image with temporomandibular coil were the highest of various surface coils. High-resolution and high SNR and CNR for ex vivo coronary artery wall depiction can be achieved using temporomandibular coil with 512 x 512 in matrix. Compared with histopathology, the sensitivity and specificity of MRI for identifying advanced plaques were: type IV-V (lipid, necrosis, fibrosis), 94% and 95%; type VI (hemorrhage), 100% and 98%; type VII (calcification), 91% and 100%; and type VIII (fibrosis without lipid core), 100% and 98%, respectively. Conclusion: Temporomandibular coil appears to be dramatically superior to eight-channel head coil and knee coil for ex vivo coronary artery wall imaging, providing higher spatial resolution and improved the SNR. Ex vivo high-resolution MRI has capability to distinguish human coronary atherosclerotic plaque compositions and accurately classify advanced plaques.

Combining Non-Contrast CT Signs With Onset-to-Imaging Time to Predict the Evolution of Intracerebral Hemorrhage

Song Lei,Qiu Xiaoming,Zhang Cun,Zhou Hang,Guo Wenmin,Ye Yu,Wang Rujia,Xiong Hui,Zhang Ji,Tang Dongfang,Zou Liwei,Wang Longsheng,Yu Yongqiang,Guo Tingting 대한영상의학회 2024 Korean Journal of Radiology Vol.25 No.2

Objective: This study aimed to determine the predictive performance of non-contrast CT (NCCT) signs for hemorrhagic growth after intracerebral hemorrhage (ICH) when stratified by onset-to-imaging time (OIT). Materials and Methods: 1488 supratentorial ICH within 6 h of onset were consecutively recruited from six centers between January 2018 and August 2022. NCCT signs were classified according to density (hypodensities, swirl sign, black hole sign, blend sign, fluid level, and heterogeneous density) and shape (island sign, satellite sign, and irregular shape) features. Multivariable logistic regression was used to evaluate the association between NCCT signs and three types of hemorrhagic growth: hematoma expansion (HE), intraventricular hemorrhage growth (IVHG), and revised HE (RHE). The performance of the NCCT signs was evaluated using the positive predictive value (PPV) stratified by OIT. Results: Multivariable analysis showed that hypodensities were an independent predictor of HE (adjusted odds ratio [95% confidence interval] of 7.99 [4.87–13.40]), IVHG (3.64 [2.15–6.24]), and RHE (7.90 [4.93–12.90]). Similarly, OIT (for a 1-h increase) was an independent inverse predictor of HE (0.59 [0.52–0.66]), IVHG (0.72 [0.64–0.81]), and RHE (0.61 [0.54– 0.67]). Blend and island signs were independently associated with HE and RHE (10.60 [7.36–15.30] and 10.10 [7.10–14.60], respectively, for the blend sign and 2.75 [1.64–4.67] and 2.62 [1.60–4.30], respectively, for the island sign). Hypodensities demonstrated low PPVs of 0.41 (110/269) or lower for IVHG when stratified by OIT. When OIT was ≤ 2 h, the PPVs of hypodensities, blend sign, and island sign for RHE were 0.80 (215/269), 0.90 (142/157), and 0.83 (103/124), respectively. Conclusion: Hypodensities, blend sign, and island sign were the best NCCT predictors of RHE when OIT was ≤ 2 h. NCCT signs may assist in earlier recognition of the risk of hemorrhagic growth and guide early intervention to prevent neurological deterioration resulting from hemorrhagic growth.

A New Kmeans Clustering Algorithm for Point Cloud

Kun Zhang,Weihong Bi,Xiaoming Zhang,Xinghu Fu,Li Zhu,Kunpeng Zhou 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

With development of 3D scanner, it becomes more convenient to access point data. However, for processing the large-scale point cloud, it raised a new challenge for computer graphics. This paper places an emphasis on the point data own characteristics, and then the point data have been divided into certain point sets by clustering algorithm, that is will be divided into different clusters. In order to suit for the point data organization or space division, the clustering algorithm would be improved. This paper provided a new Kmeans algorithm with density constraints. Before processing the point cloud by Kmeans algorithm with density constraints, the density of the point cloud have been defined in this paper, the density of the point cloud can be used for quantification of the convergence. Finally, the Kmeans algorithm with density constraints is verified by the experiment results. Our experiment showed that the improved Kmeans can reduce the processing time, especially, As the increase of the value of K, that is number of cluster, the calculating time of the clustering algorithm can be decreased greatly. In addition, with the increases of the the scale of data size, the stability of the improved Kmeans algorithm has been verified.

Isolation and Characterization of a Doritaenopsis Hybrid GIGANTEA Gene, Which Possibly Involved in Inflorescence Initiation at Low Temperatures

Xiaoyan Luo,Chi Zhang,Xiaoming Sun,Qiaoping Qin,Mingbin Zhou,Kee Yoeup Paek,Yongyi Cui 한국원예학회 2011 원예과학기술지 Vol.29 No.2

In the Doritaenopsis hybrid, like most of the orchid species and hybrids, temperature is crucial for the vegetative-to-reproductive transition, and low temperature is required for bud differentiation. To understand the molecular mechanism of this process, an orchid GIGANTEA (GI) gene, DhGI1, was isolated and characterized by using the rapid amplification of cDNA ends (RACE) PCR technique. Sequence analysis showed that the full-length cDNA is 4,022 bp with a major open reading frame of 3,483 bp, and the amino acid sequence showed high similarity to GI proteins in Zea mays, Oryza sativa, Arabidopsis thaliana and other plants. Semi-quantitative RT-PCR revealed that DhGI1 was expressed throughout development and could be detected in roots, stems, leaves, peduncles and flower buds. The expression level of DhGI1 was higher when the plants were flowering at low temperature (22/18℃ day/night) than the other growth stages. Further analysis indicated that the accumulation of DhGI1 transcripts was significantly increased at low temperature, and concomitantly, initiation of the peduncle was observed. However, DhGI1 levels were low under high temperature (30/25℃) conditions, and flower initiation was inhibited. These results indicate that the expression of DhGI1 is regulated by low temperature and that DhGI1 may play an important role in inflorescence initiation in this Doritaenopsis hybrid at low temperatures.

A GAPSO-Enhanced Extreme Learning Machine Method for Tool Wear Estimation in Milling Processes Based on Vibration Signals

Zhi Lei,Qinsong Zhu,Yuqing Zhou,Bintao Sun,Weifang Sun,Xiaoming Pan 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.3

Tools are the most vulnerable components in milling processes conducted using numerical control milling machines, and their wear condition directly influences work-product quality and operational safety. As such, tool wear estimation is an essential component of NC milling operations. This study addresses this issue by proposing an extreme learning machine (ELM) method enhanced by a hybrid genetic algorithm and particle swarm optimization (GAPSO) approach for conducting tool wear estimation based on workpiece vibration signals. Here, a few feature parameters in the time, frequency, and time–frequency (Ensemble empirical mode decomposition, EEMD) domains of the workpiece vibration signals are extracted as the input of the ELM model. Then, the initialized weights and thresholds of the ELM model are optimized based on the GAPSO approach with training dataset. Finally, tool wear is estimated using the optimized ELM model with testing dataset. The effectiveness of the proposed method is verified by its application to vibration signals collected from two milling tool wear experiments (an open-access benchmark dataset and a milling tool wear experiment) by comparison to the ELM, GA-ELM, and PSO-ELM methods. The results indicate that the estimation accuracy and optimization efficiency of the proposed method outperforms that of other three methods.