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Search Results: 1 - 10 of 59528 matches for " SUN Juan "
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Heavy Metals’ Spatial Distribution Characteristics in a Copper Mining Area of Zhejiang Province  [PDF]
Hua Sun, Juan Li, Xiaojun Mao
Journal of Geographic Information System (JGIS) , 2012, DOI: 10.4236/jgis.2012.41007
Abstract: The spatial distribution characteristics of six heavy metals and metalloid in soil of Zhuji Lipu copper mining area, Zhejiang Province, was studied by using geostatistics approaches combined with GIS. These elements included Pb, As, Cr, Cu, Zn and Ni. The statistical analyses showed that concentrations of these elements were lognormal distribution. Concentrations of Pb, As, Cu, Zn and Ni were strongly correlated with each other indicating that these elements in soils may be from the same pollution source. However, accumulation of Cr was unique with its geometric mean being close to that in the control soil. This indicates that Cr content was mainly influenced by soil factors. The Kriging method was applied to estimate the unobserved points. The Kriging interpolation maps reflected significant spatial distribution of these elements as influenced by both pollution and geological factors. The present study indicated that GIS based geostatistics method could accurately analyze the spatial variation of heavy metals and metalloid in the mining area. Overall, higher concentrations of heavy metals and metalloid were found in the center of both the north and south sides. The content of copper in the south was significantly higher than that in the north due to paddy field land uses. In addition, the terrain of four terraces tilted to the center and the broad irrigation accident occurred in the 4th trench in the south of sampling area were also contributed to the higher concentrations of these elements.
Changes in precipitation and extreme precipitation in a warming environment in China
JianQi Sun,Juan Ao
Chinese Science Bulletin , 2013, DOI: 10.1007/s11434-012-5542-z
Abstract: This study analyses the decadal changes in winter precipitation and extreme precipitation in a warming environment in China. The results show that, together with a trend of winter warming in China, winter precipitation and extreme precipitation in the region are also increasing. In addition, concurrent with the decadal warming shift that occurred in the mid-1980s, precipitation and extreme precipitation both increased significantly. Quantitative analysis shows that precipitation and extreme precipitation increased at rates of 9.7% and 22.6% per 1°C of surface warming in China. This rate of precipitation increase is greater than the global mean, which indicates that precipitation in China is highly sensitive to climate warming and further highlights the importance of studying regional responses to climate warming. The fact that extreme precipitation is increasing at a higher rate than precipitation implies that winter precipitation in China will increasingly be of more extreme type in the context of global warming, which could partly explain why there have recently been a number of record-breaking extreme snowfall events in China.
English Grammatical Problems of Chinese Undergraduate Students
Juan Bao,Jing Sun
English Language Teaching , 2010, DOI: 10.5539/elt.v3n2p48
Abstract: Grammar teaching and learning is necessary in foreign language teaching. However, its function and method have been argued for decades. In the average teaching process in China, teachers divide grammar teaching into four stages: a) Presentation; b) Isolation and explanation; c) Practice; and d) Test. There are problems existing in grammar teaching in China now, including the inconsistence between the goal of teaching and real classroom teaching, ignorance of teachers and learners, inappropriate textbooks, and negative learning attitudes. According to a research on 10 English teacher and 30 undergraduate students in mainland China, the paper reports some conclusions and implications on grammar teaching in classroom. First, understanding students’ attitudes is a key factor in teaching. Second, grammatical rules should be presented and explained implicitly in certain contexts. Third, students’ involvement needs to be increased. Finally, more real communicative activities are effective in class.
Comparison of breakfast consumption in rural and urban among Inner Mongolia Medical University students  [PDF]
Teer Ba, Zhiyue Liu, Wenfang Guo, Yuki Eshita, Juan Sun
Open Journal of Preventive Medicine (OJPM) , 2013, DOI: 10.4236/ojpm.2013.34046
Abstract: Objective: The aim of current study was to investigate breakfast consumption between rural and urban among Inner Mongolia Medical University students, China. Method: From December 2010 to January 2011, a cross-sectional survey was conducted among medical students in the Inner Mongolia Medical University using a self-administered questionnaire. X2 was used to identify the differences between rural and urban. Result: The prevalence of breakfast consumption was 70.95%. The prevalence of breakfast in rural was higher than that in urban (72.09% vs. 69.78%). Breakfast consumption prevalence among male students in rural was higher 7.4% than those of students in urban. Students in Mongolian ethnic in rural were more likely to eat breakfast than Mongolian students in urban. The prevalence of breakfast decreases with grade increase both urban and rural. Students with good physical condition were more likely to eat breakfast compared with students with poor physical condition. Conclusion: The prevalence of regular breakfast consumption in rural was higher than that in urban. However, the prevalence of eating breakfast declined faster in rural than that in urban. Our study findings could help health care professionals develop targeted interventions designed to increase breakfast consumption.
Deep Exploration of Bifidobacteria through Metabolomics Study  [PDF]
Juan Li, Yatao Jiang, Yihao Shen, Qingzhi Li, Zhongke Sun
Journal of Biosciences and Medicines (JBM) , 2018, DOI: 10.4236/jbm.2018.65008
Abstract: Bifidobacteria are probiotic bacteria with multiple health-promoting properties for human being. The global market for probiotics, especially for bifidobacteria is booming. However, the entire market is still at an early stage as there is nearly no fine products developed yet except the whole bacterial cells. The maturation of metabolomics technologies make it possible to study complex mixture with high-throughput, comprehensive maps and libraries. Therefore, we prospect that metabolomics studies mainly based on liquid/gas chromatography-mass spectrometry (LC/GC-MS) can deepen our understanding in detail during the study of metabolic mechanisms of bifidobacteria. These studies can be conducted at three phases, including non-targeted, targeted metabolomic analysis of bifidobacteria, and specific metabolites production through metabolic engineering and fermentation. Metabolomic studies of bifidobacteria will allow us to fully explore their metabolic mechanisms and to utilize metabolites that contribute to human health. In particular, bifidobacteria derived conjugated linoleic acids and bacteriocins are two kinds of fined products that may have great potentials in the future and can be used as food additives.
Bioinformatic Survey of S-Layer Proteins in Bifidobacteria  [PDF]
Juan Li, Yihao Shen, Yatao Jiang, Le He, Zhongke Sun
Computational Molecular Bioscience (CMB) , 2018, DOI: 10.4236/cmb.2018.82003
Abstract: Surface layer (S-layer) proteins are one of the most commonly observed cell envelope components in both Archaea and Bacteria. It has versatile functions and holds considerable application potential in biotechnology. Bifidobacteria are representative probiotics conferring health promoting properties. However, there is little study of S-layer in bifidobacteria yet. The distribution and characteristics of S-layer in bifidobacteria are unknown. In this study, search for S-layer protein in the identical protein groups in NCBI yielded 49 hits belonging to bifidobacteria. These proteins were annotated as either “S-layer (domain) protein” or “putative S-layer (y) domain protein” that distributed among 26 species of Bifidobacterium genus. Multiple alignments suggest S-layer proteins are relatively conservative. Phylogenetic analysis of 24 S-layer (domain) protein sequences groups them into three distinct clusters, with the majority species in Cluster-2. S-layer (domain) protein has a universe motif DUF4381, though its function is unknown. Meanwhile, two other motifs CARDB and EphA2_TM involved in cell adhesion and cell signaling respectively, presented in most S-layer (domain) protein in bifidobacteria. All S-layer proteins have a typical N-terminal Sec-dependent signal peptide and a C-terminal trans-membrane region. Homological modeling of representative S-layer proteins from each cluster revealed a few unique structural features. All representative S-layer proteins have a plenty of β-meander motif that exclusively composed by β-barrel structural architectures linked together by hairpin loops.
Using the improved position specific scoring matrix and ensemble learning method to predict drug-binding residues from protein sequences  [PDF]
Juan Li, Yongqing Zhang, Wenli Qin, Yanzhi Guo, Lezheng Yu, Xuemei Pu, Menglong Li, Jing Sun
Natural Science (NS) , 2012, DOI: 10.4236/ns.2012.45043
Abstract: Identification of the drug-binding residues on the surface of proteins is a vital step in drug discovery and it is important for understanding protein function. Most previous researches are based on the structural information of proteins, but the structures of most proteins are not available. So in this article, a sequence-based method was proposed by combining the support vector machine (SVM)-based ensemble learning and the improved position specific scoring matrix (PSSM). In order to take the local environment information of a drug-binding site into account, an improved PSSM profile scaled by the sliding window and smoothing window was used to improve the prediction result. In addition, a new SVM-based ensemble learning method was developed to deal with the imbalanced data classification problem that commonly exists in the binding site predictions. When performed on the dataset of 985 drug-binding residues, the method achieved a very promising prediction result with the area under the curve (AUC) of 0.9264. Furthermore, an independent dataset of 349 drug- binding residues was used to evaluate the pre- diction model and the prediction accuracy is 84.68%. These results suggest that our method is effective for predicting the drug-binding sites in proteins. The code and all datasets used in this article are freely available at http://cic.scu.edu.cn/bioinformatics/Ensem_DBS.zip.
Prevalence of and factors associated with various level of body weight among Inner Mongolia medical students in China  [PDF]
Jiang Bian, He Yi, Zhiyue Liu, Gaimei Li, Teer Ba, Qing Zhang, Juan Sun
Open Journal of Preventive Medicine (OJPM) , 2012, DOI: 10.4236/ojpm.2012.22018
Abstract: Background: To date no study on the body weight of medical students in Inner Mongolia has been carried out. The aim of the present study was to determine the prevalence of and factors associated with various body weight levels, and the physical health status associated with body weight levels among medical students attending the Inner Mongolia Medical College of China in 2011. Methods: Data on participant characteristics came from basic information contained in the school database. Students’ body weight was categorized using standard height and weight and physical health status using the college student physical health standard. Factors associated with various level of body weight were identified using multinomial logistic regression analysis. Results: The sample comprised 2060 males and 5096 females. The appropriate body weight prevalence among the students was 51.7%. The prevalence of being overweight or obese was 5.8 and 8.5%, respecttively, higher compared to the typical prevalence among college students in China. Both male and female students in the 24-28-years age group had the lowest appropriate weight percentage and the highest obesity percentage among all the age groups. For female medical students, the prevalence of obesity for students studying in Clinical Medicine was higher than for other faculties. Multinomial logistic regression analysis of male students showed that lowest year of education (year 1) was a protective factor in regard to appropriate weight. For both male and female medical students, the obese group had the highest proportion of poor physical health status compared to other categories of body weight and the proportion with excellent physiccal health status constituted < 1% for males and 0% for females. Conclusions: School administrators should encourage medical students to actively participate in body weight training and education to improve attitudes toward inappropriate body weight, to increase protective factors, and reduce the risk factors for inappropriate body weight.
Risk factors for myopia in Inner Mongolia medical students in China  [PDF]
Yanyan Wu, He Yi, Wenzhong Liu, Haiying Jia, Yuki Eshita, Shubi Wang, Peng Qin, Juan Sun
Open Journal of Epidemiology (OJEpi) , 2012, DOI: 10.4236/ojepi.2012.24013
Abstract: Objective: The aim of the study was to investigate myopia and related factors in Inner Mongolia Medical Students, China. Methods: The survey employed a self-administered questionnaire. All medical students from the Inner Mongolia Medical University campus and those living and learning on campus were eligible. The questionnaire consisted of three sections: students’ basic information, attitude on myopia behavior, and myopia status of students. 6047 medical students completed the questionnaire. Results: A total of 6040 (90.5%) students aged 16 to 28 years (mean 21 ± 1.5 years) completed the questionnaire, of which 1772 (29.3%) were male and 4268 (70.6%) were female. The Mongolia of medical students had the lowest rate (64.3%) of myopia. The prevalence of myopia in Han nationality was highest (72.8%). Myopia occurred more frequently among students living in the city than in the rural. 76.4% urban and 66.6% rural students had myopia (p < 0.001). For myopia students it was established that 85.5% had begun to wear spectacles in middle school. Conclusion: A high myopia prevalence was demonstrated among medical students in the Inner Mongolia area of China. Our study’s findings could help health care professionals develop targeted myopia control policies for the population of students in Inner Mongolia of China and ensure the policies are more rational, useful, and effective.
Notch 1 and NF-κB Expression and Clinical Correlation in Chinese Patients with Lymphoblastic Lymphoma  [PDF]
Lin Lin, Xiaofei Sun, Juan Wang, Zijun Zhen, Suxia Lin, Gangling Tong, Yan Chen
Journal of Cancer Therapy (JCT) , 2013, DOI: 10.4236/jct.2013.43A053

T-cell acute lymphoblastic leukemia/lymphoma (T-ALL/T-LBL) is commonly associated with Notch 1 mutations. There is limited data on the relationship between Notch l and NF-κB expression and clinical features in LBL. We evaluated the expression of Notch l and NF-κB in LBL using immunohistochemistry and analyzed their relationship with clinical characteristics, treatment results, and survival. From October 2000 to August 2008, 34 untreated patients with LBL were enrolled in the study. Median age was 11.8 years (range, 1 - 25 years). Twenty-five patients were diagnosed with T-LBL and 9 patients with B-LBL. Most patients received chemotherapy consisting of modified ALL-BFM- 90. Notch l showed high expression in 68% of T-LBL and low expression in 100% of B-LBL (p = 0.015). High expression of Notch l positively correlated with presence of a mediastinal mass but not with 5-year event free survival (EFS) in T-LBL. NF-κB showed high expression in 65% of all patients with LBL, with no difference between T- and B-LBL. NF-κB expression was higher in T-LBL patients with bulky disease and B symptom; it did not correlate with 5-year EFS in T-LBL. Expression of Notch 1 and NF-κB strongly correlated (p = 0.014) in T-LBL. Notch 1 is highly ex- pressed in T-LBL. NF-κB is highly expressed in all patients with LBL with no difference between T-LBL and B-LBL. Notch 1 expression was significantly associated with NF-κB expression in T-LBL. Notch l and NF-κB may play an important role in the development of T-LBL; further investigation is warranted.

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