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Search Results: 1 - 10 of 6477 matches for " Shuchun Mao "
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Diagnosis of Premature Senescence of Cotton Using SPAD Value  [PDF]
Pengcheng Li, Helin Dong, Aizhong Liu, Jingran Liu, Miao Sun, Guoping Wang, Siping Zhang, Yabing Li, Shuchun Mao
Agricultural Sciences (AS) , 2014, DOI: 10.4236/as.2014.511107
Abstract: Field experiments were conducted in 2011 on an experimental farm at the Cotton Research Insti-tute, Chinese Academy of Agricultural Sciences, Anyang, China. We conducted experiments with a “SPAD-502” meter to quickly measure the relative value of chlorophyll content in the leaf blades of field cotton. Our goal was to seek a suitable leaf on a cotton plant to diagnose senescence status of crop plants at later stages of growth. We began by studying the dynamic change rule of the dis-tal-most four leaves of the cotton plant during the entire growth period with two early-maturing cultivars (CCRI 36, CCRI 50) and two mid-maturing cultivars (CCRI 41, SCRC 28). We also examined the effect of different nitrogen and potassium fertilizer rates on SPAD values of the leaves of SCRC 28. Our results suggest that SPAD values of the 1st distal stem leaves from two early cultivars can act as good indicators of senescence status in the plants, if they are measured between 10 d before the boll-opening stage and 10 d after boll opening stage. Differences of SPAD values of the 3rd distal stem leaves of two mid-maturing cultivars measured between about 15 d before the boll opening stage and 15 d after the boll opening stage can also be used to measure senescence status in these cotton cultivars. The conclusion can be used for cotton producer to manage N fertilizer better at later growth stage.
The isotopic abundance and atomic weight of natural uranium
Yongfu Liu,Shuchun Fu
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882489
Abstract: The published measurement data of atomic weight of uranium are shown in table 4[9]. The best results are those measured by Smith and Cowanet al. A r (U) = 238.028 79–238.028 90(3), their result error being ISD. The evaluated value of IUPAC-CAWIA is Ar(U)=238.028 9(1). In this work, the result is Ar(U) = 238.028 91(4). The combined uncertainty has been given according to 2SD of the measurement data through the calibration of a series of standard materials of uranium isotopes. It is reasonable to conclude that in this work the uncertainty which characterizes the measurement quality is better than other published data.
A Critical Study of the Elastic Properties and Stability of Heusler Compounds: Phase Change and Tetragonal X2YZ Compounds  [PDF]
Shuchun Wu, S. Shahab Naghavi, Gerhard H. Fecher, Claudia Felser
Journal of Modern Physics (JMP) , 2018, DOI: 10.4236/jmp.2018.94050
Abstract: In the present work, the elastic constants and derived properties of tetragonal Heusler compounds were calculated using the high accuracy of the full-potential linearized augmented plane wave (FPLAPW) method. To find the criteria required for an accurate calculation, the consequences of increasing the numbers of k-points and plane waves on the convergence of the calculated elastic constants were explored. Once accurate elastic constants were calculated, elastic anisotropies, sound velocities, Debye temperatures, malleability, and other measurable physical properties were determined for the studied systems. The elastic properties suggested metallic bonding with intermediate malleability, between brittle and ductile, for the studied Heusler compounds. To address the effect of off-stoichiometry on the mechanical properties, the virtual crystal approximation (VCA) was used to calculate the elastic constants. The results indicated that an extreme correlation exists between the anisotropy ratio and the stoichiometry of the Heusler compounds, especially in the case of Ni2MnGa. Metastable cubic Ni2MnGa exhibits a very high anisotropy (28) and hypothetical cubic Rh2FeSn violates the Born-Huang stability criteria in the L21 structure. The bulk moduli of the investigated tetragonal compounds do not vary much (130 ...190 GPa). The averaged values of the other elastic moduli are also rather similar, however, rather large differences are found for the elastic anisotropies of the compounds. These are reflected in very different spatial distributions of Young’s moduli when comparing the different compounds. The slowness surfaces of the compounds also differ considerably even though the average sound velocities are in the same order of magnitude (3.2 ... 3.6 km/s). The results demonstrate the importance of the elastic properties not only for purely tetragonal Heusler compounds but also for phase change materials that exhibit magnetic shape memory or magnetocaloric effects.
The isotopic abundance and atomic weight of natural uranium

Yongfu Liu,Shuchun Fu,

科学通报(英文版) , 1997,
Abstract: Conclusion The published measurement data of atomic weight of uranium are shown in table 49]. The best results are those measured by Smith and Cowanet al. A r (U) = 238.028 79–238.028 90(3), their result error being ISD. The evaluated value of IUPAC-CAWIA is Ar(U)=238.028 9(1). In this work, the result is Ar(U) = 238.028 91(4). The combined uncertainty has been given according to 2SD of the measurement data through the calibration of a series of standard materials of uranium isotopes. It is reasonable to conclude that in this work the uncertainty which characterizes the measurement quality is better than other published data.
Two-Edge-Corner Image Features for Registration of Geospatial Images with Large View Variations  [PDF]
Parvaneh Saeedi, Mao Mao
International Journal of Geosciences (IJG) , 2014, DOI: 10.4236/ijg.2014.511109
Abstract: This paper presents a robust image feature that can be used to automatically establish match correspondences between aerial images of suburban areas with large view variations. Unlike most commonly used invariant image features, this feature is view variant. The geometrical structure of the feature allows predicting its visual appearance according to the observer’s view. This feature is named 2EC (2 Edges and a Corner) as it utilizes two line segments or edges and their intersection or corner. These lines are constrained to correspond to the boundaries of rooftops. The description of each feature includes the two edges’ length, their intersection, orientation, and the image patch surrounded by a parallelogram that is constructed with the two edges. Potential match candidates are obtained by comparing features, while accounting for the geometrical changes that are expected due to large view variation. Once the putative matches are obtained, the outliers are filtered out using a projective matrix optimization method. Based on the results of the optimization process, a second round of matching is conducted within a more confined search space that leads to a more accurate match establishment. We demonstrate how establishing match correspondences using these features lead to computing more accurate camera parameters and fundamental matrix and therefore more accurate image registration and 3D reconstruction.
Recent progress and concerns in dementia: Distinguishing Alzheimer's disease and dementia with Lewy bodies via biochemical markers in the cerebrospinal fluid  [PDF]
Peizhong Mao
Advances in Biological Chemistry (ABC) , 2012, DOI: 10.4236/abc.2012.22022
Abstract: Dementia is mainly a neurodegenerative disorder involved in several systems, including central nervous system, endocrinology/metabolism system and circulatory system. Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB) are the most common forms of the dementia, accounting for 60% - 80% and 10% - 20% of all cases, respectively. DLB is defined by widespread neocortical, limbic and brainstem Lewy bodies but frequently accompanied by variable levels of AD pathology. This pathological and clinical overlap makes their differential diagnosis complicated. Recent advances in the identification of disease bio-markers now make it possible to detect and distinguish their pathology in the early or preclinical stage of the diseases, even in cognitively normal individuals. In addition to the key biomarkers (amyloid β or Aβ, tau and α-synuclein), neurotrophins such as cocaine- and amphetamine-regulated transcript (CART) have also drawn attention due to their expressions and functions. This article summarizes the progress in the definition, pathology and diagnosis of dementia, with a focus on potential biochemical markers in the cere-brospinal fluid (CSF) in the differential diagnosis of the main forms of dementia. To prediction or early diagnosis of dementia, the role of specific and sensitive CSF biomarkers seems to be crucial in a routine clinical setting. The concerns and challenges in the biomarker field are also discussed.
Social Influence of Migrant Workers’ ICT Using in China  [PDF]
Chun Mao
Advances in Applied Sociology (AASoci) , 2014, DOI: 10.4236/aasoci.2014.42007
Abstract:

Social influence is one of the most important factors in changing one’s behavior. There are many factors included in social influence of migrant workers’ information communication technology (ICT) using in China. For example, family, friends, related agencies such as Trade Union and the Department of human resources and social security, and the leaders of villages, play important roles in influencing the migrant workers community to use ICT equipment. The primary research method is quantitative. There are 200 migrant worker respondents from 4 provinces. The result indicates that social influence on migrant workers’ ICT usage is not high. Colleagues, family, and villagers do influence migrant workers’ use of ICT. The lowest mean score in this research is relating to the relevant migrant workers agencies.

Research on Undergraduate Students’ Usage Satisfaction of Mobile Learning  [PDF]
Chun Mao
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.58072
Abstract:


This research focuses on the usage satisfaction of mobile learning among undergraduate students, and adopts the structure of close-ended and the Likert-Scale five-point measure questionnaire. There are 300 respondents from Southwest University. The questionnaires are randomly delivered to students from different majors and grades. The result indicates: 1) most of the undergraduate students are satisfied with mobile learning (76%) and will use mobile learning in future learning (84%). 2) More than half of the respondents have benefited from mobile learning, especially in quickly solving problems encountered in learning and making better use of learning time. 3) Undergraduate students are satisfied with the text content and image content in mobile learning, but the video content gets few agreements (11.4%). 4) The item “I am satisfied with the mobile learning resources provided by my university” gets the lowest mean score (M = 2.15), so teachers and universities should pay more energy and effort to promote the quality of mobile learning resources.


Friends and Relaxation: Key Factors of Undergraduate Students’ WeChat Using  [PDF]
Chun Mao
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.58075
Abstract:


This paper aims to study the factors of undergraduate students’ WeChat using, and adopts the structure of close-ended and the Likert-scale five-point measure questionnaire. We choose 200 undergraduate students as the respondents, randomly from different majors and grades. The result indicates: 1) almost all of the respondents use WeChat every day, and 18.8% of them use WeChat more than 2 hours per day. 2) The influence of friends is a major factor in using WeChat among undergraduate students. The item “Most of my friends use WeChat and encourage me to use” and “WeChat helps me to keep in touch with friends” recorded the highest and second highest mean score (4.03; 3.97). 3) WeChat is a good way to release stress and relaxation for undergraduate students. It brings them more laughter and joy. 4) Family has no significant influence on WeChat using, and only 10% of the respondents agree with the item “I often chat with strangers in WeChat”.


Research on the Geological Sourcing of Raohe Honey by Inductively Coupled Plasma Mass Spectrometry with Primary Composite Analysis and Forecasting Models  [PDF]
Lijun Mao
American Journal of Analytical Chemistry (AJAC) , 2015, DOI: 10.4236/ajac.2015.65046
Abstract: Raohe honey (Honey in Raohe) is the only product which has obtained China’s national geographical mark for honey; however, it is always counterfeited by some producers due to its excellent quality. In this research, Raohe honey was identified by geographical sourcing, where the detection on 166 Raohe honey samples and 31 non-Raohe honey samples was conducted with Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Additionally, the method of Primary Composite Analysis accomplished dimensionality reduction by transforming the abundance ratios variables of 13 isotopes to 4 primary composites, and could explain 91.17% of the total variables. There were five models: Decision Tree, Naive Bayes, Neural Network, Partial Least Square Discriminate and Support Vector Machine, built on the four new variables of primary composites with the Agilent MPP Software. The validation of the models was performed with 11 Raohe honey samples and 5 non-Raohe honey samples randomly selected. The accuracies of the Decision Tree and Support Vector Machine models were both 93.97%, and those of the Naive Bayes and Neural Network models were both 87.5%, while the contribution rate of the Partial Least Square Discriminate model was only 75%. It was concluded that the Decision Tree and Support Vector Machine models could be used for indentifying Raohe honey, and the Naive Bayes and Neural Network models could work as references, while the Partial Least Square Discriminate model was not suitable for identifying Raohe honey.
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