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Search Results: 1 - 10 of 119701 matches for " ZHANG Min "
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Research Status and Progress of Genetic Mechanism of Abnormal Regular Sterane Distribution in Geological Bodies  [PDF]
Min Zhang
Open Journal of Yangtze Oil and Gas (OJOGas) , 2018, DOI: 10.4236/ojogas.2018.31006
Abstract: Regular steranes occur ubiquitously in petroleum and hydrocarbon source rocks as an important composition part of biological markers. Abnormal regular sterane distribution occurring in hydrocarbon source rocks and crude oils has been widely reported in recent years, but their origin and genetic mechanism are unclear. This research gives an overview of regular steranes in sediments and crude oils, and states its possible development directions in the future. Based on systematic research on compound-specific carbon isotope compositions of regular steranes in sediments and crude oils using separation, enrichment, and purification of regular steranes in sediments and crude oils, combined with organic petrological, micropaleontological, and sedimentary geochemical characteristics of hydrocarbon source rocks with abnormal distribution of regular steranes, the occurrence, variation and main controlling factors of these compounds will be discussed, thus further uncovering their genetic mechanism and probing into their application on assessment of organic matter source, depositional environment and thermal maturity, as well as oil and source correlation. It not only enriches and improves the approaches and theories on biomarker study, but also will be the breakthrough for the new theory and application in oil and gas exploration.
Research on the Development Path of Integrated Innovation between Tourism and Cultural Creative Industry—Taking Changzhou Eco-Cultural Tourism Area as an Example  [PDF]
Min Zhang
American Journal of Industrial and Business Management (AJIBM) , 2019, DOI: 10.4236/ajibm.2019.91006
Abstract: With the improvement and promotion of people’s living standards, the rapid development of cultural creative industry and the increase of tourism demand, cultural creative tourism has become a new type of industry, and the integration of tourism and cultural creative industry has become an inevitable trend. Based on the analysis of the current situation of tourism development and the integration development of tourism and cultural creative industry in Changzhou, this paper finds that there are some problems in tourist areas, such as insufficient embodiment of cultural creative elements, not prominent characteristics of tourism and cultural creative integration etc.; therefore it puts forward the path of integration and innovation between tourism and cultural creative industry in Changzhou eco-cultural tourism area. That is, optimizing the spatial pattern and perfecting the functional zoning, reshaping the old scenery around the core theme, developing the characteristic resources and building the flagship project, creating the creative environment and encouraging the innovation and entrepreneurship.
The Study of the Supply Chain Cooperation Mechanism Based on the “Information Economic Man Assumption”  [PDF]
Min Zhang, Zhenggang Chi
American Journal of Industrial and Business Management (AJIBM) , 2013, DOI: 10.4236/ajibm.2013.34048

Widely accepted social regulations are playing an important role in influencing human cooperation, which largely reduces the demand for information and helps in forming a stable cooperation partnership. Based on this, we put forward a rational and social consistent economic agent mode—The “Information Economic Man Assumption”. Taking Field Theory for reference, we established the organizational information mode and introduced the concept of capital vector. Also the capital vector of economic organization and value orientation are taken as core variables, thus we analyze the basic condition of cooperation maintenance from economic, cultural and moral factors at the same time.

The Study on First-Aid Education of Disaster for Primary School Student in China  [PDF]
Min Zhang, Li Li Guo, Min Xu
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B029

Objective:To investigate current status of school disaster education of primary school students and analyze potential causes and discuss how to establish a corresponding education mode. Methods:The questionnaires of disaster knowledge for Primary and middle school students were used in this study and a random sampling method was adopted for the research. Results:The primary school students maintained the high rate of disaster attention. 73% primary school students had pay attention to the occurrence of disasters; more than 75% primary school students were lack of knowledge on disaster prevention and mitigation and 58.5% students were not satisfied with school disaster education work. Conclusions:There was dislocation between the way and mode of school disaster education.It might improve the quality of the disaster education and expand the disaster education to promote the development of disaster education.

Automatic Construction Method for Domain Concepts Based on Wikipedia Semantic Knowledge Base  [PDF]
Qiaoyan Zhang, Min Lin, Shujun Zhang
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.51006
Abstract: This paper proposes a method to construct conceptual semantic knowledge base of software engineering domain based on Wikipedia. First, it takes the concept of SWEBOK V3 as the standard to extract the interpretation of the concept from the Wikipedia, and extracts the keywords as the concept of semantic; Second, through the conceptual semantic knowledge base, it is formed by the relationship between the hierarchical relationship concept and the other text interpretation concept in the Wikipedia. Finally, the semantic similarity between concepts is calculated by the random walk algorithm for the construction of the conceptual semantic knowledge base. The semantic similarity of knowledge base constructed by this method can reach more than 84%, and the effectiveness of the proposed method is verified.
Discovery of tar mats in terrestrial gas-condensate reservoirs and its geological significance
Min Zhang
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882875
A Faster Structured-Tag Word-Classification Method
Min Zhang
Computer Science , 1996,
Abstract: Several methods have been proposed for processing a corpus to induce a tagset for the sub-language represented by the corpus. This paper examines a structured-tag word classification method introduced by McMahon (1994) and discussed further by McMahon & Smith (1995) in cmp-lg/9503011 . Two major variations, (1) non-random initial assignment of words to classes and (2) moving multiple words in parallel, together provide robust non-random results with a speed increase of 200% to 450%, at the cost of slightly lower quality than McMahon's method's average quality. Two further variations, (3) retaining information from less- frequent words and (4) avoiding reclustering closed classes, are proposed for further study. Note: The speed increases quoted above are relative to my implementation of my understanding of McMahon's algorithm; this takes time measured in hours and days on a home PC. A revised version of the McMahon & Smith (1995) paper has appeared (June 1996) in Computational Linguistics 22(2):217- 247; this refers to a time of "several weeks" to cluster 569 words on a Sparc-IPC.
Bayesian profiling of molecular signatures to predict event times
Dabao Zhang, Min Zhang
Theoretical Biology and Medical Modelling , 2007, DOI: 10.1186/1742-4682-4-3
Abstract: We present a two-stage procedure to profile molecular signatures for survival outcomes. Firstly, we group closely-related molecular features into linkage clusters, each portraying either similar or opposite functions and playing similar roles in prognosis; secondly, a Bayesian approach is developed to rank the centroids of these linkage clusters and provide a list of the main molecular features closely related to the outcome of interest. A simulation study showed the superior performance of our approach. When it was applied to data on diffuse large B-cell lymphoma (DLBCL), we were able to identify some new candidate signatures for disease prognosis.This multivariate approach provides researchers with a more reliable list of molecular features profiled in terms of their prognostic relationship to the event times, and generates dependable information for subsequent identification of prognostic molecular signatures through either biological procedures or further data analysis.High-throughput biotechnologies such as microarray and mass spectrometry permit simultaneous measurements of enormous bodies of genomic, proteomic, and metabolic information to be made. Such information helps us understand the molecular basis of important clinical outcomes, and thus improves the efficiency as well as accuracy in clinical decision making. More specifically, a small subset of these molecules can be used as biomarkers in daily clinical practice for detecting disease at early stages, measuring disease progress, monitoring the efficacy of treatments, and potentially accelerating the drug discovery process. However, the promise of genomics, proteomics, and metabolomics in clinical medicine rests on identifying these disease-specific molecular signatures. Clinical and preclinical studies of patients' genomics and proteomics profiles usually present datasets that share common characteristics, i.e., many molecular features ("large p") collected from few individuals ("small n"). The statist
Improved Detection of Cervical Cancer and High Grade Neoplastic Lesions by a Combination of Conventional Cytology and DNA Automated Image Cytometer  [PDF]
Zuming Li, Min Zhang, Hua Li
Journal of Cancer Therapy (JCT) , 2010, DOI: 10.4236/jct.2010.12008
Abstract: OBJECTIVE: To reduce false-negative rates of population based cervical screening programs employing conventional cytology in combination with automated DNA image cytometer. METHODS: Involved cervical samples from a total of 3603 women were taken by a cervix brush and then placed into a fixative solution. The cells were separated from mucus by mechanical and chemical treatment after which they were deposited onto microscope slides by a cytospin. Two slides were prepared from each case; one slide was stained by Papanicolaou stain for conventional cytology examination, while the other slide was stained by a DNA specific and stoichiometric stain. The latter slide was used to determine the relative amount of DNA in the cell nuclei in order to assess the ploidy status of the epithelial cells. Enrolled in the study, 157 women were followed by colposcopy examination where punch biopsies were taken from the visible lesions or from suspicious areas. The results of the conventional cytology were then compared to the DNA image cytometer for all samples. RESULTS: Histopathology diagnosed 51 lesions from the 132 biopsied cases as CIN2 or higher, including 27 CIN2, 16 CIN3 and 8 invasive cancers. Conventional cytology correctly identified 29 of the 51 high grade CIN and in-vasive cancer, while DNA image cytometer correctly identified 38 high grade CIN and invasive cancer using the crite-rion that at least three cells were found on the slide that contained DNA amount in excess of 5c. 42 out of 51 high grade CIN and invasive cancer were found by conventional cytology in combination with DNA image cytometer. Sensitivities were 56.8%, 74.5% and 82.4%, while specificities were 86.2%, 81.5% and 81.5% in conventional cytology, DNA image cytometer and combination both cytology and DNA image cytometer respectively. CONCLUSION: The study demon-strated that screening for high grade neoplastic lesions and cervical cancer by DNA image cytometer or combination of conventional cytology and DNA image cytometer is more sensitive than conventional screening approach.
Immune Optimization Approach for Dynamic Constrained Multi-Objective Multimodal Optimization Problems  [PDF]
Zhuhong Zhang, Min Liao, Lei Wang
American Journal of Operations Research (AJOR) , 2012, DOI: 10.4236/ajor.2012.22022
Abstract: This work investigates one immune optimization approach for dynamic constrained multi-objective multimodal optimization in terms of biological immune inspirations and the concept of constraint dominance. Such approach includes mainly three functional modules, environmental detection, population initialization and immune evolution. The first, inspired by the function of immune surveillance, is designed to detect the change of such kind of problem and to decide the type of a new environment; the second generates an initial population for the current environment, relying upon the result of detection; the last evolves two sub-populations along multiple directions and searches those excellent and diverse candidates. Experimental results show that the proposed approach can adaptively track the environmental change and effectively find the global Pareto-optimal front in each environment.
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