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Search Results: 1 - 10 of 37647 matches for " Ming Du "
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A Multi-Level Research on the Antecedents and Consequences of Group Task Satisfaction  [PDF]
Xiumei Wu, Biyan Wen, Ming Du
American Journal of Industrial and Business Management (AJIBM) , 2015, DOI: 10.4236/ajibm.2015.55028
Abstract: In this study, in order to examine antecedents and consequences of group task satisfaction, We collected 204 questionnaires with 35 hotel groups from 4 hotels located in Guangzhou and Shenzhen and used HLM to test the relationship between group task satisfaction and other variables in group level and individual level. The research findings show that employee individual job satisfaction mediates the effect of group task satisfaction on employee turnover intention and job performance; group task satisfaction mediates the positive effect of group cohesion and group job characteristics on individual job performance; group cohesion moderates the effect of individual job satisfaction on turnover intention and job performance.
Q Versatile Seismic Imager (QVSI) Successfully Predicts Target Depth and Pore-Pressure in HPHT Environment  [PDF]
Ming Chen, Guimei Pan, Shiyue Wang, Dianqiang Sun, Chao Du
Engineering (ENG) , 2017, DOI: 10.4236/eng.2017.92011
Abstract: Drilling in any environment is challenging as it poses a challenge to drill reservoir targets without losses and minimum casing strings and is even challenging in HPHT (high pressure high temperature) environment. Seismic is the fundamental for pre-drill prognosis and completion design. The target depth prognosis is achieved through depth transformation by using seismic velocities or available velocity logs in the nearby field or block and often has varying degree of uncertainty in target depths depending upon the suitable of the velocity function used. The velocity function used could be affected due to available seismic bandwidth or structure. These uncertainties in target depths often lead to increased well costs as a result of wellbore stability issues & undesired casing strings. Most common issue faced by drillers is the target confirmation & distance to these targets ahead of bit. Vertical seismic profile (VSP) look-ahead at intermediate depths is one of the approaches to mitigate these uncertainties and drill wells safely. VSP help confirm the presence of drilling targets & also predict the depth to top of these targets. Additionally, the predicted interval velocity is used to predict the pre-pressure for next section drilling. In South China Sea, oil & gas operators face a significant risk while drilling over-pressured formations. It is therefore imperative to know the depth to top of these high pressured formations to avoid drilling directly into it and risking the well. It is also important to know the pore-pressure and mud weight for the next section to be drilled for safe drilling & with minimum casing strings [1] [2] [3]. It is more difficult to get this information in the HPHT environment due to the lack of high temperature tools [4]. Schlumberger’s proprietary QVSI*—High pressure, high temperature VSI* (Versatile Seismic Imager) has been successfully used to predict the target depth for casing landing and pore-pressure prediction in HPHT environment. QVSI is the latest generation of VSI* Versatile Seismic Imager tools developed by Schlumberger to acquire high quality tri-axial borehole seismic data in extreme environment wells. The QVSI* tool uses the Q-Technology* singlesensor hardware and software and advanced wireline telemetry for fast digital seismic data transmission from borehole to surface. QVSI is a high-temperature, high-pressure array tool design that focuses on tri-axial vector fidelity and efficient data acquisition, extending the limits in a 4-tool configuration to 500
Ming-Ming Du,Seik Weng Ng
Acta Crystallographica Section E , 2011, DOI: 10.1107/s160053681103981x
Abstract: In the title polymeric complex, [Zn2(C6H2O4S)2(C4H9NO)2]n, each carboxylate group of the thiophene-2,5-dicarboxylate dianion bridges a pair of inversion-related dimethylacetamide-coordinated ZnII atoms, generating a layer motif parallel to (101). The ZnII atom shows a distorted square-pyramidal coordination; the apical site is occupied by the O atom of the dimethylacetamide molecule, whereas the four basal sites are occupied by carboxylate O atoms. In the crystal, the dimethylacetamide molecule is disordered over two positions in a 0.72 (1):0.28 (1) ratio in respect of the C atoms.
林木抗病基因定位研究现状及策略 The Status and Strategy of Studies on Disease Resistance Genesin Trees
遗传 , 1998,
Abstract: 提高植物抗病性是植物育种的重要目标之一,传统的抗病育种研究是十分复杂和费时的,如能分离和克隆抗病基因,在分子水平上对抗病基因进行操作并加以利用,则能大大加速抗病育种的进程。近年来,在鉴定和分离抗病基因方面取得了重大进展,对某些抗病基因进行操作已进入实...
Facile Solid-State Synthesis Route to Metal Nitride Nanoparticles

Yinxiao DU Ming LEI Hui YANG,

材料科学技术学报 , 2008,
Abstract: By a facile and efficient solid-state reaction route using an organic reagent cyanamide (CN2H2) as a precursor with another one being metal oxides, we successfully synthesized seven technologically important metal nitrides including cubic VN, CrN, NbN, hexagonal GaN, AIN, BN, and WN at moderate temperatures. The experimental results show that cyanamide (CN2H2) is a powerfully reducing and nitridizing reagent and the metal oxides are completely converted into the corresponding nitride nanoparticles at lower temperatures than that reported in the conventional methods. It is found that CN2H2 can exhibit some interesting condensation processes, and the final products, highly active carbon nitride species, play a crucial role in the reducing and nitridizing processes.
Uncertain Queries Processing in Probabilistic Framework
Ming He,Yong-ping Du
Journal of Computers , 2010, DOI: 10.4304/jcp.5.11.1663-1669
Abstract: Many applications today need to manage data that is uncertain, such as information extraction (IE), data integration, sensor RFID networks, and scientific experiments. Top-k queries are often natural and useful in analyzing uncertain data in those applications. In this paper, we study the problem of answering top-k queries in a probabilistic framework from a state-of-the-art statistical IE model-semi-Conditional Random Fields (CRFs)-in the setting of Probabilistic Databases that treat statistical models as first-class data objects. We investigate the problem of ranking the answers to Probabilistic Databases query. We present efficient algorithm for finding the best approximating parameters in such a framework to efficiently retrieve the top-k ranked results. An empirical study using real data sets demonstrates the effectiveness of probabilistic top-k queries and the efficiency of our method.
Computer Aided Investigation towards the Wind Power Generation Potentials of Guangzhou
Gang Yang,Yongxian Du,Ming Chen
Computer and Information Science , 2009, DOI: 10.5539/cis.v1n3p13
Abstract: Wind power generation potential of Guangzhou has been analyzed based on the wind speed data collected in the recent 30 years. In order to make the results more accurate, the Weibull distribution function is introduced and the two parameters can be identified by CAD method together with local weather data available. By referring to the power characteristics of the wind turbines, the monthly and yearly operating probabilities and the output power under different heights are analyzed. Given by the above data and the power generation cost, it is proved that although the wind power resources in Guangzhou is not very ideal, it can also be utilized to generate power.
量子电子学报 , 2010,
Abstract: 激光二极管分端面泵浦混合腔板条激光器(Innoslablaser)是上世纪九十年代后期在德国发展起来的一种新型全固态激光技术。介绍了这一技术的基本结构和优点,其发展过程中的一些重要研究工作,以及国内外研究现状,并对下一步的发展进行了展望。
Tumor Classification Using High-Order Gene Expression Profiles Based on Multilinear ICA
Ming-gang Du,Shan-Wen Zhang,Hong Wang
Advances in Bioinformatics , 2009, DOI: 10.1155/2009/926450
Abstract: Motivation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training gene expression profiles (GEP) ensemble, but it cannot distinguish relations between the different factors, or different modes, and it is not available to high-order GEP Data Mining. In order to generalize ICA, we introduce Multilinear-ICA and apply it to tumor classification using high order GEP. Firstly, we introduce the basis conceptions and operations of tensor and recommend Support Vector Machine (SVM) classifier and Multilinear-ICA. Secondly, the higher score genes of original high order GEP are selected by using t-statistics and tabulate tensors. Thirdly, the tensors are performed by Multilinear-ICA. Finally, the SVM is used to classify the tumor subtypes. Results. To show the validity of the proposed method, we apply it to tumor classification using high order GEP. Though we only use three datasets, the experimental results show that the method is effective and feasible. Through this survey, we hope to gain some insight into the problem of high order GEP tumor classification, in aid of further developing more effective tumor classification algorithms.
Expression of TRPM8 in the distal cerebrospinal fluid-contacting neurons in the brain mesencephalon of rats
Jing Du, Xinwei Yang, Licai Zhang, Yin-ming Zeng
Fluids and Barriers of the CNS , 2009, DOI: 10.1186/1743-8454-6-3
Abstract: Retrograde tracing of the cholera toxin subunit B labeled with horseradish peroxidase (CB-HRP) injected into the lateral ventricle was used to identify dCSF-CNs. A double-labeled immunofluorescent technique and laser scanning confocal microscopy were used to identify the expression of TRPM8 in dCSF-CNs. Software Image-Pro Plus was used to count the number of neurons in three sections where CB-HRP positive neurons were located in the mesencephalon of six rats.The cell bodies of CB-HRP-positive dCSF-CNs were found in the brain parenchyma near the midline of the ventral Aq, also in the grey of the 3V, and the 4V floor in the superior segment of the pons. In the mesencephalon their processes extended into the CSF. TRPM8 labeled neurons were also found in the same area as were CB-HRP/TRPM8 double-labeled neurons. CB-HRP/TRPM8 double-labeled neurons were found in 42.9 ± 2.3% of neurons labeled by TRPM8, and all CB-HRP-labeled neurons were also labeled with TPRM8.This study has demonstrated that the cold sensation receptor channel, TRPM8, is localised within the dCSF-CNs of the mesencephalon. TRPM8 acts as receptor of dCSF-CNs for sensation transmission and pain regulation.The transient receptor potential (TRP) channel is a transmembrane protein which is a thermo-sensitive channel that is expressed on sensory neurons and skin epithelial cells in vertebrate and non-vertebrate animals [1,2]. A subtype of TRP, TRPM8 which was originally cloned as a prostate-specific protein, has been widely known as a cold- and menthol-activated channel implicated in thermosensation. Recent studies have revealed that TRPM8 is not only necessary for cold sensation [3,4], but also mediates the process of analgesia for neuropathic pain activated by cold [5]. The results indicate that TRPM8 is related to cold-induced pain relief and may have some potential for pharmacological applications.There are three types of CSF-CNs: intraependymal neurons which project into the ventricle lumen and the centr
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