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Search Results: 1 - 10 of 81436 matches for " LIANG Meng-y "
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Chemical Control of Ipomoea cairica with Three Herbicides and Effect of 2,4-D Butylate on the Environment

ZHANG Tai-jie,LUO Jian-ning,LI Wei-hu,LIANG Meng-y,TIAN Xing-shan,PENG Chang-lian,

热带亚热带植物学报 , 2012,
Abstract: Ipomoea cairica is a notorious weed which has serious harm to the environment in South China. The effects of three chemical herbicides, such as 2,4-D butylate, dicamba and fluroxypyr, on control of I. cairica in the field were studied. The results showed that 2,4-D butylate (1.00 mL L-1) could eradicate this weed. The death rate of I. cairica stems and leaves was close to 100% after spraying 2,4-D butylate (1.00 mL L-1) in 20 days. The total biomass also decreased significantly in 60 days (P<0.05), and the growth did not recovery after 90 days. The final control effect of 2,4-D butylate (1.00 mL L-1) on Ipomoea cairica was 99.8%. After spraying dicamba (1.00 mL L-1) and fluroxypyr (1.00 mL L-1) in 40 days, the death rate of I. cairica stems and leaves were 99.0% and 100%, respectively, and the regeneration rate of I. cairica was 10% and 100% after 90 days. A few roots were survival sprayed dicamba (1.00 mL L-1) after 40 days. The herbicide residue analysis showed that 2,4-D butylate could degrade quickly with half-life for 14 days, and it could not be detected in the soil after 80 days. Furthermore, 2,4-D butylate (1.00 mL L-1) was relatively safe to other plants, which could regenerate after spraying 2,4-D butylate in 1 year. Therefore, it suggested that the Ipomoea cairica growth could be good control treated with 1.00 mL L-1 2,4-D butylate.
Simulation of smoke based on number of particle created function

TANG Yong,LI Xiao-yan,LV Meng-y,GAO Ying-hui,

计算机应用研究 , 2010,
Abstract: In simulation of large-scale virtual battlefield, smoke as an important part, its simulation is of great significance.It was difficult to balance the reality and the real-time in smoke simulation,proposed the level of detail, reducing the numbers of particle in simulation and improving the real-time. At the same time satisfied visual effect.Introduced combining physical model with particle system, added more detail of smoke and generated realistic smoke. Furthermore, imposed the method of threshold controll to judge if the particle should die, which made the simulation more realistic. Experiment testify that the system uses limited numbers of particle producing realistic and real-time smoke scene.
Discretizing three-dimensional wind field for falling snow simulation based on D3bQ15 lattice
基于 D3bQ15晶格离散三维风场的飘雪模拟 *

LV Meng-y,WANG Juan,TANG Yong,WANG Li-jun,DAI Jun-li,

计算机应用研究 , 2010,
Abstract: For the lattice BGK model, the numerical accuracy of the wind field is lower when the quantity of the discrete veloci ty is fewer, but the computational efficiency is slower when the quantity of the discrete velocity is more. This paper developed a new method. Used the D3bQ15 of body-centre cubic lattice to discrete three-dimensional wind field in view of the limitations of the Cartesian lattice. D3bQ15 lattice had better isotropic and the fewer samples in specific space. It could reconcile the con-tradictions between the accuracy and the efficiency caused by the quantity of discrete velocity. The results show that the new developed method can better meet the demand in the authenticity and the real-time for the falling snow scene than the Cartesian lattice.
Stability of Strutinsky Shell Correction Energy in Relativistic Mean Field Theory
Y. F. Niu,H. Z. Liang,J. Meng
Physics , 2009, DOI: 10.1088/0256-307X/26/3/032103
Abstract: The single-particle spectrum obtained from the relativistic mean field (RMF) theory is used to extract the shell correction energy with the Strutinsky method. Considering the delicate balance between the plateau condition in the Strutinsky smoothing procedure and the convergence for the total binding energy, the proper space sizes used in solving the RMF equations are investigated in detail by taking 208Pb as an example. With the proper space sizes, almost the same shell correction energies are obtained by solving the RMF equations either on basis space or in coordinate space.
Emotional Labor between Supervisors and Subordinates: Literature Review and Future Research  [PDF]
Meng Li, Linli Liang
Open Journal of Business and Management (OJBM) , 2016, DOI: 10.4236/ojbm.2016.41015
Abstract: This paper discusses the trend of the emotional labor research object from the external customers to the internal customers of the organization, and separately reviews the study of subordinates’ emotional labor on supervisors and the study of supervisors’ emotional labor on subordinates. Finally, the paper identifies several future research directions, including the measurement of emotional labor between supervisors and subordinates, the research of the relationship between positive leadership behavior and subordinates’ emotional labor, and the integrated research between supervisors’ and subordinates’ emotional labor.
Human parathyroid hormone fragment stimulates the de novo synthesis of prostaglandin endoperoxide synthase in chick calvaria
Chin-Yuh Yang,Ching-Liang Meng,Patrick Y- K. Wong
Mediators of Inflammation , 1993, DOI: 10.1155/s0962935193000213
Extraction of uricase from Candida utilis by applying polyethylene glycol (PEG)/ NH4)2SO4 aqueous two-phase system
Y Chen, Y-F Meng, J-B Tang, T-Y Sun, F-X Sun, S-J Liang
African Journal of Biotechnology , 2010,
Abstract: The purification of uricase from Candida utilis was performed by applying aqueous two-phase system (ATPS). Based on polyethylene glycols (PEG)/(NH4)2SO4 ATPSs, purification fold and recovery rate were demonstrated to influence the system parameters, such as PEG molecular mass, PEG concentration, ammonium sulfate [(NH4)2SO4] concentration, inorganic concentration, pH and additional amount of crude enzyme. The ATPS formed by 25% (w/w) PEG2000, 9% (w/w) (NH4)2SO4, 2% (w/w) NaCl, pH 7.5 and addition of 5% (w/w) crude enzyme showed the best separation capability. These conditions led to the 93% (w/w) recovery of uricase with 10-fold purification.
$β$-decay half-lives of neutron-rich nuclei and matter flow in the $r$-process
Z. M. Niu,Y. F. Niu,H. Z. Liang,W. H. Long,T. Nik?i?,D. Vretenar,J. Meng
Physics , 2012, DOI: 10.1016/j.physletb.2013.04.048
Abstract: The $\beta$-decay half-lives of neutron-rich nuclei with $20 \leqslant Z \leqslant 50$ are systematically investigated using the newly developed fully self-consistent proton-neutron quasiparticle random phase approximation (QRPA), based on the spherical relativistic Hartree-Fock-Bogoliubov (RHFB) framework. Available data are reproduced by including an isospin-dependent proton-neutron pairing interaction in the isoscalar channel of the RHFB+QRPA model. With the calculated $\beta$-decay half-lives of neutron-rich nuclei a remarkable speeding up of $r$-matter flow is predicted. This leads to enhanced $r$-process abundances of elements with $A \gtrsim 140$, an important result for the understanding of the origin of heavy elements in the universe.
Optimization Model of Cold-Chain Logistics Network for Fresh Agricultural Products —Taking Guangdong Province as an Example  [PDF]
Kaihao Liang, Wenfeng Zhang, Meng Zhang
Journal of Applied Mathematics and Physics (JAMP) , 2019, DOI: 10.4236/jamp.2019.73034
Abstract: Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of cold-chain logistics network and tackles it with genetic algorithms. This optimal model takes running total cost of logistics network as the objective, and embeds a nonlinear mixed integer programming including two assignment issues. The model determines optimal layout and logistics management for pre-cooling stations and logistics center for fresh agricultural products. Our main contribution is to consider construction cost and operation cost of cold chain logistics simultaneously. Case study illustrates the effectiveness of the model.
Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus
Meng Hu,Hualou Liang
Applied Computational Intelligence and Soft Computing , 2012, DOI: 10.1155/2012/525396
Abstract: Entropy, as a complexity measure, is a fundamental concept for time series analysis. Among many methods, sample entropy (SampEn) has emerged as a robust, powerful measure for quantifying complexity of time series due to its insensitivity to data length and its immunity to noise. Despite its popular use, SampEn is based on the standardized data where the variance is routinely discarded, which may nonetheless provide additional information for discriminant analysis. Here we designed a simple, yet efficient, complexity measure, namely variance entropy (VarEn), to integrate SampEn with variance to achieve effective discriminant analysis. We applied VarEn to analyze local field potential (LFP) collected from visual cortex of macaque monkey while performing a generalized flash suppression task, in which a visual stimulus was dissociated from perceptual experience, to study neural complexity of perceptual awareness. We evaluated the performance of VarEn in comparison with SampEn on LFP, at both single and multiple scales, in discriminating different perceptual conditions. Our results showed that perceptual visibility could be differentiated by VarEn, with significantly better discriminative performance than SampEn. Our findings demonstrate that VarEn is a sensitive measure of perceptual visibility, and thus can be used to probe perceptual awareness of a stimulus. 1. Introduction Over the past decades, entropy [1] has been widely used for analysis of dynamic systems. Among many measures, sample entropy (SampEn) is thought of as an effective, robust method due to its insensitivity to data length and its immunity to noise [2]. Until now, SampEn has been successfully applied for discriminant analysis of cardiovascular data [3], electroencephalogram data [4], and many others [5]. In addition, SampEn has been used in multiscale analysis for computing entropy over multiple time scales inherent in time series. For example, multiscale entropy [6] and adaptive multiscale entropy (AME) [7] both use SampEn to estimate entropy over multiple scales of time series. Despite its popularity, it is not well recognized that there is an inherit drawback of SampEn used for discriminant analysis, that is, the calculation of SampEn is routinely based on the normalized data where the variance of data that may provide additional information for discrimination is discarded [8]. The normalization is essentially to rescale the data, which is appropriate if the analysis is driven by the search for order in the dynamics, but is otherwise inappropriate for discriminant analysis of two data
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