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University Students’ Employability Skills Model Based on Chinese Employer Perspective  [PDF]
Xiaobing Zhang, Xin Zou
Journal of Human Resource and Sustainability Studies (JHRSS) , 2013, DOI: 10.4236/jhrss.2013.13005
Abstract: The employability and the employability skills of the university students in China are now being the most important capacity which the employers pay the highest attention to. The aim of this research was to identify the university students’ employability skills and college students’ employability skills framework to reinforce the employability research and the field of human resource development (HRD) in the Chinese context. From the perspective of the employers, using the methods of interview and questionnaire, this paper studied the contents of the students’ employability skills which the Chinese employers recognized and got the model of university students’ employability skills. The results showed that college student’s personal characteristics perceived by the service industry employers and the manufacture industry employers major focused on honesty, independence, self-confidence, adaptability, and enthusiasm. Basic knowledge which perceived by the service industry employers and the manufacture industry employers centralized political knowledge, and economic knowledge. Interpersonal relationship, teamwork, strain capacity, problem handling capacity, leadership, information technology software applications, and presentation skills were the abilities at present and in the next five years that both industry employers thought very important skills and abilities. The conclusions can be got that the employability skills perceived by Chinese employers whether in service industry or in manufacture industry include personal qualities, basic knowledge, skills and abilities. The employability skills framework perceived by employers at present in service industry and in manufacture industry is slightly different. On the contrary, it is surprising that the employability skills at present and in the next 5 years perceived by service industry employers or manufacture industry employers have a significant difference alternatively. Suggestions on managerial implications and future research directions are put forward respectively.
High sensitive and rapid responsive n-type Si: Au sensor for monitoring breath rate  [PDF]
Xuelan Hu, Jiachang Liang, Xing Li, Yue Chen, Chao Zou, Sheng Liu, Xin Chen
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.210130
Abstract: 125 μm-breath sensor with high sensitivity and rapid response was prepared by using n-type Si: Au material. Its sensitivity coefficient and time constant were 4 V.sec / L and 38 msec, respec-tively. Its working principle was based on ano- malous resistance effect, which not only increa- sed the sensitivity, but also reduced its time con-stant greatly. Its signal processing system can select the breath signals and work stably. Therefore, the small changes of breath system can be measured and, especially, patient’s breath rate can be monitored at a distance.
Improved methods for cloning and detection in the yeast two hybrid assay  [PDF]
Shenshen Zou, Qianyu Wang, Xin Kang, Yilie Liao, Yong Chen, Yutao Liu, Gaoyi Min, Yongheng Liang
Advances in Bioscience and Biotechnology (ABB) , 2012, DOI: 10.4236/abb.2012.37114
Abstract: The yeast two-hybrid (Y2H) mating assay is a powerful method for detecting protein-protein interactions. Firstly, the gene of interest is cloned into specific Y2H vectors. Although multiple innovations in cloning methods were made in the past two decades, the conventional cloning method of restriction-enzyme (RE) digestion followed by ligation is still widely used. Unfortunately, many researchers, especially new-comers, often encounter difficulties in cloning a gene into a desired vector. Secondly, interaction between two proteins is commonly detected by growth of the diploids in specific media. This step takes about two weeks. Here, we describe improved cloning and detection procedures for the Y2H assay that accelerate the research progress. The changes in procedures involve running an agarose gel after the doubly digested vector and insert are ligated in the cloning step to determine the efficiency of RE digestion and ligation, and performing an additional replica-plating on plates for earlier assessment of interaction in the detection step. We show an example of Y2H interaction between Trs23 and Trs120 (respective subunits of TRAPP I and TRAPP II), as a proof of concept. By following the improved methods described here, the chances of successful cloning increased and the time for the whole Y2H experimental process is significantly shorter.
Two Dimension Mixed Conjunctions and Their Arithmetic
ZOU Xin-cheng,LIU Kun
Journal of Chongqing Normal University , 2009,
Abstract: In order to research the two different types of random variants, and their arithmetic, this article raises the concept of two-dimensional mixed conjunctions, two-dimensional mixed single conjunctions, and two basic models of two-dimensional mixed single conjunctions. On the basis of determined research target, the author builds random variants of two- dimensional mixed conjunction, provides a precise definition on the density of two-dimensional mix, and works out the arithmetic and theorem of solving the distribution of the conjunction variants themselves. For the conjunction model Y(X),the marginal density of Y , and for the conjunction model X(Y),the marginal distribution the row of X is . The author then moves on to utilize repeatable formulas and works out simplified arithmetic for mathematic expectancy of solving the conjunction variants’ distributions. The article exemplifies the use of various kinds of arithmetric and finally summarizes the application of two dimensional mixed conjunctions by demonstrating an application example.
All-optical pulse compression of broadband microwave signal based on stimulated Brillouin scattering
Xin Long,Weiwen Zou,Jianping Chen
Physics , 2015,
Abstract: Pulse compression processing based on stimulated Brillouin scattering (SBS) in an optical fiber is theoretically and experimentally demonstrated. Broadband microwave signal is electro-optically modulated onto the pump lightwave that is launched into one end of the fiber. Acoustic wave in the fiber inherits the amplitude and phase information of the pump lightwave and thus the coupling between the acoustic wave and pump lightwave leads to the auto-correlated process of the pump lightwave as well as the modulated microwave signal. Derivation of the SBS coupling equations shows that the short-pulse probe lightwave amplified by the pump lightwave possesses the nature of auto-correlation formula. All-optical pulse compression of the broadband microwave signal is implemented after a subtraction between the detected probe pulse with and without SBS. A proof-of-concept experiment is carried out. The pulse compression of a linear frequency-modulated microwave signal with 1 GHz sweep range at the carrier frequency of 4.3 GHz is successfully realized, which well matches the theoretical analysis.
Coordinate-independent sparse sufficient dimension reduction and variable selection
Xin Chen,Changliang Zou,R. Dennis Cook
Statistics , 2012, DOI: 10.1214/10-AOS826
Abstract: Sufficient dimension reduction (SDR) in regression, which reduces the dimension by replacing original predictors with a minimal set of their linear combinations without loss of information, is very helpful when the number of predictors is large. The standard SDR methods suffer because the estimated linear combinations usually consist of all original predictors, making it difficult to interpret. In this paper, we propose a unified method - coordinate-independent sparse estimation (CISE) - that can simultaneously achieve sparse sufficient dimension reduction and screen out irrelevant and redundant variables efficiently. CISE is subspace oriented in the sense that it incorporates a coordinate-independent penalty term with a broad series of model-based and model-free SDR approaches. This results in a Grassmann manifold optimization problem and a fast algorithm is suggested. Under mild conditions, based on manifold theories and techniques, it can be shown that CISE would perform asymptotically as well as if the true irrelevant predictors were known, which is referred to as the oracle property. Simulation studies and a real-data example demonstrate the effectiveness and efficiency of the proposed approach.
A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
Wenping Zou,Yunlong Zhu,Hanning Chen,Xin Sui
Discrete Dynamics in Nature and Society , 2010, DOI: 10.1155/2010/459796
Abstract: Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony (CABC), which significantly improves the original ABC in solving complex optimization problems. Clustering is a popular data analysis and data mining technique; therefore, the CABC could be used for solving clustering problems. In this work, first the CABC algorithm is used for optimizing six widely used benchmark functions and the comparative results produced by ABC, Particle Swarm Optimization (PSO), and its cooperative version (CPSO) are studied. Second, the CABC algorithm is used for data clustering on several benchmark data sets. The performance of CABC algorithm is compared with PSO, CPSO, and ABC algorithms on clustering problems. The simulation results show that the proposed CABC outperforms the other three algorithms in terms of accuracy, robustness, and convergence speed. 1. Introduction Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. In recently years, many SI algorithms have been proposed, such as Ant Colony Optimization (ACO) [1], Particle Swarm Algorithm (PSO) [2], and Bacterial Foraging Optimization (BFO) [3]. Artificial Bee Colony (ABC) algorithm is a new swarm intelligent algorithm that was first introduced by Karaboga in Erciyes University of Turkey in 2005 [4], and the performance of ABC is analyzed in 2007 [5]. The ABC algorithm imitates the behaviors of real bees in finding food sources and sharing the information with other bees. Since ABC algorithm is simple in concept, easy to implement, and has fewer control parameters, it has been widely used in many fields. Until now, ABC has been applied successfully to some engineering problems, such as constrained optimization problems [6], neural networks [7], and clustering [8]. However, like other stochastic optimization algorithms, such as PSO and Genetic Algorithm (GA), as the dimensionality of the search space increases, ABC algorithm possesses a poor convergence behavior. Cooperative search is one of the solutions to this problem, which has been extensively studied in the past decade. Potter proposed cooperative coevolutionary genetic algorithm (CCGA) [9], Van den Bergh and Engelbrecht proposed cooperative particle swarm optimizer, called CPSO [10], and Chen et al. proposed cooperative bacterial foraging optimization [11]. This paper applies Potter’s cooperative search technique to the
Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking
Peter Jan ovi ,Xin Zou,Münevver K küer
Journal of Electrical and Computer Engineering , 2010, DOI: 10.1155/2010/450487
Abstract: This paper presents an algorithm for the estimation of the direction of arrival (DOA) in underdetermined situations, that is, there is more sources than sensors. The algorithm performs the estimation in an iterative manner, each iteration consists of two-steps: first estimation of the DOA of a dominant source via the Independent Component Analysis and then removal of the detected source from the mixture via time-frequency masking. Experiments, performed using speech signals mixed in real environment when only two microphones are used but three and four sources are present, demonstrate that the proposed algorithm can estimate the DOAs more accurately than two previously used underdetermined DOA algorithms.
Computational Study of Hippocampal-Septal Theta Rhythm Changes Due to Beta-Amyloid-Altered Ionic Channels
Xin Zou, Damien Coyle, KongFatt Wong-Lin, Liam Maguire
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0021579
Abstract: Electroencephagraphy (EEG) of many dementia patients has been characterized by an increase in low frequency field potential oscillations. One of the characteristics of early stage Alzheimer’s disease (AD) is an increase in theta band power (4–7 Hz). However, the mechanism(s) underlying the changes in theta oscillations are still unclear. To address this issue, we investigate the theta band power changes associated with β-Amyloid (Aβ) peptide (one of the main markers of AD) using a computational model, and by mediating the toxicity of hippocampal pyramidal neurons. We use an established biophysical hippocampal CA1-medial septum network model to evaluate four ionic channels in pyramidal neurons, which were demonstrated to be affected by Aβ. They are the L-type Ca2+ channel, delayed rectifying K+ channel, A-type fast-inactivating K+ channel and large-conductance Ca2+-activated K+ channel. Our simulation results demonstrate that only the Aβ inhibited A-type fast-inactivating K+ channel can induce an increase in hippocampo-septal theta band power, while the other channels do not affect theta rhythm. We further deduce that this increased theta band power is due to enhanced synchrony of the pyramidal neurons. Our research may elucidate potential biomarkers and therapeutics for AD. Further investigation will be helpful for better understanding of AD-induced theta rhythm abnormalities and associated cognitive deficits.
Effects of cyclosporin-a on rat skeletal biomechanical properties
Yixin Chen, Xin Zheng, Rui Zou, Junfei Wang
BMC Musculoskeletal Disorders , 2011, DOI: 10.1186/1471-2474-12-240
Abstract: Fifty-six male 3-month-old Wistar rats were divided into five groups. Eight rats were randomly chosen as the basal group, while the others were randomly distributed into four groups of 12 animals each. One group was used as controls and received daily subcutaneous injection of 1 ml of saline solution; another three experimental groups were injected subcutaneously with CsA in a daily dose of 1.5, 7.5, and 15 mg/kg body weight respectively for 60 days. The bone biomechanical proprieties, the bone mineral density, as well as the trabecular bone architecture were measured at different anatomic sites, i.e. the lumbar vertebra, the middle femur shaft, and the proximal femur.CsA therapy at 7.5 and 1.5 mg/kg can significantly reduce the ultimate force, the ultimate stress and the energy absorption per unit of bone volume of the lumbar vertebra, with no effect on the middle femur. CsA therapy at 7.5 mg/kg can significantly reduce the ultimate force, the ultimate stress and the Young's modulus of the femoral neck, but not CsA at 1.5 mg/kg. Furthermore, CsA therapy at 7.5 and 1.5 mg/kg can significantly reduce the bone mineral density of the lumber vertebra and the proximal femur, but have no effect on the middle femur. CsA therapy at 7.5 and 1.5 mg/kg can also significantly reduce the bone volume fraction of the proximal tibia and the lumber vertebra, but has no effect on the cortical thickness of the middle femoral shaft. In the 15 mg/kg CsA group only one rat survived, and the kidney and liver histology of the survived rat showed extensive tissue necrosis.Long-term use of CsA can weaken the biomechanical properties and thus increase the fracture rate of the lumbar vertebra and the proximal femur. However, CsA therapy has less effect on the middle femur shaft. The effects of CsA on skeleton are site-specific.Cyclosporin A (CsA) has been widely used clinically to prevent organ rejection in post-transplantation and to ameliorate the autoimmune disorders. However, since the pat
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