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Search Results: 1 - 10 of 82994 matches for " YANG Hu "
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Exploration of How Female Body Image Is Presented and Interpreted on Instagram  [PDF]
Yang Hu
Advances in Journalism and Communication (AJC) , 2018, DOI: 10.4236/ajc.2018.64009
Abstract: The aim of the research was to explore the ways that female body image was presented and interpreted on Instagram. Specifically, it aimed to identify how women disseminate their body image on Instagram, examine how viewers respond to women’s body image disseminated on Instagram and determine how the women’s body image presentation on Instagram influences the viewers’ self-perceptions and behavior. To achieve the goal, content analysis was used. The data set consisted of 140 photographs that were collected from hashtags. It was found that body images presented in Instagram highlighted sexuality and attractiveness by emphasizing slim body, long hair, with fewer clothing, followed by photographs communicating business purposes and communicating the ideal body, but only a few photos challenged the majority by creating totally different images, such as women’s lifting heavy weights or doing something adventure and wearing a bikini at a larger size. As for the viewers’ responses, it was found that most viewers positively respond to body image photographs in Instagram, appreciating wonderful and ideal body image and admiring the transformation. In addition, it was found that many comments show that the viewers are dissatisfied with themselves after comparing their body images with ideal body images. This further suggested self-objectification. As for influence, it was found that the women’s body images communicated on Instagram influence the viewers significantly in the following aspects: 1) arousing consciousness and inspiration so as to encourage them to make changes; 2) triggering self-objectification; 3) inspiring use of a new perspective to perceive and expect the body image. The research, nevertheless, was limited in sampling which reduced generalizability of findings.
Study of the Instant Incentive Mechanism for Zero-Time Enterprise  [PDF]
Yang Hu, Xinrong Yang
Journal of Service Science and Management (JSSM) , 2010, DOI: 10.4236/jssm.2010.31016
Abstract: The zero-time enterprise’s mission is response to the market and customer needs in “zero time” in order to gain more customers and competitive advantages. To realize zero-time response to market and customers, it should inspire the employees’ work enthusiasm and creativity, so that they can do their work conscientiously to ensure quick and smooth going. This paper discussed how to establish an effective instant incentive mechanism for zero-time enterprise, which is a problem of rich practical significance. Firstly, based on the briefly explanation of zero-time enterprise, it analyzed the characteristics and principles of zero-time enterprise; and then elaborated the important roles of instant incentive. Finally, it proposed the basic contents of instant incentive and the “Trine” realization mechanism.
Research on Enhancing the Effectiveness of Staff-Training in Private Enterprise  [PDF]
Yang Hu, Xinrong Yang
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.21011
Abstract: In 21st century, the enterprise competition is a comprehensive competition based on talent, capital, technology and energy. Especially, among all these elements, talent is the most important one. How to culture and set up the enterprise's own personnel training system is the foundation to improve the business competition strength. Training is one of the best approaches, while how to apply the training contents in practical work and to achieve the expected goal, has great economic and social significance to help Private Enterprise develop much better. According to the relevant theories of staff training, this paper indicated that it was meaningful to enhance the effectiveness of staff training in Private Enterprise after analyzing its current situation of staff training. Meanwhile, it also summed up the practical training procedures, particularly for the Private Enterprise, and provided some constructive suggestions to establish and to perfect the efficient training system in China.
Research on Routing Optimization of Regional Logistics Based on Gravity Model: A Case of Blue and Yellow Zones  [PDF]
Haiqing Hu, Yang Li
iBusiness (IB) , 2013, DOI: 10.4236/ib.2013.54021

The structure is the basic attribute of everything. The structure of logistics network is composed of logistics nodes and logistics routes, however the logistics cost mainly happens on the function the logistics route undertakes. So logistics routing optimization is the key to reduce logistics cost. As logistics is the hygiene factor of regional economic development, this article studied on logistics routing optimization by applying the demand of the regional economic development as a starting point, using the spatial interaction theory, building a method of the regional logistics link optimization based on the gravity model, and taking blue and yellow zones as the background to illustrate the rationality and feasibility of this method.

Eigenvalue Condition and model selection consistency of lasso
Yuehan Yang,Hu Yang
Statistics , 2015,
Abstract: Lasso is a popular method for sparse linear regression, especially for problems in which $p > n$. But when $p \gg n$, existing results from literature about the model selection consistency of lasso always require special and strong conditions, including the information from unknown true coefficients. An important question is: If the lasso solution can select the true variables without such strict condition? In this paper, we investigate a new train of thought to lead the model selection consistency of lasso. One important but more standard and much weaker condition, Eigenvalue Condition, is proposed. We can prove that the probability of lasso selecting wrong variables can decays at an exponential rate in ultra-high dimensional settings without other restrains except Eigenvalue Condition. Since penalized least squares have similar framework of solution. This technical tool can be extended to other methods which have similar structure. In the different dimensional settings, we show the different performance of lasso under different assumptions of noise terms. Results from simulations are carried out to demonstrate our results.
Adaptive elastic net and Separate Selection from Least Squares for ultra-high dimensional regression models
Yuehan Yang,Hu Yang
Statistics , 2014,
Abstract: This paper studies the asymptotic properties of the adaptive elastic net in ultra-high dimensional sparse linear regression models and proposes a new method called SSLS (Separate Selection from Least Squares) to improve prediction accuracy. Besides, we prove that SSLS has the superior performance both in the theoretical part and empirical part. In this paper, we prove that the probability of adaptive elastic net selecting wrong variables can decays at an exponential rate with very few conditions. Irrepresentable Condition or similar constraint isn't necessary in our proof. We derive accurate bounds of bias and mean squared error (MSE) which both depend on the choice of parameters, and also show that there exists a bias of asymptotic normality of the adaptive elastic net. Furthermore, simulations and empirical part both show that the prediction accuracy of the penalized least squares requires more improvement. Therefore, we propose SSLS to improve the prediction. It selects variable first, reducing high dimension to low dimension by using the adaptive elastic net in this paper. In the second step, the coefficients are constructed based on the OLS estimation. We show that the bias of SSLS can decays at an exponential rate. Also, MSE decays to zero. Finally, we prove that the variable selection consistency of SSLS implies the asymptotic normality of SSLS. Simulations given in this paper illustrate the performance of the SSLS, adaptive elastic net and other penalized least squares. The index tracking problem in stock market is studied in the empirical part with other methods.
AHP and CA Based Evaluation of Website Information Service Quality: An Empirical Study on High-Tech Industry Information Center Web Portals  [PDF]
Changping HU, Yang ZHAO, Mingjing GUO
Journal of Service Science and Management (JSSM) , 2009, DOI: 10.4236/jssm.2009.23020
Abstract: Web portal is a useful way for high-tech information center providing information services for high-tech enterprises. The importance of evaluating the information service quality of the web portal has been recognized by both information service researchers and practitioners. By applying for an analytic hierarchy process (AHP) approach, a hierarchical structure evaluation criteria model has been constructed, and the global priority weight of each criterion in the model has also been determined in this study. According to the model, two different methods—comprehensive score method and correspondence analysis (CA) have been used to analyze and evaluate the information service quality of ten primary information center web portals in China hightech industry from different aspects. The findings of this study pro-vide a useful instrument for researchers who wish to measure the information service quality of web portals, as well as for hightech information center managers who want to enhance their web portals service performance.
The impact of frequency aliasing on spectral method of measuring T wave alternans  [PDF]
Di-Hu Chen, Sheng Yang
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.22019
Abstract: In this paper we investigate frequency aliasing in spectral method of measuring T wave alter-nans, which may lead a high false positive rate. Microvolt T wave alternans(TWA) has been evaluated as a means of predicting occurrence of ventricular tachyarrhythmia events and its association with the genesis of ventricular ar-rhythmias has been demonstrated. Nowadays, spectral method is one of the most widely used procedures for measurement of microvolt TWA. In our study, based on the sampling theory, the alternans frequency 0.5 cycles/beat, at which the power of the spectrum is used to calculated the Valt and K score (these two parameters indicate the TWA), is equal to the nyquist frequency. Thus this generates frequency aliasing which will make the power at the alternans frequency (P0.5) be two times of the real magnitude of the original spectrum amplitude. With the assump-tion that the noise spectrum follows the normal distribution, in spectral method of measuring T wave alternans, the measuring standard K score>3 to consider the T wave alternans sig-nificant is only with a p<0.133. By change the standard to K score>6 can solve this problem and make the p value to p<0.0027.
Optimum Setting Strategy for WTGS by Using an Adaptive Neuro-Fuzzy Inference System  [PDF]
Yang Hu, Jizhen Liu, Zhongwei Lin
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B078
Abstract: With the popularization of wind energy, the further reduction of power generation cost became the critical problem. As to improve the efficiency of control for variable speed Wind Turbine Generation System (WTGS), the data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to establish a sensorless wind speed estimator. Moreover, based on the Supervisory Control and Data Acquisition (SCADA) System, the optimum setting strategy for the maximum energy capture was proposed for the practical operation process. Finally, the simulation was executed which suggested the effectiveness of the approaches.
A Game Theoretic Approach for Analyzing the System of Incentives and Restraints Present in Chinese Financial Systems  [PDF]
Lin Hu, Fan Yang, Zijun Sha
Theoretical Economics Letters (TEL) , 2014, DOI: 10.4236/tel.2014.47066

Currently, the most important issue with respect to financial institutions is how to motivate staff without providing perverse incentives. For instance, with the implementation of a proper incentive system, staff will be motivated via their self-interest to create financial innovations to better price and hedge risk. However, this system must also be designed with checks and balances in mind because it is also very easy to institute a system in which perverse incentives drive individual behavior. In an effort to modernize the Chinese financial system, it is important to understand both the underlying mechanism by which people respond to incentives to better design compensation schemes that maximize innovation. Utilizing game theory, it is possible to analyze the interplay between these two drivers of human action. From this analysis it becomes possible to design better ways of compensating staff to curb undesirable behavior by those in the financial industry while still promoting innovation within the field.

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