Ying Xu¹, Ping Guo², Wenxia Zhou^1,*

International Journal of Mental Health Promotion, Vol.21, No.1, pp. 31-44, 2019, DOI:10.32604/IJMHP.2019.010742

Abstract Work engagement is a crucial positive psychological construct related to mental health. However, current self-directed and boundaryless career trend brings unprecedented challenges for organizations to foster employee engagement using traditional means. From an integrative perspective of the engagement theory and the career boundaryless theory, we built a model to test the moderating effect of person-vocation fit and trust in supervisor on the relationship between future work self and work engagement. After conducting a two-wave study with a sample of 231 employees, we found that future work-self was positively related to work engagement; and both person-vocation More >

Guanglei Zhang¹, Silu Chen^2,*, Youqing Fan³, Yue Dong¹

International Journal of Mental Health Promotion, Vol.21, No.1, pp. 13-29, 2019, DOI:10.32604/IJMHP.2019.010730

Abstract This paper attempts to unlock how and when leaders’ loneliness influences their voice-taking behavior in the workplace by integrating the regulatory loop model of loneliness and the affect theory of social exchange. Through collecting a daily diary study of 87 paired leader-follower samples from two electronics industry companies based in Guangzhou, China, this study finds that (1) leaders’ loneliness has a significant negative impact on social self-efficacy and voice-taking behavior; (2) leaders’ social self-efficacy mediates the relationship between their loneliness and voice-taking behavior; (3) performance pressure moderates the relationship between leaders’ loneliness and voice-taking behavior; More >

Lu Xin¹, Mengyi Li^2,*, Fangcheng Tang¹, Wenxia Zhou², Wenxi Wang³

International Journal of Mental Health Promotion, Vol.21, No.1, pp. 1-11, 2019, DOI:10.32604/IJMHP.2019.010808

Abstract Based on social cognitive career theory, this research examined a chained mediation model for the relations between proactive personality, career success criteria clarity, career decision-making self-efficacy and affective wellbeing. A two-wave survey study was conducted among Chinese graduating students (N = 235). The results showed that proactive personality (measured at time 1), career success criteria clarity (measured at time 1), and career decisionmaking self-efficacy (measured at time 2) positively related to affective well-being respectively. In addition, the results further revealed that proactive personality was positively related to career success criteria clarity, which further predicted affective well-being More >

Mengling Zou¹, Zhengxuan Liu², Xianyi Chen^{3, *}

Journal on Big Data, Vol.1, No.3, pp. 151-158, 2019, DOI:10.32604/jbd.2019.09057

Abstract Image encryption (IE) is a very useful and popular technology to protect the privacy of users. Most algorithms usually encrypt the original image into an image similar to texture or noise, but texture and noise are an obvious visual indication that the image has been encrypted, which is more likely to cause the attacks of enemy. To overcome this shortcoming, many image encryption systems, which convert the original image into a carrier image with visual significance have been proposed. However, the generated cryptographic image still has texture features. In line with the idea of improving More >

Danping Dong^{1, *}, Yue Wu¹, Lizhi Xiong¹, Zhihua Xia¹

Journal on Big Data, Vol.1, No.3, pp. 145-150, 2019, DOI:10.32604/jbd.2019.08706

Abstract This paper proposes a strategy for machine learning in the ciphertext domain. The data to be trained in the linear regression equation is encrypted by SHE homomorphic encryption, and then trained in the ciphertext domain. At the same time, it is guaranteed that the error of the training results between the ciphertext domain and the plaintext domain is in a controllable range. After the training, the ciphertext can be decrypted and restored to the original plaintext training data. More >

Yue Cai¹, Zeying Song¹, Guang Sun^{1, *}, Jing Wang¹, Ziyi Guo¹, Yi Zuo¹, Xiaoping Fan¹, Jianjun Zhang², Lin Lang¹

Journal on Big Data, Vol.1, No.3, pp. 135-144, 2019, DOI:10.32604/jbd.2019.08274

Abstract Big data technology is changing with each passing day, generating massive amounts of data every day. These data have large capacity, many types, fast growth, and valuable features. The same is true for the stock investment market. The growth of the amount of stock data generated every day is difficult to predict. The price trend in the stock market is uncertain, and the valuable information hidden in the stock data is difficult to detect. For example, the price trend of stocks, profit trends, how to make a reasonable speculation on the price trend of stocks More >

Wangdong Jiang¹, Taian Yang^{1, *}, Guang Sun^{1, 3}, Yucai Li¹, Yixuan Tang², Hongzhang Lv¹, Wenqian Xiang¹

Journal on Big Data, Vol.1, No.3, pp. 117-134, 2019, DOI:10.32604/jbd.2019.08454

Abstract In order to study deeply the prominent problems faced by China’s clean government work, and put forward effective coping strategies, this article analyzes the network information of anti-corruption related news events, which is based on big data technology. In this study, we take the news report from the website of the Communist Party of China (CPC) Central Commission for Discipline Inspection (CCDI) as the source of data. Firstly, the obtained text data is converted to word segmentation and stop words under preprocessing, and then the pre-processed data is improved by vectorization and text clustering, finally,… More >

Yuan Chen¹, Liangtao Duan¹, Weize Sun^{2, *}, Jingxin Xu³

Journal on Big Data, Vol.1, No.3, pp. 107-116, 2019, DOI:10.32604/jbd.2019.07294

Abstract In this work, we address the frequency estimation problem of a complex singletone embedded in the heavy-tailed noise. With the use of the linear prediction (LP) property and l₁-norm minimization, a robust frequency estimator is developed. Since the proposed method employs the weighted l₁-norm on the LP errors, it can be regarded as an extension of the l_p-generalized weighted linear predictor. Computer simulations are conducted in the environment of α-stable noise, indicating the superiority of the proposed algorithm, in terms of its robust to outliers and nearly optimal estimation performance. More >

Tim Chen¹, Wray Marriott², Ann Nicholson³, Tim Chen⁴, Mars Kmieckowiak⁵, Jcy Chen^6,*

Sound & Vibration, Vol.53, No.6, pp. 309-309, 2019, DOI:10.32604/sv.2019.00308

Abstract This article has no abstract. More >

Seyed Salman Hosseini¹, Javad Marzbanrad^2,*

Sound & Vibration, Vol.53, No.6, pp. 297-308, 2019, DOI:10.32604/sv.2019.07434

Abstract In this paper; the dynamic characteristics of a semi-active magnetorheological fluid (MRF) engine mount are studied. To do so, the performance of the MRF engine mount is experimentally examined in higher frequencies (50~170 Hz) and the various amplitudes (0.01 ~ 0.2 mm). In such an examination, an MRF engine mount along with its magnetically biased is fabricated and successfully measured. In addition, the natural frequencies of the system are obtained by standard hammer modal test. For modelling the behavior of the system, a mass-spring-damper model with tuned PID coefficients based on Pessen integral of absolute More >