Results for 'Liu Zi-Jiang'
983 found
Order:
1 filter applied
- The fine structure levels and spin-singlet contributions to zero-field-splitting parameters of Cr2+ion in CdGa2S4.Tan Xiao-Ming,Kuang Xiao-Yu,Zhou Kang-Wei,Liu Zi-Jiang &Qu Yu-Qiang -2010 -Philosophical Magazine 90 (10):1289-1295.
- Inflammation: The Common Pathway of Stress-Related Diseases.Yun-Zi Liu,Yun-Xia Wang &Chun-LeiJiang -2017 -Frontiers in Human Neuroscience 11.
- Jun zi ren ge liujiang.Zhongjian Mou -2021 - Xianggang: Zhonghua shu ju.
- Diagnostic Classification Models for Ordinal Item Responses.Ren Liu &ZhehanJiang -2018 -Frontiers in Psychology 9:419018.The purpose of this study is to develop and evaluate two diagnostic classification models (DCMs) for scoring ordinal item data. We first applied the proposed models to an operational dataset and compared their performance to an epitome of current polytomous DCMs in which the ordered data structure is ignored. Findings suggest that the much more parsimonious models that we proposed performed similarly to the current polytomous DCMs and offered useful item-level information in addition to option-level information. We then performed a (...) small simulation study using the applied study condition and demonstrated that the proposed models can provide unbiased parameter estimates and correctly classify individuals. In practice, the proposed models can accommodate much smaller sample sizes than current polytomous DCMs and thus prove useful in many small-scale testing scenarios. (shrink)
- The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster.Xia-an Bi,Yingchao Liu,QinJiang,Qing Shu,Qi Sun &Jianhua Dai -2018 -Frontiers in Human Neuroscience 12.
- Short-term efficacy of music therapy combined with α binaural beat therapy in disorders of consciousness.Zi-Bo Liu,Yan-Song Liu,Long Zhao,Man-Yu Li,Chun-Hui Liu,Chun-Xia Zhang &Hong-Ling Li -2022 -Frontiers in Psychology 13.ObjectiveTo investigate the short-term effect of music therapy combined with binaural frequency difference therapy on patients with consciousness disorder.Materials and methodsNinety patients with definite diagnosis of disorders of consciousness were selected. These patients were randomly divided into control group, experiment 1 group and experiment 2 group, with 30 patients in each group. The control group was treated with routine clinical treatment and rehabilitation. In experiment 1 group, music therapy was added to the control group. In experimental group 2, music therapy (...) combined with binaural α frequency difference therapy was added to the control group. All patients were assessed before and after 30 treatments. The assessment items included Glasgow Coma Scale, Coma Recovery Scale revised, electroencephalogram, upper somatosensory evoked potential, and brainstem auditory evoked potential.ResultsBefore treatment, there were no significant differences in GCS score, CRS-R score, USEP, BAEP, and EEG scores among the three groups. After 30 times of treatment, GCS score, CRS-R score, USEP, BAEP, and EEG scores in 3 groups were significantly higher than those before treatment. And the consciousness rate of experimental group 2 was better than experimental group 1, experimental group 1 was better than the control group and the difference was statistically significant.ConclusionMusic therapy combined with binaural α frequency difference therapy is more effective in stimulating DOC patients. (shrink)
- Who Benefits From Being an Only Child? A Study of Parent–Child Relationship Among Chinese Junior High School Students.Yixiao Liu &QuanbaoJiang -2021 -Frontiers in Psychology 11.After more than three decades of implementation, China’s one-child policy has generated a large number of only children. Although extensive research has documented the developmental outcomes of being an only child, research on the parent–child relational quality of the only child is somewhat limited. Using China Education Panel Survey (2014), this study examined whether the only child status was associated with parent–child relationships among Chinese junior high school students. It further explored whether children’s gender moderated the association between the only (...) child status and parent–child relationships. Two-level ordered logit models suggested that only children were more likely to report a close relationship with their mothers and fathers compared to children from multiple-child families (including two-child families). Taking birth order into consideration, we found that, only children were more likely to have close parent–child relationships than firstborns, whereas no significant differences were found between only children and lastborns. Interaction analyses further suggested that the only child advantages were gender-specific: the positive effects of the only child status were stronger for daughters than for sons, that is, daughters benefited more from being only children. Our findings highlight the importance of considering children’s gender and birth order in exploring the only child effects in the Chinese context. Additional analyses about sibling-gender composition indicated female children were more likely to be disadvantaged with the presence of younger brothers, whereas male children benefited more from having older sisters. This reveals that the son preference culture is still deep-rooted in the Chinese multiple-child families. (shrink)
- Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy.Heng Liu,HaoxiangJiang,Wenchuan Bi,Bingsheng Huang,Xianjun Li,Miaomiao Wang,Xiaoyu Wang,Huifang Zhao,Yannan Cheng,Xingxing Tao,Congcong Liu,Ting Huang,Chao Jin,Tijiang Zhang &Jian Yang -2019 -Frontiers in Human Neuroscience 13.
- Research on Design of Intelligent Background Differential Model for Training Target Monitoring.Ya Liu,FushengJiang,Yuhui Wang,Lu OuYang,Bo Gao,JinlingJiang &Bo Zhang -2021 -Complexity 2021:1-12.The detection of moving targets is to detect the change area in a sequence of images and extract the moving targets from the background image. It is the basis. Whether the moving targets can be correctly detected and segmented has a huge impact on the subsequent work. Aiming at the problem of high failure rate in the detection of sports targets under complex backgrounds, this paper proposes a research on the design of an intelligent background differential model for training target (...) monitoring. This paper proposes a background difference method based on RGB colour separation. The colour image is separated into independent RGB three-channel images, and the corresponding channels are subjected to the background difference operation to obtain the foreground image of each channel. In order to retain the difference of each channel, the information of the foreground images of the three channels is fused to obtain a complete foreground image. The feature of the edge detection is not affected by light; the foreground image is corrected. From the experimental results, the ordinary background difference method uses grey value processing, and some parts of the target with different colours but similar grey levels to the background cannot be extracted. However, the method in this paper can better solve the defect of misdetection. At the same time, compared with traditional methods, it also has a higher detection efficiency. (shrink)
- Attribute analysis and modeling of color harmony based on multi-color feature extraction in real-life scenes.Shuang Wang,Jingyu Liu,JianJiang,YujianJiang &Jing Lan -2022 -Frontiers in Psychology 13.Color harmony is the focus of many researchers in the field of art and design, and its research results have been widely used in artistic creation and design activities. With the development of signal processing and artificial intelligence technology, new ideas and methods are provided for color harmony theory and color harmony calculation. In this article, psychological experimental methods and information technology are combined to design and quantify the 16-dimensional physical features of multiple colors, including multi-color statistical features and multi-color (...) contrast features. Eighty-four subjects are invited to give a 5-level score on the degree of color harmony for 164 multi-color materials selected from the screenshots of film and television scenes. Based on the multi-color physical features and the subjective evaluation experiment, the correlation analysis is firstly carried out, which shows that the overall lightness, difference of the color tones, number of multiple colors, lightness contrast, color tone contrast, and cool/warm contrast are significantly correlated with color harmony. On the other hand, the regression prediction model and classification prediction model of color harmony are constructed based on machine learning algorithms. In terms of regression prediction model, the prediction accuracy of linear models is higher than that of nonlinear models, with 63.9% as the highest, indicating that the multi-color physical features can explain color harmony well. In terms of classification prediction model, the Random Forest has the best prediction performance, with an accuracy of 80.2%. (shrink)
- Understanding the Development of Chinese EFL Student–Teachers’ Pedagogical Content Knowledge.Shuo Li,Liyan Liu &Anne LiJiang -2021 -Frontiers in Psychology 12.Efforts to improve student–teacher education have recently focused on developing adequate Pedagogical Content Knowledge as a critical element for effective preparation. Despite many initiatives implemented in teacher education programs, however, their effectiveness in developing student–teachers’ PCK and factors affecting the PCK development are under-researched and evidenced. Drawing upon theories about and research on PCK, this study examined whether a recently updated 2-year teacher education program could develop student–teachers’ PCK effectively and explored what factors influencing the PCK development of student–teachers with (...) different developmental trajectories. Forty English-as-foreign-language student–teachers on the program were involved as participants. This study employed a longitudinal research design. Data were collected at four different stages along with the program through the content representation matrix, interviews with all the participants, and focus group interviews with four particularly sampled participants. Findings revealed that the current teacher education program successfully enhanced student–teachers’ PCK and the factors influencing different PCK developmental trajectories were varied and personalized. Implications for teacher education are also discussed. (shrink)
- Assessment of Burden Among Family Caregivers of Schizophrenia: Psychometric Testing for Short-Form Zarit Burden Interviews.Yu Yu,Zi-wei Liu,Wei Zhou,Xiao-Chuan Chen,Xing-yu Zhang,Mi Hu &Shui-Yuan Xiao -2018 -Frontiers in Psychology 9.
- The Influence of Flexible Employment on Workers’ Wellbeing: Evidence From Chinese General Social Survey.Teng Liu,Qian Liu &DaokuiJiang -2022 -Frontiers in Psychology 13.Based on the 2017 China General Social Survey data, with 5,439 observations as research objects, this paper empirically tests the impact of flexible employment on workers’ wellbeing and introduces labor income as mediator and social security as moderator to explore the mechanism of action. The empirical results show that: flexible employment has an inverted U-shaped relationship with workers’ wellbeing, which indicates that increasing employments’ flexibility will first rise and then reduce their perceived subjective wellbeing after reaching the peak; labor income (...) plays a mediating role in the relationship of flexible employment and wellbeing of workers; social security moderates the mediating effect of labor income whereas the moderating role in the relationship between flexible employment and workers’ wellbeing is not observed. Implications and future development of flexible employment are discussed. (shrink)
- Gender Differences in How Family Income and Parental Education Relate to Reading Achievement in China: The Mediating Role of Parental Expectation and Parental Involvement.Xiaolin Guo,Bo Lv,Huan Zhou,Chunhui Liu,Juan Liu,KexinJiang &Liang Luo -2018 -Frontiers in Psychology 9.
- Thermotransport in binary system: case study on Ni50Al50melt.Alexander V. Evteev,Elena V. Levchenko,Irina V. Belova,Rafal Kozubski,Zi-Kui Liu &Graeme E. Murch -2014 -Philosophical Magazine 94 (31):3574-3602.No categories
- The Dark Triad, Moral Disengagement, and Social Entrepreneurial Intention: Moderating Roles of Empathic Concern and Perspective Taking.Wenqing Wu,Yuzheng Su,Xuan Huang,Wenyi Liu &XinJiang -2020 -Frontiers in Psychology 11.
- Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning.YuMei Duan,WeiDong Zhao,Cheng Luo,XiaoJu Liu,HongJiang,YiQian Tang,Chang Liu &DeZhong Yao -2022 -Frontiers in Human Neuroscience 15.Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder, definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls. To enhance the interpretability of the machine learning model, (...) the study has processed three levels of assessments including model-level assessment, feature-level assessment, and biology-level assessment. According to these three levels assessment, the study has identified neuroimaging markers of ASD including the opercular part of bilateral inferior frontal gyrus, the orbital part of right inferior frontal gyrus, right rolandic operculum, right olfactory cortex, right gyrus rectus, right insula, left inferior parietal gyrus, bilateral supramarginal gyrus, bilateral angular gyrus, bilateral superior temporal gyrus, bilateral middle temporal gyrus, and left inferior temporal gyrus. In addition, negative correlations between the communication skill score in the Autism Diagnostic Observation Schedule and regional gray matter volume in the gyrus rectus, left middle temporal gyrus, and inferior temporal gyrus have been detected. A significant negative correlation has been found between the communication skill score in ADOS_G and the orbital part of the left inferior frontal gyrus. A negative correlation between verbal skill score and right angular gyrus and a significant negative correlation between non-verbal communication skill and right angular gyrus have been found. These findings in the study have suggested the GM alteration of ASD and correlated with the clinical severity of ASD disease symptoms. The interpretable machine learning framework gives sight to the pathophysiological mechanism of ASD but can also be extended to other diseases. (shrink)
- Performance Pressure and Employee Expediency: The Role of Moral Decoupling.Julie N. Y. Zhu,Long W. Lam,Yan Liu &NingJiang -2023 -Journal of Business Ethics 186 (2):465-478.Although performance pressure has desirable consequences, there is evidence that it can produce unintended outcomes as employees tend to engage in dysfunctional and unethical behaviors to meet performance goals. Thus, the process through which employees think and behave unethically under performance pressure deserves more research attention. This study goes beyond the stress-appraisal perspective and investigates whether and when performance pressure influences individual work mindsets and behaviors from a moral reasoning perspective. Specifically, we contend that performance pressure is related to employee (...) expediency through moral decoupling. We further hypothesize dialectical thinking and moral identity to be the boundary conditions of the proposed relationships. Analyses of data from a field study in three waves provide support for most of the hypotheses. In particular, we find that moral decoupling accounts for additional variance after we control for the stress-appraisal effect of performance pressure on employee expediency. The study offers several contributions to the literature on performance pressure and unethical behavior. (shrink)
- A network analysis of moral distress among clinical internship nursing students: A cross-sectional study.Yang Xiong,Ya-Qian Fu,Zhuo-Heng Li,Yu-Rong Tang,Zi-yu Liu,Bi-Rong Liu,Zhuo-er Huang &Qi-Feng Yi -forthcoming -Nursing Ethics.Background Moral distress is a significant challenge faced by clinical internship nursing students. Most current studies investigate the impact of external factors on nursing students’ moral distress. However, there is a lack of in-depth exploration of the interactions between various moral distress items. Research objective This study aims to construct a network structure of moral distress among clinical internship nursing students, while exploring the touchpoints of moral sensitivity and moral resilience on moral distress, to identify potential targets for moral distress (...) intervention. Research design A cross-sectional design utilized acceptable validity scales. Network analysis was conducted using R (Version 4.4.0). Regularized partial correlation was utilized to describe the associations between different nodes in the network. Central nodes were identified through centrality indices. Participants and research context The participants in this study are 372 nursing students undergoing clinical internships at a comprehensive teaching hospital in Changsha, China. Ethical considerations This study was approved by the hospital ethics committee (Review Number: Express 241098). Written informed consent was obtained from all participants. Results In the moral distress network, the connections between MD3 “I provide life-sustaining treatment per the family’s wishes” and MD4 “Despite only extending survival, I implement life-saving measures” are the strongest. MD18 “Decline in service quality due to poor team communication,” MD19 “I ignore situations lacking adequate information for informed consent,” and MD17 “I collaborate with colleagues unable to meet the patient’s treatment needs” are the central nodes of the moral distress network. In the relational network, MD19 is a critical connection point linking moral distress with moral sensitivity and moral resilience. Conclusion Future interventions for moral distress could focus on the strongly related and significant distress (MD3, MD4, MD18, MD19, MD20, and MD17) mentioned in this study, and develop scientific and targeted interventions to reduce clinical internship nursing students’ moral distress. (shrink)
- Differences in Behavioral Inhibitory Control in Response to Angry and Happy Emotions Among College Students With and Without Suicidal Ideation: An ERP Study.Lin Lin,Chenxu Wang,Juanchan Mo,Yu Liu,Ting Liu,YunpengJiang,Xuejun Bai &Xia Wu -2020 -Frontiers in Psychology 11.
- Experiencing an art education program through immersive virtual reality or iPad: Examining the mediating effects of sense of presence and extraneous cognitive load on enjoyment, attention, and retention.Qingyang Tang,Yanyun Wang,Hao Liu,Qian Liu &ShenJiang -2022 -Frontiers in Psychology 13.Sense of presence and extraneous cognitive load are the two psychological effects widely employed to explain the cognitive outcomes caused by high-immersive media. This study identified the concepts of both technological affordance and the psychological effects of VR learning. It investigated the mechanism by which immersion leads to better or worse communication in the context of art education. We operationalized the concept of immersion into two levels: a high-immersive VR system and a low-immersive tablet system. Through a between-subject experiment, we (...) found that higher immersion not only led to a greater sense of presence but also lowered extraneous cognitive load. Enjoyment and attention increased as a sense of presence rose but were not necessarily predicted by extraneous cognitive load. This study found that sense of presence was a more robust explanatory variable than ECL and that cognitive load could be lower in a high-immersive environment with content specifically designed for VR. (shrink)
- Influence of the interatomic potential on thermotransport in binary liquid alloys: case study on NiAl.Elena V. Levchenko,Alexander V. Evteev,Tanvir Ahmed,Andreas Kromik,Rafal Kozubski,Irina V. Belova,Zi-Kui Liu &Graeme E. Murch -forthcoming -Philosophical Magazine:1-21.No categories
- A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging.Sigang Yu,Enze Shi,Ruoyang Wang,Shijie Zhao,Tianming Liu,XiJiang &Shu Zhang -2022 -Frontiers in Human Neuroscience 16:944543.Naturalistic stimuli, including movie, music, and speech, have been increasingly applied in the research of neuroimaging. Relative to a resting-state or single-task state, naturalistic stimuli can evoke more intense brain activities and have been proved to possess higher test–retest reliability, suggesting greater potential to study adaptive human brain function. In the current research, naturalistic functional magnetic resonance imaging (N-fMRI) has been a powerful tool to record brain states under naturalistic stimuli, and many efforts have been devoted to study the high-level (...) semantic features from spatial or temporal representations via N-fMRI. However, integrating both spatial and temporal characteristics of brain activities for better interpreting the patterns under naturalistic stimuli is still underexplored. In this work, a novel hybrid learning framework that comprehensively investigates both the spatial (via Predictive Model) and the temporal [via convolutional neural network (CNN) model] characteristics of the brain is proposed. Specifically, to focus on certain relevant regions from the whole brain, regions of significance (ROS), which contain common spatial activation characteristics across individuals, are selected via the Predictive Model. Further, voxels of significance (VOS), whose signals contain significant temporal characteristics under naturalistic stimuli, are interpreted via one-dimensional CNN (1D-CNN) model. In this article, our proposed framework is applied onto the N-fMRI data during naturalistic classical/pop/speech audios stimuli. The promising performance is achieved via the Predictive Model to differentiate the different audio categories. Especially for distinguishing the classic and speech audios, the accuracy of classification is up to 92%. Moreover, spatial ROS and VOS are effectively obtained. Besides, temporal characteristics of the high-level semantic features are investigated on the frequency domain via convolution kernels of 1D-CNN model, and we effectively bridge the “semantic gap” between high-level semantic features of N-fMRI and low-level acoustic features of naturalistic audios in the frequency domain. Our results provide novel insights on characterizing spatiotemporal patterns of brain activities via N-fMRI and effectively explore the high-level semantic features under naturalistic stimuli, which will further benefit the understanding of the brain working mechanism and the advance of naturalistic stimuli clinical application. (shrink)
- Closed-Loop Transcutaneous Auricular Vagal Nerve Stimulation: Current Situation and Future Possibilities.Yutian Yu,Jing Ling,Lingling Yu,Pengfei Liu &MinJiang -2022 -Frontiers in Human Neuroscience 15.Closed-loop transcutaneous auricular vagal nerve stimulation was officially proposed in 2020. This work firstly reviewed two existing CL-taVNS forms: motor-activated auricular vagus nerve stimulation and respiratory-gated auricular vagal afferent nerve stimulation, and then proposed three future CL-taVNS systems: electroencephalography -gated CL-taVNS, electrocardiography -gated CL-taVNS, and subcutaneous humoral signals -gated CL-taVNS. We also highlighted the mechanisms, targets, technical issues, and patterns of CL-taVNS. By reviewing, proposing, and highlighting, this work might draw a preliminary blueprint for the development of CL-taVNS.
- A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor.Yifan Zhao,Ramon C. Laguna,Yitian Zhao,JimmyJiang Liu,Xiongxiong He,John Yianni &Ptolemaios G. Sarrigiannis -2018 -Complexity 2018:1-15.No categories
- G -LIME: Statistical learning for local interpretations of deep neural networks using global priors.Xuhong Li,Haoyi Xiong,Xingjian Li,Xiao Zhang,Ji Liu,HaiyanJiang,Zeyu Chen &Dejing Dou -2023 -Artificial Intelligence 314 (C):103823.
- Xi fang Makesi zhu yi yi shu yu mei xue li lun pi ping.ZhejunJiang &Feng Liu (eds.) -2001 - Beijing: She hui ke xue wen xian chu ban she.
- Zhongguo she hui zhu yi jing shen wen ming yan jiu.LiuJiang (ed.) -1987 - [Peking]: Xin hua shu dian Beijing fa xing suo fa xing.No categoriesExport citation
Bookmark - Si si sheng sheng.Archie Chi Chung Lee,DahuiJiang &Qihua Liu (eds.) -1987 - Jiulong: Ben Gang dai li En qi shu ye you xian gong si.
- Emergency Evacuation of Hazardous Chemical Accidents Based on Diffusion Simulation.Jiang-Hua Zhang,Hai-Yue Liu,Rui Zhu &Yang Liu -2017 -Complexity:1-16.The recent rapid development of information technology, such as sensing technology, communications technology, and database, allows us to use simulation experiments for analyzing serious accidents caused by hazardous chemicals. Due to the toxicity and diffusion of hazardous chemicals, these accidents often lead to not only severe consequences and economic losses, but also traffic jams at the same time. Emergency evacuation after hazardous chemical accidents is an effective means to reduce the loss of life and property and to smoothly resume the (...) transport network as soon as possible. This paper considers the dynamic changes of the hazardous chemicals’ concentration after their leakage and simulates the diffusion process. Based on the characteristics of emergency evacuation of hazardous chemical accidents, we build a mixed-integer programming model and design a heuristic algorithm using network optimization and diffusion simulation. We then verify the validity and feasibility of the algorithm using Jinan, China, as a computational example. In the end, we compare the results from different scenarios to explore the key factors affecting the effectiveness of the evacuation process. (shrink)No categories
- Cognitive Reappraisal in Children: Neuropsychological Evidence of Up-Regulating Positive Emotion From an ERP Study.Wen Liu,Fang Liu,Liang Chen,ZhongqingJiang &Junchen Shang -2019 -Frontiers in Psychology 10.
- Turnover Intention and Its Associated Factors Among Psychiatrists in 41 Tertiary Hospitals in China During the COVID-19 Pandemic. [REVIEW]Yating Yang,Ling Zhang,Mengdie Li,Xiaodong Wu,Lei Xia,Daphne Y. Liu,Tingfang Liu,Yuanli Liu,FengJiang,Yi-Lang Tang,Huanzhong Liu &Nadine J. Kalow -2022 -Frontiers in Psychology 13.BackgroundTurnover intention, an employee’s intention to voluntarily leave their jobs, affects workforce sustainability. However, scarce data are available about turnover intention and its associated factors among psychiatrists in China, especially during the COVID-19 pandemic. The current research was designed to address this gap.MethodsAn anonymous, nationwide online survey was disseminated to psychiatrists in 41 psychiatric hospitals in China. We collected demographic data, job-related information, and participants’ turnover intention in the next 12 months.ResultsIn total, 3,973 psychiatrists completed the survey. The sample was (...) predominantly female and married, and nearly three-fourths had children. More than one-third had a master’s or doctoral degree in addition to their medical degree. The overall level of job satisfaction was moderate. The rate of turnover intention was 22.0% and was comparable in males and females. Psychiatrists who had participated in the frontline work of COVID-19 were more likely to report an intention to leave their current job. Multiple regression analyses suggested that turnover intention was significantly associated with having insomnia, longer working hours, and more working days per week.ConclusionDuring the pandemic period, approximately one-fifth of psychiatrists in China reported turnover intention. Factors associated with turnover intention included high job-related burdens, low job satisfaction, participation in the frontline work against COVID-19, and insomnia. To improve psychiatric workforce sustainability, policymakers and hospital administrators need to be aware of this potential challenge and address the concerns of psychiatrists in China. (shrink)
- Constant fear, but lingering nostalgia: British press representations of post-colonial Hong Kong 20 years on.CongJiang &Ming Liu -2019 -Discourse and Communication 13 (6):630-646.This study conducts a corpus-assisted discourse study of the representations of post-colonial Hong Kong in The Times over the past 20 years. The primary purpose is to reveal its preferential ways of representing Hong Kong and explicate the intricate relations between language use and the historical and socio-political contexts. Through an integration of the methods and theories associated with critical discourse analysis and corpus linguistics, this study conducts both synchronic and diachronic analyses of the representations of Hong Kong from 1997 (...) to 2017. The findings suggest that The Times’ representations of Hong Kong tend to be crisis- and conflict-oriented. While evoking constant fear about the future of Hong Kong, it still suggests that it is Britain’s duty and moral obligation to protect the former British colony. The same trend can also be identified in The Times’ representations of the mass protests against the proposed extradition bill in 2019. (shrink)No categories
- A crossword solving system based on Monte Carlo tree search.Jingping Liu,Lihan Chen,SihangJiang,Chao Wang,Sheng Zhang,Jiaqing Liang,Yanghua Xiao &Rui Song -2024 -Artificial Intelligence 335 (C):104192.
- Teacher Justice and Students’ Class Identification: Belief in a Just World and Teacher–Student Relationship as Mediators.RonghuanJiang,Ru-De Liu,Yi Ding,Rui Zhen,Yan Sun &Xinchen Fu -2018 -Frontiers in Psychology 9.
- Does Scale-Free Syntactic Network Emerge in Second Language Learning?JingyangJiang,Wuzhe Yu &Haitao Liu -2019 -Frontiers in Psychology 10.
- Individual Creativity in Digital Transformation Enterprises: Knowledge and Ability, Which Is More Important?DaokuiJiang,Zhuo Chen,Teng Liu,Honghong Zhu,Su Wang &Qian Chen -2022 -Frontiers in Psychology 12.Digital technological innovation is reshaping the pattern of industrial development. Due to the shortage of digital talents and the frequent mobility of these people, the competition for talents will be very fierce for organizations to realize digital transformation. The digitization transformation of China’s service industry is far ahead of that of industry and agriculture. It is of great significance to study the organizational management and talent management of service enterprises to reduce the negative impact of insufficient talent reserve and meet (...) the needs of digital development. Based on 378 valid questionnaires from China’s service industry, this paper applied polynomial regression and a response surface model to analyze the impact of two kinds of person-environment fit on work engagement and individual creativity. The results show that: under the combination of high morality and high talent, work engagement and individual creativity are the highest; individual creativity is stronger under the condition of high morality and low talent than under low morality and high talent; and work engagement mediates the influence of morality and talent on individual creativity. The research reveals the internal mechanism by which morality and talent cooperatively promote individual creativity, which provides theoretical guidance for management practice of service firms to improve individual creativity in the process of digital transformation. (shrink)
- Effects of 15-Days −6° Head-Down Bed Rest on the Attention Bias of Threatening Stimulus.ShanJiang,Yi-Ming Qian,YuanJiang,Zi-Qin Cao,Bing-Mu Xin,Ying-Chun Wang &Bin Wu -2022 -Frontiers in Psychology 13.Previous researchers have found that head-down bed rest will affect the emotional state of individuals, and negative emotions such as anxiety are closely related to attention bias. The present study adopted the dot-probe task to evaluate the effects of 15-days of −6° HDBR on the attention bias of threatening stimulus in 17 young men, which was completed before, during, after the bed rest. In addition, self-report inventories were conducted to record emotional changes. The results showed that the participants’ negative affect (...) scores on HDBR-8 were significantly lower than the HDBR-1 in PANAS while there was no significant difference on positive affect scores and anxiety scores in SAI. And the results showed that at the Pre-HDBR, HDBT-1, HDBR-15, Post-HDBR, the response speed to threatening stimulus was faster than neutral stimulus, but no statistical significance. However, reaction time of threatening stimulus is significantly longer than neutral stimulus in the HDBR-8, indicating that HDBR may have an effect on the participants’ attention bias, and this effect is manifested as attention avoidance. (shrink)
- Evidence for dynamic attentional bias toward positive emotion-laden words: A behavioral and electrophysiological study.Jia Liu,Lin Fan,JiaxingJiang,Chi Li,Lingyun Tian,Xiaokun Zhang &Wangshu Feng -2022 -Frontiers in Psychology 13.There has been no consensus on the neural dissociation between emotion-label and emotion-laden words, which remains one of the major concerns in affective neurolinguistics. The current study adopted dot-probe tasks to investigate the valence effect on attentional bias toward Chinese emotion-label and emotion-laden words. Behavioral data showed that emotional word type and valence interacted in attentional bias scores with an attentional bias toward positive emotion-laden words rather than positive emotion-label words and that this bias was derived from the disengagement difficulty (...) in positive emotion-laden words. In addition, an attentional bias toward negative emotion-label words relative to positive emotion-label words was observed. The event-related potential data demonstrated an interaction between emotional word type, valence, and hemisphere. A significant hemisphere effect was observed during the processing of positive emotion-laden word pairs rather than positive emotion-label, negative emotion-label, and negative emotion-laden word pairs, with positive emotion-laden word pairs eliciting an enhanced P1 in the right hemisphere as compared to the left hemisphere. Our results found a dynamic attentional bias toward positive emotion-laden words; individuals allocated more attention to positive emotion-laden words in the early processing stage and had difficulty disengaging attention from them in the late processing stage. (shrink)
- Social Status and Corporate Social Responsibility: Evidence from Chinese Privately Owned Firms.Yang Liu,Weiqi Dai,Mingqing Liao &Jiang Wei -2020 -Journal of Business Ethics 169 (4):651-672.In countries such as China, where Confucianism is the backbone of national culture, high-social-status entrepreneurs are inclined to engage in corporate social responsibility activities due to the perceived high stress from stakeholders and high ability of doing CSR. Based on a large-scale survey of private enterprises in China, our paper finds that Chinese entrepreneurs at private firms who have high social status are prone to engage in social responsibility efforts. In addition, high-social-status Chinese entrepreneurs are even more likely to engage (...) in social responsibility efforts as they become more politically connected and as the region becomes more market-oriented. These findings extend the upper echelons perspective of CSR into Chinese context by shedding light on antecedents of CSR from a new perspective and clarifying the boundary conditions of the social status–CSR link from the institutional perspective. (shrink)
- Implicit Theories and Engagement in Math Among Chinese Adolescent Students: A Moderated Mediation Model of Intrinsic Value and Academic Self-Efficacy.ShuyangJiang,Ru-De Liu,Yi Ding,Xinchen Fu,Yan Sun,RonghuanJiang &Wei Hong -2020 -Frontiers in Psychology 11.
- C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study.Zi-Yan Chen,Hong-Jiao Yan,Lin Qi,Qiao-Xia Zhen,Cui Liu,Ping Wang,Yong-Hong Liu,Rui-Dan Wang,Yan-Jun Liu,Jin-Ping Fang,Yuan Su,Xiao-Yan Yan,Ai-Xian Liu,Jianing Xi &Boyan Fang -2021 -Frontiers in Human Neuroscience 15.GraphicalPatients with early- to middle-stage PD were enrolled for C-Gait assessment and traditional walking ability assessments. The correlation of C-Gait assessment and traditional walking tests were studied. Two models were established based on C-Gait assessment and traditional walking tests to explore the value of C-Gait assessment in predicting freezing of gait.ObjectiveEfficient methods for assessing walking adaptability in individuals with Parkinson’s disease are urgently needed. Therefore, this study aimed to assess C-Gait for detecting freezing of gait in patients with early- to (...) middle-stage PD.MethodPeople with PD diagnosis were recruited from April 2019 to November 2019 in Beijing Rehabilitation Hospital. The participants performed six items of walking adaptability on an instrumented treadmill augmented with visual targets and obstacles. The patient’s walking adaptability was evaluated by C-Gait assessment and traditional walking tests, and FOG-related indexes were collected as outcome measures. Two discriminant models were established by stepwise discriminant analysis; area under the receiver operating characteristic curve was used to validate the models.ResultIn total, 53 patients were included in this study. Most C-Gait assessment items had no or low correlations with traditional walking tests. The obstacle avoidance and speed of adaptation items could lead to FOG with high sensitivity. In addition, the C-Gait assessment model had slightly better discrimination of freezers from non-freezers compared with traditional walking test models ; specifically, obstacle avoidance and speed of adaptation have uniquely discriminant potential.ConclusionC-gait assessment could provide additional value to the traditional walking tests for PD. Gait adaptability assessment, as measured by C-Gait, may be able to help identify freezers in a PD population. (shrink)
- The Discrepancy of Parents’ Theories of Intelligence and Parental Involvement.KexinJiang,Juan Liu,Chunhui Liu,Xiaolin Guo,Huan Zhou,Bo Lv,Zhaomin Liu &Liang Luo -2019 -Frontiers in Psychology 10.In families, mothers and fathers may hold the same or different levels of theories of intelligence. This congruence and discrepancy may influence parental involvement in children’s education. The current study examined how both parents’ theories of intelligence and the direction and degree of the discrepancy of parents’ intelligence theories influence maternal and paternal involvement separately. We measured 1,694 matched pairs of parents’ theories of intelligence and educational involvement, and examined the relationships using linear regressions and polynomial regressions with response surface (...) analysis. The results showed that 1) the mother’s intelligence theory positively related to both paternal involvement and maternal involvement, but the father’s intelligence theory only positively related to paternal involvement; 2) when the parents’ theories of intelligence reached congruence, the parents’ theories of intelligence are positively related to both maternal and paternal involvement; 3) when the parents’ theories of intelligence have discrepancy, the maternal involvement is higher while the mother’s intelligence theory’s level is more incremental than father’s; and 4) when the parents’ theories of intelligence have discrepancy, more discrepancy of parents’ theories of intelligence is related to more paternal involvement. This study revealed the significance of mother’s role in education, highlighted the importance of parents’ congruence and discrepancies in beliefs, examined how parents’ beliefs impact their own behavior and their couple’s behavior. (shrink)
- Victim Sensitivity and Altruistic Behavior in School: Mediating Effects of Teacher Justice and Teacher-Student Relationship.ShuyangJiang,Ru-De Liu,Yi Ding,Tian Po Oei,Xinchen Fu &Wei Hong -2019 -Frontiers in Psychology 10.
- Association of Affected Neurocircuitry With Deficit of Response Inhibition and Delayed Gratification in Attention Deficit Hyperactivity Disorder: A Narrative Review.XixiJiang,Li Liu,Haifeng Ji &Yuncheng Zhu -2018 -Frontiers in Human Neuroscience 12:374178.The neural networks that constitute corticostriatothalamocortical circuits between prefrontal cortex and subcortical structure provide a heuristic framework for bridging gaps between neurocircuitry and executive dysfunction in attention deficit hyperactivity disorder (ADHD). “Cool” and “Hot” executive functional theory and the models of dual pathway are supposed to be applied within the neuropsychology of ADHD. The theoretical model elaborated response inhibition and delayed gratification in ADHD. We aimed to review and summarize the literature about the circuits on ADHD and ADHD-related comorbidities, as (...) well as the effects of neurocircuitry on the executive dysfunction in ADHD. (shrink)
- Group Consensus for Discrete-Time Heterogeneous Multiagent Systems with Input and Communication Delays.YiliuJiang,Lianghao Ji,Xingcheng Pu &Qun Liu -2018 -Complexity 2018:1-12.No categories
- Analysis of students' positive emotions around the green space in the university campus during the COVID-19 pandemic in China.Shaobo Liu,Yifeng Ji,Jiang Li,You Peng,Zhitao Li,Wenbo Lai &Tao Feng -2022 -Frontiers in Public Health 10:888295.Green space around the university campus is of paramount importance for emotional and psychological restorations in students. Positive emotions in students can be aroused when immersed in green space and naturalness. However, to what extent can perceived naturalness influence students' positive emotion remains unclear, especially in the context of COVID-19 countermeasures. This study, therefore, attempts to investigate in-depth the nature and strength of the relationships between students' positive emotion and their perceived naturalness, place attachment, and landscape preference, which are potentially (...) varying across universities in different social and environmental contexts and different restrictions policies regarding the COVID-19 pandemic. (shrink)
- An Improved Grey Model with Time Power and Its Application.JianmingJiang,Caixia Liu,Yuanguo Yao,Yumu Lu,Wanli Xie &Chong Liu -2022 -Complexity 2022:1-10.The grey system model with time power, which is often called the GM, appeals considerable interest of research due to its effectiveness in time series forecasting. Aimed to improve further the GM model, this paper introduces a new whitening equation with variable coefficient into the original whitening equation which extends applicable scope; as a result, an improved grey model with time power, namely, OGM, is proposed. Firstly, the time response function of the novel model and the restored values of original (...) series are deduced through grey modelling techniques. Secondly, the variable coefficient in the whitening equation and the time power are determined by particle swarm optimization algorithm. Two empirical examples are then used to verify the validity of the novel model. Finally, the novel model is applied to predict the oil consumption of China from 2004 to 2018. Results show the novel model outperforms other commonly-used competitive models, which can well serve a benchmark model for scholars and decision-makers. (shrink)
- How Smart Technology Affects the Well-Being and Supportive Learning Performance of Logistics Employees?FeiJiang,Li Wang,Jian-Xin Li &Jie Liu -2022 -Frontiers in Psychology 12.The rapid improvement of technologies such as artificial intelligence in recent years has resulted in the development of smart technologies that can influence learning performance in different fields. The purpose of study is to explore the link between smart technology and learning performance. Using the S-O-R model as a framework, the researchers argue that smart technology will increase corporate trust, self-efficacy, and well-being, resulting in improved learning performance. The current model regards corporate trust and self-efficacy as relationship factors and investigates (...) their direct influence on employee well-being and learning performance and the mediating role played by these variables. Additionally, the function of employee well-being in moderating the relationship between corporate trust, self-efficacy, and employee learning performance is also explored. The respondents in the present study are made up of employees from 10 logistics companies located in China. The data analysis is conducted using the AMOS software. The results show that that smart technologies can affect learning performance through corporate trust, self-efficacy, and employee well-being. The implementation of smart technology initiatives by corporations may provide positive workplace outcomes for employees, corporations, and the relationship between employees and the companies that employ them. (shrink)
- Social Media for Health Campaign and Solidarity Among Chinese Fandom Publics During the COVID-19 Pandemic.QiaoleiJiang,Shiyu Liu,Yue Hu &Jing Xu -2022 -Frontiers in Psychology 12.Background:As a highly contagious disease, the COVID-19 pandemic has become a serious health threat and psychological burden for the global communities. From the conceptual perspective of affordances, this research examined the role of social media for health campaign and psychological support during the global crisis.Methods:Data from both social media and a nationwide survey were collected and analyzed. Face mask-related posts on Sina Weibo from January 1, 2020, to June 30, 2020, were retrieved and studied. Face mask wearing as a well-established (...) preventive measure was identified and examined from hashtag topics. A nationwide survey with a randomized experiment embedded was conducted to further investigate the mobilizing dynamics.Results:During the escalation phase in the first half of 2020, the hashtag topic “#national mask campaign#,” initiated by a celebrity, topped the ranking of mask-related topics on Weibo. The findings indicated that prevention activities, solidarity expression, and names of celebrity idols were frequently discussed. With celebrity idols as opinion leaders, millions of fandom publics actively participated in this hashtag health campaign. Results of the nationwide survey show the popularity of fan identity, and the experiment results demonstrate the strong mobilizing power of celebrity idol and fandom community in civic engagement and participation among young Chinese.Conclusions:The research demonstrates how the affordances of social media, such as liking, commenting, reposting, and hashtagging can be influential in promoting health behaviors and expressing solidarity. Implications for public health professionals and policymakers to raise awareness and understanding about health campaigns via social media are discussed. (shrink)
| 1 — 50 / 983 |
Off-campus access
Using PhilPapers from home?
Create an account to enable off-campus access through your institution's proxy server or OpenAthens.
Monitor this page
Be alerted of all new items appearing on this page. Choose how you want to monitor it:
 Email |  RSS feed |
Editorial team
General Editors:
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Area Editors:
David Bourget
Gwen Bradford
Berit Brogaard
Margaret Cameron
David Chalmers
James Chase
Rafael De Clercq
Ezio Di Nucci
Esa Diaz-Leon
Barry Hallen
Hans Halvorson
Jonathan Ichikawa
Monte Johnson
Michelle Kosch
Øystein Linnebo
Paul Livingston
Brandon Look
Manolo Martínez
Matthew McGrath
Michiru Nagatsu
Susana Nuccetelli
Giuseppe Primiero
Jack Alan Reynolds
Darrell P. Rowbottom
Aleksandra Samonek
Constantine Sandis
Howard Sankey
Jonathan Schaffer
Thomas Senor
Daniel Star
Jussi Suikkanen
Aness Kim Webster
Other editors
Contact us
Learn more about PhilPapers
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Area Editors:
David Bourget
Gwen Bradford
Berit Brogaard
Margaret Cameron
David Chalmers
James Chase
Rafael De Clercq
Ezio Di Nucci
Esa Diaz-Leon
Barry Hallen
Hans Halvorson
Jonathan Ichikawa
Monte Johnson
Michelle Kosch
Øystein Linnebo
Paul Livingston
Brandon Look
Manolo Martínez
Matthew McGrath
Michiru Nagatsu
Susana Nuccetelli
Giuseppe Primiero
Jack Alan Reynolds
Darrell P. Rowbottom
Aleksandra Samonek
Constantine Sandis
Howard Sankey
Jonathan Schaffer
Thomas Senor
Daniel Star
Jussi Suikkanen
Aness Kim Webster
Other editors
Contact us
Learn more about PhilPapers
Home |New books and articles |Bibliographies |Philosophy journals |About PhilPapers |API |Contact us |Code of conduct
PhilPapers logo byAndrea Andrews andMeghan Driscoll.
This site uses cookies and Google Analytics (see ourterms & conditions for details regarding the privacy implications).Use of this site is subject toterms & conditions.
All rights reserved byThe PhilPapers Foundation
Server: philpapers-web-5b9ff6f457-db555 uwo