With the development of mobile communication technology, location-based services are booming prosperously. Meanwhile privacy protection has become the main obstacle for the further development of LBS. The k-nearest neighbor search is one of the most common types of LBS. In this paper, we propose an efficient private circular query protocol with high accuracy rate and low computation and communication cost. We adopt the Moore curve to convert two-dimensional spatial data into one-dimensional sequence and encrypt the points of interest information with (...) the Brakerski-Gentry-Vaikuntanathan homomorphic encryption scheme for privacy-preserving. The proposed scheme performs the secret circular shift of the encrypted POIs information to hide the location of the user without a trusted third party. To reduce the computation and communication cost, we dynamically divide the table of the POIs information according to the value of k. Experiments show that the proposed scheme provides high accuracy query results while maintaining low computation and communication cost. (shrink)

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

This study examines how local Protestant belief, as one type of social norms, affects corporate cash policies. We find that firms located in areas with more Protestants hold less cash reserves. The influence of local Protestant belief on cash holdings is more profound for firms with weak corporate governance and firms with one geographic segment. In addition, we find that the difference in cash deployment is reflected in the difference in firms’ investment and payout policies. Overall, our study shows that (...) local Protestant belief is an important factor in determining corporate cash policies and helps to mitigate the potential free cash flow problem. (shrink)

Previous research has demonstrated that regular exercise modulates motor cortical plasticity and cognitive function, but the influence of short-term high-intensity interval training remains unclear. In the present study, the effect of short-term HIIT on neuroplasticity and executive function was assessed in 32 sedentary females. Half of the participants undertook 2 weeks of HIIT. Paired-pulse transcranial magnetic stimulation was used to measure motor cortical plasticity via short intracortical inhibition and intracortical facilitation. We further adapted the Stroop task using functional near-infrared spectroscopy (...) to evaluate executive function in the participants. The results indicated that, compared with the control group, the HIIT group exhibited decreased ICF. In the Stroop task, the HIIT group displayed greater activation in the left dorsolateral prefrontal cortex and left orbitofrontal cortex even though no significant difference in task performance was observed. These findings indicate that short-term HIIT may modulate motor cortical plasticity and executive function at the neural level. (shrink)

In the era of FinTech, many countries are currently exploring the viability of their own digital currencies due to the vast potential in terms of efficiency, security and accessibility. Some digital currencies have been under rapid development and real-world trials have recently been deployed. The purpose of this paper is to understand the main factors that could affect people’s intention to use digital currency via an empirical study. A survey was employed to collect data and the final sample consisted of (...) 408 respondents in China. The responses were analyzed using exploratory factor analysis, confirmatory factor analysis and structural equation modeling. The results showed that financial knowledge, perceived value, openness to innovation and perceived convenience positively impact people’s intention to use digital currency. It was also found that perceived value can be significantly anteceded by perceived monetary value, perceived functional value, and perceived emotional value. In addition, the mediating effect of perceived value on the influencing path between financial knowledge and intention to use was also confirmed. The findings can be utilized by governmental related authorities or FinTech companies to enhance the perception of users and develop effective strategies for increasing their intention to use digital currency. (shrink)

Recurrent neural network has been widely applied to many sequential tagging tasks such as natural language process and time series analysis, and it has been proved that RNN works well in those areas. In this paper, we propose using RNN with long short-term memory units for server load and performance prediction. Classical methods for performance prediction focus on building relation between performance and time domain, which makes a lot of unrealistic hypotheses. Our model is built based on events, which is (...) the root cause of server performance. We predict the performance of the servers using RNN-LSTM by analyzing the log of servers in data center which contains user’s access sequence. Previous work for workload prediction could not generate detailed simulated workload, which is useful in testing the working condition of servers. Our method provides a new way to reproduce user request sequence to solve this problem by using RNN-LSTM. Experiment result shows that our models get a good performance in generating load and predicting performance on the data set which has been logged in online service. We did experiments with nginx web server and mysql database server, and our methods can been easily applied to other servers in data center. (shrink)

Residual useful lifetime prediction plays a key role of failure prediction and health management in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization algorithm to estimate the (...) prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models. (shrink)

This study examined the correlation between depressive symptoms, interpersonal sensitivity, and social support before and during the COVID-19 pandemic and verified causal relationships among them. The study used Social Support Scale and Symptom Self-Rating Scale to investigate relevant variables. A total of 1,414 employees from company were recruited for this longitudinal study, which a follow up study was conducted on the same group of participants 1 year later. Paired sample t-test results showed that significant differences were only found in social (...) support, not in depressive symptoms or interpersonal sensitivity. The results of correlation analysis showed that social support, depressive symptoms, and interpersonal sensitivity were significantly correlated between wave 1 and wave 2. The cross-lag autoregressive pathway showed that employees’ social support level, depressive symptoms, and interpersonal sensitivity all showed moderate stability. Crossing paths showed that wave 1 social support could significantly predict wave 2 depressive symptoms and wave 2 interpersonal sensitivity. Wave 1 depressive symptoms could significantly predict wave 2 social support, while wave 1 interpersonal sensitivity could not predict wave 2 social support. Social support can be considered as a protective factor against mental health problems. (shrink)

The view of evil human nature is important in Chinese and western cultures. The thesis chooses evil human in St. Augustine’s thoughts and Hsun Tzu’s thoughts to compare and analyze evil in these two. St. Augustine, who is called “the Saint of God”, views the definition of evil, the resource of it, and salvations of it from the aspect of religious beliefs. He considers that evil is the privation of goodness and is not created by God. Because God is omnipotent (...) and all-good, it is impossible for God to create evil. Evil results from the free will of human beings themselves. If people want to attain their salvations, they should use their free will to choose good will and follow the goodness given by God. Hsun Tzu, one of Confucian scholars, puts forward evil human nature which is totally different from good human nature in Confucianism. He views the definition of evil, the source of it, and ways to change evil into good from the angle of social reality in Warring States Period. In Hsun Tzu’s views, evil results from the uninhibited extension of sound physical needs and desires for living. Hsun Tzu believes that human nature is evil and goodness comes from nurture, therefore, converting evil into good is to change human nature through nurturing. By further comparison and analysis, the thesis further looks into these two perspectives from their differences and similarities. It states their differences from five aspects: backgrounds, ways to change evil to good, categories, historical status, and positions of human beings. Apart from those, the thesis also refers to their similarities to complement the comparative analysis. From comparison and analysis, we can draw two conclusions: first, evil human nature from Hsun Tzu is simple in connotation and relatively objective compared with the view of St. Augustine; second, St. Augustine thinks that human beings are equal in front of evil, which has positive significance compared with the ideas posed by Hsun Tzu who insists on the distinction between saint and ordinary people, between monarchs and their subjects. (shrink)

ObjectiveThe study aimed to enhance the learning motivation of college physical education students and improve their learning outcomes. Based on the perspective of the self-determination theory, this study explores the influence of “Small Private Online Course + flipped classroom” teaching on the learning motivation of students majoring in physical education and profoundly analyzes the influencing factors and promotion paths of learning motivation using this model.Materials and methodsA total of four classes of physical education majors in a university were selected and (...) randomly divided into an experimental group and a control group. The experimental group received “SPOC + flipped classroom” teaching, the control group received traditional teaching. Before and after the 16-week intervention, learning motivation, teacher support perception, basic psychological need satisfaction, and academic emotions of the 64 students were measured, and the data were analyzed by repeated-measures analysis of variance and partial least square regression.Results The instructional intervention reduced non-regulation, external regulation, and introjected regulation, while increased identified regulation, intrinsic regulation, and self-determination levels in the students. The levels of non-regulation, external regulation, identified regulation, and self-determination were also significantly different from those of the control group. After the intervention, the scores of support for autonomy, support for competence, support for relatedness, and need for relatedness in the experimental group were significantly higher than those in the control group. Support for autonomy, support for competence, support for relatedness, need for competence and need for relatedness positively predicted the self-determination level, and intrinsic regulation and identified regulation negatively predicted non-regulation, external regulation, and introjected regulation.Conclusion“SPOC + flipped classroom” teaching has a positive impact on students’ learning motivation of basketball skills and promotes students’ motivation autonomy. The improvement of support for autonomy, support for competence, support for relatedness, need for competence, and need for relatedness may be related to the improvement of learning motivation of college students majoring in Physical Education. “SPOC + flipped classroom” teaching enables students to obtain more demand satisfaction by giving them more demand support, while demand support and demand satisfaction can promote the internalization of learning motivation so that students can maintain high autonomy motivation. (shrink)

This paper discusses the stability of semi-Markovian jump networked control system containing time-varying delay and actuator faults. The system dynamic is optimized while the network resource is saved by introducing an improved static event-triggered mechanism. For deriving a less conservative stability criterion, the Bessel–Legendre inequalities approach is employed to the stability analysis and plays a major role. By constructing the enhanced Lyapunov–Krasovskii functional relevant to the Legendre polynomials, a stability criterion with lower conservativeness indexed by N is derived, and the (...) conservativeness will decrease as N increases. In addition, a controller is designed. To prove the validity of this paper, numerical examples are provided at the last. (shrink)

Hybrid renewable energy system arises regularly in real life. By optimizing the capacity and running status of the microgrid, HRES can decrease the running cost and improve the efficiency. Such an optimization problem is generally a constrained mixed-integer programming problem, which is usually solved by linear programming method. However, as more and more devices are added into MG, the mathematical model of HRES refers to nonlinear, in which the traditional method is incapable to solve. To address this issue, we first (...) proposed the mathematical model of an HRES. Then, a coevolutionary multiobjective optimization algorithm, termed CMOEA-c, is proposed to handle the nonlinear part and the constraints. By considering the constraints and the objective values simultaneously, CMOEA-c can easily jump out of the local optimal solution and obtain satisfactory results. Experimental results show that, compared to other state-of-the-art methods, the proposed algorithm is competitive in solving HRES problems. (shrink)

Although the effects of pro-organizational motives on pro-organizational behaviors [i.e., unethical pro-organizational behavior and organizational citizenship behavior ] and their boundaries have been explored to some extent, extant studies are rather piecemeal and in need of synthesis and extension. Based on prior motivational research on pro-organizational behaviors, we developed a comprehensive contingent model in which moral identity and impression management motives would moderate the links between pro-organizational motives, UPB, and OCB. Adopting a time-lagged design, we collected data from 218 salespeople (...) in an internet technology service company in China. Results showed that pro-organizational motives were positively related to UPB and OCB. Moral identity weakened the impact of pro-organizational motives on UPB but strengthened the influence of pro-organizational motives on OCB. Furthermore, we found that impression management motives strengthened the effects of pro-organizational motives on UPB and OCB, and the interaction of impression management motives and pro-organizational motives was stronger on UPB than on OCB. Theoretical and practical implications, limitations, and future directions are discussed. (shrink)

Learning a deep structure representation for complex information networks is a vital research area, and assessing the quality of stereoscopic images or videos is challenging due to complex 3D quality factors. In this paper, we explore how to extract effective features to enhance the prediction accuracy of perceptual quality assessment. Inspired by the structure representation of the human visual system and the machine learning technique, we propose a no-reference quality assessment scheme for stereoscopic images. More specifically, the statistical features of (...) the gradient magnitude and Laplacian of Gaussian responses are extracted to form binocular quality-predictive features. After feature extraction, these features of distorted stereoscopic image and its human perceptual score are used to construct a statistical regression model with the machine learning technique. Experimental results on the benchmark databases show that the proposed model generates image quality prediction well correlated with the human visual perception and delivers highly competitive performance with the typical and representative methods. The proposed scheme can be further applied to the real-world applications on video broadcasting and 3D multimedia industry. (shrink)

As a rapidly growing emerging capital market, China has attracted the attention of both investors and scholars. To alleviate the expectation of external users of listed companies’ financial statements to “discount” items in levels 2 and 3 of the fair value measurement, listed companies will treat these items as conditional conservatism. It refers to the conservatism of companies when confirming bad news of unrealized gains and losses sooner than confirming good news. A sample was selected for empirical analysis to verify (...) the existence of this relationship. The results are as follows: the higher the proportion of levels 2 and 3 fair value measurements, the stronger the conditional conservatism of the company’s profit and loss; the higher the proportion of cash holding of operating activities in a company’s operating profit and the higher the audit quality, the higher the proportion of levels 2 and 3 fair value hierarchy measurements, and the stronger the conditional conservatism of the company’s profit and loss; and the lesser the internal control defects in a company, the higher the proportion of levels 2 and 3 fair value hierarchy measurements, and the stronger the conditional conservatism of its profit and loss. The findings provide empirical evidence to identify listed companies adopting conditional conservatism to alleviate discounting expectations of fair value items of financial statements’ external users and provide a reference for improving the standards and regulation of listed companies. (shrink)

With the rapid development of the Internet and the normalization of COVID-19 epidemic prevention and control, Online health communities have gradually become one of the important ways for people to obtain health information, and users have to go through a series of information processing when facing the massive amount of data. Understanding the factors influencing user information processing is necessary to promote users’ health literacy, health knowledge popularization and health behavior shaping. Based on the Heuristic-Systematic Model, Information Ecology Theory, Privacy (...) Trade-Off and Self-Efficacy Theory, we constructed a model of factors influencing user information processing in online health communities. We found that information quality and emotional support had indirect effects on heuristic and systematic information processing, and these effects were mediated by privacy concerns and self-efficacy. In our research model, systematic information processing was most positively influenced directly by self-efficacy. Privacy concerns had a direct negative correlation with both dual information processing pathways. Therefore, OHCs managers should develop relevant regulations to ensure the information quality in OHCs and improve privacy protection services to promote user information processing by improving users’ self-efficacy and reducing their privacy concerns. Providing a user-friendly and interactive environment for users is also recommended to create more emotional support, thus facilitating more systematic information processing. (shrink)

Event-based prospective memory refers to remembering to execute planned actions in response to a target ProM cues. Encoding modality influences ProM performance; visual encoding has been studied more than auditory encoding. Further, it has not yet been examined whether different encoding may influence ProM performance in different encoding modalities. This study examines the effects of encoding modality, cue-encoding specificity, and encoding modes on event-based ProM tasks. In Experiment 1, cue specificity and encoding modality were manipulated as a within-groups encoding of (...) visual cues is more commonly and between-groups variable. Results revealed the facilitative effect of cue specificity on ProM performance. Also, with respect to encoding modality, participants showed better performance when receiving auditory instructions compared with the visual encoding condition. In Experiment 2, as in Experiment 1, cue specificity and encoding modality were manipulated. Encoding mode was added as a new between-group variable. Result revealed that there was a significant interaction between encoding modality and encoding modes. Visual implementation intention encoding was a more effective method for improving ProM performance compared with visual standard encoding. Furthermore, there was a significant interaction between cue-encoding specificity and encoding modes. Implementation intention encoding enhances ProM performance in non-specific cue-encoding conditions. Overall, the present study found that auditory encoding modality showed superior ProM performance compared with visual encoding, although implementation intention had facilitative on ProM performance regardless of the encoding modalities, and there was better ProM performance under specific encoding compared with non-specific encoding, and implementation intention had a facilitative effect on ProM performance in the non-specific condition. (shrink)

The human brain shows neuroplastic adaptations induced by motor skill training. However, the description of the plastic architecture of the whole-brain network in resting-state is still limited. In the present study, we aimed to detect how motor training affected the density distribution of whole-brain resting-state functional connectivity (FC) brain in fast-ball student-athletes using resting-state functional magnetic resonance imaging (fMRI) data of student-athletes (SA), and non-athlete healthy controls (NC). The voxel-wise data-driven graph theory approach, namely global functional connectivity density (gFCD) mapping (...) was applied. The results showed that the SA group exhibited significantly decreased gFCD in brain regions centered at left triangular part of inferior frontal gyrus (IFG), extending to opercular part of left IFG and middle frontal gyrus (MFG) compared with NC group. The findings supported the idea of an increased neural efficiency of athletes’ brain in the brain regions associated with attentional-motor modulation and executive control. Furthermore, the behavioral results demonstrated that in the SA group, faster executive control reaction time was associated with smaller gFCD values in left IFG. The findings implied that the motor skill training would decrease the numbers of FC in IFG to accelerate the execution control with high attentional demands, and focus the attention to the target detection the athletes are interested in. (shrink)

AimsA negative association between the lower level of psychological resilience and increased risk of compassion fatigue and higher Coronavirus disease 2019 stress has been revealed. However, bibliometric studies have not been performed to comprehensively investigate this topic. This study aimed to identify the status and trends in the CF and PR field from 2008 to 2021 and during the COVID-19 pandemic.MethodsWe identified relevant literature from the Web of Science Core Collection® database using “resilience” and “compassion fatigue” on September 30, 2021. (...) All search results were exported in plain text format for collaboration network analysis, reference-based co-citation analysis, analysis of journals, and keywords-based co-occurrence analysis, which were performed using Citespace® 5.8.R1.ResultsA total of 388 publications were identified finally, and there has been an increasing trend in the annual number of publications with light fluctuations. The analysis of journals and keywords indicated that nurses and social workers are the main research targets, and their mental problems are the main research topics. The turnover intention of health care providers has been a research focus, particularly during the COVID-19.ConclusionThe results of the present study help us understand the status of the CF and PR field and its recent developments. (shrink)

Ben shu shou lu le zi 1500 nian yi lai, Zhongguo, Riben, Hanguo he Ou Mei di qu gong kai chu ban, fa biao de Yangming xue ji qi xiang guan xue shuo de wen xian mu lu, gong ji 5 wan yu tiao. Quan shu fen wei 10 juan. Qi zhong, di yi, er juan shou lu Zhong,Ri, Han san guo ji Ou Mei di qu yan jiu Yangming xue de zhong yao wen xian, bing an zhao yu yan (...) lei xing, fen wei Zhong wen wen xian, Ri wen wen xian, Han wen wen xian he Ying wen wen xian si ge bu fen; Di san zhi shi juan shou lu Zhongguo yan jiu Yangming xue de xiang guan wen xian, bing an nian du he xue ke fen lei cheng juan. (shrink)

There exists a widely accepted opinion in Chan/Zen 禪 studies that Chan enlightenment is a mysterium ineffabile, impenetrable by human intellect. Reviewing the debate between Hu Shi 胡適 and D. T. Suzuki over Chan enlightenment and accounts of testimony by Chan masters and practitioners in history, this essay argues that Chan enlightenment can be understood rationally and intellectually. By analyzing the time-honored Chan practices that have led to enlightenment, it seeks to understand the mystery as an extraordinary mental condition in (...) which an enlightened person temporarily blocks thinking in terms of language, consciousness, and intellect, and experiences a momentary “erasing” of what has been impressed on the psyche since birth. (shrink)

According to the Song critic Guo Ruoxu, the last five laws by Xie He are "open to study," while qiyun 氣韻 "necessarily involves an innate knowledge; it assuredly cannot be secured through cleverness or close application, nor will time aid its attainment. It is an unspoken accord, a spiritual communion; 'something that happens without one's knowing how'".1 For Guo Ruoxu, although the qiyun within a work refers to the quality of a painting and cannot be identical with the qiyun of (...) the artist, the ability to produce a painting replete with qiyun is determined by the painter's innate mental disposition. This idea has been echoed... (shrink)

Ben shu xi tong jie shi le zhi jue lun si xiang zai zhong guo xian dai zhe xue fa zhan yan bian de gui ji, Fen xi le liang shu ming, Xiong shi li, Feng you lan, He lin, Mou zong san, Fang dong mei, Tang jun yi deng ren yun yong zhi jue fang fa lai jian gou ge zi zhe xue si xiang ti xi zhi de yu shi, Ji you zhuan ti yan jiu de shen du, (...) You jian gu le shi de guang du, Xian ming gou le chu zhi jue lun zai zhong guo xian dai zhe xue yan jiu zhong de du te lun kuo. (shrink)

本书介绍的外国政界,学界的观点和看法涉及反腐倡廉的各个方面,如廉政,相互制衡,反腐,内外制约,制约机制,道德规范,道德教育等.

本書以習近平關於意識形態安全問題的一系列重要論述為指導，按照從一般到特殊、從理論到現實的邏輯脈絡，以理論闡述為基礎，以現實問題為參照，準確界定意識形態安全概念，重點把握國家意識形態安全風險演變特點，全 面分析互聯網時代影響中國意識形態安全的複雜因素，提出牢牢掌握互聯網時代維護中國意識形態安全戰略主動權的對策措施，試圖建構研究互聯網時代中國意識形態安全問題的完整理論框架，具有一定理論價值和現實意義。.