X. Wang

Tradition wireless sensor networks transmit data by single or multiple hops. However, some sensor nodes close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink, which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy is proposed to reduce the latency of mobile data gathering in a WSN while the routing strategies and tour planning of MS are jointly optimized. First, the issue of network coverage is discussed before the appropriate number of clusters being calculated. A dynamic clustering scheme is then developed where a virtual cluster center is defined as the MS sojourn for data collection. Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data. The proposed method is simulated in a MATLAB platform to show the overall performance of the developed system. Furthermore, the physical tests on a test rig are also carried out where a small WSN based on an unmanned aerial vehicle is developed in our laboratory. The test results validate the feasibility and effectiveness of the method proposed.

Historical progress is a core belief of the Enlightenment and modernity, also a spiritual catalyst of human emancipation in the past centuries. However, due to the naive understanding of scholars and its misuse by political power, the idea of progress has fallen from a realistic political belief in the pursuit of liberty and democracy to a metaphysical faith and a one-sided ideology. Instead of abandoning the concept itself, this paper will provide a new version for progress. In this version, supported theoretically with ideas from a Marxian critique of the paradox of progress in capitalist society and a Habermasian reconstruction of social evolution and progress, progress shall not be understood as an intrinsic trend of history itself, but a “historical-practical project” of humanity. The intent of rewriting progress is to transcend the dilemma between progressivism and catastrophism while at the same time preserving its positive meaning.

Previous research has shown that the proactive deprioritization of emotional distractors through the provision of information about the distractors or passive habituation of emotional distractors may attenuate emotion-induced blindness (EIB) in the rapid serial visual presentation stream. However, whether prior memory encoding of emotional distractors could bias the EIB effect remains unknown. To address this question, this study employed a three-phase paradigm integrating an item-method direct forgetting (DF) procedure with a classic EIB procedure. Participants completed a memory coding phase to either remember or forget negative pictures, then performed an intermediate phase of the EIB test, and finally finished a recognition test. Critically, the same to-be-forgotten (TBF) and to-be-remembered (TBR) negative pictures in the memory learning phase were used as emotional distractors in the intermediate EIB test. The results replicated the typical DF effect by showing higher recognition accuracies for TBR pictures compared to those for TBF pictures. More importantly, the TBF negative distractors attenuated the EIB effect compared to the TBR negative distractors, but showed a comparable EIB effect as the novel negative distractors. These findings indicate that prior memory encoding manipulations of negative distractors could bias subsequent EIB effects, providing an important approach to modulate the EIB effect.

The increase of ETC vehicles on expressways has changed the proportion of ETC/MTC lanes at toll stations. Based on a driving simulator, three toll gate lane warning sign schemes were proposed in this study. Driving simulation experiments were conducted to study the influence of figures in warning signs at the manual toll station on the lane change timing of drivers. It was found that the addition of arrows to the warning signs can significantly shorten the response time and guide the driver to make lane change decisions earlier to reduce the congestion between MTC vehicles and the mainline ETC vehicles at the toll plaza, thereby improving the traffic capacity and safety.

Most previous empirical studies just addressed the influence of geographical proximity on interactive learning regarding the collaboration between knowledge-intensive business service and manufacturing industries. Drawing upon the social cognitive and knowledge-based perspective, this study bridged the research gaps by investigating the joint effects of geographical proximity and two representative non-geographic-proximities in fostering manufacturing firms’ innovation performance. In terms of the empirical analysis, we applied a research sample that involves the data of various manufacturing industries in 260 cities of China from 2003 to 2014 to test the corresponding hypotheses. Additionally, the Spatial Durbin Model was adopted and the research findings showed that: the geographic and social proximity significantly promote the knowledge transfer from KIBS to manufacturing firms, which further improves the innovation performance of the latter. However, the effect of cognitive proximity presents insignificant; the interactive effect of geographic and social proximity was positively associated with the innovation collaboration between KIBS and manufacturing firms; although the individual effect of cognitive proximity was insignificant, when it interacted with geographic or social proximity, the joint effects were proved to promote the innovation performance of manufacturing firms. This study extends our understanding pertaining to the influencing mechanism of proximity for KIBS and the innovation process. The findings proved that geographic and social proximity are two imperative facilitators of knowledge-creating collaboration, highlighting their indispensable role in moderating and mediating the knowledge transfer of KIBS as well as the innovation performance of manufacturing firms. Notably, cognitive proximity is contingent upon geographic and social proximity on its positive effects on the innovation performance for KIBS and their clients’ collaboration.

We explore the potential impact of CEO entrepreneurial orientation on firm choice of CSR activities. Integrating upper echelon theory and attention-based view of the firm, we find that CEO entrepreneurial orientation leads to more engagement in CSR innovation rather than corporate philanthropy. We find that the effect of CEO entrepreneurial orientation on firm choice of CSR activities varies under two situational contexts: state-owned enterprises and incoming/departing CEO. The hypotheses are tested using two different studies. Study 1 uses a cross-sectional survey of Chinese CEOs, whereas study 2 employs a longitudinal analysis of Chinese publicly listed firms from 2003 to 2017. Both studies support our theoretical hypotheses.

Taking a panoramic view on the history of modem philosophy, we can learn that political philosophy, a new arena for modem philosophy, has become an important field in philosophical studies since the later half of the 20th century. As far as the problem domain of political philosophy is concerned, political philosophy is only a special form of philosophy. The revival of political philosophy, however, indicates that philosophical inspection of political matters has regained legitimacy, and also means the restaging of philosophy as a knowledge type at modern times. In one sense, we can view the newly-revived political philosophy as typical modemrn philosophy, because its problem domain, its unique angle of looking into the life world and its ideal concern about the actual world make it one of the best ways in which we can reflect the existence of mankind in modern times

As human consumption is one of the key contributors to environmental problems, it is increasingly urgent to promote sustainable consumption. Drawing on the agentic-communal model of power, this research explores how the psychological feeling of power influences consumers’ preference for green products. We show that low power increases consumers’ preference for green products compared to high power. Importantly, we identify two factors moderating the main effect of power on green consumption. Specifically, we find that the effect of power on green consumption is more salient among those with high green consumption values. In addition, the effects of power are dynamic as a function of power distance belief, such that low power promotes green consumption in the low-PDB context while high power promotes green consumption in the high-PDB context. Taken together, these findings provide novel insights into understanding green consumption from the perspectives of social power, green values, and PDB. Besides contributing to the literature, the findings have significant implications for marketers and policy-makers in promoting green campaigns, bridging the attitude-behavior gap, and building a more sustainable society.

Knearest neighbor search is an important problem in location-based services and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road always changes over time. Most existing methods forkNN query build various indexes maintaining the shortest distances for some pairs of vertices on static road networks. Unfortunately, these methods cannot be used for the time-dependent road networks because the shortest distances always change over time. To address the problem ofkNN query on time-dependent road networks, we propose a novel voronoi-based index in this paper. Furthermore, we propose a novel balanced tree, namedV-tree, which is a secondary level index on voronoi-based index to make our querying algorithm more efficient. Moreover, we propose an algorithm for preprocessing time-dependent road networks such that the waiting time is not necessary to be considered. We confirm the efficiency of our method through experiments on real-life datasets.

To investigate whether implicit detection occurs uniformly during change blindness with single or combination feature stimuli, and whether implicit detection is affected by exposure duration and delay, two one-shot change detection experiments are designed. The implicit detection effect is measured by comparing the reaction times of baseline trials, in which stimulus exhibits no change and participants report “same,” and change blindness trials, in which the stimulus exhibits a change but participants report “same.” If the RTs of blindness trials are longer than those of baseline trials, implicit detection has occurred. The strength of the implicit detection effect was measured by the difference in RTs between the baseline and change blindness trials, where the larger the difference, the stronger the implicit detection effect. In both Experiments 1 and 2, the results showed that the RTs of change blindness trials were significantly longer than those of baseline trials. Whether under set size 4, 6, or 8, the RTs of the change blindness trials were significantly longer than those in the baseline trials. In Experiment 1, the difference between the baseline trials’ RTs and change blindness trials’ RTs of the single features was significantly larger than that of the combination features. However, in Experiment 2, the difference between the baseline trials’ RTs and the change blindness trials’ RTs of single features was significantly smaller than that of the combination features. In Experiment 1a, when the exposure duration was shorter, the difference between the baseline and change blindness trials’ RTs was smaller. In Experiment 2, when the delay was longer, the difference between the two trials’ RTs was larger. These results suggest that regardless of whether the change occurs in a single or a combination of features and whether there is a long exposure duration or delay, implicit detection occurs uniformly during the change blindness period. Moreover, longer exposure durations and delays strengthen the implicit detection effect. Set sizes had no significant impact on implicit detection.

This article discusses a Confucian notion of cosmological life and its eco-philosophical implication. In contrast to the Kantian notion of the man who has exclusive moral worth, existing as the ultimate value-conferrer among beings, Confucian cosmological man understands his/her selfness through the lens of sacred unity with other beings. The modern ecological disaster is arguably caused by the reluctance to recognize the inherent value of nature, which is due to the anthropocentrism partly introduced by the enlightenment notion of humanity. The Confucian cosmological person worships the ultimate value of the cosmos as a unity of heaven, humans, and earth, and in so doing delivers genuine care for the environment, not for the sake of its instrumental but for its inherent value.

An effective approach is introduced to predict the magnitude of reservoir-triggered earthquake, based on support vector machines and fuzzy support vector machines methods. The main influence factors on RTE, including lithology, rock mass integrity, fault features, tectonic stress state, and seismic activity background in reservoir area, are categorized into 11 parameters and quantified by using analytical hierarchy process. Dataset on 100 reservoirs in China, including the 48 well-documented cases of RTE, are collected and used to train and validate the prediction models established with SVM and FSVM, respectively. Through numerical tests, it is found that both the SVM and FSVM models are effective in the prediction of the magnitude of RTE with high accuracy, provided that sufficient samples are collected. While the results of FSVM which is extended from SVM by introducing a fuzzy membership to reduce the influence of noises or outliers are found to be slightly less accurate than those of SVM in the current analysis of RTE cases. The reason might be attributed to the high discreteness of the sample data in the current study.

Although research has demonstrated the benefit of psychological detachment for employee well-being, the explanatory mechanisms related to work behaviors underlying this effect remain underdeveloped. Addressing this research gap, we consider self-discrepant time allocation (preferred–actual allocation) as a mediating mechanism through which psychological detachment affects employee well-being. We hypothesize that psychological detachment is associated with self-discrepant time allocation at work. Specifically, we suggest that employees with low detachment tend to allocate more time than preferred to work activities that demand fewer self-regulatory resources, and allocate less time than preferred to activities demanding greater self-regulatory resources. These self-discrepant time allocations at work are associated with employee well-being. Polynomial regression analysis and response surface methodology were used to test the hypotheses. The results, based on a sample of 390 faculty members from 19 universities, showed that, when psychological detachment during weekends is low and self-regulatory resources are insufficient, employees will allocate less time than preferred to work activities that require more self-regulatory resources (i.e., researching activities) during the subsequent work period. Instead, employees tend to allocate more time to activities that require less resources (i.e., teaching activities). These discrepancies between actual and preferred time allocation at work activities, in turn, negatively affect employee well-being and mediate the relationship between psychological detachment and employee well-being.

The “dynamic turn” in the field of second language acquisition catalyzed scholarly devotion to the complex dynamic relationships between learner and teacher variables and various academic emotions. As such, the present study examined the varying effects of the aforementioned variables on the constructs of positive and negative flow, and determined their strongest predictors, respectively. This study used a mixed-method approach to collect data from 607 Chinese English-as-a-Foreign-Language learners. In stage one of the research, the researcher first assessed the participants’ levels of positive flow and negative flow in a blended learning context, then performed Pearson correlation analysis to confirm a significant, but weak positive relationship between positive flow and negative flow. Then, significant difference tests were run to determine the varied effects of those variables on flow. Finally, two multiple regression analyses were conducted to identify five predictors of positive flow, with the biggest contribution coming from learners’ attitudes toward the foreign language, and three predictors of negative flow, with the learners’ major accounting for the majority of variance. In the second stage of the research, a qualitative corpus was constructed, based on accounts of classroom experiences from 71 participants of the total sample, and further illustrated the quantitative findings. Pedagogical implications for educational psychologists and teachers of second and/or foreign languages are addressed.