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This research synthesizes social exchange, organizational culture, and social identity theories to explore the boundary conditions of the relationship between high-performance work systems and employee organizational citizenship behavior. In particular, it draws on the China-specific management context. In this country, in spite of the wide use of a long-term-oriented and loose-control-focused Western-styled strategic human resource management model, a short-term-focused and tight-control-oriented error aversion culture is still popular. The study uses multi-source individual-level survey data in a large state-owned enterprise to test (...) the hypotheses. It is found that employee-experienced, Western-styled high-performance work systems positively impact a China-specific employee’s organizational citizenship behavior, and the—joint—moderation effects of employee-perceived error aversion culture and organizational identification are significant. The research findings deepen the understanding of the HRM-OCB relationship by demonstrating that culture and identity can jointly adjust the effects of HRM on OCB. The findings also challenge an established argument in the HRM-OCB literature that compatibility between employees’ personalities and organizational values – organizational identification – can enhance OCB. (shrink)

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School enterprise cooperation, as the basic school running form of applied undergraduate education, is an important way to cultivate applied talents. However, at present, the lack of motivation for enterprises to participate in school enterprise cooperation and the resulting problem of “school hot and enterprise cold” seriously limit the talent training quality in China’s application-oriented universities. There is an urgent need to explore the influencing factors and mechanisms of enterprises’ participation in school enterprise cooperation to improve the training quality of (...) applied talents. Taking Ajzen Theory of Planned Behavior as the theoretical framework, this study constructs the influencing factor model of enterprise participation in school enterprise cooperation from four aspects, namely, behavior attitude, subjective norms, perceived behavior control, and behavior intention. In this study, participants completed a questionnaire assessing their participation in school enterprise cooperation, which was analyzed by a structural equation model. The results show that the behavior attitude and perceived behavior control of enterprises have a significant positive impact on their intention to participate in school enterprise cooperation and then have a significant positive impact on the school enterprise cooperation behavior of enterprises. The behavior intention and perceived behavior control of enterprises have a significant positive impact on their participation in school enterprise cooperation. The policy environment has a significant regulatory effect on the relationship between the intention and behavior of enterprises’ participation in school enterprise cooperation. Therefore, from the perspective of enhancing the intention of enterprises to cooperate, colleges and universities should establish the awareness of win-win cooperation and meet the interest demands of enterprises in school enterprise cooperation in order to improve the behavior attitude and intention of enterprises. From the perspective of the formation conditions of school enterprise cooperation, with the help of industry associations, an information service platform for school enterprise cooperation should be built in order to eliminate the information islands between enterprises and universities. From the perspective of the needs of school enterprise cooperation environment, government departments should strengthen the policy support for school enterprise cooperation in order to eliminate the worries of enterprises’ participation in school enterprise cooperation. (shrink)

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Chengbing WangShanxi University, Taiyuan, ChinaMichael A. PetersBeijing Normal University, Beijing, ChinaContemporary Chinese Marxism is not only an important theory in the humanities and social sc...

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E. Husserl's reflections in Logical Investigations on "Intentional Feelings" and "non-intentional feelings" are significant in both his later ethical explorations and M. Scheler's thought on ethics. Through the incorporation of the views of Husserl and Scheler, we find that the phenomenology of the intentional feeling-acts is not only the foundation of the non-formal ethics of values in Scheler's phenomenology, but also at least the constitutive foundation of the ethics of Husserl's first orientation. /// 胡塞尔在 "逻辑研究" 中对 "意向感受" 和 "非意向感受" 的思考，无论是 (...) 在他后来的伦理学探讨中，还是在舍勒的伦理学思想中，都具有重要的意义。通过 将胡塞尔与舍勒的视域融合，可以发现，意向感受行为现象学不仅是舍勒现象学的 质料的价值伦理学基础，而且至少可以是胡塞尔第一个方向上的伦理学的建构基础。. (shrink)

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The smile is a frequently expressed facial expression that typically conveys a positive emotional state and friendly intent. However, human beings have also learned how to fake smiles, typically by controlling the mouth to provide a genuine-looking expression. This is often accompanied by inaccuracies that can allow others to determine that the smile is false. Mouth movement is one of the most striking features of the smile, yet our understanding of its dynamic elements is still limited. The present study analyzes (...) the dynamic features of lip corners, and considers how they differ between genuine and posed smiles. Employing computer vision techniques, we investigated elements such as the duration, intensity, speed, symmetry of the lip corners, and certain irregularities in genuine and posed smiles obtained from the UvA-NEMO Smile Database. After utilizing the facial analysis tool OpenFace, we further propose a new approach to segmenting the onset, apex, and offset phases of smiles, as well as a means of measuring irregularities and symmetry in facial expressions. We extracted these features according to 2D and 3D coordinates, and conducted an analysis. The results reveal that genuine smiles have higher values for onset, offset, apex, and total durations, as well as offset displacement, and a variable we termed Irregularity-b (the SD of the apex phase) than do posed smiles. Conversely, values tended to be lower for onset and offset Speeds, and Irregularity-a (the rate of peaks), Symmetry-a (the correlation between left and right facial movements), and Symmetry-d (differences in onset frame numbers between the left and right faces). The findings from the present study have been compared to those of previous research, and certain speculations are made. (shrink)

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In pre-Qin China, during the wrangling of the hundred schools, there was one current of thought that regarded Laozi as its founder and which, as we all know, enjoyed great influence in those days, as well as in all subsequent generations. Throughout history, this school of thought founded by Laozi has been referred to as Daoism, in the same way that the school headed by Confucius has been called Confucianism.

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While previous studies have examined front-line teachers’ written feedback practices in second language (L2) writing classrooms, such studies tend to not take teachers’ language and sociocultural backgrounds into consideration, which may mediate their performance in written feedback provision. Therefore, much remains to be known about how L2 writing teachers with different first languages (L1) enact written feedback. To fill this gap, we designed an exploratory study to examine native English-speaking (NES) and non-native English-speaking (NNES) (i.e., Chinese L1) teachers’ written feedback (...) practices in the Chinese tertiary context. Our study collected 80 English as a foreign language (EFL) students’ writing samples with teacher written feedback and analyzed them from three aspects: Feedback scope, feedback focus, and feedback strategy. The findings of our study revealed that the two groups of teachers shared similar practices regarding feedback scope and feedback strategies. Both NES and NNES EFL teachers used a comprehensive approach to feedback provision, although NNES teachers provided significantly more feedback points than their NES peers and they delivered their feedback directly and indirectly. However, their practices differed greatly with regard to feedback focus. Specifically, when responding to EFL students’ writing, NES teachers showed more concern with global issues (i.e., content and organization), whereas NNES teachers paid more attention to linguistic errors. With a surge in the recruitment of expatriate NES and local NNES English teachers in China and other EFL countries, our study is expected to make a contribution to a better understanding of the two groups of EFL teachers’ pedagogical practices in written feedback provision and generate important implications for their feedback provision. (shrink)

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Research investigating the intricacies of how self-regulated writing strategies are used in a finely focused area of the second language writing process is still lacking. This study takes a mixed-methods approach to explore Chinese English as a Foreign Language learners’ use of self-regulated writing strategies when revising based on automated, peer, and teacher feedback in an online EFL writing context. Thirty-six Chinese university learners filled in three questionnaires. In addition, four learners followed a think-aloud protocol while revising and responding to (...) a stimulated recall interview to provide further data. The results revealed that learners employed an array of self-regulated writing strategies to attain their feedback revision goals. Learners used more cognitive strategies when revising based on automated feedback compared with peer and teacher feedback and more motivational strategies when revising based on teacher feedback. The think-aloud data and stimulated recall interviews coincided with the quantitative findings. Textual analysis revealed that feedback type and quantity were associated with self-regulated writing strategy use. (shrink)

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The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents a BERT-based (...) model to identify biomedical named entities in the Arabic text data that investigates the effectiveness of pretraining a monolingual BERT model with a small-scale biomedical dataset on enhancing the model understanding of Arabic biomedical text. The model performance was compared with two state-of-the-art models, and it outperformed both models with 85% F1-score. (shrink)

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Recent studies of the low abundant signaling lipid, phosphatidylinositol 3,5‐bisphosphate (PI(3,5)P2), reveal an intriguingly diverse list of downstream pathways, the intertwined relationship between PI(3,5)P2 and PI5P, as well as links to neurodegenerative diseases. Derived from the structural lipid phosphatidylinositol, PI(3,5)P2 is dynamically generated on multiple cellular compartments where interactions with an increasing list of effectors regulate many cellular pathways. A complex of proteins that includes Fab1/PIKfyve, Vac14, and Fig4/Sac3 mediates the biosynthesis of PI(3,5)P2, and mutations that disrupt complex function and/or (...) formation cause profound consequences in cells. Surprisingly, mutations in this pathway are linked with neurological diseases, including Charcot‐Marie‐Tooth syndrome and amyotrophic lateral sclerosis. Future studies of PI(3,5)P2 and PI5P are likely to expand the roles of these lipids in regulation of cellular functions, as well as provide new approaches for treatment of some neurological diseases. (shrink)

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Most of the existing literature on social preferences either tests whether certain characteristics of the social context influence individual decisions, or tries to estimate parameters of social preference functions describing such behavior at the level of the entire population. In the present paper, we are concerned with measuring parameters of social preference functions at the individual level. We draw upon concepts developed for eliciting other types of utility functions, in particular the literature on decision making under incomplete information. Our method (...) derives parameters of social preference functions from indifference statements about the distribution of payoffs a group. We apply our method in a controlled social preference experiment to establish the external validity of estimated parameters. Our results show the expected relationships to some external factors and also a strong correspondence between parameter estimates and factors that, according to the subjects’ own descriptions, influenced their behavior. We also find that some concepts discussed in the literature on social preferences, in particular envy toward players receiving a larger payoff, have very diverse and complex effects at the individual level. (shrink)

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In this paper, notions of fuzzy closure system and fuzzy closure L—system on L—ordered sets are introduced from the fuzzy point of view. We first explore the fundamental properties of fuzzy closure systems. Then the correspondence between fuzzy closure systems and fuzzy closure operators is established. Finally, we study the connections between fuzzy closure systems and fuzzy Galois connections. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Based on a 12-year bibliographic record collected from the Web of Science database, the present study aims to provide a macroscopic overview of the knowledge domain in financial decision making. A scientometric and bibliometric analysis was conducted on the literature published in the field from 2010 to 2021, using the CiteSpace software. The analysis focuses on the co-occurring categories, the geographic distributions, the vital references, the distribution of topics, as well as the research fronts and emerging trends of financial related (...) decision making. The steady increase of papers published year by year demonstrated the increasing interest on this topic at the international level. The scientometric analysis of the literature showed that financial decision, investment decision, and financing decision stood out of the crowd of the research on FDM, suggesting their important role in FDM and its research. The results of citation burst analysis predicted the focus of topics, i.e., the impact of individual differences such as financial literacy, gender and age on FDM in the coming years. Different from the traditional approach of literature review, this bibliometric analysis offers a scientometric approach to reveal the status quo and the development trend of FDM by macro and quantitative means. In addition, future research directions for the field are recommended. (shrink)

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In a commercialised and globalised China, museum institutions are pivotal elements in public strategies to present and create national self‐consciousness, insofar as their vast collections provide symbols of cultural identification on a national as well as an international level. This article will explore Chinese public museum policy and impact, firstly by describing the current status of the system as background information; secondly, by presenting the most recent trends in museum strategies and finally, by replacing the challenges and complexities of the (...) museum system in a broader context. The analysis will draw from first hand material from interviews and informal conversations with museum professionals, small‐scale visitor surveys as well as the most recent facts and figures, and it will be illustrated by examples and supported by secondary sources. (shrink)

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Evidence from our research on young children's temporal understanding supports Hoerl & McCormack's view that young children rely on a temporal updating system to change representations over time. We propose that the shift from temporal updating to temporal reasoning is enabled by children's expanding representations of event sequences, along with developments in language, memory, and other cognitive competencies.

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Vehicular ad hoc network is a multihop mobile wireless communication network that can realize many vehicle-related applications through multitop communication. In the open wireless communication environment, security and privacy protection are important contents of VANET research. The most basic method of VANET privacy protection is anonymous authentication. Even through, there are many existing schemes to provide anonymous authentication for VANETs. Many existing schemes suffer from high computational cost by using bilinear pairing operation or need the assistance of the trust authorities (...) during the authentication process or rely on an ideal tamper-proof device, which requires very strong security assumption. In this study, an anonymous authentication and key negotiation scheme by using private key and group key is proposed, which is based on pseudonym using the nonsingular elliptic curve. In this scheme, there is no third party trust center to participate in the authentication, there is no need to query the database, and there is no need of the local database to save the identity information of many vehicles, which reduce the storage space and the authentication time compared with other schemes. The proposed scheme only needs realistic TPDs. In the proposed scheme, TPDs do not need to preinstall the system key as many other schemes do; hence, the failure of a single TPD does not affect the security of the entire system. The security of the scheme is proved under the random oracle model. Compared with the related schemes using bilinear pairings, the computational cost and communication cost of the proposed scheme are reduced by 82% and 50%, respectively. (shrink)

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Extreme events, which are usually characterized by generalized extreme value models, can exhibit long-term memory, whose impact needs to be quantified. It was known that extreme recurrence intervals can better characterize the significant influence of long-term memory than using the GEV model. Our statistical analyses based on time series datasets following the Lévy stable distribution confirm that the stretched exponential distribution can describe a wide spectrum of memory behavior transition from exponentially distributed intervals to power-law distributed ones, extending the previous (...) evaluation of the stretched exponential function using Gaussian/exponential distributed random data. Further deviation and discussion of a historical paradox are also provided, based on the theoretical analysis of the Bayesian law and the stretched exponential distribution. (shrink)

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Event cameras which transmit per-pixel intensity changes have emerged as a promising candidate in applications such as consumer electronics, industrial automation, and autonomous vehicles, owing to their efficiency and robustness. To maintain these inherent advantages, the trade-off between efficiency and accuracy stands as a priority in event-based algorithms. Thanks to the preponderance of deep learning techniques and the compatibility between bio-inspired spiking neural networks and event-based sensors, data-driven approaches have become a hot spot, which along with the dedicated hardware and (...) datasets constitute an emerging field named event-based data-driven technology. Focusing on data-driven technology in event-based vision, this paper first explicates the operating principle, advantages, and intrinsic nature of event cameras, as well as background knowledge in event-based vision, presenting an overview of this research field. Then, we explain why event-based data-driven technology becomes a research focus, including reasons for the rise of event-based vision and the superiority of data-driven approaches over other event-based algorithms. Current status and future trends of event-based data-driven technology are presented successively in terms of hardware, datasets, and algorithms, providing guidance for future research. Generally, this paper reveals the great prospects of event-based data-driven technology and presents a comprehensive overview of this field, aiming at a more efficient and bio-inspired visual system to extract visual features from the external environment. (shrink)

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Idioms are the unity of figurative and formulaic expressions, driving a variety of creative variants used in everyday life. This study explored how Chinese readers made sense of Chinese idioms and their variants, with possible constraints from their strength in overall inhibitory control (OIC). Our new attempt at a comprehensive measure of inhibitory control managed to predict the readers’ self-paced reading behavior in the context of the idioms written in the Chinese ideographic script. Those with poorer OIC were assumed to (...) show more difficulties in inhibiting the literal meaning of a Chinese idiom as the supportive context unfolded. Such constraints from OIC also resurfaced during the comprehension of the Chinese variants employed in this study that were likely treated as novel idioms. We thereby assumed a hybrid route for the comprehension of Chinese idiomatic expressions. Nonetheless, idiom familiarity or decomposability exerted limited influence during these processes. The current study enriches the individual-difference approach to idiom comprehension by further expounding how its account varies with an ideographic writing system characterized by symbolic glyphs. (shrink)

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Many researchers have acknowledged the role of metacognition in facilitating learning to write in English as a foreign language (EFL). Although research on metacognition has explored learners’ metacognitive knowledge and metacognitive strategies in the field of EFL writing, little is known about the nature of learners’ metacognitive experiences in EFL writing. To fill such an important gap, this study was designed to assess EFL learners’ metacognitive experiences before, during, and after writing. Data were collected from a total of 760 undergraduates (...) through three self-report questionnaires and a writing task. Results from quantitative analyses showed four subcategories of EFL learners’ metacognitive experiences in writing: metacognitive feeling, metacognitive judgments/estimates, online task-specific metacognitive knowledge, and online task-specific metacognitive strategies. Based on the empirical evidence, we propose a model of metacognitive experiences in EFL writing. Theoretical, methodological, and pedagogical implications are discussed. (shrink)

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Individuals often fail to accurately predict others’ decisions in a risky environment. In this paper, we investigate the characteristics and causes of this prediction discrepancy. Participants completed a risky decision-making task mixed with different domains (gain vs. loss) and probabilities (small vs. large), with some participants making decisions for themselves (the actor) and the others predicting the actors’ decisions (the predictor). The results demonstrated a prediction discrepancy: predictions were more risk-averse than the actual decisions over small-probability gains and more risk-seeking (...) over large-probability gains, while these patterns were reversed in the loss domain. Reported and predicted levels of emotional stimulation revealed a pattern that is consistent with the notion of risk-as-feelings and empathy gaps. Mediation analysis provided strong evidence that such prediction discrepancy is driven mainly by the predictor’s underestimate of the intensity (not the impact) of the actor’s emotional state. (shrink)

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The present study aimed to investigate how native Japanese speakers learning Chinese choose preferred positions for temporal adverbs depending on their level of Chinese proficiency. A naturalness judgment task conducted on native Chinese speakers showed that the most natural position for Chinese temporal adverbs was before the subject and that placement after the locative prepositional phrase was incorrect. The same task applied to native Japanese speakers found the most natural position for Japanese temporal adverbs was also before the subject. Further, (...) when they appear at the beginning of a sentence, they provide the time for the entire sentence. Accordingly, temporal topicalization appears to influence naturalness decisions by both native Chinese and Japanese speakers. A point of difference was that in Japanese, a temporal adverb placed after a locative prepositional phrase was judged to be acceptable. When the same task was given to native Japanese speakers learning Chinese divided into three Chinese proficiency level groups, placement before the subject was the most preferred by the higher Chinese proficiency group. In addition, placement after the locative prepositional phrase was unfavored by them while the same position was frequently selected by the lower level group. As Chinese proficiency increases it appears that the preferred temporal adverb position is before the subject and the placement after the locative prepositional is judged to be unnatural. Thus, a sense of suitable temporal adverb positions in Chinese is influenced by the level of Chinese proficiency of native Japanese speakers. (shrink)

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The research expects to explore the application of intelligent music recognition technology in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm model which can distinguish various music signals and generate various genres of music is designed and implemented. First, by analyzing the application of machine learning and deep learning in the field of music, the algorithm model is designed to realize the function of intelligent music generation, which provides a theoretical basis for relevant research. Then, by (...) selecting massive music data, the music style discrimination and generation model is tested. The experimental results show that when the number of hidden layers of the designed model is 4 and the number of neurons in each layer is 1,024, 512, 256, and 128, the training result difference of the model is the smallest. The classification accuracy of jazz, classical, rock, country, and disco music types can be more than 60% using the designed algorithm model. Among them, the classification effect of jazz schools is the best, which is 77.5%. Moreover, compared with the traditional algorithm, the frequency distribution of the music score generated by the designed algorithm is almost consistent with the spectrum of the original music. Therefore, the methods and models proposed can distinguish music signals and generate different music, and the discrimination accuracy of different music signals is higher, which is superior to the traditional restricted Boltzmann machine method. (shrink)

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Proactive personality is a key determinant of entrepreneurial intention. Few studies have explored the mediating and moderating mechanisms underlying this relationship. This study investigates the association between proactive personality and entrepreneurial intention and examines the mediating role of perceived entrepreneurial support and the moderating role of gender. Using a cross-sectional design, 1,515 senior students from Chinese private colleges were recruited using random cluster sampling. They completed a battery of self-reported online questionnaires on proactive personality, perceived entrepreneurial support, and entrepreneurial intention. (...) The results revealed that perceived entrepreneurial support mediates the association between proactive personality and entrepreneurial intention. Moderated mediation analysis indicated that the relationship between proactive personality and perceived entrepreneurial support and that between perceived entrepreneurial support and entrepreneurial intention are moderated by gender. Specifically, the positive association between proactive personality and entrepreneurial intention was stronger in male students, and the positive association between perceived entrepreneurial support and entrepreneurial intention was stronger in female students. This study contributes to the understanding of how proactive personality predicts entrepreneurial intention in Chinese private college students and bears implications for higher education institutions and policymakers that entrepreneurship promotion agenda should focus on improving perceived entrepreneurial support and considering the gender of students. (shrink)

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Longitudinal diagnostic classification models (DCMs) with hierarchical attributes can characterize learning trajectories in terms of the transition between attribute profiles for formative assessment. A longitudinal DCM for hierarchical attributes was proposed by imposing model constraints on the transition DCM. To facilitate the applications of longitudinal DCMs, this paper explored the critical topic of the Q-matrix design with a simulation study. The results suggest that including the transpose of the R-matrix in the Q-matrix improved the classification accuracy; ten-item tests measuring three (...) linear attributes across three time points provided satisfactory classification accuracy for low-stakes assessment. Educational implications and future directions were discussed. (shrink)

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Through an analysis of survey data gathered from private firms in China, this study examines the impact of employee protection on corporate innovation ability. The results indicate that firms with more advanced employee protection have stronger innovation ability. Furthermore, the positive relationship between employee protection and corporate innovation ability is more pronounced in those enterprises with labor unions. Finally, a firm’s political connections strengthen the influence of employee protection on corporate innovation. These empirical findings highlight the positive consolidating effects of (...) labor unions and political connections and will be of value to policy makers in emerging markets in gauging the important drivers of corporate innovation ability. (shrink)

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The car-sharing system is a popular rental model for cars in shared use. It has become particularly attractive due to its flexibility; that is, the car can be rented and returned anywhere within one of the authorized parking slots. The main objective of this research work is to predict the car usage in parking stations and to investigate the factors that help to improve the prediction. Thus, new strategies can be designed to make more cars on the road and fewer (...) in the parking stations. To achieve that, various machine learning models, namely vector autoregression, support vector regression, eXtreme gradient boosting, k-nearest neighbors, and deep learning models specifically long short-time memory, gated recurrent unit, convolutional neural network, CNN-LSTM, and multilayer perceptron, were performed on different kinds of features. These features include the past usage levels, Chongqing’s environmental conditions, and temporal information. After comparing the obtained results using different metrics, we found that CNN-LSTM outperformed other methods to predict the future car usage. Meanwhile, the model using all the different feature categories results in the most precise prediction than any of the models using one feature category at a time. (shrink)

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Includes translations of the important manuscripts in silk found at the famous Mawangdui Tomb in 1973.

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Functional language has been used in many multinational corporations as a way to overcome the problems caused by the coexistence of multiple languages in the workplace. The existing literature has explored the importance, adoption, and effectiveness of functional language. Yet, how functional language shapes host country employees’ moral cognition and behavior is insufficiently researched. Guided by the Social Identity Theory, this manuscript shows that host country employees’ functional language proficiency enhances their unethical pro-organizational behavior through their linguistic group identification and (...) moral disengagement. We tested our predictions using the data collected from 309 full-time host country employees through an online survey, and the results generally supported our hypotheses. The findings make contributions to both international management and language literature and organizational moral behavior literature. (shrink)

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With the continuous development and improvement of Internet media technologies in China, the influence of livestream e-commerce is becoming increasingly prominent, and an increasing number of people are engaging in consumption activities in this field. It is important to study consumer stickiness in livestream e-commerce to promote economic structure adjustment and innovation-driven development. Therefore, in this study, we adopted the expectation confirmation theory as the theoretical framework and analyzed the ECT and stickiness. The study considered satisfaction as the previous influencing (...) factor of user and consumer stickiness, replaced the continuance intention in the expectation confirmation model with consumer stickiness as the explanatory variable, introduced the variable of perceived playfulness as the value perception after user experience, and established a consumer stickiness factors model. A total of 262 valid questionnaires were collected in this study, and SmartPLS analysis along with interviews were used to justify the limitations of data analysis. The results of the study demonstrated a significant effect of perceived usefulness and confirmation on satisfaction, a significant effect of confirmation on perceived usefulness, a significant effect of satisfaction on stickiness, and a significant effect of confirmation on perceived playfulness. Based on findings from the data analysis and interviews, we further proposed rationalized recommendations, and aimed to provide some theoretical guidance for future research on live streaming. (shrink)

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