Companies take project-based management as their organizational strategy, and project quality assurance plays a vital role in improving customer satisfaction and enhancing corporate image. Starting from the perspective of optimizing project quality, this paper assigns different quality influencing factors to each project and each task of the project, divides the labor resources shared by multiple projects in the enterprise according to the skill level, and transforms the problem of project quality optimization. The problem of the highest skill level of labor (...) resources allocated to all projects of the enterprise is designed, and algorithms are designed to achieve the optimization of project quality through the optimal allocation of labor resources. The various links in this article are closely related to form a comprehensive, scientific, and systematic research system for optimal human resource allocation, human resource management, and development. Finally, case analysis is used to confirm the usability of the model and provide a quantitative method and perspective for project-oriented companies to allocate workforce. (shrink)

Intra-organization and inter-organization collaboration and governance are becoming increasingly important for megaprojects. Different stakeholders form intricate links in a network structure. This study explores the role and effect of hybrid governance on complex network projects, such as urban rail transit projects. This included conducting a questionnaire survey with 116 professionals from organizations involved in urban rail transit projects and adopting structural equation modelling to analyze the data. The results analyzed the levels of intra-organization and inter-organization trust under the conditions of (...) power asymmetry and power sharing. A higher level of power asymmetry was associated with lower hybrid governance performance. In contrast, a higher level of power sharing is associated with better hybrid governance performance. The results are generalizable to other projects with complicated organizational and network relationships. (shrink)

The Arf family proteins are best known for their roles in the vesicle biogenesis. However, they also play fundamental roles in a wide range of cellular regulation besides vesicular trafficking, such as modulation of lipid metabolic enzymes, cytoskeleton remodeling, ciliogenesis, lysosomal, and mitochondrial morphology and functions. Growing studies continue to expand the downstream effector landscape of Arf proteins, especially for the less‐studied members, revealing new biological functions, such as amino acid sensing. Experiments with cutting‐edge technologies and in vivo functional studies (...) in the last decade help to provide a more comprehensive view of Arf family functions. In this review, we summarize the cellular functions that are regulated by at least two different Arf members with an emphasis on those beyond vesicle biogenesis. (shrink)

The discovery of a stable latent reservoir for HIV‐1 in resting memory CD4+ T cells provides a mechanism for lifelong persistence of HIV‐1. The long‐lived latently infected cells persist in spite of prolonged highly active antiretroviral therapy and present a major barrier to a cure of HIV‐1 infection. In this review, we discuss the current understanding of HIV‐1 persistence and latent viral infection in the context of effective antiretroviral therapy and the recent progress in purging latent viral reservoirs. Recent (...) studies demonstrate that reactivation of latent HIV‐1 is a promising strategy for the depletion of these viral reservoirs. A thorough evaluation of the anti‐latency activity of drug candidates should include the measurement of changes in intracellular viral RNA, plasma virus levels, and the size of latent viral reservoirs, as well as potential adverse effects. Currently, there are several technical barriers to the evaluation of anti‐latency drugs in vivo. We also discuss these challenging issues that remain unresolved. (shrink)

For quite a long time, “Li Li-san Line” has been the target of criticism as being typical of wrong lines by Chinese Communist Party (CCP). However, under the subjective and objective circumstance at that time, it wasn’t by accident that CCP released this line. Regardless of its victory or defect in the history, and only considering behaviors of CCP leaders in the formulation and implementation of the entire line, this was a god-given and independent trial by CCP leaders to (...) resolve revolution in China in its infancy and under the strong controlling force of Comintern. (shrink)

Objectives: The corona virus disease-2019 pandemic spread globally, and we aimed to investigate the psychosocial impact on healthcare workers in China during the pandemic.Methods: In this systematic review and meta-analysis, we searched seven electronic databases for cross-sectional studies on psychosocial impact on HWs in relation to COVID-19 from January 1, 2020 to October 7, 2020. We included primary studies involving Chinese HWs during the pandemic, and data were extracted from the published articles. Our primary outcome was prevalence of anxiety, depression, (...) and stress disorders. We pooled prevalence value with their 95% confidence interval using random effect models and assessed study quality on the basis of an 11-item checklist recommended by the Agency for Healthcare Research and Quality. The study protocol was registered in PROSPERO.Results: We identified 25 articles comprising a total of 30,841 completed questionnaires and 22 studies for meta-analysis. The prevalence of anxiety, depression, and stress disorders was 34.4%, 31.1%, and 29.1% for HWs. The pooled prevalence of anxiety disorders for HWs from late January to early February was 46.4%, significantly higher than those in mid-term February and after late February. The pooled prevalence of depression disorders for HWs from late January to early February was 46.5%, significantly higher than those in mid-term February and after late February. HWs working in Hubei Province had a higher prevalence of anxiety and a lower prevalence of depression than those working in other regions. Nurses had a higher prevalence of anxiety and depression than other HWs.Conclusions: About one-third of HWs in China suffered anxiety, depression, and stress at the early epidemic of COVID-19. HWs in Hubei Province, especially nurses, had a higher prevalence of psychological disorders. During the pandemic, a negative psychological state may persist in a proportion of Chinese HWs, fluctuating with the control of the pandemic. The long-term impact should continue to be observed. Attention should be paid to HWs for their psychological impact due to the pandemic.Systematic Review Registration: The study protocol was registered with PROSPERO. (shrink)

We examine the effect of the cross-border merger and acquisition (M&A) activities of Chinese firms on their corporate social responsibility (CSR) performance. We find that Chinese acquirers significantly increase CSR performance and CSR spending following cross-border M&As. The legal origins and social norms of host countries are found to positively affect the acquirers’ CSR performance and CSR spending in the post-M&A period. The results are consistent with Chinese acquirers signaling their commitment toward CSR through cross-border M&As to respond to diverse (...) stakeholder demands and strengthen corporate reputation. We also provide evidence that Chinese firms’ knowledge acquisition through cross-border M&As boosts green innovation. In addition, we show that the financial performance of Chinese acquirers does not suffer in the long term, indicating that strategic CSR investments can be integrated with other corporate investment activities. Our study demonstrates how cross-border M&As affect stakeholder value beyond value for shareholders. (shrink)

Does inner sense, like outer sense, provide inner sensations or, in other words, a sensory manifold of its own? Advocates of the disparity thesis on inner and outer sense claim that it does not. This interpretation, which is dominant in the preexisting literature, leads to several inconsistencies when applied to Kant’s doctrine of inner experience. Yet, while so, the parity thesis, which is the contrasting view, is also unable to provide a convincing interpretation of inner sensations. In this paper, I (...) argue that this deadlock can be traced back to an inadequate understanding of inner sense shared by both sides. Drawing upon an analysis of the notion of obscure representations, I offer an alternative interpretation of inner sense with a special regard to self-affection, apprehension, and attention. From this basis, I will infer that outer sense delivers sensory content that is initially and intrinsically unaccompanied by phenomenal consciousness; inner sense contributes by endowing such content with phenomenal consciousness. Therefore, phenomenal qualities can be regarded as the sensory manifold of inner sense. This alternative interpretation solves the long-standing dispute concerning inner sensations and would further illuminate Kant’s notion of inner experience. (shrink)

What allows MNCs to maintain their sustainability practices over the long-term? This is an important but under-examined question. To address this question, we investigate both the development and sustenance of sustainability practices. We use the dynamic capabilities perspective, rooted in resource-based view literature, as the theoretical basis. We argue that MNCs that simultaneously pursue both higher R&D intensity and higher internationalization are more capable of developing and maintaining sustainability practices. We test our hypotheses using longitudinal panel data from 1989 (...) to 2009. Results suggest that MNCs that have a combination of both high R&D intensity and high internationalization are (i) likely to develop more sustainability practices and (ii) are likely to maintain more of those practices over a long-term. As a corollary, MNCs that have a combination of both low R&D and low internationalization usually (i) end up developing little or no sustainability practices and (ii) find it difficult to sustain whatever little sustainability practices they might have developed. (shrink)

Trust in government and social cohesion are crucial guarantees for long-term social stability. With the development of the Internet, cross-border flows of information have become increasingly easier, enabling more factors to influence people’s political perceptions and loyalty. This study explores the mechanism of governments’ impression management behaviors on trust in government and social cohesion using the questionnaire survey with college students in Shanghai as the research subjects. Impression management strategies are classified into promotive ones and protective ones herein based (...) on the social psychology theory. The results indicate that both promotive and protective impression management strategies take by governments positively affect citizens’ loyalty, and loyalty positively affects citizens’ social cohesion and the level of trust in government; moreover, the level of trust in government positively affects social cohesion. These findings provide implications for boosting the sound development of China’s political society during the transition period. (shrink)

Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor performance. To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short-term memory, and deep neural network. This model utilizes DCNN to reduce frequency variation and adds a batch normalization layer after its convolutional layer to (...) ensure the stability of data distribution, and then use LSTM to effectively solve the gradient vanishing problem. Finally, the fully connected structure of DNN is utilized to efficiently map the input features into a separable space, which is helpful for data classification. Therefore, leveraging the strengths of DCNN, LSTM, and DNN by combining them into a unified architecture can effectively improve speech recognition performance. Our model was tested on the open Chinese speech database THCHS-30 released by the Center for Speech and Language Technology of Tsinghua University, and it was concluded that the DLD model with 3 layers of LSTM and 3 layers of DNN had the best performance, reaching 13.49% of words error rate. (shrink)

Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train, owing to the fact that different types of fault signals have similar characteristics in the same frequency range. Notice that convolutional neural networks are powerful in extracting high-level local features and that recurrent neural networks are capable of learning long-term context dependencies in vibration signals. In this paper, by combining CNN and RNN, a so-called convolutional recurrent neural network is proposed to diagnose various faults (...) of the HST bogie, where the capabilities of CNN and RNN are inherited simultaneously. Within the novel architecture, the proposed CRNN first filters out the features from the original data through convolutional layers. Then, four recurrent layers with simple recurrent cell are used to model the context information in the extracted features. By comparing the performance of the presented CRNN with CNN, RNN, and ensemble learning, experimental results show that CRNN achieves not only the best performance with accuracy of 97.8% but also the least time spent in training model. (shrink)

Hegel's natural philosophy is an integral part of his objective idealist philosophical system, is his encyclopedic narration of all the achievements in the natural sciences attained up to the early years of the nineteenth century. Only after a long process of distillation did he tie together his philosophy of thought and of natural science to establish his rich and comprehensive natural philosophy. His On the Orbits of the Planets , written to secure his teaching credentials for the University of (...) Jena, marked the opening phase in the process of the formation of his philosophical thought on nature. Hegel's Philosophical Manuscripts written at the University of Jena and his Philosophy Primer compiled at the Gymnasium in Nuremberg represent his important transitional middle period. Part II of the Encyclopedia of Philosophy , from his lectures at the University of Heidelberg, was his already distilled and mature Natural Philosophy. (shrink)

In February 2020, the coronavirus disease 2019 appeared and spread rapidly in Italy. With the health emergency and social isolation, parents started spending more time with their children, and they might have experienced greater distress. Attachment style is considered as an effective emotion regulation strategy in the parent–child relationship. However, few empirical studies have addressed this issue. Based on attachment theory, this study aimed to find parental attachment style as a candidate to moderate the relation between parents’ negative emotions and (...) their perceptions of their children’s negative emotions related to COVID-19. Parents of 838 Italian children and adolescents aged 3 to 18 years participated in an online survey. Results showed that parents with a fearful attachment style had significantly higher negative emotions when facing COVID-19 than those with other attachment styles. Moreover, parents with a dismissing attachment style perceived fewer negative emotions in their children than parents with fearful and preoccupied styles. At last, higher parents’ negative emotions were associated with greater perception of children’s negative emotions only in parents classified as secure and fearful. These findings suggest that parents with dismissing and fearful attachment styles and their children may be at higher risk during the COVID-19 pandemic and they should be given long-term attention. (shrink)

The quality and quantity of training data are crucial to the performance of a deep-learning-based brain-computer interface system. However, it is not practical to record EEG data over several long calibration sessions. A promising time- and cost-efficient solution is artificial data generation or data augmentation. Here, we proposed a DA method for the motor imagery EEG signal called brain-area-recombination. For the BAR, each sample was first separated into two ones by left/right brain channels, and the artificial samples were generated (...) by recombining the half-samples. We then designed two schemas corresponding to the single- and multi-subject scenarios. Extensive experiments using the classifier of EEGnet were conducted on two public datasets under various training set sizes. In both schemas, the BAR method can make the EEGnet have a better performance of classification. To make a comparative investigation, we selected two common DA methods, and the BAR method beat them. Further, using the proposed BAR for augmentation, EEGnet achieved up to 8.3% improvement than a typical decoding algorithm CSP-SVM, note that both the models were trained on the augmented dataset. This study shows that BAR usage can significantly improve the classification ability of deep learning to MI-EEG signals. To a certain extent, it may promote the development of deep learning technology in the field of BCI. (shrink)

Hemispherical Resonator Gyro is a new type gyro with high precision, high reliability, shock resistance, no need of preheating, short start time, and long life. It is a kind of vibrating gyro with standing wave rotating along the sensitive base of annular precession, has a unique application prospect in the field of high precision inertial sensors, and is widely used in unmanned aerial vehicle control in complex environments. Based on the theory of the structure characteristics of the hemispherical resonator, (...) the mathematical model of energy of the resonator is established to research the rule of resonant frequency when the hemispherical resonator is rotated around the central axis. In this paper, the influence of precession factor, which are the top angle, the bottom angle, and wall unevenness of the hemispherical resonator, are analyzed. A series of hemispherical resonator models are constructed by ANSYS software to prove the results of theoretical research. The simulation results show that precession factor of the hemispherical resonator is more sensitive of the top angle than the bottom angle, and the error of angular velocity which is caused by the change of the top angle is larger than that which is caused by the change of the bottom angle. (shrink)

Dysfunctional customer behavior is common in service settings. For frontline employees, negative encounters can cause short-term despondency or have profound, long-term psychological effects that often result in both direct and indirect costs to service firms. Existing research has explored the influence of dysfunctional customer behavior on employee emotions, but it has not fully investigated the psychological mechanism through which customer misbehavior transforms into employee responses. To maintain service quality and employee well-being, it is important to understand the impact of (...) customer misconduct on employee emotions and its effect on subsequent service behavior. To assess the process through which dysfunctional customer behavior manifests as negative emotions in frontline service employees, and the influence of negative employee emotions on their prosocial service behavior, we surveyed 185 frontline banking service employees. We sought information on service employee experiences, attitudes, and feelings regarding dysfunctional customer behaviors, the perceived level of supervisor support, and employee prosocial service behavior intentions. Structural equation modeling and hierarchical linear modeling were used for statistical analysis and hypothesis verification. Results indicate that dysfunctional customer behavior has a positive relationship with bank service employee negative emotions and a negative influence on employee prosocial service behavior. The study found that negative emotions fully mediated the relationship between dysfunctional customer behavior and prosocial service behavior. The moderating role that perceived supervisor support plays on the relationships between dysfunctional customer behavior and negative emotion was also investigated. The results show that perceived supervisor support moderates the relationship between dysfunctional customer behavior and negative employee emotions. Finally, the study provides bank managers with effective strategies to assist frontline employees to manage and deter dysfunctional customer behavior, and presents employees with internal recovery strategies when encountering dysfunctional customer behavior. (shrink)

Attending cram school has long been a trend in ethnic Chinese culture areas, including Taiwan. Despite the fact that school reform policies have been implemented in Taiwan, cram schools have continued to prosper. Therefore, in this educational culture, how to achieve a good educational effect is also a topic worthy of discussion. However, whether students really engage in those tutoring programs provided by cram schools has seldom been studied. To address this gap, this study explored how parents’ hovering attitude (...) toward life and coursework influences their children’s engagement in cram schools. This study targeted those students who attend English cram schools to test the correlates between two types of helicopter parenting, tutoring engagement and continued attendance at cram schools. A total of 320 questionnaires were sent out, and 300 were returned, giving an overall response rate of 93.75%. Excluding seven incomplete or invalid questionnaires, 293 valid questionnaires were received. The results of this study show that hovering behavior awareness is negatively related to cram school engagement, whereas cram school engagement is positively related to the intention to continue attending cram school. Moreover, the results imply that parents should alleviate their helicoptering behavior to enhance their children’s engagement in cram school tutoring programs. (shrink)

Different countries have different education systems and their advantages and disadvantages. It is necessary to optimize their own higher education system and formulate policy plans to fully realize the optimization of the higher education system. For this reason, we propose to establish a continuous evaluation model of higher education health. This study mainly uses principal component analysis and entropy weight method to determine the evaluation model of higher education health status and makes autoregressive moving average model time series analysis based (...) on the higher education evaluation model, which is obtained by studying long-term trends. The future development of education realizes the evaluation of sustainability. For Vietnam, that needs to be adjusted, the evaluation indicators based on the health status of the higher education system in developing countries will be added, tested, and adjusted and combined with the ARMA model prediction to determine the time period for the policy to meet reasonable expectations, and targeted development policies are proposed. Finally, we test the sensitivity of the established model, evaluate and analyze the advantages and disadvantages of the model, And combine the full text analysis to get the final conclusion. (shrink)

The long-tailed macaque (Macaca fascicularis fascicularis) is a non-human primate species that is native to Singapore. From mid-2020, the Nanyang Technological University campus witnessed a sharp increase in the number of human–macaque encounters. In this article, we will first identify a set of technological tools that we have developed to guide decision- and policy-making on the wildlife management front and mitigate human–macaque conflict. Thereafter, we will describe how we applied these tools to the activity log cataloguing the macaque activity (...) on campus and offer an analysis of the trends in macaque behaviour that may be shared with members of the public and affected residents. Among the results that will be discussed are the following: a significant decline in the number of macaque sightings at Student Residences over the weekend, a majority of the reported macaque sightings occurring in the early evening, no significant difference in the damage and proximity scores over time, and a trend in observed macaque activity at critical sleep-relevant time intervals and areas on campus. We hope that our approach will promote, through an improved and data-driven understanding of macaque behavioural trends, technology-assisted decision-making and a more harmonious co-existence between humans and macaques on campus and in Singapore. Last but not least, we anticipate further extensions of our approach with respect to other forms of wildlife. (shrink)

The long-tailed macaque (Macaca fascicularis fascicularis) is a non-human primate species that is native to Singapore. From mid-2020, the Nanyang Technological University campus witnessed a sharp increase in the number of human–macaque encounters. In this article, we will first identify a set of technological tools that we have developed to guide decision- and policy-making on the wildlife management front and mitigate human–macaque conflict. Thereafter, we will describe how we applied these tools to the activity log cataloguing the macaque activity (...) on campus and offer an analysis of the trends in macaque behaviour that may be shared with members of the public and affected residents. Among the results that will be discussed are the following: a significant decline in the number of macaque sightings at Student Residences over the weekend, a majority of the reported macaque sightings occurring in the early evening, no significant difference in the damage and proximity scores over time, and a trend in observed macaque activity at critical sleep-relevant time intervals and areas on campus. We hope that our approach will promote, through an improved and data-driven understanding of macaque behavioural trends, technology-assisted decision-making and a more harmonious co-existence between humans and macaques on campus and in Singapore. Last but not least, we anticipate further extensions of our approach with respect to other forms of wildlife. (shrink)

ObjectivePregnancy leads to long-lasting changes in brain structure for healthy women; however, little is known regarding alterations in the cortical features of pregnant women with malformed fetuses. Isolated clefts of the lip and/or palate (ICL/P) are the most common congenital anomaly in the craniofacial region, which is highly gene-associated. We speculated that pregnant women carrying fetuses with ICL/P may have associated risk genes and specific brain changes during pregnancy.MethodsIn this study, we investigated T1-weighted brain magnetic resonance imaging data from (...) 48 pregnant women: 24 women carrying fetuses with ICL/P (ICL/P group) and 24 women carrying normal fetuses (normal controls), then explored intergroup differences in gray matter volume (GMV), cortical thickness (CT) and cortical complexity (gyrification).ResultsCompared with controls, the ICL/P group had decreased total intracranial volume (TIV) than normal controls; besides, they exhibited increased GMV in the left cuneus, decreased GMV in the right superior temporal gyrus; increased CT in the left precuneus and left superior parietal gyrus, decreased CT involving parsopercularis, fusiform, middle temporal in the left hemisphere and supramarginal, precentral gyrus (PreCG) in the right hemisphere; increased gyrification in the left insula and PreCG, the left middle temporal, and the right supratemporal gyrus.ConclusionPregnant women with ICL/P fetuses had brain morphology changes involving language, auditory, vision, and sensory cortex, which may be their special brain changes compared to normal pregnant women. This study may provide clues for the early detection of fetuses with ICL/P, and be vital for preconception and prenatal counseling with non-invasive methods. (shrink)

Emotion recognition plays an important role in intelligent human–computer interaction, but the related research still faces the problems of low accuracy and subject dependence. In this paper, an open-source software toolbox called MindLink-Eumpy is developed to recognize emotions by integrating electroencephalogram and facial expression information. MindLink-Eumpy first applies a series of tools to automatically obtain physiological data from subjects and then analyzes the obtained facial expression data and EEG data, respectively, and finally fuses the two different signals at a decision (...) level. In the detection of facial expressions, the algorithm used by MindLink-Eumpy is a multitask convolutional neural network based on transfer learning technique. In the detection of EEG, MindLink-Eumpy provides two algorithms, including a subject-dependent model based on support vector machine and a subject-independent model based on long short-term memory network. In the decision-level fusion, weight enumerator and AdaBoost technique are applied to combine the predictions of SVM and CNN. We conducted two offline experiments on the Database for Emotion Analysis Using Physiological Signals dataset and the Multimodal Database for Affect Recognition and Implicit Tagging dataset, respectively, and conducted an online experiment on 15 healthy subjects. The results show that multimodal methods outperform single-modal methods in both offline and online experiments. In the subject-dependent condition, the multimodal method achieved an accuracy of 71.00% in the valence dimension and an accuracy of 72.14% in the arousal dimension. In the subject-independent condition, the LSTM-based method achieved an accuracy of 78.56% in the valence dimension and an accuracy of 77.22% in the arousal dimension. The feasibility and efficiency of MindLink-Eumpy for emotion recognition is thus demonstrated. (shrink)

This study develops a short Creative Expression Interest Scale among Chinese freshmen based on the perspective of item response theory. Nine hundred fifty-nine valid Chinese freshmen participated in the Creative Expression Interest survey. Researchers applied the initial data for unidimensionality, item fit, discrimination parameter, and differential item functioning to obtain a short CEIS. The results show that the Short CEIS meets the psychometric requirements of the IRT. Pearson correlation coefficient of theta between the short and long CEIS is 0.922. (...) The marginal reliability of the short CEIS is 0.799. These indicate that the short CEIS developed in this study among Chinese freshmen, meets the psychometric requirements. Although the Short CEIS can eliminate redundant, uninformative items, save time, and improve the quality of data collection. However, the validity of this short scale needs further validation. (shrink)

Within the long tradition of debating the role of tradition in modernity that has been central to the Western and Chinese experiences of modernity, I believe three possible attitudes toward the relation between modernity and tradition can be distinguished. The first regards them as essentially antithetical. Modernity is basically construed, from this first perspective, as a process of emancipation from a tradition perceived as limiting the human potential for liberty. The Enlightenment thinkers have generally been associated with this approach, (...) which I will call "anti-traditionalist."The second attitude offers a reversed image of the first. Modernity and tradition retain an essentially antithetical relation, but... (shrink)

本书包括“印度各宗概略”、“本体论”、“认识论”、“世间论”四篇,论述了印度各宗与宗教、唯心唯物论、有我无我论、知识本源之问题、宇宙缘起之说明、人生之说明等。.

本书选择并论述的美育范畴,较全面的反映了美育现代性。包括现代美育、审美个性、时间与空间、功利超越与文化超越等内容。.

There has been a major international focus on the education and care of toddlers. To date, empirical studies on adults’ interactions in play with toddlers have focussed on the proximity of teachers, teachers’ affective responses, and joint attention between adults and children in play. However, less attention has been given to the role of two teachers working together in supporting children’s exploration of concepts in joint play. This paper takes a cultural-historical perspective and draws upon the concepts of play and (...) subjective positioning to investigate how co-teaching promotes toddlers’ joint play and exploration of mathematical concepts. Visual data of a group of toddlers playing with two teachers is analysed to explore how the teachers applied co-teaching pedagogy to support children’s exploration of mathematical concept. The study argues that co-teaching provides potential to support collective play as two teachers can work collaboratively to address the toddlers’ challenges and needs and support their exploration of the rules and mathematical concepts in play. Co-teaching by paired teachers enables toddlers’ joint play to become more complex, helping the children to explore mathematical concepts and, in turn, further enhancing their play. (shrink)

Our paper draws attention to a neglected channel of corruption—the bribe payments by state-owned enterprises. This is an important phenomenon as bribe payments by SOEs fruitlessly waste national resources, compromising public welfare and national prosperity. Using a large dataset of 30,249 firms from 50 countries, we show that, in general, SOEs are less likely to pay bribes for achieving organizational objectives owing to their political connectivity. However, in deteriorated institutional environments, SOEs may be subjected to potential managerial rent-seeking behaviors, which (...) disproportionately increase SOE bribe propensity relative to privately owned enterprises. Specifically, our findings highlight the importance of fostering democracy and rule of law, reducing prevalence of corruption and shortening power distance in reducing the incidence of SOE bribery. (shrink)