The economic stability of a country, such as Pakistan is dependent on the construction of mega-projects, such as the China-Pakistan Economic Corridor. However, certain external factors and project characteristics may delay the construction of infrastructure projects; scholars have not investigated the development of CPEC from this perspective. In addition, the COVID-19 outbreak has hindered CPEC initiatives. This analysis will examine the effect of external environment factors on CPEC, and benchmark the project’s effects on economic stability through CPEC’s development by incorporating (...) 523 samples obtained from employees of various CPEC projects. Structural equation modeling was used to analyze all hypotheses proposed here on AMOS 21.0 tools. According to the findings of this study, the CPEC external environment and project benchmark characteristics have a negative effect on the construction of CPEC development. Furthermore, the development of CPEC is found to have a significant effect on economic stability. However, fear of COVID-19 has weakened the relationship between CPEC development and economic stability. Finally, we also discuss the implications and limitations of the study. (shrink)

This study examined how social media marketing activities influence consumers’ engagement behaviour in developing countries. Based on the stimulus-organism-response theory, we examined the effect of SMMA on consumers’ engagement intention and further investigated the moderating effect of social media sales intensity. The study employed a time-lagged design with two waves to confirm the hypothesised framework. The study findings showed that SMMA positively influence consumers’ engagement intention and engagement behaviour. In addition, social media sales intensity strengthens the link between engagement intention (...) and engagement behaviour. This study adds to the literature on social media and discusses its practical implications. (shrink)

In this review, we provide an overview of the dynamic changes within the microbiota and its metabolites that are implicated in establishing and maintaining gastrointestinal homeostasis during various stages of microbial colonization. The gradual conversion of the gut microbiota toward a mutualistic microbial community involves replacement of pioneer gut colonizers with bacterial taxa that are characteristic for the adult gut. An important microbial signature of homeostasis in the adult gut is the prevalence and activity of a diverse spectrum of bacterial (...) species that produce beneficial metabolites through metabolic interactions between microbial groups. Deciphering these microbial signatures and their metabolites that govern short and long‐term equilibrium, as well as imbalances in host‐microbial relationships, may provide novel diagnostic tools and/or therapeutic targets for specific disorders associated with intestinal dysbiosis and loss of homeostasis. (shrink)

Despite the rising interest in environmental strategies, few studies have examined how managerial cognition of such strategies influences actual innovation capability development. Taking a managerial cognition perspective, this study investigates how managers’ perceptions of institutional pressures relate to their focus on proactive environmental strategy, which in turn affects firms’ realized innovation capability. The findings from a primary survey and three secondary datasets of publicly listed companies in China reveal that managers’ perceived business and social pressures are positively associated with their (...) focus on proactive environmental strategy, which consequently fosters innovation capability development. Moreover, state ownership and government administrative control weaken the impact of managerial focus on proactive environmental strategy on innovation capability. These findings have important implications for how managerial cognition supports environmental strategy and organizational capability building under the influence of institutional pressures and government intervention. (shrink)

In this commentary, we point to guidelines for performing human neuroimaging studies and their reporting in microbiota-gut-brain articles. Moreover, we provide a view on interpretational issues in MGB studies, with a specific focus on gut microbiota–derived metabolites. Thus, extending the target article, we provide recommendations to the field to increase reproducibility and relevance of this type of MGB study.

We provide the first comprehensive and robust evidence on the relationship between CSR disclosure quality and the costs of corporate bonds in China. We find that firms with high CSR disclosure quality are associated with lower costs of corporate bonds. Our findings are robust to endogeneity issues arising from reverse causality, omitted variable bias, and the interdependencies between price and non-price terms. The negative relationship between CSR disclosure quality and the costs of corporate bonds is stronger in weak corporate governance (...) firms and in firms located in regions with weak institutional environments. We also find that firms’ misconduct significantly mitigates the influence of CSR disclosure quality. In the additional analyses, we provide evidence that CSR disclosure can offer incremental information beyond the credit ratings. Regarding non-price terms, we conclude that firms with higher quality of CSR information are less likely to be subject to collateral terms, but they tend to include more restrictive covenants. Further analyses also show that compared with low-quality or mandatory CSR disclosure firms, bond investors perceive firms with CSR disclosures rated above “A” categories or voluntary CSR disclosure as less likely to cause asymmetric information problems and thus charge lower risk premiums. Overall, this study demonstrates that CSR disclosure quality is an important determinant that affects both price and non-price bond contract terms. (shrink)

This study examined the relations between properties of attentional networks and Mind Wandering across individuals. For the attentional networks, we measured three components of attention, known as alerting, orienting, and executive control, using the Attention Network Test . To investigate MW, we measured thought probes embedded in the Sustained Attention to Response Task . Moreover, four performance characteristics of the SART were calculated as behavioral indices of MW. Three of them showed significant associations with probed MW. Most research regarding MW (...) focused on its relation to executive functions, while the present study revealed that MW, as indexed by self-reports and RT variability, was negatively correlated with orienting, specifically the exogenous orienting system. Furthermore, there was a positive association between RT variability and executive control. Our results suggest that individuals with higher tendency of MW are less sensitive to irrelevant external stimuli, supporting the decoupling hypothesis of MW. (shrink)

Spatial communications are essential to the survival and social interaction of human beings. In science fiction and the near future, robots are supposed to be able to understand spatial languages to collaborate and cooperate with humans. However, it remains unknown whether human speakers regard robots as human-like social partners. In this study, human speakers describe target locations to an imaginary human or robot addressee under various scenarios varying in relative speaker–addressee cognitive burden. Speakers made equivalent perspective choices to human and (...) robot addressees, which consistently shifted according to the relative speaker–addressee cognitive burden. However, speakers’ perspective choice was only significantly correlated to their social skills when the addressees were humans but not robots. These results suggested that people generally assume robots and humans with equal capabilities in understanding spatial descriptions but do not regard robots as human-like social partners. (shrink)

This paper studies the problems of tip position regulation and vibration suppression of flexible manipulators without using the model. Because of the two-timescale characteristics of flexible manipulators, applying the existing model-free control methods may lead to ill-conditioned numerical problems. In this paper, the dynamics of a flexible manipulator is decomposed into two subsystems which are linear and controllable at different timescales by singular perturbation theory and a model-free composite controller is designed to alleviate the ill-conditioned numerical problems. To do this, (...) a model-free composite control strategy is constructed which facilitates in designing the controller in slow and fast timescales. In the slow timescale, the slow subsystem controller is designed by adaptive dynamic programming based on the measurements of the slow inputs and the position, while the vibration in the slow timescale is estimated by the least square method. In the fast timescale, the vibration is reconstructed based on the measurements of vibration and its estimate in the slow timescale, by which the fast controller is designed using ADP. Stability of the closed-loop system is proved by SP theory. Finally, simulations are given to show the feasibility and effectiveness of the proposed methods. (shrink)

With the increasing level of internationalization in higher education, the number of international students in mainland China is rapidly increasing. However, limited research has considered that student results may be affected by a reduced motivation to learn. Therefore, the aim of this research is to explore the effect of the learning motivation on the learning outcomes of international students and the moderating role of learning experience. A sample of 130 international students from 23 countries studying in mainland China was analyzed. (...) The study found a significant correlation between the learning motivations and international students' learning outcomes. It was also determined that learning experience has significantly enhances the relationship between learning motivation and the learning outcomes of international students. This study contributes to the higher education literature of on learning motivation by students and learning outcomes. (shrink)

This paper examines how drawing classes can contribute to moral education in primary schools. This paper uses class observation, interviews with teachers and students, and analysis of students’ wor...

In this article, we offer a critical realist conception of curriculum that aims to cultivate critical thinking (CT) and liberate students from egocentric rationality. We first examine egocentric rationality as a problem emerging from the technicist paradigm of cultivating CT in higher education, exemplified by issues arising from the pedagogical activity of debate. We then examine existing approaches to cultivating CT, focusing on the extent to which their goals and conceptions of CT could liberate students from egocentric rationality. Drawing on (...) Roy Bhaskar’s stratified conception of being and principle of immanent critique, we offer a critical realist conception of curriculum, explaining its definition of CT as the capacity for self-critique. We shall illustrate, in the context of an undergraduate debate course, how such capacity can be developed in order to liberate students from egocentric rationality. Curriculum is thus a critical praxis, a created space where student’s CT develops in a way that is intrinsically entwined with their being and becoming. This article extends the philosophical basis for integrating CT with curriculum and offers pedagogical implications. (shrink)

Community detection is one of the key research directions in complex network studies. We propose a community detection algorithm based on a density peak clustering model and multiple attribute decision-making strategy, TOPSIS. First, the two-dimensional dataset, which is transformed from the network by taking the density and distance as the attributes of nodes, is clustered by using the DBSCAN algorithm, and outliers are determined and taken as the key nodes. Then, the initial community frameworks are formed and expanded by adding (...) the most similar node of the community as its new member. In this process, we use TOPSIS to cohesively integrate four kinds of similarities to calculate an index, and use it as a criterion to select the most similar node. Then, we allocate the nonkey nodes that are not covered in the expanded communities. Finally, some communities are merged to obtain a stable partition in two ways. This paper designs some experiments for the algorithm on some real networks and some synthetic networks, and the proposed method is compared with some popular algorithms. The experimental results testify for the effectiveness and show the accuracy of our algorithm. (shrink)

Music is the universal language of mankind. The process of learning music can be understood as the process of constantly copying and spreading cultural memes. The term "mime" here comes from meme theory, which is a theory that studies cultural imitation and aims to explore the evolutionary model of cultural information dissemination. According to the principle of meme theory, music education itself is a process of cultural dissemination, which is transmitted to different meme carriers through imitation and replication. At present, (...) music education, especially instrumental music education, focuses on teaching performance skills, so there are many performers and educators who "only focus on skills". The author believes that this process should be based on the transmission of metaphysical music culture to be more in line with the philosophical meaning of education? Is education based on meme theory more effective? In order to verify this view, the author selected 20 students from a primary school and conducted a piano teaching experiment lasting 7 months. In the end, it was proved that the piano teaching model of " listening, reading, and playing" based on meme theory has a more benign improvement on students, and also revealed the philosophical significance of music education under the perspective of meme theory and the practical path of the future development of music education. (shrink)

With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. However, because multitasking contains the interference problem faced by the translated text, there is a big gap between recognition performance and actual application requirements. Aiming at multitasking and translation text detection, this paper proposes a text localization method based on multichannel multiscale detection (...) of the largest stable extreme value region and cascade filtering. This paper selects the appropriate color channel and scale to extract the maximum stable extreme value area as the character candidate area and designs a cascaded filter from coarse to fine to remove false detections. The coarse filter is based on some simple morphological features and stroke width features, and the fine filter is trained by a two-recognition convolutional neural network. The remaining character candidate regions are merged into horizontal or multidirectional character strings through the graph model. The experimental results on the text data set prove the effectiveness of the improved deep learning network character model and the feasibility of the textual implication translation analysis method based on this model. Among them, the text contains translation character recognition results prove that the model has good description ability. The characteristics of the model determine that this method is not sensitive to the scale of the sliding window, so it performs better than the existing typical methods in retrieval tasks. (shrink)

In order to provide a unified framework for studying non-commutative algebraic logic, Rump and Yang used three axioms to define quantum B-algebras, which can be seen as implicational subreducts of quantales. Based on the work of Rump and Yang, in this paper we shall continue to investigate the properties of three axioms in quantum B-algebras. First, using two axioms we introduce the concept of generalized quantum B-algebras and prove that the opposite of the category GqBAlg of generalized quantum B-algebras is (...) equivalent to the category LogPQ of logical pre-quantales, but we can not prove that pre-quantales can be used as the injective objects in GqBAlg. Next, we use one axiom to propose the concept of C-algebras and show that a C-algebra is a group if and only if each of its elements is dualizing. Further, by dualizing elements of a C-algebra X, we can define different binary operations on X such that X is a moniod. Finally, we by the Zig–Zag relation discuss some properties of quantum B-algebras. (shrink)

Users’ non-sustainable consumption behaviors are affecting the sustainability of access-based services, but ABS firms can utilize messaging strategies to persuade users to curtail their non-sustainable consumption behaviors. Through two online scenario-based experiments in China, this study determined that: Compared with rational appeal messaging, emotional appeal messaging is better able to persuade consumers to curtail non-sustainable consumption behaviors. Furthermore, loss-framed messages are more effective than gain-framed ones. Message appeal and message framing have an interactive persuasive effect on reducing such consumer behaviors. (...) Loss-framed rational appeal messages are more persuasive at reducing non-sustainable consumption behaviors than gain-framed rational appeal messages, and gain-framed emotional appeal messages persuade consumers to reduce non-sustainable consumption behaviors more than loss-framed ones. Consumers’ psychological ownership moderates the persuasive effect of messaging. Among consumers with a high level of psychological ownership of shared goods, only gain-framed emotional appeal messaging is effective at reducing non-sustainable consumption behaviors, whereas among consumers with low psychological ownership, the persuasive effect of loss-framed rational appeal messaging is more effective than gain-framed emotional appeal messaging. This study extends the research on non-sustainable consumption behavior management in ABSs and provides important inspiration for the management of ABSs consumer behavior. (shrink)

Automated reasoning issues are addressed for a finite lattice-valued propositional logic LnP(X) with truth-values in a finite lattice-valued logical algebraic structure—lattice implication algebra. We investigate extended strategies and rules from classical logic to LnP(X) to simplify the procedure in the semantic level for testing the satisfiability of formulas in LnP(X) at a certain truth-value level α (α-satisfiability) while keeping the role of truth constant formula played in LnP(X). We propose a lock resolution method at a certain truth-value level α (α-lock (...) resolution) in LnP(X) and have proved its theorems of soundness and weak completeness, respectively. We provide more efficient resolution based automated reasoning in LnP(X) and key supports for α-resolution-based automated reasoning approaches and algorithms in lattice based linguistic truth-valued logic. (shrink)

ObjectiveThis systematic review aims to make a mixed comparison of interventions for kinesiophobia and individuals with musculoskeletal pain.MethodsA comprehensive search strategy was conducted in the database of PubMed, MEDLINE, and Web of Science with the inclusion criteria: randomized controlled design; patients with musculoskeletal pain as participants; treatments protocols of kinesiophobia as interventions or comparisons; the score of Tampa Scale Kinesiophobia as outcome measures. A network meta-analysis was used to synthesize the data after checking the model consistency. The risk of bias (...) was assessed by the Cochrane Collaboration Risk of Bias Assessment Tool.ResultsThirty-one studies were included in this review after a comprehensive search strategy with a low risk of bias and good consistency. According to the results of the network meta-analysis, a multi-modal treatment protocol had the highest probability to become the best choice in dealing with kinesiophobia caused by musculoskeletal pain, whereas psychological treatment protocols also showed a potentially positive effect on musculoskeletal pain-induced kinesiophobia.ConclusionMulti-modal protocols could be recommended as the preferred option when dealing with kinesiophobia caused by musculoskeletal pain. However, it is still worth mentioning that there are also potentially positive therapeutic effects of psychological interventions. Since the concept of kinesiophobia is based on the fear-avoidance model, the psychological mechanism should be paid enough attention to during treatment.Registration NumberCRD42021286450. (shrink)

Riben Jiuzhou da xue tu shu guan cang you gu xie Huizhou ben "Zhuzi yu lei" yi bai si shi juan. Huizhou ben shang cheng "Chi lu", xia qi li bian, zai yu lu dao yu lei de xing cheng guo cheng zhong chu yu guan jian de di wei, dui xue jie yan jiu zhu xi si xiang de xing cheng guo cheng, Zhu Xi men ren de qing kuang, jin ben "Zhuzi yu lei" de xing cheng guo cheng (...) yi ji zhong gu shi qi gu Han yu bai hua, ti gong le xin de cai liao he xin de shi ye. (shrink)

Autonomous underwater vehicles are widely used to accomplish various missions in the complex marine environment; the design of a control system for AUVs is particularly difficult due to the high nonlinearity, variations in hydrodynamic coefficients, and external force from ocean currents. In this paper, we propose a controller based on deep reinforcement learning in a simulation environment for studying the control performance of the vectored thruster AUV. RL is an important method of artificial intelligence that can learn behavior through trial-and-error (...) interactions with the environment, so it does not need to provide an accurate AUV control model that is very hard to establish. The proposed RL algorithm only uses the information that can be measured by sensors inside the AUVs as the input parameters, and the outputs of the designed controller are the continuous control actions, which are the commands that are set to the vectored thruster. Moreover, a reward function is developed for deep RL controller considering different factors which actually affect the control accuracy of AUV navigation control. To confirm the algorithm’s effectiveness, a series of simulations are carried out in the designed simulation environment, which is a method to save time and improve efficiency. Simulation results prove the feasibility of the deep RL algorithm applied to the control system for AUV. Furthermore, our work also provides an optional method for robot control problems to deal with improving technology requirements and complicated application environments. (shrink)

With the rapid development of urbanization, the urban expansion morphology has been changing with complex driving mechanisms behind the urban evolution process. This article simulates the results of urban land development contingent upon decision-makers’ risk preferences and reveals the inherent law of the effect of risk preferences on urban expansion morphology. Results show that cautious decision-makers lead to the urban expansion morphology being relatively compact, and the reckless decision-makers lead the urban expansion to sprawl. Moreover, there are obvious differences in (...) strengths of planning constraints on the decision-makers with different risk preferences. The reckless decision-makers, driven by the economic interests, are more likely to break through the planning, especially when the planning is not reasonable. It is also found that enhancing executive ability of planning for the reckless decision-makers can promote compactness of the urban expansion morphology. However, the effect of enhancing executive ability of planning on the cautious decision-makers is limited. Thus, in the case of unreasonable planning, the executive ability of planning to the reckless decision-makers should be enhanced so as to avoid urban sprawl. (shrink)

In the analysis of Shaanxi Red Tourism Development status and existing problems, based on the proposed development of red tourism strategic positioning, strategic objectives and strategic measures, through the implementation of the "1312 Project", that is to cultivate a red tourism capital, northern Shaanxi, Guanzhong , 3 large red tourism sector in southern Shaanxi, and 12 fine line, as the red following the Warriors travel to create a new ace after the Shaanxi tourism products. Based on the analysis of the (...) current situation of Shaanxi red-tourism development, strategic positioning, goals and corresponding measures of developing Shaanxi red-tourism are put forward. Through implementing the project of 1312, which stands for one red-tourism center, three red -tourism regions and twelve red-tourism routes, the red-tourism products of Shaanxi would become new trump tourism products. (shrink)