With the fast expansion of urbanization, temporary migrants have become a large demographic in Chinese cities. Therefore, in order to enhance the social integration of the migrant population, scholars and policymakers have an urgency to investigate the influencing factors of the integration progress. Prior studies regarding social integration have neglected to examine this topic from the perspective of social participation. Empirical research is conducted based on the data of 15,997 migrants across eight cities in the 2014 wave of National Migrant (...) Population Dynamic Monitoring Survey in China. Hierarchical linear models were used to test the hypotheses regarding the impacts of formal social participation and informal social participation on social integration. Community type, neighbor composition, hometown pressure, withdrawal guarantee, and constraints of hukou were examined as moderators. FSP and ISP possess different features such as operating with distinct modes, providing different services. Members within the organizations also entail different rights and responsibilities, providing them with different types of social capital and psychological perceptions. Hence, this study strived to identify the effects of social participation behaviors on social integration from a social capital perspective. The results revealed that social participation is positively linked to social integration. We also distinguished between FSP and ISP of migrants to investigate the boundary effects of different types of social participation on social integration. The findings provide both theoretical and practical implications for scholars as well as policymakers on issues regarding the social integration of migrants. (shrink)

We study the mathematical properties of bilateral state-based modal logic (BSML), a modal logic employing state-based semantics (also known as team semantics), which has been used to account for free choice inferences and related linguistic phenomena. This logic extends classical modal logic with a nonemptiness atom which is true in a state if and only if the state is nonempty. We introduce two extensions of BSML and show that the extensions are expressively complete, and develop natural deduction axiomatizations for the (...) three logics. (shrink)

This article presents two studies that examine cause-related marketing promotions that require consumers’ active participation. Requiring a follow-up behavior has very valuable implications for maximizing marketing expenditures and customer relationship management. Theories related to ethical behavior, like motivated reasoning and defensive denial, are used to explain when and why consumers respond negatively to these effort demands. The first study finds that consumers rationalize not participating in CRM by devaluing the sponsored cause. The second study identifies a tactic marketers can utilize (...) to neutralize consumers’ use of defensive denial. Allowing the consumer to choose the sponsored cause seems to effectively refocus their attention and increases consumers’ threshold for campaign requirements. Implications for nonprofits and marketing managers include a tendency for consumers to be more likely to perceive a firm as ethical and socially responsible when they are allowed to choose the specific cause that is supported. (shrink)

_A wide ranging consideration of the work of contemporary ethicist David Wong._.

In order to explore the mechanism of consumer responses to corporate social responsibility, this paper constructs a research framework including CSR, consumer–company identification, consumer responses, and fit, and tests the framework using a scene-questionnaire survey. Empirical results demonstrate that CSR not only has positive influence on consumer purchase intention, recommend intention, and loyalty directly, but also has indirect positive influence on consumer purchase intention and recommend intention through CCI. The influencing process of CSR on CCI is moderated by fit and (...) the moderating direction is different owing to product types. For the products whose association preference is positive, fit can positively moderate the relationship between CSR and CCI, while for products whose association preference is negative, the moderating role will be negative. (shrink)

When the city of Wuhan was severely locked down on January 23, 2020 for 76 days due to the coronavirus outbreak, many residents started writing “lockdown diaries.” This article argues these diaries constitute a kind of performance art for their authors, specifically, an 'art of endurance' as described by Shalson (2018). Keeping a diary requires a plan, but the following through of the plan is a contingent process requiring efforts and endurance. The challenges become particularly daunting for authors of online (...) diaries in pandemic times. The article analyzes multiple types of endurance associated with the Wuhan lockdown diarists, showing that in digitally-driven environments, where potential collective responses are a key context, the lockdown diaries of Wuhan, like works of endurance art, engage with meanings that reach far beyond their original experience and context. Their stories of endurance are an allegory of the endurance of the entire city of Wuhan. (shrink)

We recast parts of decision theory in terms of channel theory concentrating on qualitative issues. Channel theory allows one to move between model theoretic and language theoretic notions as is necessary for an adequate covering. Doing so clarifies decision theory and presents the opportunity to investigate alternative formulations. As an example, we take some of Savage’s notions of decision theory and recast them within channel theory. In place of probabilities, we use a particular logic of preference. We introduce a logic (...) for describing actions separate from the logic of preference over actions. The structures introduced by channel theory that represent the decision problems can be seen to be an abstract framework. This frame-work is very accommodating to changing the nature of the decision problems to handle different aspects or theories about decision making. (shrink)

Enterprise Network has increasingly gained popularity in academia. Over the past few decades, a substantial amount of EN studies have been published in China. Drawing upon a sample of 603 papers retrieved from the Chinese Social Sciences Citation Index database between 1998 and 2020, this study aims to delve into the status quo, knowledge base, research focus, and evolutionary trends of EN research in China. A multifaceted bibliometric analysis was performed using CiteSpace. The findings mainly indicate that the research on (...) EN in China has a clear development context, and the research content gradually changes from macro to micro. In addition to foreign Social Network theories, the research results of domestic scholars have become the basic knowledge in this field. The research includes these topics: the conceptualization of EN, EN as indicators of enterprise development, EN’s impact on start-ups, mechanisms of EN’s effect and governance of EN. The potential direction for future research has been identified as the integration between EN and other forms of networks, and the structure of EN. (shrink)

Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...) models cannot be compared to econometric models fairly. To solve these two problems, we further introduce a likelihood-based loss function to train the deep learning models and test all the models by the likelihood of the test sample. The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function. (shrink)

Conflict handling by managers gives rise to significant emotional and cognitive experiences for affected employees and has far-reaching effects on the effectiveness of a group and an organization. In this conceptual paper, we argue that despite many claims made by managers in their self-reports that they engage in either dominant or compromising conflict-handling strategies when managing conflict within a group, they may be perceived by employees as adopting neglect or avoidance behaviors. We examine how such perceived managers' avoidance styles could (...) influence employees' perceptions with regard to justice, trust, and politics within an organization. (shrink)

Partner selection is the primary aspect of the formation of knowledge collaboration teams. We propose a method of partner selection for KCTs based on a weighted social network analysis method in which the individual knowledge competence and the collaboration performance of candidates are both considered. To select the desired partners, a biobjective 0-1 model is built, integrating the knowledge competence and collaboration performance, which is an NP-hard problem. Then, a multiobjective genetic algorithm is developed to solve the proposed model. Finally, (...) a real-world example is provided to illustrate the applicability of the model, and the MOGA is implemented to search for Pareto solutions of partner selection for KCT in this case. Moreover, some simulation examples are used to test the efficiency of the algorithm. The results suggest that the proposed method can support effective and practical partner selection. (shrink)

We show that there exist downwards properly $\Sigma _{2}^{0}$ (in fact noncuppable) e-degrees that are not high. We also show that every high e-degree bounds a noncuppable e-degree.

With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based (...) theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance. (shrink)

As we journey into the fourth year of the COVID-19 pandemic, a majority of Americans express relief at a “return to normal,” experience pandemic fatigue, or embrace the idea of living with COVID-19 in much the same way we live with the seasonal flu. But transition to a new phase of life with SARS-CoV-2 does not diminish the importance of vaccination. The US Centers for Disease Control and the Food and Drug Administration recently recommended another round of booster dose for (...) persons age 5 and up, or an initial series for those not previously vaccinated, with an updated bivalent formula that protects against both the original virus strain and Omicron subvariants that are now the dominant source of infection. By most accounts most of the population has been or will become infected with SARS-CoV-2. Suboptimal uptake of the COVID-19 vaccines among the approximately 25 million adolescents in the United States is a significant obstacle to population coverage, public health, and the health and well-being of adolescents. A major cause of low adolescent uptake is parental vaccine hesitancy. This article discusses parental vaccine hesitancy and argues that permitting independent adolescent consent to COVID-19 vaccination should be an ethical and policy priority as we continue to confront the threat of Omicron and other variants of the coronavirus. We discuss the central role of the pediatric healthcare team in caring for adolescent patients who disagree with their parents about vaccination. (shrink)

Although sufficient attention has been paid to residents' attitudes to tourism in previous studies, few studies have used residents' attitudes to tourists and tourism simultaneously to explain their support for tourism. This study fills this gap by examining the effect of place image and host–tourist interactions on residents' attitudes to tourists and tourism, respectively, and their consequent reactions by considering the moderating effect of Chinese traditionality. The proposed model is tested using data from 357 residents living in Huangshan, a fifth-tier (...) city in China. Results demonstrate that attitudes to tourism and host-tourists interaction positively affect their pro-tourism behaviours. Moreover, attitudes to tourism mediate place the image's, host–tourists interaction's and attitudes to tourists' respective relationships with pro-tourism behaviours. Furthermore, the higher the Chinese traditionality of residents, the stronger the influence of their attitudes to tourism on pro-tourism behaviours. However, the relationship of place image and attitudes of residents towards tourists with pro-tourism behaviours are not supported. Findings offer critical implications for planners, practitioners and interested researchers. (shrink)

This study evaluated the biological dimension of meditation and self-transcendent states. A convenience sample of 513 participants was drawn from attendees at a 4-day guided meditation workshop. Half were randomly assigned to an active placebo control intervention. All were assessed on a variety of measures, both psychological [anxiety, pain, posttraumatic stress disorder, positive emotions, and transcendent states], and physiological. Additional biological assessments including salivary immunoglobulin-A, cortisol, and Quantitative Electroencephalography were obtained from subset of the Experimental group. No significant difference in (...) psychological symptoms or positive emotions was observed between Experimental and placebo groups at baseline. At post-test, significant improvements were noted in the Experimental group, including a 49.5% median increase in SIgA, though cortisol remained unchanged. qEEG z-score analysis identified sustained stress reduction, including delta frequency band amplitude increases, high beta decreases, and faster acquisition of sustained alpha states. Psychological symptoms also improved on all measures. At 6-month follow-up, PTSD and somatic symptoms significantly improved from baseline, and post-test versus 6-month follow-up results indicated significant increases in happiness and spiritual and physical oneness, along with decreases in depressive symptoms. These findings suggest that autonomic self-regulation and transcendent states may be measured in both biological and psychological dimensions and are associated with pervasive health benefits. (shrink)

This study aimed to investigate the features of only child status related to physical health, mathematics achievement, and school feelings and expectations from a different perspective. A representative sample of 91,619 Grade 4 students with an average age of 10.4 ± 0.7, among which 28,631 were only children, were assessed. We used propensity score matching and the average treatment effects on the treatment to analyze data. The treatment was the only child of a family. The results indicated that only children (...) have better academic achievement and school feelings, while non-only children have better physical status and anaerobic fitness. In addition, gender and rural vs. urban areas differences were also explored. The adverse situation for rural only boys is emphasized for families, researchers, and governments to focus on. Some suggestions are given under the Two- and Three-Child Policy. (shrink)

Whale optimization algorithm, known as a novel nature-inspired swarm optimization algorithm, demonstrates superiority in handling global continuous optimization problems. However, its performance deteriorates when applied to large-scale complex problems due to rapidly increasing execution time required for huge computational tasks. Based on interactions within the population, WOA is naturally amenable to parallelism, prompting an effective approach to mitigate the drawbacks of sequential WOA. In this paper, field programmable gate array is used as an accelerator, of which the high-level synthesis utilizes (...) open computing language as a general programming paradigm for heterogeneous System-on-Chip. With above platform, a novel parallel framework of WOA named PWOA is presented. The proposed framework comprises two feasible parallel models called partial parallel and all-FPGA parallel, respectively. Experiments are conducted by performing WOA on CPU and PWOA on OpenCL-based FPGA heterogeneous platform, to solve ten well-known benchmark functions. Meanwhile, other two classic algorithms including particle swarm optimization and competitive swarm optimizer are adopted for comparison. Numerical results show that the proposed approach achieves a promising computational performance coupled with efficient optimization on relatively large-scale complex problems. (shrink)

The concept of self-efficacy is concerned with people''s beliefs in their ability to produce given attainment. It has been widely applied to study human conduct in various settings. This study, based on Albert Bandura''s social cognitive theory, proposes the employment of self-efficacy for investigating people''s ethical conduct related to computer use. Specifically, an ethical computer self-efficacy (ECSE) construct concerning software piracy is developed and validated. The measurement model of the construct was rigorously tested and validated through confirmatory factor analysis. The (...) results suggest that ECSE can be operationalized as a second-order factor model. The first order constructs are termed use&keep (do not use), distribution (do not distribute), and persuasion (persuade others not to commit piracy). These factors are governed by a second-order construct of ECSE. This construct could be useful to research a wide range of information ethics in the future. (shrink)

Twenty classes in ten schools with 627 sixth?grade students in five cities in Taiwan participated in this study. The research provides information on the performance differences among written computation, pictorial representation, symbolic representation and number sense. The results of One?way ANOVA analysis indicate that significant difference was found among WCT, PRT, SRT and NST tests, with F=536.327, p=0.000. The a posteriori comparisons show for each pair (WCT vs PRT, WCT vs SRT, WCT vs NST, PRT vs SRT and SRT vs (...) NST) significant difference at the 0.001 level (p=0.000), except for the pair comparison between PRT and NST. This implies that these Taiwanese students were highly skilled in written computation but their written skills were not equally transferred to use of non?computational paths that depended on symbolic representation, pictorial representation and number sense to solve similar problems. (shrink)