In 2011, Jiangsu Province set up the guidance fund for sports industry. In 2016, Jiangsu Provincial Finance Department jointly issued the document with Jiangsu Provincial Sports Bureau, which was changed to “Jiangsu Special Fund for Sports Industry Development.” By 2019, Jiangsu Province has funded 1,009 sports industry development projects with a total investment of 796.6 million yuan. The effect of the investment has attracted extensive attention from the government, society, and enterprises. Entrusted by Jiangsu Sports Industry Guidance Center, this research (...) team spent one year on the performance research of 1,009 projects supported by special funds for the development of sports industry, from the construction of evaluation index system to the design, issuance, collection, and processing of questionnaires. Using the methods of literature, questionnaire, expert interview, and mathematical statistics, this paper takes the performance management of the special funds for the development of sports industry in Jiangsu Province as the research object, based on the investigation and analysis of the current situation of the special funds for the development of sports industry in Jiangsu Province. It analyzes the special funds from four aspects: the rate of funds in place, the ratio of funds pulled, the completion rate of project implementation, and the rate of fund prerecovery. Then, this paper expounds the current situation, effectiveness, and problems of the performance management of the special funds for the development of sports industry and puts forward some countermeasures and suggestions for improvement. (shrink)

Improving the resilience of urban road networks suffering from various disruptions has been a central focus for urban emergence management. However, to date the effective methods which may mitigate the negative impacts caused by the disruptions, such as road accidents and natural disasters, on urban road networks is highly insufficient. This study proposes a novel adaptive signal control strategy based on a doubly dynamic learning framework, which consists of deep reinforcement learning and day-to-day traffic dynamic learning, to improve the network (...) performance by adjusting red/green time split. In this study, red time split is regarded as extra traffic flow to discourage drivers to use affected roads, so as to reduce congestion and improve the resilience when urban road networks are subject to different levels of disruptions. In addition, we utilize the convolution neural network as Q-network to approximate Q values, link flow distribution and link capacity are regarded as the state space, and actions are denoted as red/green time split. A small network is utilized as a numerical example, and a fixed time signal control and other two adaptive signal controls are employed for the comparisons with the proposed one. The results show that the proposed adaptive signal control based on deep reinforcement learning can achieve better resilience in most of the cases, particularly in the scenarios of moderate and severe disruptions. This study may shed light on the advantages of the proposed adaptive signal control dealing with major emergencies compared to others. (shrink)

A great deal of progress has been made on information ethics. Which portion is not sufficient? That might be the comparison from countries to countries. The purpose of this study was closely examined using the cross-cultural method for comparison. To determine the ethics cognitions and behaviors of the students, a comprehensive survey was distributed. The questionnaire for the study used Mason’s four essential factors in information ethics that included Privacy, Accuracy, Property and Accessibility (PAPA). The samples were comprised of Kaohsiung (...) Taiwan and Nanjing China, junior high school students in 2006. The sample and the survey were obtained from two stages of random sampling that was conducted using an Internet website. Students could read the online questionnaire in the computer laboratory and then send immediate feedback to the website server. The result of the experiment showed the divergence of information ethics in cognition and behavior between Kaohsiung and Nanjing school children. The effects of background and correlation are from cognition and behavior between two regions. (shrink)

Millions of Chinese children learn English at increasingly younger ages. Yet when it comes to measuring proficiency, educators, and researchers rely on assessments that have been developed for L1 learners and/or for different cultural contexts, or on non-validated, individually designed tests. We developed the Assessment of Chinese Children’s English Vocabulary test to address the need for a validated, culturally appropriate receptive vocabulary test, designed specifically for young Chinese learners. The items are drawn from current teaching materials used in China, and (...) the depictions of people and objects are culturally appropriate. We evaluated the instrument’s reliability and validity in two field tests with a combined sample size of 1,092 children analyses show that the ACCE-V is sufficiently sensitive to capture different proficiency levels and that it has good psychometric properties. ACCE-V scores were correlated with Peabody Picture Vocabulary Test scores, indicating concurrent validity. We found that children’s age and English learning experience can significantly predict the scores of ACCE-V, but the effect of English learning experience is greater. The ACCE-V thus offers an alternative to existing vocabulary tests. We argue that culturally appropriate assessments like the ACCE-V are fairer to learners and help promote an English learning and teaching environment that is less dominated by Western cultures and native speaker norms. (shrink)

Mystical religious experiences typically purport to engage with the transcendent and often claim to involve encounters with spiritual entities or a detachment from the material world. Daoism diverges from this paradigm. This paper examines Daoist mystical experiences of bodily transformations and explores their epistemological implications. Specifically, we defend the justificatory power of Daoist somatic experiences against the disanalogy objection. The disanalogy objection posits that mystical experiences, in contrast to sense perceptions, are not socially verifiable and thereby lack prima facie epistemic (...) value. We argue that some Daoist mystical bodily states, being essentially spatiotemporal, are exempt from this challenge. This leads to a broader understanding of mysticism and offers a partial resolution to the disanalogy objection. (shrink)

With the continuous progress and penetration of automated data collection technology, enterprises and organizations are facing the problem of information overload. The demand for expertise in data mining and analysis is increasing. Self-efficacy is a pivotal construct that is significantly related to willingness and ability to perform a particular task. Thus, the objective of this study is to develop an instrument for assessing self-efficacy in data mining and analysis. An initial measurement list was developed based on the skills and abilities (...) about executing data mining and analysis, and expert recommendations. A useful sample of 103 university students completed the online survey questionnaire. A 19-item four-factor model was extracted by exploratory factor analysis. Using the partial least squares-structural equation modeling technique, the model was cross-examined. The instrument showed satisfactory reliability and validity. The proposed instrument will be of value to researchers and practitioners in evaluating an individual’s abilities and readiness in executing data mining and analysis. (shrink)

The purpose of this study was to explore whether the performance of the green innovation brought positive effect to the competitive advantage. This study found that the performances of the green product innovation and green process innovation were positively correlated to the corporate competitive advantage. Therefore, the result meant that the investment in the green product innovation and green process innovation was helpful to the businesses. This study argued that the businesses should cognize the correct value and positioning of the (...) green innovation. (shrink)

The growing prevalence of health care ethics consultation (HCEC) services in the U.S. has been accompanied by an increase in calls for accountability and quality assurance, and for the debates surrounding why and how HCEC is evaluated. The objective of this study was to evaluate the effectiveness of HCEC as indicated by several novel outcome measurements in East Asian medical encounters.

The relationship between gender and ethics has been extensively researched. However, previous studies have assumed that the gender–ethics association is constant; hence, scholars have seldom investigated factors potentially affecting the gender–ethics association. Thus, using managers as the research target, this study examined the relationship between gender and ethics and analyzed the moderating effect of cultural values on the gender–ethics association. The results showed that, compared with female managers, their male counterparts are more willing to justify business-related unethical behaviors such as (...) bribery and tax evasion, and that the gender difference in ethics becomes more pronounced under the cultural dimensions of collectivism, humane orientation, performance orientation, and gender egalitarianism. This study used data obtained through surveying 2,754 managers in 27 nations. (shrink)

PurposeThyroid-associated ophthalmopathy is a vision threatening autoimmune and inflammatory orbital disease, and has been reported to be associated with a wide range of structural and functional abnormalities of bilateral hemispheres. However, whether the interhemisphere functional connectivity of TAO patients is altered still remain unclear. A new technique called voxel-mirrored homotopic connectivity combined with support vector machine method was used in the present study to explore interhemispheric homotopic functional connectivity alterations in patients with TAO.MethodsA total of 21 TAO patients and 21 (...) wellmatched healthy controls, respectively, underwent functional magnetic resonance imaging scanning in the resting state. We evaluated alterations in the resting state functional connectivity between hemispheres by applying VMHC method and then selected these abnormal brain regions as seed areas for subsequent study using FC method. Furthermore, the observed changes of regions in the VMHC analysis were chosen as classification features to differentiate patients with TAO from HCs through support vector machine method.ResultsThe results showed that compared with HCs, TAO patients showed significantly lower VMHC values in the bilateral postcentral gyrus, lingual gyrus, calcarine, middle temporal gyrus, middle occipital gyrus and angular. Moreover, significantly decreased FC values were found between the right postcentral gyrus/lingual gyrus/calcarine and left lingual gyrus/cuneus/superior occipital gyrus, left postcentral gyrus/lingual gyrus/calcarine and right lingual gyrus/ middle temporal gyrus, right middle temporal gyrus and left cerebellum-8/lingual gyrus/middle occipital gyrus/supplementary motor area, left middle temporal gyrus and right middle occipital gyrus, right middle occipital gyrus/angular and left middle temporal pole. The SVM classification model achieved good performance in differentiating TAO patients from HCs.ConclusionThe present study revealed that the altered interhemisphere interaction and integration of information involved in cognitive and visual information processing pathways including the postcentral gyrus, cuneus, cerebellum, angular, widespread visual cortex and temporal cortex in patients with TAO relative to HC group. VMHC variability had potential value for accurately and specifically distinguishing patients with TAO from HCs. The new findings may provide novel insights into the neurological mechanisms underlying visual and cognitive disorders in patients with TAO. (shrink)

Using Robert Merton’s perspective on social structure [Social theory and structure. Free Press, New York, 1968], this study tested the individual-level association between job position and ethical reasoning. Anomie theory was employed to examine how country-level factors moderate that individual-level association. The hierarchical linear modeling (HLM) method was used to analyze 22,359 subjects from 28 nations. The statistical results proved that workers are more likely to justify ethically suspect behaviors, and that this individual-level relationship is moderated by the country-level factors (...) of power distance, masculinity, social inequality, and education accessibility. These results imply that Merton’s view of social structure and contemporary anomie theorists’ perspective of anomie [Messner and Rosenfeld (Crime and the American dream. Wadsworth, Belmont, 2001); Rosenfeld and Messner (The future of anomie theory. Northeastern University Press, Boston, 1997)] are mutually complementary rather than exclusive. (shrink)

Chinese mind-body exercises are positively associated with executive function, but their effects on EF, from synthesized evidence using systematic and meta-analytic reviews, have not been conducted. Therefore, the present systematic review with meta-analysis attempted to determine whether CMBEs affect EF and its sub-domains, as well as how exercise, sample, and study characteristics moderate the causal relationship between CMBEs and EF in middle-aged and older adults. Seven electronic databases were searched for relevant studies published from the inception of each database through (...) June 2020. Randomized controlled trials with at least one outcome measure of CMBEs on EF in adults of mean age ≥ 50 years with intact cognition or mild cognitive impairment and with or without chronic diseases were included. A total of 29 studies ultimately were included in this study. The results indicated that CMBEs improved overall EF, as well as its sub-domains of working memory and shifting. The beneficial effects of CMBEs on EF occurred regardless of type, frequency of group classes, session time, total training time, and length of the CMBEs, in addition to that more frequent participation in both group classes and home practice sessions resulted in more beneficial effects. The positive effects of CMBEs on EF were also demonstrated, regardless of participants mean age, sex, and cognitive statuses, health status, as well as training mode and study language. This review thus suggests that CMBEs can be used as an effective method with small to moderate and positive effects in enhancing EF, and that more frequent group classes and home practice sessions may increase these effects. However, certain limitations, including strictly design studies, limited ES samples for specific variables, and possible biased publications, required paying particular attention to, for further exploring the effects of CMBEs on EF. (shrink)

Flipped learning could improve the learning effectiveness of students. However, some studies have pointed out the limitations related to flipped classrooms because the content of the flipped course does not vary according to the needs of the students. On the other hand, adaptive teaching, which customizes the learning mode according to the individual needs of students, can make up for some of the shortcomings of flipped teaching. This study combines adaptive teaching with flipped teaching and applies it to face-to-face classroom (...) activities. The purpose of this research is to explore whether the implementation of flipping and adaptive learning in a computer programming course can improve the learning effectiveness of students. The experimental subjects of this study are the sophomore students in the Department of Information Management. The flipped classroom with adaptive instruction has been realized in the limited course time. This study uses questionnaires to collect pre- and post-test data on the “learning motivation” of students. The learning effectiveness was evaluated based on the students' previous programming course and the semester scores of this course. Research results show that the post-test “learning motivation” has improved overall compared with the pre-test, and the learning effect is significant. The results of this research not only prove the effectiveness of modern teaching theories in programming courses but also lay the foundation for future teaching design. (shrink)

An increasing number of users have been attracted by location-based social networks in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the human behavior movement from their spatiotemporal mobility patterns and spawns a large number of location-based applications. For instance, one of such applications is to produce personalized point of interest recommendations that users are interested in. Different from traditional recommendation methods, the recommendations in LBSNs come with two (...) vital dimensions, namely, geographical and temporal. However, previously proposed methods do not adequately explore geographical influence and temporal influence. Therefore, fusing geographical and temporal influences for better recommendation accuracy in LBSNs remains potential. In this work, our aim is to generate a top recommendation list of POIs for a target user. Specially, we explore how to produce the POI recommendation by leveraging spatiotemporal information. In order to exploit both geographical and temporal influences, we first design a probabilistic method to initially detect users’ spatial orientation by analyzing visibility weights of POIs which are visited by them. Second, we perform collaborative filtering by detecting users’ temporal preferences. At last, for making the POI recommendation, we combine the aforementioned two approaches, that is, integrating the spatial and temporal influences, to construct a unified framework. Our experimental results on two real-world datasets indicate that our proposed method outperforms the current state-of-the-art POI recommendation approaches. (shrink)

We aim to construct exact and explicit solutions to a generalized Bogoyavlensky-Konopelchenko equation through the Maple computer algebra system. The considered nonlinear equation is transformed into a Hirota bilinear form, and symbolic computations are made for solving both the nonlinear equation and the corresponding bilinear equation. A few classes of exact and explicit solutions are generated from different ansätze on solution forms, including traveling wave solutions, two-wave solutions, and polynomial solutions.

Economic dispatch plays an important role in power system operation, since it can decrease the operating cost, save energy resources, and reduce environmental load. This paper presents an improved particle swarm optimization called biogeography-based learning particle swarm optimization for solving the ED problems involving different equality and inequality constraints, such as power balance, prohibited operating zones, and ramp-rate limits. In the proposed BLPSO, a biogeography-based learning strategy is employed in which particles learn from each other based on the quality of (...) their personal best positions, and thus it can provide a more efficient balance between exploration and exploitation. The proposed BLPSO is applied to solve five ED problems and compared with other optimization techniques in the literature. Experimental results demonstrate that the BLPSO is a promising approach for solving the ED problems. (shrink)

The American Journal of Bioethics, Volume 11, Issue 8, Page 58-59, August 2011.

Most studies have examined the outcomes of patients supported by extracorporeal membrane oxygenation as a life-sustaining treatment. It is unclear whether significant social events are associated with the use of life-sustaining treatment. This study aimed to compare the trend of extracorporeal membrane oxygenation use in Taiwan with that in the world, and to examine the influence of significant social events on the trend of extracorporeal membrane oxygenation use in Taiwan.

We generalize Ripley’s results on the transitivity of consequence relation, without assuming a logic to be monotonic. Following Gabbay, we assume nonmonotonic consequence relation to be inclusive and cautious monotonic, and figure out the implications between different forms of transitivity of logical consequence. Weaker frameworks without inclusiveness or cautious monotonicity are also discussed. The paper may provide basis for the study of both non-transitive logics and nonmonotonic ones.

Creativity is so important for social and technological development that people are eager to find an easy way to enhance it. Previous studies have shown that mindfulness has significant effects on positive affect, working memory capacity, cognitive flexibility and many other aspects, which are the key to promoting creativity. However, there are few studies on the relationship between mindfulness and creativity. The mechanism between mindfulness and creativity is still uncertain. Meditation is an important method of mindfulness training, but for most (...) people who do not have the basic training, it’s difficult to master how to get into a state of mindfulness. Animation has been shown by many studies to help improve cognition and is often used as a guiding tool. Using animation as the guiding carrier of meditation is more convenient and easier to accept. Therefore, this study adopted the intervention method of animation-guided meditation, aiming to explore: the effect of animation-guided meditation on enhancing creativity; the role of flow and emotion in the influence of mindfulness on creativity. We advertised recruitment through the internal network of a creative industrial park, and the final 95 eligible participants were divided into two groups: animation and audio guided meditation. The animation group was given an animated meditation intervention, and the audio group was given an audio meditation intervention, both interventions were performed 3 times a week and last for 8 weeks. Results: Animation-guided meditation significantly increased participants’ mindfulness and creativity levels; Significantly reduced their cognitive load compared to audio-guided meditation. Mindfulness has a significant direct effect on creativity, and significant indirect effects on creativity; Flow and PA act as the mediating variable. Conclusion: Mindfulness, flow, and PA all helped to improve the subjects’ work creativity. In addition to the direct positive impact of mindfulness on creativity, mindfulness can also have an indirect positive impact on creativity through flow and PA. Compared with audio, animation can significantly reduce cognitive load and help improve users’ cognitive ability, which is more suitable for the guidance materials of mindfulness meditation to enhance the effect of meditation. (shrink)

Extra-corporeal membrane oxygenation has been introduced to clinical practice for several decades. It is unclear how internet and newspapers portray the use of extra-corporeal membrane oxygenation. This study were: (1) to quantify the coverage of extra-corporeal membrane oxygenation use in newspapers and on the Internet; (2) to describe the characteristics of extra-corporeal membrane oxygenation users presented in newspaper articles and the Internet web pages in comparison with those shown in extra-corporeal membrane oxygenation studies in Taiwan; and (3) to examine the (...) survival rates of extra-corporeal membrane oxygenation users presented in newspaper articles and the Internet web pages in comparison with those in Taiwan and in the Extracorporeal Life Support Registry Report International Summary for January 2014. (shrink)

This study examined the direct influence of national economic condition, as well as the indirect effects through the strength of noneconomic institutions on supervisors’ ethical reasoning using the institutional anomie theory developed by Messner and Rosenfeld :1393–1416, 2001). Utilizing data of 20,025 supervisors across 52 countries, the analyses showed that high disparity in the economic distribution directly and indirectly leads to unethical values. High economic inequality in a country resulted in high tendency of supervisors to justify unethical acts. In addition, (...) some of this influence went through the institutional strength of family, education, polity, and religion, thereby indicating partial mediation. As a result, the study presented the important roles of social institutions in explaining supervisors’ attitude and behavior. The findings of this research contribute to the institutional anomie theory by clarifying the multilevel path of the macrostructures’ conditions in explaining supervisors’ ethicality. Moreover, since some of the relationships between variables resulted in the direction opposite to the propositions of the theory, this study suggested other theoretical models that may be integrated with IAT. Along with these theoretical contributions, practical implications to businesses and society are discussed to strengthen supervisors’ ethics. (shrink)

The study of illiberal constitutions has recently generated enormous scholarly interests. Few, however, have focused on whether democracies may still embrace constitutionalism mixed with illiberal elements. This article explores mixed constitutions of South Korea and Taiwan, the two democracies with vibrant civil societies in East Asia. Three distinctive features in both constitutions have demonstrated illiberal elements, including duty clauses imposed upon citizens, directives requiring the State to enact laws to fulfill the goals of governance, and constitutional cultures that exhibit high (...) deference to political elites based on the Confucian tradition. This article further examines the impacts of such mixed constitutions on three challenging issues: managing pandemic crisis, applying artificial intelligence, and combating fake news. This article finds mixed features of illiberal and democratic constitutions in the two countries by giving their governments more space in managing urgent crises, showing higher deference to experts who are generally trusted by the public, and making compromises to individual rights for greater public good. However, this does not imply that the government is not made democratically accountable, or rights and freedoms are not asserted or valued by individuals. To the contrary, nongovernmental organizations and courts in the two countries continue to act as a counterbalancing force, challenging the government’s policies and decisions if not reasonably balanced, weakening the tendency of power concentration that has been seen in other countries where democratic backsliding or authoritarian governance is gradually revived. (shrink)

Employees often experience ethical dilemmas throughout their service in an organization. This study utilized a multilevel standpoint to address employees’ differences in ethical reasoning. Hierarchical linear modeling was used to analyze responses from 40,485 full‐time employees across 54 countries. Drawing from Durkheim's concepts of the homo duplex, socialization process, and social conditions, this study found a positive relationship between employees’ income level and unethical reasoning. Furthermore, the results indicate that modern social regulation, technological advancement, economic development, and economic change moderate (...) the relationship between income and ethical judgment. The study findings contribute to the Durkheimian model by validating the effects of individual‐ and country‐level factors on employees’ ethicality. Considering that the results contradict Durkheim's initial propositions, another concept and theory are proposed, which may complement Durkheim's arguments. Practical implications for organizations and society are further discussed to reinforce employees’ ethics. (shrink)

Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the (...) GPU. In this case, bottlenecked nodes can be translated to quad-tree without interfering with the CPU. Hence, waiting time of other threads caused by locking operations raised by object data updating can be reduced. The method is simple while more adaptive to scenarios where the distribution of moving objects is skewed. It also avoids shortcomings of existing methods with performance bottleneck on the hot area or spending plenty of calculation resources on structure balancing. Experiments suggest that our method shows higher throughput and lower response time than the existing indexing methods. The advantage is even more significant under the skewed distribution of moving objects. (shrink)

It is emphasized that environmental predictability is another important condition that plays roles in slow strategies that are related to innovation; that economic inequality, except as measured by Gross Domestic Product per capita, influences innovation; and that switching global life history from a slow to a fast strategy is a response adopted in response to new challenges during the post-Industrial Revolution period.

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)