Online reading is developing at an increasingly rapid rate, but the debate concerning whether learning is more effective when using hypertexts than when using traditional linear texts is still persistent. In addition, several researchers stated that online reading comprehension always starts with a question, but little empirical evidence has been gathered to investigate this claim. This study used eye-tracking technology and retrospective think aloud technique to examine online reading behaviors of fifth-graders ( N = 50). The participants were asked to (...) read four texts on the website. The present study employed a three-way mixed design: 2 (reading ability: high vs. low) × 2 (reading goals: with vs. without) × 2 (text types: hypertext vs. linear text). The dependent variables were eye-movement indices and the frequencies of using online reading strategy. The results show that fifth-graders, irrespective of their reading ability, found it difficult to navigate the non-linear structure of hypertexts when searching for and integrating information. When they read with goals, they adjusted their reading speed and the focus of their attention. Their offline reading ability also influenced their online reading performance. These results suggest that online reading skills and strategies have to be taught in order to enhance the online reading abilities of elementary-school students. (shrink)

Zhang Junmai (Carsun Chang, 1877-1969) Zhang Junmai (Chang Chun-mai, 1877-1969), also known as Carsun Chang, was an important twentieth-century Chinese thinker and a representative of modern Chinese philosophy. Zhang’s participation in “The Debate between Metaphysicians and Scientists” of 1923, in which he defended his Neo-Confucian views against those of Chinese progressives and scientists, made a […].

Based on the expanded theory of planned behavior, this study first explores the configuration relationship between founder management and innovation by using the fuzzy-set qualitative comparative analysis. Based on the theory of planned behavior, this study divides the behavior intention of founders into three categories: Attitude, subjective norm, and perceived behavior control. Using fsQCA, we found that there are two ways to achieve high innovation input of enterprises. In combination with the two ways, the factors such as male and highly (...) educated founder, and large firm size can effectively increase the innovation input of firms, which is consistent with the three aspects of the behavioral intention of the theory of planned behavior, and it proves that the theory of planned behavior can effectively explain the configuration relation between the founder and firm innovation. In addition, this study finds that the innovation output is different from the innovation input, is dependent on the innovation ability of the firm itself, and is less influenced by the external environment. (shrink)

Delineation of the subthalamic nuclei on MRI is critical for deep brain stimulation surgery in patients with Parkinson’s disease. We propose this retrospective cohort study for quantitative analysis of MR signal-to-noise ratio, contrast, and signal difference-to-noise ratio of the STN on pre-operative three-dimensional stereotactic MRI in patients with medication-refractory PD. Forty-five consecutive patients with medication-refractory PD who underwent STN-DBS surgery in our hospital from January 2018 to June 2021 were included in this study. All patients had whole-brain 3D MRI, including (...) T2-weighted imaging, T2-weighted fluid-attenuated inversion recovery, and susceptibility-weighted imaging, at 3.0 T scanner for stereotactic navigation. The signal intensities of the STN, corona radiata, and background noise were obtained after placing regions of interest on corresponding structures. Quantitative comparisons of SNR, contrast, and SDNR of the STN between MR pulse sequences, including the T2WI, FLAIR, and SWI. Subgroup analysis regarding patients’ sex, age, and duration of treatment. We used one-way repeated measures analysis of variance for quantitative comparisons of SNR, contrast, and SDNR of the STN between different MR pulse sequences, and we also used the dependent t-test for the post hoc tests. In addition, we used Mann–Whitney U test for subgroup analyses. Both the contrast and SDNR were highest on FLAIR. The SNR was highest on SWI, and both the SNR and SDNR were lowest on T2WI. Subgroup analyses demonstrated significantly lower SDNR on SWI for patients receiving medication treatment for ≥13 years. In conclusion, on 3D stereotactic MRI of medication-refractory PD patients, the contrast and SDNR for the STN are highest on FLAIR, suggesting the optimal delineation of STN on FLAIR. (shrink)

The question of whether there is identity between erroneous thinking and existence has been brought up for discussion after our study of the identity between thought and existence expounded by Engels in his book Ludwig Feuerbach and the End of Classical German Philosophy. Therefore we must first know the meanings Engels gave to the concepts of thought and existence and the identity between them and then solve our problems with the help of these concepts as he understood them. This should (...) be the general principle in the discussion on this question. However, in the current discussions some comrades have come up with different interpretations of these concepts. Although their arguments are plausible, they have convinced no one. Therefore, I think that serious discussions on this question are necessary and that the discussions should be confined to the philosophical problem pointed out by Engels. (shrink)

Donating money to a charity based on consumer purchase is referred to as cause-related marketing . In this research, we profile consumer psychographics for skepticism toward advertising in a CRM context. To be specific, this study investigates whether and how psychological antecedents and gender differences influence consumer skepticism toward advertising. An empirical study was conducted with 291 participants. Structural equation modeling was employed for hypothesis testing. The results suggest that a utilitarian orientation and an individualistic mindset are positively related to (...) skepticism toward advertising, while a hedonic orientation and a collectivistic mindset are negatively related to skepticism toward advertising. Gender differences are also found in the aforementioned relationships. The segmentational approach of gender and psychographics can assist marketers to explain consumer attitudes toward CRM and then to communicate with those CRM advocates better. (shrink)

This study examines the effects of leader emotional intelligence, leadership styles, organizational commitment, and trust on job performance. A questionnaire was administered to the participants, who were real estate brokers in Kaohsiung City. Of the 980 questionnaires administered, 348 valid responses were received, indicating an effective response rate of 35.5%. Structural equation modeling was used for the analysis. The results show that leader emotional intelligence has a significant and positive effect on trust in supervisors, and transformational leadership and trust within (...) a team have significant and positive effects on job performance. In addition, organizational commitment has a significant and positive effect on job performance. Trust within a team mediates the significant and positive effect of leader emotional intelligence on job performance. Although transactional leadership has no direct, positive, and significant effects on employee job performance, trust in the workplace shaped by a leader’s leadership style will empower a team’s spirit and boost their morale, thereby indirectly affecting their job performance in a positive manner. (shrink)

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from binary data where an (...) item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)

This study proposed and examined a conceptual framework on the influence of real estate brokers’ personalities, psychological empowerment, social capital, and knowledge sharing on their innovation performance, and used moral hazard as a moderating variable. We used structural equation modeling for data analysis and estimation. The participants were real estate brokers in Kaohsiung City. A total of 1,000 questionnaires were administered to 100 branch offices of real estate companies, 571 of which were later recovered from 80 branch offices. After removing (...) 52 for being invalid, we were left with 519 valid questionnaires, indicating a 51.9% recovery rate. The empirical results suggest that the real estate brokers’ personalities and psychological empowerment positively and significantly influence social capital; personality and psychological empowerment also positively and significantly influence their innovation performance; and social capital significantly influences knowledge sharing, which in turn positively and significantly influences the brokers’ innovation performance. In environments with higher levels of moral hazard, the influence of social capital on the brokers’ knowledge sharing is significantly diminished. (shrink)

This study investigates the role of religion in shaping the norms of citizenship from a cultural perspective for an East Asian country that exhibits fundamental differences in social contexts from Western advanced democracies. Using data drawn from the Taiwan Social Change Survey, we find that the Eastern religions of Buddhism, Taoism, and Folk Religions are important for explaining the formation of the concept of being a good citizen. This study further examines the relationships between citizenship norms and various conventional and (...) unconventional types of political participation. The empirical results herein suggest that duty-based citizenship and engaged citizenship have significant differences in their effects on political participation. (shrink)

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

We estimate that 208,000 deep brain stimulation (DBS) devices have been implanted to address neurological and neuropsychiatric disorders worldwide. DBS Think Tank presenters pooled data and determined that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. The DBS Think Tank was founded in 2012 providing a space where clinicians, engineers, researchers from industry and academia discuss current and emerging DBS technologies and logistical and ethical issues facing the field. (...) The emphasis is on cutting edge research and collaboration aimed to advance the DBS field. The Eighth Annual DBS Think Tank was held virtually on September 1 and 2, 2020 (Zoom Video Communications) due to restrictions related to the COVID-19 pandemic. The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals in adaptive neurostimulation, and (7) use of more advanced technologies to improve DBS clinical outcomes. There were 178 attendees who participated in a DBS Think Tank survey, which revealed the expansion of DBS into several indications such as obesity, post-traumatic stress disorder, addiction and Alzheimer’s disease. This proceedings summarizes the advances discussed at the Eighth Annual DBS Think Tank. (shrink)

The technological progress makes great contribution to the rapid economic growth of China during its past three decades of reform and opening up. An empirical analysis conducted over China’s total factor productivity certifies this conclusion but it also reveals that China’s TFP growth rate is not very high. We further explore the various stages of change of China’s total factor productivity and the causes of these changes and finally take an analytical calculation over the present flaws of China’s innovation system (...) and offer some advices. (shrink)

With renewable energy being increasingly connected to power grids, pumped storage plants play a very important role in restraining the fluctuation of power grids. However, conventional control strategy could not adapt well to the different control tasks. This paper proposes an intelligent nonlinear model predictive control strategy, in which hydraulic-mechanical and electrical subsystems are combined in a synchronous control framework. A newly proposed online sequential extreme learning machine algorithm with forgetting factor is introduced to learn the dynamic behaviors of the (...) coupling system. Specifically, the initial learning parameters are optimized by prior-knowledge learning and a new self-adaptive adjustment strategy is also put forward. Subsequently, the stair-like control strategy and artificial sheep algorithm are used in rolling the optimization mechanism to replace the existing complex differential geometric solutions. Comparative experiments are carried out under different working conditions based on a PSP in China. The results show that the influence from coupling factors can be considerable and the proposed MPC strategy indicates superiority in voltage and load adjustment as well as the frequency oscillation suppression. (shrink)

Urban streetscapes are outdoor areas in which the general public can appreciate green landscapes and engage in outdoor activities along the street. This study tested the extent to which the degree of awareness of urban street trees impacts attention restoration and perceived restorativeness. We manipulated the degree of awareness of street trees. Participants were placed into four groups and shown different images: (a) streetscapes with absolutely no trees; (b) streetscapes with flashes of trees in which participants had minimal awareness of (...) the content; (c) streetscapes with trees; and (d) streetscapes with trees to which participants were told to pay attention. We compared the performance of 138 individuals on measures of attention and their evaluations of perceived restorativeness. Two main findings emerged. First, streetscapes with trees improved the performance of participants on attentional tests even without their awareness of the trees. Second, participants who had raised awareness of street trees performed best on the attentional test and rated the streetscapes as being more restorative. These findings enhance our knowledge about the role of an individual's awareness of restorative elements and have implications for designers and individuals who are at risk of attentional fatigue. (shrink)

This research empirically investigates the static and dynamic impacts of firms' digital transformation on environmental, social, and governance (ESG) performance by employing data of listed Chinese companies from 2011 to 2020 via estimations of propensity score matching and difference in differences. First, we find that digital transformation does some good to improve firms' ESG, which is confirmed after conducting several robustness tests. Second, digital transformation benefits the three aspects of ESG (environmental performance, social responsibility, and governance), and its impact is (...) dynamic, promote ESG two years after the digital reform. Third, the impact of digital transformation on ESG is not constant among different firms. Specifically, digital transformation's impact on ESG is stronger among firms located in western or central regions of China and to those in polluting and competitive industries, as well as among non-stated-owned enterprises. (shrink)

This paper provides an explanation for Gadamer’s inconsistent ideas of the symbol in his works, arguing that his concept of the symbol has evolved from a less-authentic experience to an authentic experience. In Truth and Method, the symbol is defined as having an instituted meaning and substitution function, and is devalued as a pure appearance of the real, which is less authentic than the artistic presentation that occasions the coming-into-existence events of the real. Later, in “The Relevance of the Beautiful”, (...) Gadamer elevates the symbol to the same status as the work of art, and uses it to defend the work of art’s inexhaustibility and irreplaceability in communicating meanings and revealing truth. Gadamer’s changed concept of the symbol also serves to justify the universality of philosophical hermeneutics in addressing modern art-related issues, particularly those involving the speechlessness, definition, and technological reproductions of art. (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)

With the ongoing coronavirus disease 2019 pandemic, technological, socio-political, and institutional changes have led to a “new normal” competitive landscape, firms must make longer-term strategic changes to deal with short-term discontinuities and great uncertainties to acquire sustainable advantage. Based on regulatory focus theory and upper echelons theory, this study explores the relationship between CEO regulatory focus and corporate strategic change and examines the moderating effects of analysts’ optimism bias in earning forecasts. The study uses data from A-share-listed companies in China (...) during 2010–2018. We find that CEO promotion focus is positively associated with strategic change, while CEO prevention focus is negatively associated with strategic change. We also find analysts’ optimism bias in earning forecasts would moderate these relationships. (shrink)

We are of the opinion that there is also identity between erroneous thinking and existence. Our opinion is based on the following facts.

Drowsy driving is a major cause of automobile accidents. Previous studies used neuroimaging based approaches such as analysis of electroencephalogram (EEG) activities to understand the brain dynamics of different cortical regions during drowsy driving. However, the coupling between brain regions responding to this vigilance change is still unclear. To have a comprehensive understanding of neural mechanisms underlying drowsy driving, in this study we use transfer entropy, a model-free measure of effective connectivity based on information theory. We investigate the pattern of (...) information transfer between brain regions when the vigilance level, which is derived from the driving performance, changes from alertness to drowsiness. Results show that the couplings between pairs of frontal, central, and parietal areas increased at the intermediate level of vigilance, which suggests that an enhancement of the cortico-cortical interaction is necessary to maintain the task performance and prevent behavioral lapses. Additionally, the occipital-related connectivity magnitudes monotonically decreases as the vigilance level declines, which further supports the cortical gating of sensory stimuli during drowsiness. Neurophysiological evidence of mutual relationships between brain regions measured by Transfer entropy might elucidate the understanding of cortico-cortical communication during drowsy driving. (shrink)

For several decades, researchers have debated whether attention is required for consciousness or not. Throughout this time, three particular paradigms — inattentional blindness, change blindness, and the attentional blink — have been extensively used to examine this relationship. In this chapter, we highlight many of the key findings that have been discovered using these paradigms, and discuss what these findings have taught us about the role attention plays in perceptual consciousness.