Current research considers business model innovation as a series of responses to technological change and market environment change. However, in practice, it is often business model innovation that leads to market innovation and subversion and then promotes a new round of iterative product renewal. This is because business model innovation is a value creation activity based on market demand, rather than a technology-oriented innovation behavior. Moreover, since the degree of demand manifestation varies, the degree of its influence on value creation (...) and thus the driving mechanism for business model innovation vary significantly, and the duality of market-oriented theory is introduced to explore how firms go about achieving business model innovation based on different demand characteristics and how the results of firms’ integration of market information work. Through regression analysis of 230 sample enterprises, the results show that both responsiveness and proactive market orientation have a significant positive impact on business model innovation. In contrast, market information integration has a positive regulatory effect on the two groups of relationships. (shrink)

Background: Social media has become an integrated part of nursing profession, requiring nursing students to develop confidentiality and professional fitness to practice. The aim of this study was to investigate nursing students’ usage, professionalism and attitudes toward social media. Methods: A cross-section study was conducted online among undergraduate nursing students (n = 654). Questionnaires of self-directed learning, self-efficacy and usage and views toward social media were administered. Ethical considerations: Ethical approval was obtained from the Hubei University of Chinese Medicine. Results: (...) All participants were social media users. QQ (93.2%) was the most frequently used. 74.5% respondents spent 2–6 h on social media daily. The majority held positive attitudes toward social media. Year group and gender had influence on perceptions and attitudes toward social media. Furthermore, 81.5% students believed that social media positively influenced self-directed learning. Self-directed learning and learning motivation acted as predictors of the attitudes toward social media. Meanwhile, 67.3% students had posted personal photos and videos online, and 82.4% of them did not have privacy setting on social media. In addition,13.8% students attacked others or posted improper photos online. 22.9% participants witnessed improper posts from schoolmates or teachers, such as complaints about schoolmates or teachers (22.2%), foul language (11.1%), violence (3.9%), sexually suggestive photos (2.6%) and patient confidentiality (0.7%). In all, 15.0% respondents accepted “friend request” from patients. A total of 58.2% students were not aware of professional standards of behavior online for health care providers. In addition, 52.3% participants insisted that it is essential to develop social media and professionalism course for nursing students. Conclusion: Nursing students use social media extensively. Some students are at risk of carrying out unprofessional behavior which have detrimental effects on students’ future opportunities. This suggests that best practices and training in nurse education should be implemented to help students to be informed of professionalism. (shrink)

Facial expressions of emotion play an important role in human social interactions. However, posed expressions of emotion are not always the same as genuine feelings. Recent research has found that facial expressions are increasingly used as a tool for understanding social interactions instead of personal emotions. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed (deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. With recent advances in computer vision and (...) machine learning techniques, rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges in this nascent field. (shrink)

Critical evaluation of Śaṅkarapādabhūṣaṇam of Raghunāthasūri, presenting Advaita point of view against the Dvaita school in Hindu philosophy.

While directors’ task boundaries are usually ambiguous, some of their activities or behaviors clearly constitute their formal duties, whereas others are usually perceived as organizational citizenship behavior. Applying identity theory, we present a theoretical model that demonstrates one of the key drivers for directors to engage in OCB with a focus on their role identity. We argue that an individual director’s role identity is one of the key factors that motivate directors to engage in OCB. Furthermore, we propose that two (...) board-level contingencies, board capital, and informal board hierarchy order, can moderate the effect of directors’ role-identity salience on their OCB. That is, low levels of board capital and directors’ higher positions in a board’s informal hierarchy enhance directors’ motivation to engage in OCB. (shrink)

Adaptive dynamic programming, which belongs to the field of computational intelligence, is a powerful tool to address optimal control problems. To overcome the bottleneck of solving Hamilton–Jacobi–Bellman equations, several state-of-the-art ADP approaches are reviewed in this paper. First, two model-based offline iterative ADP methods including policy iteration and value iteration are given, and their respective advantages and shortcomings are discussed in detail. Second, the multistep heuristic dynamic programming method is introduced, which avoids the requirement of initial admissible control and achieves (...) fast convergence. This method successfully utilizes the advantages of PI and VI and overcomes their drawbacks at the same time. Finally, the discrete-time optimal control strategy is tested on a power system. (shrink)

Public concern over major agricultural product safety incidents, such as swine flu and avian flu, can intensify financial losses in the livestock and poultry industries. Crawler technology were applied to reviewed the Weibo social media discussions on the African Swine Fever incident in China that was reported on 3 August 2018, and used content analysis and network analysis to specifically examine the online public opinion network dissemination characteristics of verified individual users, institutional users and ordinary users. It was found that: (...) attention paid to topics related to “epidemic,” “treatment,” “effect” and “prevent” decrease in turn, with the interest in “prevent” increasing significantly when human infections were possible; verified individual users were most concerned about epidemic prevention and control and play a supervisory role, the greatest concern of institutional users and ordinary users were issues related to agricultural industry and agricultural products price fluctuations respectively; among institutional users, media was the main opinion leader, and among non-institutional users, elites from all walks of life, especially the food safety personnel acted as opinion leaders. Based on these findings, some policy suggestions are given: determine the nature of the risk to human health of the safety incident, stabilizing prices of relevant agricultural products, and giving play to the role of information dissemination of relevant institutions. (shrink)

This study investigates the internationalization of small family businesses by classifying the effects of external socioemotional wealth vs. internal socioemotional wealth. The study involved 2,704 small family businesses in China, and the results support the hypothesis that family reputation has a positive effect on internationalization, while family involvement has a negative effect on internationalization. Moreover, entrepreneurial spirit reinforces the positive effect of family reputation on internationalization and enhances the negative relationship between family involvement and internationalization. This study contributes by examining (...) the effect of entrepreneurial spirit as a potential balancing factor for the paradoxical influence of internal vs. external socioemotional wealth. (shrink)

Corporate financial misconduct has garnered increased interest in business ethics research. Although prior research has provided insights into the consequences of financial misconduct, our understanding of why investors react differently to similar instances of misconduct, especially in emerging markets, remains limited. In this study, we first argue that direct information on the severity of misconduct is the primary basis for investors’ evaluations. Next, drawing on screening theory, we theorize that in contexts characterized by high information asymmetry, indirect information about existing (...) firm commitment cues plays a vital screening role by demonstrating the firm’s legitimacy and capability. Subsequently, we develop a tripod framework that integrates the social, market, and strategy dimensions as firm commitment cues that serve as fundamental screening mechanisms to mitigate the adverse effect of misconduct severity on investor reactions. We use a sample of 344 Chinese listed firms that engaged in financial misconduct during 2009–2019 and find that greater misconduct severity results in more negative investor reactions. However, this negative relationship is weakened when the firm demonstrates stronger social and strategy commitments but not stronger market commitment. (shrink)

Morin suggested that one of the reasons for the difficulty in standardizing graphic codes is that the production of spoken language reduces the need for graphic codes. Here we try to extend their claims from a psychological perspective, which allows us to conclude that the puzzle of ideography is perhaps related to human psychological traits and psychological evolution.

This study created a motion graphic animation about the danger of snakes within a story telling structure, which is different from a traditional science animation that relies on explanatory language to explain the scientific concept. The effects of the two types of animations on children’s attentional perception on snakes were compared by an inattentional blindness task. Three groups of children undertook the IB task with one control group who did not watch the animation and the other two groups who watched (...) the MG and the traditional styled animation, respectively in advance. The results showed that: Children who watched the animation were significantly more likely to detect the unexpected snake images in the IB task than those who did not watch the animation; Children who watched the MG animation showed a higher detection rate on the snake images than those who watched the traditional animation. The findings indicate that the intervention of animation would increase children’s attentional perception on the key concepts significantly. The MG animation has more impact than the traditional animation on children’s attentional perception on the key information. This study demonstrates that MG animation may have a significant value in promoting science education for young children that merits further explorations in depth. (shrink)

Robot manipulators have been extensively used in complex environments to complete diverse tasks. The teleoperation control based on human-like adaptivity in the robot manipulator is a growing and challenging field. This paper developed a disturbance-observer-based fuzzy control framework for a robot manipulator using an electromyography- driven neuromusculoskeletal model. The motion intention was estimated by the EMG-driven NMS model with EMG signals and joint angles from the user. The desired torque was transmitted into the desired velocity for the robot manipulator system (...) through an admittance filter. In the robot manipulator system, a fuzzy logic system, utilizing an integral Lyapunov function, was applied for robot manipulator systems subject to model uncertainties and external disturbances. To compensate for the external disturbances, fuzzy approximation errors, and nonlinear dynamics, a disturbance observer was integrated into the controller. The developed control algorithm was validated with a 2-DOFs robot manipulator in simulation. The results indicate the proposed control framework is effective and crucial for the applications in robot manipulator control. (shrink)

Reading disability has been considered as a disconnection syndrome. Recently, an increasing number of studies have emphasized the role of subcortical regions in reading. However, the majority of research on reading disability has focused on the connections amongst brain regions within the classic cortical reading network. Here, we used graph theoretical analysis to investigate whether subcortical regions serve as hubs during reading both in Chinese children with reading disability and in age-matched typically developing children using a visual rhyming judgment task (...) and a visual meaning judgment task. We found that the bilateral thalami were the unique hubs for typically developing children across both tasks. Additionally, subcortical regions were also unique hubs for typically developing children but only in the rhyming task. Among these subcortical hub regions, the left pallidum showed reduced connectivity with inferior frontal regions in the rhyming judgment but not semantic task in reading disabled compared with typically developing children. These results suggest that subcortical-cortical disconnection, which may be particularly relevant to the phonological and phonology-related learning process, may be associated with Chinese reading disability. (shrink)

The purpose is to minimize the substantial losses caused by public health emergencies to people’s health and daily life and the national economy. The tuberculosis data from June 2017 to 2019 in a city are collected. The Structural Equation Model is constructed to determine the relationship between hidden and explicit variables by determining the relevant indicators and parameter estimation. The prediction model based on Artificial Neural Network and Convolutional Neural Network is constructed. The method’s effectiveness is verified by comparing the (...) prediction model’s loss value and accuracy in training and testing. Meanwhile, 50 pieces of actual cases are tested, and the warning level is determined according to the T-value. The results show that comparing and analyzing ANN, CNN, and the hybrid network of ANN and CNN, the hybrid network’s accuracy is higher than the other two algorithms, 89.1 and 90.1%. Also, the hybrid network has sound prediction effects and accuracy when predicting actual cases. Therefore, the early warning method based on ANN in deep learning has better performance in public health emergencies’ early warning, which is significant for improving early warning capabilities. (shrink)

This meta-analysis examines the relationship between materialism and subjective wellbeing in the Chinese population. Fifty-six relevant studies covering the period from 1998 to 2022 were included in the meta-analysis. Fifty-eight independent effect sizes from a total of 52,368 participants were obtained to calculate the mean effect sizes. Materialistic values correlated with significantly lower subjective wellbeing, while the mean effect size for extrinsic aspirations was found to be not significant. The effect sizes varied across different types of wellbeing outcomes. The associations (...) were also moderated by certain demographic factors, methodological factors, publication features, and economic indicators. We discuss our limitations and the implications for future research. (shrink)

A pathogenic connection between autoreactive T cells, fungal infection, and carcinogenesis has been demonstrated in studies of human autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy as well as in a mouse model in which kinase-dead Ikkα knock-in mice develop impaired central tolerance, autoreactive T cell–mediated autoimmunity, chronic fungal infection, and esophageal squamous cell carcinoma, which recapitulates APECED. IκB kinase α is one subunit of the IKK complex required for NF-κB activation. IKK/NF-κB is essential for central tolerance establishment by regulating the development of medullary thymic (...) epithelial cells that facilitate the deletion of autoreactive T cells in the thymus. In this review, we extensively discuss the pathogenic roles of inborn errors in the IKK/NF-κB loci in the phenotypically related diseases APECED, immune deficiency syndrome, and severe combined immunodeficiency; differentiate how IKK/NF-κB components, through mTEC, T cells/leukocytes, or epithelial cells, contribute to the pathogenesis of infectious diseases, autoimmunity, and cancer; and highlight the medical significance of IKK/NF-κB in these diseases. IKK/NF-κB regulates the expression of many genes that encode proteins involved in many crucial biological functions, such as immunity, tissue homeostasis, and fungal/bacterial/viral infections. Also, IKKα plays anti-tumor activities in many organs independently of NF-κB pathways. Thus, an inborn error in one of these gene loci can cause severe human diseases through these complicated mechanisms. (shrink)

Residual useful lifetime prediction plays a key role of failure prediction and health management in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization algorithm to estimate the (...) prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models. (shrink)

Goal-directed spatial decision making video games combine spatial mapping, memory, and reward; all of which can involve hippocampal excitation through suppression of an inhibitory neurotransmitter, γ-aminobutyric acid. In this study, GABA was measured before and after 30 min of video game play within a voxel around the hippocampus. It was predicted that all participants would experience a decrease in GABA during gaming as a result of in-game rewards; and, those who were most competitive with the goal-directed spatial decision making game (...) would display lower hippocampal GABA concentrations after gaming. Those who were not competitive, because they were too skilled or not skilled enough, would demonstrate higher hippocampal GABA concentrations after gaming. While there were no significant differences in hippocampal GABA before and after gaming for gamers and non-gamers alike, there was a significant quadratic regression between performance on a spatial working memory task and post-gaming hippocampal GABA concentrations. (shrink)

Background: Freezing of gait is a common symptom in Parkinson’s disease and can be difficult to treat with dopaminergic medications or with deep brain stimulation. Novel stimulation paradigms have been proposed to address suboptimal responses to conventional DBS programming methods. Burst-cycling deep brain stimulation delivers current in various frequencies of bursts, while maintaining an intra-burst frequency identical to conventional DBS.Objective: To evaluate the safety and tolerability of BCDBS in PD patients with FOG.Methods: Ten PD subjects with STN or GPi DBS (...) and complaints of FOG were recruited for this single center, single blinded within-subject crossover study. For each subject, we compared 4, 10, and 15 Hz BCDBS to conventional DBS during the PD medication-OFF state.Results: There were no serious adverse events with BCDBS. It was feasible and straightforward to program BCDBS in the clinic setting. The benefit was comparable to conventional DBS in measures of FOG, functional mobility and in PD motor symptoms. BCDBS had lower battery consumption when compared to conventional DBS.Conclusions: BCDBS was feasible, safe and well tolerated and it has potential to be a viable future DBS programming strategy. (shrink)

Identifying important entities in software systems has many implications for effective resource allocation. Complex network research opens new opportunities for identifying important entities from software networks. However, the existing methods only focus on identifying important classes. Little work has been done on the identification of important packages. Moreover, the metrics they used to quantify the class importance are only designed for unweighted software networks and cannot fit in with the weighted software networks. To overcome these limitations, in this article, we (...) introduce the weighted k-core decomposition method to identify the important packages. First, we use a weighted software network to describe packages and their internal dependencies. Second, we use Wk-core to partition a software network into a layered structure. Then, the packages that are denoted by the nodes within the main core are the identified important packages. To evaluate our method, we use a variant of the susceptible–infectious–recovered model to examine the spreading influence of the nodes in six real weighted software networks. The results show that our method can well identify influential nodes, better than other four methods. Furthermore, we demonstrate our method on two software networks and show that the important packages identified by our method are more meaningful from a software engineering perspective when compared with the other methods. (shrink)

Philosophy, Modern -- 20th century ; Critical thinking.

本卷收入胡适哲学与文化方面的论文、函牍、讲演、札记80余篇。其中包括实验主义、我们对于西洋近代文明的态度等重要文章。所收文章全面反映了胡适哲学思想、学术主张和对于中西文化的态度,对于了解和研究胡适本人 以及现代中国学术史、现代中国启蒙运动等内容。.