Anti-intellectualists claim that knowledge-how requires at least a corresponding ability or performance success that includes non-intellectual components. They argue that an insistence on the close relationship between knowledge-how and performance success is needed to account for our intuitions on the practical aspects of knowledge-how. In this paper, we examine three main anti-intellectualist proposals for what constitutes performance success, those of Hawley, Noë, and Kumar, and argue that all of them are non-informative in a practical manner. We further point out that (...) the problem of non-informativeness is dominant in anti-intellectualism. (shrink)

This study derives an improved model of managers' decision-making behavior regarding possibly failing projects. Instead of adopting cognitive moral development used by Rutledge and Karim (Accounting, Organization and Society 24, 173-184, 1999) this investigation uses the agency theory framework to consider individual moral philosophy for the improvement of decisions regarding possibly failing projects. This research hypothesizes that a manager with low relativism has a stronger tendency to discontinue a possibly failing project than one with high relativism when agency problem are (...) present or absent. Also, this study suggests that a manager with high idealism has a stronger tendency to discontinue a possibly failing project than one with low idealism. Through experiments this work finds that agency problem is a significant factor on decisions regarding possibly failing projects in all circumstances. This result is consistent with prior literature and shows agency problem universality. Next, the empirical evidence supports the hypothesis that a project manager with low relativism tends to discontinue a possibly failing project more than one with high relativism, showing that individual moral philosophy can partially mitigate the phenomenon of escalating managers' commitment. (shrink)

This study derives an improved model of managers’ decision-making behavior regarding possibly failing projects. Instead of adopting cognitive moral development used by Rutledge and Karim this investigation uses the agency theory framework to consider individual moral philosophy for the improvement of decisions regarding possibly failing projects. This research hypothesizes that a manager with low relativism has a stronger tendency to discontinue a possibly failing project than one with high relativism when agency problem are present or absent. Also, this study suggests (...) that a manager with high idealism has a stronger tendency to discontinue a possibly failing project than one with low idealism. Through experiments this work finds that agency problem is a significant factor on decisions regarding possibly failing projects in all circumstances. This result is consistent with prior literature and shows agency problem universality. Next, the empirical evidence supports the hypothesis that a project manager with low relativism tends to discontinue a possibly failing project more than one with high relativism, showing that individual moral philosophy can partially mitigate the phenomenon of escalating managers’ commitment. (shrink)

This paper examines the influence of CEO career horizon problems on corporate social responsibility. We assume that as CEOs are getting older, they tend to disengage in CSR due to their shorter career horizons. We further argue that high levels of industry-level discretion and blockholder ownership amplify the negative effects of CEO age on CSR. Using a panel sample of US-based firms over 2004–2009, we do not find the main effect of CEO age on CSR, but find support for the (...) moderating effects, such that CEO age is negatively associated with CSR when there are high levels of ILD and blockholder ownership. Therefore, results suggest that CEO career horizon problems matter for CSR when CEOs have sufficient discretion over the firm’s strategic decisions and outside blockholders put more pressure on CEOs to engage in financial earning management. (shrink)

It is interesting to explore the effects of second language acquisition on anatomical change in brain at different stages for the neural structural adaptations are dynamic. Short-term Chinese training effects on brain anatomical structures in alphabetic language speakers have been already studied. However, little is known about the adaptations of the gray matter induced by acquiring Chinese language for a relatively long learning period in adult alphabetic language speakers. To explore this issue, we recruited 38 Indian overseas students in China (...) as our subjects. The learned group included 17 participants who had learned Mandarin Chinese for an average of 3.24 years and achieved intermediate Chinese language proficiency. The control group included 21 subjects who had no knowledge about Chinese. None of the participants had any experience in learning logographic and tonal language before Chinese learning. We found that the learned group had significantly greater gray matter volume in the left lingual gyrus compared with the control group; the Chinese characters’ reading accuracy was significantly and positively correlated to the GMV in the left LG and fusiform gyrus across the two groups; and in the learned group, the duration of Chinese learning was significantly and positively correlated with the GMV in the left inferior frontal gyrus after correction for multiple comparisons with small volume corrections. Our structural imaging findings are in line with the functional imaging studies reporting increased brain activation induced by Chinese acquisition in alphabetic language speakers. The regional gray matter changes reflected the additional requirements imposed by the more difficult processing of Chinese characters and tones. The present study also show that the biological bases of the adaptations induced by a relatively long period of Chinese learning were limited in the common areas for first and foreign language processing. (shrink)

The COVID-19 pandemic has had a significant impact on education worldwide. The disease first hit China and numerous Chinese cities then started to conduct online courses. Therefore, this study aims to explore the effect of the Shanghai students’ emotional intelligence, learning motivation, and self-efficacy on their academic achievement when they participated in online English classes during the latter phase of the pandemic in China. Furthermore, the research also examines whether the students’ emotional intelligence can influence their academic achievement through the (...) mediation effect of their learning motivation and self-efficacy. Social Cognitive Theory and the social cognitive Expectancy-Value Model were employed to build the research framework, and the method of structural equation modeling was utilized to conduct the model verification. Ten universities in Shanghai, China were selected for sampling. In total, 450 students were surveyed of which 404 questionnaires were valid. The results show that the students’ emotional intelligence did not directly affect their academic achievement. Nevertheless, the students’ emotional intelligence had a positive effect on their learning motivation and self-efficacy. In addition, mediation analysis showed that the relation between emotional intelligence and academic achievement was sequentially mediated by learning motivation and self-efficacy. (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 paper presents an adaptive fuzzy sliding-mode controller for multiple Euler–Lagrange systems communicated with directed topology. Based on the graph theory and Lyapunov–Krasovskii functions, a delay-dependent sufficient condition for the existence of sliding surfaces is given in terms of linear matrix inequalities. The asymptotic stability is analyzed by using the Lyapunov method in the presence of unknown parametric dynamics, actuator faults, and time-varying delays. The usage of adaptive techniques is to adapt the unknown parameters so that the objective of globally (...) asymptotic stability is achieved. Finally, simulation results are provided to illustrate the effectiveness of the proposed control scheme. (shrink)

Balancing self‐renewal and differentiation of stem cells is an important issue in stem cell and cancer biology. Recently, the Drosophila neuroblast (NB), neural stem cell has emerged as an excellent model for stem cell self‐renewal and tumorigenesis. It is of great interest to understand how defects in the asymmetric division of neural stem cells lead to tumor formation. Here, we review recent advances in asymmetric division and the self‐renewal control of Drosophila NBs. We summarize molecular mechanisms of asymmetric cell division (...) and discuss how the defects in asymmetric division lead to tumor formation. Gain‐of‐function or loss‐of‐function of various proteins in the asymmetric machinery can drive NB overgrowth and tumor formation. These proteins control either the asymmetric protein localization or mitotic spindle orientation of NBs. We also discuss other mechanisms of brain tumor suppression that are beyond the control of asymmetric division. (shrink)

This study investigated the relationship between death anxiety and experienced meaning in life. Six hundred and forty-eight Chinese college students were surveyed using the Death Anxiety Scale, the Prosocial Behavior Scale, and the Meaning in Life Scale. The results showed that death anxiety predicted experienced meaning through three pathways: the first one was through search for meaning singly; the second one was through prosocial behavior singly; and the third one was through search for meaning and prosocial behavior serially, which accounted (...) for the highest proportion of the total effect. This study highlights the positive side of death anxiety. (shrink)

The impostor phenomenon refers to a false internal experience of low intelligence or ability that is associated with anxiety, depression, psychological distress, and burnout. The emotions associated with the IP affect not only personal mental health but also patient care. To address this issue, we need to completely understand the prevalence of and factors related to the IP and ways to resolve/overcome IP feelings. The aim of this scoping review was to identify the existing evidence regarding the IP among nursing (...) students and nurses and determine gaps that can be addressed in future research. We conducted our study based on the scoping review methodological framework proposed by Arksey and O’Malley and advanced by Levac et al.. After searching the Embase, PubMed, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ProQuest databases, we identified 11 studies for inclusion in this review. We found that while the IP exists in nursing students and nurses, clinical nurse specialist students and final-year nursing students are at significant risk of impostor behavior. We also found that research in the nursing field has focused on the prevalence of and factors related to the IP, but few studies have addressed ways to resolve/overcome IP feelings. Thus, research in this area should be increased. This scoping review presents research gaps that may serve as a starting point for future work on the IP in the nursing field. (shrink)

Robust techniques critically improve bearing-only target localization when the relevant measurements are being corrupted by impulsive noise. Resistance to isolated gross errors refers to the conventional least absolute residual method, and its estimate can be determined by linear programming when pseudolinear equations are set. The LAR approach, however, cannot reduce the bias attributed to the correlation between system matrices and noise vectors. In the present study, perturbations are introduced into the elements of the system matrix and the data vector simultaneously, (...) and the total optimization problem is formulated based on least absolute deviations. Subsequently, an equivalent form of total least absolute residuals is obtained, and an algorithm is developed to calculate the robust estimate by dual ascent algorithms. Moreover, the performance of the proposed method is verified through the numerical simulations by using two types of localization geometries, i.e., random and linear. As revealed from the results, the TLAR algorithm is capable of exhibiting significantly higher localization accuracy as compared with the LAR method. (shrink)

Based on social contagion theory, this study examines the mediating role of formalization of organizational structure between organizational identification and faculty conformity. It also analyzes the moderating role of conflict management style between organizational identification and faculty conformity, and formalization of organizational structure and faculty conformity in universities in Hunan province, China. Convenience sampling was employed to select the subjects, and 1,024 Chinese faculty members including teaching staff and administrative staff were surveyed online with the questionnaire consist of organizational identification (...) scale, organizational formalization scale, conflict management style scale, and faculty conformity scale. 1,000 valid respondents were collected and SPSS was used to analyze the data through descriptive analysis, analysis of variance, correlation analysis, and hierarchical multiple regression. The results showed that faculty members’ organizational identification had a positive effect on faculty conformity; formalization of organizational structure partially mediated the relationship between organizational identification and faculty conformity; and conflict management style positively moderated the relationship between organizational identification and faculty conformity and between formalization of organizational structure and faculty conformity. University administrators are often the initiators of conformity as they are responsible for formulating internal regulations. Therefore, they must monitor and coordinate workplace conflicts, resolve and guide faculty conformity, promote individual faculty members’ self-improvement, and foster steady organizational development. (shrink)

Biomedical ontologies are emerging as critical tools in genomic and proteomic research where complex data in disparate resources need to be integrated. A number of ontologies exist that describe the properties that can be attributed to proteins; for example, protein functions are described by Gene Ontology, while human diseases are described by Disease Ontology. There is, however, a gap in the current set of ontologies—one that describes the protein entities themselves and their relationships. We have designed a PRotein Ontology (PRO) (...) to facilitate protein annotation and to guide new experiments. The components of PRO extend from the classification of proteins on the basis of evolutionary relationships to the representation of the multiple protein forms of a gene (products generated by genetic variation, alternative splicing, proteolytic cleavage, and other post-translational modification). PRO will allow the specification of relationships between PRO, GO and other OBO Foundry ontologies. Here we describe the initial development of PRO, illustrated using human proteins from the TGF-beta signaling pathway. (shrink)

Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder, definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls. To enhance the interpretability of the machine learning model, (...) the study has processed three levels of assessments including model-level assessment, feature-level assessment, and biology-level assessment. According to these three levels assessment, the study has identified neuroimaging markers of ASD including the opercular part of bilateral inferior frontal gyrus, the orbital part of right inferior frontal gyrus, right rolandic operculum, right olfactory cortex, right gyrus rectus, right insula, left inferior parietal gyrus, bilateral supramarginal gyrus, bilateral angular gyrus, bilateral superior temporal gyrus, bilateral middle temporal gyrus, and left inferior temporal gyrus. In addition, negative correlations between the communication skill score in the Autism Diagnostic Observation Schedule and regional gray matter volume in the gyrus rectus, left middle temporal gyrus, and inferior temporal gyrus have been detected. A significant negative correlation has been found between the communication skill score in ADOS_G and the orbital part of the left inferior frontal gyrus. A negative correlation between verbal skill score and right angular gyrus and a significant negative correlation between non-verbal communication skill and right angular gyrus have been found. These findings in the study have suggested the GM alteration of ASD and correlated with the clinical severity of ASD disease symptoms. The interpretable machine learning framework gives sight to the pathophysiological mechanism of ASD but can also be extended to other diseases. (shrink)

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)

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)

Schizophrenia is a serious mental illness characterized by a disconnection between brain regions. Transcranial magnetic stimulation is a non-invasive brain intervention technique that can be used as a new and safe treatment option for patients with schizophrenia with drug-refractory symptoms, such as negative symptoms and cognitive impairment. However, the therapeutic effects of transcranial magnetic stimulation remain unclear and would be investigated using non-invasive tools, such as functional connectivity. A longitudinal design was adopted to investigate the alteration in FC dynamics using (...) a dynamic functional connectivity approach in patients with schizophrenia following high-frequency repeated transcranial magnetic stimulation with the target at the left dorsolateral prefrontal cortex. Two groups of schizophrenia inpatients were recruited. One group received a 4-week high-frequency rTMS together with antipsychotic drugs, while the other group only received antipsychotic drugs. Resting-state functional magnetic resonance imaging and psychiatric symptoms were obtained from the patients with schizophrenia twice at baseline and after 4-week treatment. The dynamics was evaluated using voxel- and region-wise FC temporal variability resulting from fMRI data. The pattern classification technique was used to verify the clinical application value of FC temporal variability. For the voxel-wise FC temporary variability, the repeated measures ANCOVA analysis showed significant treatment × time interaction effects on the FC temporary variability between the left DLPFC and several regions, including the thalamus, cerebellum, precuneus, and precentral gyrus, which are mainly located within the cortico-thalamo-cerebellar circuit. For the ROI-wise FC temporary variability, our results found a significant interaction effect on the FC among CTCC. rTMS intervention led to a reduced FC temporary variability. In addition, higher alteration in FC temporal variability between left DLPFC and right posterior parietal thalamus predicted a higher remission ratio of negative symptom scores, indicating that the decrease of FC temporal variability between the brain regions was associated with the remission of schizophrenia severity. The support vector regression results suggested that the baseline pattern of FC temporary variability between the regions in CTCC could predict the efficacy of high-frequency rTMS intervention on negative symptoms in schizophrenia. These findings confirm the potential relationship between the reduction in whole-brain functional dynamics induced by high-frequency rTMS and the improvement in psychiatric scores, suggesting that high-frequency rTMS affects psychiatric symptoms by coordinating the heterogeneity of activity between the brain regions. Future studies would examine the clinical utility of using functional dynamics patterns between specific brain regions as a biomarker to predict the treatment response of high-frequency rTMS. (shrink)

Through the analysis of facial feature extraction technology, this paper designs a lightweight convolutional neural network. The LW-CNN model adopts a separable convolution structure, which can propose more accurate features with fewer parameters and can extract 3D feature points of a human face. In order to enhance the accuracy of feature extraction, a face detection method based on the inverted triangle structure is used to detect the face frame of the images in the training set before the model extracts the (...) features. Aiming at the problem that the feature extraction algorithm based on the difference criterion cannot effectively extract the discriminative information, the Generalized Multiple Maximum Dispersion Difference Criterion and the corresponding feature extraction algorithm are proposed. The algorithm uses the difference criterion instead of the entropy criterion to avoid the “small sample” problem, and the use of QR decomposition can extract more effective discriminative features for facial recognition, while also reducing the computational complexity of feature extraction. Compared with traditional feature extraction methods, GMMSD avoids the problem of “small samples” and does not require preprocessing steps on the samples; it uses QR decomposition to extract features from the original samples and retains the distribution characteristics of the original samples. According to different change matrices, GMMSD can evolve into different feature extraction algorithms, which shows the generalized characteristics of GMMSD. Experiments show that GMMSD can effectively extract facial identification features and improve the accuracy of facial recognition. (shrink)

Modern education attaches great importance to interdisciplinary skills, among which computational thinking is a core element, and heralds a new era. IT application has shaped education in the 21st century. Computational thinking has provided further impetus for building an all-encompassing social network and fostering a DIY culture enabled by digital technologies. One empirical study used four apps to test children's development in computational thinking and fluency. The article will help students overcome their fears of coding. Peer reviews provide students with (...) an opportunity to learn from each other and become more motivated. These reviews also serve as feedback for teachers to evaluate students' performance. Experimental design is used in this study, and a peer review system is implemented. Freshmen attending a programming class in a university are used as samples. At the class, students write computer programs with f-Chart, which provides a graphical user interface for students to learn programming logic and design. Zuvio, a cloud-based interactive response system, is used to conduct the peer reviews. The data of this study are analyzed through R. The results show not only an improvement in students' learning performance but also a gap between students' peer review scores and teachers' evaluation scores. Learning feedback and evaluation is crucial to transform education between students and teachers into a sustainable cycle system. (shrink)

Although legal terms are conventionally considered to have self-referential, self-closed meaning independent of context, a legal term only acquires its meaning within a given context. As long as the context varies, the meaning of the same legal term as a signifier may change correspondingly. Based on case studies by applying semiotics, we argue that a legal term is just a sign within its sign system; a legal term as an individual sign does not have any inherent meaning, and its meaning (...) can only exist in the relationship with other signs or sign systems. In other words, a legal term only denotes in a particular temporal and spatial context. Through this study, we conclude four propositions about a legal term as a sign: first, the connection of a legal term with a legal concept is relatively arbitrary; second, the meaning of a legal term exists in a sign system; third, a legal term can be subject to multiple interpretations; fourth, the defining of a legal term may be affected by other sign systems. (shrink)

Balancing Change and Tradition in Global Education Reform is an invaluable resource for policymakers, faculty, students, and anyone interested in how decisions made about the education system ultimately affect the quality of education, educational access, and social justice.

EDITORS’ INTRODUCTION This volume is a collection of papers presented at the international workshop on “Buddhist Approach to Global Education in Ethics” which is being held on May 13, 2019, at International Conference Center Tam Chuc, Ha Nam, Vietnam on the occasion of the 16th United Nations Day of Vesak Celebrations 2019. The aim is to throw new light on the values of the global ethical system with a focus on the Buddhist approach in deepening our understanding of how Buddhist (...) ethics can deliver a social change in the globalized world. REVIEW OF CONTENTS Prof. P. D. Premasiri in his paper titled “Universally valid ethical norms of Buddhism applicable to global education in ethics” deals with hindrance in determining the basis for global education in ethics and providing undeniable facts about the diversity involved in ethical norms, principles and attitudes of various global communities. The author also discusses the characteristics of Buddhist teaching on a humanistic approach to the moral life with perceptions of enlightened humans, i.e. ‘Knowledgeable Persons’ (vi¤¤å purisà). The paper places further emphasis on the necessity to draw the attention of educators to train the minds of humans on ethical choices in accordance with such decisions. The paper entitled “Teaching Buddhist Ethics through the Life of the Buddha and Jesus” by Abraham Velez De Cea has proposed a new approach to the Buddhist ethical way of teaching and its application through interpretations of the Buddha’s life from the perspective of virtue ethics and meditation. The purpose is to heighten the Buddhist contribution being made to global education in ethical issues. The paper is divided into two parts, Buddhist ethics as a form of virtue ethics and secondly, interpretation of the Buddha’s teachings from the perspective of virtue ethics and meditation. (shrink)

In the framework of transferable utility games, we modify the 2-person Davis–Maschler reduced game to ensure non-emptiness of the imputation set of the adapted 2-person reduced game. Based on the modification, we propose two new axioms: reduced game monotonicity and reduced dominance. Using RGM, RD, NE, Covariance under strategic equivalence, Equal treatment property and Pareto optimality, we are able to characterize the kernel.

本书分为文化精神,多元文化,公共政治,意识形态等部分,收录了人:宇宙的"本质镜"中国文化精神及其现代化文本解读:从"愚公移山"到"吴刚伐桂"等文章.