Many biologists, especially in ecology and evolution, analyze their data by estimating fits to a set of candidate models and selecting the best model according to the Akaike Information Criterion (AIC) or the Bayesian Information Criteria (BIC). When the candidate models represent alternative hypotheses, biologists may want to limit the chance of a false positive to a specified level. Existing model selection methodology, however, allows for only indirect control over error rates by setting a threshold for the difference in AIC (...) scores. We present a novel theoretical framework for parametric Neyman-Pearson (NP) model selection using information criteria that does not require a pre-data null and applies to three or more non-nested models simultaneously. We apply the theoretical framework to the Error Control for Information Criteria (ECIC) procedure introduced by Cullan et al. (J Appl Stat 47: 2565–2581, 2019), and we show it shares many of the desirable properties of AIC-type methods, including false positive and negative rates that converge to zero asymptotically. We discuss implications for the compatibility of evidentialist and severity-based approach to evidence in philosophy of science. (shrink)

The author- following his own research on the subject- argues that Wittgenstein ignores argumentation theory and in general, the problems of rhetoric and argumentation. From this point of view, he frames Stephen Toulmin’s reading of Wittgenstein, arguing that the British philosopher- who was a student of the Austrian- advocates precisely the same thesis. He explains that this happens in a very peculiar (rhetorical) context on Toulmin’s part; a context in which, in essence, Wittgenstein’s philosophy is being rehabilitated.

Cyberloafing is prevalent in the workplace and research has increasingly focused on its antecedents. This study aims to extend the cyberloafing literature from the perspective of perceived overqualification among civil servants. Drawing on equity theory, we examined the effect of POQ on cyberloafing, along with the mediating role of harmonious passion on the POQ–cyberloafing relationship and the moderating role of the need for achievement on strengthening the link between POQ and harmonious passion. Using time-lagged data from a sample of 318 (...) civil servants in China, we found that POQ was positively related to cyberloafing; harmonious passion mediated this relationship; the need for achievement moderated the effect of POQ on harmonious passion as well as the indirect effect of POQ on cyberloafing via harmonious passion. Based on the findings, we discussed theoretical and managerial implications and provided future research avenues. (shrink)

Based on the conservation of resources theory, this study developed a model linking social undermining to employees helping behaviors and work role performance via expression of guilt, with religious faith possessed by employees as a first-stage moderator. We argue that individuals will feel guilty if they perceive themselves as the perpetrators of the social undermining against their coworkers. Feeling guilt can potentially trigger prosocial responses (i.e., helping coworkers) and enhance work role performance for improving the situation. We contend that religious (...) faith that commands doing good with others further provides resources for managing these negative emotions to unleash a positive side of social undermining, such that the relation of social undermining with an expression of guilt will be strengthened. A multisource (supervisor-supervisee), multi-wave, and multi-context (education, healthcare, and banking) survey involving 281 employees largely supports our study hypotheses. The results indicated that social undermining is associated with more guilt expressions amid religious individuals, revealing higher prosocial and work role performance. For business ethics research, the current study unveils an important mediator—guilt expressions about wrongdoing—via which individuals’ social undermining behaviors at work, somewhat counterintuitively, lead to boost performance outcomes, and an employee’s religious faith helps a facilitator of this relationship. (shrink)

Introduction to special issue of Culture and Dialogue, on “Confucianism: Comparisons and Controversies,” co-edited with Henrique Schneider.

While previous studies have examined front-line teachers’ written feedback practices in second language (L2) writing classrooms, such studies tend to not take teachers’ language and sociocultural backgrounds into consideration, which may mediate their performance in written feedback provision. Therefore, much remains to be known about how L2 writing teachers with different first languages (L1) enact written feedback. To fill this gap, we designed an exploratory study to examine native English-speaking (NES) and non-native English-speaking (NNES) (i.e., Chinese L1) teachers’ written feedback (...) practices in the Chinese tertiary context. Our study collected 80 English as a foreign language (EFL) students’ writing samples with teacher written feedback and analyzed them from three aspects: Feedback scope, feedback focus, and feedback strategy. The findings of our study revealed that the two groups of teachers shared similar practices regarding feedback scope and feedback strategies. Both NES and NNES EFL teachers used a comprehensive approach to feedback provision, although NNES teachers provided significantly more feedback points than their NES peers and they delivered their feedback directly and indirectly. However, their practices differed greatly with regard to feedback focus. Specifically, when responding to EFL students’ writing, NES teachers showed more concern with global issues (i.e., content and organization), whereas NNES teachers paid more attention to linguistic errors. With a surge in the recruitment of expatriate NES and local NNES English teachers in China and other EFL countries, our study is expected to make a contribution to a better understanding of the two groups of EFL teachers’ pedagogical practices in written feedback provision and generate important implications for their feedback provision. (shrink)

Autonomous artificial intelligence (AI) systems can lead to unpredictable behavior causing loss or damage to individuals. Intricate questions must be resolved to establish how courts determine liability. Until recently, understanding the inner workings of “black boxes” has been exceedingly difficult; however, the use of Explainable Artificial Intelligence (XAI) would help simplify the complex problems that can occur with autonomous AI systems. In this context, this article seeks to provide technical explanations that can be given by XAI, and to show how (...) suitable explanations for liability can be reached in court. It provides an analysis of whether existing liability frameworks, in both civil and common law tort systems, with the support of XAI, can address legal concerns related to AI. Lastly, it claims their further development and adoption should allow AI liability cases to be decided under current legal and regulatory rules until new liability regimes for AI are enacted. (shrink)

From a classical perspective, multinational companies operate based on market determinants, but recent economic discussions emphasize the central role of the human cognitive system in the decision-making process, thereby giving birth to interdisciplinary fields such as behavioral economics and neuroeconomics. While neuroeconomics is still considered an emerging field, hitherto scant studies have investigated the reflection of cultural experiences on the nervous system. Moreover, the interpretation of cultural diversity in the decision-making process, especially from a neuroeconomic perspective, has not been explored. (...) In response, this study, aperspective research in nature, endeavors to research the neural responses to cultural diversity by contextualizing the neuroeconomic discussion within an MNC framework as one of the best multicultural settings. This study demonstrates that the internationalization process of MNCs is established on the cultural identity and integration of the executive. Through a neuroscientific lens, our findings prove that culture is a fundamental determinant of the cognitive makeup; therefore, cultural diversity in MNCs influences their decision-making process. Moreover, the performance of MNCs is driven by cultural harmonization at the executive level. Finally, the study reveals that the novel field of neuroeconomics is instrumental in identifying cultural intuitions on brain cells and the implications on economic decisions even at a corporate level. The main contribution of this study is the initiation of a multidisciplinary merge of the sociocultural and economic as well as neuroscientific fields, as a research center for MNCs’ decision-making processes. (shrink)

O referido artigo propõe apresentar uma reflexão diante da contribuição de uma didática crítica intercultural e decolonial para a construção de novas formas de se viver em sociedade. Baseando na teoria de Vera Candau, o texto busca evidenciar a importância de uma educação que valorize a diversidade cultural, com ênfase na promoção da equidade racial, além dos desafios encontrados tanto nas questões estruturais da educação, tanto nas forças que buscam uma internacionalização e padronização de práticas pedagógicas. Para a exposição dessas (...) ideias, foi feita a análise de partes do Projeto Político Pedagógico (PPP) da Escola Afro-Brasileira Maria Felipa, localizada na cidade de Salvador, Bahia, cuja a intencionalidade da proposta pedagógica tem como intuito, desde sua concepção, em ser uma escola afro-brasileira. A escola possui um currículo voltado para a redução das desigualdades raciais, assim como na valorização e promoção da cultura preta e afro-brasileira. O texto ressalta ainda, a importância de práticas pedagógicas interculturais e decoloniais que celebrem as múltiplas identidades e culturas como maneira a se sonhar com futuros possíveis, assim com o papel crucial da formação continuada de professores, para que estes se sintam aptos e seguros para incluírem a diversidade como parte fundamental de uma educação transformadora. (shrink)

In this paper, a generalized -dimensional Calogero–Bogoyavlenskii–Schiff equation is considered. Based on the Hirota bilinear method, three kinds of exact solutions, soliton solution, breather solutions, and lump solutions, are obtained. Breathers can be obtained by choosing suitable parameters on the 2-soliton solution, and lump solutions are constructed via the long wave limit method. Figures are given out to reveal the dynamic characteristics on the presented solutions. Results obtained in this work may be conducive to understanding the propagation of localized waves.

Journal of Chinese Philosophy, EarlyView.

Healthcare workers’ voice is of importance in decreasing medical accidents and improving the efficacy of hospital units. To investigate the impact and the underlying mechanisms of supervisors’ negative mood on healthcare workers’ voice behavior, based on the mood contagion perspective, we designed a cross-sectional study, with 299 healthcare workers from mainland China completed the questionnaires. The results indicated supervisors’ negative mood was positively related to healthcare workers’ negative mood, which further led to less constructive voice and more defensive voice. Moreover, (...) the healthcare worker’s emotional intelligence aspect of self-emotion appraisal moderated this relationship, but not others-emotion appraisal. We believe healthcare workers’ supervisors should pay attention to their negative mood expression and regulation. In the hope of reducing being influenced by supervisors’ negative mood, training about noticing and recognizing their own emotions are needed for healthcare workers. (shrink)

In this paper, we prove that: if κ is supercompact and the math formula Hypothesis holds, then there is a proper class of regular cardinals in math formula which are measurable in math formula. Woodin also proved this result independently [11]. As a corollary, we prove Woodin's Local Universality Theorem. This work shows that under the assumption of the math formula Hypothesis and supercompact cardinals, large cardinals in math formula are reflected to be large cardinals in math formula in a (...) local way, and reveals the huge difference between math formula-supercompact cardinals and supercompact cardinals under the math formula Hypothesis. (shrink)

What is Chinese Realism and how to update its research program? Realism analyses the world as it is – not as it should be. Realists, then, propose dealing with actual, real-world problems using actual, real-world instruments, such as incentives, rewards, and punishments. Once a major power in classical Chinese philosophy, Realism, or Legalism, fell out of favor early on in Chinese history. Its ideas, however, remain alive and powerful. This edited volume shows that many of the Legalist recipes for creating (...) strength, security, and order can still be applied today. Whether in international relations or corporate ethics, whether in the organization of the public sector or in the role that bureaucrats and politicians play, Realism offers unique ways of aligning these inherently particularistic actions with the broader common good. (shrink)

PurposeTo study the changes in functional connections between the left and right hemispheres of patients with high myopia and healthy controls by resting functional magnetic resonance imaging based on voxel-mirrored homotopic connectivity. To study the changes in resting-state functional connectivity between the left and right hemispheres of patients with HM and healthy controls at rest by using resting functional magnetic resonance imaging based on voxel-mirror homotopy connectivity.Patients and MethodsA total of 89 patients with HM and 59 HCs were collected and (...) matched according to gender, age, and education level. The VMHC method was used to evaluate the changes in rsFC between cerebral hemispheres, and a correlation analysis was carried out to understand the differences in brain functional activities between the patients with HM and the HCs.ResultsCompared with the HCs, the VMHC values of the putamen and fusiform in the HM group were significantly lower.ConclusionThis study preliminarily confirmed the destruction of interhemispheric functional connection in some brain regions of the patients with HM and provided effective information for clarifying the neural mechanism of patients with HM. (shrink)

We have been using feather development as a model for understanding the molecular basis of pattern formation and to explore the roles of homeoproteins, retinoids and adhesion molecules in this process. Two kinds of homeobox (Hox) protein gradients in the skin have been identified: a ‘microgradient’ within a single feather bud and a ‘macrogradient’ across the feather tract. The asynchronous alignment of different Hox macrogradients establishes a unique repertoire of Hox expression patterns in skin appendages within the integument, designated here (...) as the ‘Hox codes of skin appendages’. It is hypothesized that these Hox codes contribute to the phenotypic determination of skin appendages. High doses of retinoic acid cause a morphological transformation between feather and scale, while low doses of retinoic acid cause an alteration of the axial orientation of skin appendages. We have tested the ability of molecules directly involved in the feather formation process to mediate the action of the Hox codes, and surmise that adhesion molecules are potential candidates. Using specific Fabs to suppress the activity of adhesion molecules, we have found that L‐CAM is involved in the formation of the hexagonal pattern, N‐CAM is involved in mediating dermal condensations, tenascin is involved in feather bud growth and elongation, and integrin β‐1 is essential for epithelial‐mesenchymal interactions. More work is in progress to fully understand the molecular pathways regulating the feather formation process. (shrink)

The idea that natural selection acts on many levels—and not only at the level of organisms or individual genes—is increasingly accepted among biologists. However, it is not easy to reconcile this idea with the strictly “individualistic” conception of the evolutionary process that has always characterized Darwinian thought. Moreover, the individuality of some forms of life is a vague concept and therefore controversial. This is the case of Candidatus Magnetoglobus multicellularis, whose discovery immediately inspired the following question: Does the concept of (...) individuality have degrees? Alternatively, how far is this structure of prokaryotic cells from deserving to be called an organism? In this article, we propose a new conceptual scheme based on an idea of individuality that is not limited to organisms and that makes sense in terms of Darwinian evolution. In this conceptual scheme, selection at levels above that of the individual organism is interpreted as the evolutionary emergence of higher-level individuality. This proposal may serve as a basis on which to construct a promising hierarchical evolutionary theory. (shrink)

This paper firstly designs a five-dimensional model of learners’ characteristics and a three-dimensional model of English reading resources’ characteristics in a fragmented learning environment through literature research. At the same time, to make the learning resources meet the characteristics of fragmented learning time and space, the English Level 4 reading resources are reasonably designed and segmented to adapt to the needs of learners’ mobile fragmented learning. Then, combined with machine learning algorithms, an adaptive recommendation model of learning resources in English (...) fragmented reading is constructed. The algorithm-based adaptive recommendation algorithm for English fragmented reading resources is designed. Based on the generated decision trees, the expression rules are parsed to achieve adaptive pushing of resources. The results of this study show that adaptive recommendation of learning resources in English fragmented reading can help teachers to develop future resource recommendation strategies through effective data collection to adaptively push resources that are close to learners’ individual needs. The use of mobile by English learners to learn to read in a fragmented learning context enables targeted training in weak areas of English reading, thus enhancing different aspects of learners’ reading skills. (shrink)

Although the effects of pro-organizational motives on pro-organizational behaviors [i.e., unethical pro-organizational behavior and organizational citizenship behavior ] and their boundaries have been explored to some extent, extant studies are rather piecemeal and in need of synthesis and extension. Based on prior motivational research on pro-organizational behaviors, we developed a comprehensive contingent model in which moral identity and impression management motives would moderate the links between pro-organizational motives, UPB, and OCB. Adopting a time-lagged design, we collected data from 218 salespeople (...) in an internet technology service company in China. Results showed that pro-organizational motives were positively related to UPB and OCB. Moral identity weakened the impact of pro-organizational motives on UPB but strengthened the influence of pro-organizational motives on OCB. Furthermore, we found that impression management motives strengthened the effects of pro-organizational motives on UPB and OCB, and the interaction of impression management motives and pro-organizational motives was stronger on UPB than on OCB. Theoretical and practical implications, limitations, and future directions are discussed. (shrink)

The vigorous development of online education has produced massive amounts of education data. How to mine and analyze education big data has become an urgent problem in the field of education and big data knowledge engineering. As for the dynamic learning data, knowledge tracing aims to track learners’ knowledge status over time by analyzing the learners’ exercise data, so as to predict their performance in the next time step. Deep learning knowledge tracking performs well, but they mainly model the knowledge (...) components while ignoring the personalized information of questions and learners, and provide limited interpretability in the interaction between learners’ knowledge status and questions. A context-aware attentive knowledge query network model is proposed in this paper, which combines flexible neural network models with interpretable model components inspired by psychometric theory. We use the Rasch model to regularize the embedding of questions and learners’ interaction tuples, and obtain personalized representations from them. In addition, the long-term short-term memory network and monotonic attention mechanism are used to mine the contextual information of learner interaction sequences and question sequences. It can not only retain the ability to model sequences, but also use the monotonic attention mechanism with exponential decay term to extract the hidden forgetting behavior and other characteristics of learners in the learning process. Finally, the vector dot product is used to simulate the interaction between the learners’ knowledge state and questions to improve the interpretability. A series of experimental results on 4 real-world online learning datasets show that CAKQN has the best performance, and its AUC value is improved by an average of 2.945% compared with the existing optimal model. Furthermore, the CAKQN proposed in this paper can not only track learners’ knowledge status like other models but also model learners’ forgetting behavior. In the future, our research will have high application value in the realization of personalized learning strategies, teaching interventions, and resource recommendations for intelligent online education platforms. (shrink)

A mathematician and scientist in residence at the School of the Art Institute of Chicago helps readers explore the concept of infinity through unique concepts including chessboards, a chicken-sandwich sandwich and the creation of infinite cookies from an infinite dough ball.

The feedback concealed information test (fCIT) is a new variant of the CIT that added feedback about participants’ concealing performances in the classical CIT. The advantage of the fCIT is that the resulting feedback related event-related potentials (ERPs) can be used to detect concealed information. However, the detection efficiency of feedback-based ERPs varies across studies. The present experiment examined whether the extent participants believed the feedback influenced their detection efficiency. Specifically, participants did a mock crime and were then tested in (...) a fCIT. Following the fCIT, participants were asked to report how much they believed the feedback was accurate. Results showed that there were no significant correlations between the amplitude of the feedback related negativity (FRN), feedback P300, and participants’ self-report at the group level. However, individual analyses showed that the detection efficiency of both the FRN and feedback P300 were influenced by participants’ belief about the presented feedback. The detection efficiency of the FRN and the feedback P300 was higher among participants who believed the feedback. These findings suggest that the fCIT is dependent to some extent on the participants’ level of belief in the feedback. (shrink)

《从孔子到谢灵运：唐前士人精神史探索/陕西师范大学中国语言文学“世界一流学科建设”成果》为作者关于唐前士人精神史探索的文章的合集，共分三部分：一、论先秦圣贤、诗哲的理思与痛苦；二、论汉兴百年儒士、赋家 的经国品质；三、论晋宋名士的飘逸与痛苦。作者深入开掘孔子、屈原、贾谊、陶渊明、谢灵运等人的精神历程，探讨中国人世代相续的民族精神。.