According to the received account of guilt in the philosophical literature, one cannot feel guilt unless one takes oneself to have done something morally wrong. But ordinary people feel guilt in many cases in which they do not take themselves to have done anything morally wrong. In this paper, I focus on one kind of guilt without perceived wrongdoing, guilt about being merely causally responsible for a bad state-of-affairs. I go on to present a novel account of guilt that explains (...) guilt about mere causal responsibility, according to which guilt represents part of the self as bound up with what is bad. (shrink)

According to the safety account of knowledge, one knows that p only if one's belief could not easily have been false. An important issue for the account is whether we should only examine the belief in the target proposition when evaluating whether a belief is safe or not. In this paper, it is argued that if we only examine the belief in the target proposition, then the account fails to account for why beliefs in necessary truths could fall short of (...) knowledge. But, if we also examine beliefs in other relevant propositions, then the account fails to preserve epistemic closure. Therefore, the safety account cannot find a safe path between epistemic closure and necessary truths. (shrink)

Employees perceive illegitimate tasks as inappropriate assignments because such tasks are beyond what they expect to do in any given job position. Extant literature indicates that, in addition to creating psychological strain and reducing well-being, illegitimate task assignments can result in counterproductive work behavior. This study extends the literature by examining whether illegitimate tasks may lead to two specific forms of CWB targeting organizations: destructive voice and time theft. To understand how and when this happens, we investigate the mediating role (...) of moral disengagement and the moderating role of psychological entitlement. Survey results based on 258 supervisor–subordinate dyads in China reveal that illegitimate tasks are positively related to destructive voice and time theft through moral disengagement. Furthermore, psychological entitlement strengthens the positive relationship between illegitimate tasks and moral disengagement and the indirect effect of illegitimate tasks on destructive voice and time theft. Overall, the findings provide insightful theoretical and managerial implications for research related to illegitimate tasks and CWB. (shrink)

Call ‘radical moral theorizing’ the project of developing a moral theory that not only tries to conform to our existing moral judgments, but also manifests various theoretical virtues: consistency, simplicity, explanatory depth, and so on. Many moral philosophers assume that radical moral theorizing does not require any particular metaethical commitments. In this paper, I argue against this assumption. The most natural justification for radical moral theorizing presupposes moral realism, broadly construed; in contrast, there may be no justification for radical moral (...) theorizing if moral anti-realism is true. (shrink)

Philosophers have in recent years displayed an increasing interest in investigating folk metaethical beliefs using rigorous empirical methods. Taken together, these studies put significant pressure on many philosophical theories that depend on the truth of folk moral objectivism, the view that the folk see morality as objectively grounded. Frequently included among the target of criticism is Mackie’s error theory, or more specifically the conceptual claim thereof. Finding this criticism misplaced, Benjamin Fraser tries to exonerate error theory from such accusation by (...) distinguishing different senses of objectivity. In this paper, I show why Fraser’s strategy is not successful so that the pressure empirically brought upon classical error theory is genuine. However, I also argue that even on the new picture suggested by experimental studies, the folk still entertain erroneous beliefs, which, when coupled with plausible metasemantic assumptions and further empirical support, should warrant an error theory after all, though not in its classical form. (shrink)

Taking the semiotic landscaping of the Occupy Movement in Hong Kong in 2014 as an example, the article explores the semiotic relation between the materialization of signs and the constitution of a collectivity. Juxtaposing the concepts of ‘collective assemblage of enunciation’, ‘landscaping’ and ‘autoglottic space’, the article argues that collective enunciations are not autonomous from human agency. Instead, collective enunciations can be created by deliberate de-subjectification and de-personification in the materialization of signs.

The business environment is increasingly uncertain due to the rapid development of disruptive information technologies, the changing global economy, and the COVID-19 pandemic. This brings great uncertainties to investors to predict the performance changes and risks of companies. This research proposes a sequential data-based framework that aggregates data from multiple sources including both structured and unstructured data to predict the performance changes. It leverages data generated from the early risk warning system in China stock market to measure and predict organization (...) performance changes based on the risk warning status changes of public companies. Different from the models in existing literature that focus on the prediction of risk warning of companies, our framework predicts a portfolio of organization performance changes, including business decline and recovery, thus helping investors to not only predict public company risks, but also discover investment opportunities. By incorporating sequential data, our framework achieves 92.3% macro-F1 value on real-world data from listed companies in China, outperforming other static models. (shrink)

Empathy is sharing and understanding others’ emotions. Recently, researchers identified a culture–sex interaction effect in empathy. This phenomenon has been largely ignored by previous researchers. In this study, the culture–sex interaction effect was explored with a cohort of 129 participants (61 Australian Caucasians and 68 Chinese Hans) using both self-report questionnaires (i.e., Empathy Quotient and Interpersonal Reactivity Index) and computer-based empathy tasks. In line with the previous findings, the culture–sex interaction effect was observed for both trait empathy (i.e., the generalized (...) characteristics of empathy, as examined by the self-report questionnaires) and state empathy (i.e., the on-spot reaction of empathy for a specific stimulus, as evaluated by the computer-based tasks). Moreover, in terms of state empathy, the culture–sex interaction effect further interacted with stimulus traits (i.e., stimulus ethnicity, stimulus sex, or stimulus emotion) and resulted in three- and four-way interactions. Follow-up analyses of these higher-order interactions suggested that the phenomena of ethnic group bias and sex group favor in empathy varied among the four culture–sex participant groups (i.e., Australian female, Australian male, Chinese female, and Chinese male). The current findings highlighted the dynamic nature of empathy (i.e., its sensitivity toward both participant traits and stimulus features). Furthermore, the newly identified interaction effects in empathy deserve more investigation and need to be verified with other Western and Asian populations. (shrink)

Ravasio (2023) recently presents an interesting discussion of strategies to deal with lookism. He categorizes strategies into revisionary and redistributive ones and argues for a case against the former. This note is a critical response to both the taxonomy and the evaluation. I argue that the taxonomy needs to be improved and that the case against revisionary strategies cannot be maintained.

The capacitive voltage transformer is a special measuring and protecting device, which is commonly applied in high-voltage power systems. Its measurement accuracy is affected seriously by the stray capacitances of the capacitance voltage divider to ground and other charged parts. In this study, based on the boundary element method, a mathematical model was established firstly to calculate the stray capacitance. Then, the voltage distribution of the CVD was obtained by the CVD’s equivalent circuit model. Next, the effect of stray capacitance (...) on the voltage distribution and the voltage difference ratio of CVD was analysed in detail. We finally designed three types of shield and optimized their structure parameters to reduce VDR. The results indicated that the average deviation rate between calculated and experimental measured voltages is only 0.015%; that is to say, the method has high calculation precision. The stray capacitance of the CVD to ground is far larger than that of the CVD to the high-voltage terminal. It results in the inhomogeneous distribution of voltage and the increase of VDR. For the test CVT, its VDR exceeds the requirement of class 0.2. Among all of the three types of shield, the C type reduced the VDR of the test CVT the most. After optimizing the structure parameters of C-type shield, the VDR is further reduced to 0.08%. It is not only in accord with the requirement of class 0.2 but also has an adequate margin. (shrink)

We propose a fast and reliable corner detector that can detect corners under non-uniform illumination and fuzzy mineshaft images effectively. First, we presented an inner mask that used only four pixels to determine the flat and corner regions of an image, which could eliminate unnecessary computation of flat regions, thus reducing computing cost. Second, we separated the corner regions into background and foreground and computed the separate corner threshold to settle non-uniform illumination. Third, we proposed a fast corner-detection algorithm to (...) compute the nucleus continuous contributive segment based on the corner state. Finally, we proposed two effective methods to remove the false corners. Experimental results showed that our approach has a better detection quality and is less time consuming than three other algorithms on an artificial image, a noisy image, and non-uniform images and could meet the real-time requirement of mineshaft applications. (shrink)

In face recognition systems, highly robust facial feature representation and good classification algorithm performance can affect the effect of face recognition under unrestricted conditions. To explore the anti-interference performance of convolutional neural network reconstructed by deep learning framework in face image feature extraction and recognition, in the paper, first, the inception structure in the GoogleNet network and the residual error in the ResNet network structure are combined to construct a new deep reconstruction network algorithm, with the random gradient descent and (...) triplet loss functions as the model optimizer and classifier, respectively, and it is applied to the face recognition in Labeled Faces in the Wild face database. Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. Finally, Matlab software is used to simulate the algorithm proposed in this paper and compare it with other algorithms. The results show that the proposed algorithm has the best face recognition effect when the learning rate is 0.0004, the attenuation coefficient is 0.0001, the training method is SGD, and dropout is 0.1, and the algorithm proposed in this paper has the largest mean average precision compared to other CNN algorithms. The correct rate of face feature matching of the algorithm proposed in this paper is 84.72%, which is higher than LetNet-5, VGG-16, and VGG-19 algorithms, the correct rates of which are 6.94%, 2.5%, and 1.11%, respectively, but lower than GoogleNet, AlexNet, and ResNet algorithms. At the same time, the algorithm proposed in this paper has a faster matching time and a higher correct matching rate than the joint Bayesian method, indicating that the deep reconstruction network algorithm proposed in this paper can be used in face image recognition, FE, and matching, and it has strong anti-interference. (shrink)

Objective Diabetes is a global public health concern. Management of diabetes depends on successful implementation of strategies to alleviate decline in executive functions (EFs), a characteristic of diabetes progression. In this review, we describe recent research on the relationship between diabetes and EF, summarize the existing evidence, and put forward future research directions and applications. Methods Herein, we provide an overview of recent studies, to elucidate the relationship between DM and EF. We identified new screening objectives, management tools, and intervention (...) targets for diabetes management. We also discuss the implications for clinical practice. Results In both types 1 and 2 diabetes mellitus (DM), hyperglycemia substantially impairs EF in people of all age groups and ethnicities. Hypoglycemia can similarly impair EF. Interestingly, a decline in EF contributes to DM progression. Glucose dysregulation and EF decline exacerbate each other in a vicious cycle: poor blood glucose control, impaired EF, diabetes management task failure, then back to poor blood glucose control. Many pathophysiological indexes (e.g., obesity, metabolic index, inflammatory and immune factors), neuropsychological indexes (e.g., compliance, eating habits, physical exercise, sleep, and depression), and genetic factors are changed by this pathological interaction between DM and EF. These changes can provide insight into the pathophysiological mechanisms of diabetes-related EF decline. Conclusion Further studies, including large-scale prospective and randomized controlled trials, are needed to elucidate the mechanism of the interaction between diabetes and EF and to develop novel strategies for breaking this cycle. (shrink)

This paper examines two objections to the infinitist theory of epistemic justification, namely “the finite mind objection” and “the distinction objection.” It criticizes Peter Klein’s response to the distinction objection and offers a more plausible response. It is then argued that this response is incompatible with Klein’s response to the finite mind objection. Infinitists, it would seem, cannot handle both objections when taken together.

Subgraph matching on a large graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including question answering and community detection. However, traditional edge-cutting strategy destroys the structure of indivisible knowledge in a large RDF graph. On the premise of load-balancing on subgraph division, a dominance-partitioned strategy is proposed to divide a large RDF graph without compromising the knowledge structure. Firstly, a dominance-connected pattern graph is extracted from a pattern graph (...) to construct a dominance-partitioned pattern hypergraph, which divides a pattern graph as multiple fish-shaped pattern subgraphs. Secondly, a dominance-driven spectrum clustering strategy is used to gather the pattern subgraphs into multiple clusters. Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. Finally, experimental evaluation verifies that our strategy has higher time-efficiency of complex queries, and it has a better scalability on multiple machines and different data scales. (shrink)

As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. In order to solve the problem of rough feature engineering processing and low prediction accuracy, a short-term load forecasting model of LSTM neural network considering demand response is proposed. First of all, in view of the strong randomness and (...) complexity of input features, the weighted method is used to process multiple input features to strengthen the contribution of effective features and tap the potential value of features. Secondly, an improved genetic algorithm is used to obtain the best LSTM parameters; finally, the special gate structure of the LSTM model is used to selectively control the influence of input variables on the model parameters and perform load forecasting. The experimental results show that the research has high prediction accuracy and application value and provides a new way for the development of power load forecasting. (shrink)

The extraction process of palm seed oil was optimized. Using palm seed as raw material, oil extraction rate was used as an index. The effects of flash extraction, ultrasonic-assisted extraction, supercritical extraction, and aqueous enzymatic extraction on the yield of palm seed oil were investigated. The extraction methods and technological conditions of palm seed oil were optimized by the orthogonal method on the basis of single factor. The seed oil was analyzed and detected. The results showed that the water enzymatic (...) extraction method was the best, and the optimal extraction conditions were as follows: enzymatic hydrolysis time 16 h, enzymatic hydrolysis temperature 50°C, and enzymatic content 2.0%. The oil yield of palm seed was 16.48%. Conclusion. Water enzymatic extraction process of palm seed oil is reasonable, the active ingredients are rich, and the quality of seed oil is better, providing reference for the development and research of palm seed oil. (shrink)

In a complex network, each edge has different functions on controllability of the whole network. A network may be out of control due to failure or attack of some specific edges. Bridges are a kind of key edges whose removal will disconnect a network and increase connected components. Here, we investigate the effects of removing bridges on controllability of network. Various strategies, including random deletion of edges, deletion based on betweenness centrality, and deletion based on degree of source or target (...) nodes, are used to compare with the effect of removing bridges. It is found that the removing bridges strategy is more efficient on reducing controllability than the other strategies of removing edges for ER networks and scale-free networks. In addition, we also found the controllability robustness under edge attack is related to the average degree of complex networks. Therefore, we propose two optimization strategies based on bridges to improve the controllability robustness of complex networks against attacks. The effectiveness of the proposed strategies is demonstrated by simulation results of some model networks. These results are helpful for people to understand and control spreading processes of epidemic across different paths. (shrink)

Zero-shot learning is dedicated to solving the classification problem of unseen categories, while generalized zero-shot learning aims to classify the samples selected from both seen classes and unseen classes, in which “seen” and “unseen” classes indicate whether they can be used in the training process, and if so, they indicate seen classes, and vice versa. Nowadays, with the promotion of deep learning technology, the performance of zero-shot learning has been greatly improved. Generalized zero-shot learning is a challenging topic that has (...) promising prospects in many realistic scenarios. Although the zero-shot learning task has made gratifying progress, there is still a strong deviation between seen classes and unseen classes in the existing methods. Recent methods focus on learning a unified semantic-aligned visual representation to transfer knowledge between two domains, while ignoring the intrinsic characteristics of visual features which are discriminative enough to be classified by itself. To solve the above problems, we propose a novel model that uses the discriminative information of visual features to optimize the generative module, in which the generative module is a dual generation network framework composed of conditional VAE and improved WGAN. Specifically, the model uses the discrimination information of visual features, according to the relevant semantic embedding, synthesizes the visual features of unseen categories by using the learned generator, and then trains the final softmax classifier by using the generated visual features, thus realizing the recognition of unseen categories. In addition, this paper also analyzes the effect of the additional classifiers with different structures on the transmission of discriminative information. We have conducted a lot of experiments on six commonly used benchmark datasets. The experimental results show that our model outperforms several state-of-the-art methods for both traditional as well as generalized zero-shot learning. (shrink)

This study presents an evolutionary game to model interactions among stakeholders with potential conflicts, including the operational enterprise of incineration plant, the local government, and the residents nearby. System dynamics is used to simulate the change of strategic actions corresponding to the three players, in order to seek for the evolutionary stability strategies. A numerical case is proposed to demonstrate the game theory application, in which the impacts of governmental incentive and punishment on the player’s actions are investigated. The results (...) indicated that administrative penalty is effective not only in motivating the enterprises to upgrade treatment facilities for ensuring environmental quality but also in helping the local government and residents to approach dominant strategies. Policy implications are given based on the results to lay out a foundation for the alleviation of the conflicts. (shrink)

Existing image enhancement methods have problems of a slow data transmission and poor conversion effect, resulting in a low image-recognition rate and recognition efficiency. To solve these problems and improve the recognition accuracy and recognition efficiency of image features, this study proposes an edge detail enhancement algorithm for a high-dynamic range image. The original image is transformed by Fourier transform, and the low-frequency and high-frequency images are obtained by the frequency-domain Gaussian filtering and inverse Fourier transform. The low-frequency image is (...) processed by the contrast limited adaptive histogram equalization, and the high-frequency image is obtained by the nonsharpening masking and gray transformation. The low-frequency enhanced and the high-frequency enhanced images are weighted and fused to enhance the edge details of the image. Finally, the experimental results show that the proposed high-dynamic range image edge detail enhancement algorithm maintains the image recognition rate of more than 80% during the practical application, and the recognition time is within 1,200 min, which enhances the image effect, improves the recognition accuracy and recognition efficiency of image characteristics, and fully meets the research requirements. (shrink)

According to the sensitivity account of knowledge, if one knows that p, then (roughly) were p false, one would not believe that p. One important issue regarding sensitivity is whether or not it preserves inductive knowledge. Critics including Jonathan Vogel, Ernest Sosa, and Duncan Pritchard argue that it does not. Proponents including Kevin Wallbridge insist that it does. In this paper, I first draw attention to an often-neglected distinction between two different versions of sensitivity—a distinction that has important implications for (...) the debate regarding inductive knowledge. In particular, I distinguish between the sensitivity principle originally defended by Robert Nozick and another version that has been the focus of many recent discussions. With the distinction in place, it is shown that a sensitivity theorist cannot preserve inductive knowledge while being unscathed. For neither account can simultaneously preserve inductive knowledge while properly handling the Gettier problem. Overall, sensitivity theorists are in trouble. (shrink)

Humans can understand thousands of abstract words, even when they do not have clearly perceivable referents. Recent views highlight an important role of social experience in grounding of abstract concepts and sub-kinds of abstract concepts, but empirical work in this area is still in its early stages. In the present study, a picture-word semantic priming paradigm was employed to investigate the contribution effect of social experience that is provided by real-life pictures to social abstract concepts and emotional abstract concepts. Using (...) a lexical decision task, we examined responses to picture-SA word pairs and picture-EA word pairs in social/emotional semantically related and unrelated conditions. All pairs shared either positive or negative valence. The results showed quicker responses to positive SA and EA words that were preceded by related vs. unrelated prime pictures. Specifically, positive SA words were facilitated by the corresponding social scene pictures, whereas positive EA words were facilitated by pictures depict the corresponding facial expressions and gestures. However, such facilitatory effect was not observed in negative picture-SA/EA word conditions. This pattern of results suggests that a facilitatory effect of social experience on abstract concepts varies with different sub-kinds of abstract concepts, that seems to be limited to positive SA concepts. Overall, our findings confirm the crucial role of social experience for abstract concepts and further suggest that not all abstract concepts can benefit from social experience, at least in the semantic priming. (shrink)

Exploring the spiritual cognition of human organ donation registration volunteers, aiming to provide new ideas for promoting the development of organ donation through this perspective. This qualitative research was conducted following the conventional content analysis method. 10 registered volunteers for human organ donation were selected from July to December 2023 for face-to-face semi-structured interviews. Snowball sampling was employed to select the participants. In-depth semi-structured interviews were conducted for data gathering. Theoretical saturation was achieved through 10 interviews. Colaizzi phenomenological 7-step analysis (...) method was used to analyze the interview content. The spirituality of registered volunteers for human organ donation can be summarized into three themes and seven sub themes: ① Spiritual Understanding (Love & Life Extension, Dedication to society, Death elevates life); ② The Supporting Role of Spirituality (Become a spiritual motivation for a better life, self-transcendence ); ③ The Spiritual Emotional Value of Organ Donation (Sense of accomplishment and pride, Sense of complexity and ambivalence). The willingness to donate organs is closely related to spirituality. By understanding the spirituality of this group, it is possible to take an important step in promoting the development of organ donation. (shrink)

AimThe article presents the results of a study of psychological factors of consumer loyalty concerning electric vehicles. An electric scooter was used as an example of an electric vehicle. The study involved a total of 165 people in China and 150 people in Russia. The study aimed to compare the psychological characteristics of Russian and Chinese consumers based on their attitudes toward an innovative product such as the electric scooter.Hypotheses The identity of Russian and Chinese consumers and the perceived individuality (...) of the product differ significantly; The proximity of the consumer's identity and the image of the product enhances the positive attitude toward the product; Risk strategies of consumer behavior of Chinese and Russians differ.MethodsThe questionnaire included the scales: “Measuring brand personality” by J. Aaker, “Measuring consumer identity” elaborated by Morozova and Antononva, The risk behavior scale by Vasilenko, Tkachenko.Results The first hypothesis was confirmed: there were revealed differences in the consumer behavior of the respondents of these two groups concerning in their self-perception, as well as in the perception of electric scooters. The Russians perceive an electric scooter as energetic, young, extravagant, modern, and unusual; the Chinese are down-to-earth, family-oriented, real. The hypothesis that the correlation of the consumer's identity and the individuality of the product is one of the psychological factors that determine the consumer's loyalty to a product is also confirmed. The Chinese consumers' identity is more close to the product individuality and their loyalty to the product is higher. Risk strategies of consumer behavior of Chinese and Russians significantly differ in terms of satisfaction with choosing of vehicle, the frequency of its use, and the importance of family approval of the choice of vehicle. The results can be used in the marketing strategy development. From the scientifical perspective, these results contribute to an understanding of the consumer loyalty mechanisms associated with consumer identity. (shrink)

本书主要内容包括:新人本主义的“人一自然”观,关于人与自然关系的哲学伦理学思考,文明生态视角下的“人一自然”观,关于人与自然关系的宗教伦理学思考等.

This article provides a method for estimating the bounds of transaction costs in horizontal mergers. Consider, for example, a completed monopoly merger in linear Cournot oligopolies with 10 symmetric firms. The method shows that its transaction costs are at most 25% (78%) of total premerger profits if there is zero (100%) excess capacity. Such estimations can be extended in a straightforward manner to other mergers and other oligopoly models. The estimation is based both on the profitability precondition, and on the (...) non-empty core precondition, which postulates that the split of a merger’s profits be in its core. The article shows that the core in linear Cournot oligopolies has a non-empty interior, and indicates that the non-empty core precondition also sheds new lights on understanding important issues such as the stylized fact that mergers are likely to occur in markets plagued by excess capacities; why profitable mergers might not be formed; and why completed mergers might break up in the future. (shrink)

It is well documented that self-control has a positive effect on individuals’ subjective well-being. However, little research has focused on the moderators underlying this relationship. The present research used two studies to examine the moderating role of both trait and state motivation on the relationship between self-control and subjective well-being using psychometric and experimental models, respectively. In Study 1, we explored whether trait motivation moderated the relationship between trait self-control and subjective well-being using a psychometric model. In Study 2, we (...) examined the moderating effects of both trait and state motivation on the effect of state self-control on subjective well-being using an experimental model. Our results indicated that self-control had a positive effect on subjective well-being, with this relationship being primarily moderated by prevention motivation. When state and trait prevention motivations were congruent, self-control had the most obvious impact on subjective well-being. This study suggests that current understandings around the association between self-control and happiness is limited, implying that motivation should be the focus of future research. (shrink)

New energy vehicle is an innovative means of transportation, and its development has been widely concerned all over the world. However, few studies investigate the purchase intention of new energy vehicles from the perspective of combining altruism and cultural factors. Based on the extended norm activation model, this study explores the influencing factors of NEVs’ purchasing intention and the moderating effects of “mianzi” and green peer influence. According to 302 valid questionnaires, the results indicated that the extended NAM model is (...) useful in predicting consumer purchasing behavior with an improved explanatory power in purchase intentions of NEVs from 15 to 26%. The awareness of consequences, the ascription of responsibility, and green self-identity have a positive impact on the personal norm. Personal norm and green self-identity are positively associated with purchase intention. “Mianzi” and green peer influence positively moderate the relationship between green self-identity and intention to purchase. The findings give new insights into the impact of cultural factors on purchasing NEVs and profound suggestions for policymakers and enterprises to promote the development of NEVs. (shrink)

Central to scholarly discussions within the field of feminist epistemology is the question of a researcher’s positionality and the subsequent impact on knowledge production. In particular, Donna Haraway’s elaboration of ‘situated knowledge’ has been highly influential. As an epistemological principle, this concept emphasizes the researcher’s embodied location within the research context. Yet the question remains, how does one apply this principle within the concrete practices of knowledge production? In a research project based on Norwegian transnational adoptees’ identity work, the author, (...) being an immigrant, was situated as an ‘outsider within’. How does this positionality influence knowledge production? The concept of ‘outsider within’ comes from standpoint epistemology and has been taken up within black feminist thought to authorize knowledge about dominant society produced from a position of marginality. However as a concrete situatedness, can an ‘outsider within’ position also be used to think about the production of situated knowledge? This article offers an exploration of these questions. The author argues that one way to put feminist situated knowledge to use within an empirical study is through the conceptualization of ‘outsider within’ as a situated interactive space instead of a fixed standpoint. (shrink)

本书内容包括深圳人敬业精神的内涵、深圳人敬业的环境、深圳人的敬业理念、深圳人的敬业激励机制、深圳各行业敬业度分析、深圳人的敬业心理透视、深圳敬业激励机制典型案例等.

本书的重点是谈作者对波普尔的看法,主要包括对波普尔思想的理解和对波普尔思想的评论和批评两部分。.

There are two tendencies in the arguments of the legitimacy of metaphysics in ancient China: the tendency to argue that there was no metaphysics in ancient China and the tendency to argue that ancient Chinese metaphysics is totally different from that of the West. In this article, the author counters these tendencies and argues that Chinese and western metaphysics both originated from a dynamic cosmology and shared objects of investigation and characteristics of thinking in terms of Becoming. However, in their (...) later development, due to the difference in the problems of their focus, traditions of "moral metaphysics" and "(natural) metaphysics of Being" were formed in China and in the West, respectively. The author also explores the reasons for the rise of modern science in the West and its lack of progress in China. (shrink)