该书收入其论著6种, 主要包括《仪礼奭固》, 《礼器图》, 《周政三图》, 《天文图考》, 《经脉分图》等.

In today’s era of rapid development in science and technology, the development of digital technology has increasingly higher requirements for data processing functions. The matrix signal commonly used in engineering applications also puts forward higher requirements for processing speed. The eigenvalues of the matrix represent many characteristics of the matrix. Its mathematical meaning represents the expansion of the inherent vector, and its physical meaning represents the spectrum of vibration. The eigenvalue of a matrix is the focus of matrix theory. The (...) problem of matrix eigenvalues is widely used in many research fields such as physics, chemistry, and biology. A neural network is a neuron model constructed by imitating biological neural networks. Since it was proposed, the application research of its typical models, such as recurrent neural networks and cellular neural networks, has become a new hot spot. With the emergence of deep neural network theory, scholars continue to combine deep neural networks to calculate matrix eigenvalues. This article aims to study the estimation and application of matrix eigenvalues based on deep neural networks. This article introduces the related methods of matrix eigenvalue estimation based on deep neural networks, and also designs experiments to compare the time of matrix eigenvalue estimation methods based on deep neural networks and traditional algorithms. It was found that under the serial algorithm, the algorithm based on the deep neural network reduced the calculation time by about 7% compared with the traditional algorithm, and under the parallel algorithm, the calculation time was reduced by about 17%. Experiments are also designed to calculate matrix eigenvalues with Obj and recurrent neural networks (RNNS) models, which proves that the Oja algorithm is only suitable for calculating the maximum eigenvalues of non-negative matrices, while RNNS is commonly used in general models. (shrink)

With the development of computer hardware and software, digital art is a new discipline. It uses computers and digital technology as tools to perform artistic expression. It can be expanded to various binary numerical codes with computers as the center and can also be refined to various categories of creation with computers. The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined (...) and analyzed for feature correlation. Based on the hidden association relationship of massive data, the study focuses on the implicit association mining of digital art features of data for the recommendation algorithm. The classification and continuous data feature attributes are introduced and discretized, and the binary representation of data features is extended to ensure the diversity of data feature attributes. In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. The validity of the proposed algorithm is verified by using the experimental data of health and medical situations in the machine learning library. (shrink)

External regulatory and normative pressures from both the Chinese central environmental protection inspection (CEPI) program and public participation can act together to influence corporate environmental governance behavior. This research uses the multiperiod Difference-In-Differences method to test the compound impact of CEPI and public participation on corporate environmental governance strategies and investigate the underlying influence mechanisms. The results show that CEPI and public participation have a positive compound effect on the corporate “source-control” strategy. A reasonable reduction in pollution charges and increased (...) environmental subsidies are essential to stimulate the green innovation potential of heavily polluting firms. Our research helps clarify the game relationship between the central and the local governments and analyzes how the relationship between the government, the public, and corporates affects environmental governance, thereby advancing principal-agent theory and expanding the current research on institutional pressures and corporate environmental governance. (shrink)

Background: Ethical challenges are common in clinical nursing practice, and an infectious environment could put nurses under ethical challenges more easily, which may cause nurses to submit to negative emotions and psychological pressure, damaging their mental health. Purpose: To examine the ethical challenges encountered by nurses caring for patients with the novel coronavirus pneumonia (COVID-19) and to provide nurses with suggestions and support regarding promotion of their mental health. Research design and method: A qualitative study was carried out using a (...) qualitative content analysis. The participants were 18 nurses who agreed to attend an interview and describe their own experiences of providing care to COVID-19 patients in China. They were purposively sampled, and structured, in-depth interviews were performed. Data were iteratively collected and analyzed from February to March 2020. Ethical considerations: The proposal was approved by the Research Ethics Committee of the Second Hospital of Shandong University, China. Findings: The findings revealed three main themes and 10 categories. The themes were the following: (1) ethical challenges (people with COVID-19, inequality, professional ethics, and job competency); (2) coping styles (active control and planning, seeking support as well as catharsis, and staying focused); and (3) impacts on career (specialized nursing skills, scientific research ability, and management skills). Conclusion: Nurses faced ethical challenges on multiple fronts in caring for COVID-19 patients. The results may help nurses with more safety, ethics, and humanistic care in nursing practice. (shrink)

Prosocial behaviors are susceptible to individuals’ preferences regarding payoffs and social context. In the present study, we combined individual differences with social influence and attempted to discover the effect of social value orientation (SVO) and social influence on prosocial behavior in a trust game and a dictator game. Prosocial behavior in the trust game could be motivated by strategic considerations whereas individuals’ decisions in the dictator game could be associated with their social preference. In the trust game, prosocials were less (...) likely than proselfs to conform to the behavior of other group members when the majority of group members distrusted the trustee. In the dictator game, the results of the three-way ANOVA indicated that, irrespective of the type of offer, in contrast to proselfs, prosocials were influenced more by others’ generous choices than their selfish choices, even if the selfish choices were beneficial to themselves. The overall results demonstrated that the effect of social influence appears to depend on individuals’ SVO: that is, prosocials tend to conform to prosocial rather than proself behaviors. (shrink)

The youngest generation of students prefers a more active learning style. Sandwich teaching may suit their learning style by alternating between active individual learning and passive collective learning. Sandwich teaching has been rarely applied to the Community Nursing Course for nursing students, and its teaching effects on this course remain unclear. This study applied Sandwich teaching to the Community Nursing Course for Chinese nursing undergraduates and investigated its effects on students' critical thinking, self-learning ability, course experience, and academic performance. This (...) is a quasi-experimental study with 72 Chinese nursing undergraduates. Students receiving traditional teaching were enrolled in the control group, and those who received Sandwich teaching were recruited into the experimental group. Both groups received the 12-week, 90-min Community Nursing Course. Our main outcome variable, including students' critical thinking, self-learning ability, and course experience, was assessed by specific questionnaire. The paired t-tests were applied to compare the differences of the same group in the pre-test and the post-test, and the independent-sample t-tests were used to compare the differences between the two groups. We observed that nursing students' critical thinking ability and self-learning ability were significantly improved after receiving Sandwich teaching. Students' course experience of Sandwich teaching was significantly better than that of traditional teaching. The final exam score in the experimental group was not significantly higher than that in the control group. These results suggest that Sandwich teaching in Community Nursing Course improved Chinese nursing undergraduates' critical thinking, self-learning ability, and course experience, but failed in improving academic performance. (shrink)

In real life, multiple network public opinion emergencies may break out in a certain place at the same time. So, it is necessary to invite emergency decision experts in multiple fields for timely evaluating the comprehensive crisis of the online public opinion, and then limited emergency resources can be utilized to give priority to respond to the one with the highest crisis. Due to the complexity of network public opinion emergencies and the limited cognition of experts, most of the decision (...) problems for evaluating the network public opinion emergencies are highly uncertain. Also, prior to the selection of the highest crisis, it is preferable that experts reach a high degree of consensus among their assessments or opinions. To address such problems, this paper presents a novel adaptive consensus reaching model for multiattribute group decision making with probabilistic linguistic decision matrices. First, to quantify the difference between any two probabilistic linguistic term sets accurately and efficiently, we define a novel distance measure between PLTSs based on the Wasserstein metric. Then, by integrating the defined PLTSs-based Wasserstein distance measure into the classical CCSD method, we construct an optimization model for objectively determining attribute weights. Subsequently, we develop the individual cumulative consensus contribution measure and the group consensus measure, respectively, following which is to present an integrated consensus improving strategy that considers both weight-updating and assessment-adjusting. Finally, the feasibility and the applicability of the proposed approach are illustrated via a real evaluation of network public opinion emergencies. Through comparing with existing probabilistic linguistic MAGDM approaches, the proposed approach offers the advantages in terms of the accurate measurement of information difference and the integrated improvement of consensus efficiency. (shrink)

以严复的中西文化观为核心,将中国与西欧这两大思想文化体系,在历史的纵向发展与时代的横向座标这一大背景下,作宏观与微观的对比分析。.

A growing number of philosophers are bringing interventionism into the field of supervenient causation. Many argue that interventionist supervenient causation is exempted from the fixability condition. However, this approach looks ad hoc, inconsistent with the general interventionist requirement on fixation. Moreover, it leads to false judgments about the causal efficacy of supervenient/subvenient properties. This article aims to develop a novel interventionist account of supervenient causation that respects the fixability requirement. The treatment of intervention and fixation that I propose can accommodate (...) some theoretical constraints on causation and deliver correct causal verdicts in classic examples. It is also worth noting that this interventionist account offers a promising defense of mental causation without postulating mental-physical overdetermination. (shrink)

The Exclusion Argument has afflicted non-reductionists for decades. In this article, I attempt to show that emergentism—the view that mental entities can downwardly cause physical entities in a non-overdetermining way—is the most plausible approach to solving the exclusion problem. The emergentist approach is largely absent in contemporary philosophy of mind, because emergentism rejects the Causal Closure of Physics, a doctrine embraced by almost all physicalists. This article, however, challenges the consensus on causal closure and defends a physicalist version of emergentism. (...) On closer examination, I find that neither physical evidence nor physicalist considerations can satisfactorily support causal closure. Moreover, I argue that two competing approaches that accept causal closure, compatibilism and autonomism, involve ad hoc postulations of mental causation. Therefore, all things considered, emergentism is the best option available to non-reductive physicalists. (shrink)

The Exclusion Argument, which aims to deny the causal efficacy of irreducible mental properties, is probably the most serious challenge to non-reductive physicalism. Many proposed solutions to the exclusion problem can only reject simplified exclusion arguments, but fail to block a sophisticated version I introduce. In this paper, I attempt to show that we can refute the sophisticated exclusion argument by appeal to a sophisticated understanding of causation, what I call the 'Dual-condition Conception of Causation'. Specifically, I argue that the (...) dual-condition account of causation gives strong support to the so-called 'Autonomy Solution', which contends that even if mental properties are unable to cause (fundamental) physical properties, they can still cause higher-level properties (such as mental, behavioral, and social properties)—if so, human agency would be preserved in the physical world. (shrink)

In Zhong (Philos Phenomenol Res 83:129–147, 2011; Analysis 72:75–85, 2012), I argued that, contrary to what many people might expect, the counterfactual theory of causation will generate (rather than solve) the exclusion problem. Recently some philosophers raise an incisive objection to this argument. They contend that my argument fails as it equivocates between different notions of a physical realizer (see Christensen and Kallestrup in Analysis 72:513–517, 2012). However, I find that their criticism doesn’t threaten the central idea of my (...) view. In this paper, I make two separate responses that appeal to two unequivocal notions of physical realizers, respectively. I aim to show that a modified argument that uses either notion would work. (shrink)

Although physicalism is a dominant position in contemporary philosophy of mind and metaphysics, there are surprisingly very few serious arguments for physicalism, which may contribute to the revival of anti-physicalism in recent decades. In this article, I develop a causal argument for physicalism in general, inspired by the causal argument for reductive physicalism. By comparing each pair of premises, I argue that, while the causal argument for reductive physicalism is controversial, the causal argument for physicalism simpliciter is promising.

Research based on the behavioral theory of the firm (BTOF) argues that firms will actively adopt strategic actions to respond to performance that falls below aspirations, that is performance shortfalls. However, most previous studies have focused on market-related strategic actions, paying less attention to the impact of performance shortfalls on non-market-related strategic actions, especially corporate social responsibility (CSR) and corporate social irresponsibility (CSI). In this study, we propose that firms facing performance shortfalls are likely to reduce CSR levels and increase (...) CSI levels. In addition, we also propose that board characteristics (board size, board age and board tenure) have a significant moderating effect on the above relationship. Empirical analyses based on an unbalanced panel data of China's listed firms from 2010 to 2018 show that our arguments are largely supported. (shrink)

A quite popular approach to solving the Causal Exclusion Problem is to adopt a counterfactual theory of causation. In this paper, I distinguish three versions of the Causal Exclusion Argument. I argue that the counterfactualist approach can block the first two exclusion arguments, because the Causal Inheritance Principle and the Upward Causation Principle upon which the two arguments are based respectively are problematic from the perspective of the counterfactual account of causation. However, I attempt to show that the counterfactualist approach (...) is unable to refute a sophisticated version (i.e. the third version) of the exclusion argument in that the Downward Causation Principle, a premise of the third exclusion argument, is actually implied by the counterfactual theory of causation. Therefore, even if other theories of causation might help the non-reductive physicalist to solve the exclusion problem, the counterfactual theory of causation cannot. (shrink)

It is widely accepted that supervenience is a minimal commitment of physicalism. In this article, however, I aim to argue that physicalism should be exempted from the supervenience requirement. My arguments rely on a parallel between ontological dependence and causal dependence. Since causal dependence does not require causal determination, ontological dependence should not require ontological determination either. Moreover, my approach has a significant theoretical advantage: if physicalism is not committed to supervenience, then the metaphysical possibility of zombies—which is still wide (...) open after all these years—would pose no challenge to physicalism. (shrink)

In this article, I defend a biconditional counterfactual account of causation, which places equal emphasis on what I call “the presence condition” and “the absence condition,” whereas Lewis's classical counterfactual theory focuses only on the absence condition. I attempt to show that biconditionalism provides a promising treatment of supervenient causation, namely, causal cases involving the supervenience relationship. Although some philosophers confuse this account with the proportionality constraint on causation, I argue that biconditionalism is distinct from and superior to proportionalism in (...) accommodating our reliable causal intuitions. (shrink)

The dominant way to define physical entities is by appeal to ideal physics (as opposed to current physics). However, it has been worried that physicalism understood in terms of ideal physics would be too liberal to rule out “psychism”, the view that mentality exists at the fundamental metaphysical level. In this article, I argue that whereas physicalism is incompatible with some psychist cases, such as the case of “phenomenalism” in which ideal physics adopts mental concepts to denote fundamental entities, physicalism (...) should accommodate a certain type of psychist case in which fundamental mental entities are denoted by non-mental concepts in ideal physics. In so doing, I propose a distinctive account of physical entities, which asserts that physical entities are entities denoted by non-mental natural concepts in ideal physics. Physicalism thus understood is expected to be neither too liberal nor too demanding. (shrink)

Several theories, both ancient and recent, suggest that having the time to contemplate a decision should increase moral awareness and the likelihood of ethical choices. Our findings indicated just the opposite: greater time for deliberation led to less ethical decisions. Post-hoc analyses and a followup experiment suggested that decision makers act as if their previous choices have created or lost moral credentials: after an ethical first choice, people acted significantly less ethically in their subsequent choice but after an unethical first (...) choice, people acted significantly more ethically in their subsequent choice. These findings provide the basis for a model of compensatory ethics. (shrink)

From the Hilbert space formalism we note that five simple conditions are satisfied by the orthogonality relation between the (pure) states of a quantum system. We argue, by proving a mathematical theorem, that they capture the essentials of this relation. Based on this, we investigate the rationale behind these conditions in the form of six physical hypotheses. Along the way, we reveal an implicit theoretical assumption in theories of physics and prove a theorem which formalizes the idea that the Superposition (...) Principle makes quantum physics different from classical physics. The work follows the paradigm of mathematical foundations of quantum theory, which I will argue by methodological reflection that it exemplifies a formal approach to analysing concepts in theories. (shrink)

Semantic normativism, which is the view that semantic properties/concepts are some kind of normative properties/concepts, has become increasingly influential in contemporary meta-semantics. In this paper, I aim to argue that semantic normativism has difficulty accommodating the causal efficacy of semantic properties. In specific, I raise an exclusion problem for semantic normativism, inspired by the exclusion problem in the philosophy of mind. Moreover, I attempt to show that the exclusion problem for semantic normativism is peculiarly troublesome: while we can solve mental-physical (...) exclusion by adopting the so-called ‘autonomy approach’, a similar autonomy solution to semantic exclusion is implausible if semantic properties are understood as normative properties. (shrink)

Many philosophers insist that the most plausible solution to the exclusion problem is to adopt the so-called ‘autonomy approach’, which denies either upward or downward causation between mental and physical properties. But the question of whether the autonomy approach is compatible with respectable theories of causation has seldom been discussed in the literature. This paper considers two influential theories of causation, the counterfactual account and the regularity account. I argue that neither the counterfactual theory nor the regularity theory can support (...) the autonomy approach – while the counterfactual approach fails to block downward causation, the regularity approach is unable to refute upward causation. (shrink)

In this paper we show that some orthogeometries, i.e. projective geometries each defined using a ternary collinearity relation and equipped with a binary orthogonality relation, which are extensively studied in mathematics and quantum theory, correspond to Kripke frames, each defined using a binary relation, satisfying a few conditions. To be precise, we will define four special kinds of Kripke frames, namely, geometric frames, irreducible geometric frames, complete geometric frames and quantum Kripke frames; and we will show that they correspond to (...) pure orthogeometries, irreducible pure orthogeometries, Hilbertian geometries and irreducible Hilbertian geometries, respectively. The discovery of these correspondences raises interesting research topics and will enrich the study of logic. (shrink)

In the literature there has been evidence that a kind of relational structure called a quantum Kripke frame captures the essential characteristics of the orthogonality relation between pure states of quantum systems, and thus is a good qualitative mathematical model of quantum systems. This paper adds another piece of evidence by providing a tensor-product construction of two finite-dimensional quantum Kripke frames. We prove that this construction is exactly the qualitative counterpart of the tensor-product construction of two finite-dimensional Hilbert spaces over (...) the complex numbers, and thus show that composition of quantum systems, especially the phenomenon of quantum entanglement, can be modelled in the framework of quantum Kripke frames. The assumptions used in our construction hint that we need complex numbers in quantum theory. Moreover, for this construction, we give a new and interesting characterization of linear maps of trace 0 in terms of the orthogonality relation. (shrink)

Wet markets, a ‘traditional’ form of food retail, have maintained their popularity in urban China despite the rapid expansion of ‘modern’ supermarket chains. Their continued popularity rests in the freshness of their food. Chinese consumers regard freshness as the most important aspect of food they buy, but what constitutes ‘freshness’ in produce is not simply a given. Freshness is actively produced by a range of actors including wholesalers, vendors as well as consumers. The paper examines what fresh food means to (...) consumers in the Chinese market. It argues that wet markets create a sense of freshness that resonates with this culinary culture through their sensoria, atmosphere, and trust between food vendors and consumers. Together these respond to desires for and reproduce criteria used to evaluate freshness. Within a fragmented food trade system, wet market vendors have an advantage in offering ‘freshness’ through their ability to connect various wholesalers, agencies, and middlemen, and shorten supply chains. The paper is based on participatory observation, a consumer survey and in-depth interviews of various stakeholders in southern China, especially Sanya in Hainan and Guangzhou in Guangdong. This study suggests that this cultural construction of freshness creates a niche for small-scale players and ‘traditional’ markets in an increasingly concentrated global food system. (shrink)

Information‐theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this expectation‐based view is not limited to syntactic information alone. The present study combines structural and non‐structural information in unified models of word‐by‐word sentence processing difficulty. Using probabilistic minimalist grammars (Stabler, 1997), we extend expectation‐based models to include (...) frequency information about noun phrase animacy. Entropy reductions derived from these grammars faithfully reflect the asymmetry between subject and object relatives (Staub, 2010; Staub, Dillon, & Clifton, 2017), as well as the effect of animacy on the measured difficulty profile (Lowder & Gordon, 2012; Traxler, Morris, & Seely, 2002). Visualizing probability distributions on the remaining alternatives at particular parser states allows us to explore new, linguistically plausible interpretations for the observed processing asymmetries, including the way that expectations about the relativized argument influence the processing of particular types of relative clauses (Wagers & Pendleton, 2016). (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

This study investigated whether and how a person's varied series of lexical categories corresponding to different discriminatory characteristics of the same colors affect his or her perception of colors. In three experiments, Chinese participants were primed to categorize four graduated colors—specifically dark green, light green, light blue, and dark blue—into green and blue; light color and dark color; and dark green, light green, light blue, and dark blue. The participants were then required to complete a visual search task. Reaction times (...) in the visual search task indicated that different lateralized categorical perceptions of color corresponded to the various priming situations. These results suggest that all of the lexical categories corresponding to different discriminatory characteristics of the same colors can influence people's perceptions of colors and that color perceptions can be influenced differently by distinct types of lexical categories depending on the context. (shrink)