Di 1 ce. Cang shan ji, zi cang ji shi, "Xin zi xue" gou xiang -- di 2 ce. Zhi yan lu -- di 3 ce. Shang lin ji -- di 4 ce. Cun ya tang yi gao jiao bu -- di 5 ce. Nan Song yi min shi ren qun ti yan jiu, Zhuangzi shi ri tan -- di 6 ce. Zhuangzi shu mu ti yao -- di 7 ce. Zhuangzi xue shi (yi) -- di 8 ce. Zhuangzi xue (...) shi (er) -- di 9 ce. Zhuangzi xue shi (san) -- di 10 ce. Zhuangzi xue shi (si) -- di 11 ce. Zhuangzi xue shi (wu) -- di 12 ce. Zhuangzi xue shi (lu) -- di 13 ce. Zhuang xue shi lüe -- di 14 ce. Zhuangzi quan ping (shang) -- di 15 ce. Zhuangzi quan ping (xia) -- di 16 ce. Zhuangzi zuan yao (yi) -- di 17 ce. Zhuangzi zuan yao (er) -- di 18 ce. Zhuangzi zuan yao (san) -- di 19 ce. Zhuangzi zuan yao (si) -- di 20 ce. Zhuangzi zuan yao (wu) -- di 21 ce. Zhuangzi zuan yao (lu) -- di 22 ce. Zhuangzi zuan yao (qi) -- di 23 ce. Zhuangzi zuan yao (ba) -- di 24 ce. Zhuangzi zuan yao (jiu) -- di 25 ce. Zhuangzi jin gu (shang) -- di 26 ce. Zhuangzi jin gu (xia) -- di 27 ce. Mengzi jin gu -- di 28 ce. Mozi jin gu -- di 29 ce. -- Xunzi jin gu -- di 30 ce. Zhou Han wen chao -- di 31 ce. Shu jing lüe ying. (shrink)

英文题名:A reconstruction of man as freedom.

Rising negative emotions are like “time bombs” that impede productivity in the workplace. The present investigation provides an insight into the effects of defensive silence and defensive voice on counterproductive work behavior through knowledge hiding in the context of knowledge workers in Chinese academic institutions. Partial least square structural equation modeling was applied to the current samples. The study obtained conjecture the proposed mediating role of knowledge hiding between the negative working attitude and counterproductive work behavior, which is against the (...) organizational norms and performance. The result indicates that the positive relationships exist from defensive silence and defensive voice to counterproductive work behavior, mediated by knowledge hiding. This study links knowledge hiding literature and stimulus-organism-response to better explore the academic behavior in a knowledge setting. (shrink)

Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...) models cannot be compared to econometric models fairly. To solve these two problems, we further introduce a likelihood-based loss function to train the deep learning models and test all the models by the likelihood of the test sample. The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function. (shrink)

Stephen Yablo’s notion of proportionality, despite controversies surrounding it, has played a significant role in philosophical discussions of mental causation and of high-level causation more generally. In particular, it is invoked in James Woodward’s interventionist account of high-level causation and explanation, and is implicit in a novel approach to constructing variables for causal modeling in the machine learning literature, known as causal feature learning (CFL). In this article, we articulate an account of proportionality inspired by both Yablo’s account of proportionality (...) and the CFL account of variable construction. The resulting account has at least three merits. First, it illuminates an important feature of the notion of proportionality, when it is adapted to a probabilistic and interventionist framework. The feature is that at the center of the notion of proportionality lies the concept of “determinate intervention effects.” Second, it makes manifest a virtue of (common types of) high-level causal/explanatory statements over low-level ones, when relevant intervention effects are determinate. Third, it overcomes a limitation of the CFL framework and thereby also addresses a challenge to interventionist accounts of high-level causation. (shrink)

The interference of the complex background and less information of the small targets are two major problems in vehicle attribute recognition. In this paper, two cascaded networks of vehicle attribute recognition are established to solve the two problems. For vehicle targets with normal size, the multitask cascaded convolution neural network MC-CNN-NT uses the improved Faster R-CNN as the location subnetwork. The vehicle targets in the complex background are extracted by the location subnetwork to the classification subnetwork CNN for the classification. (...) The implementation of this task decomposition strategy effectively eliminates the interference of the complex background in target detection. For vehicle targets with small size, the multitask cascaded convolution neural network MC-CNN-ST applies the network compression strategy and the multilayer feature fusion strategy to extract the feature maps. These strategies enrich the location information and semantic information of the feature maps. In order to optimize the nonlinear mapping ability and the hard-to-detect samples mining ability of the networks, the activation function and the loss function in the two cascaded networks are improved. The experimental results show that MC-CNN-NT for the normal targets and MC-CNN-ST for the small targets achieve the state-of-the-art performance compared with other attribute recognition networks. (shrink)

In this essay I suggest that we view design principles in systems biology as minimal models, for a design principle usually exhibits universal behaviors that are common to a whole range of heterogeneous (living and nonliving) systems with different underlying mechanisms. A well-known design principle in systems biology, integral feedback control, is discussed, showing that it satisfies all the conditions for a model to be a minimal model. This approach has significant philosophical implications: it not only accounts for how design (...) principles explain, but also helps clarify one dispute over design principles, e.g., whether design principles provide mechanistic explanations or a distinct kind of explanations called design explanations. (shrink)

This essay considers a mixed-effects modeling practice and its implications for the philosophical debate surrounding reductive explanation. Mixed-effects modeling is a species of the multilevel modeling practice, where a single model incorporates simultaneously two (or even more) levels of explanatory variables to explain a phenomenon of interest. I argue that this practice makes the position of explanatory reductionism held by many philosophers untenable because it violates two central tenets of explanatory reductionism: single-level preference and lower-level obsession.

Polger and Shapiro (2016) claim that unlike human-made artifacts cases of multiple realization in naturally occurring systems are uncommon. Drawing on cases from systems biology, I argue that multiple realization in naturally occurring systems is not as uncommon as Polger and Shapiro initially thought. The relevant cases, which I draw from systems biology, involve generalizable design principles called network motifs which recur in different organisms and species and perform specific functions. I show that network motifs with entirely different underlying causal (...) structures can perform the same function of interest. The article also considers the scope problem of multiple realization. (shrink)

Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on the identification of performed gait. However, the bionic prosthesis needs to know the next movement at the beginning of a new gait, especially in complex operation environments. In this paper, an upcoming locomotion prediction scheme via multilevel classifier fusion was proposed for the complex operation. At first, two motion states, including steady state and transient state, were defined. Steady-state recognition was backtracking of a completed (...) gait, which would be used as prior knowledge of motion prediction. In steady-state recognition, surface electromyographic and inertial sensors were fused to improve recognition accuracy; five typical locomotion modes were recognized by random forest classifier with over 97.8% accuracy. The transient state was defined as an observation period at the initial stage of upcoming movement, in which only the sEMG signal was recorded due to the limitation of sliding window length. LightGBM classifier was validated to outperform other methods in the accuracy and prediction time of transient-state recognition. Finally, a simplified HMM model based on prior knowledge and observation result was constructed to predict upcoming locomotion. The results indicated that the locomotion prediction was over 91% accuracy. The proposed scheme implements the locomotion prediction at the initial stage of each gait and provides critical information for the gait control of lower limb prosthesis. (shrink)

Probably nothing is more complicated, misunderstood, and thus damaged, in a way of speaking, than the viewpoint of "one divides into two" when criticism is being made of the various fallacies spread by Lin Biao and the "gang of four." Some people hold that Lin and the gang's activities to split the Party and their philosophy of making others suffer were related to this viewpoint and thus conclude that this viewpoint is one-sided. Others are of the opinion that this viewpoint (...) constitutes the philosophical base for the ultra-Left line. Such ideas circulate even among a part of the philosophy researchers. It is necessary to repudiate the gang's distorted and subjective explanation and application of the viewpoint "one divides into two"; so is the exposure of a certain simplistic tendency in our previous propaganda work. However, it is inappropriate to view the distortion and simplification as something inherent in the proposition that "one divides into two." After all, is such a proposition scientific or not? Should it be seen as a "mistake" or a "heresy" that ought to be taken out from Marxism-Leninism and Mao Zedong Thought? This, of course, is an issue of theoretical principle and must be clarified through discussion. (shrink)

本书包括王勃滕王阁序的写作时间及其他,略谈词的起源与产生时代,北宋中叶以前词的发展等内容.

Human resource management (HRM) is underpinned by, and contributes to, the business ethics of the organization. Opportunities available to men and women as managers, and the role of managers more broadly, are critical in shaping business ethics in contemporary organizations. Research on women in management therefore provides an important lens through which to understand the institutional and cultural context of HR ethics as part of the business ethics of a country. To date, women in management in China remains an under-charted (...) topic of research in the HRM field. Extant research and recommendations on the improvement of the position of women in management in China focus primarily on women themselves from a traditional, gender norm angle, instead of challenging the political and patriarchal system or any institutionalized discriminatory practice. This is, in part, due to the absence in China of a critical feminism approach or feminist movement, as found in Western societies, and the continuing strong influence of the state and media in portraying women’s (stereotypical) image. There is significant room for research capacity building in scholarship on women in management research, for example, and through cross-fertilization of different disciplines and more rigorous research design and execution. This paper provides a critical analysis of extant literature on women in management and the ideologies underpinning it, and offers some suggestions for future research and conceptualization. (shrink)