Many empirical studies have been conducted to investigate self-regulated learning in the Western countries. Less well investigated is the SRL in the Chinese Mainland students and how it affects their academic achievement. On the basis of PISA 2009, this paper is aimed at exploring the SRL of 15-year-old Shanghai students, as measured by cognitive strategy, metacognition, and motivational belief. In the aspect of SRL nature, the results reveal that 15-year-old students in Shanghai use elaboration strategy frequently and seldom use memorization (...) strategy, and that they have high metacognition in understanding, remembering, and summarizing but have low control strategy, and that their enjoyment of reading is relatively high. In the aspect of SRL’s consequence for reading literacy, findings from multilevel linear regression corroborate previous evidence from the Western countries about the effect of SRL on academic achievement. Specifically, elaboration strategy, metacognition in understanding and remembering, metacognition in summarizing, control strategy, and enjoyment of reading are conducive to students’ reading literacy, while memorization strategy exerts a significantly negative effect on reading literacy. The findings could be useful in helping us to gain a better understanding of Shanghai students’ SRL. (shrink)

The interpretability of AI is just as important as its performance. In the LegalAI field, there have been efforts to enhance the interpretability of models, but a trade-off between interpretability and prediction accuracy remains inevitable. In this paper, we introduce a novel framework called LK-IB for compulsory measure prediction (CMP), one of the critical tasks in LegalAI. LK-IB leverages Legal Knowledge and combines an Interpretable model and a Black-box model to balance interpretability and prediction performance. Specifically, LK-IB involves three steps: (...) (1) inputting cases into the first module, where first-order logic (FOL) rules are used to make predictions and output them directly if possible; (2) sending cases to the second module if FOL rules are not applicable, where a case distributor categorizes them as either “simple” or “complex“; and (3) sending simple cases to an interpretable model with strong interpretability and complex cases to a black-box model with outstanding performance. Experimental results demonstrate that the LK-IB framework provides more interpretable and accurate predictions than other state-of-the-art models. Given that the majority of cases in LegalAI are simple, the idea of model combination has significant potential for practical applications. (shrink)

Residual useful lifetime prediction plays a key role of failure prediction and health management in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization algorithm to estimate the (...) prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models. (shrink)

本书内容包括:启蒙思想的形成、文学革命的意义、反传统的得失、启蒙进路的歧异、文化方略的改换等。.

Compare with other professions, teachers are reported to have a higher risk of poor mental health. This study examined the relationships between emotional intelligence, perceived organizational justice, and mental health among Chinese high school teachers. Three hundred and eighty-one high school teachers, with their age range between 21 and 50 years, were administered the Emotional Intelligence Scale, Perceived Organizational Justice Scale, and Mental Health Scale. The result found that emotional intelligence and perceived organizational justice directly influence the mental health of (...) high school teachers. In addition, perceived organizational justice mediated the association between emotional intelligence and mental health. Moreover, the present study analyzes the different role of subtypes of perceived organizational justice on the relationships between emotional intelligence and mental health, and the results showed that the mediating effects of perceived distributive justice and interactive justice on emotional intelligence and mental health are not significant, only the perceived procedural justice mediated the relationships between emotional intelligence and teachers’ mental health. The results are discussed in a conceptual context. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

本书评介了普列汉诺夫及其美学思想,尤其是从艺术的起源、艺术与社会心理等方面讨论了普列汉诺夫的观点,提出许多新的见解。.

v. 1 Qi shi ji qian Zhongguo de zhi shi, si xiang yu xin yang shi jie -- v. 2 Qi shi ji zhi shi jiu shi ji Zhongguo de zhi shi, si xiang yu xin yang shi jie.

Ben shu shi yi ben yan jiu ke xue li shi de shu ji. zhu yao nei rong bao kuo: Xi fang wen hua chuan tong he jin dai ke xue de dan sheng, Wen yi fu xing he Yidali ke xue zhong xin de xing qi, Xin jiao jing shen he Yingguo ke xue zhong xin shi dai de dao lai deng.

本书收录了:柯小刚《年龄的临界》、黄敏《临界的思想》、方向红《试论在场的三个现象学向度》、王凌云《论起誓:一个现象学的描述》等文章。.

本书主讲现象学的概况、来源与特点;海德格尔的存在论——解释学式的现象学;发生现象学一瞥——经验的视域结构与被动发生等。.

本书是有关秦思想史研究专著. 作者通过对儒家早期思想的研究, 从中提炼出"人道"的概念, 作为其理论体系的内核和本书的线索, 并分析了孔子--子思--孟子的思想脉络, 其研究具有一定的气氛性和学术价值.

本书内容包括:导论、生命与智慧的根源、逻辑启蒙与熏习西方哲学、站在西方哲学巨人的肩上、复归中国哲学继承儒学衣钵等。.

本书从朱熹关于“曾点气象”话题的讨论契入,直探朱子思想中的有无虚实之辨和儒学与佛老之辨等关键问题,旁及历史上相关“曾点气象”的评论,进而引出中国哲学中关于精神境界、本体与功夫的讨论等。.

本书从中国是一个超稳定结构假说出发,讨论中国历代政治文化的特点及其演化机制。通过比较魏晋南北朝时期佛教传入与近代西方文明扩张这两次重大的外来文化冲击,探讨中国文化融合消化外来文化所具有的共同模式,并进 而揭示二十世纪中国现代思想的起源.