In this paper we show that if there is a weakly normal ideal on κ then for each $\eta < \kappa, E^\eta_\kappa$ fails. This greatly improves a theorem of C. A. Johnson.

Ben shu zuo zhe tong guo zi shen de li jie he jing yan dui " dao de jing " jin xing le jie shuo he chan shi, bing jiang qi yu tai ji quan de lian quan dao li lian xi de si si ru kou. quan shu gong fen ba shi yi zhang, ji dui " dao de jing " de ba shi yi zhang fen bie zuo jie, ti lian qi zhu yao jing shen, jiang (...) zhi yu tai ji quan de xiang si quan li jie he chan shi. (shrink)

Ben shu tong guo yin ru xi fang xian dai yu yan zhe xue, mei xue de fang fa yu Zhongguo chuan tong wen hua zhi si zhan dui hua yu jiao liu, shi jie, wen xue de ben zhi guan lian ru shou, jie shi chu xing cheng yan yu yi zhi jian mao dun yu zhang li de ben yuan: cun zai ben shen zi xing xian xian (cheng ming) bing zi xing yin ni (zhe bi) de (...) te xing, shi ta zai xian xiang shang yong yuan cheng xian chu you (zai chang) yu wu (bu zai chang) de dong tai yun dong, er zhe zhong yun dong ben shen qia qia you gou cheng le yan yu yi de yong heng dong neng he zhang li. (shrink)

Ben shu tong guo yin ru xi fang xian dai yu yan zhe xue, mei xue de fang fa yu Zhongguo chuan tong wen hua zhi si zhan dui hua yu jiao liu, shi jie, wen xue de ben zhi guan lian ru shou, jie shi chu xing cheng yan yu yi zhi jian mao dun yu zhang li de ben yuan: cun zai ben shen zi xing xian xian (cheng ming) bing zi xing yin ni (zhe bi) de (...) te xing, shi ta zai xian xiang shang yong yuan cheng xian chu you (zai chang) yu wu (bu zai chang) de dong tai yun dong, er zhe zhong yun dong ben shen qia qia you gou cheng le yan yu yi de yong heng dong neng he zhang li. (shrink)

Ben shu zhu yao yan yong bing zun xun "li shi yu luo ji xiang tong yi" de yuan ze he fang fa, xiang xi shu li, jian tao zuo wei ming dai zhong qi si xiang jia de Huang Wan, qi yi sheng dao xue si xiang jin zhan guo cheng zhong cong Song ru zhi xue (li xue) dao Wang Yangming liang zhi xue (xin xue), zai dao hui gui jing dian (jing xue) de yan bian li cheng, (...) yi qi lun zheng qi xue shu yan bian fan shi zhi yu Ming Qing xue shu zhuan xing de "xian dao xing" dian fan yi yi. (shrink)

The puzzle has played a significant role in Chinese culture since its formation. The Lo-shu and the Ba-gua, the most prominent number puzzle in ancient China, with its instinctual quest for universal order, has constructed a philosophical system that has incorporated human being as an integral part of nature. The system has exerted great influence on Chinese culture to this day. Because of its mysterious origin and magical evolution, the Ba-gua has been used to predict the fortune of both the (...) nation and the individual. The Chinese character-deconstructing puzzle has also functioned as a foreshadow of one’s fate. By analyzing the components of a character, written by the subject in a specific context, divination was made. In contrast to the solemn mission of the number puzzle, and the character-deconstructing puzzle, the wedding puzzle and the riddle are lighthearted, and intended to provoke humor, and to function pedagogically. A latecomer, once the mysteriousness of number and character has faded, the riddle is used to promote the intellectual development of children. The wedding puzzle has been popular among those who are illiterate and make analogy by using common occurrence to allude to taboo in the oral dialect. Since their illiteracy has excluded them from reading and writing, they are free to make puzzles in their own dialect without being limited by a reverence for the written character. (shrink)

The existing computer technology is used to conduct an in-depth study and analysis of drilling waste treatment, and the results are analyzed by computer simulation optimization algorithms. Based on the system theory, we define the research system, combine the unique characteristics of the technological innovation mechanism of drilling waste treatment, and use the internal and external factors affecting the technological innovation dynamics of drilling waste treatment, such as drilling waste treatment capacity, from the current actual situation. On this basis, factor (...) analysis is used to analyze the factors affecting technological innovation dynamics from both internal and external aspects of the system, establish a system model of technological innovation dynamics of drilling waste disposal, and give the initial values of the simulation model. This will reduce the pollution of the environment and enhance the competitiveness of enterprises. Drilling waste treatment technology is getting increased attention, but at this stage, there is no suitable technology innovation mechanism for drilling waste treatment. Through the simulation trend chart obtained by sensitivity analysis, the key factors in the system are found, and the innovation power mechanism of drilling waste treatment technology is constructed, which provides a basis for the formulation of enterprise technological innovation strategies and the development of technological innovation activities. Research on the dynamic mechanism of drilling waste treatment technology innovation explores a waste treatment mechanism suitable for the drilling industry, so as to promote the steady development of the drilling industry and at the same time provide theoretical support for the treatment of drilling engineering waste. (shrink)

Model predictive control technology can effectively reduce the bad effect caused by inaccurate data prediction in microgrid energy management problem. However, the use of MPC technology needs to dynamically select an optimal solution from the Pareto solution set to implement, which needs the participant of the decision-makers frequently. In order to reduce the burden on decision-makers, we designed a knee point-based evolutionary multiobjective optimization algorithm, termed KBEMO. Knee point is the solution on Pareto front with the maximum marginal utility, which (...) is considered as the preferred solution if there is no other preference. This algorithm focuses on obtaining the knee region and automatically outputs knee points after the optimization. By combining this algorithm with MPC technology, it can effectively reduce the amount of computational consumption and obtain better convergence. Experimental results show that this method is more competitive than the traditional single-objective MPC method. (shrink)

Speech recognition by second language (L2) learners in optimal and suboptimal conditions has been examined extensively with English as the target language in most previous studies. This study extended existing experimental protocols ( Wang et al., 2013 ) to investigate Mandarin speech recognition by Japanese learners of Mandarin at two different levels (elementary vs. intermediate) of proficiency. The overall results showed that in addition to L2 proficiency, semantic context, F0 contours, and listening condition all affected the recognition performance on the (...) Mandarin sentences. However, the effects of semantic context and F0 contours on L2 speech recognition diverged to some extent. Specifically, there was significant modulation effect of listening condition on semantic context, indicating that L2 learners made use of semantic context less efficiently in the interfering background than in quiet. In contrast, no significant modulation effect of listening condition on F0 contours was found. Furthermore, there was significant interaction between semantic context and F0 contours, indicating that semantic context becomes more important for L2 speech recognition when F0 information is degraded. None of these effects were found to be modulated by L2 proficiency. The discrepancy in the effects of semantic context and F0 contours on L2 speech recognition in the interfering background might be related to differences in processing capacities required by the two types of information in adverse listening conditions. (shrink)

Recent studies have found abnormal levels of brain-derived neurotrophic factor in a variety of central nervous system diseases. This suggests that BDNF may be involved in the pathogenesis of these diseases. Moreover, regulating BDNF signaling may represent a potential treatment for such diseases. With reference to recent research papers in related fields, this article reviews the production and regulation of BDNF in CNS and the role of BDNF signaling disorders in these diseases. A brief introduction of the clinical application status (...) of BDNF is also provided. (shrink)

Building upon earlier work of Donna Carr, Don Pelletier, Chris Johnson, Shu-Guo Zhang and others, we show that a normal ideal J on Pκ is strongly normal if and only if J+→< 2 for every μ < κ, and we describe the least normal ideal J on Pκ such that J+ →< 2.

© 2015, Springer-Verlag Berlin Heidelberg.Genetic studies have identified single nucleotide polymorphisms associated with the risk of prostate cancer. It remains unclear whether such genetic variants are associated with disease aggressiveness. The NCI-SPORE Genetics Working Group retrospectively collected clinicopathologic information and genotype data for 36 SNPs which at the time had been validated to be associated with PC risk from 25,674 cases with PC. Cases were grouped according to race, Gleason score and aggressiveness. Statistical analyses were used to compare the frequency (...) of the SNPs between different disease cohorts. After adjusting for multiple testing, only PC-risk SNP rs2735839 was significantly and inversely associated with aggressive and high-grade disease in European men. Similar associations with aggressive and high-grade disease were documented in African-American subjects. The G allele of rs2735839 was associated with disease aggressiveness even at low PSA levels in both European and African-American men. Our results provide further support that a PC-risk SNP rs2735839 near the KLK3 gene on chromosome 19q13 may be associated with aggressive and high-grade PC. Future prospectively designed, case-case GWAS are needed to identify additional SNPs associated with PC aggressiveness. (shrink)

In Mencius' theory of the original goodness in human nature, fate is the original source of xing (nature). Heart is the appearance of nature. There are two aspects to nature and heart: ti (form) and yong (function). From the perspective of form, nature is liangzhi (the goodness in conscience) and liangneng (the inborn ability to be good) in human beings and heart is human's conscience and original heart. From the perspective of function, nature is the four things of benevolence, righteousness, (...) propriety and wisdom, and heart consists in compassion, shame, respect, right and wrong. As the foundation for the theory of the original goodness in human nature, conscience and heart are a combination of human moral instinct, moral rationality and moral volition, whereas moral instinct gradually rises to moral volition and passes through moral rationality. Mencius' theory of the original goodness in human nature is not a theory of future goodness, but a theory of original goodness. /// 在孟子的性骨告中，命是性的本原 心是性的显现。性和心的含义都包括 "体" 和 "用" 两层:从体而言，性是人之所以为人的良知良能，心是人的良心和L'; 从用而 言，性是仁义礼智四端，心是恻隐、羞恶、恭敬、剧阳心。良心司马L作为性都色的立 论基础，是人的道德本能、道德理性和道德意志的集舍，其显现过程勘人道德本能出发 经过道德理性逐渐上升到道德意志的过程。孟子的性骨色不是向善论，而是性本善论。. (shrink)

Previous research has explored how emotional valence affected face-context associative memory, while little is known about how arousing stimuli that share the same valence but differ in emotionality are bound together and retained in memory. In this study, we manipulated the emotional similarity between the target face and the face associated with the context emotion, and examined the effect of emotional similarity of negative emotion on face-context associative memory. Our results showed that the greater the emotional similarity between the faces, (...) the better the face memory and face-context associative memory were. These findings suggest that the processing of facial expression and its associated context may benefit from taking into account the emotional similarity between the faces. (shrink)

Business Ethics: A European Review, EarlyView.

An experiment explored the acquisition of conscious and unconscious knowledge of semantic prosody in a second language under incidental and intentional learning conditions. Semantic prosody is the conotational coloring of the semantics of a word, largely uncaptured by dictionary definitions. Contrary to some claims in the literature, we revealed that both conscious and unconscious knowledge were involved in the acquisition of semantic prosody. Intentional learning resulted in similar unconscious but more conscious knowledge than incidental learning. The results are discussed in (...) terms of second language learning and the nature of unconscious knowledge. (shrink)

The target article by David Alfandre et al. offers a new ethical framework to guide COVID-19 contingency surge planning and response, and applies this ethical framework to three case example...

ObjectiveThis study explores the relationship between physical exercise and school adaptation of junior middle school students and constructs a chain intermediary model through the intermediary role of psychological resilience and sports learning motivation.MethodsUsing the stratified cluster sampling method, 930 junior middle school students in Anhui Province were measured in group psychology by using the physical exercise rating scale, adolescent psychological resilience scale, physical learning motivation scale and school adaptation scale. The statistical software SPSS 23.0 and process plug-in were used for (...) statistical processing, and the common method deviation test was carried out by Harman single-factor control method. Finally, the bootstrap sampling test method and process plug-in were used to test the significance of intermediary effect.Results The direct prediction effect of physical exercise on school adaptation is remarkable ; psychological resilience and sports learning motivation are the intermediary variables of the relationship between physical exercise and school adaptation; psychological resilience and sports learning motivation play a chain mediation role in the relationship between physical exercise and school adaptation. The intermediary effect is composed of three indirect effects: physical exercise → psychological resilience → school adaptation, physical exercise → physical learning motivation → school adaptation, physical exercise → psychological resilience → physical learning motivation → school adaptation.ConclusionsPhysical exercise can directly improve the school adaptation of junior middle school students, which can also affect junior middle school students’ school adaptation indirectly through psychological resilience or sports learning motivation, and it can influence school adaptation through the chain mediation of psychological resilience and sports learning motivation. (shrink)

Linear regression and its variants have been widely used for classification problems. However, they usually predefine a strict binary label matrix which has no freedom to fit the samples. In addition, they cannot deal with complex real-world applications such as the case of face recognition where samples may not be linearly separable owing to varying poses, expressions, and illumination conditions. Therefore, in this paper, we propose the kernel negative ε dragging linear regression method for robust classification on noised and nonlinear (...) data. First, a technique called negative ε dragging is introduced for relaxing class labels and is integrated into the LR model for classification to properly treat the class margin of conventional linear regressions for obtaining robust result. Then, the data is implicitly mapped into a high dimensional kernel space by using the nonlinear mapping determined by a kernel function to make the data more linearly separable. Finally, our obtained KNDLR method is able to partially alleviate the problem of overfitting and can perform classification well for noised and deformable data. Experimental results show that the KNDLR classification algorithm obtains greater generalization performance and leads to better robust classification decision. (shrink)

The target article by Laacke et al. focuses on the specific context of identifying people in social media with a high risk of depression by using artificial intelligence technologies. I...

A surprisingly large number of lottery prizes go unclaimed every year. This leads us to suspect that what people bet on is not only money, but also good mood. We conducted three studies to explain, from an emotional perspective, why people play lottery games. We first conducted two survey studies to assess mood state reported by online (Study 1a) and offline lottery buyers (Study 1b) at different stages of lottery play. The results revealed that participants’ highest mood appeared before knowing (...) whether they had won. In Study 2, we manipulated the means of reward (lottery tickets vs. cash) and compared participants’ mood changes at different stages of a rewards game in the laboratory. We found the following: first, lottery group participants were generally in a better mood; second, 42% of lottery group participants did not come to the laboratory to collect scratch cards; and third, lottery group participants took more time to return to the laboratory to check their tickets than participants in the cash group. In Study 3, we examined whether priming good or bad mood could influence participants’ preferences for cash versus lottery tickets. The results revealed that participants who were primed for poor mood had a higher preference for lottery tickets compared with their good mood counterparts. These findings suggest that what our participants sought in lottery play was not only money, but improved mood. (shrink)

Objective: This study aimed to contribute to understanding the mechanisms underlying the association between empowering motivational climate in physical education and social responsibility among high school students, and have important implications for interventions aimed at improving social responsibility among high school students.Methods: Through the quota sampling, 802 students that complied with the requirements were surveyed from Anhui Province in China. Empowering motivational climate in physical education, social responsibility, interpersonal disturbance, and general self-efficacy were assessed using standard scales. For data analysis, (...) Pearson’s correlation analysis, structural equation model test, and bias-corrected percentile Bootstrap method were carried out in turn.Results: Common method biases can be accepted in this study, and the correlation among empowering motivational climate in physical education, social responsibility, interpersonal disturbance, and general self-efficacy are all significant; Empowering motivational climate in physical education, interpersonal disturbance and general self-efficacy can all predict social responsibility significantly; Structural equation modeling indicates good fit: χ2/df = 2.86, RMESA = 0.068, CFI = 0.92, NNFI = 0.91, NFI = 0.90, GFI = 0.93. It indicates that interpersonal disturbance and general self-efficacy can play mediating roles between empowering motivational climate in physical education and social responsibility, respectively. After that, interpersonal disturbance as well as general self-efficacy in turn plays the chain mediating effect in the relationship between empowering motivational climate in physical education and social responsibility. The effect size of the mediating effect of interpersonal disturbance and general self-efficacy in the relationship between empowering motivational climate in physical education and social responsibility is 0.048 and 0.148, respectively, and the effect size of the chain mediating effect is 0.031.Conclusion: Empowering motivational climate in physical education not only has a direct effect on social responsibility among high school students, but also influences social responsibility by the chain mediating effect of interpersonal disturbance and general self-efficacy. (shrink)

This study aims to explore the relationship between physical exercise, self-control, physical exercise atmosphere, and mobile phone addiction tendency among Chinese university students. Through the quota sampling, 1,433 students complied with the requirements were surveyed from 10 universities in China. PE, SC, PEA, and MPAT were assessed using standard scales. For data analysis, common method deviation test, mean number, standard deviation, correlation analysis and structural equation model analysis were carried out in turn. The results showed PE and MPAT were negatively (...) related. The interaction item PEA and SC could significantly positively predict the tendency of MPAT. In the high PEA group, SC had a significant negative predictive effect on the tendency of MPAT ; However, in the low PEA group, the negative predictive effect was stronger. The present study shows that PE significantly negatively predicted the tendency of MPAT, and SC played a complete mediating role in the relationship between PE and MPAT; The second half of the indirect effect of PE and MPAT was regulated by the PEA. The PEA will enhance the influence of SC on MPAT, but the high PEA will increase the level of MPAT of individuals at a very high level of SC. (shrink)

This study investigates how the explicitly anti-prosocial and anti-pro-environmental speech by political elites affects firms’ environmental and social (E&S) performance. Using the case of the Donald J. Trump (DJT) campaign for president in the United States when he gave out controversial and inflammatory remarks, including those regarding E&S issues, we find that local firms’ E&S performance decreased significantly in the year following DJT’s presidential campaign rally compared with firms in other geographic areas where there was no DJT’s presidential campaign event. (...) A further test indicates that the change in firms’ E&S performance can be driven by DJT remarks’ influence on local social norms shift. Furthermore, we show that the post-rally decrease of local firms’ E&S performance is more pronounced for local firms that operate primarily locally or local firms that are more sensitive to political uncertainty. Taken together, these findings indicate that political events such as political elites giving remarks can affect firms’ E&S performance. (shrink)

Facing an increasingly competitive market, enterprises need correct decisions to solve operational problems in a timely manner to maintain their competitive advantages. In this context, insufficient information may lead to an overfitting phenomenon in general mathematical modeling methods, making it difficult to ensure good analytical performance. Therefore, it is important for enterprises to be able to effectively analyze and make predictions using small data sets. Although various approaches have been developed to solve the problem of prediction, their application is often (...) limited by insufficient observations. To further enforce the effectiveness of data uncertainty processing, this study proposed an aggregating prediction model for management decision analysis using small data sets. Compared with six popular approaches, the results from the experiments show that the proposed method can effectively deal with the small data set prediction problem and is thus an appropriate decision analysis tool for managers. (shrink)

This paper focuses on modeling and control of a class of serial variable stiffness actuators based on level mechanisms for robotic applications. A multi-input multi-output complex nonlinear dynamic model is derived to fully describe SVSAs and the relative degree of the model is determined accordingly. Due to nonlinearity, high coupling, and parametric uncertainty of SVSAs, a neural network-based adaptive control strategy based on feedback linearization is proposed to handle system uncertainties. The feasibility of the proposed approach for position and stiffness (...) tracking of SVSAs is verified by simulation results. (shrink)

Background and aimThe postpartum depression literacy of perinatal women is closely related to the occurrence, recognition, and treatment of postpartum depression, therefore valid instruments for evaluating the level of PoDLi are of great significance for both research and clinical practice. This study aimed to cross-culturally adapt the postpartum depression literacy scale into Chinese and to test its psychometric properties among Chinese perinatal women.Materials and methodsA cross-sectional study was conducted from April to May 2022 in a tertiary hospital in Hangzhou, Zhejiang (...) Province, China. 619 out of the 650 perinatal women that were approached via a convenience sampling method completed the Chinese version of the PoDLiS. Content validity [the content validity index of items and scale-level content validity index ] was evaluated by an expert panel. Psychometric properties, including item analysis, structure validity, convergent and discriminant validity, reliability, criterion validity, and floor/ceiling effect were examined.ResultsThe final version of C-PoDLiS is a six-factor structure consisting of 27 items, which explained 61.00% of the total variance. Adequate content validity was ensured by the expert panel. The modified confirmatory factor analysis model revealed that the 6-factor model fitted the data well. The total Cronbach’s α was 0.862, the total McDonald’s ω was 0.869, and the test-retest reliability coefficient was 0.856. Results of convergent validity and discriminant validity provided good or acceptable psychometric support. Significant correlations between scores of the C-PoDLiS and Mental health literacy scale and Attitudes toward seeking professional psychological help short form scale supported good concurrent and predictive validity, respectively. No floor/ceiling effect was found.ConclusionThe C-PoDLiS was demonstrated to be a sound instrument with good reliability and validity for evaluating Chinese perinatal women’s PoDLi levels. Its use in the future can facilitate data aggregation and outcome comparisons across different studies on this topic. (shrink)