This study aimed to investigate how visual–spatial ability predicted academic achievement through arithmetic and reading abilities. Four hundred and ninety-nine Chinese children aged from 10.1 to 11.2 years were recruited and measured visual–spatial, arithmetic, and reading abilities. Their mathematical and Chinese language academic achievements were collected for two consecutive school years, respectively, during the same year as cognitive tests and 1 year after the cognitive tests. Correlation analysis indicated that visual–spatial, arithmetic, and reading abilities and academic achievements were significantly correlated (...) with each other. The structural equation modelling analyses showed that there were two paths from visual–spatial ability to academic achievement: a major path mediated by arithmetic ability and a minor serial mediation path from visual–spatial ability to arithmetic ability to reading ability, then to academic achievement. Results shed light on the importance of visual–spatial ability in education. (shrink)

BackgroundChildhood experiences can exert a huge impact on adult psychological conditions. Previous studies have confirmed the effects of adverse childhood experiences and benevolent childhood experiences on psychological distress separately, but few studies explored a combined effect of ACEs and BCEs on psychological distress. The aim of this study was to explore a combined effect of ACEs and BCEs on psychological distress among Chinese undergraduates.MethodsParticipants were undergraduates aged 17–24 years and completed a self-reported questionnaire. A series of regression analyses were conducted (...) to examine the association between childhood experiences and psychological distress.ResultsA total of 65.7% of undergraduates had BCEs, 27.1% of undergraduates had ACEs, and 12.9% of undergraduates had ACEs and BCEs simultaneously. Logistic regression analysis indicated that undergraduates who experienced high ACEs were more likely to have a high risk of psychological distress [odds ratio = 1.46, 1.84, and 3.15 for uncertainty stress, depressive symptoms, and suicidal ideation, respectively], while undergraduates who experienced High BCEs were less likely to have psychological distress compared with Low-Both group. The combined effect of ACEs and BCEs could also play as a protective factor in uncertainty stress and depressive symptoms.ConclusionOur findings suggested that ACEs and BCEs could not only predict the psychological distress independently, but also BCEs could counteract the negative effect of ACEs in psychological problems. There is an even greater need to identify and support the victims of ACEs and to increase BCEs in early childhood. (shrink)

The epistemological version of structural realism, proposed by Cao Tianyu, has great influence in the philosophy of science. Syntheses has published a special volume discussing the topic. Cao criticizes anti-realism, as well as the epistemic and ontic versions of structural realism. From the concepts of structure, ontology, and construction, he analyzes the objectivity of scientific theories as having five aspects: construction, historicity, holism, revision, and revolution. This paper systematically analyzes and comments on Cao's structural realism. The author agrees with his (...) criticism of the under-determination thesis, is neutral to his argument against ontological discontinuity, and questions his universal language argument. (shrink)

In this paper, we will prove that the plus cupping degrees generate a definable ideal on c.e. degrees different from other ones known so far, thus answering a question asked by Li and Yang (Proceedings of the 7th and the 8th Asian Logic Conferences. World Scientific Press, Singapore, 2003).

本书分“德治论坛”、“全球化与伦理问题论坛”、“青少年道德教育论坛”三部分,收录了“儒家伦理与道德义务的权利性条件”、“生命伦理学的前沿问题”、“荀子的生态伦理思想”、“科技时代性伦理问题的向度”等文 章。.

Since the publication of The Structure of Scientific Revolution , relativism, resulting from the concepts of paradigm and paradigm shift, becomes one of the central problems in the philosophy of science. The author of this dissertation agrees with Thomas Kuhn in his criticism of the Logical Positivism, but denies that relativism arrives as a direct consequence. In this dissertation, the author tries to tackle the problem by analyzing some underlying basic concepts, e.g. paradigm, language and rationality. Firstly, he points out (...) that a hard-core model of paradigm, as understood by I. Lakatos, is not totally appropriate for an all-rounded understanding of a paradigm. Rather, among the elements certain "family resemblance" comes to the surface, they are therefore regarded as belonging to the same paradigm. A paradigm is not a hindrance to but an exemplar for our learning. And a paradigm shift needs not result in a total switch over, it could be a revolution with inheritance. Secondly, the incommesurability of languages does not mean the breakdown of communication between different linguistic communities. True bilinguals can achieve cross-paradigm understanding. In addition, due to the creative activities within a language, the problem of untranslatability could be solved. Finally, rationality, rather than assuming a hierarchical structure, could be taken as a reticulated model. As a result, various disagreements at the axiological level could be rationally resolved. ;The author also tackles in passing some issues concerning language and rationality in the Chinese tradition of science, and compares this tradition with that of the western. (shrink)

We give a survey of the study of nonstandard models in recursion theory and reverse mathematics. We discuss the key notions and techniques in effective computability in nonstandard models. and their applications to problems concerning combinatorial principles in subsystems of second order arithmetic. Particular attention is given to principles related to Ramsey's Theorem for Pairs.

Over the past two decades, there has been a growing interest in the use of meditation to improve cognitive performance, emotional balance, and well-being. As a consequence, research into the psychological effects and neural mechanisms of meditation has been accumulating. Whether and how meditation affects decision making is not yet clear. Here, we review evidence from behavioral and neuroimaging studies and summarize the effects of meditation on social and non-social economic decision making. Research suggests that meditation modulates brain activities associated (...) with cognitive control, emotion regulation and empathy, and leads to improved non-social and social decision making. Accordingly, we propose an integrative model in which cognitive control, emotional regulation, and empathic concern mediate the effects of meditation on decision making. This model provides insights into the mechanisms by which meditation affects the decision making process. More evidence is needed to test our explanatory model and to explore the function of specific brain areas and their interactive effects on decision making during meditation training. (shrink)

This paper discusses so-called post-trial access to drugs for patients who participated in clinical trials in Brazil. Brazil is currently a relevant country for the pharmaceutical industry due to the dimensions of its actual and potential market. As a consequence, the number of pharmaceutical trials has been rising. It is the largest market for pharmaceutical companies in Latin America, the 8th biggest in the world and second only to China among the so-called BRICS’s emerging countries. The demand for pharmaceutical products (...) in the country has been increasing by double digits over the last few years, reaching 20% in 2008. Not surprisingly, we are also witnessing a steady increase in the number of applications by national and international pharmaceutical companies before ethical research authorities for authorization to perform clinical trials of drugs. (shrink)

Extant studies on private regulation have not reached a sufficient understanding about the interplay between private and public regulations, due to underdeveloped theoretical framework and the lack of large-sample empirical investigations. Leveraging ISO 14001 adoption among Chinese firms as the research context, the current research draws on the institutional theory to examine how firm’s adoption of ISO 14001 standard, as a specific form of private regulation, affects the incidence of public environmental inspections. To test our arguments, we conduct two empirical (...) studies. Study 1 uses the first-hand data of a corporate social responsibility survey on Chinese manufacturing firms, whereas Study 2 deploys the second-hand longitudinal archival data of the government environmental inspections on Chinese listed firms. Both of the two studies reveal consistent findings that ISO 14001 adoption decreases the incidence of government environmental inspections, and that the effect of ISO 14001 adoption becomes stronger in state-owned enterprises and firms with top management team’s political ties. Our findings are suggestive of a complementary relationship between private and public regulations, in a sense that private regulations can compensate for the weaknesses of public regulations by offering faster, more flexible and cost-efficient means of enforcement, which allows the public authorities to economize on the deployment of public resources to monitor the rest non-compliant firms. (shrink)

The self-reference effect refers to better memory for self-relevant than for other-relevant information. Generally, the SRE is found in conditions in which links between the stimuli and the self are forged in the encoding phase. To investigate the possibility that such conditions are not prerequisites for the SRE, this research developed two conditions by using two recognition tasks involving abstract geometric shapes. One was the cue-in-encoding condition in which self- and other-cues were presented to construct links with AGSs during the (...) encoding phase, and the other was the cue-in-retrieval condition in which self- and other-cues were presented to construct links with AGSs during the retrieval phase. The SRE was found in both conditions. The findings reveal that self-cues merely presented during the retrieval phase are sufficient to induce the SRE. Links between the stimuli and the self constructed during the encoding phase may not be necessary prerequisites for the SRE. (shrink)

This paper looks at transgender identities and the law in the context of marriage in common law jurisdictions. It particularly focuses on the nature and sources of authority over word meaning as well as the role of language and definition in classifying transgender individuals into a legal category. When it comes to the legal question of who may marry whom, and what the terms “man” and “woman” actually refer to, there is no statutory definition of the terms “man”, “woman”, “male” (...) and “female”. This has put the onus on judges, especially those who needed to decide whether a transgender person can marry in his/her affirmed sex, to interpret these terms. Two lines of cases in transgender jurisprudence are examined so as to have a close study of how the courts construed these terms and classified transgender people into a category. The first concerns United Kingdom cases, namely Corbett v Corbett, Bellinger v Bellinger and the Hong Kong case W v Registrar of Marriages, &. The second consists of Australian cases such as Secretary, Department of Social Security v State Rail Authority and Re Kevin. This paper discusses these issues by analyzing and comparing different cases in transgender jurisprudence as well as examining how these issues play out in contemporary Hong Kong. (shrink)

Gender differences in science and engineering have been studied in various countries. Most of these studies find that women are underrepresented in the S&E workforce and publish less than their male peers. The factors that contribute to gender differences in experience and performance in S&E careers can vary from one country to another, yet they remain underexplored. This paper is among the first to systematically compare gender differences in the publication productivity of academic scientists and engineers with doctoral degrees in (...) the U.S. and China. Findings from negative binomial regressions show that women publish less than their male counterparts in science but not in engineering in the U.S. In China, women do not differ from men in publication productivity in science but publish more than their male counterparts in engineering. In addition, we find that some background variables affect men’s and women’s publication productivity differently. The findings are analyzed in the context of the different cultures of the two fields and of the two countries. Limitations and policy implications are also discussed. (shrink)

In this study, we examined the effects of parental phubbing on learning burnout in elementary and secondary school students and its mechanism of action. A questionnaire method was applied to investigate parental phubbing, parent–child attachment, ego depletion, and learning burnout among 2090 elementary and secondary school students in Anhui Province, China. The results are as follows: Parental phubbing was significantly correlated with parent–child attachment, ego depletion, and learning burnout; Parental phubbing has an indirect impact on learning burnout in elementary and (...) secondary school students through three pathways: a separate mediating effect on parent–child attachment, a separate mediating effect on ego depletion, and a chain mediating effect on both. Parental phubbing is a risk factor for Learning Burnout, which can positively affect Learning Burnout in elementary and secondary school students. The findings of the study contribute to revealing the influence mechanism of parental phubbing on learning burnout in elementary and secondary school students. (shrink)

It is widespread that the consumers browse relevant reviews for reference before purchasing the products when online shopping. Some stores or users may write deceptive reviews to mislead consumers into making risky purchase decisions. Existing methods of deceptive review detection did not consider the valid product review sets and classification probability of feature weights. In this research, we propose a deceptive review detection algorithm based on the target product identification and the calculation of the Metapath feature weight, noted as TM-DRD. (...) The review dataset of target product is modeled as a heterogeneous review information network with the feature nodes. The classification method of graph is used to detect the deceptive reviews, which can improve the efficiency and accuracy of deceptive review detection due to the sparsity, imbalance of deceptive reviews, and the absence of category probability of feature weight calculation. The TM-DRD algorithm we proposed is validated on the real review dataset Yelp and compared with the SpEagle, NFC, and NetSpam algorithm. The experiment results demonstrate that the TM-DRD algorithm performs better than the other method with regard to the accuracy and efficiency. (shrink)

By investigating the status quo of the swimming training market in a certain area, we can obtain information on the current development of the swimming training market in a certain area and study the laws of the development of the market so as to provide a theoretical basis for the development of the market. This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. The algorithm model uses a 3 × 3 size convolution kernel (...) to extract features, and the pooling layer uses a nonoverlapping pooling strategy. In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. However, there are significant differences in fat-free body weight and muscle strength of various segments of the body, among which there are very significant differences in muscle strength of lower limbs in each segment of the body. There were no significant differences in minerals, body mass index, basal metabolic rate, total energy expenditure, and lower limb muscle strength in the body composition ratios of men and women in the convolutional neural network assessment group. There are significant differences in body weight, upper limb muscle strength, and trunk muscle strength. There were no significant differences in the proportions of body composition between men and women in the control group, except for fat and protein. (shrink)

Multilevel item response theory models are used widely in educational and psychological research. This type of modeling has two or more levels, including an item response theory model as the measurement part and a linear-regression model as the structural part, the aim being to investigate the relation between explanatory variables and latent variables. However, the linear-regression structural model focuses on the relation between explanatory variables and latent variables, which is only from the perspective of the average tendency. When we need (...) to explore the relationship between variables at various locations along the response distribution, quantile regression is more appropriate. To this end, a quantile-regression-type structural model named as the quantile MLIRT model is introduced under the MLIRT framework. The parameters of the proposed model are estimated using the Gibbs sampling algorithm, and comparison with the original MLIRT model is conducted via a simulation study. The results show that the parameters of the Q-MLIRT model could be recovered well under different quantiles. Finally, a subset of data from PISA 2018 is analyzed to illustrate the application of the proposed model. (shrink)

This paper investigates a composite learning prescribed performance control scheme for uncertain strict-feedback system. Firstly, a prescribed performance boundary condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a transformation function. In order to ensure that the tracking error satisfies the PPB, a sufficient condition is given. Then, a control scheme of PPC combined with neural network and backstepping technique is proposed. However, the unknown functions cannot be guaranteed to estimate (...) accurately by this method. To solve this problem, predictive errors are defined by applying online recorded date and instantaneous date. Furthermore, novel composite learning laws are proposed to update NN weights based on a partial persistent excitation condition. Subsequently, the stability of the closed-loop system is guaranteed and all signals are kept bounded by using composite learning PPC method. Finally, simulation results verify the effectiveness of the proposed methods. (shrink)

With the idea of analyzing awareness as potential for knowledge, we propose a novel semantics for awareness logic. Expressivities of languages with different combinations of modalities for this semantics are investigated. We explore the properties of our semantics and compare our model with Fagin & Halpern model and the model by Heifetz et al. in partitional settings. A series of equivalence results are established from the comparison. Finally, we provide two axiomatizations for implicit knowledge and explicit knowledge, respectively, and prove (...) soundness and completeness for them. (shrink)

With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. Other (...) known issues include vocabulary sizes per class, data source, method of creation, and baseline for the human performance level. This paper focuses on the application of personalized mental health interventions using Natural Language Processing (NLP) and attention-based in-depth entropy active learning. The objective of this research is to increase the trainable instances using a semantic clustering mechanism. For this purpose, we propose a method based on synonym expansion by semantic vectors. Semantic vectors based on semantic information derived from the context in which it appears are clustered. The resulting similarity metrics help to select the subset of unlabeled text by using semantic information. The proposed method separates unlabeled text and includes it in the next active learning mechanism cycle. Our method updates model training by using the new training points. The cycle continues until it reaches an optimal solution, and it converts all the unlabeled text into the training set. Our in-depth experimental results show that the synonym expansion semantic vectors help enhance training accuracy while not harming the results. The bidirectional Long Short-Term Memory (LSTM) architecture with an attention mechanism achieved 0.85 Receiver Operating Characteristic (ROC curve) on the blind test set. The learned embedding is then used to visualize the activated word's contribution to each symptom and find the psychiatrist's qualitative agreement. Our method improves the detection rate of depression symptoms from online forum text using the unlabeled forum texts. (shrink)

As an unusual event, fasting can induce strong physiological and psychological reactions, but there is still no clear understanding of how previous fasting experiences affect people’s responses to current fasting. This study aimed to investigate the influence of previous fasting experiences on participants’ basic physiological and psychological responses in a fasting experiment conducted under intensive medical monitoring. For a 22-day experiment divided into four phases, a total of 13 persons participated; the participants were divided into a group with prior fasting (...) experience and a group without prior fasting experience. The results indicate no group differences in physiological responses ; however, differences in psychological states were observed, with the Newbie group showing more negative psychological states overall throughout the experiment. Hence, previous fasting experience may be a buffer against negative feelings during current fasting. For this reason, it is important to consider fasting experiences as a vital factor in future research. (shrink)

Learning burnout is an important indicator that reflects an individual’s learning state. Understanding the influencing factors and mechanism of learning burnout of medical students has practical significance for improving their mental health. This study aimed to explore the mediating roles of school identity and collective self-esteem between school psychological environment and learning burnout in medical students. A total of 2,031 medical students were surveyed using the School Psychological Environment Questionnaire, School Identity Questionnaire, Collective Self-esteem Scale, and Learning Burnout Scale. The (...) results showed the following: school psychological environment had a negative effect on learning burnout among medical students, and school identity and collective self-esteem played significant mediating roles between school psychological environment and learning burnout [95% CI = ]. Specifically, there were three paths that school psychological environment and learning burnout: first, through the independent mediating role of school identity; second, through the independent mediating role of collective self-esteem; and third, through the chain mediating roles of school identity and collective self-esteem. The findings reveal that school psychological environment not only directly influences the learning burnout of medical students but also indirectly influences it through school identity and collective self-esteem. Thus, this study has some important implications for prevention and intervention of learning burnout among medical students. (shrink)

Adopting fair value measurement may bring more earnings fluctuations and induce irrational psychology and radical financing behavior of managers. Based on behavioral corporate governance theory, using the sample of Chinese A-share nonfinancial listed companies during 2007–2017, this paper empirically examines the regulatory effect of fair value measurement, that is, whether fair value measurement affects the company's financing decisions when managers have irrational psychological characteristics, i.e., overconfidence. The study found that overconfident managers of the company that have fair value measurement assets (...) will be more aggressive for debt decisions, indicating that fair value measurement has a positively regulatory effect on overconfident managers. (shrink)

Tactile emotion recognition provides a lot of valuable information in human-computer interaction, and it has strong application prospects in many aspects such as smart home and medical treatment. So this situation raises a question: How to quickly and efficiently let the robot perform the correct emotion recognition? In this work, we develop a lifelong learning algorithm which is based on the efficient dictionary learning technology, to tackle the tactile emotion recognition across different tasks. To verify the efficiency of the proposed (...) method, we applied it to two data sets for experimentation: Corpus of Social Touch (CoST) and our dataset(We built it with a 12X12 array sensor). The results show that the proposed lifelong learning algorithm achieves satisfactory results. (shrink)

In his paper ‘The Problem of the Meaning of “Miracle” , Professor Michael J. Langford proffers a concept of miracles that derives its intelligibility from the familiar phenomenon of the interaction of minds. Miraculous occurrences are portrayed as a variant, though abnormal, form of what we may term ‘inter-psychosomatic influence’, God's mind being the ultimate determinant. Langford thinks that to speak significantly of miracles, the phenomenon should be understood as ‘not totally dissimilar to our previous experience’ ; hence the familiar (...) notion of inter-psychosomatic influence. He thinks, too, that to talk of miracles as God interfering directly with the natural order would be to admit that such interference would not upset our concept of human nature and responsibility, a consequence which, to Langford, would make it inconsistent for Christians to maintain the free-will defence in the face of the problem of evil. According to Langford, human interference with the natural order does not vitiate the preconditions of human responsibility, and so he thinks that his concept of miracle, which is only ‘an extension of the same phenomenon, of a kind that also does not disrupt either human freedom or the stable order that is the necessary context for human life’ , will provide a way out of the dilemma. Having agreed with Hume and Flew that it would be unreasonable ‘to explain an unusual event by introducing divine causation if we hadn't already got independent evidence for the divine’ , Langford nevertheless maintains that ‘unthought possibilities’ should not be ruled out in the manner of a ‘prejudiced theorist’ . He thinks that such possibilities are left open in his concept of miracle, which makes the prior assumption that ‘independent grounds for belief in God’ exist before affirming that, given that God exists, miracles may be consistently and substantively understood in terms of a special distinguishable sort of inter-psychosomatic influence. He concedes, of course that his concept would rule out ‘those miracles that appear to be quite apart from the working of grace through human minds’ . I think, however, that Langford's thesis is faulty at key places. (shrink)

In recent years, the green aviation technology draws more attention, and more hybrid power units have been applied to the aerial vehicles. To achieve the high performance and long lifetime of components during varied working conditions, the effective regulation of the energy management is necessary for the vehicles with hybrid power unit. In this paper, power prediction-based model predictive control for energy management strategy is proposed for the vehicle equipped with HPU based on turboshaft engine in order to maintain proper (...) battery’s state of charge and decrease turboshaft engine’s exhaust gas temperature. First, a modeling approach based on data-driven method is adopted to obtain the mathematical model of turboshaft engine considering time delay and inertial of states. An integrated power predictor consisting of the classification of input status and the subpredictors are developed based on the deep learning method to improve the accuracy of the prediction model of the model predictive control. Subsequently, an EMS based on MPC using the proposed power predictor is introduced to regulate the SOC of battery and the EGT of turboshaft engine. The comparison with experimental results shows the high accuracy of mathematical model of turboshaft engine. The simulation results show the effectiveness of the proposed EMS for the vehicle, and the effects of different weight coefficients of objective function on the proposed EMS are discussed. (shrink)

BackgroundThe Quality of Life in Life-threatening Illness-Family Carer Version has been proven to be a brief, reliable, and valid instrument for measuring the caregivers’ QOL in western cultures. However, whether it is suitable to be used in Chinese culture is unclear. This study aimed to test the reliability and validity of the Chinese version of.Materials and methodsA total of 202 family caregivers of advanced cancer patients from Fujian Provincial hospice care center were investigated using the Chinese version of QOLLTI-F-CV from (...) September 2019 to August 2020. The questionnaire was evaluated using an exploratory structural equation model. Its psychometric properties were examined in terms of factor structure, convergent validity, discriminant validity, internal consistency, and test–retest reliability.ResultsDifferently from the seven-domain original QOLLTI-F, its Chinese version had only three domains including caregiver’s self-feelings, caregiver’s stress, and caregiver’s outlooks. The total variance explanation rate for the domains was 55.4%. The Chinese version fitted well with the structure model ; its comparative fit index was 0.971; Tucker–Lewis index was 0.954; and the root mean square error of approximation was 0.072. The success rate of its convergent and discriminant validity calibration test was 100%. Its Cronbach’s alpha coefficient of the whole questionnaire and three domains was from 0.650 to 0.874, and test–retest reliability was 0.836.ConclusionThe 3-domain QOLLTI-F-CV is a valid and reliable instrument for identifying QOL concerns of FCs of advanced cancer patients in China. The refactoring structure optimally matches Chinese culture and value system well. (shrink)