Green consumption values have been shown to motivate consumers to engage in green consumption practices. However, surprisingly little research has examined how green consumption values develop in young people. In the current study, we employed ecological socialization theory as a framework to investigate the process by which parents’ green consumption values shape similar values in their young adolescents. In Study 1, data from 722 Chinese families that included an early adolescent showed that both mothers’ and fathers’ green consumption values were (...) positively associated with early adolescents’ green consumption values, and this association was mediated by each parent’s environmentally responsible consumption behavior. Study 2 replicated the results of Study 1 using two waves of matched parent-adolescent data collected a month apart from another group of 477 Chinese families. Furthermore, Study 2 showed that the mediation process identified in Study 1 was evident only when there was a close parent–child relationship. These findings have implications for cultivating the green consumption values of today’s youth. The results also have heuristic value for future research on the ecological socialization and inter-generational transmission of pro-environmental values. (shrink)

As a social issue of widespread concern, work-to-family conflict has been found to adversely affect employees’ work and family lives. The current research linked employees’ work-to-family conflict to disruptions in parenting and in turn to adolescents’ materialism. In Study 1, two-wave data from 207 Chinese dual-career families that included an adolescent in junior high school showed that both men’s and women’s work-to-family conflict was positively correlated with material rewards parenting, and this positive relationship was stronger when parenting daughters than sons. (...) Study 2 replicated the results of Study 1 in a sample of 284 Chinese dual-career families that included an adolescent of the same age group. Furthermore, Study 2 showed that employees’ work-to-family conflict was indirectly related to their adolescent offspring’s materialism through increased material rewards parenting, and this mediating effect was stronger for daughters. The results are discussed in terms of the spillover and crossover processes that affect employees and their families in the context of work-to-family conflict. (shrink)

As a social issue of widespread concern, work-to-family conflict has been found to adversely affect employees’ work and family lives. The current research linked employees’ work-to-family conflict to disruptions in parenting and in turn to adolescents’ materialism. In Study 1, two-wave data from 207 Chinese dual-career families that included an adolescent in junior high school showed that both men’s and women’s work-to-family conflict was positively correlated with material rewards parenting, and this positive relationship was stronger when parenting daughters than sons. (...) Study 2 replicated the results of Study 1 in a sample of 284 Chinese dual-career families that included an adolescent of the same age group. Furthermore, Study 2 showed that employees’ work-to-family conflict was indirectly related to their adolescent offspring’s materialism through increased material rewards parenting, and this mediating effect was stronger for daughters. The results are discussed in terms of the spillover and crossover processes that affect employees and their families in the context of work-to-family conflict. (shrink)

v. 1. Sheng ji tu -- v. 2. Mengzi sheng ji tu.

The volatility of Shanghai crude oil futures prices is researched in this paper. The cusp catastrophe analysis of Shanghai crude oil futures price is based on the perspective of volatility influencing factors. Some important factors are selected based on commodity attributes and financial attributes, including certain China’s macrofactors, such as producer price index and macroeconomic prosperity index. The principal component analysis is used to process the factors. The control variables of the cusp catastrophe model are extracted. The discriminant of the (...) cusp catastrophe model and the principal component analysis are combined to determine the month of mutation. The three-dimensional renderings and plane projections of Shanghai crude oil futures price mutations in 2018 and 2019 are presented. The model is tested by comparing the time points of price sudden change nodes and emergencies. The results show that only nine factors can be used to roughly determine whether the Shanghai crude oil futures price has a sudden change. During the analysis period, the mutation months are May 2018, December 2018, February 2019, June 2019, and September 2019. It can be proved that the established model has certain feasibility and accuracy. (shrink)

Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (shrink)

Background: The three-dimensional model of nurses’ moral sensitivity has typically been studied using a variable-centered rather than a person-centered approach, preventing a more complete understanding of how these forms of moral sensitivity are expressed as a whole. Latent profile analysis is a person-centered approach that classifies individuals from a heterogeneous population into homogeneous subgroups, helping identify how different subpopulations of nurses use distinct combinations of different moral sensitivities to affect their service behaviors. Objective: Latent profile analysis was used to identify (...) three distinct profiles of nurses’ moral sensitivity. Associations of the profiles with service behaviors were then examined. Methods: Five hundred twenty-five nurses from three tertiary hospitals in China were investigated with Moral Sensitivity Questionnaire and Nurses’ Service Behavior Scale. Latent profile analysis was used to analyze the data. Ethical considerations: Approval was obtained from the Ethics committee for biomedical research of Medical College, the Hebei University of Engineering. Results: A three-profile moral sensitivity model provided the best fit to the data. The resulting profiles were low moral sensitivity, moderate moral sensitivity, and high moral sensitivity. There were significant differences in service behaviors among different profiles of moral sensitivity. Conclusion: The results provide a new and expanded view of nurses’ moral sensitivity, which may be used to monitor nurses’ service behaviors comprehensively and to evaluate nursing ethics management strategies. (shrink)

Background: Nurses’ service behaviors have critical implications for hospitals. However, few studies had adequate ethical considerations of service behaviors and accounted for how organizational or individual antecedents can induce nurses to engage in service behaviors. In addition, they mainly focused on the one side of role-prescribed or extra-role service behavior. Objective: This study aims to explore the chained mediation effect of ethical climate and moral sensitivity on the relationship between organizational ethical leadership and nurses’ service behaviors and to examine the (...) relationship, from a comparative view, of the role-prescribed service behavior and extra-role service behavior. Methods: In all, 476 nurses from three tertiary hospitals were investigated with the Ethical Leadership Scale, Ethical Climate Scale, Moral Sensitivity Questionnaire and Service Behavior Questionnaire. Structural equation modeling was adopted to analyze the data. SPSS and Mplus statistical software was used in the data analysis. Ethical considerations: Approval was obtained from the Ethics Committee at School of Nursing, Hebei Medical University. Data privacy and confidentiality were maintained and assured by obtaining subjects’ informed consent to participate in the research before data collection. Results: The effects of ethical leadership on nurses’ service behaviors are mediated by two variables in turn: ethical climate and nurses’ moral sensitivity. Ethical climate and moral sensitivity partially mediated the relationship between ethical leadership and nurses’ role-prescribed service behavior and fully mediated the relationship between ethical leadership and nurses’ extra-role service behavior. Conclusion: Organizational ethical leadership positively affected ethical climate, which positively affected nurses’ moral sensitivity and affected both their role-prescribed service behavior and extra-role service behavior. (shrink)

Objective: Tangent Space Mapping using the geometric structure of the covariance matrices is an effective method to recognize multiclass motor imagery. Compared with the traditional CSP method, the Riemann geometric method based on TSM takes into account the nonlinear information contained in the covariance matrix, and can extract more abundant and effective features. Moreover, the method is an unsupervised operation, which can reduce the time of feature extraction. However, EEG features induced by MI mental activities of different subjects are not (...) the same, so selection of subject-specific discriminative EEG frequency components play a vital role in the recognition of multiclass MI. In order to solve the problem, a discriminative and multi-scale filter bank tangent space mapping algorithm is proposed in this article to design the subject-specific Filter Bank so as to effectively recognize multiclass MI tasks. Methods: On the 4-class BCI competition IV-2a dataset, first, a non-parametric method of multivariate analysis of variance based on the sum of squared distances is used to select discriminative frequency bands for a subject; next, a multi-scale FB is generated according to the range of these frequency bands, and then decompose multi-channel EEG of the subject into multiple sub-bands combined with several time windows. Then TSM algorithm is used to estimate Riemannian tangent space features in each sub-band and finally a liner Support Vector Machines is used for classification. Main Results: The analysis results show that the proposed discriminative FB enhances the multi-scale TSM algorithm, improves the classification accuracy and reduces the execution time during training and testing. On the 4-class BCI competition IV-2a dataset, the average session to session classification accuracy of nine subjects reached 77.33 ± 12.3%. When the training time and the test time are similar, the average classification accuracy is 2.56% higher than the latest TSM method based on multi-scale filter bank analysis technology. When the classification accuracy is similar, the training speed is increased by more than three times, and the test speed is increased two times more. Compared with Supervised Fisher Geodesic Minimum Distance to the Mean, another new variant based on Riemann geometry classifier, the average accuracy is 3.36% higher, we also compared with the latest Deep Learning method, and the average accuracy of 10-fold cross validation improved by 2.58%. Conclusion: Research shows that the proposed DMFBTSM algorithm can improve the classification accuracy of MI tasks. Significance: Compared with the MFBTSM algorithm, the algorithm proposed in this article is expected to select frequency bands with good separability for specific subject to improve the classification accuracy of multiclass MI tasks and reduce the feature dimension to reduce training time and testing time. (shrink)

ObjectivesSeveral studies have examined the effects of repetitive transcranial magnetic stimulation (rTMS) on associative memory (AM) but findings were inconsistent. Here, we aimed to test whether twice-daily rTMS could significantly improve AM.MethodsIn this single-blind, sham-controlled experiment, 40 participants were randomized to receive twice-daily sham or real rTMS sessions for five consecutive days (a total of 16,000 pulses). The stimulation target in left inferior parietal lobule (IPL) exhibiting peak functional connectivity to the left hippocampus was individually defined for each participant. Participants (...) completed both a picture-cued word association task and Stroop test at baseline and 1 day after the final real or sham rTMS session. Effects of twice-daily rTMS on AM and Stroop test performance were compared using two-way repeated measures analysis of variance with main factors Group (real vs. sham) and Time (baseline vs. post-rTMS).ResultsThere was a significant Group × Time interaction effect. AM score was significantly enhanced in the twice-daily real group after rTMS, but this difference could not survive the post hoc analysis after multiple comparison correction. Further, AM improvement in the twice-daily real group was not superior to a previously reported once-daily rTMS group receiving 8,000 pulses. Then, we combined the twice- and once-daily real groups, and found a significant Group × Time interaction effect. Post hoc analysis indicated that the AM score was significantly enhanced in the real group after multiple comparisons correction.ConclusionOur prospective experiment did not show significant rTMS effect on AM, but this effect may become significant if more participants could be recruited as revealed by our retrospective analysis. (shrink)

With the accelerating aging of the population and the worsening psychological conditions of older people, the traditional mode of family support for the elderly in China does not always meet the physical and psychological needs of the elderly, and more social support modes for the elderly are needed. Based on 3,513 valid questionnaires on the long-term care and protection needs of Chinese residents, this paper uses a logit regression model to analyze the factors influencing the willingness of the elderly to (...) choose nursing care. The results show that intergenerational family support for the elderly is a significant psychological driver on the willingness of the elderly to choose nursing care. Compared with the elderly living with family, empty nesters or older people living alone are more inclined to select nursing care when they have difficulties taking care of themselves. The physical health of the elderly affects their willingness to choose nursing care, and elderly individuals with more hospitalizations are less likely to select nursing care. In addition, elderly females who are relatively young, have a high level of education, have a high income, have a nursing home near the residence, and are already covered by medical insurance are more willing to choose nursing care. The results of this study are of great importance for improving the medical services and aging care services for the elderly and providing theoretical support for alleviating the psychological and social pressure brought by population aging. (shrink)

Prior studies on stakeholders’ responses to firms with high prior corporate social responsibility (CSR) engaging in corporate social irresponsibility (CSIR) show inconsistent results. To explore this inconsistency, we focus on the intentionality of CSIR and draw upon cognitive dissonance theory to examine how transgressional CSIR and accidental CSIR differently influence investors’ responses to firms with high prior CSR through both emotional (e.g., anger) and cognitive (e.g., moral judgment) processes. An experimental study using a facial expression analysis technology— FaceReader 5.0 (Study (...) 1) and a scenario experiment (Study 2), reveal that high prior CSR is a double-edged sword. Specifically, high prior CSR elicits an aggravating effect on investor responses (more anger, more negative moral judgment, and more negative effects on investment) in light of transgressional CSIR, but it has a buffering effect on investor responses (less anger, less negative moral judgment, and less negative effects on investment) in light of accidental CSIR. Moreover, we find that when prior CSR and CSIR are in the same (vs. different) domain, the aggravating effect of transgressional CSIR is strengthened, but the buffering effect of accidental CSIR is weakened. Our findings provide important theoretical and practical insights into the effect of prior CSR on investor responses in cases of different CSIR. (shrink)

Entrepreneurship plays a significant role in promoting the social and economic development of a country. At present, entrepreneurship education is widely carried out in universities and colleges in order to improve students’ entrepreneurial ability, and then to provide support for the formation of a comprehensive entrepreneurial situation. As entrepreneurship education has gradually become a hot topic of teaching for innovation and entrepreneurship education of international students, studies on the influencing mechanism of entrepreneurship education of international students in relation to their (...) entrepreneurial behavior are conducive to providing theoretical basis and empirical evidence for international students’ entrepreneurship education, so as to pertinently guide international students’ innovation and entrepreneurship practice. This study aims to explore the influence of entrepreneurship education, government support for entrepreneurship, global competence, entrepreneurial self-efficacy, and entrepreneurial intention on the entrepreneurial behavior of international students in the Republic of Korea. It summarized and drew on the results of the existing literature research. According to the contents and points of research, this study takes the international students studying in Korea as the sample and uses statistical analysis software, SPSS 22.0 and AMOS 24.0, to establish a structural equation model to conduct empirical study on the influencing mechanism of entrepreneurial behavior of international students in Korea, so as to better understand the influence of entrepreneurship education in Korean universities and colleges on entrepreneurial behavior of international students in Korea. Based on the analysis results, this study puts forward the theoretical basis for the policies related to effective management of entrepreneurship, which will help alleviate the unemployment of young people studying in Korea and the tight labor market supply and demand. (shrink)

The identification and analysis of the spatiotemporal dynamic traffic patterns in citywide road networks constitute a crucial process for complex traffic management and control. However, city-scale and synchronal traffic data pose challenges for such kind of quantification, especially during peak hours. Traditional studies rely on data from road-based detectors or multiple communication systems, which are limited in not only access but also coverage. To avoid these limitations, we introduce real-time, traffic condition digital maps as our input. The digital maps keep (...) spatiotemporal urban traffic information in nature and are open to access. Their pixel colors represent traffic conditions on corresponding road segments. We propose a stacked convolutional autoencoder-based method to extract a low-dimension feature vector for each input. We compute and analyze the distances between vectors. The statistical results show different traffic patterns during given periods. With the actual data of Chongqing city, we compare the feature extraction performance between our proposed method and histogram. The result shows our proposed method can extract spatiotemporal features better. For the same data set, there is little difference in the number distribution of red pixels found in the statistics result of the histogram, while differences do exist in the results of our proposed method. We find the most fluctuated morning is on Friday; the most fluctuated evening is on Tuesday; and the most stable evening is on Wednesday. The distance captured by our method can represent the evolution of different traffic conditions during the morning and evening peak hours. Our proposed method provides managers with assistance to sense the dynamics of citywide traffic conditions in quantity. (shrink)

Speech sounds are an essential vehicle of information exchange and meaning expression in approximately 7,000 spoken languages in the world. What functional constraints and evolutionary mechanisms lie behind linguistic diversity of sound systems is under ongoing debate; in particular, it remains conflicting whether there exists any universal relationship between these constraints despite of diverse sounds systems cross-linguistically. Here, we conducted cross-linguistic typological and phylogenetic analyses to address the characteristics of constraints on linguistic diversity of vowel systems. First, the typological analysis (...) revealed a power-law based dependence between the global structural dispersion and the local focalization of vowel systems and validated that such dependence was independent of geographic region, language family, and linguistic affiliation. Second, the phylogenetic analysis further illustrated that the observed dependence resulted from correlated evolutions of these two structural properties, which proceeded in an adaptive process. These results provide empirical evidence that self-organization mechanisms helped shape vowel systems and common functional constraints took effect on the evolution of vowel systems in the world’s languages. (shrink)

The developmental trajectory of speechreading skills is poorly understood, and existing research has revealed rather inconsistent results. In this study, 209 Chinese students with hearing impairment between 7 and 20 years old were asked to complete the Chinese Speechreading Test targeting three linguistics levels. Both response time and accuracy data were collected and analyzed. Results revealed no developmental change in speechreading accuracy between ages 7 and 14 after which the accuracy rate either stagnates or drops; no significant developmental pattern in (...) speed of speechreading across all ages. Results also showed that across all age groups, speechreading accuracy was higher for phrases than words and sentences, and overall levels of speechreading speed fell for phrases, words, and sentences. These findings suggest that the development of speechreading in Chinese is not a continuous, linear process. (shrink)

Executive functions are of vital importance in the process of active cognition, which is thought to be associated with the dorsolateral prefrontal cortex. As a valid brain stimulation technology, high-definition transcranial direct current stimulation has been used to optimize cognitive function in healthy adults. Substantial evidence indicates that short-term or single anodal tDCS sessions over the left DLPFC will enhance the performance of executive functions. However, the changes in performance and cortical activation of executive functions after modulation by repeated anodal (...) HD-tDCS is as yet unexplored. This study aims to examine changes in three core components of executive functions produced by nine HD-tDCS sessions, and to use functional near-infrared spectroscopy to bilaterally record DLPFC neural activity. A total of 43 participants were divided randomly into two study groups to complete nine interventions. Our results demonstrate that the enhancement of cognitive flexibility in the anodal group was significantly better than that in the sham group. Additionally, a Stroop effect-related decrease in oxygenated hemoglobin concentration in the DLPFC was observed in the anodal group but not the sham group. In conclusion, our study found that repeated anodal HD-tDCS sessions can significantly promote cognitive flexibility, one of the core components of executive function, and that alterations in DLPFC activation can enhance our understanding of the neuroplastic modifications modulated by HD-tDCS. (shrink)

Alexithymia and emotion regulation are closely related to internet addiction. However, no research has examined how the different components of alexithymia are associated with cognitive emotion regulation in the context of multi-strategy use in internet addiction. The current study aimed to investigate the relation between alexithymia and cognitive emotion regulation in individuals with internet addiction via network analysis. Participants included 560 students with Young’s Internet Addiction Test scores greater than 50 points; they were also asked to complete the Toronto Alexithymia (...) Scale and the Cognitive Emotion Regulation Questionnaire. The results revealed two bridge nodes emerging within the combined alexithymia and cognitive emotion regulation network model: “catastrophizing” and “externally oriented thoughts.” These findings indicate a more specific relation between alexithymia and cognitive emotion regulation and provide empirical evidence for targeted prevention and targeted interventions for internet addiction. (shrink)

ObjectiveTwo subregions of the dorsolateral prefrontal cortex have been identified as effective repetitive transcranial magnetic stimulation targets for the “anxiosomatic” and “dysphoric” symptoms, respectively. We aimed to develop a convenient approach to locate these targets on the scalp.Materials and methodsIn a discovery experiment, the two personalized targets were precisely identified on 24 subjects using a neuronavigation system. Then, a localized approach was developed based on individual scalp landmarks. This “landmark-based approach” was replicated and validated in an independent cohort. Reliability of (...) the approach was tested by calculating the correlation of both the inter-rater and intra-rater results. Validity was tested by comparing the mean distance between the personalized and landmark-based targets to the TMS spatial resolution. We further conducted a total of 24 sham rTMS sessions to estimate the misplacement between the coil center and target during a 10-min stimulation without neuronavigation.ResultsThe parameters of the “landmark-based approach” in the discovery experiment were replicated well in an independent cohort. Using discovery parameters, we successfully identified the symptom-specific targets in the independent cohort. Specifically, the mean distance between the personalized and landmark-based targets on the cortex was not significantly larger than 5 mm. However, the personalized and landmark-based targets distance exceeded 5 mm in more than 50% of subjects. During the 10-min sham rTMS session, the average coil misplacement was significantly larger than 5 mm.ConclusionThe “landmark-based approach” can conveniently and reliably locate the two symptom-specific targets at group level. However, the accuracy was highly varied at individual level and further improvement is needed. (shrink)

Alcohol use disorder is one of the most common substance use disorders contributing to both behavioral and cognitive impairments in patients with AUD. Recent neuroimaging studies point out that AUD is a typical disorder featured by altered functional connectivity. However, the details about how voxel-wise functional coordination remain unknown. Here, we adopted a newly proposed method named functional connectivity density to depict altered voxel-wise functional coordination in AUD. The novel functional imaging technique, FCD, provides a comprehensive analytical method for brain's (...) “scale-free” networks. We applied resting-state functional MRI toward subjects to obtain their FCD, including global FCD, local FCD, and long-range FCD. Sixty-one patients with AUD and 29 healthy controls were recruited, and patients with AUD were further divided into alcohol-related cognitive impairment group and non-cognitive impairment group. All subjects were asked to stay stationary during the scan in order to calculate the resting-state gFCD, lFCD, and lrFCD values, and further investigate the abnormal connectivity alterations among AUD-NCI, ARCI, and HC. Compared to HC, both AUD groups exhibited significantly altered gFCD in the left inferior occipital lobe, left calcarine, altered lFCD in right lingual, and altered lrFCD in ventromedial frontal gyrus. It is notable that gFCD of the ARCI group was found to be significantly deviated from AUD-NCI and HC in left medial frontal gyrus, which changes probably contributed by the impairment in cognition. In addition, no significant differences in gFCD were found between ARCI and HC in left parahippocampal, while ARCI and HC were profoundly deviated from AUD-NCI, possibly reflecting a compensation of cognition impairment. Further analysis showed that within patients with AUD, gFCD values in left medial frontal gyrus are negatively correlated with MMSE scores, while lFCD values in left inferior occipital lobe are positively related to ADS scores. In conclusion, patients with AUD exhibited significantly altered functional connectivity patterns mainly in several left hemisphere brain regions, while patients with AUD with or without cognitive impairment also demonstrated intergroup FCD differences which correlated with symptom severity, and patients with AUD cognitive impairment would suffer less severe alcohol dependence. This difference in symptom severity probably served as a compensation for cognitive impairment, suggesting a difference in pathological pathways. These findings assisted future AUD studies by providing insight into possible pathological mechanisms. (shrink)

We investigated whether adults have attentional bias toward infant faces, whether it is moderated by infant facial expression, and the predictive effect of the adult attachment state on it. One hundred unmarried nulliparous college students [50 men and 50 women; aged 17–24 years ] were recruited. Each completed a self-report questionnaire—the Chinese version of the State Adult Attachment Measure, and a dot-probe task with a stimulus presentation duration of 500 ms, which used 192 black-and-white photographs of 64 people as the (...) experimental stimuli. The results showed that, at the duration of 500 ms, individuals' attentional bias toward infant faces disappeared, regardless of the facial expression. However, when the interaction between avoidant attachment state and face was controlled, the attentional bias was significant again, and the avoidant attachment state negatively predicted individuals' attentional bias toward infant faces. This indicates that at the suprathreshold stage, there are individual differences in the attentional bias toward infant faces, and high avoidant attachment will weaken individuals' attentional bias toward infant faces. This study advances previous studies that focused only on individuals' attention to infant faces occurring at the early processing stage of attention. The results provide direction for interventions; specifically, changing the attachment state of avoidant individuals can affect their attention to infants, which may promote the establishment of parent–child relationships. (shrink)

The two-dimensional coupled map lattice model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent, synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on (...) the 2D CML model and Singular Value Decomposition. In our scheme, the SVD method is used to reduce the image storage, and the Red, Green, and Blue channels of a color image will be encrypted through confusion and diffusion. The simulation results, as well as the results of the comparison with other schemes, demonstrate that our scheme possesses outstanding statistics, excellent encryption performance, and high security. It has great potential for ensuring the security of digital images in real applications. (shrink)

李覯是北宋著名的思想家、教育家、文學家。年輕時，他以康國濟民為意，精心撰寫文章，希望引起朝廷主政者的注意。因科場不利，自三十五歲便退居家鄉，專事寫作和教育，成為當時江南著名學者。李覯是宋代儒家功利學派 的代表，主張義利統一、義利並行，也是李覯重建了儒家功利主義傳統。 作者對李覯政治思想的考察，除了以宋代社會政治危機與變革為背景，也以宋學興起為背景。不僅仔細檢視了李覯對前人思想資源的利用，也突出了他在構建起理論體系的過程中所實現的學術方法變革。 全書共分為七個大章節，首章談作者的研究方法與前人對李覯之研究，以大陸學者和臺灣學者為例子；第二章談李覯的生平、思想及著作，對李覯有更進一步的認識，並還原了宋代的科舉制度；第三章談李覯政治思想的時代背景 ，分析宋代重文輕武的利弊與當時朝廷面臨的危機；第四章談《周易》、《周禮》等古籍對李覯思想的影響，以及李覯對孟子、荀子主張的批判與繼承；第五章談李覯的政治思想特點，講述其理想的社會模式、捍衛儒學的立場、 反對過度迷信佛法的主張；第六章談李覯政治思想的影響、儒家功利主義發展，以王安石變法評述李覯的政制主張；第七章談李覯思想的現代價值，呼籲當代人應遵循「義利統一」、「義利並行」的原則，同步進行社會的公平正 義和經濟發展。.