Having enjoyed remarkable economic success, China’s natural environment is being increasingly degraded, and with it, the quality of life. Researchers and environmentalists have responded by...

Under the framework of smart city, starting from the demand for urban public tourism information services, drawing on the new public service theory, customer perceived value theory, and basic information service theory, combined with previous research results, using literature analysis, questionnaire survey, and other methods, and starting from the carrier level of the public tourism information service system, this study analyzed the public tourism information services in detail. This study combed the current status quo and problems of the public tourism (...) information service system for qualitative analysis and summed up some common shortcomings and deficiencies. Along with the results of the questionnaire, this paper analyzed the existing problems in the current public tourism information service system and identified the demands of tourists for public tourism information services. Based on this, the research puts forward the idea of constructing the public tourism information service system under the background of smart city, including the system framework, characteristics, service media and mode, operation mode, management mechanism, and other aspects. The study concluded that there is a need to construct theoretical and research models of the impact of public tourism services on the quality of destination from the perspective of smart city, to use the structural equation model for quantitative analysis, to verify the model hypothesis, and to consider that public tourism services have a significant positive impact on the behavioral and psychological responses of tourists. On the basis of combing the literature and starting from the overall situation, this study puts forward a systematic integration idea, which is of theoretical significance. (shrink)

This paper presents the concept and algorithm of data mining and focuses on the linear regression algorithm. Based on the multiple linear regression algorithm, many factors affecting CET4 are analyzed. Ideas based on data mining, collecting history data and appropriate to transform, using statistical analysis techniques to the many factors influencing the CET-4 test were analyzed, and we have obtained the CET-4 test result and its influencing factors. It was found that the linear regression relationship between the degrees of fit (...) was relatively high. We further improve the algorithm and establish a partition-weighted K-nearest neighbor algorithm. The K-weighted K nearest neighbor algorithm and the partition algorithm are used in the CET-4 test score classification prediction, and the statistical method is used to study the relevant factors that affect the CET-4 test score, and screen classification is performed to predict when the comparison verification will pass. The weight K of the input feature and the adjacent feature are weighted, although the allocation algorithm of the adjacent classification effect has not been significantly improved, but the stability classification is better than K-nearest neighbor algorithm, its classification efficiency is greatly improved, classification time is greatly reduced, and classification efficiency is increased by 119%. In order to detect potential risk graduating students earlier, this paper proposes an appropriate and timely early warning and preschool K-nearest neighbor algorithm classification model. Taking test scores or make-up exams and re-learning as input features, the classification model can effectively predict ordinary students who have not graduated. (shrink)

Despite the dramatic traumas and enormous physical losses associated with many catastrophes, it is undeniable that catastrophes also function as dynamic powers that drive the development and transf...

This paper examined the relationship between coaches and youth athletes in China by comparing data collected before and after the lockdown. A total of 221 youth athletes aged 13-19 years in one professional football school completed coach-athlete relationship questionnaires. The rank-sum test was used to verify the differences in the data. The results of the Mann-Whitney U test showed that the mean value of the three dimensions of the coach-athlete relationship (closeness, commitment, and complementarity) increased after the COVID-19 lockdown. The (...) results also showed that athletes of different age categories showed different changes in the coach-athlete relationship after the lockdown, and the changes were not significantly related to the severity of the COVID-19 epidemic. The theoretical and practical implications are discussed. (shrink)

Providing ethically competent care requires nurses to reflect not only on nursing ethics, but also on their own ethical traditions. New challenges for nurse educators over the last decade have been the increasing globalization of the nursing workforce and the internationalization of nursing education. In New Zealand, there has been a large increase in numbers of Chinese students, both international and immigrant, already acculturated with ethical and cultural values derived from Chinese Confucian moral traditions. Recently, several incidents involving Chinese nursing (...) students in morally conflicting situations have led to one nursing faculty reflecting upon how moral philosophy is taught to non-European students and the support given to Chinese students in integrating the taught curriculum into real-life clinical practice settings. This article uses a case study involving a Chinese student to reflect on the challenges for both faculty members and students when encountering situations that present ethical dilemmas. (shrink)

Collected works of Shes-rab-rgya-mtsho, 1884-1968 on Gelukpa doctrines etc.

ABSTRACT We show that there is a polynomial over the rational number field corresponding to each propositional formula in a given many-valued logic. To decide whether a propositional formula can be deduced from a finite set of such formulas (deduction problem), we only need to decide whether a polynomial vanishes on an algebraic variety. By using Wu's method, an algorithm for this problem is presented.

This paper proposes a nonlinear autoregressive neural network method for the investment performance evaluation of state-owned enterprises. It is different from the traditional method based on machine learning, such as linear regression, structural equation, clustering, and principal component analysis; this paper uses a regression prediction method to analyze investment efficiency. In this paper, we firstly analyze the relationship between diversified ownership reform, corporate debt leverage, and the investment efficiency of state-owned enterprises. Secondly, a set of investment efficiency evaluation index system (...) for SOE was constructed, and a nonlinear autoregressive neural network approach was used for verification. The data of A-share state-owned listed companies in Shanghai and Shenzhen stock exchanges from 2009 to 2018 are taken as a sample. The experimental results show that the output value from the NARNET is highly fitted to the actual data. Based on the neural network model regression analysis, this paper conducts a descriptive statistical analysis of the main variables and control variables of the evaluation indicators. It verifies the direct impact of diversified ownership reform on the investment efficiency of SOE and the indirect impact on the investment efficiency of SOE through corporate debt leverage. (shrink)

Based on the challenge-hindrance stressor model, this study explored the mechanism of how challenge/hindrance demands affect cognitive wellbeing on a daily basis. Specifically, we examined the mediating effect of work–family enrichment on the relationship between challenge/hindrance demands and cognitive wellbeing. In addition, we tested the moderating effect of overqualification on the relationship between challenge/hindrance demands and work–family enrichment on a daily basis. Finally, we examined the moderated mediation effect of perceived overqualification in a multilevel model. To capture changes in work–family (...) enrichment and cognitive wellbeing that individuals perceived daily, the experience sampling method was adopted to test our theoretical models. A total of 99 participants from China were involved in this investigation. The results showed that daily challenge demands had a significant positive effect on daily cognitive wellbeing, and daily hindrance demands had a significant negative effect on wellbeing. In addition, daily work–family enrichment mediated the positive relationship between daily challenge demands and daily cognitive wellbeing. Moreover, perceived overqualification moderated the relationship between daily challenge demands and daily cognitive wellbeing in the multilevel model. Finally, a significant moderated mediating effect of this overqualification on the indirect effect of daily work–family enrichment on the relationship between daily challenge demands and daily cognitive wellbeing was observed. (shrink)

Collected works of Sman-ri-ba Mnyam-med Shes-rabs-rgyal-mtshan, Bonpo scholar on Bon doctrines, reverential prayers, sadhanas and tantric texts.

With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. However, because multitasking contains the interference problem faced by the translated text, there is a big gap between recognition performance and actual application requirements. Aiming at multitasking and translation text detection, this paper proposes a text localization method based on multichannel multiscale detection (...) of the largest stable extreme value region and cascade filtering. This paper selects the appropriate color channel and scale to extract the maximum stable extreme value area as the character candidate area and designs a cascaded filter from coarse to fine to remove false detections. The coarse filter is based on some simple morphological features and stroke width features, and the fine filter is trained by a two-recognition convolutional neural network. The remaining character candidate regions are merged into horizontal or multidirectional character strings through the graph model. The experimental results on the text data set prove the effectiveness of the improved deep learning network character model and the feasibility of the textual implication translation analysis method based on this model. Among them, the text contains translation character recognition results prove that the model has good description ability. The characteristics of the model determine that this method is not sensitive to the scale of the sliding window, so it performs better than the existing typical methods in retrieval tasks. (shrink)

Does context influence our appreciation of beauty? To answer this question, two experiments were conducted to determine the effect of contextual aesthetics on the recognition of moral behavior. Experiment 1 demonstrated that individuals in a high-aesthetic context had a quicker recognition time for moral behavior than those in a low-aesthetic context. In a low-aesthetic context, individuals recognize immoral behavior more quickly than in a high aesthetic context. Individuals showed greater recognition rates for moral behavior in a high aesthetic context and (...) higher recognition for immoral behaviors in a low aesthetic context for behavior with unclear information. Experiment 2 revealed that individual fixation counts were smaller under the conditions of high aesthetic context and moral behavior than under the conditions of low aesthetic context and moral behavior, indicating a correlation between low aesthetic context and immoral behavior. This study shows that high aesthetic context facilitates the recognition of moral behavior, which has implications for moral education. (shrink)

Collected works of Dge-lugs-pa scholar predominantly on doctrines, commentary on Vasubandhu's Abhidharmakośa, study on Abhisamayālaṅkāra of Pañcaviṃśatisāhasrikā Prajñāparāmitā, Buddhist logic, philosophy, rituals, etc.

Cyberloafing, a new type of deviant workplace behavior, has become widespread across organizations. Although there has been an increasing amount of research on cyberloafing, it is unclear whether its influence on employee task performance is linearly positive or negative. To reconcile such an inconsistency, we developed and tested a model, grounded in the effort-recovery model, considering a potential curvilinear relationship between cyberloafing and task performance while also examining the mediating role of relaxation. We further reasoned that this indirect curvilinear effect (...) is contingent on employees’ time management skill. To test our theoretical model, we conducted two studies. In Study 1, multi-time data collected from 243 Master of Public Administration (MPA) students showed that cyberloafing had an inverted U-shaped (curvilinear) relationship with task performance, and relaxation mediated this relationship. In Study 2, using a sample of 392 public sector employees, we replicated the results of Study 1 and found that time management skill moderated the curvilinear effect of relaxation on task performance, as well as the indirect curvilinear effect of cyberloafing on task performance via relaxation. Theoretical contributions and managerial implications are further discussed. (shrink)

PurposeDrawing upon the stimulus-organism-response model, this paper aims to investigate the effects of stores’ environmental components on Chinese consumers’ emotions and intentions to purchase luxury brands.Design/Methodology/ApproachData were collected from Chinese consumers who have purchased luxury brands from retail stores. Partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis were employed for data analysis.FindingsThe results of PLS-SEM indicated that three dimensions of the store environment directly and significantly influenced Chinese consumers’ emotions. However, fsQCA revealed greater heterogeneity among respondents by highlighting (...) stores’ environmental components and Chinese consumers’ emotions.Originality/ValueThis study makes significant contributions to the marketing literature by examining the S-O-R model alongside fsQCA approach to conditionally predict outcomes in a luxury brand context. The present study may be one of the first to examine the effects of stores’ environmental components on Chinese consumers’ emotions and purchase intentions, applying both symmetrical test and asymmetrical test approaches to determine significant components of the store environment as well as component combinations that predict Chinese consumers’ emotions and purchase intentions. (shrink)

Shiqin She | : Le tragique hölderlinien mérite une attention spéciale, car chez Hölderlin la tragédie de nature dialectique se présente comme une allégorie de l’impossibilité de la spéculation. Le poète philosophe tentait, à partir de 1798, d’écrire une tragédie moderne, La mort d’Empédocle. Pour maintes raisons, il n’a pas pu mener l’imitation des Grecs jusqu’au bout ; il lui semblait qu’une tragédie moderne fût impossible. Pour lui, cet échec dramaturgique a une signification antimétaphysique. Dans ce travail, nous procéderons, à (...) partir des trois définitions de la tragédie qu’il propose à compter de 1798, à l’analyse de l’impact que son échec dramaturgique a eu sur sa compréhension de l’essence du tragique, puis sur sa critique de la raison spéculative. | : Hölderlin’s conception of the tragic deserves special attention, since for Hölderlin tragedy of a dialectical nature presents itself as an allegory of the impossibility of speculation. The poet philosopher was trying, from 1798 onwards, to write a modern tragedy, The Death of Empedocles. For a number of reasons, he found himself unable to succeed to the end in his imitation of the Greeks ; it seemed to him that a modern tragedy proved impossible. For him, that dramaturgic failure had an anti-metaphysical significance. In this paper, we will proceed, starting with the three definitions of tragedy which he provides from 1798 onwards, to the analysis of the impact his dramaturgic failure had on his comprehension of the essence of the tragic, and then on his critique of speculative reason. (shrink)

The COVID-19 is creating panic among people around the world and is causing a huge public mental health crisis. Large numbers of observational studies focused on the prevalence of psychological problems during the COVID-19 pandemic were published. It is essential to conduct a meta-analysis of the prevalence of different psychological statuses to insight the psychological reactions of general population during the COVID-19 epidemic in China. Sixty six observational studies about the psychological statuses of people during the COVID-19 were included, searching (...) up to 1 December 2020. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to evaluate the quality of the included studies. OpenMeta[Analyst] was used for the data analysis. High prevalence of acute stress and fear symptoms were observed in the early period of the epidemic. Additionally, anxiety and depression symptoms continued at a high prevalence rate during the epidemic. It should alert the lasting mental health problems and the risk of post-traumatic stress disorder and other mental disorders.Systematic Review Registration:PROSPERO CRD 42020171485. (shrink)

I. The Paradox of “Judgment” and Pre-reflective Self-AwarenessIn “Fichte’s Original Insight” (1982), Dieter Henrich, the founder of the Heidelberg School, delivered a diagnosis of why three hundred years of Western explication of the internal structure of subjectivity proved to be fruitless. As Manfred Frank noted, “Seldom has so much food for thought been put in a nutshell.”1 Fichte had the “insight” that his predecessors, in their totality (and “nearly all his successors”2), including Kant, misconceived the reality of our self-consciousness as (...) reflection, and thus fell prey to circular reasoning. A subject’s reflection on its own identity is impossible, since it can gain awareness of this identity only if it previously possessed some immediate knowledge of itself. Therefore, (self-)consciousness should not be conceived within the framework of the “reflection model,” which possesses an inherent contradiction, but rather as pre-reflective in nature, and as such it must be postulated by our thought. This is not to say that reflective consciousness—“egological” consciousness, the “reflection model of consciousness,” the “higher-order” theory of consciousness—i.e., the cogito, is impossible, but merely to highlight that its logical foundation cannot be justified by itself and that it essentially depends on the pre-reflective sphere of our psychic lives.3. (shrink)

Green innovation has been attracting much attention from academia and practice, but the influence of religion as an important informal institutional factor has not been fully investigated in existing studies. Taking Chinese listed companies from 2008 to 2019 as a sample, this study attempts to examine the relationship between religious atmosphere and corporate green innovation performance. The empirical results indicate that a religious atmosphere (Buddhism and Taoism as a whole) can significantly improve corporate green innovation performance, particularly high-quality green innovation. (...) The positive association between religion and green innovation performance is attenuated by pervasive formal institutions (i.e., environmental regulation), indicating that there is a substitutive effect between religion and formal institutions. We also find that Taoism mainly supports these results, while Buddhism has a limited impact, showing that there is a heterogeneous effect between different religions. We further find that the positive impact of religious atmosphere on green innovation performance is more pronounced in low-governance enterprises and low-polluting industries. This study contributes to research on the antecedents of corporate green innovation and the consequence of religion, which is of great significance to the value of religion in business practice. (shrink)

本书从历史演进的宏观方面着眼,探讨了中国封建社会的停滞性;儒家文化的实质;历史研究的方法论等问题。.

The Biliu River originates from the southern foot of Qinling Mountain in Gaizhou city, with an elevation of 1047 m, and is the largest river in Dalian. The hydrological elements mainly include rainfall, runoff, temperature, evaporation, and other time series associated with the hydrological cycle. Among them, runoff is the most visible output performance, and the direct source of runoff is during rainfall. This paper establishes a reservoir scheduling model that considers the influence of multiple uncertainty factors and analyzes the (...) influence of mixed uncertainty on reservoir scheduling and Xingli’s objectives based on probability box theory. In terms of uncertainties, the uncertainty of hydrological model parameters and the randomness of precipitation processes are mainly considered, with the former having an impact on river runoff simulation and the latter having an impact on both river runoff simulation and crop irrigation water demand. In the case of the Jing River basin, for example, the results show that, compared to the stochasticity of the precipitation process, the variation in precipitation has a significant effect on irrigation water demand in maize, followed by the frequency of precipitation, and the interaction between the two is not significant. (shrink)

The Bayesian vector autoregressive model introduces the statistical properties of variables as the prior distribution of the parameters into the traditional vector autoregressive model, which can overcome the problem of too little freedom. The BVAR model established in this paper can overcome the problem of short time series data by using prior statistical information. In theory, it should have a good effect in China’s regional economic forecasting. Most regional forecasting model literature lacks out-of-sample forecasting error evaluation research in the real (...) sense, but our early forecasts of major economic indicators provide an excellent opportunity for this paper to evaluate the actual forecast errors of the BVAR model in detail. The analysis in this paper shows that the prediction error of the BVAR model is very small and the prediction ability is very satisfactory. At the same time, this article also analyzes and points out the direction of efforts to further improve the prediction accuracy of the BVAR model. (shrink)

This study investigates the influences of action research on primary school English instruction from five dimensions in the classroom, viz., types of questions, language errors, gestures, facial expressions, and interpersonal distance. Four English teachers’ 9 real classroom teaching videos before and after action research are collected and annotated by using ELAN software. The results show that primary school English teachers in Chinese rural areas prefer closed questions to open questions; They make some language errors; Deictic gestures are the most common (...) gestures used, while metaphoric gestures, beat gestures and iconic gestures are rare; Teachers have the same preference for three types of facial expressions, and teachers’ serious expressions accounts for most of the time; They seldom keep an intimate distance or personal distance from their students. Second, Action research is effective to motivate teachers in rural areas, who make great progress in all five dimensions after AR: more open questions are asked; pragmatic errors and grammatical errors are reduced; deictic gestures increase; apathetic decrease, and more intimate distance is exhibited in the interpersonal distance dimension. Third, teacher’s English teaching competence is partly transferrable to her future professional development, and this is also the long-lasting effect of AR. (shrink)

Text emotion analysis is an effective way for analyzing the emotion of the subjects’ anomie behaviors. This paper proposes a text emotion analysis framework based on word embedding and splicing. Bi-direction Convolutional Word Embedding Classification Framework can express the word vector in the text and embed the part of speech tagging information as a feature of sentence representation. In addition, an emotional parallel learning mechanism is proposed, which uses the temporal information of the parallel structure calculated by Bi-LSTM to update (...) the storage information through the gating mechanism. The convolutional layer can better extract certain components of sentences, which play a more significant role in the expression of emotion. To take advantage of convolution, a Convolutional Long Short-Term Memory network is designed to further improve the classification results. Experimental results show that compared with traditional LSTM model, the proposed text emotion analysis model has increased 3.3 and 10.9% F1 score on psychological and news text datasets, respectively. The proposed CBDM model based on Bi-LSTM and ConvLSTM has great value in practical applications of anomie behavior analysis. (shrink)

For some of Plato’s commentators some passages of the Republic and the Parmenides provide a clear guideline regarding the extension of the noetic “world”, namely, a criterion that allows us to know what kind of Platonic forms there are, and which there are not. There are forms only for a pair of opposite properties such as “big” and “small”; indeed, smallness itself is not what appears to the senses, since each sensible instance of smallness appears “mixed” with its opposite, bigness. (...) On the contrary, things that are perceived by the senses such as fingers, do not have an eidos. However, a more careful reading of the relevant passages, taking into account what Socrates says in 476a about the unity and multiplicity of the forms, will show us the incorrectness of this interpretation. (shrink)