An esssential work of this enigmatic sage, draws from the ancient traditions of Buddhism, Taosim, and Advaita Vedanta.

This study refined the concept of resilience and developed four valid and reliable subscales to measure resilience, namely, Determination, Endurance, Adaptability and Recuperability. The study also assessed their hypothesized relationships with six antecedent variables (worry, physiological needs satisfaction, organizational socialization, conscientiousness, future orientation and Chinese values) and with one outcome variable (nurses’ career success). The four new 10‐item subscale measures of personal resilience were constructed based on their operational definitions and tested for their validity and reliability. All items were included (...) in a questionnaire completed by 244 full‐time nurses at two hospitals in China. All four measures demonstrated concurrent validity and had high reliabilities (from 0.74 to 0.78). The hypothesized correlations with the personality and organizational variables were statistically significant and in the predicted directions. Regression analyses confirmed these relationships, which explained 25–32% of the variance for the four resilience facets and 27% of the variance for the nurses’ career success. The results provided strong evidence that organizational socialization facilitates resilience, that resilience engenders career success and that identifying the four resilience facets permits a more complete understanding of personal resilience, which could benefit nurses, help nurse administrators with their work and also help in treating patients. (shrink)

The essence of Marxist philosophy is a philosophical criticism of society, and its development is driven by its philosophical criticism of social phenomena. Examining and criticizing music from a philosophical perspective can provide us with a brand new theoretical framework for music philosophy, exploring and applying new philosophical theories to analyze the fusion of ethnic elements in modern music composition, thereby expanding the philosophical field of music. This paper first introduces the concept and development of Marx's philosophy and philosophical view (...) of music, then analyzes the characteristics and current situation of the fusion of ethnic elements in modern music composition and discusses the criticality and practicality of the fusion of ethnic elements in modern music composition under the perspective of Marx's philosophical view. Finally, it is pointed out that the fusion of ethnic elements in modern music composition has the philosophical basis of combining formal analysis with meaning interpretation, technical rationality with musical aesthetics, and intersubjectivity. From the perspective of Marxist philosophy, exploring the philosophical foundation of the combination of modern music composition and ethnic factors helps to deeply analyze the philosophical connotations of modern music composition and ethnic elements, seek dialogue and understanding between modern music and ethnic elements, and reshape human sensory understanding. (shrink)

Art and philosophy are the two major elements of the human world. The existence of art and philosophy can expand the spiritual world of human beings to a greater extent and enrich their spiritual life, thus supporting the construction of the material world. And music, as an aural art, has also been given a philosophical meaning in the evolution of history because of its birth and development. Therefore, when studying music, one should first study the history of music. The philosophy (...) of music history education is not only profound and contains world culture and philosophy, but also carries history and economy. Music history education is also a vivid art form of philosophy, where teachers create an artistic beauty to attract students and achieve the purpose of imparting knowledge by optimizing their educational philosophy. To develop the philosophy of education to its fullest extent, teachers must adhere to the concepts associated with the philosophy of art. To explain this process in greater depth, this paper provides a brief review of the aesthetic philosophy and historical evolution of Chinese. (shrink)

BackgroundThe prognosis of hypertensive intracerebral hemorrhage is poor at high altitudes. The objective of this study was to explore whether hyperbaric oxygen can improve the results of computed tomography perfusion imaging and the neurological function of patients with HICH, and influence the hemoglobin concentration.MethodThe patients with HICH were treated with puncture and drainage. Twenty-one patients were treated with HBO after the operation, and the other patients received conventional treatment. CTP was performed twice, and all indices were measured. Scatter plots were (...) used to determine the effect of hemoglobin concentration on CTP imaging. Receiver operating characteristic curves were plotted to analyze the effects of hemoglobin concentration and hematoma volume on recovery results. The patients were followed up for 6 months.ResultsForty-one patients with HICH were treated with puncture and drainage. In total, 21 were treated with HBO after the operation, and 20 received conventional treatment as the control group. No significant differences in the CBV and CBF values of the two groups were noted before treatment. After 10 days, the values of CBV and CBF in the HBO group were significantly higher than those in the control group. A scatter diagram showed there was no significant in the HBO group, but significant correlation for the CBV and CBF values in the control group’s hematoma center and margin. The ROC curves showed that hematoma volume had an influence on prognosis of the control group. The Glasgow Coma Scale scores of the HBO group were significantly higher than those of the control group.ConclusionsHBO therapy can improve the postoperative CBV and CBF values of patients with HICH and ameliorate their prognoses. There was no significant correlation between HBO group and hemoglobin concentration on admission. (shrink)

Synchronization of biological neurons is not only a hot topic, but also a difficult issue in the field of bioelectrical physiology. Numerous reported synchronization algorithms are designed on the basis of neural model, but they have deficiencies like relatively complex and poor robustness and are difficult to be realized. Morris-Lecar neuron is considered, and linear active disturbance rejection control is designed. Only one control input signal is utilized to synchronize membrane potentials of biological neurons. Meanwhile, in order to verify the (...) robustness of synchronization, sinusoidal signal and parameter perturbations are introduced in numerical simulations. LADRC can still achieve satisfactory synchronization. Both theoretical and numerical simulation results show that LADRC is capable of estimating and cancelling disturbances and uncertainties. Neither accurate neural models nor concrete disturbance signal models are indispensable. A more practical and effective thought is provided to address the synchronization between neurons. (shrink)

Synchronization of biological neurons is not only a hot topic, but also a difficult issue in the field of bioelectrical physiology. Numerous reported synchronization algorithms are designed on the basis of neural model, but they have deficiencies like relatively complex and poor robustness and are difficult to be realized. Morris-Lecar neuron is considered, and linear active disturbance rejection control is designed. Only one control input signal is utilized to synchronize membrane potentials of biological neurons. Meanwhile, in order to verify the (...) robustness of synchronization, sinusoidal signal and parameter perturbations are introduced in numerical simulations. LADRC can still achieve satisfactory synchronization. Both theoretical and numerical simulation results show that LADRC is capable of estimating and cancelling disturbances and uncertainties. Neither accurate neural models nor concrete disturbance signal models are indispensable. A more practical and effective thought is provided to address the synchronization between neurons. (shrink)

An esssential work of this enigmatic sage, draws from the ancient traditions of Buddhism, Taosim, and Advaita Vedanta.

Megaprojects are implemented by different organisations, such as owners, consultants, and contractors. Gradually, these organisations and their connections can form business networks that influence both the market position of individual organisations and project performance. Previous research on large-scale projects mainly focused on static and homogeneous networks that were constructed by one individual project and/or carried out over one-off collaboration. However, this neglected the consideration of project network diversity, as well as repetitive, dynamic, cross-project coopetition relationship and long-term business networks formed (...) by key actors. Here, we chose Chinese skyscrapers over 300 meters that were built from 1996 to 2015 as typical megaproject cases and analysed the formation and evolution of megaproject business networks from the perspective of interorganisational coopetition. We identified the key actors involved and empirically studied their dynamic network positions over time. The main contributions of this study are threefold. First, we found that past collaboration experience has direct and dynamic impacts on the formation of megaproject business networks. Second, we identified key actors in the interorganisational business network and unveiled their dynamic positions with clear patterns. Third, we highlighted the temporal-spatial effect on the formation and development of business networks, alongside developments in the megaproject market. The findings of this study also provide practical applications for owners to choose collaboration partners and to build high-performance teams and for suppliers to enter and sustain the business in the megaprojects networks. (shrink)

With the fast development of web 2.0, information generation and propagation among online users become deeply interweaved. How to effectively and immediately discover the new emerging topic and further how to uncover its evolution law are still wide open and urgently needed by both research and practical fields. This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time-evolving and scalable heterogeneous social networks. The framework is composed of (...) three major steps. Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time-evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the “time-evolving” and directional topic propagation network. Our method is proved to yield preferable results on both a huge amount of computer-generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks. (shrink)

分: 哲学与时代精神、现代自然科学与辩证唯物主义、马克思主义哲学与宗教等9个专题。.

In this paper, the single-machine scheduling problem is studied by simultaneously considering due-date assignment and group technology. The objective is to determine the optimal sequence of groups and jobs within groups and optimal due-date assignment to minimize the weighted sum of the absolute value in lateness and due-date assignment cost, where the weights are position dependent. For the common due-date assignment, slack due-date assignment, and different due-date assignment, an O n log n time algorithm is proposed, respectively, to solve the (...) problem, where n is the number of jobs. (shrink)

Personal review record, as a form of personally identifiable information, refers to the past review information of a reviewer. The disclosure of reviewers’ personal information on electronic commerce websites has been found to substantially impact consumers’ perception regarding the credibility of online reviews. However, personal review record has received little attention in prior research. The current study investigated whether the disclosure of personal review record influenced consumers’ information processing and decision making by adopting event-related potentials measures, as ERPs allow for (...) a nuanced examination of the neural mechanisms that underlie cognitive processes. At the behavioral level, we found that the purchase rate was higher and that the reaction time was shorter when the review record was disclosed, indicating that the disclosed condition was more favorable to the participants. Moreover, ERPs data showed that the disclosed condition induced an attenuated N400 component and an increased LPP component relative to the undisclosed condition, suggesting that the former condition gave rise to less cognitive and emotional conflict and to more positive evaluations. Thus, by elucidating potential cognitive and neural underpinnings, this study demonstrates the positive impact of reviewers’ disclosure of personal review record on consumers’ purchase decisions. (shrink)

本书主要是针对我国当前改革建设的实践,运用马克思主义的哲学原理,加以深入的论述,特别是关于改革与社会心理、人的本质和人的价值、思维方式的变革、宗教等问题的论述、有新意、有深度。.

As the Covid-19 pandemic struck, many healthcare providers switched to telemedicine to deliver medical care through computer and phone screens. How can historians make sense of this use of technolo...

本书包括:古朝鲜三国及统一新罗时期、高丽时期、朝鲜王朝(李朝)时期、近代时期四编。.

This essay develops an inferential account of model explanation, based on Mauricio Suárez’s inferential conception of scientific representation and Alisa Bokulich’s counterfactual account of model explanation. It is suggested that the fact that a scientific model can explain is essentially linked to how a modeler uses an established model to make various inferences about the target system on the basis of results derived from the model. The inference practice is understood as a two-step activity, with the first step involving making (...) counterfactual statements about the model itself and the second step involving making hypothetical statements transferring over claims derived from the model onto the target. To illustrate how this two-step activity proceeds, an agent-based simulation model is discussed. (shrink)

Tu Wei-ming is the foremost exponent of Confucian thought in the United States today. Over the last two decades he has been developing a creative scholarly interpretation of Confucian humanism as a living tradition. The result is a work of interpretive brilliance that revitalizes Confucian thought, making it a legitimate concern of contemporary philosophical reflections.

Emotion recognition is an important part of building an intelligent human-computer interaction system and plays an important role in human-computer interaction. Often, people express their feelings through a variety of symbols, such as words and facial expressions. A business ecosystem is an economic community based on interacting organizations and individuals. Over time, they develop their capabilities and roles together and tend to develop themselves in the direction of one or more central enterprises. This paper aims to study a multimodal ER (...) method based on attention mechanism. It analyzes the current emotional state of consumers and the development direction of enterprises through multi-modal ER of human emotions and analysis of market trends, so as to provide the most appropriate response or plan. This paper firstly describes the related methods of multimodal ER and deep learning in detail, and briefly outlines the meaning of enterprise strategy in the business ecosystem. Then, two datasets, CMU-MOSI and CMU-MOSEI, are selected to design the scheme for multimodal ER based on self-attention mechanism. Through the comparative analysis of the accuracy of single-modal and multi-modal ER, the self-attention mechanism is applied in the experiment. The experimental results show that the average recognition accuracy of happy under multimodal ER reaches 91.5%. (shrink)