1,406 research outputs found

    Rereading the Classics: Cognition and Practice of Goodness

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    The issue of the good and the evil has always been the moral cultivation discussed by ancient-modern and Chinese-foreign scholars, whose works are the wisdom treasures and classics. In the 21st century with the emergence of various problems such as the environmental deterioration, global warming, regional conflicts, epidemics and other uncertainty, it is of immeasurable significance to rereading many works for the reflection and interpretation of goodness implication so that their excellent traditional culture on goodness can continue to nourish and enlighten today’s moral education, and awaken a moral consciousness to have habitual memory and cognition of goodness, to stick to good will and do good deeds to commit to improving people’s well-being. It’s more important for global people through interpretations in cultural inheritance to set up a universal concept and standard on goodness to standardize human thoughts and behavior, which are certain to contribute to solution to the above problems and the construction of social harmony and a community with a shared future for mankind

    New Thoughts on College Teachers’ Training

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    With the continuous improvement and development of teaching quality in colleges, college teachers’ training has achieved fast development and been strengthened significantly. However, conditions are various at different times and problems are complicated. Concerning the issue of college teachers’ training, the authors put forward several new thoughts, i.e., enriching the training contents, enhancing the diversity of training methods, improving teachers’ initiatives and enthusiasm, and adopting modern training tools

    Research on Personalized Recommender System for Tourism Information Service

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    Since the development in the 1990s, Recommender system has been widely applied in various fields. The conflict between the expansion of tourism information and difficulty of tourists obtaining tourism information allows Tourism Information Recommender System to have a practical significance. Based on the existing online tourism information service and the mature recommendation algorithms, Personal Recommender System can be used to solve present problems of the key recommendation algorithms. In the first place, this research presents an overview of researches on this issue both at home and abroad, and analyzes the applications of main stream recommendation algorithms. Secondly, a comparative study of domestic and international tourism information service websites is conducted. Drawbacks in their applications are defined and advantages are adopted in the settings of Recommender System. Finally, this research provides the framework of Recommender System, which combines the design and test of algorithms and the existing tourism information recommendation websites. This system allows customers to broaden experience of tourism information service and make tourism decisions more accurately and rapidly. Keywords: Tourism information service, Personalized recommendation, Intelligence recommendation module, Apriori algorith

    Postsynaptic Elevation of Calcium Induces Persistent Depression of Developing Neuromuscular Synapses

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    AbstractSynaptic activity is known to modulate neuronal connectivity in the nervous system. At developing Xenopus neuromuscular synapses in culture, repetitive postsynaptic application of ACh near the synapse leads to immediate and persistent synaptic depression, which was shown to be caused by reduction of presyaptic evoked transmitter release. However, little depression was found when ACh was applied to the muscle 20 ÎŒm or further from the synapse. Fluorescence imaging of cytosolic Ca2+ ([Ca2+]i) showed that each ACh pulse induced a transient elevation of myocyte [Ca2+]i that spread approximately 20 ÎŒm. Local photoactivated release of Ca2+ from the caged Ca2+ chelators nitr-5 or nitrophen in the postsynaptic cell was sufficient to induce persistent synaptic depression. These results support a model in which localized Ca2+ influx into the postsynaptic myocyte initiates transsynaptic retrograde modulation of presynaptic secretion mechanisms

    Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations

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    The use of neural networks to directly predict three-dimensional dose distributions for automatic planning is becoming popular. However, the existing methods only use patient anatomy as input and assume consistent beam configuration for all patients in the training database. The purpose of this work is to develop a more general model that, in addition to patient anatomy, also considers variable beam configurations, to achieve a more comprehensive automatic planning with a potentially easier clinical implementation, without the need of training specific models for different beam settings

    A study on the agglomeration characteristics of the scallop aquaculture industry in China

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    Scallops are economically important shellfish widely cultured in China. In this study, the agglomeration characteristics of the scallop aquaculture industry in Chinese coastal provinces were explored based on data from the China Fishery Statistical Yearbook from 2012 to 2020 and the comparative advantage and concentration level of the scallop breeding industry. The data were analyzed using the comprehensive relative advantage index, location entropy, and industrial concentration degree method. Two main results revealed that Hebei Province had the highest comparative advantage in terms of efficiency, followed by Fujian, Guangdong, Shandong, Guangxi, Liaoning, and Zhejiang Provinces. Hebei Province had the highest comparative advantage in scale, followed by Liaoning, Shandong, Hainan, Guangdong, Guangxi, Fujian, and Zhejiang Provinces. Additionally, the scallop cultivation industry in Hebei, Shandong, and Liaoning Provinces showed a high concentration, and the proportion of scallop production in the national production (CR4) in the three provinces, as well as in Guangdong, accounted for more than 99% year-round. Overall, Hebei, Shandong, and Liaoning Provinces had a comparative advantage in scale, comprehensive comparative advantage, and industrial agglomeration

    Driving towards inclusion: Using a service design framework to investigate technology-induced inequalities

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    Technological growth is realizing an ever more intelligent and convenient future. However, is this future equal, and what role does service design play in addressing, or exacerbating, these inequalities? The relationship between technology and inequality is fluid, moving from the elimination of existing inequalities to the creation of new ones, and service design has the potential to impact this bidirectional relationship. On the other hand, the current literature fails to clearly identify service design’s contribution to the technology-inequality-design nexus. This paper develops a framework to do so. Drawing on the four dimensions of the Information Technology Infrastructure Library (ITIL) 4 model, this paper uses double diamond design process and methods, including user journey, problem framing, and prototyping, etc. to propose a novel framework incorporating four dimensions of service design and their links to inequality. The framework is then demonstrated through an application to autonomous vehicle technology. More broadly, the framework can be used by service designers and practitioners to identify different dimensions of hidden inequality within service design
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