The Principles in Xiangji Operation: The Theoretical Crystallization of Chinese Economic Anthropology

The Chinese nation is a large family made up of multi-ethnic integration. In the process of adapting to its natural ecosystem and sociocultural background, all ethnic groups have formed their own unique ethnic cultures. In cross-cultural and cross-regional economic activities, the influence of many non-economic factors such as ethnic cultural values cannot be ignored. It is on this premise that the book “The Principles in Xiangji Operation” combines western economic anthropology theory with China's reality through field survey data from Guizhou, and puts forward the theory of xiangji (interphase) management. This way, it has successfully introduced a theoretical system of economic anthropology with Chinese characteristics

A Study on the Curriculum Setting and Characteristics of the Undergraduate Philosophy Major at Oxford University

The philosophy faculty at Oxford University is ancient and stately, with profound cultural background and a good tradition of philosophical concept of education and training target, which influences the philosophical education in Britain and even in the whole world. By cultivating the students’ ability of reading, logical thinking and critical thinking, it encourages students to correctly understand the world and use the knowledge effectively to solve various practical problems. This article tries to sort out the development of undergraduates’ education of philosophy at Oxford University, to analyze the curriculum setting of philosophy in the latest ten years, and to summarize the characteristics of philosophy education

The Exploration of Philosophy Teaching Organization Form at Oxford University

Philosophy educational goals of Oxford University are that by reading and training regularly to enlighten students’ mind, cultivate their reading ability, critical thinking and logical thinking ability, etc.. At Oxford University, cultivating students’ ability depends on rich teaching organizational forms. Teaching organizational forms affects the teaching quality and efficiency directly, and relates to the realization of educational objectives. Oxford University philosophy teaching takes various teaching organizational forms, which are lectures, tutorial system, seminars and presentations. These teaching organizational forms not only make Oxford University achieve its educational goals, but also become its features enjoying a worldwide reputation. This paper attempts to elaborate and analyze the four teaching organizational forms, to grasp its specific implementation process, characteristics as well as values, and to reflect on its enlightenments for Chinese university teaching organizational forms

Analyzing the Distribution and Trends of Research in Double Top-University Construction in China: A Knowledge Mapping Analysis of CSSCI Literature

This research study, titled "Analysis of Double Top-University Construction in Domestic Academia: A CSSCI Literature Review (2016-2019) Using CiteSpace," provides an analysis of relevant literature on Double Top-University construction in China. The study utilizes the CiteSpace visual tool to examine the distribution characteristics of Double Top-University Construction in China. It is found that The authors, institutions, journals, and focus themes related to Double Top-University construction were remain the key component of research in recent years. Challenges and potential problems exist in the development of China's "double first class" initiative, necessitating greater scholarly attention. Specifically, efforts are required to strengthen the connection between academic research and policy implementation, conduct further research on international experiences and emerging issues, and improve interdisciplinary collaboration among related fields. Given the interdisciplinary nature and complexity of this initiative, effective coordination and integration across disciplines are essential to meet long-term strategic objectives. The findings of the analysis provide valuable insights that can guide and enrich future investigations towards the construction of Double Top-Universities

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

Considering the balance of performance and efficiency, sampled point and voxel methods are usually employed to down-sample dense events into sparse ones. After that, one popular way is to leverage a graph model which treats the sparse points/voxels as nodes and adopts graph neural networks (GNNs) to learn the representation for event data. Although good performance can be obtained, however, their results are still limited mainly due to two issues. (1) Existing event GNNs generally adopt the additional max (or mean) pooling layer to summarize all node embeddings into a single graph-level representation for the whole event data representation. However, this approach fails to capture the importance of graph nodes and also fails to be fully aware of the node representations. (2) Existing methods generally employ either a sparse point or voxel graph representation model which thus lacks consideration of the complementary between these two types of representation models. To address these issues, in this paper, we propose a novel dual point-voxel absorbing graph representation learning for event stream data representation. To be specific, given the input event stream, we first transform it into the sparse event cloud and voxel grids and build dual absorbing graph models for them respectively. Then, we design a novel absorbing graph convolutional network (AGCN) for our dual absorbing graph representation and learning. The key aspect of the proposed AGCN is its ability to effectively capture the importance of nodes and thus be fully aware of node representations in summarizing all node representations through the introduced absorbing nodes. Finally, the event representations of dual learning branches are concatenated together to extract the complementary information of two cues. The output is then fed into a linear layer for event data classification

The Action Mechanism Between Government Debt and Financial Market In China: Analysis of China's Twenty Year History Data Combined With DAG and SVAR

This paper uses the sample data of financial market, economic prosperity and government debt related indicators from 1997 to 2017 in China, and uses DAG and SVAR models to study the linkage mechanism among macroeconomic variables. The results show that there is a causal relationship between financial market, economic prosperity and government debt, and the former two are the transmitter of volatility factors, the latter is the receiver. In the long run, the impact of global economic and capital market volatility on China’s government debt risk is significantly higher than the real estate industry and price level and other domestic factors. Active fiscal policy will make the risk of government debt show a rising trend, it is worth noting that the development of financial markets and economic prosperity can reduce the impact of fiscal policy on the economy, thereby alleviating the risk of government debt