Sex, Death, and Hierarchy in a Chinese City: An Anthropological Account.

Man ◽  
1994 ◽  
Vol 29 (4) ◽  
pp. 1018
Author(s):  
Goran Aijmer ◽  
William R. Jankowiak
Keyword(s):  
Chinese City

Vertical lidar sounding of atomic mercury and nitric oxide in a major Chinese city

2010 ◽  
Vol 101 (1-2) ◽  
pp. 465-470 ◽  
Author(s):  
Z. G. Guan ◽  
P. Lundin ◽  
L. Mei ◽  
G. Somesfalean ◽  
S. Svanberg
Keyword(s):  
Nitric Oxide ◽  
Chinese City ◽  
Lidar Sounding ◽  
Atomic Mercury ◽  
Major Chinese City

scholarly journals Entropy-based Chinese city-level MRIO table framework

2021 ◽  
pp. 1-26
Author(s):  
Heran Zheng ◽  
Johannes Többen ◽  
Erik Dietzenbacher ◽  
Daniel Moran ◽  
Jing Meng ◽  
...  
Keyword(s):  
Chinese City

scholarly journals Evaluation of work resumption strategies after COVID-19 reopening in the Chinese city of Shenzhen: a mathematical modeling study

Public Health ◽  
2021 ◽  
Author(s):  
Lu Bai ◽  
Haonan Lu ◽  
Hailin Hu ◽  
M. Kumi Smith ◽  
Katherine Harripersaud ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Chinese City ◽  
Work Resumption ◽  
Modeling Study

Are Chinese Cities Oversized?

2019 ◽  
Vol 43 (6) ◽  
pp. 632-654
Author(s):  
Daidai Shen ◽  
Jean-Claude Thill ◽  
Jiuwen Sun
Keyword(s):  
Neural Networks ◽  
Equilibrium Model ◽  
Urban Population ◽  
Urban System ◽  
Agglomeration Economies ◽  
City Size ◽  
Chinese City ◽  
Intermediate Solution ◽  
Optimal City Size ◽  
The Impact

In this article, the socioeconomic determinants on urban population in China are empirically investigated with a theoretical equilibrium model for city size. While much of the research on urban size focuses on the impact of agglomeration economies based on “optimal city size” theory, this model is eschewed in our research due to its theoretical paradox in the real world, and we turn instead toward an intermediate solution proposed by Camagni, Capello, and Caragliu. This equilibrium model is estimated on a sample of 111 prefectural cities in China with multiple regression and artificial neural networks. Empirical results have shown that the model explains the variance in the data very well, and all the determinants have significant impacts on Chinese city sizes. Although sample cities have reached their equilibrium sizes as a whole, there is substantially unbalanced distribution of population within the urban system, with a strong contingent of cities that are either squarely too large or too small.

scholarly journals Transportation policy profiles of Chinese city clusters: A mixed methods approach

2019 ◽  
Vol 2 ◽  
pp. 100053 ◽  
Author(s):  
Joanna Moody ◽  
Shenhao Wang ◽  
Jungwoo Chun ◽  
Xuenan Ni ◽  
Jinhua Zhao
Keyword(s):  
Mixed Methods ◽  
Transportation Policy ◽  
Mixed Methods Approach ◽  
Chinese City

Knowledge, attitude and practice survey regarding blood donation in a Northwestern Chinese city

2005 ◽  
Vol 15 (4) ◽  
pp. 277-286 ◽  
Author(s):  
N. Zaller ◽  
K. E. Nelson ◽  
P. Ness ◽  
G. Wen ◽  
X. Bai ◽  
...  
Keyword(s):  
Blood Donation ◽  
Practice Survey ◽  
Chinese City ◽  
Attitude And Practice ◽  
Knowledge Attitude And Practice

scholarly journals Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 109 ◽  
Author(s):  
Iman Rahimi ◽  
Amir H. Gandomi ◽  
Panagiotis G. Asteris ◽  
Fang Chen
Keyword(s):  
Machine Learning ◽  
Logistic Function ◽  
Prediction Performance ◽  
Machine Learning Algorithms ◽  
Model Parameters ◽  
The Novel ◽  
Chinese City ◽  
Limited Memory ◽  
Increasing Trend ◽  
Novel Coronavirus

The novel coronavirus disease, also known as COVID-19, is a disease outbreak that was first identified in Wuhan, a Central Chinese city. In this report, a short analysis focusing on Australia, Italy, and UK is conducted. The analysis includes confirmed and recovered cases and deaths, the growth rate in Australia compared with that in Italy and UK, and the trend of the disease in different Australian regions. Mathematical approaches based on susceptible, infected, and recovered (SIR) cases and susceptible, exposed, infected, quarantined, and recovered (SEIQR) cases models are proposed to predict epidemiology in the above-mentioned countries. Since the performance of the classic forms of SIR and SEIQR depends on parameter settings, some optimization algorithms, namely Broyden–Fletcher–Goldfarb–Shanno (BFGS), conjugate gradients (CG), limited memory bound constrained BFGS (L-BFGS-B), and Nelder–Mead, are proposed to optimize the parameters and the predictive capabilities of the SIR and SEIQR models. The results of the optimized SIR and SEIQR models were compared with those of two well-known machine learning algorithms, i.e., the Prophet algorithm and logistic function. The results demonstrate the different behaviors of these algorithms in different countries as well as the better performance of the improved SIR and SEIQR models. Moreover, the Prophet algorithm was found to provide better prediction performance than the logistic function, as well as better prediction performance for Italy and UK cases than for Australian cases. Therefore, it seems that the Prophet algorithm is suitable for data with an increasing trend in the context of a pandemic. Optimization of SIR and SEIQR model parameters yielded a significant improvement in the prediction accuracy of the models. Despite the availability of several algorithms for trend predictions in this pandemic, there is no single algorithm that would be optimal for all cases.

Differentiating the associations of black carbon and fine particle with daily mortality in a Chinese city

2013 ◽  
Vol 120 ◽  
pp. 27-32 ◽  
Author(s):  
Fuhai Geng ◽  
Jing Hua ◽  
Zhe Mu ◽  
Li Peng ◽  
Xiaohui Xu ◽  
...  
Keyword(s):  
Black Carbon ◽  
Fine Particle ◽  
Daily Mortality ◽  
Chinese City

scholarly journals How Do Political Features Influence the Co-Production of Government Projects? A Case Study of a Medium-Sized Chinese City

2021 ◽  
Vol 13 (14) ◽  
pp. 7600
Author(s):  
Wenting Ma ◽  
Rui Mu ◽  
Martin de Jong
Keyword(s):  
Performance Measurement ◽  
Critical Role ◽  
Chinese City ◽  
Production Stages ◽  
Political Background ◽  
The Government ◽  
And Performance ◽  
Western Experience ◽  
The Impact

Co-production is a solution by which the government provides public services. Co-production theory is built upon Western experience and currently focuses on the types of co-production in different policy stages, the barriers and governance strategies for co-production. However, little attention is paid to how political background will influence the co-production process. To fill the gap, we analyzed a case of co-production that occurred in China, and we characterized the political background as consisting of three main political features: political mobility, central–local relations, and performance measurement. Based on an in-depth case study of a government project in a medium-sized Chinese city, the impact and the changes of political features affecting governmental projects in different co-production stages are analyzed and assessed. We find that political features play a critical role in the co-production of China’s large government projects and may separately and jointly affect co-production. Government performance measurement affects the co-design and co-implementation of projects. Political mobility and changes in local government and performance measurement also affect the co-implementation continuity of the project. Political focus affects the co-design of projects. Central-local relations influence the support from higher government and the actual practices of lower government in the co-implementation stage.

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