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1. Overview of nurse practitioner practice management in the United States and its implications for China (美国开业护士执业管理概况及对我国的启示)

Author

ZHANG Xiaoman (张小曼), ZHOU Shuping (周淑萍), WANG Xiaomei (王小梅), GUO Chunmei (郭春梅), WANG Chao (王超), and WAN Kena (万克娜)

Subjects
nurse practitioner, nursing management, training, authentication mechanism, 开业护士, 护理管理, 培训, 认证机制, Nursing, RT1-120
Abstract

By providing systematic and comprehensive care services, a nurse practitioner play a crucial role in improving quality of primary healthcare and addressing the shortage of general practitioners. This paper provides an overview of the current practice situation, education system, registration certification, and license management of nurse practitioners in the United States. It aims to offer reference for establishing a qualification certification and evaluation management system with Chinese characteristics for nurse practitioners, as well as for educational management. This is of significant practical importance for promoting the cultivation of high-level nursing talents that meet the needs of China's health care development. (开业护士通过提供系统化和全面的护理服务, 在提高初级医疗质量、解决全科医生短缺问题方面发挥重要作用。本文综述了美国开业护士的发展现状、教育体系、注册认证及执业管理, 对高质量的培训体系和持续再认证机制进行分析, 旨在为建立具有中国特色的开业护士资格认证及评价管理体系提供参考。)

Published
2024
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9. Integrative proteogenomic characterization of early esophageal cancer

Author

Li, Lingling, Jiang, Dongxian, Zhang, Qiao, Liu, Hui, Xu, Fujiang, Guo, Chunmei, Qin, Zhaoyu, Wang, Haixing, Feng, Jinwen, Liu, Yang, Chen, Weijie, Zhang, Xue, Bai, Lin, Tian, Sha, Tan, Subei, Xu, Chen, Song, Qi, Liu, Yalan, Zhong, Yunshi, Chen, Tianyin, Zhou, Pinghong, Zhao, Jian-Yuan, Hou, Yingyong, and Ding, Chen

Published
2023
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18. The impact of China's split share structure reform and convergence with International Financial Reporting Standards on the quality of reported earnings

Author

Guo, Chunmei, Jackson, Richard, and Perotti, Pietro

Abstract

In the first decade of the twenty-first century, China, one of the world's largest economies, undertook both share market structure and financial reporting reforms as part of the country's development towards a more international, market-based economy. The split share structure reform (SSSR), implemented in three phases over 2005-2009, made previously untradeable shares in state owned enterprises (SOEs) tradeable in the stock market from the beginning of 2009; and International Financial Reporting Standards (IFRS)-converged Chinese Accounting Standards (CAS) replaced old Chinese GAAP for periods of account beginning on or after 1st January 2007. Using accounting and market data over the period 2003-2010 (inclusive), this research investigates the impact of implementation of the SSSR and the adoption of IRFS-converged CAS on the earnings quality of Chinese listed firms. Earnings quality is considered widely, across dimensions of accrual quality, earnings persistence, earnings timeliness and earnings (and returns) value relevance. Some of the empirical models are applied/interpreted in a novel/unconventional manner – as required in Chinese context of this study. The SSSR and convergence with IFRS are considered in tandem. This study finds strong evidence to support hypotheses that SSSR-related incentives led to: (i) downwards earnings management in the first phase of the SSSR implementation (negotiation phase, 2005-2006); (ii) upwards earnings management in the second (lock-in) phase of the SSSR (lock-in phase, 2007-2008); (iii) downwards earnings management in the third phase of the SSSR implementation (trading of previously untradeable shares, 2009- 2010); and (iv) a significant reduction in earnings quality, as variously assessed. Further, that the downwards/upwards manipulation of earnings was driven into share prices over 2005- 2008 – when Chinese market was of low liquidity and questionable efficiency. In addition, the evidence shows that IFRS-convergence in China from 2007 could not (and did not) significantly curtail earnings management in response to SSSR-related incentives. Some evidence, indeed, is suggestive that earnings management activities were less constrained under IFRSconverged CAS than they were under old Chinese GAAP. In terms of specific earnings quality results, this study finds that in the first phase of SSSR (2005-06), ahead of the adoption of IFRS-converged CAS, there was a net shift away from income-increasing to income-decreasing discretionary accruals; earnings persistence and predictability decreased; earnings smoothness increased; large loss reports and timeliness of loss recognition increased; and earnings value relevance and earnings response coefficient increased. In the second phase of SSSR (2007-08), despite the adoption of IFRS-converged CAS in 2007, working capital accruals quality reduced; there was a net shift away from incomedecreasing to income-increasing discretionary accruals; earnings persistence and predictability reduced; timeliness of loss recognition reduced; and earnings value relevance and earnings response coefficient increased. In the final phase of SSSR (2007-10), post-IFRSconvergence, working capital accruals quality reduced, there was a net shift away from income-increasing discretionary accruals to income-decreasing discretionary accruals; earnings persistence and predictability reduced; earnings smoothness and large loss recognition increased; and earnings value relevance and earnings response coefficient both decreased. This research addsto the accounting literature on earnings quality/management, and, in particular, the association between earnings quality and IFRS adoption (convergence) in the context of strong Chinese institutional and country factors – in considering/investigating the joint effect of IFRS convergence and SSSR on earnings quality for the first time. The findings will be of interest aside from providing a warning to international and Chinesedomestic investors/analysts as regards the earnings quality of Chinese listed firms. The findings of this research will help academics, policy makers, regulators and professional bodies to understand better the effect of accounting and market regulatory reforms in China, thereby facilitating their ongoing development of the Chinese accounting regulation and stock market structure.

Published
2020

24. Design, Synthesis and Crystal Structure of a Novel Fluorescence Probe for Zn 2+ Based on Pyrano[3,2-c] Carbazole.

Author

Xie, Ziyin, Fang, Qingwen, Xiao, Shuzhen, Wang, Jie, Lin, Ping, Guo, Chunmei, Cao, Huihua, Yin, Zhongping, Dong, Lihong, and Peng, Dayong

Subjects
BUFFER solutions, DENSITY functional theory, ZINC ions, TEA extracts, CRYSTAL structure
Abstract

Zinc is a trace element, which plays an important role in many biological processes. The deficiency of zinc will lead to many diseases. Thus, it is of great significance to develop fast and efficient quantitative detection technology for zinc ions. In this study, a novel fluorescence probe FP2 was designed for Zn2+ quantification based on pyrano[3,2-c] carbazole. The structure of FP2 was characterized by 1HNMR, 13CNMR, HRMS, and X-ray diffraction. In the HEPES buffer solution, FP2 is responsive to Zn2+ and greatly enhanced. The pH value and reaction time were investigated, and the optimum reaction conditions were determined as follows: the pH was 7~9 and the reaction time was longer than 24 min. Under the optimized conditions, the concentration of FP2 and Zn2+ showed a good linear relationship in the range of 0~10 μM, and the LOD was 0.0065 μmol/L. In addition, through the 1H NMR titration experiment, density functional theory calculation, and the job plot of FP2 with Zn2+ in the HEPES buffer solution, the binding mode of FP2 and Zn2+ was explained. Finally, the method of flame atomic absorption spectrometry (FAAS) and FP2 were used to detect the content of Zn2+ in the water extract of tea. The results showed that the FP2 method is more accurate than the FAAS method, which shows that the method described in this work could be used to detect the content of Zn2+ in practical samples and verify the practicability of this method. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Association of hypertriglyceridemic waist-to-height ratio and its dynamic status with risk of type 2 diabetes mellitus: The Rural Chinese Cohort Study

Author

Qie, Ranran, Li, Quanman, Zhao, Yang, Han, Minghui, Liu, Dechen, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Huang, Shengbing, Wu, Xiaoyan, Zhang, Yanyan, Qin, Pei, Li, Honghui, Wang, Jian, Cheng, Ruirong, Lin, Jinchun, Sun, Xizhuo, Wu, Yuying, Li, Yang, Yang, Xingjin, Feng, Yifei, Zhang, Ming, and Hu, Dongsheng

Published
2021
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36. Deaths from total and premature cardiovascular disease associated with high normal blood pressure and hypertension in rural Chinese men and elderly people

Author

Liu, Leilei, Liu, Yu, Ren, Yongcheng, Zhao, Yang, Qin, Pei, Liu, Dechen, Chen, Xu, Cheng, Cheng, Liu, Feiyan, Guo, Chunmei, Zhou, Qionggui, Li, Quanman, Tian, Gang, Han, Minghui, Qie, Ranran, Wu, Xiaoyan, Huang, Shengbing, Luo, Xinping, Cheng, Ruirong, Hu, Dongsheng, Wang, Jian, and Zhang, Ming

Published
2021
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37. Association of TCF7L2 gene polymorphisms, methylation, and gene–environment interaction with type 2 diabetes mellitus risk: A nested case–control study in the Rural Chinese Cohort Study

Author

Qie, Ranran, Han, Minghui, Huang, Shengbing, Li, Quanman, Liu, Leilei, Zhang, Dongdong, Cheng, Cheng, Zhao, Yang, Liu, Dechen, Qin, Pei, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Zhang, Yanyan, Wu, Xiaoyan, Wu, Yuying, Li, Yang, Yang, Xingjin, Feng, Yifei, Hu, Fulan, Zhang, Ming, Hu, Dongsheng, and Lu, Jie

Published
2021
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39. Association of Cycling with Risk of All-Cause and Cardiovascular Disease Mortality: A Systematic Review and Dose–Response Meta-analysis of Prospective Cohort Studies

Author

Zhao, Yang, Hu, Fulan, Feng, Yifei, Yang, Xingjin, Li, Yang, Guo, Chunmei, Li, Quanman, Tian, Gang, Qie, Ranran, Han, Minghui, Huang, Shengbing, Wu, Xiaoyan, Zhang, Yanyan, Wu, Yuying, Liu, Dechen, Zhang, Dongdong, Cheng, Cheng, Zhang, Ming, Yang, Yongli, Shi, Xuezhong, Lu, Jie, and Hu, Dongsheng

Published
2021
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40. Edge intelligence based digital twins for internet of autonomous unmanned vehicles.

Author

Yang, Bin, Wu, Bin, You, Yuwen, Guo, Chunmei, Qiao, Liang, and Lv, Zhihan

Subjects
DEEP reinforcement learning, REINFORCEMENT learning, WIRELESS cooperative communication, INTELLIGENT networks, DIGITAL twins
Abstract

It aims to explore the efficient and reliable wireless transmission and cooperative communication mechanism of Internet of Vehicles (IoV) based on edge intelligence technology. It first proposes an intelligent network architecture for IoV services by combining network slicing and deep learning (DL) technology, and then began to study the key technologies needed to achieve the architecture. It designs the cooperative control mechanism of unmanned vehicle network based on the full study of wireless resource allocation algorithm from the micro level. Second, in order to improve the safety of vehicle driving, deep reinforcement learning is used to configure the wireless resources of IoV network to meet the needs of various IoV services. The research results show that the accuracy rate of the improved AlexNet algorithm model can reach 99.64%, the accuracy rate is more than 80%, the data transmission delay is less than 0.02 ms, and the data transmission packet loss rate is less than 0.05. The algorithm model has practical application value for solving the data transmission related problems of vehicular internet communication, providing an important reference value for the intelligent development of unmanned vehicle internet. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Study on performance optimization of a liquid desiccant air conditioning system driven by photovoltaic thermal–air source heat pump.

Author

Guo, Chunmei, Bai, Ruxue, Gao, Rong, Li, Yu, Xiong, Hang, He, Zhonglu, You, Yuwen, and Wang, Leilei

Subjects
*HUMIDITY control, *AIR conditioning, *HEAT pumps, *TEMPERATURE control, *CARBON emissions
Abstract

Compared to conventional condensation dehumidification systems, a solar liquid desiccant air conditioning system (SLDAC) offers distinct advantages, enabling independent control of temperature and humidity while operating at low carbon levels. This paper proposes a low-carbon SLDAC thermal mass exchange model that uses an indirect evaporative cooling liquid dehumidifier and photovoltaic thermal and air source heat pump for combined driving of the solution regeneration process. The system simulation model was created using MATLAB and TRNSYS software. An experimental comparison was conducted between the dehumidification module and the regeneration module, and the system's performance was simulated with an airflow of 150 m3/h in the Tianjin area. The results indicate an average dehumidification efficiency of 44.03% and a regeneration efficiency of 40.80% throughout the cooling season. During the cooling season, the power generation of the system met the power demand and produced a surplus of 85.36 kWh, achieving overall self-sufficiency in power consumption. The optimized system's operating parameters were proposed, with regeneration temperatures of 57 °C in June and September and 65 °C in July and August. During the cooling season, the system's regeneration capacity exceeded its dehumidification capacity for 84.90% of the operating time. As a result of optimization, the system's carbon emissions were reduced by 59.35%. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Load Prediction of Regional Heat Exchange Station Based on Fuzzy Clustering Based on Fourier Distance and Convolutional Neural Network–Bidirectional Long Short-Term Memory Network.

Author

You, Yuwen, Wang, Zhonghua, Liu, Zhihao, Guo, Chunmei, and Yang, Bin

Subjects
CONVOLUTIONAL neural networks, MACHINE learning, ARTIFICIAL neural networks, HEATING load, BUILDING envelopes
Abstract

Cogeneration is an important means for heat supply enterprises to obtain heat, and accurate load prediction is particularly crucial. The heat load of a centralized heat supply system is influenced by various factors such as outdoor meteorological parameters, the building envelope structure, and regulation control, which exhibit a strong coupling and nonlinearity. It is essential to identify the key variables affecting the heat load at different heating stages through data mining techniques and to use deep learning algorithms to precisely regulate the heating system based on load predictions. In this study, a heat station in a northern Chinese city is taken as the subject of research. We apply the Fuzzy Clustering based on Fourier distance (FCBD-FCM) algorithm to transform the factors influencing the long and short-term load prediction of heat supply from the time domain to the frequency domain. This transformation is used to analyze the degree of their impact on load changes and to extract factors with significant influence as the multifeatured input variables for the prediction model. Five neural network models for load prediction are established, namely, Backpropagation (BP), convolutional neural network (CNN), Long Short-Term Memory (LSTM), CNN-LSTM, and CNN-BiLSTM. These models are compared and analyzed for their performance in long-term, short-term, and ultrashort-term heating load prediction. The findings indicate that the load prediction accuracy is high when multifeatured input variables are based on fuzzy clustering. Furthermore, the CNN-BiLSTM model notably enhances the prediction accuracy and generalization ability compared to other models, with the Mean Absolute Percentage Error (MAPE) averaging within 3%. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Association of non-HDL-C/HDL-C ratio and its dynamic changes with incident type 2 diabetes mellitus: The Rural Chinese Cohort Study

Author

Han, Minghui, Li, Quanman, Qie, Ranran, Guo, Chunmei, Zhou, Qionggui, Tian, Gang, Huang, Shengbing, Wu, Xiaoyan, Ren, Yongcheng, Zhao, Yang, Liu, Dechen, Zhang, Dongdong, Liu, Leilei, Liu, Feiyan, Chen, Xu, Cheng, Cheng, Li, Yang, Yang, Xingjin, Feng, Yifei, Liu, Yu, Li, Honghui, Sun, Xizhuo, Qin, Pei, Chen, Qing, Zhang, Ming, Hu, Dongsheng, and Lu, Jie

Published
2020
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