Chinese Anti-Cancer Association as a non-governmental organization undertakes systematic cancer prevention work in China

Cancer has become the first leading cause of death in the world, particularly in low- and middle-income countries. Facing the increasing trend of cancer incidence and mortality, China issued and implemented ＂three-early（early prevention, early diagnosis and early treatment）＂ national cancer prevention plan. As the main body and dependence of social governance, non-governmental organizations（NGOs） take over the role of government in the field of cancer prevention and treatment. American Cancer Society（ACS） made a research on cancer NGOs and civil society in cancer control and found that cancer NGOs in developing countries mobilize civil society to work together and advocate governments in their countries to develop policies to address the growing cancer burden. Union for International Cancer Control（UICC）, Cancer Council Australia（CCA）, and Malaysian cancer NGOs are the representatives of cancer NGOs in promoting cancer control. Selecting Chinese Anti-Cancer Association（CACA） as an example in China, this article is to investigate how NGOs undertake systematic cancer prevention work in China. By conducting real case study, we found that, as a NGO, CACA plays a significant role in intensifying the leading role of government in cancer control, optimizing cancer outcomes, decreasing cancer incidence and mortality rates and improving public health.

Analysis of the Development Structure on Non-governmental Enterprises of Science and Technology

Based on the development of the non-governmental enterprises of science and technology in the past twenty years, this paper applied an interpretive structure model (ISM) to make a research on the regular development pattern of these enterprises and to probe into the interior development mechanism theoretically. The studying results supply ideas underlying the scientific decision for the governments at all levels and show the direction of the development of the non-governmental enterprises of science and technology in the future.

Non-governmental organizations'influence on tackling black carbon in the shipping industry

This paper reviews the achievements of some typical non-governmental organizations （NGOs） in reducing black carbon emissions from shipping which enjoy the consultative status offered by the International Maritime Organization. It discusses the roles of the specific NGOs in dealing with black carbon in the Arctic region from the perspective of global governance to gain insights to guide our involvements in the Arctic affairs and shipping in the region by taking the advantages of NGOs＇ influence on the proceedings of international negotiations, our national policy development, the improvement of industrial practices and public perceptions.

General laws of funding for scientific citations:how citations change in funded and unfunded research between basic and applied sciences

Purpose:The goal of this study is to analyze the relationship between funded and unfunded papers and their citations in both basic and applied sciences.Design/methodology/approach:A power law model analyzes the relationship between research funding and citations of papers using 831,337 documents recorded in the Web of Science database.Findings:The original results reveal general characteristics of the diffusion of science in research fields:a)Funded articles receive higher citations compared to unfunded papers in journals;b)Funded articles exhibit a super-linear growth in citations,surpassing the increase seen in unfunded articles.This finding reveals a higher diffusion of scientific knowledge in funded articles.Moreover,c)funded articles in both basic and applied sciences demonstrate a similar expected change in citations,equivalent to about 1.23%,when the number of funded papers increases by 1%in journals.This result suggests,for the first time,that funding effect of scientific research is an invariant driver,irrespective of the nature of the basic or applied sciences.Originality/value:This evidence suggests empirical laws of funding for scientific citations that explain the importance of robust funding mechanisms for achieving impactful research outcomes in science and society.These findings here also highlight that funding for scientific research is a critical driving force in supporting citations and the dissemination of scientific knowledge in recorded documents in both basic and applied sciences.Practical implications:This comprehensive result provides a holistic view of the relationship between funding and citation performance in science to guide policymakers and R&D managers with science policies by directing funding to research in promoting the scientific development and higher diffusion of results for the progress of human society.

Chen Haosu on Non-governmental Diplomacy

Chen Haosu, president of the Chinese People’s Association For Friendship With Foreign Countries (AFFWFC) was interviewed with a Xinhua News Agency reporter and said, the people-to-people diplomacy, as an integral part of the state’s diplomacy, had satisfactorily developed in the year 2001 with greater success in friendly transactions.

Weber Law Based Approach for Multi-Class Image Forgery Detection

Today’s forensic science introduces a new research area for digital image analysis formultimedia security.So,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered images.Exiting forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing forgeries.However,an image can contain one or more types of forgeries.This study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial domain.Firstly,images are divided into equal blocks to get scale-invariant features.Weber law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing forgery.The proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and healthy.Benchmarked(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and testing.On average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.

The United Nations Non-Governmental Liaison Service(UN-NGLS)

Civil society is the'third sector'of society,along with government and business.It comprises civil society organizations and non-governmental organizations.The UN recognizes the importance of par tnering with civil society,because it advances the Organization’s ideals,and helps support its work.

Exchanges between CAFIU and Non-Governmental Organizations in Europe

It has always been one of its major tasks for CAFIU to conduct non-governmental exchanges and contacts with European countries since CAFIU was founded more than thirty years ago.As in recent years,the China-Europe comprehensive strategic partnership has continuously deepened with exchanges and cooperation in various areas further

On the Development Strategy of Internationalization of Non-governmental Higher Education

The integration of global economic and society information makes the traditional education and means of education have been changing for thousands of years, which never appear before. The internationalization of higher education has become the true fact. The non-governmental colleges has become the important part of higher education as a new power and abiding by the trend of internationalization of higher education just like the public colleges. Therefore they need to enhance the cultural exchange and cooperation with international universities and orientate their talent training mode in the international competition and even take the charge of flexible operation mechanism to pave the new way for their own characteristics and core competence.

基于多尺度Laws纹理能量和低秩分解的织物疵点检测算法

为提高织物疵点检测算法对简单纹理织物、模式纹理织物及条纹纹理织物检测时的普适性和准确性,提出了一种基于多尺度Laws纹理能量和低秩分解的织物疵点检测算法。首先,对织物图像进行直方图均衡化并将处理后的图像均匀划分为子图像块;其次,对每个子图像块提取28个纹理能量特征(利用7个Laws滤波模板在4个尺度上提取),计算所有子图像块提取到的特征均值并组成特征矩阵;然后,利用特征矩阵构建低秩分解模型,通过方向交替方法(ADM)优化求解,得到低秩部分和稀疏部分;最后,由稀疏部分生成疵点显著图,采用迭代阈值分割法对其进行分割,得到织物疵点检测结果。为验证该算法的有效性,在织物图像数据集选取了包含错纬、断经、跳花、破洞等常见疵点的织物图像,并将实验结果与已有3种算法进行了对比。实验结果表明,该算法在简单纹理织物、模式纹理织物及条纹纹理织物检测上具有更好的普适性和准确性,且检测效率具有一定优势。

A Survey of Learning Motivation among Junior and Senior English Majors in Non-governmental Universities——A Case Study in Ningbo Dahongying University

Motivation is an important factor to English learning,it plays an important role.In this thesis,the instrument used in the study is a questionnaire,and this thesis was conducted on December 5th,2016 at Ningbo Dahongying University involving 182 students.Based on the questionnaire investigation,this thesis discusses the learning motivation of English major juniors and seniors in Ningbo Dahongying University from the motivation types,factors and strategies.