Chinese medical service and medical education in urgent need of reform in the context of public welfare-based medical reform

After six years＇medical reform,about 7.8 billion person-times of medical service has been achieved by2014,and the number of persons covered by basic medical insurance for urban employees,basic medical insurance for urban residents,and new rural cooperative medical insurance exceeded 1.3 billion,of which the coverage ratio reached as high as over 95%,establishing the largest basic medical security network in the world.

Mitochondria in the context of Parkinson's disease

Introduction to the disease：Parkinson’s disease（PD）is the second most common neurodegenerative disease,affecting 1–2%of the population over the age of 65.Rigidity,bradikynesia,postural instability and tremor are the principal clinical characteristics of this disease,

An Analysis of the Cognitive Constraints of Parody in the Context of Network Media

The language used in the context of network media features variation, flexibility, and comprehensiveness, in which parody is one of the most employed devices. Modern cognitive science prefers to take parody as a cognitive act rather than a sheer linguistic modification act, which has provided a new prospective for further research about parody in the context of network media. This paper aims to probe into the cognitive constraints in the mechanism of parody in the context of network media, in hope to make a detailed explanation of the cognitive process of it and to strengthen the comprehension and appreciation of it.

Human Rights Protection in the Context of Ruling the Country by Law

At a conference in Beijing on December 4, 2012 marking the 30th anni- versary of the adoption of the current Constitution, General Secretary of the CPC Central Committee Xi Jinping pointed out, ＂To fully implement the Constitution is the primary task and the basic work in building a socialist nation ruled by law.＂ He also said, ＂A country ruled by law should be first ruled by the Constitution, and lawful governance should be based on the Constitution.＂

A Review of the Past Century in the Context of the Past Millennium: Science & Society in China and the West

In order to understand the significance and future of science, we must make clear the interaction between science and society. Although a consensus on this has reached among scholars and even the public, an explicit analytical framework for related studies on science and society is so far unavailable.In light of the outlook of cultural evolutionism, this article puts forward an analytic framework, on which an analysis on the Chinese science in the 20th century is made based on the discussion of science in China and the West. The principal conclusion obtained from the discussion is: Without a system of modern democracy, it is impossible to make science prosper and without a modern market system, technological progress is out of the question. Similarly, without contributions to the world's science and technology, the Chinese nation will not be able to get an equal foothold among the other nations in today's world.

China's Financial Reform in the Context of Financial Stability and Efficiency

I. IntroductionAs Douglas North once said, "Institutions are the rules of the game in a society. The beginning of wisdom is to understand how the game is played." In the same way, it is vital to understand the international experience and rules of a financial system when a country tries to advance financial reform. International experience shows that the development

The Potential for Distance Learning in Inner Mongolia

In this paper we discuss the general understanding of distance education, and analyze the advantages and significance of distance education, especially in relation to the teacher education in Inner Mongolia. Reviewing the current practice, we investigate some issues in the local context and give some practical suggestions in light of some external experience. It is believed that development of distance education will be the potential solution to the continuing professional education of school teachers.

A Generic Description Model for the Structure of Atomic Nucleus with New Interpretation of the Strong Forces

The present investigation is motivated by finding and developing an easily understandable solution in the context of unified quantum and gravitational theories. Model-based methods are applied, with emphasis on structural descriptions by introducing some strong hypotheses. A subset of the introduced hypotheses led to a surprising understanding of the internal structure and construction of quarks, neutrons, protons and more complex atomic nuclei. The research work therefore focused mainly on the model-based interpretation of subatomic processes. The results obtained so far and presented in this paper are new. They consist of a generic description model for the structure of atomic nuclei. This model contains two important structural links that originate from the initial phase of the cosmological big bang. They hold atomic parts together and are involved in many known nuclear fusion and fission processes. Modifications of them, including the electron-positron annihilation process, are necessary and will be described. A new interpretation of the strong forces from the Standard Model is possible and will be given. In addition, the formation processes for electron and positron particles are considered. Based on the structural relationships, a deeper understanding of matter transformations (transmutations), early cosmological processes and dark matter has been achieved. All challenges of this work are the logical conclusions from the used hypotheses on two structural links. They need to be further investigated and verified by theoretical and experimental works. The postulated particle in this paper, as accompanying product in the electron-positron annihilation, will play a major role for the future investigations.

Fine-Tuning Cyber Security Defenses: Evaluating Supervised Machine Learning Classifiers for Windows Malware Detection

Malware attacks on Windows machines pose significant cybersecurity threats,necessitating effective detection and prevention mechanisms.Supervised machine learning classifiers have emerged as promising tools for malware detection.However,there remains a need for comprehensive studies that compare the performance of different classifiers specifically for Windows malware detection.Addressing this gap can provide valuable insights for enhancing cybersecurity strategies.While numerous studies have explored malware detection using machine learning techniques,there is a lack of systematic comparison of supervised classifiers for Windows malware detection.Understanding the relative effectiveness of these classifiers can inform the selection of optimal detection methods and improve overall security measures.This study aims to bridge the research gap by conducting a comparative analysis of supervised machine learning classifiers for detecting malware on Windows systems.The objectives include Investigating the performance of various classifiers,such as Gaussian Naïve Bayes,K Nearest Neighbors(KNN),Stochastic Gradient Descent Classifier(SGDC),and Decision Tree,in detecting Windows malware.Evaluating the accuracy,efficiency,and suitability of each classifier for real-world malware detection scenarios.Identifying the strengths and limitations of different classifiers to provide insights for cybersecurity practitioners and researchers.Offering recommendations for selecting the most effective classifier for Windows malware detection based on empirical evidence.The study employs a structured methodology consisting of several phases:exploratory data analysis,data preprocessing,model training,and evaluation.Exploratory data analysis involves understanding the dataset’s characteristics and identifying preprocessing requirements.Data preprocessing includes cleaning,feature encoding,dimensionality reduction,and optimization to prepare the data for training.Model training utilizes various supervised classifiers,and their performance is evaluated using metrics such as accuracy,precision,recall,and F1 score.The study’s outcomes comprise a comparative analysis of supervised machine learning classifiers for Windows malware detection.Results reveal the effectiveness and efficiency of each classifier in detecting different types of malware.Additionally,insights into their strengths and limitations provide practical guidance for enhancing cybersecurity defenses.Overall,this research contributes to advancing malware detection techniques and bolstering the security posture of Windows systems against evolving cyber threats.

College Students’Quest for Lexical Study and Application

What every brick is for grande building,vocabulary is for the foundation laid for the acquisition of one language.It follows that authentic expressions are justified by the mastery of its application in a specific context.Therefore,it is crucial to delve into the process of vocabulary acquisition,that is,the effect of students’input and output.Words’meanings varied in distinct contexts.Starting from the above two aspects,this paper illustrates the understanding of learning words through examples,so as to optimize the word learning method to achieve twice the result with half the effort.

Existing Problems and Solutions on Rural Primary School Language Education

At present,there are still many problems in language teaching in rural primary schools,which will affect the quality of teaching if we don't pay much attention to them.This article focuses on the existing flaws in current language teaching and provides some solutions.