Towards Innovative Research Approaches to Investigating the Role of Emotional Variables in Promoting Language Teachers’ and Learners’ Mental Health

The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in improving the quality of language teaching and learning.Furthermore,these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition.In view of the favorable impact of emotional factors on the mental health of language teachers and learners,many educational scholars around the world have studied these factors,their background,and their pedagogical consequences.Nonetheless,the majority of previous studies have employed traditional research methods in assessing these variables and their influences on language teachers’and learners’mental health.Because of the complex and dynamic quality of emotional factors,traditional research approaches often fail to evaluate these factors and their dynamic,non-linear connections with teachers’and learners’mental health and well-being.Accordingly,some novel research approaches are required to measure the dynamicity and complexity of emotional factors in language education settings.To address this call,the current state-of-the-art conceptual article seeks to provide new insights for investigating emotional factors and their potential impact on language teachers’and learners’mental states.This study also intends to offer a comprehensive list of emerging methods that take into account the complex and dynamic nature of emotional variables.Finally,the study outlines the potential implications of this review for educational researchers.

What are Different Research Approaches?Comprehensive Review of Qualitative,Quantitative,and Mixed Method Research,Their Applications,Types,and Limitations

There are different ways to examine and explain a study and its findings based on using numbers as a measure,a descriptive style,or a mixture of both.These three research approaches are quantitative,qualitative,and mixed methods that are commonly used by researchers in various research studies.However,with many options regarding the research design,it seems challenging for researchers to select the most appropriate approach based on the study and realize differences.This study provides a comprehensive review of qualitative,quantitative,and mixed-method research methods.Each method is clearly defined and specifically discussed based on applications,types,advantages,and limitations to help researchers identify select the most relevant type based on each study and navigate accordingly.

Research approaches to mass casualty incidents response：development from routine perspectives to complexity science

Objective To review the research methods of mass casualty incident （MCI） systematically and introduce the concept and characteristics of complexity science and artificial system,computational experiments and parallel execution （ACP） method.Data sources We searched PubMed,Web of Knowledge,China Wanfang and China Biology Medicine （CBM） databases for relevant studies.Searches were performed without year or language restrictions and used the combinations of the following key words：“mass casualty incident”,“MCI”,“research method”,“complexity science”,“ACP”,“approach”,“science”,“model”,“system” and “response”.Study selection Articles were searched using the above keywords and only those involving the research methods of mass casualty incident （MCI） were enrolled.Results Research methods of MCI have increased markedly over the past few decades.For now,dominating research methods of MCI are theory-based approach,empirical approach,evidence-based science,mathematical modeling and computer simulation,simulation experiment,experimental methods,scenario approach and complexity science.Conclusions This article provides an overview of the development of research methodology for MCI.The progresses of routine research approaches and complexity science are briefly presented in this paper.Furthermore,the authors conclude that the reductionism underlying the exact science is not suitable for MCI complex systems.And the only feasible alternative is complexity science.Finally,this summary is followed by a review that ACP method combining artificial systems,computational experiments and parallel execution provides a new idea to address researches for complex MCI.

EXPLORING THE VARIOUS APPROACHES OF A RESEARCH INSTITUTE'S ENTRY INTO THE MARKET

To meet the demands posed by the socialist market economy, to foster the close integration of science & technology with the national economy and thus to promote the development of the forces of production are targets pursued by the current drive of restructuring China’s existing S&T system.For this,the CAS Shenyang Branch has conducted rewarding exploration by diversifying various approaches when moving into the market.As a result,it is not only boosting its own development,but also increasing the strength of the local economy.

The ethics of exercise in eating disorders:Can an ethical principles approach guide the next generation of research and clinical practice?

1.Introduction Eating disorders(ED)are the most common psychiatric disorders afflicting young women^1 and contribute to great detriments in psychological,social,and physical health.^(2,3)Unfortunately,ED treatments tend to be long lasting,intensive,and expensive.~4Additionally,individuals with ED seeking treatment use healthcare services more frequently than non-ED individu-

Participatory Action Research for Catalyzing Adaptive Management： Analysis of a ＂Fits and Starts＂ Process

This paper argues that contextual constraints can significantly interfere with the conduct of research and development, and accordingly should be analyzed more honestly. It describes a five country research project, Landscape Mosaics, in which participatory action research （PAR） was intended as one of two central approaches in the original research design （the other approach being more conventional research）. The five sites, in Cameroon, Indonesia, Laos, Madagascar, and Tanzania, are described, with an emphasis on their implementation of PAR. The fact that personnel and partners on three of the five sites failed to implement PAR is analyzed, to determine the constraints to such action. These findings are then compared with our experience with two other similar projects in which PAR was more widely implemented. We conclude by identifying the most important constraints to be overcome in implementing a PAR process, something we consider important in efforts to deal with change processes in developing countries.

AN^2 APPLICATION IN THE METRODS OF POPULATION GEOGRAPHY

This paper tries to present another theoretical view in the study of population geography by applying the principle of artificial neural network.It is our view that the approach to population geography study is of two kinds so far: the synthetic analysis and An2 synthetic analysis.

Combining Geomatics and Conventional Methods for Monitoring Forest Conditions under Different Governance Arrangements

This study employed an innovative meth- odological framework that combines geomatics and conventional survey methods to monitor changes in forest conditions and examine their associations with local forest governance parameters in a mountain watershed covering 153.3 km2 in the middle moun- tains of Nepal. The study involved two spatial scales and analytical steps. First, geomatics techniques were used to map and detect changes in major land cover types in the watershed between 1976 and 2000 and to analyze relationships between forest cover changes and governance arrangements. This was followed by micro-level analysis of the relationships between the biological conditions of selected forests within the watershed and their governance arrangements, using conventional survey methods and analytical tools. The findings show that forest cover in the watershed in- creased by about 15 per cent during the period. The rate of increase in forest cover was highest in areas under a semi-government type of governance ar- rangement, while the community forests were gener- ally better in terms of current biological conditions compared to the semi-government forests. This in- consistency between the findings from the two analy- ses does not allow us to draw any firm conclusions regarding the role of property rights in determining forest condition, but it indicates that the outcomes of local forest management initiatives may be more de-pendent on local institutional arrangements regulat- ing forest use and maintenance of forest resources than on the type of property rights arrangements. The findings also provide evidence of the methodological suitability of the research approach adopted, which may be useful for addressing many other research questions related to forestry and natural resources management, particularly those involving multiple spatial scales.

A Case Study of Employees＇ Engagement Practice in Corporate Responsibility Program

Organizational corporate social responsibility is a good practice by organizations. Organizations engagement in corporate social responsibility programs may benefit the organization and stakeholders. The focus of this paper is to explore the extent of employees＇ engagement in the organization＇s corporate responsibility programs by utilizing Unerman＇s （2007） stakeholders engagement framework. The main research question is how employees engage themselves in corporate social responsibility programs. This study employs a case study research design approach. The findings have shown that there is empowerment between employees and the management in the corporate social responsibility programs. Their involvement appears from their feedbacks and views in the surveys as well as discussion with regards to corporate responsibility programs. All in all, employees＇ engagement is seen as an important practice in the organization, particularly in planning, implementing, monitoring, and reporting the corporate responsibility program.

Environmental Obesogens and Their Perturbations in Lipid Metabolism

Epidemiological data show that obesity is now a pandemic.Lipid homeostasis requires the coordination of multiple tissues and organs,including the liver,kidney,cardiovascular system,and adipose tissues,to maintain bodily homeostasis.As increasing amounts of chemicals are being synthesized,applied,and released into the environment,their obesogenic effects have triggered serious concern.Currently,more than 50 types of chemicals with high human exposure levels have been identified as environmental obesogens that can interfere with lipid metabolism and induce obesity.Experimental studies have shown that the lipid metabolism interference effects of obesogens have multiple targets,including nuclear receptors,transcription factors,cytokines,and hormones.The interfering factors of environmental obesogeninduced obesity include transgenerational effects,susceptibility windows,gender differences,structure−effect relationships,and diet habits.Various research approaches have been established to conduct obesogenic effect research.This comprehensive review summarizes the mechanisms underlying obesogen actions and the research progress on obesogen-disrupted lipid metabolism,along with the influencing factors and research approaches,aiming to provide a framework for understanding the effects of environmental obesogens on lipid metabolism.

Exploring noncoding variants in genetic diseases:from detection to functional insights

Previous studies on genetic diseases predominantly focused on protein-coding variations, overlooking the vast noncoding regions in the human genome. The development of high-throughput sequencing technologies and functional genomics tools has enabled the systematic identification of functional noncoding variants. These variants can impact gene expression, regulation, and chromatin conformation, thereby contributing to disease pathogenesis. Understanding the mechanisms that underlie the impact of noncoding variants on genetic diseases is indispensable for the development of precisely targeted therapies and the implementation of personalized medicine strategies. The intricacies of noncoding regions introduce a multitude of challenges and research opportunities. In this review, we introduce a spectrum of noncoding variants involved in genetic diseases, along with research strategies and advanced technologies for their precise identification and in-depth understanding of the complexity of the noncoding genome. We will delve into the research challenges and propose potential solutions for unraveling the genetic basis of rare and complex diseases.

Exploration of Approaches and Factors for Healthy City Planning

Planning and design for healthy cities has drawn increasingly extensive attention. On the one hand, urban environmental issues have become prominent, especially air pollution caused by industrialization in developing countries; on the other hand, urban residents' demand for physical and mental health calls for physical space to promote the quality of life. Based on theoretical and empirical researches, this paper explores significant environmental factors in healthy city planning and their correlation with public health in different approaches. The research discusses the correlations between planning factors and public health from four aspects including land use, spatial form, transportation modes, and green open space so as to reduce pollution and its impact on humans as well as how they encourage physical activity. It aims to provide basis for healthy city planning and its related studies.

Research on predicting prosodic parameters for Chinese synthesis by data mining approach

Prosodic control is an important part of speech synthesis system. Prosodic parameters choice right or wrong influences the quality of synthetic speech directly. At present, text to speech system has less effective describe to reflect data relationships in the corpus. A new research approach - data mining technology to discover those relationships by association rules modeling is presented. And a new algorithm for generating association rules of prosodic parameters including pitch parameters and duration parameters from corpus is developed. The output rules improve the correctness of syllable choice in text to speech system.