A SCIENTIFIC SYSTEM DEVOTED TO KNOWLEDGE INNOVATION

The Xiangshan Science Conference is an interdisciplinary, comprehensive and small-scale forum with a higher knowledge-level, which has offered a broad and relaxed environment of academic exchange and free discussion for scientists, and probed into scientific frontiers and the future in the form of comment and reports on special topics and deep discussions. The aim of the conference is

Ethnoedaphology as an Integrating Process between Academy and Peasant Knowledge in the Productive System of Coffee (Coffea arabica L.) of Southwestern Colombia

Community knowledge about agricultural land and its management constitutes a complex system of wisdom, with universal principles and categories similar or complementary to those used by modern soil science. However, soil management is only recognized from the point of view of agronomy and academia, covering problems in rural areas at the time of adopting agricultural alternatives. For this reason, peasant knowledge was characterized and related to scientific knowledge, in the valuation of land properties in the coffee (Coffea arabica L.) production system. The study was carried out in four villages in the municipality of Buesaco (Nari?o, Colombia), with humid pre-mountain forest conditions, an average temperature of 18?C, annual rainfall of 1400 mm, and an altitude of 1959 m. The study was carried out in the municipality of Buesaco (Nari?o, Colombia). Through field visits, priority was given to farms with coffee production systems under different types of shade. A semi-structured survey was applied to learn about the social, environmental, productive, ancestral, and cultural components, with the application of participatory methodologies allowed to learn about traditional management and practices in the soil component. The results allowed us to identify four types of production systems from coffee without shade to coffee in association with different multipurpose woody perennials and mosses. Diverse dynamics of crop and land management are presented. Several references were found to differentiate land types such as color, texture, production and fertility, being characteristics that are associated to classify soil quality and make management decisions and type of fertilization. Through the perception of the farmers, six land classes with different characteristics were identified, relating the characterization with what was obtained in the chemical analysis of lands. It can be concluded that the perception of coffee growers, dark shades in the land representing better quality than light shaded soils, both associated with characteristics such as quantity of organic matter, presence of weeds, growth and development of the crop, perceptions that coincide with the variables of scientific knowledge such as availability of nutrients, organic matter, pH and texture.

Research on Career Identity in China:A Literature Review

Career identity is one of the important topics to study the psychological problems of employees,especially after the outbreak of CoV-19.Being a populous country in the world,China has a large number of employees from all walks of life,and its research on career identity has attracted more and more attention.Thus,this study aims to sort out the history,characteristics,and trends of the research on career identity in China through a literature review,which can help more scholars pay attention to China’s career identity research.In this study,Citespace is used to statistically analyze the selected literature from China’s National Knowledge Infrastructure(CNKI)and Web of Science(WOS).The results show that:(1)The historical evolution of career identity research in China can be divided into three stages:germination,development and maturity.(2)From the perspective of cooperation between authors and institutions,researchers tend to do independent research,mainly focusing on the research in the field of psychology.(3)From the key words,career identity and employability are the main high-frequency words.(4)From the cluster analysis,the research focuses mainly include social support,teachers’career identity,influencing factors,and job involvement.(5)From the emergent analysis,it can be seen that the research on roles and differences between urban and rural areas is weakening,and the research on factors such as job satisfaction is gradually strengthening as the frontier theme.Finally,according to the existing analysis results,this study predicts the future trend of career identity in China and thinks that it will extend from the fields of concept explanation,interdisciplinary research,scientific research tools,and so on.

Analysis of Visualization Mapping in the Field of Brand Community Based on Cite Space Ⅲ

Taking 887 relevant papers in the Web of Science database as the analysis object,and with the help of Citespace III software developed by Chen Chaomei s team,this study makes a visual mapping analysis of the brand community field from the perspective of research hotspots,cooperation between countries(regions)and institutions,and co-citation networks.The study has found that research hotspots in this field focus on brand community,community,consumer,internet,model,loyalty,word-of-mouth,impact and trust.The United States has absolute strength in leading the research frontier of this field,and the degree of cooperation within the country is higher than that of international cooperation.The core papers in this field were published in from authoritative journals in the field of management.Through the analysis of the core papers,readers can further understand the development context of the brand community field.

Information visualization analysis on Advances in Psychological Science:1983-2014

Objective： To describe the revolution and research status of Advances in Psychological Science. Methods： A total of 3060 articles published in Advances in Psychological Science from 1983 to 2014 were analyzed with the information visualization method using Citespace software from the aspects of pub- lications, cited frequency and downloads, funding, organizations, authors and keywords. Results： The results showed that the amount of literature published annually had an upward tendency, and 49.4% of the papers were supported by national or provincial projects. Institutions such as the Chinese Academy of Sciences （CAS） and the normal universities were rated in the forefront of the sci- entific research output. Xiting Huang, Hong Li and Yuejia Luo were at the top of the list of prolific authors. Conclusions： A new pattern of cooperative development of the theory and application in the field of psychological research is forming.

A bibliometric study of the Journal of School Health:1965-2014

Background：As an important international journal in the field of school health,the Journal of School Health has drawn wide attention from researchers and readers around the world.Therefore,it is important to conduct a systematic retrospective study of the journal.With the aim of understanding the development of the journal and the evolutionary process of cooperative study of this field comprehensively,we employed bibliometric analysis using the articles published in the Journal of School Health from 1965.Methods：Using bibliometrics,5242 articles published in the journal were extracted and then analyzed using the visualization software CiteSpace Ⅲ.Results：The annual published amount of literature showed a declining tendency;however,the frequency of citation displayed an increase year by year.Among prolific authors,the number of reports published by JH Price,L Kann and RJ McDermott are at the top.Among the high frequency keywords used in the research journal, ＂adolescents＂, ＂children＂ and ＂programs＂ have become popular in the journal＇s vocabulary.CDCP,Univ Texas and Univ Calif are positioned in the forefront of the involved institutions when ranked by degree of contribution.Conclusions：The Journal of School Health provides an important platform for sharing research achievements and promoting cooperation in this field.The amount of articles published in the journal is continually improving;its cooperative research network promoted by famous scholars and institutions is forming.As more researchers and institutions join,the network will grow and relationships will become increasingly close.However,limitations to cooperation at the regional or interagency scope remain.

Design and implementation of the STKOS quality-control system

Purpose: The aim of this study is to develop and implement a quality-control system to ensure authority control of the different knowledge units for the Scientific & Technological Knowledge Organization Systems(STKOS).Design/methodology/approach: First, we analyzed quality-control requirements based on the construction of the STKOS Metathesaurus. Then we designed a quality-control framework, the task management and transfer mechanism, and a service model. Afterwards, we carried out the experiments to check the rules and algorithms used in the system. Finally, the system was developed, and gradually optimized during its service.Findings: The quality-control system supports collaborative knowledge construction, as well as consistency checks of knowledge units with different granularity levels, including terminologies, relationships, and concepts. The system can be flexibly configured.Research limitations: The system is oriented to an English-language knowledge organization system, and may not perform well with Chinese-language systems and ontologies.Practical implications: The system can be used to support the construction of a single knowledge organization system, as well as data warehousing and interoperable knowledge organization systems. Originality/value: The STKOS quality-control system not only focuses on content building for the knowledge system, but also supports collaborative task management.

Benchmarks for Pirá2.0,a Reading Comprehension Dataset about the Ocean,the Brazilian Coast,and Climate Change

Piráis a reading comprehension dataset focused on the ocean,the Brazilian coast,and climate change,built from a collection of scientific abstracts and reports on these topics.This dataset represents a versatile language resource,particularly useful for testing the ability of current machine learning models to acquire expert scientific knowledge.Despite its potential,a detailed set of baselines has not yet been developed for Pirá.By creating these baselines,researchers can more easily utilize Piráas a resource for testing machine learning models across a wide range of question answering tasks.In this paper,we define six benchmarks over the Pirádataset,covering closed generative question answering,machine reading comprehension,information retrieval,open question answering,answer triggering,and multiple choice question answering.As part of this effort,we have also produced a curated version of the original dataset,where we fixed a number of grammar issues,repetitions,and other shortcomings.Furthermore,the dataset has been extended in several new directions,so as to face the aforementioned benchmarks:translation of supporting texts from English into Portuguese,classification labels for answerability,automatic paraphrases of questions and answers,and multiple choice candidates.The results described in this paper provide several points of reference for researchers interested in exploring the challenges provided by the Pirádataset.