Research Content Research Articles

Knowledge Element Relationship and Value Co-Creation in the Innovation Ecosystem

In the era of Innovation 3.0, more and more enterprises are working together to build an innovation ecosystem to achieve value creation. The various participants in the innovation ecosystem promote resource aggregation and integration through cross boundary collaboration, jointly creating the value of the ecosystem. Value co-creation has become the core goal pursued by the participants in the innovation ecosystem. As an innovative participant in the innovation ecosystem, it is particularly necessary for enterprises to explore the formation mechanism of value co-creation from the perspective of enterprise knowledge characteristics. This article analyzes the value co-creation mechanism of innovation ecosystems from the perspective of including internal knowledge bases and external relationships. Based on the dimension of knowledge element relationships, a theoretical model is constructed to investigate the impact of enterprise knowledge element relationships on value co-creation in innovation ecosystems and explore the mediating role of knowledge synergy and the moderating role of innovation ecosystem normativity. The relationships are modeled based on survey data collected from 427 Chinese companies, and multiple regression analysis and bootstrap methods are used to empirically test the hypotheses. The research results show that different dimensions of knowledge element relationships have different impacts on value co-creation. Knowledge element substitution negatively affects value co-creation, while knowledge combination diversity positively affects value co-creation. However, there is an inverted U-shaped relationship between knowledge element complementarity and value co-creation. Knowledge synergy partially mediates the relationship between knowledge element relationships and value co-creation, and innovation ecosystem normativity has a two-stage moderating effect on the path from knowledge element relationships to knowledge synergy to value co-creation. This article enriches the research content of knowledge management in innovation ecosystems, guides enterprises in the innovation ecosystem to reasonably construct their own knowledge systems, and promotes the formation of innovation ecosystem norms, thus promoting the development of value co-creation activities.

Investigation on work hardening rate of Al-Zn-Mg-Cu alloy under solid solution process and thermomechanical coupled multi-step fast aging process

In this paper, the work hardening rate of Al-Zn-Mg-Cu alloy in the conditions of solid solution and thermo-mechanical coupled fast aging were investigated separately, and the main research content and results are as follows. Under the solid solution processes at different temperatures, the uniaxial tensile test curves of work hardening rate are relatively dispersed at a lower strain rate, and the work hardening rate increases with the increase of solution temperature. Then, as the strain rate increasing, the work hardening rate curves at each solution temperature gradually converge, until all curves intersect at a common intersection point. The above mechanism is attributed to the comprehensive effect of precipitates, solid solutions, and dynamic strain aging in the matrix. For the thermo-mechanical coupled aging, the work hardening rate has a great different with that of solid solution process. Consequently, the influence of pre-deformation on the work hardening rate were investigated, which concludes the curve shape type and the softening coefficient. The introduction of dislocation have some significant influences on the work hardening rate. Firstly, it makes the shape of work hardening rate curves change from shape 1 to shape 2. On the other hand, as the pre-deformation increasing, the variation law of softening coefficient shows an abnormal trend that is different from the ordinary law, which is due to the coordinated effect between dislocation density and dislocation induced precipitation. Furthermore, in order to reveal the internal mechanism in depth, the microstructure are observed by TEM (Transmission electron microscope). Finally, a targeted set of analytical models for work hardening rate were established, especially the mathematical explanation of the multicollinearity phenomenon of work hardening rate curves in the solid solution condition.

Thermodynamic modeling and performance optimization of transcritical CO2 dual-evaporator refrigeration system enhanced with ejectors

The utilization of ejectors in transcritical CO2 refrigeration systems is known to enhance system performance significantly. However, the operational conditions play a crucial role in determining the system’s overall efficiency. This study introduces a thermodynamic model for transcritical CO2 ejector refrigeration systems and investigates the influence of operating conditions on system performance for four different refrigeration systems, and the optimization of the Nakagawa sound velocity model coefficient in the ejector modeling is carried out to enhance the accuracy of the model. Meanwhile, these research contents are also the innovation of the research. Key conclusions include: (1) Increasing the Nakagawa coefficient to 1.1 improves model accuracy. (2) Ejector inclusion enhances system COP, with one configuration showing a 43.36 % increase and another a 53.23 % increase, recommending different system setups for large spaces like supermarkets and smaller areas like refrigerated vehicles. (3) Higher evaporating pressures result in better COP for ejector systems, with a suggested maximum air cooler pressure of 9 MPa. COP also benefits from increased ejector outlet pressures. (4) AR (area ratio) of the ejector affects mass flow rates and cooling capacity significantly, while its impact on COP is minimal. Adjusting the primary throat area can control cooling capacity for varied needs. The study provides actionable insights for improving the design and efficiency of transcritical CO2 ejector refrigeration systems.

How Much Have We Learned about Consumer Research? A Meta-Meta-Analysis

Abstract This meta-meta-analysis study quantifies the development of scientific knowledge in consumer research by summarizing the findings of 222 meta-analyses that together include 2481 meta-analytic effect sizes. The results provide an overview of how much we know and how knowledge has developed in consumer research over time. By explaining 7.8% variance (r = 0.28) in consumer-relevant dependent variables, the findings show that consumer research, a comparatively young discipline, is relatively effective at knowledge development compared to other disciplines. Furthermore, the accumulation of knowledge is significantly increasing, suggesting that our discipline is still in the growing phase of its life cycle and generating continuously improving explanations of consumer-related phenomena. The development of knowledge varies across consumer-relevant dependent variables, with strong explanations for relationships but significantly weaker ones for memory, affect, and attitudes. Moreover, the knowledge synthesized in meta-analyses is fairly—though not fully—representative of the content of primary research on consumers overall. The findings convey a future research agenda by identifying under-researched areas, advising on the selection of dependent variables, providing indicators for the expected contributions of future studies, suggesting implications for career strategies of consumer researchers, and discussing explanations for the observed knowledge growth effects.

코리안 디아스포라, 고려인 주제의 실천적 다문화 역사학습의 실제

Objectives This study has an autobiographical character as it is a study that looks back and reflects on ‘my’ class based on my experience at K Elementary School. In the process of research and practice, I continuously tried to reflect the contextual characteristics of the school and region. I recognized the characteristics of the village's mul-ticultural situation, the current status of K Elementary School, the situation faced by Koryoin students, the diffi-culties in communication between Korean and Koryoin students, and the difficulties that fellow teachers face in teaching Koryoin students. Based on this awareness, we designed and implemented a practical multicultural his-tory class for solidarity and togetherness beyond discrimination. Methods First, the topic of forced migration of Koryo people, a minority history, was reviewed from the per-spective of memory and forgetting, and the direction of practical multicultural history education was set through analysis of multicultural education theory and curriculum. Next, I designed and implemented a practical multi-cultural history class on the topic of forced migration of Koryo people and analyzed the process and results. Results The analysis and implications are that, first, the memory of the forced migration of Goryeo people, a for-gotten minority history, was discovered and recalled. Second, it is the acquisition of multicultural com-petency(cultivation of multicultural cultural literacy) based on empathy and interculturalism beyond the assim-ilationist perspective. Third, they had participation and practical experience for solidarity and companionship. Fourth, I looked back on what kind of multicultural teacher I am as a teacher who practices multicultural education. Conclusions The implications of the study are that, in terms of research methods, history classes were autobio-graphically reflected and analyzed based on personal memory data and accumulated cultural artifacts (research notes, student output, photos, videos, etc.). Through this, teachers in the field will be able to understand the de-sign and execution aspects of history classes in detail and use it as a reference for their own class practice research. Next, in terms of research content, history education was practiced with the theme of multiculturalism. Because I recognized the limitations of traditional history education and designed and implemented practical mul-ticultural classes by reflecting the contextual uniqueness of local communities and school, it can be a meaningful reference for schools in multicultural situations. Lastly, the focus on the history of minorities, the Koryo people and forced migration of Koryo people, can be a good example of migration history education.

Well-posedness of stochastic multi-weighted complex networks with regime-switching diffusions

In this paper, a stochastic multi-weighted complex network with regime-switching diffusions (SMCNRSD) is considered. Here, the jump and the diffusion processes are interdependent, which generalizes the most existing network model. In the study of stochastic multi-weighted complex networks, stability analysis is an important topic. But so far, some work on stability requires stochastic multi-weighted complex networks to satisfy the global linear growth condition, which cannot be applied to some high-order or nonlinear networks. Therefore, one of the research contents of this study is to obtain the global existence and uniqueness of SMCNRSD under local conditions. Besides, the SMCNRSD usually does not stabilize spontaneously for reasons such as stochastic disturbance, multiple weights and nonlinear coupling. To stabilize SMCNRSD, periodic intermittent control is introduced to obtain the stability criterion. In application, stochastic multi-weighted Chua’s circuits with regime-switching diffusions are taken into account. The corresponding existence and uniqueness as well as stability criteria are given under local conditions. To further illustrate the validity of theoretical results, numerical simulations are given.

Numerical simulation and morphological analysis of laser cladded 316L stainless steel on inclined substrates

Laser cladding has been mostly studied based on the horizontal substrate state, but the component surface to be repaired is often complex in actual restoration process. Inclined substrate repair is the basis for studying complex surface repair. In this study, 316L stainless steel powder was taken as the research object. The simulation and experimental verification combined method was adopted to study the morphology of single-track and multi-track overlap on the inclined substrate. The main research contents were as follows: Through the simulation model, the molten pool flow and final cladding layer morphology under different scanning paths of laser cladding on the inclined substrate were analyzed. The results showed that when the inclination angle was less than 90°, the change of the cladding layer morphology had regularity. When the inclination angle was greater than 90°, splashing and dripping occurred in the molten pool under several scanning paths, and the cladding layer morphology was highly unstable. Excessively large inclination angle was not suitable for coaxial powder feeding. Neither positive nor negative y-direction scanning overlap cladding layer was horizontal under inclined posture. The cladding layer morphology with x-positive scanning and y-negative overlap was the most stable. An inclined cladding model considering the inclination factor was established in this study, which provided theoretical guidance and predictive analysis for laser cladding on the inclined substrate. Contributions were made to process optimization, path optimization and improvement of cladding layer quality for inclined substrate cladding in the future.

Analysis of the influence of assembly deviation and repeated assembly on sealing performance of detachable aviation pipe joint

Detachable pipe joints are an important component of aviation hydraulic systems, and their sealing performance is related to the safety and reliability of the entire machine. This paper focuses on the impact of assembly deviation and repeated assembly on the sealing performance of 35 MPa aviation pipe joints. The sealing performance of pipe joints was quantitatively evaluated using the sealing contact strength theory, and the influence of assembly deviation on sealing performance was studied using the finite element method. Designed a repeated tightening test device for pipe joints and conducted repeated tightening tests. A method for analyzing the initial loss of axial force, usage loss, and friction torque during repeated tightening of pipe joints has been established. Finally, combining experimental data and simulation calculations, the influence of repeated tightening on the sealing contact strength was analyzed. This study provides an analysis method and influencing law for the sealing performance of 35 MPa level detachable aviation pipe joints under assembly deviation and repeated assembly. The research content can provide theoretical guidance for the assembly process design of pipe joints.

“Building Learning Power” (BLP) to Senior High School Students Towards Enhanced Learning Program

"Lifelong learning" is a global education theme. For a long time, the all-round development of students has been the focus of the global education system. How to enable students to achieve all-round development is the key to school talent training. It not only focuses on students' test scores, but also pays more attention to Students' ability to self-study and enjoy learning has become a theme of educational discussion in various countries. Based on Guy Claxton's "Building Learning Power" (BLP) theoretical basis, this article explores the correlation between teachers' teaching ability construction and students' learning ability development. It takes middle school teachers as the research object and selects all teachers from Guidian Middle School to use a questionnaire. Survey and data analysis are the main methods to study how teachers cultivate the four “R”s of BLP, resilience, resourcefulness, reflectiveness, and reciprocity in their students. First, the relevant literature, concepts and structural dimensions were reviewed, and teachers' classroom teaching variables were explained, including Lessons' content, "Soft creativity", Enhancing skills and Attitude development, and a theoretical analysis was conducted on students' practical abilities, namely the "4 R's". Secondly, based on literature research, relevant scales were proposed and revised to collect the data needed for this study. The tool used for the main research content is a questionnaire. The questionnaire consists of three parts. The first part contains the personal information of the interviewed teachers, such as gender, age, teaching experience, etc. The second part is the correlation between teachers’ classroom teaching practices and building learning abilities. Assessment, the third part is the assessment of the interviewed teachers’ understanding of building learning abilities. This study used SPSS22.0 to develop the questionnaire, and adopted reliability and validity analysis, correlation analysis, independent sample t test, Mann-Whitney U /Kruskal-Wallis test. Spearman’s rho Correlation Analysis and Decision Criteria. Finally, based on the "Building Learning Power" (BLP) theory, the influencing factors of teachers' classroom teaching practices on the development of students' learning abilities are discussed and summarized, and corresponding development strategies are proposed.

Research on Gas Multi-indicator Warning Method of Coal Mine Working Face Based on MOA-Transformer.

The gas emission from the coal mine working face is influenced by multiple factors, resulting in the real-time value, fluctuation, and trend changes of gas concentration being relatively independent and interrelated. This paper establishes a gas multi-indicator warning method that can comprehensively warn the status of real-time value, fluctuation, and trend changes of gas concentration from the working face. This paper proposes six basic indicators and includes two main research contents: intelligent threshold partition and gas multi-indicator warning. First, this paper proposes an intelligent threshold partition algorithm based on GF-KMeans (genetic fixed-centered K-means), which combines a genetic algorithm (GA) and an FC-KMeans (fixed-centered K-means) algorithm to dynamically partition the threshold range corresponding to the gas warning level. The GA solves the local optimal problem in the traditional K-Means algorithm, enhancing its stability and predictability. The FC-KMeans algorithm achieves a more precise control in the initial clustering center selection. Second, this paper researches a gas multi-indicator warning method based on a multihead optimal attention (MOA)-Transformer. By using the multihead optimization attention mechanism to represent classification features and utilizing Transformer's encoder structure to classify gas warning. The experimental result shows that the accuracy of the MOA-Transformer method is 86.17%, which is 3.45% higher than that of the Transformer method. The precision of the MOA-Transformer method is 88.78%, which is 3.75% higher than that of the Transformer method. The recall of the MOA-Transformer method is 85.23%, which is 4.70% higher than that of the Transformer method. The macro-F1 of the MOA-Transformer method is 86.96%, which is 4.39% higher than that of the Transformer method. The results fully demonstrate the superiority of the MOA-Transformer method in gas warning tasks.

FORMATION AND EVOLUTION OF THE THEORY OF REGIONAL ECONOMICS IN CHINA

FORMATION AND EVOLUTION OF THE THEORY OF REGIONAL ECONOMICS IN CHINA

Study on repeated discharge frequency characteristics of plasma pulse equipment

In order to increase the production of unconventional oil and gas, it is necessary to improve its reservoir. Plasma pulse technology is one of a safe and environmentally friendly reservoir reconstruction technology. In this paper, the discharge test of plasma pulse equipment was carried out in the laboratory. The different discharge stages (pre-discharge, main-discharge, sinusoidal attenuation oscillation and post-discharge stage) of plasma pulse equipment in a single discharge were discussed, and the frequency characteristics in the repeated discharge were studied in detail. The discharge test shows that the energy and average power of main-discharge stage are about 109 J and 15.6 MW respectively, and the discharge frequency range is about 0–25 Hz. Furthermore, the linear attenuation function model of breakdown voltage change under the initial discharge frequency of 4 Hz, 9 Hz, 14 Hz and 19 Hz is established, and the change law of breakdown voltage decreases linearly with the increase of discharge frequency is revealed. The results show that the research content of this paper has an important guiding significance for revealing the variation law of repeated discharge frequency characteristics of plasma pulse equipment, which is helpful to further optimize the design of plasma pulse equipment and improve its working performance.

Second-order citations in altmetrics: A case study analyzing the audiences of COVID-19 research in the news and on social media

Abstract The potential to capture the societal impact of research has been a driving motivation for the use and development of altmetrics. Yet, to date, altmetrics have largely failed to deliver on this potential because the primary audience that cites research on social media has been shown to be academics themselves. In response, our study investigates an extension of traditional altmetric approaches that goes beyond capturing direct mentions of research on social media. Using research articles from the first months of the COVID-19 pandemic as a case study, we demonstrate the value of measuring “second-order citations,” or social media mentions of news coverage of research. We find that a sample of these citations, published by just five media outlets, were shared and engaged with on social media twice as much as the research articles themselves. Moreover, first-order and second-order citations circulated among Twitter accounts and Facebook accounts that were largely distinct from each other. The differences in audiences and engagement patterns found in this case study provide strong evidence that investigating these second-order citations can be an effective way of observing overlooked audiences who engage with research content on social media.

A Visual Analysis of the Hotspots, Processes and Prospects of Digitalization Research on Rural Teachers in China over the Past 10 Years

Over the past decade, research on rural teachers' digitization in China has gradually become a hot social issue of great concern. Using CiteSpace to visualize and analyze the high-quality literature on rural teacher digitization-related research in the CNKI database in the past 10 years, the timeline shows a clear research trend during the decade, including three stages of sustained growth (2014-2019), a brief decline (2020), and a rapid rebound (2021-2024), which is in line with the changes in the national education tactic , the rural revitalization strategy, and the rise of online education in the wake of the COVID-19 epidemic and the global trend of digital transformation. The research power of rural teachers' digitalization is mainly concentrated in teacher training colleges and education academies, and the authors and research institutes are characterized by small concentration and large dispersion, and the cooperation network has not yet been widely formed. The three core themes of "rural teachers", "rural education" and "rural revitalization" are highlighted in the cited keywords, reflecting the close connection between the research content and national tactic and social needs. In light of the regional and special characteristics of rural education, research that is detached from the reality of the countryside and based on a single methodology will gradually change to a diversified research model based on the localized characteristics of the countryside.

Socio-ecological risk analysis framework coupled with ecosystem services

The strong coupling between society and ecosystem makes socio-ecological risks become the main object of risk management. As the link between ecological and social processes, ecosystem services (ESs) are the core variable in deconstructing the social-ecological risks and the crucial point in resolving the risks. We explored the concept and the internal formation mechanisms of socio-ecological risk combining ESs, and further put the cascade logic and evolution process of "real risk-risk perception-risk behavior". Based on driver-pressure-state-impact-response framework (DPSIR), we proposed a framework for analyzing socio-ecological risk, and expanded the content and methodology system of research and management practices related to socio-ecological risks. We proposed that socio-ecological risk research coupled with ESs should focus on: 1) exploring the transmission mechanism between ecosystem processes, ecosystem services, and human well-being; 2) exploring the response mechanism of social subject behavior and its impacts on ecosystem services and human well-being; 3) construction of a multi-scale assessment model for social ecological risks coupled with ESs. The socio-ecological risk analysis framework for coupled ecosystem services was based on the mutual feedback between human and nature to explore the logic of risk formation, evolution, and governance, which could provide ideas for clarifying the deep meaning of ecological problems and selecting pathways to resolve socio-ecological risks.

Research on coal gangue size calibration based on perspective correction-parameter calibration synergy

The size calibration of coal gangue can help to determine the size range of coal gangue, which has a great influence on the grabbing strategy of coal gangue in the process of coal gangue sorting. However, at present, the size calibration of coal gangue has not been effectively studied. Based on this, this paper innovatively proposes a gangue size calibration method based on perspective correction-parameter calibration. Firstly, a coal gangue image acquisition and processing system was built to collect coal gangue images and preprocess the images. Secondly, the size calibration system model is established, including mathematical model and operation model. Finally, the influence of different heights and tilt angles on the accuracy and stability of the size calibration results were compared. The results show that when the camera height and the coal gangue height are 600 mm and the camera is perpendicular to the ground, the calibration accuracy and stability are the best, and the accuracy rate is more than 97 %. The research content of this paper provides theoretical support for the accurate positioning and precise sorting of coal gangue in the process of belt transportation.

Preparation and performance of the non-platinum catalyst for oxygen reduction reaction in fuel cells

The oxygen reduction reaction (ORR) of the fuel cells is a core of energy conversion, whereas its kinetics is slow due to the limitation of the activation energy barrier, which dramatically limits the commercial development of fuel cells. At present, the main electrocatalyst for the cathode oxygen reduction reaction of fuel cells is the platinum (Pt)-based catalyst. Still, as a precious metal, Pt has a high price, low reserves, and poor stability. These shortcomings seriously affect the mass production and commercialization of fuel cells. Therefore, there is an urgent need for the development of fuel cells to study a low price, sufficient production, high stability, and pollution-free non-Pt catalyst. The main research content of this paper is to use biomass sycamore ball as a carbon source, mixed with ferric chloride (III) hexahydrate and melamine, and prepare the carbon, nitrogen, and iron co-doped ORR catalyst by high-temperature calcination under a nitrogen atmosphere. The physical characterization and electrochemical testing of the obtained samples were conducted at room temperature. The results showed that the pretreatment of sycamore ball powder to iron ratio of 1:3 had the best catalytic performance.

Who Authors Social Science? Demographics and the Production of Knowledge

Author demographics are of key epistemic importance in science—shaping the approaches to and contents of research—especially in social scientific knowledge production, yet we know very little about who produces social scientific publications. We fielded an original demographic survey of nearly 20,000 sociology, economics, and communication authors in the Web of Science from 2016–2020. Our results include not only details about gender and race/ethnicity but also the first descriptive statistics on social science authors’ sexuality, disability, parental education, and employment characteristics. We find authorship in the social sciences looks very different from other measures of disciplinary membership like who holds PhDs or faculty positions. For example, half of the authors in each discipline’s journals say that they are not a member of the discipline in which they published. Moreover, social science authors are considerably less diverse than other measures of disciplinary membership. In sociology, women constitute a majority of PhDs, faculty, and American Sociological Association members; by contrast, men make up a majority of sociology’s authors. Additionally, we include a wide array of descriptive statistics across a range of demographic characteristics, which will be of interest to inequality scholars, science scholars, and social scientists engaged in diversifying their disciplines.

Determine the location of acoustic emission source on wood surface by using a wavelet-energy attenuation method

ABSTRACT To determine the location of wood damage and fracture, an acoustic emission source localization method based on wavelet-energy attenuation law was proposed. High-speed acquisition equipment and LabVIEW software were used to design a three-channel AE signal acquisition system. The wavelet transform is used to decompose the original signals into five frequency levels, and the second, third, and fourth level were selected for reconstruction of the acoustic emission signal. Finally, the reconstructed signals was used to determine the location of the acoustic emission source in accordance with the energy attenuation law. The results indicated that when the distance between the three sensors were 100 and 200 mm, the average location error obtained using the original signals in accordance with the energy attenuation law was 12.6 and 18.4 mm, respectively. However, the average location error obtained using the reconstructed signals in accordance with the energy attenuation law was 2.2 and 6.9 mm, respectively. These results reveal that the proposed method can achieve high-precision localization of acoustic emission source. This research enrich and expand the content of AE technology and wooden building research, provide new ideas and methods for non-destructive testing of similar structures, and promote research progress in related fields..

Square Root Expressions and Irrational Numbers in Middle School Mathematics Textbooks Throughout the History of the Republic

Irrational numbers, a fundamental set that extends rational numbers to real numbers, have been a subject of limited study in the context of textbook analyses. This study, therefore, examines how square root expressions and irrational numbers have been addressed in middle school mathematics textbooks throughout the history of the Republic of Türkiye. The research was conducted using a comprehensive approach, with qualitative research methods and content analysis was applied to 37 mathematics textbooks (seven 5th grade, twelve 6th grade, nine 7th grade, and nine 8th grade) from 1932 to 2022. Data were collected from mathematics textbooks available at the Ferit Ragıp Tuncor Archive and Documentation Library affiliated with the Ministry of National Education. The results of this study indicate that changes in mathematics curricula are reflected in textbooks, and this reflection is directly influenced by the learning theory adopted in the curriculum. The study also provides insights into how irrational numbers are introduced in textbooks based on the sequence of topics, and recommendations are made based on the findings.