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Open AccessArticles
by Wanning Li
2026,8(3);
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Abstract
Finance serves as the lifeblood of a national economy, and supporting the real economy constitutes
the fundamental mission of the financial sector. A thriving real economy is a core driver of national
competitiveness. This paper first elaborates on the necessity of the financial system serving the real
economy, then analyzes prominent bottlenecks restricting effective financial support for the real economy
in China. On this basis, it proposes systematic optimization strategies for the financial system to back the
real economy, so as to facilitate high-quality development of the real economy.
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Open AccessArticles
by Yuqing Zhang
2026,8(3);
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Abstract
Taking 32 communities in Chancheng District, Foshan City as the research object, this paper
employs documentary analysis, field surveys, and questionnaire surveys to conduct a matching analysis
between eight categories of public service facilities and the needs of the elderly. Chancheng faces both deep
local aging and emerging demand for elderly care services driven by cultural tourism. The study identifies
three major supply-demand mismatches: The dual deficiency in quantity and quality of medical and health
facilities, the sparse distribution of elderly care facilities, and the spatial accessibility gap between the
old town and peripheral areas. Two additional dimensions—Digital divide and the absence of tourism
information services—Are identified. This paper proposes optimization pathways along three dimensions:
Hierarchical layout, differentiated configuration standards, and socialized operation.
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Open AccessArticles
by MORUOLING , Jae EunChoi
2026,8(3);
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Abstract
This review synthesizes studies examining evidence-based nursing (EBN) competence among
Chinese nurses. Chinese nurses demonstrate moderate to low competence, with deficits in evidence
appraisal and application. Individual factors (education, training), organizational factors (hospital level,
climate), and self-efficacy collectively shape competence. Self-efficacy mediates organizational support
effects. Barriers include time constraints, limited resources, and inadequate support. This review proposes a
framework linking support, self-efficacy, and EBN competence.
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Open AccessArticles
by Xu Li, Seungjin Lee
2026,8(3);
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Abstract
To explore the internal mediating mechanism through which parental rearing affects junior high
school students' mental health in digital contexts, questionnaires were distributed to 500 students, with
470 valid responses collected. Scales measuring parental rearing, self-control and mental health were
adopted for measurement. The results show that positive rearing significantly alleviates depression, anxiety
and other psychological disturbances, while negative rearing exacerbates maladjustment problems. Self-control partially mediates the relationship between parental rearing and adolescents' mental health. Online
exposure amplifies this mediating effect: High self-control buffers psychological losses caused by negative
online information, whereas negative parenting continuously depletes self-control resources and triggers
multiple psychological issues among teenagers. This study provides empirical evidence for psychological
intervention in digital family education.
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Open AccessArticles
by Mengxue Yang
2026,8(3);
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Abstract
Driven by emerging engineering education construction and engineering education certification,
traditional experimental teaching of civil engineering materials faces prominent problems, including
outdated teaching content, dominant confirmatory experiments, rigid teaching modes, single assessment
mechanisms, and insufficient integration of cutting-edge technologies and moral education. These
shortcomings fail to meet the industry demand for innovative and high-quality civil engineering talents
under green, intelligent, and industrial transformation. Based on the Outcome-Based Education (OBE)
concept, this study proposes a systematic teaching reform framework covering hierarchical content
optimization, online-offline blended teaching, whole-process diversified assessment, in-depth curriculum
ideological and political integration, and open laboratory and production-education integration. Comparative
teaching practice indicates that the reform significantly improves students' practical operation ability,
innovative thinking, and comprehensive engineering literacy, thereby promoting overall teaching quality.
The findings can provide practical and theoretical references for the experimental teaching optimization of
civil engineering majors in local universities.
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Open AccessArticles
by Long Zhao
2026,8(3);
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Abstract
The two major bases in Inner Mongolia (the national important energy and strategic resource
base, and the national important agricultural and livestock product production base) are the core strategic
pivots for ensuring national energy and food security, and place new demands on computer talents who
must combine technical capability with patriotism and national responsibility. Currently, there is a
structural mismatch between computer science education and regional needs, and an apparent separation
between ideological-political education and professional technical training. Based on the theory of serving
regional strategies, this study constructs an analytical framework of 'strategic anchoring – curriculum
reconstruction – practice transformation' and designs an integrated path of 'strategy – curriculum – project
– competition'. Empirical evidence shows that transforming macro strategies such as energy security
and rural revitalization into teaching cases and practical projects can achieve precise alignment between
industry needs and educational goals, thereby enhancing students' technical skills and social responsibility
awareness.
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Open AccessArticles
by Yubao Chu
2026,8(3);
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Abstract
The production and rehearsal of stage plays are characterized by long cycles, complex tasks,
and a high degree of teamwork, making them a natural testing ground for project-based student backbone
development. Current cultivation of student backbones in higher education faces three significant practical
dilemmas: "Lying-flat" (perfunctory) performance, "hollow" identification with organizational values,
and "fragile" stress tolerance. This study takes the original stage play Soul of the Dongjiang River from
Shenzhen Polytechnic University as a case study. It systematically analyzes the application mechanism of
its full-chain educational model—Integrating "scriptwriting, creation, performance, learning, and action"—
In cultivating student backbones. The findings indicate that stage play project management is notably
effective in overcoming "lying-flat" attitudes, strengthening value identification, and enhancing stress
resilience, thereby offering a replicable and innovative pathway for student backbone development in
higher education.
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Open AccessArticles
by Mingxin Li
2026,8(3);
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Abstract
Smart tourism development imposes new competency requirements for applied computer
science talents. Private undergraduate colleges, as applied talent trainers, play a key role in supplying
regional digital cultural-tourism professionals. However, traditional computer science training suffers
from homogeneous objectives, curriculum disconnection from industry, and shallow industry-education
integration. Taking Changchun University of Tourism as a case, this paper, based on OBE, constructs a
"technology + industry" cross-integrated training model across six dimensions: Objectives, curriculum,
teaching, practice platforms, evaluation, and faculty. Phased reforms show initial success in strengthening
technical foundations and cultural-tourism application abilities, offering a reference for differentiated
development of computer majors in private colleges.
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Open AccessArticles
by Xiaomei Zhao
2026,8(3);
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Abstract
With the rapid development of cross-border e-commerce in globalization and the digital economy,
cross-border e-commerce comprehensive pilot zones have become a key platform affecting China's foreign
trade transformation and upgrading as well as the supply chain resilience of enterprises. Based on the
full sample data of Chinese enterprises from 2010 to 2024, this study adopts a quasi-natural experiment
method to explore the mechanism of comprehensive pilot zone policies on corporate supply chain
resilience. The results show that the comprehensive pilot zone policies significantly improve enterprises'
risk resistance capacity and supply chain response speed by optimizing supply chain resource allocation,
thereby enhancing supply chain resilience. The mechanism is reflected in promoting the diversification of
supply chain structure, improving the stability of supply relationships and the accuracy of supply-demand
matching, affecting supply chain resilience from both security and efficiency dimensions. Heterogeneity
analysis indicates that non-state-owned enterprises, high-tech industries, and small and medium-sized
enterprises benefit more from the improvement of supply chain resilience, and the policy effect is more
prominent in regions with poor digital infrastructure. This study not only provides a theoretical basis
for the optimization and implementation of comprehensive pilot zone policies, but also offers practical
implications for enterprises to enhance supply chain resilience and risk resistance capacity in future
industrial transformation.
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Open AccessArticles
by Zhiqi Liu
2026,8(3);
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Abstract
Using the 2014-2023 dataset from the National Bureau of Statistics of China, this paper studies
the influence of economic factors on the quality of life. Although there are some previous studies, the
collective impact of additional economic factors, such as tax revenue, year-end total population, and the
economic environment, on the level of life quality has not been studied. Based on the above reasons, we
will construct linear regression models to investigate how these economic factors affect people's quality of
life. To make sure that the dataset is accurate and complete, we have conducted online research to obtain
the missing data for 2023. The models we have developed show that the economic environment and GDP
jointly affect residents' disposable income, and GDP is positively correlated with per capita consumption
expenditure. The study also found that taxes, population size and the economy all affect the amount of
energy used per person.
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Open AccessArticles
by Yuan Kang, M. KazemChamran
2026,8(3);
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Abstract
This study evaluates a convolutional neural network-k-nearest neighbors (CNN-KNN) co-learning model for adaptive student learning evaluation in higher education. A one-dimensional CNN learns
a latent representation, while distance-weighted KNN corrects low-confidence cases through a validation-selected gate. Experiments use the public Predict Students' Dropout and Academic Success dataset with
4,424 student records and 36 demographic, socioeconomic, macroeconomic, and academic variables.
Three evidence stages are considered: Enrollment, end of Semester 1, and end of Semester 2. Across three
stratified splits, the full-stage CNN-KNN achieved 0.740 ± 0.023 accuracy and 0.691 ± 0.017 macro-F1.
Accuracy was slightly above standalone CNN (0.737) and clearly above raw KNN (0.691), although
Random Forest remained strongest (0.769 accuracy; 0.708 macro-F1). Accuracy increased from 0.577 at
enrollment to 0.721 after Semester 1 and 0.740 after Semester 2. The hybrid is therefore better viewed as a
selective, stability-oriented decision-support layer than as a universally superior classifier, while the staged
design supports better-timed academic advising and student-support allocation.
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Open AccessArticles
by Xinzhu Zhang
2026,8(3);
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Abstract
Opportunity to learn (OTL) is often introduced through curriculum policy, but students meet
it in a more practical form: The mathematics topics their teacher covers and the time set aside for those
topics. This paper examines how these two classroom indicators are related to Grade 8 mathematics
achievement in TIMSS 2023. Public-use student, mathematics-teacher, and student-teacher linkage
files were brought together for the 47 education systems that supplied all three files. The final analytic
sample contained 112,827 complete student-mathematics-teacher links, representing 111,954 individual
students in 46 systems and 8,259 schools. Mathematics achievement was represented by five TIMSS
plausible values. Content coverage was calculated as the mean percentage of students taught number,
algebra, geometry/measurement, and data/probability topics. Instructional time was the teacher-reported
number of mathematics hours per week. The weighted least-squares models adjusted for home educational
resources, student sex, and education-system fixed effects. Each system received the same total analytic
weight. Estimates were first calculated for each of the five plausible values and were then combined with
Rubin's rules; standard errors were clustered by school. Average coverage was 79.67%, while mean weekly
mathematics time was 3.87 hours. A one-standard-deviation increase in composite content coverage (16.27
percentage points) was associated with a 4.06-point higher mathematics score (SE = 1.06, p
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Open AccessArticles
by Qiying Chang
2026,8(3);
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Abstract
In the tide of digitalization, competition among various industries has shifted from product and
price competition to competition for customers and service levels. High quality customer resources and
good customer relationships are important guarantees for the survival and development of enterprises.
Traditional customer relationship management relies on manual or simple digital tools for operation.
When faced with a large amount of multi-channel and rapidly changing customer information, it lacks
the ability to meet current problems such as slow customer data processing speed, insufficient customer
value discovery, and similar services, which affects the level of customer management in enterprises. With
the development of artificial intelligence, intelligent data analysis, automated information processing,
personalized service recommendations and other applications are gradually being applied in enterprise
management, achieving a breakthrough in customer relationship management. More and more enterprises
are promoting the combination of customer relationship management and artificial intelligence information
systems to improve customer service, solve traditional management problems, and retain customers and
enhance their competitiveness in the fiercely competitive market environment.
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Open AccessArticles
Digital transformation, environmental regulations, and green innovation in manufacturing enterprises
by Ni Qiao
2026,8(3);
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Abstract
Against China's "Dual Carbon" goals, digital transformation acts as a critical driver for corporate
green innovation. Using panel data of A-share listed manufacturing firms from 2012 to 2023, this paper
investigates how digital transformation affects green innovation and tests the moderating role of two
types of environmental regulations. The results indicate that digital transformation significantly promotes
enterprise green innovation. Both ex-ante guidance oriented and ex post penalty oriented environmental
regulations positively moderate the above relationship. Such promotion effect is stronger for high-growth,
non-heavily-polluting and high-tech enterprises. This study provides theoretical basis for governments
to formulate differentiated digital and environmental policies and offers references for enterprises to
implement targeted green-innovation practices.
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Open AccessArticles
by Xiaoding Tao
2026,8(3);
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Abstract
Do new quality agricultural productive forces actually move the needle on grain production
efficiency in China? The old input-heavy growth model has run its course. We tackle this with panel data on
30 regions (2014–2022) and a DML estimator. The composite index lifts both land and labor productivity
at 1% significance. Substantive pieces (labor, land, capital) and permeating ones (technology, data)
complement, not crowd out. Three channels carry the load — Technological progress, resource reallocation,
industrial upgrading. Effects hit hardest in major producing and balance areas, western provinces, and
medium-development regions; high-level regions show diminishing returns. IV correction and swapping
the learner leave the story unchanged.
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Open AccessArticles
by Xinchen An
2026,8(3);
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Abstract
Resilience, as a key ability for employees to cope with stress, has attracted widespread attention
from academia and industry. Although existing research confirms that AI use affects employee resilience,
most approach it from a technical perspective, and the complex relationship between the two has yet to
be deeply revealed. Based on psychological ownership theory and using questionnaire surveys, this paper
explores the impact and mechanisms of AI use on employee resilience. Survey results show that AI use
positively affects employee resilience; The relationship between AI use and employee resilience is mediated
by Job Psychological Ownership. This study not only enriches theoretical research on the relationship
between AI use and employee resilience, but also provides practical insights for managers and employees
in intelligent workplaces.
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Open AccessArticles
by Siyu He, Md.
2026,8(3);
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Abstract
With the spread of digital technology and changes in people's cultural consumption in recent
years, many museums and other cultural institutions have begun to integrate new media in their work. The
Palace Museum is the object of research in this paper, and a theoretical system for new-media marketing
model innovation, consumer appeal and consumer satisfaction has been established. The four directions of
new media marketing innovation are content, visuals, interaction and culture-creative IP. Questionnaires
and Structural Equation Models (SEM) will be used for empirical verification. Based on the above results,
all four dimensions of innovation are positively associated with consumer attraction. Consumer appeal
thus increases satisfaction and serves as a partial mediator between marketing-model innovation and
satisfaction. The empirical results provide a reference for modifying the new-media marketing plan of the
cultural-museum institution.
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