Scientific Innovation in Asia

When a disaster such as a flu pandemic occurs, humanity always comes to the fore, especially morality. In the past, the study of epidemic and moral motivation always started from the macro level, and few discussed the relationship between epidemic and moral motivation from the individual level. In order to explore the relationship between epidemic risk perception, epidemic cognition and moral motivation (Epidemic cognition refers to individual cognition and emotional expression of epidemic periodicity. The perception of epidemic risk is mainly an individual's judgment on whether he or she is susceptible to COVID-19 ). In this study, 496 college students were selected as research objects, and the self-compiled Epidemic Risk Perception Scale, the Epidemic Cognition Scale and the Moral Motivation Scale translated by Chinese scholars were used as research tools. SPSS23.0 was used to explore the structure and test the reliability and validity of the self-compiled Epidemic Risk Perception Scale. The collected data were processed by common method deviation test, descriptive statistical analysis, correlation analysis, regression analysis, mediation effect and other statistical methods. The results showed that the self-compiled epidemic risk Perception Scale had good reliability and validity. There was a significant positive correlation between epidemic risk perception and moral motivation, and a significant negative correlation between epidemic cognition and moral motivation. At the same time, the influence mechanism of the three factors was explored, and it was found that the epidemic risk perception could positively predict the moral motivation, while the masking effect appeared when the variable epidemic cognition was added.

In the modern steel rolling industry, rolls are crucial components for ensuring the efficient and stable operation of steel rolling equipment, and their service performance is of vital importance. However, the wear and thermal stress during operation lead to a high scrapping rate of rolls, making it urgent to seek effective surface strengthening techniques. In this paper, laser quenching and laser alloying techniques were used to treat the surface of roll samples. It was found that with the increase of laser energy density, the depth of the hardened layer increased (from 0.16 mm to 0.62 mm). When the laser energy density was 857.1 J/cm², the hardness of the hardened layer reached a peak value of 873 Hv, and the hardness curve was stable. When the laser energy density exceeded 900 J/cm²,although the hardness of the hardened layer was still high, microcracks appeared on the surface. To solve this problem, the laser alloying technique optimized the surface composition by introducing alloy powders such as WC and Cr. At a energy density 2500 J/cm²,the comprehensive performance was significantly improved: the depth of the hardened layer increased to 0.89 mm, the peak hardness increased to 937 Hv, and the hardness distribution was more uniform, while effectively suppressing crack defects.

As a crystallization of the deep integration of technology and agriculture, smart agriculture, with Internet of Things (IoT), artificial intelligence (AI), big data, and other core technologies, is vigorously reshaping traditional agricultural production models. From an accounting perspective, it has a profound impact on agricultural cost structure, resource allocation efficiency, and financial decision-making. This article adheres to the theory of "multi-terminal collaboration, intelligent control, and data empowerment" to deeply analyze smart agriculture. Traditional agriculture is constrained by issues such as population expansion, climate change, and labor shortage, resulting in severe resource waste and declining economic benefits. Smart agriculture emerged as a response to these challenges. In terms of core technologies, the collaborative application of IoT, AI, big data analysis, automation and robotics, and cloud computing technologies provides comprehensive perception, precise decision-making, and efficient execution for agricultural production. For example, in practical cases such as intelligent management of greenhouse facilities, smart agriculture significantly improves production efficiency, optimizes resource allocation, and brings considerable economic benefits. At the market level, the global smart agriculture market is growing rapidly, and the Chinese market holds great potential. Policy support, technological advancements, and cost reductions provide momentum for its development, but issues such as high initial investment, difficulties in technology promotion, data security risks, and talent shortages also increase financial risks and uncertainties. From an accounting perspective, smart agriculture faces challenges such as high technology promotion costs, lack of unified cost accounting and benefit evaluation standards, and long equipment investment return cycles. Therefore, it is necessary to strengthen policy support, improve the cost accounting and technical standard system, and enhance talent cultivation. Looking ahead, smart agriculture will develop towards intelligence, precision, industrial chain collaboration, and green sustainability, continuously improving agricultural economic benefits and financial performance, and providing solid financial support for agricultural modernization.

Corporate cohesion serves as the driving force behind business development, emerging as a strategic resource in modern enterprises. While enhancing management efficiency relies on institutional frameworks and technological tools, it fundamentally depends on fostering intrinsic collaboration among team members. As an intangible "soft power" within organizations, cohesion can accelerate decision implementation and optimize resource allocation, yet may create counterproductive constraints through excessive homogeneity. This paper elucidates the core concepts of cohesion and management efficiency, analyzes its multidimensional composition and operational mechanisms, examines its dynamic impact on management effectiveness, and proposes targeted improvement strategies. These insights provide theoretical references for optimizing management practices in contemporary enterprises.

As a treasure of China's outstanding traditional culture, calligraphy art has become a representative of Chinese national culture with its long history, rich cultural connotations, diverse expressive techniques, and unique artistic charm. Higher Normal Universities (hereinafter referred to as "HNUs") bear the mission of cultivating basic education teachers for the nation. Compared with other institutions, HNU calligraphy courses shoulder the dual responsibility of inheriting calligraphy culture and integrating moral education through cultural influence. Therefore, the objectives of HNU calligraphy education extend beyond disseminating artistic culture and skills, including fostering patriotic ideals, emphasizing character cultivation, tempering strong willpower, and promoting national culture through moral education. This paper primarily explores the integration of moral education in HNU calligraphy courses from the perspectives of artistic inheritance and ideological infiltration. By analyzing the content and implementation paths of moral education in HNU calligraphy curricula, it aims to uncover moral elements within these educational practices and explore new approaches for integrating ideological-political education into HNU calligraphy courses under current educational reforms.

Accurately predicting the Olympic medal count is crucial for national Olympic committees' decision-making as the Games become more international. This paper establishes a medal prediction model using historical data and machine learning, analyzing factors affecting medal distribution.DBO-LSTM-attention modeling based on historical data projects U.S. and Chinese dominance in 2028 gold and total medals, with China, Germany, and South Korea demonstrating improvement while Hungary and Austria decline.The model further predicts approximately 10 nations, predominantly developing economies, will achieve inaugural Olympic medals in 2028.Correlation analysis reveals a significant positive relationship between event quantity and medal attainment; the U.S. excels in swimming/athletics while China dominates table tennis, gymnastics, and diving. Host nations exhibit event-specific advantages, with event selection significantly influencing medal outcomes.Decision tree modeling with SHAP value analysis quantitatively confirms that elite coaching substantially enhances gold and total medal acquisition capabilities.In summary, this paper offers a scientific framework and decision support for predicting Olympic medals, optimizing coach resources, and allocating sports resources, providing valuable references for national sports committees and stakeholders.

Currently, artificial intelligence (AI) is developing rapidly, and related language service products have begun to be widely adopted in higher education institutions. These products have brought new opportunities for college English oral teaching and promoted the reform and innovation of teaching models. Beginning with an examination of the technological support that AI provides for oral English teaching in college, this paper combines relevant theoretical frameworks to explore its specific empowering manifestations in teaching practice. By analyzing the limitations and problems in the application process, corresponding optimization paths and development directions are proposed. This study aims to clarify the integration logic of artificial intelligence and oral English teaching in college, as well as provide theoretical reference for improving teaching quality and efficiency.

Objective To explore the specific effects of anemia on the growth and development of early children, and to compare and analyze the growth and development of children with different degrees of anemia. Methods Independent sample t test is used to analyze the difference of height and weight between children with mild, moderate and severe anemia and children without anemia. Results With the increase in the degree of anemia, the height and weight of children aged 8 and 12 months will decrease. There is no significant difference in height and weight between children with mild anemia and those without anemia, while the height and weight of children with moderate or severe anemia are significantly different from those without anemia. Conclusion: Anemia has a significant impact on children's growth and development, especially moderate or severe anemia has a more serious effect on children's development. The more severe the anemia , the lower the height and weight of children in the early stage compared with those without anemia. Based on the gradual improvement of children's health care development in China in recent years, children's health care practitioners should attach importance to education and intervention to correct anemia in early childhood and avoid growth and development disorders caused by anemia. Conclusions Anemia has a significant impact on early children's growth and development, especially the impact of moderate and higher anemia on children's development is more serious, the more severe the degree of anemia, the lower the height and weight of early children than children without anemia. Based on the gradual improvement of the development level of child health care in China in recent years, child health practitioners should pay attention to education and intervention to correct anemia in children and avoid growth and development obstacles caused by anemia.

ZnBi₃₈O₅₈ were successfully prepared by hydrothermal synthesis. The optical properties of ZnBi₃₈O₅₈ photocatalysts were investigated by X-ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). Then we measured the adsorption dye-degradation performance of rhodamine. The results exhibited that the photocatalytic degradation efficiency under 532 nm irradiation first increased then decreased with increasing PPy compounding, achieving achieving optimal performance at 15% compounding. The PPy was compounded on the surface of the ZnBi₃₈O₅₈ photocatalyst by in-situ oxidative polymerization, Further verified its successful compounding through XRD and SEM. Then the Degradation of rhodamine by PPy/ZnBi₃₈O₅₈ under 532 nm laser irradiation. The results showed that the compounding by PPy signifaicantly enhances its photocatalytic activity. It Provides a new idea for photocatalytic composite materials.

In the context of the reconstruction of the education governance system and the transformation of educational space, local undergraduate colleges and universities are faced with the problems of ineffective operation of the school-family-community collaborative education mechanism, closed spatial structure, and decentralized resource allocation. Based on the perspective of "spatial empowerment", this paper integrates educational ecology and collaborative governance theory, and proposes a three-dimensional coupling collaborative mechanism construction framework of "physical space-social space-institutional space". By analyzing the phenomenon of spatial coordination mismatch in local universities, a "three-level spatial grid" organizational structure, a "resource co-construction and sharing platform" and an "embedded communication mechanism" are constructed to explore an operational and scalable spatial collaborative education mechanism. The study shows that spatial reconstruction not only enhances the depth and collaborative efficiency of multi-subject participation, but also provides path support and institutional solutions for local universities to achieve modernization in education governance.