Problems and Strategies:A Case Study of Translation of the Introduction of Xianda College of Economics and Humanities,SISU

The present paper takes the English translation of the introduction of Xianda College of Economics and Humanities,SISU as an example to explore the translation problems of proper nouns and differences in English and Chinese language expressions in the construction of English introductions in Chinese institutions of higher education with the intention to propose corresponding solutions.It is hoped that this paper will provide some tips for the English translation of international publicity materials for other institutions of higher education.

Investigation of ＂Four-Two-Three＂ System of Individualization Fostering Model -Taking College of Economics and Management of Hebei University of Science and Technology as an Example

＂Four-Two-Three＂ training mode system, based on the social development needs of talent personalized, divides the training process of eight semesters in four years into ＂category training＂, ＂professional training＂ and ＂personalized training＂ and phased build talent training mode of ＂four disciplines platform ＋ two capability group lessons ＋ three development path＂. In this paper, we take College of Economics and Management, Hebei University of Science and Technology as an example, explained principles, fi＇amework and content, and measures of personnel training mode and other issues in details and made a smooth implementation of security mechanism in training mode.

Research on the Optimization Paths for Outstanding Agricultural Economics and Management Talents under the Background of Curriculum Ideology and Politics

The article aims to discuss how to cultivate outstanding agricultural economics and management talents to meet the needs of agricultural and rural economic development in the new era,within the context of ideological and political education.Through literature review and field research,a series of innovative talent training optimization paths are proposed,and specific suggestions are made for policymakers and educational practitioners.

The impact of demographic dynamics on food consumption and its environmental outcomes:Evidence from China

With increasing population and changing demographics,food consumption has experienced a significant transition in quantity and quality.However,a dearth of knowledge remains regarding its environmental impacts and how it responds to demographic dynamics,particularly in emerging economies like China.Using the two-stage Quadratic Almost Demand System(QUAIDS)model,this study empirically examines the impact of demographic dynamics on food consumption and its environmental outcomes based on the provincial data from 2000 to 2020 in China.Under various scenarios,according to changes in demographics,we extend our analysis to project the long-term trend of food consumption and its environmental impacts,including greenhouse gas(GHG)emissions,water footprint(WF),and land appropriation(LA).The results reveal that an increase in the proportion of senior people significantly decreases the consumption of grain and livestock meat and increases the consumption of poultry,egg,and aquatic products,particularly for urban residents.Moreover,an increase in the proportion of males in the population leads to higher consumption of poultry and aquatic products.Correspondingly,in the current scenario of an increased aging population and sex ratio,it is anticipated that GHG emissions,WF,and LA are likely to decrease by 1.37,2.52,and 3.56%,respectively.More importantly,in the scenario adhering to the standards of nutritional intake according to the Dietary Guidelines for Chinese Residents in 2022,GHG emissions,WF,and LA in urban areas would increase by 12.78,20.94,and 18.32%,respectively.Our findings suggest that changing demographics should be considered when designing policies to mitigate the diet-environment-health trilemma and achieve sustainable food consumption.

Spatiotemporal characteristics of cultivated land use eco-efficiency and its influencing factors in China from 2000 to 2020

Improving cultivated land use eco-efficiency(CLUE)can effectively promote agricultural sustainability,particularly in developing countries where CLUE is generally low.This study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit model.In addition,given the undesirable outputs of agricultural production,we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure(GB-US-SBM)model,which combines global benchmark technology,undesirable output,super efficiency,and slacks-based measure.The results indicated that there was an upward trend in CLUE in China from 2000 to 2020,with an increase rate of 2.62%.The temporal evolution of CLUE in China could be classified into three distinct stages:a period of fluctuating decrease(2000-2007),a phase of gradual increase(2008-2014),and a period of rapid growth(2015-2020).The major grain-producing areas(MPAs)had a lower CLUE than their counterparts,namely,non-major grain-production areas(non-MPAs).The spatial agglomeration effect followed a northeast-southwest strip distribution;and the movement path of barycentre revealed a"P"shape,with Luoyang City,Henan Province,as the centre.In terms of influencing factors of CLUE,investment in science and technology played the most vital role in improving CLUE,while irrigation index had the most negative effect.It should be noted that these two influencing factors had different impacts on MPAs and non-MPAs.Therefore,relevant departments should formulate policies to enhance the level of science and technology,improve irrigation condition,and promote sustainable utilization of cultivated land.

The impact of Internet access on household dietary quality:Evidence from rural China

Over the past few decades,the Internet has rapidly diffused across China.The spread of the Internet has had a profound economic and social impact on Chinese rural areas.Existing research shows that Internet access significantly impacts agricultural production and improves smallholder farmers’income.Beyond these,the Internet can affect other dimensions of social welfare.However,research about the impact of Internet access on dietary quality in rural China remains scarce.This study utilizes multi-period panel data from Fixed Observation Point in rural China from 2009 to 2015 to estimate the impact of Internet access on dietary quality and food consumption of rural households and conducts a causal analysis.Regression models with time and household fixed effects allow robust estimation while reducing potential issues of unobserved heterogeneity.The estimates show that Internet access has significantly increased rural household dietary quality(measured by the Chinese Diet Balance Index).Further research finds that Internet access has increased the consumption of animal products,such as aquatic and dairy products.We also examine the underlying mechanisms.Internet access improves dietary quality and food consumption mainly through increasing household income and food expenditure.These results encourage the promotion of Internet access as a valuable tool for nutritional improvements,especially in rural areas.

Impact of Labor Mobility and College Volunteers' Fixed-position Teaching Experience on Rural Households——Based on Survey Data about Teaching Sites and Volunteer Teachers

With the continuous deepening of reform and opening up,the gap between urban and rural areas continues to widen,and many farmers in rural areas have chosen to work in cities in order to get out of poverty. At the same time,in the context of the policy of precise poverty alleviation and rural rejuvenation,various helping and supporting measures for rural areas have also emerged. Supporting education in universities is one of the most important ones. With the Graduate Teaching Fellowship of Huazhong Agricultural University and the students and parents in the teaching sites as research objects,the impact of labor mobility and fixed-position supporting education in rural areas on rural families was explored in this paper using economics,sociology and other relevant theories and analytical methods. The results showed that labor mobility can promote the increase of rural household economic income. Outbound industries and regions have a major impact on the entire family development. However,the outflow of labor can also lead to various problems such as staying behind. The fixed-position supporting education in colleges and universities can,on the one hand,promote the improvement of the academic performance of the students in the teaching areas. On the other hand,it can help students develop good habits. Fixed-position supporting education of colleges and universities can be seen as a way to make up for the outflow of labor in rural areas. Combining the flow of labor force with the teaching support of colleges and universities can better promote the development of the entire family of farmers in rural areas.

A Study on Influencing Factors of College Students' Well-being——Taking Students of Huazhong Agricultural University as an Example

In recent years,with the sustained and healthy economic development in China,the focus of people's attention has gradually been shifted to spiritual pursuit after their material pursuit is met. As a special group,college students get more social attention,and the study of college students' well-being is gradually carried out and furthered. In institutions of higher learning,the degree of college students' well-being exerts direct influence on the degree of college students' psychological health and college students' recognition of higher education. Taking 205 students from Huazhong Agricultural University as an example,drawing on the subjective well-being scale compiled by Diener et al.,and through discussions,interviews and questionnaires,this paper carries out a study from such aspects as gender,specialty,grade,region,family economic status and love situation,and uses SPSS20. 0 software to implement such statistical analyses as factor analysis,partial correlation analysis,descriptive analysis and cluster analysis,thus researching the factors influencing college students' well-being. The results show that the overall perception of well-being the students is relatively high,and very few students feel unhappy,indicating that the overall psychological situation of students in Huazhong Agricultural University is optimistic,but the psychological situation of individual students still needs our attention. The analysis shows that the well-being of college students is influenced by the factors such as grade,degree of love for their specialties,region and family economic status,and is not influenced by whether to be the only child in the family and gender. This paper suggests that we should strengthen ideal and belief education,in order to improve college students' ability to endure setbacks; we should strengthen college student's association education,in order to enrich college life; we should strengthen practice teaching,in order to enhance college students' acceptance of the specialty they selected; we should strengthen the training of students' employment ability,so that they will be able to adapt to the social environment of great employment pressure.

Consumption Motivation and Behavior of College Students in Western-style Fast Food Restaurants on Campus

Based on the questionnaire survey data of college students in Wuhan,this paper studied the motivation of consumption behavior of college students in western-style fast food restaurants on campus,and built a relationship model for consumption motivation and behavior. The results indicate that the consumption motivation of college students in western-style fast food restaurants includes six types: social motivation,conformity motivation,show-off motivation,self-hedonic motivation,quality-pursuing motivation,and self-gift giving motivation. The overall characteristics of college students' consumption behavior in western-style fast food restaurants include six characteristics: consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. There are significant differences in the consumption behavior between different college students. Different college students are different in consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. Based on the above results,it came up with pertinent marketing recommendations.

Survey and Analysis on the Students Satisfaction with Undergraduate Teaching Management in Local Agricultural Colleges and Universities:A Case Study of Tianjin Agricultural University

Local agricultural colleges and universities undertake the important task of training rural revitalization talents suitable for regional characteristics.Only by mastering students'satisfaction with teaching management can we find the problems existing in teaching management.Taking Tianjin Agricultural University as an example,this paper analyzes the undergraduates'satisfaction with teaching management by questionnaire and SPSS24.0.The results show that undergraduates can actively and actively participate in undergraduate teaching management,but their satisfaction is not high.There are significant differences in teaching evaluation management satisfaction among students of different majors and grades.It is suggested to improve the level of teaching management from the aspects of guiding and cultivating a new concept of management and education,establishing and perfecting a scientific and rigorous teaching management system,strengthening the information-based construction of teaching management and strengthening personnel training.

Impact of Online Comments on Purchase Intention of College Student Consumers under Online Shopping

With the rapid development of network technology,online shopping has been constantly growing,and how to make better use of the dissemination effect of online comment has become an imperative and practical issue. Based on review of the existing literature,this paper established the theoretical research model and used the literature research and empirical research combined method to analyze the impact of online comment on purchase intention of college student consumers under online shopping. The research results indicate that the quantity,quality,valence and timeliness of online comments exert a significant impact on the purchase intention of college student consumers.

Construction of ecological curriculum system in universities and colleges

The ecological curriculum system is featured by the subjectivity, systematicness, dynamicness and sustainability. Based on the curriculum theories of pragmatism and humanism, and the experience of universities in America, France and other countries, this paper examines the problems existing in the curriculum in higher education in China. Structural unemployment is caused by the mismatch of the curriculum and the social needs. At the same time, the curriculum fails to cultivate the innovative and entrepreneurial ability of students. Moreover, teacher-student relationship is not as harmonious as expected. Finally, to achieve the goal of curriculum construction, the thesis emphasizes the integrity and coordination of personnel training. Curriculum module design should be diversified and highlight features, to achieve static and dynamic tension interaction of the course content. The reform of teaching methods and means should be student-oriented and eventually form an open curriculum evaluation mechanism.

The analysis on the reform of college football course

Modem football has a long history and tradition, and it is one of the most popular sport around the world. The football also has a wide audience in China, and the development has formed a considerable scale in the colleges and universities in China, more and more students choose the football courses. However, the development of modem football in the football course in the colleges and tmiversities in China still exists many shackles. This paper regards the current football course in colleges and universities in China as the breakthrough point, simply analyzes the reform of college football course in the future, I hope it can gradually improve the football course and improve the quality of course on the basis of the clear characteristics to promote the development of comprehensive quality of students.

The multiple roles of crop structural change in productivity,nutrition and environment in China:A decomposition analysis

China's crop structure has undergone significant changes in the last two decades since 2000,with an increase in the share of cereals,vegetables,and fruit,squeezing out other crops.As a result,land productivity,nutrient supply,and carbon emissions have changed.How to reallocate limited farmland among crops to achieve the multiple goals of agrifood systems becomes an important issue.This study explores the sources of land productivity and nutrition supply growth and carbon emissions reduction,and identifies the multiple roles of crop structural change from 2003 to 2020 based on a decomposition analysis.The results reveal that the growth within crops is still the primary driver in land productivity and nutrition supply and the reduction in carbon emissions.However,structural change also plays various roles at different periods.From 2003 to 2010,crop structural change increased the total calorie supply but lowered land productivity and contributed at least 70%of the total growth of carbon emissions.The crop structure was relatively stable,and their effects were modest from 2010 to 2015.From 2015 to 2020,the crop structural change began to play a greater role and generate synergistic effects in improving land productivity,micronutrient supply,and reducing carbon emissions,contributing to approximately a quarter of the growth of land productivity and 30%of total carbon emissions reduction.These results suggest that strategies for crop structural change should comprehensively consider its multiple impacts,aiming to achieve co-benefits while minimizing trade-offs.

Predicting carbon storage of mixed broadleaf forests based on the finite mixture model incorporating stand factors,site quality,and aridity index

The diameter distribution function(DDF)is a crucial tool for accurately predicting stand carbon storage(CS).The current key issue,however,is how to construct a high-precision DDF based on stand factors,site quality,and aridity index to predict stand CS in multi-species mixed forests with complex structures.This study used data from70 survey plots for mixed broadleaf Populus davidiana and Betula platyphylla forests in the Mulan Rangeland State Forest,Hebei Province,China,to construct the DDF based on maximum likelihood estimation and finite mixture model(FMM).Ordinary least squares(OLS),linear seemingly unrelated regression(LSUR),and back propagation neural network(BPNN)were used to investigate the influences of stand factors,site quality,and aridity index on the shape and scale parameters of DDF and predicted stand CS of mixed broadleaf forests.The results showed that FMM accurately described the stand-level diameter distribution of the mixed P.davidiana and B.platyphylla forests;whereas the Weibull function constructed by MLE was more accurate in describing species-level diameter distribution.The combined variable of quadratic mean diameter(Dq),stand basal area(BA),and site quality improved the accuracy of the shape parameter models of FMM;the combined variable of Dq,BA,and De Martonne aridity index improved the accuracy of the scale parameter models.Compared to OLS and LSUR,the BPNN had higher accuracy in the re-parameterization process of FMM.OLS,LSUR,and BPNN overestimated the CS of P.davidiana but underestimated the CS of B.platyphylla in the large diameter classes(DBH≥18 cm).BPNN accurately estimated stand-and species-level CS,but it was more suitable for estimating stand-level CS compared to species-level CS,thereby providing a scientific basis for the optimization of stand structure and assessment of carbon sequestration capacity in mixed broadleaf forests.

Performance evaluation of seven multi-label classification methods on real-world patent and publication datasets

Purpose:Many science,technology and innovation(STI)resources are attached with several different labels.To assign automatically the resulting labels to an interested instance,many approaches with good performance on the benchmark datasets have been proposed for multi-label classification task in the literature.Furthermore,several open-source tools implementing these approaches have also been developed.However,the characteristics of real-world multi-label patent and publication datasets are not completely in line with those of benchmark ones.Therefore,the main purpose of this paper is to evaluate comprehensively seven multi-label classification methods on real-world datasets.Research limitations:Three real-world datasets differ in the following aspects:statement,data quality,and purposes.Additionally,open-source tools designed for multi-label classification also have intrinsic differences in their approaches for data processing and feature selection,which in turn impacts the performance of a multi-label classification approach.In the near future,we will enhance experimental precision and reinforce the validity of conclusions by employing more rigorous control over variables through introducing expanded parameter settings.Practical implications:The observed Macro F1 and Micro F1 scores on real-world datasets typically fall short of those achieved on benchmark datasets,underscoring the complexity of real-world multi-label classification tasks.Approaches leveraging deep learning techniques offer promising solutions by accommodating the hierarchical relationships and interdependencies among labels.With ongoing enhancements in deep learning algorithms and large-scale models,it is expected that the efficacy of multi-label classification tasks will be significantly improved,reaching a level of practical utility in the foreseeable future.Originality/value:(1)Seven multi-label classification methods are comprehensively compared on three real-world datasets.(2)The TextCNN and TextRCNN models perform better on small-scale datasets with more complex hierarchical structure of labels and more balanced document-label distribution.(3)The MLkNN method works better on the larger-scale dataset with more unbalanced document-label distribution.

Survivability model of LEO satellite constellation based on GERT with limited backup resources

Survivability is used to evaluate the ability of the satellite to complete the mission after failure,while the duration of maintaining performance is often ignored.An effective backup strategy can restore the constellation performance timely,and maintain good network communication performance in case of satellite failure.From the perspective of network utility,the low Earth orbit(LEO)satellite constellation survivable graphical eva-luation and review technology(GERT)network with backup satel-lites is constructed.A network utility transfer function algorithm based on moment generating function and Mason formula is proposed,the network survivability evaluation models of on-orbit backup strategy and ground backup strategy are established.The survivable GERT model can deduce the expected mainte-nance time of LEO satellite constellation under different fault states and the network utility generated during the state mainte-nance period.The case analysis shows that the proposed surviv-able GERT model can consider the satellite failure rate,backup satellite replacement rate,maneuver control replacement ability and life requirement,and effectively determine the optimal sur-vivable backup strategy for LEO satellite constellation with limi-ted resources according to the expected network utility.

Sustainable reputation of lithium-ion battery supplier and its impact on transaction equilibrium in the electric vehicle supply chain

In the lithium-ion battery(LIB)supply-chain,transactions involve several rounds of ordering,production and delivery between LIB suppliers and electric vehicle(EV)manufacturers.The sustainable performance of LIB suppliers,related to various characteristics,significantly affects the participants’sustainable reputations.The EV-LIB supply-chain transaction mechanism is explored from the perspective of the exchange economy comprehensively addressing both short-term economic profit and long-term sustainable reputation.Specifically,a“profit-reputation”utility function is proposed to reflect participants’expectations regarding cooperation profit and sustainable reputation.Additionally,an Edgeworth box model is developed to describe the participant’s balance determinations as a contract curve,revealing the Pareto conditions for mutually beneficial transactions based on sustainable performance.Furthermore,several principal-agent models are established to analyze the equilibrium of sustainable transactions within the EV-LIB supply-chain under varying dominance scenarios.A case study of an EV-LIB transaction is conducted to demonstrate the feasibility and effectiveness.This study aims to assist supply chain managers,researchers and decision-makers in exploring the role of participant’s sustainable reputation and its influence on supply-chain transaction and equilibrium,particularly in the context of designing cooperative contracts and negotiation process to foster sustainable supply chains.

Unveiling the impact and mechanism of digital technology on agricultural economic resilience

Enhancing the economic resilience of agriculture is essential for promoting sustainable and high-quality agricultural development.The emergence of digital technology has created new opportunities in this field.However,existing research predominantly focuses on traditional agricultural factors and technologies.Therefore,the impact of digital technology on agricultural economic resilience within the broader context of the“production-operation-industry”system in agriculture has not been comprehensively explored.To bridge this gap,this study analyzes panel data from 30 Chinese provinces from 2011 to 2020.It employs the static Van Dorn’s law and a dynamic spatial panel model to examine how digital technology empowers agricultural resilience.The findings indicate a continuous strengthening of digital technology development in China,albeit with significant polarization and spatial imbalances.Moreover,the resilience of the agricultural economy undergoes notable fluctuations,initially narrowing and subsequently displaying an upward trend.Digital technology clearly plays a pivotal role in empowering resilience through agricultural scale operation,industrial transformation,and technological progress.Its impact,particularly on the promotion of resilience in the eastern region and non-grain-producing areas and on high-level agricultural economies,also shows regional and technological variations.

Analysis and optimization of stamping and forming process of bearing outer ring

To address the common issues of wrinkling,tearing,and uneven wall thickness in the actual sheet metal stamp-ing process of the outer ring of needle roller bearings,this study analyzes critical technical indicators such asforming limits,thickness distribution,and principal strains in the forming process in detail.Three-dimensionalmodels of the concave and convex dies were constructed.The effects of different process parameters,includingstamping speed,edge pressure,sheet metal thickness,and friction coefficient,on the quality of the forming partswere investigated by varying these parameters.Subsequently,the orthogonal experimental method was used todetermine an optimal experimental group from multiple sets of experiments.It was found that under the processparameters of a stamping speed of 3000 mm/s,edge pressure of 2000 N,sheet metal thickness of 0.9 mm,andfriction coefficient of 0.125,the forming quality of the outer ring of the bearing is ideal.