58 research outputs found
A Study on the Influence of “Shadow Education” about the Students’ Achievements Moderated by the Parents\u27 Expectations in China
No full text“Shadow education”, also known as “tutoring” or “private tutoring”, is a kind of education style outside of the mainstream official school education, and constantly changes along with the school education above mentioned, it’s same as the shadow keeps close to the body, so just called “shadow education”. When there are more advocations of reducing the learning burden of the schoolchildren last several years, but on the other hand the demands for“tutoring ” have soared in China astonishingly. Because the supplies of “shadow education” is supported practically from the parents in China,this study researches for the influence of “shadow education” about the schoolchildren’s achievement moderated by the parents\u27 expectation, by the ways of the adoption of the data from 2013 to 2014 on Chinese family dynamic tracking from the database of ChineseFamilyPanelStudies( CFPS) ,also continuly uses “sample regression” and “threshold effect” to analysis, the conclusions of this study are,it’s a significant impact between “shadow education” expenditure and the schoolchildren’s academic performance, the shadow education expenditure increase1,000 RMB, schoolchildren’s academic performance can increase relatively 0.246 standard deviations. The sample regression about the moderating effect shows there is a moderating effect between the parental education expectations and the schoolchildren’s academic performance, shows a positive moderating effect on the whole.The older schoolchildren have the better performances and the greater effects from the shadow education,also the older the schoolchildren are, the better their grades will be, there are threshold effects between the parental education expectations and the schoolchildren’s academic performance generally. The results of the “threshold regression” based on the “threshold value “, show that when parents\u27 educational expectations are greater than the “threshold value” and the parents\u27 expectations are less than the “threshold value”, “shadow education” expenditures have a significant positive impact on the schoolchildren’s academic performance, but the parents\u27 expectations are less than the “threshold value” of the “sample regression”, the coefficient is greater, the degrees of positive influence are more greater. It’s obviously different “shadow education” expenditure on the schoolchildren’s academic performance between urban and rural ,there are the increase in parental education expectations has a greater moderating effect on increasing “shadow education” expenditures to improve the schoolchildren’s academic performance in rural areas. It is also found that “shadow education” expenditures will improve the schoolchildren’s academic performance , the parental education expectations also give play to positive regulatory effects on the input & output of “shadow education” too. “shadow education”and “school education”still keep a certain complementary effects in this time.Finally,this study will put forward some opinions & suggestions for the governments, schools, families in China
The Influence of Plateau Environment on Diesel Engine Starting Process
No full textIn view of the difficulty of a diesel engine starting in a plateau environment, this paper analyzed three factors that affect diesel engine starting by literature review and theoretical analysis, deeply analyzed the mechanism of the plateau environment on the diesel engine starting process, and introduced auxiliary measures for diesel engine starting in a plateau environment so as to further study how fast and reliable starting has laid a solid theoretical foundation
The Effect of Mental Toughness on Learning Burnout of Junior Middle School Students: Putting School Adaptation as a Mediator Variable
No full textLearning burnout has always been a key problem in school education. Junior high school students, as an important part of the student population, cannot be ignored. To explore the impact of resilience, school adaptation on learning burnout is helpful to improve students’ learning level and reduce learning burnout. In this study, the junior high school students in A city were selected as the research objects, and questionnaires were used to explore the effect of mental toughness on learning burnout and the mediating effect of school adaptation. Statistical analysis methods such as descriptive statistics, correlation analysis, and regression were used. Based on the theoretical model of job burnout, data analysis showed that mental toughness of junior high school students in A city could significantly negatively predict learning burnout. Adolescent mental toughness can significantly affect the prediction of school adjustment school adjustment has a significant negative impact on learning burnout, and mental toughness can indirectly affect learning burnout through school adjustment
Fatigue Test and Unified Fatigue Life Calculation of Q460C Steel Notched Plates
No full textIn the present study, a total of 20 fatigue tests on notched plates of Q460C steel were carried out, where the effects of relative stress amplitude, Δσ/fy, and relative nominal maximum stress, σmax/fy, on the fatigue life of these notched plates were carefully examined. Theoretical analyses and numerical simulations were subsequently conducted, based on an ellipsoidal fracture model originally proposed by the second author, which has been validated for use as a fracture criterion of fatigue crack, to investigate the fatigue cracking in the Q460C steel notched plates. The theoretical model was further developed to estimate the fatigue life of the Q460C steel notched plates using a unified crack growth approach originally proposed by the second author. Based on the theoretical and simulated results, the accuracy of the unified crack growth approach, and the allowable stress fatigue life formula recommended in China’s code GB50017-2017, were assessed. The comparisons indicate that the unified crack growth approach is able to provide a reliable fatigue life assessment for the Q460C steel notched plates
Algorithm and simulation of automatic recommendation based on information requirements
No full textInformation acquisition is the prerequisite for command decision-making. In the era of big data filled with massive information, the useful information is submerged in useless information. How to efficiently obtain the useful information needed by command personnel is the key to improve operational command effectiveness. The author uses the information automatic recommendation algorithm, on the basis of the information requirements proposed by the commander, extracts the useful information and automatically recommends to commander based on the text similarity. It can effectively improve the timeliness of information acquisition and command decision-making, and thus improve the effectiveness of combat command
Complete mitochondrial genome of the Himalayan Musk Deer, Moschus leucogaster, with phylogenetic implication
No full textOptimization of multi-objective feature regression models for designing performance assessment methods in college and university educational reform
No full textThe evaluation of teacher performance in higher education is a critical component of educational reform, requiring robust and accurate assessment methodologies. Multi-objective regression offers a promising approach to optimizing the construction of performance evaluation index systems. However, conventional regression models often rely on a shared input space for all targets, neglecting the fact that distinct and complex feature sets may influence each target. This study introduces a novel Multi-Objective Feature Regression model under Label-Specific Features (MOFR-LSF), which integrates target-specific features and inter-target correlations to address this limitation. By extending the single-objective stacking framework, the proposed method learns label-specific features for each target and employs cluster analysis on binned samples to uncover underlying correlations among objectives. Experimental evaluations on three datasets—Education Reform (EDU-REFORM), Programme for International Student Assessment (PISA), and National Assessment of Educational Progress (NAEP)—demonstrate the superior performance of MOFR-LSF, achieving relative root mean square error (RRMSE) values of 0.634, 0.332, and 0.925, respectively, outperforming existing multi-objective regression algorithms. The proposed model not only enhances predictive accuracy but also strengthens the scientific validity and fairness of performance evaluations, offering meaningful contributions to educational reform in colleges and universities. Moreover, its adaptable framework suggests potential applicability across a range of other domains
Wildfire Smoke Transport and Air Quality Impacts in Different Regions of China
No full textThe air quality and human health impacts of wildfires depend on fire, meteorology, and demography. These properties vary substantially from one region to another in China. This study compared smoke from more than a dozen wildfires in Northeast, North, and Southwest China to understand the regional differences in smoke transport and the air quality and human health impacts. Smoke was simulated using the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) with fire emissions obtained from the Global Fire Emission Database (GFED). Although the simulated PM2.5 concentrations reached unhealthy or more severe levels at regional scale for some largest fires in Northeast China, smoke from only one fire was transported to densely populated areas (population density greater than 100 people/km2). In comparison, the PM2.5 concentrations reached unhealthy level in local densely populated areas for a few fires in North and Southwest China, though they were very low at regional scale. Thus, individual fires with very large sizes in Northeast China had a large amount of emissions but with a small chance to affect air quality in densely populated areas, while those in North and Southwest China had a small amount of emissions but with a certain chance to affect local densely populated areas. The results suggest that the fire and air quality management should focus on the regional air quality and human health impacts of very large fires under southward/southeastward winds toward densely populated areas in Northeast China and local air pollution near fire sites in North and Southwest China
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