Does Housework Help Improve Academic Performance? An Empirical Analysis on the Influence of Participation in Housework on Academic Performance of Primary and Middle School Students

At present, even if the education on hard-working spirit has been emphasized increasingly as an important part of practical education in China’s education policy, the reality is still far from satisfactory, because many parents do not provide their children with sufficient opportunities to do housework. Previous studies have indicated that the empirical analysis remains to be improved in terms of the relationship between housework and the development of primary and junior high school students. Based on data from the 2020 Monitoring of Students' Academic Quality in Basic Education in Jiangsu Province Study, this study investigates the influence of primary and secondary school students’ participation in housework on academic performance by using OLS regression and Coarsened Exact Matching (CEM). The results show that the current proportion of primary and junior high school students involved in housework is not high; however, participating in housework frequently will positively affect the academic performance of primary and junior high school students. Participation in housework in primary school has a greater positive impact on academic performance than that in junior high school. In addition, since excessive academic burden is the main factor hindering primary and junior high school students from being involved in housework, it is necessary to strengthen the publicity of education on hard-working spirit to help people know its importance. Also, we suggest the burden on schoolwork should be reduced to in order to promote more diversified housework related educational opportunities for students

Impact of Pet Companionship on Student Development: A Meta-Analysis

Animal companionship has been found to have a positive influence on human well-being, and the presence of pets can have a subtle yet significant impact on the healthy development of students. Pet companionship takes various forms across different fields in China and other regions worldwide, and the impact of such companionship remains uncertain. Hence, it is imperative to investigate the impact of diverse forms of companionship and animals on multiple facets of student growth and development. This study employed meta-analysis methodologies to examine 47 effect sizes derived from 12 domestic and international studies on pet companionship. The aim was to investigate the overall trends of the influence of pet companionship on student development as well as the effects of diverse types of companionship and pets on different aspects of student development, including physical and mental health, social-emotional abilities, and academic performance. The objective was to enhance the exploration of approaches for maximizing the utilization of various forms of pet companionship. Furthermore, this research suggests a systematic and incremental approach to enhancing the function of pets within households, educational institutions, and medical facilities. Adequate content and organization are essential for scientific advancement and the development of students. In this particular context, it is possible to optimize the impact of pet companionship on the development of students

Phylogeny Analysis from Gene-Order Data with Massive Duplications

Background: Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogenetic reconstruction. Because these changes are rare compared to sequence mutations, they allow the inference of phylogeny further back in evolutionary time. There exist many computational methods for the reconstruction of gene-order phylogenies, including widely used maximum parsimonious methods and maximum likelihood methods. However, both methods face challenges in handling large genomes with many duplicated genes, especially in the presence of whole genome duplication. Methods: In this paper, we present three simple yet powerful methods based on maximum-likelihood (ML) approaches that encode multiplicities of both gene adjacency and gene content information for phylogenetic reconstruction. Results: Extensive experiments on simulated data sets show that our new method achieves the most accurate phylogenies compared to existing approaches. We also evaluate our method on real whole-genome data from eleven mammals. The package is publicly accessible at http://www.geneorder.org. Conclusions: Our new encoding schemes successfully incorporate the multiplicity information of gene adjacencies and gene content into an ML framework, and show promising results in reconstruct phylogenies for whole-genome data in the presence of massive duplications

Tectorigenin ameliorates myocardial cell injury caused by hypoxia/reoxygenation by inhibiting autophagy via activation of PI3K/AKT/mTOR pathway

Purpose: To investigate the protective role of tectorigenin in myocardial ischaemia/reperfusion. Methods: Myocardial cells (H9c2) were treated with different concentrations of tectorigenin and exposed to hypoxia/reoxygenation. Cell viability and apoptosis were determined by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide) and TUNEL (terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling) staining, respectively. Oxidative stress and inflammation were evaluated using enzyme-linked immunosorbent assay (ELISA), while autophagy and the underlying mechanisms of action were evaluated by Western blot. Results: Tectorigenin enhanced the proliferative activity of H9c2 under hypoxia/reoxygenation conditions, and significantly reduced the apoptotic activity (p < 0.001) through decrease in Bax and increase in Bcl-2. Tectorigenin also significantly up-regulated SOD (superoxide dismutase) and GSH (glutathione) levels (p < 0.01), and down-regulated MDA (malondialdehyde) and MPO (myeloperoxidase) in hypoxia/reoxygenation-induced H9c2. TNF-α (tumor necrosis factor-α), IL(interleukin)-1β, and IL-6 levels were also inhibited by tectorigenin by down-regulating p-p65. Hypoxia/reoxygenation-induced increase in p62 and decrease in Beclin-1 and LC3-II/LC3-I were reversed by tectorigenin. Protein expressions of p-mTOR, p-AKT, and p-PI3K in hypoxia/reoxygenation-induced H9c2 were elevated by tectorigenin. Conclusion: Tectorigenin exerts anti-oxidant, anti-inflammatory, and anti-autophagic effects on hypoxia/reoxygenation-induced H9c2 through the activation of PI3K/AKT/mTOR pathway, thus suggesting that it is a potential agent for the management of myocardial ischaemia/reperfusion