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On Katherine Mansfield's Feminist Consciousness
Zhao Wenlan 청주대학교 국제협력연구원 2006 國際文化硏究 Vol.24 No.-
Katherine Mansfield contributed her short life to the short story creation and created many female images in her works. Although she is not a radical feminist theorist, her feminist consciousness makes her always concerned with women's fate and their pursuit. Combining her own life experience, she described women's sufferings in their life struggles, and portrayed women's loneliness, disillusionment and rebellion in the patriarchal society. Her stories make us feel Mansfield's concern with women problems and her exploration to women's emancipation, and also reveal her limitations in feminism.
Wenlan Wang,Hongbiao Yin,Genshu Lu,Qiaoping Zhang 서울대학교 교육연구소 2017 Asia Pacific Education Review Vol.18 No.3
This study explored the relationships between Chinese college students’ perceptions of the classroom environment and some affective aspects in the study of mathematics. A total of 2529 students responded to three measures that were specifically designed to assess college students’ perceptions of the mathematics classroom environment, their emotional experiences and values of studying mathematics. Comparatively, the students had a higher score on the value of mathematics but lower scores on their emotional experiences of mathematics learning, and the characteristics of the classroom environment had some significant effects on the students’ emotional experiences and values of studying mathematics. The eight classroom environmental factors were categorised into three groups according to the nature and extent of their effects on students’ affect in mathematics learning. Although most classroom environmental factors had a positive impact on college students’ emotional experiences and values in the study of mathematics, the effects of two environmental factors, the difficulty of studying mathematics and teacher support, were of particular interest. Given these results, instructors are encouraged to leave more room for student autonomy, to adopt some innovative learning approaches to promote student collaboration and to pay close attention to the difficulty of the mathematics curricula and competition among students.
( Wenlan Wu ),( Xianbin Wen ),( Haixia Xu ),( Liming Yuan ),( Qingxia Meng ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.3
This paper presents a novel range-free localization algorithm based on quantum particle swarm optimization. The proposed algorithm is capable of estimating the distance between two non-neighboring sensors for multi-hop heterogeneous wireless sensor networks where all nodes’ communication ranges are different. Firstly, we construct a new cumulative distribution function of expected hop progress for sensor nodes with different transmission capability. Then, the distance between any two nodes can be computed accurately and effectively by deriving the mathematical expectation of cumulative distribution function. Finally, quantum particle swarm optimization algorithm is used to improve the positioning accuracy. Simulation results show that the proposed algorithm is superior in the localization accuracy and efficiency when used in random and uniform placement of nodes for heterogeneous wireless sensor networks.
Harmless Measurement of Tree Root Distribution Using Electrical Resistivity Method
Wenlan Guo,Junshen Gao1,Yun Zhang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
The trees are of great meaning to the life and daily life of the human beings in various fields. However, the trees would disturb the normal activities of peoples. One of the problems is the growth of the tree roots close to the buildings or the roads can cause directly or indirectly structural damages. In this paper, a electrical measurement method based on resistivity is proposed The electrical property of tree root is analyzed. Finally, a tree root measurement system is built and practically tested.
Chai, Wenlan,Lee, So Hee,Park, Yu Hyung korean Academy of Physical Therapy Rehabilitation 2014 Physical therapy rehabilitation science Vol.3 No.2
Objective: The purpose of this study was to determine the effect of the abdominal bracing (AB) and abdominal bracing combined with ankle dorsiflexion (ABDF) on abdominal muscle thickness and strength in patients with chronic low back pain (LBP). Design: Two group pretest posttest design. Methods: Sixteen subjects were divided randomly into two group: ABDF group (n=8), and alone AB group (n=8). The ABDF group practiced AB exercise with additional ankle dorsiflexion. AB group practiced only AB exercises. Subjects in both groups received ABDF exercise and AB exercise for 40 min per day, three days per week during a period of three weeks, respectively. All the subjects were evaluated for abdominal muscle thickness and strength before and after intervention using ultrasonography and MedX machine. Results: The external oblique (EO), internal oblique, transverse abdominis (TrA) muscle thickness and the strength produced at $48^{\circ}$, $60^{\circ}$, $72^{\circ}$ showed a significant increase in the ABDF group after intervention, with a more significant improvement in EO and TrA muscle thickness in the ABDF group compared with the AB group (p<0.05). Also, the strength at $48^{\circ}$ strength showed a significant improvement in the ABDF group than the AB group (p<0.05). Conclusions: The study results showed that abdominal muscle contraction exercises with AD in patients with LBP had an influence on abdominal muscle thickness and strength. Therefore, these findings suggest that ABDF may be useful approach for enhancement of abdominal muscle thickness and strength in patients with chronic low back pain.
A Novel Neural Network Algorithm Optimized by PSO for Function Approximation
Juanjuan Tu,Wenlan Zhou,HongmeiLi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.3
A novel neural network algorithm optimized by particle swarm optimization (PSO) for function approximation is proposed in this paper. The prior information extracted from the upper and lower bound of the approximated function is coupled into PSO. Since the prior information narrows the search space and guides the movement direction of the particles, the convergence rate and the approximation accuracy are improved. Experimental results demonstrate that the new algorithm is more effective than traditional methods.
Supporting Seniors: How Low-Income Elderly Individuals Respond to a Retirement Support Program
Sumit Agarwal,Wenlan Qian,Tianyue Ruan,Bernard Yeung 한국재무학회 2023 한국재무학회 학술대회 Vol.2023 No.11-1
Longer life expectancy and insufficient savings expose individuals to financial vulnerability in older ages and prompt government support measures. We study a government subsidy program for the low-income elderly population in Singapore. Using comprehensive, high-frequency transaction data, we estimate a marginal propensity to consume (MPC) out of the permanent income increases of 0.7, driven by precautionary savings and bequest motives. More liquidity-constrained recipients exhibit an MPC of 1. We find no evidence of labor supply reduction or other strategic behaviors. We discuss implications for eligibility criteria, payment frequency, and distribution form in policy design.
Yuan Gao,Yubin Ji,Wenlan Li,Fuling Wang,Fuling Wang,Xiaomeng Zhang,Zhihui Niu,Lulu Zhou,Lijun Yan 한국식품영양과학회 2021 Journal of medicinal food Vol.24 No.2
This study focused on the antibacterial effects of the endophytic fungi producing naringenin from Dalbergia odorifera T. Chen against Staphylococcus aureus. The antibacterial activity was measured by the inhibition diameters, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC). The time-killing curve was also used to evaluate its antibacterial efficacy. The results of antibacterial activity determinations showed that endophytic fungi secondary metabolites can inhibit the growth of five pathogenic bacteria (S. aureus, Escherichia coli, Salmonella enteritidis, Pseudomonas aeruginosa, and Bacillus subtilis) and the most sensitive strain was S. aureus that had the MIC and MBC values of 0.13 and 0.50 mg/mL, respectively. The membrane permeability study was measured by a DNA leakage assay and electrical conductivity assay. Furthermore, the whole-cell protein lysates and DNA fragmentation assay was evaluated. The morphology of S. aureus treated with the endophytic fungi products was observed by scanning electron microscopy (SEM). The probable antibacterial mechanism of endophytic fungi secondary metabolites was the increased membrane permeability that leads to leaks of nucleic acids and proteins. SEM results further confirmed that the extracts can interfere with the integrity of S. aureus cell membrane and further inhibit the growth of bacteria, resulting in the death of bacteria. This study provides a new perspective for the antibacterial functions of endophytic fungi secondary metabolites for biomedical applications.