Comparison of vergence mechanisms between university students with good and poor sleep quality

AIM:To compare the vergence mechanisms between good and poor sleepers in university students.METHODS:A total of 64 university students were recruited in this study.The validated Malay version of Pittsburgh Sleep Quality Index questionnaire(PSQI-M)was used to measure the participants’sleep quality over the past month.Participants were categorized as good sleepers(n=32)and poor sleepers(n=32)based on the PSQI-M scores.Heterophoria and fusional vergences were measured at distance and near.Mann-Whitney U test was used to compare heterophoria,negative fusional vergence(NFV),and positive fusional vergence(PFV)at distance and near between good and poor sleepers.Spearman correlation analysis was used to study the relationship between PSQI-M score and PFV at distance.RESULTS:Both distance and near heterophorias were not significantly different between good and poor sleepers(P>0.05).There was a difference in distance PFV(P<0.05)between good and poor sleepers,but not in distance NFV,near NFV,and near PFV(P>0.05).Distance PFV was negatively correlated with PSQI-M score(rs=-0.33,P<0.05).CONCLUSION:University students with poor sleep quality demonstrates a reduced ability to maintain fusion with increasing convergence demand at distance.Sleep quality assessment during binocular vision examination in university students is recommended.

Association of spiritual well-being with quality of life among undergraduate nursing students

Objective:The study was conducted with the aim of determining the spiritual well-being(SWB)of nursing students and its association with quality of life(QOL).Materials and Methods:A cross-sectional analytical study was conducted with a sample size of 504 nursing students collected from January 2023 to March 2023 in the nursing institutes of Khyber Pakhtunkhwa,Pakistan,using convenient sampling techniques.A Spiritual Health and Life-Orientation Measure(SHALOM)questionnaire for SWB and K-27 QOL(K-27 QOL)instrument were used for data collection that contains three parts.Results:The number of female participants was in the majority(50.4%)compared to male nurses(49.6%).The overall mean score of SWB of the students was 3.79±0.48,while the mean K-27 QOL score was 3.73±0.57.There were significant differences between the groups of gender(P=0.001),while no significant difference within the groups of semester(P=0.061)and college status(0.285).In QOL,there were significant differences within the groups of semester(P=0.000)and college status(P=0.036)while no significant difference in gender category(P=0.480).SHALOM score is positively and moderately correlated with QOL score(r=0.597,P<0.05).Conclusion:Spiritual practices are one of the important factors that are associated positively with QOL,therefore to enhance the QOL,it will require spiritual practices.

Prevalence of color vision deficiency among Chinese college students and their quality of life

AIM:To investigate the prevalence of color vision deficiency(CVD)among college students and their quality of life(QoL)in a Chinese college.METHODS:This cross-sectional study was performed in Sichuan University in Chengdu,China.The questionnaire containing participants’demographic data,as well as CVD related QoL was distributed to students who were screened as CVD[by Color Vision Examination Plates(Version 6)]in 2022 freshman entrance examination.Color blindness QoL(CBQoL)and utility analysis were used to evaluate the QoL of CVD students.RESULTS:There were 381 of 17303(2.20%)students screened as CVD,including 368(4.11%)males and 13(0.16%)females.A total of 317 students completed the questionnaire,the response rate was 83.20%.Only 166 participants(52.3%)knew they have CVD before the physical examination for college entrance examination,while a total of 145 participants(45.74%)hoped to be diagnosed earlier.The medians of CBQoL score and utility were 5.85(range 2.2-6)and 1(range 0-1),respectively.The proportions of students whose QoL is affected by CVD were 67.63%(211/312)and 42.27%(134/317)measured by CBQoL and utility analysis respectively.CONCLUSION:The prevalence of CVD in males is much higher than that in females.The time when CVD students first became aware of their CVD is relatively late.The QoL of the study population is quite high,while a large proportion of students’QoL are affected by CVD.It is suggested that as a congenital defect,CVD screening in China should be earlier,and appropriate guidance and support are needed for CVD patients to help them better adapt to life,study,and work.

Cross-Cultural Adjustment and Coping:U.S.Students in Taiwan Residents Higher Education

The aim of this study was to investigate the adjustment problems of students from the United States enrolled in universities in the East,specifically in Taiwan,their problems related to cultural adaptation,and the process of adjustment to student life in Taiwan.Under investigation were cultural adjustment and coping skills as these students transitioned from West to East.Qualitative data were collected from interviews with participants and faculty members as well as participant observations.Results indicated that U.S.students found their own ways to acclimate to their new academic setting as well as to social relations,cross-cultural issues,and the linguistic environment in Taiwan to achieve effective adaptation.They made changes in themselves to cope with all situations they encountered.This study provides suggestions for international students abroad in Taiwan,for the Taiwan Residents government,and for universities or colleges in terms of what they should offer to current and future international students.

The Application of Analytic Hierarchy Process Method in the Evaluation of Educational Quality in Colleges and Universities

Talent quality is the lifeline of colleges and universities.Based on employment guidance,this paper establishes a student quality evaluation and control system including knowledge,moral character,and ability,and uses the Analytic Hierarchy Process(AHP)method to analyze the factors affecting the quality of education in colleges and universities.In addition,some suggestions are provided to improve the quality of students.

Analysis of New Senior English for China Student’s Book 1

This article will firstly discuss the context overview of English teaching and learning in China. Under thiscircumstance, a problematic element will be examined of the New Senior English for China Student’s Book 1 and critical appraisal ofhow this element relates to other elements of curriculum development will be analyzed. The recommended changes and demonstrationmechanisms for evaluating the changes are put forward in the last two parts.

Mediating effect of e-learning quality on learning outcomes through student satisfaction in nursing education

Objective:This study aimed to determine the relationships between e-learning quality,student satisfaction,and learning outcomes and the mediating effect of student satisfaction.Methods:A cross-sectional quantitative correlational study using a predictive design and multivariate analysis method was employed in this study.A sample of 241 nursing students were recruited through an online survey based on a stratified random sampling technique.The variance-based Par tial Least Squares Structural Modeling analysis method was used to test the possible relationship and mediating effect among the variables.Results:The findings revealed statistical y significant relationships between e-learning quality,student satisfaction,and learning outcomes.A mediating effect of 37.2%is predicted for e-learning quality on learning outcomes through student satisfaction.Conclusions:This study emphasizes the learning needs of working nurses and the impact on their learning outcomes in e-learning nursing undergraduate programs.Advances in e-learning education have assisted nurses to be more self-sufficient in their pursuit of lifelong learning.

Association between social media addiction and sleep quality among undergraduate nursing students:a cross-sectional study

Objectives:To examine the association between social media addiction and sleep quality among undergraduate nursing students.Methods:This research is an analytical observational study with a cross-sectional approach.The sampling technique was purposive sampling of 150 nursing students at a private university in Malang,Indonesia.Respondents filled out a questionnaire about self-identity,a sleep quality questionnaire from the Pittsburgh Sleep Quality Index(PSQI),and social media addiction from Social Media Addiction Scale(SMAS).This was a bivariate analysis which was conducted using the Pearson Product Moment Correlation test.Results:The results of this study reported that most nursing students were addicted to social media(76%).As for the parameter of the quality variable,most respondents had poor sleep quality,which were about 106 people(70.3%).The result of the Pearson Product Moment Correlation test obtained a P value of 0.000.The Pearson correlation coefficient was 0.358.Social media addiction(adjusted odds ratio[OR]4.80,95%confidence interval[CI]=2.08-11.02),gender(adjusted OR 3.79,95%CI=1.58-9.12),and using social media for a long time(adjusted OR 4.21,95%CI=1.97-10.48)were associated with sleep quality.Conclusions:We found that there is an association between social media addiction and sleep quality among nursing students.Furthermore,we might be educating nursing students to manage their time to improve their quality of sleep to avoid any health problems.

Cultivate Innovative and Entrepreneurial Qualities among Medical Students through Curriculum Ideology and Politics

As the main body of promoting the development of medical science and technology, medical students play an extremely important role in promoting the construction of new medical science. New medicine is a new concept based on the development of traditional medicine, breaking the discipline barrier, aiming to cultivate composite talents, taking reality as the orientation, and combining with the Internet, big data and artificial intelligence. Cultivating medical students’ innovation and entrepreneurship literacy is not only the internal need of the construction of innovative medical talents in new medical sciences, but also the development need of promoting the optimization of medical disciplines and effectively promoting the construction of an innovative country. As the main place for training medical talents, medical colleges and universities should integrate classroom ideology and politics with the new medical background to improve medical students’ professional knowledge, professional ethics, humanistic quality and scientific and technological quality, promote the cultivation of medical students’ innovative spirit, and further innovate medical theories, technologies and concepts. It lays a solid foundation for cultivating top medical talents with both innovative thinking and cultural self-confidence and building an innovative country.

基于B/S架构的远程会诊质控系统的设计与应用

目的研发远程会诊质控系统,在区域内实现远程会诊质控、管理、监管、考评、统计和持续改进的信息化。方法2020年,组建多学科团队,运用智力激励法和专题小组讨论法,基于B/S架构研发远程会诊质控系统,与既有远程会诊信息系统完全嵌合兼容,满足远程会诊全流程质量管理的功能需求。结果针对远程会诊质控工作要求,系统设计研发了质控管理、质控考评、实时监管、统计分析4个子模块,可满足远程会诊全流程质量管理的功能需求。结论该质控系统创新了远程会诊信息化质量管理模式,在区域内实现了远程会诊全流程的信息化管理,取得了较好的质量管理成效,有效促进区域内远程会诊工作的推进和发展。

基于B/S和SOA架构的LIMS系统设计与研究

为提升水质检测业务的专业化、智能化、系统化、自动化水平,针对新发展阶段下水利高质量发展对水质信息管理的需求,研究并开发基于B/S系统架构和SOA设计架构的新型综合性水质信息管理系统(LIMS),运用仪器谱图识别及数据提取、PHP与MySQL融合、仪器谱图与原始记录自动关联等技术,在一定程度上提高水质数据的电子化无纸化获取、处理、传输及应用等方面的管理水平,实现水质检测业务流程与资源的动态关联和闭环追溯,提升水质监测评价工作的管理效率和质量管理能力。基于B/S和SOA架构的LIMS在前沿高新技术中的应用研究,为水质检测和管理的各项活动提供智能、高效的数据支持平台,也为水利行业信息系统管理建设及水域功能监测监管提供技术支撑。

基于D-S证据理论的农作物气候品质预测方法研究:以晚熟杂交柑橘春见为例

【目的】基于多源气象数据构建果实品质(糖含量等级)预测模型,为科学评价果实气候品质及深入挖掘农产品气候资源提供科学依据。【方法】以晚熟柑橘春见果实为研究对象,利用多源数据融合技术、人工神经网络(BP神经网络、RBF神经网络和Elman神经网络)和D-S证据理论,包括气象数据质量控制、特征选取、特征级融合、决策级融合4个步骤,构建基于多源气象数据的果实品质(糖含量等级)预测模型。【结果】春见果实品质预测模型采用BP神经网络预测结果总体准确率为87.50%,平均绝对误差(MAE)为0.150,均方根误差(RMSE)为0.447;RBF神经网络预测结果总体准确率为85.00%,MAE为0.175,RMSE为0.474;Elman神经网络预测结果总体准确率为87.50%,MAE为0.150,RMSE为0.447;D-S证据理论决策融合总体预测准确率达95.20%,分别较BP神经网络、RBF神经网络和Elman神经网络提升7.7百分点、10.2百分点和7.7百分点,MAE和RMSE分别为0.040和0.214,均明显降低。【结论】D-S证据理论决策融合后的果实品质预测准确率相比单一神经网络预测更高、误差更小。

Relationship between depression,smartphone addiction,and sleep among Chinese engineering students during the COVID-19 pandemic

BACKGROUND Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.AIM To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.METHODS Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version(SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.RESULTS Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01;95% confidence interval(CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022(P < 0.01;95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040(P < 0.01;95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.CONCLUSION The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.

经验小波变换和改进S变换结合的电能质量检测与识别方法

为分析不确定干扰因素影响下的实际电力网络电能质量问题,提出一种经验小波变换(EWT)和改进S变换相结合的电能质量检测与识别方法。该方法一方面利用EWT联合归一化直接正交(NDQ)算法和奇异值分解(SVD)算法准确提取调幅-调频分量的频率、幅值和时间参数,另一方面考虑到EWT算法在高噪声环境下瞬时幅值波动的问题,引入改进S变换提取高噪声干扰下的电能质量扰动时频信息,最后,基于EWT和改进S变换提取的扰动特征向量,利用基于改进粒子群优化算法(IPSO)优化支持向量机(SVM)的电能质量扰动识别分类器实现扰动类型的精确识别。仿真和实验表明所提方法在复合扰动识别分类时平均识别准确率为93.23%,且能够准确识别4种实测扰动信号。

Exploring the Relationship between Quality of Sleep and Learning Satisfactions on the Nursing College Students

Background and Aim: Quality of sleep is essential element for learning and memory. Students’ learning performance may be affected by sleep. The purpose of this study was to explore the relationship between quality of sleep and learning satisfaction on nursing college students. Design and Participants: A cross-sectional with correlation study design was employed. 200 students were recruited from the nursing college. Pittsburgh Sleep Quality Index and Learning Satisfaction Scale were used for data collection. SPSS for window 17.0 was used for data analysis. Results: Findings showed: 1) 53% of participants rated their sleep quality as poor;2) the global learning satisfaction of participants varied between highly satisfaction and satisfaction;3) the global learning satisfaction was significantly negative related to “subjective sleep quality”, “use the sleep pill”, and “daytime dysfunction” (p < 0.05), finally, students who were interested in nursing can be explained 10.2% of the total amount of variances in learning satisfaction. Conclusions: The findings can provide information regarding nursing students’ sleep status and learning satisfaction to school teacher. The information would be helpful as evidences when laying out nursing curriculum to strengthen students’ sleep hygiene and learning of affective domain in the future.

A Feature Learning-Based Model for Analyzing Students’ Performance in Supportive Learning

Supportive learning plays a substantial role in providing a quality edu-cation system.The evaluation of students’performance impacts their deeper insight into the subject knowledge.Specifically,it is essential to maintain the baseline foundation for building a broader understanding of their careers.This research concentrates on establishing the students’knowledge relationship even in reduced samples.Here,Synthetic Minority Oversampling TEchnique(SMOTE)technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy.When the initial processing is not done substantially,it leads to misleading prediction accuracy.This research concentrates on modelling an efficient classifier model to predict students’perfor-mance.Generally,the online available student dataset comprises a lesser amount of sample,and k-fold cross-validation is performed to balance the dataset.Then,the relationship among the students’performance(features)is measured using the auto-encoder.The stacked Long Short Term Memory(s-LSTM)is used to learn the previous feedback connection.The stacked model handles the provided data and the data sequence for understanding the long-term dependencies.The simula-tion is done in the MATLAB 2020a environment,and the proposed model shows a better trade-off than the existing approaches.Some evaluation metrics like pre-diction accuracy,sensitivity,specificity,AUROC,F1-score and recall are evalu-ated using the proposed model.The performance of the s?LSTM model is compared with existing approaches.The proposed model gives 89% accuracy,83% precision,86%recall,and 87%F-score.The proposed model outperforms the existing systems in terms of the earlier metrics.

Student’s Health Exercise Recognition Tool for E-Learning Education

Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.

Quality of Nursing Courses as Perceived by Students: Relationship with Their Academic Achievement in Palestine College of Nursing

The purpose of this study was to determine the Bachelor Science of Nursing (BSN), student’s perceptions of the quality of nursing courses taught at Palestine College of Nursing (PCN), which were fundamentals of nursing course, adult nursing course, pediatric nursing course, maternity nursing course, community nursing course, mental health and psychiatric nursing course and nursing management and leadership course, and its relationship with their academic achievement. The Palestine College of Nursing is governmental and Ministry of Health (MOH) affiliated. The sample included 467 nursing students registered in the college who studied the previously mentioned nursing courses. Data were collected using a self-administered questionnaire developed by the researcher, and guided by literature. That was to assess the included nine quality dimensions of the nursing courses as perceived by the students. Content validity and reliability tests were done for the tool. The study revealed that the total students’ perceptions of the quality of all nurses courses were within average quality level (80.42%). The nursing management course and community health nursing course were of the first two ranks of high quality level (84.54%, and 84.48%, respectively), where mental health and psychiatric nursing course, fundamentals of nursing course, adult health nursing course, pediatric nursing course and maternity health nursing course were the next ranks of average quality level. The study revealed that students’ perceptions of seven dimensions from nine were with average quality level (80.50%). The first rank was the “teacher/instructor characteristics and attributes”, dimension of high quality level (84.44%), while the last rank was “teaching methodology” dimension of average quality level (77.54%). There was a positive relationship between students’ achievement and the courses’ quality dimensions, pertaining objectives of the course, contents of the course, teacher/instructor competencies, teacher characteristics, teaching methodology, students/teacher interaction and course evaluation. The study recommended improving the quality of nursing courses for better level and to improve the quality of some dimensions like using different teaching strategies, the quality of clinical settings, and improve the quality of nursing instructors in some clinical areas. Finally the researcher recommend for further studies about concerning quality in nursing education.

Factors influencing quality of life in Chinese patients with dementia: a systematic review

Background:Dementia is a group of nervous system diseases characterized by progressive cognitive decline,leading to a loss of self-care ability and a decline in well-being.This places a significant burden on the global healthcare system,with Chinese patients accounting for approximately one-quarter of the world’s dementia cases.Therefore,it is crucial to identify factors that impact the quality of life(QOL)among elderly Chinese individuals with dementia.Method:To achieve this,we conducted a comprehensive search of several databases,including PubMed,Embase,Web of Science,the Cochrane Library,China National Knowledge Infrastructure,Wanfang Data,China VIP Database and China Biomedical Literature Database.We reviewed cross-sectional studies from the inception of these databases until March 27,2022.QOL outcomes were assessed using standardized scales in the studies included in this review.Results:The search yielded a total of 1,235 relevant articles,from which we finally included 21 cross-sectional studies and one longitudinal study after rigorous quality assessment.Among these,10 studies were classified as high quality,while 12 were classified as fair quality.Through our analysis,we identified 28 patient-rated QOL factors and 14 caregiver-rated QOL factors.These factors were categorized into three groups:patient,disease-related and caregiver.Factors commonly found to influence patient-rated QOL included age,education,marital status,depression,self-care ability,dementia severity,cognitive function,behavioral and psychological symptoms of dementia and caregiver burden.Similarly,factors commonly influencing caregiver-rated QOL included economic status,depression,self-care ability,dementia severity,cognitive function,behavioral and psychological symptoms of dementia and caregiving time.Conclusion:This review clarifies the factors that influence the QOL of Chinese individuals with dementia.When implementing interventions,it is crucial to consider the differences between patient-rated QOL and caregiver-proxy-rated QOL,as well as their respective influencing factors.

Practical Strategies to Improve the Quality of Teachers in Higher Vocational Colleges in the New Era

In this paper,practical strategies are proposed to improve the quality of teachers in higher vocational colleges.Research and analyses have shown that the key to improving the quality of teachers in higher vocational colleges lies in the improvement of professionalism,subject knowledge,and teaching ability.Thus,the following practical strategies are proposed:strengthen teachers’moral development,establish a teacher training system,focus on curriculum construction and teaching method innovation,and strengthen the teaching quality monitoring and evaluation mechanism.These measures can effectively improve the quality of teachers in higher vocational colleges and promote the development of higher vocational education.