Influence of personal and lesson factors on caloric expenditure in physical education

Increasing caloric expenditure in physical education is considered an effective school-based approach to addressing the child obesity epidemic.This study was designed to determine synergistic influences of student characteristics and lesson factors o caloric expenditure in elementary and middle school physical education.Methods:The study used a multi-level design.Level-1 factors included personal characteristics:age,gender,and body mass index.Level-2 factors included lesson length,content,and school level.Based on the Center for Disease Control and Prevention age-gender adjusted growth chart,students in 87 classes from 14 elementary and 15 middle schools were pre-screened into "Overweight","Healthy weight",or “Thin” groups.One boy and one girl were randomly selected from each group in each class as data providers(264 elementary and 294 middle school students).Caloric expenditure was measured in 243 physical education lessons using accelerometers.Results:Analysis of variance revealed and hierarchical linear modeling confirmed separate age by body mass index,age by gender,and content by lesson-length interaction effects,suggesting that the personal and lesson factors influenced caloric expenditure independently.Older male and heavier students burned more calories in all lessons.Students burned more calories in 45-60 min sport skill or fitness lessons than in shorter (30 min)or longer(75-90 min)game or multi-activity lessons.Conclusions:The hypothesized cross-level interaction was not observed in the data.Caloric expenditure can be optimized in 45-60 min sport skill or fitness development lessons.It can be recommended that schools adopt 45-60 min lesson length and provide skill and fitness development tasks in physical education to maximize caloric expenditure.Copyright(c)2012,Shanghai University of Sport.Production and hosting by Elsevier B.V.All rights reserved.

Big Five Personality Factors and Library Anxiety

Library anxiety is an unpleasant feeling that is experienced in a library location;it has behavioral, psychological, emotional and cognitive effect, which can be harmful for students’ academic career. The purpose of current study was to investigate the relationship between Library anxiety and the Big Five personality factors (neuroticism, extraversion, openness-to-experience, agreeableness, and conscientiousness) using a multivariate approach among students in Ardabil university. The participants were students of Ardabil University of Medical Sciences of which a sample of 580 students was randomly selected. And the assessment methods were revised. The short form of NEO Inventory [1] and the library anxiety questionnaire [2] were used to gather the data. The results showed that Neuroticism increased library anxiety in students, and with increasing the level of education, library anxiety is reduced, whereas by increasing the semester the library anxiety of students increases.

Predictive roles of organizational and personal factors in work engagement among nurses

Objective:To determine the work engagement levels of hospital nurses and the predictive roles that nurses’personal and organizational characteristics play.Methods:A cross-sectional design was employed in this study,which included 549 nurses working in the Central Philippines.Nurses were selected through purposive sampling,and a self-repor t questionnaire outlining personal and organizational characteristics was employed.The Utrecht Work Engagement Scale(UWES)was applied to gather data about nurse engagement.Results:The dedication score was the highest among the three dimensions of engagement while the vigor score was the lowest.Overall,Filipino nurses experienced an average level of work engagement.We observed significant relationships between a nurse’s age,years of experience in nursing,years in their present unit,and their position at work and their levels of engagement,vigor,sense of dedication,and absorption.Hospital capacity was a negative predictor of vigor,dedication,absorption,and overall work engagement.Fur ther,the type of nursing contract was a negative predictor of vigor and dedication.The type of hospital and the nurse’s position were positive predictors of vigor,dedication,and absorption.Conclusions:Filipino nurses were satisfactorily engaged at work.A number of nurses’personal and organizational characteristics play a predictive role in their work engagement.Thus,nursing administrators must suppor t,develop,and implement activities and measures that engage nurses at work.

Exploring Personal Factors That Might Influence the Vulnerability of Construction Employees to Occupational Psychological Disorders

Personal factors could act as intervening variables between the causes and effects of psychological health conditions of employees. This study focused on six personal intervening factors that were associated with the risks of occupational psychological disorders namely: low self-esteem, negative personality trait, unproductive core beliefs, poor self-concept evaluation on performance, poor relationship with others and poor time management skills. An investigation on the level of severity of these personal intervening factors was conducted involving 150 construction professionals and 150 construction trade workers, who were purposively selected in Ghana. The personal factors that were found to be prevalent among the construction employees were low self-esteem and poor time management skills. Correlation analysis and regression analysis were used to determine the relationships between the personal intervening factors and demographic factors such as the age, educational levels and marital status of the research participants. The results of the study indicated that the age and marital status of the respondents had no significant relationship with any of the personal intervening factors. Personal factors such as personality trait and relationship with others also had no relation with any of the demographic factors analyzed. The educational level of the respondents, however, had a significant relationship with the factors of self-esteem, productive core beliefs, self-evaluation on performance and time management skills. An independent two-sample T-test was used to compare the means of the factors with significant relations. This study revealed that construction employees who were highly educated had better self-esteem and time management skills than those who were less educated. The findings from this study broaden the view of moderators on influential sources of psychological health conditions of employees.

Impact of Personal Factors on China’s English Learners’ Pro?ciency

With the development of China’s economy and technology in recent years,English has gained a large popularity in China.The research concerning the Second Language Acquisition is growing deeper and deeper.Many scholars home and abroad have shared their thoughts to this topic.From the perspective of Chinese personal learners,three of main factors which influence their Second Language Acquisition will be briefly discussed in this essay,including learning strategy,learners’personality and learners’motivation.

Engineering personalized neural tissue using functionalized transcription factors

Diseases and disorders of the central nervous system often require significant interventions to restore lost function due to their com- plexity. Examples of such disorders include Parkinson＇s disease, Alzheimer＇s disease, multiple sclerosis, traumatic brain injury, and spinal cord in）ury. These diseases and disorders result trom healthy cells being destroyed, which in turn causes dysfunction in the cen- tral nervous system, The death of these cells can trigger a cascade of events that affect the rest of the body, causing symptoms that become progressively worse over time. Developing strategies for repairing the damage to the central nervous system remains chal- lenging, in part due to its inability to regenerate.

Protection Performance Evaluationof the Respirators and PersonalExposure Measurement in aBelgian Viscose Rayon Factory

This paper presents the evaluation results of protective performance of the respirators (full face supplied-fresh air respirators and half-mask active charcoal filter) and personal exposure measurement (Infacepiece sampling) in a Belgian viscose rayon factory. With in-facepiece sampling technique and personal sampling method, we measured the CS2 concentrations inside and outside of the different respirators. We found two kinds of the respirators have significant effect on decreasing the CS2 exposure level for the subject, especially for the spinners. Full face supplied-fresh air respirator have good protective effect for the spinners and have limit protection for the high exposure job although the PF value is more than 10. It still need to improve more. In-facepiece sampling for all the subjects exposed to CS2 in the factory found most subjects have exposed to low CS2 concentration, most exposure levels were under the control range, but sulfuror are high exposure, the exposure level is higher than ACGIH TLV value.

An Analysis of Personal Factors that Determine Carrie's Self ——Actualization in Sister Carrie

In Dreiser's novel Sister Carrie, the heroine Carrie's self-actualizing natures are reflected in her self-actualization effort. Those natures include the acceptance of reality and potential to be actress, etc., which play the crucial role of her star journey and self-actualizing effort. Therefore, every woman should have the spiritual spirit; and, at the same time, pursue nobler spiritual life.

A Method to Improve the Accuracy of Personal Information Detection

It is necessary to confirm the personal data factors and the rules of verification before conducting personal data detection. So that the detection method can be written in the subsequent implementation of the automatic detection tool. This paper will conduct experiments on common personal data factor rules, including domestic personal identity numbers and credit card numbers with checksums. We use ChatGPT to test the accuracy of identifying personal information like ID card identification numbers or credit card numbers. And then use personal data correlation to reduce the time for personal data identification. Although the number of personal information factors found has decreased, it has had a better effect on the actual manual personal data identification. The result shows that it saves about 45% of the calculation time, and the execution efficiency of the accuracy is also improved with the original method by about 22%, which is about 2.2 times higher than the general method. Therefore, the method proposed in this paper can accurately and effectively find out the leftover personal information in the enterprise. .

儿科护士个人掌控感现状及其影响因素的横断面研究

目的调查长春市某三级甲等综合医院儿科护士个人掌控感,并分析其影响因素,为儿科护士管理提供依据。方法采用便利抽样法,选取在长春市某三级甲等综合医院工作的340名儿科护士作为研究对象,采用一般资料调查表、个人掌控感量表(personal mastery scale,PMS)、职业获益感量表(nurses’perceived professional benefits scale,NPPBS)、中文版护理工作环境量表(practice environment scale,PES)进行调查,采用多重线性回归分析儿科护士个人掌控感总分的影响因素。结果321名儿科护士完成研究。儿科护士个人掌控感总分为(27.63±1.99)分,处于中上水平。多重线性回归分析结果显示,受聘形式、个人平均月收入、工作年限、每月夜班数,职业获益感及护理工作环境为儿科护士个人掌控感总分的影响因素(均P<0.05),可解释总变异的46.6%。结论儿科护士个人掌控感处于中上水平,有待提高。护理管理者可以采取针对性措施,提高儿科护士个人掌控感水平,从而促进儿科护理队伍的稳定和发展。

Research on the Influencing Factors of Personal Credit Based on a Risk Management Model in the Background of Big Data

Between states, between enterprises and enterprises, between people, it can be stated that credit is full of every corner of our lives. But the current lack of social credit is fundamental. Credit risk is particularly prominent. In the extensive data generation today, the information on personal credit statistics is very large, but still lack the data system processing and screening. Through the information retrieval of 200 credit information reports, this paper constructs the evaluation system of personal credit by using the basic information of the individual. The basic information of these individuals has great convenience in information collection and information statistics, and this basic information covers all aspects that are likely to result in the breach of contract. Through the use of single factor analysis and logistic model to solve the index system, you can not only find the impact of individual indicators on the degree of personal credit, but also see the overall impact of indicators on the degree of credit, that is, the weight of the indicators. Finally, four different credit ratings are divided by assigning the indicators to the scores. Credit rating can clearly measure the respective credit situation. Through the classification of these levels, measuring the credit line when a person in the individual credit operation, at the same time, it can provide reference and proval to administrative departments, which is benefit for managing credit risks. It has a substantial meaning and value in use. The solution to the rating system cannot only be applied to individuals, but also to the enterprises, with a wide range of versatility.

老年早期胃癌患者内镜治疗术后伴发营养不良的风险预测模型构建

目的 分析老年早期胃癌患者行内镜黏膜下剥离术(ESD)、内镜黏膜切除术(EMR)居家伴发营养不良的影响因素。方法 选取2022年1月-2023年12月在江苏省中医院接受早期胃癌行ESD或EMR治疗的80例老年患者作为研究对象,根据术后在居家环境中是否发生营养不良,将患者分为发生营养不良组(n=45)和未发生营养不良组(n=35)。采用单因素和多因素分析方法,探讨影响营养不良发生的高危因素。结果 单因素分析显示,2组高血压、血钾、血糖、血红蛋白检测值差异无统计学意义(P>0.05)。2组年龄、文化程度、焦虑得分、抑郁得分、早饱感、人格特质、术前低蛋白血症、术前血钙等均与胃癌患者术后发生营养不良有关(均P<0.05)。Logistic回归分析显示,年龄>75岁、抑郁得分>35分、有早饱感、焦虑得分≥29分、术前低蛋白血症等均为导致胃癌患者术后发生营养不良的独立危险因素(P<0.05)。以模型新生成概率值为依据,对该模型进行数据验证,绘制预测模型ROC曲线,可见AUC=0.862(95%CI:0.795~0.859)>0.75,最佳临界值为0.554,提示模型具有一定的预测能力。Hosmer-Lemeshow检验评价模型校准能力(χ^(2)=0.879,P=0.761>0.05),提示模型有良好的拟合优度。DCA结果显示,当营养不良临界概率值在9%~95%时,使用该模型能够获得较高的净收益。结论 本研究构建的老年早期胃癌患者术后营养不良风险预测模型,通过多因素Logistic回归分析发现,年龄>75岁、抑郁得分>35分、有早饱感、焦虑得分≥29分、术前低蛋白血症等可能为其独立危险因素。该模型经数据验证,具有较好的预测能力和校准度,且在营养不良临界概率值范围内显示出较高的净收益,可为临床实践中老年早期胃癌患者的术后营养管理提供参考。

AI人机交互用户个性化推荐中隐私信息披露影响因素研究

[目的/意义]以ChatGPT为代表的生成式人工智能的发展为人机交互带来颠覆性影响,也为数据安全与个人信息保护带来更大的冲击与挑战。对AI人机交互用户个性化推荐中隐私信息披露及个人信息保护问题的研究将具有重要的实践价值与意义。[方法/过程]文章通过对15名AI人机交互平台用户进行深度访谈,运用扎根理论研究方法进行编码分析,识别AI人机交互用户个性化推荐中隐私信息披露所涉及的个人信息类型和敏感信息类型,并对用户的隐私意识和影响用户隐私信息披露意愿的客观因素进行分析,进而提出加强隐私信息披露风险规制及个人信息安全保障的对策建议。[结果/结论]基于编码结果,将AI人机交互用户个性化推荐中隐私信息披露的影响因素归纳为用户因素、平台因素、社会环境因素、隐私权衡因素4个维度,以此建构理论分析模型,并作为强化AI人机交互用户个性化推荐中隐私信息披露风险规制及个人信息保护的重要指引。

广州市某医院脑梗死患者疾病经济负担研究

目的分析脑梗死患者次均住院费用,特别是次均住院自负费用的结构以及影响因素,为缓解患者疾病经济负担提供参考依据。方法运用描述性统计分析对广州市某三甲医院2015—2022年脑梗死出院患者的次均费用及费用结构进行比较分析,并采用多重线性分析法研究影响患者次均住院自负费用的因素。结果脑梗死患者次均住院费用增长放缓,年均增长率为2.86%;费用结构逐步优化,2022年次均技术劳务费占比47.41%;脑梗死患者次均住院自负费用呈增长趋势,年均增长率5.96%,且受住院时间、病例分型、付费方式以及患者来源等因素共同影响。结论脑梗死患者的疾病经济负担仍然较重,医疗机构应不断规范诊疗行为,加强临床路径管理,政府应该不断完善社会保障体系,降低患者的疾病经济负担。

基于事故树的高层建筑火灾分析及预防研究

为明确高层建筑火灾致因因素,通过运用事故树理论来分析高层建筑火灾。首先,根据事故树理论方法构建事故树,在构建事故树过程中对寻找到的基础事件进行因素分类,将其分为个人因素和组织因素;其次,通过对事故树中的逻辑关系进行布尔代数运算,找出最小割集和最小径集,通过计算出的最小割集和最小径集进行结构重要度计算,以确定在其模型结构中的重要程度;最后,将重要程度与其因素种类进行对应,找出在火灾中造成更大影响的因素种类,并结合实例进行分析。结果表明,事故树方法可以准确找出高层建筑火灾中造成更大影响的因素种类并得出科学有效的预防措施,为高层建筑火灾的安全管理和事故预防提供新的分析思路和参考。

Z世代生活碎片数字存档行为影响因素研究

随着数字化时代的发展,Z世代拥有许多可选择的日常记录设备,因此不可避免地会产生大量生活碎片,有序整理和保存这些有意义的生活碎片,方便Z世代日后查找翻阅和回忆纪念,建立属于个人的数字记忆档案。采用扎根理论挖掘出的Z世代生活碎片数字存档的主范畴来构建理论模型,并以结构方程模型分析的方式验证了模型的合理性。通过分析发现,社会背景、主观规范、存档价值、数据价值和自我效能会对Z世代生活碎片数字存档行为产生间接影响,存档意识、平台优势和平台担忧会对Z世代生活碎片数字存档行为产生直接影响。

妊娠期妇女抑郁情绪影响因素及其与人格特征的相关性

目的探讨妊娠期妇女抑郁情绪影响因素,分析抑郁情绪与人格特征的相关性。方法应用一般资料调查表、爱丁堡产后抑郁量表(EPDS)、艾森克人格问卷简式量表中国版(EPQ-RSC)、妊娠压力量表(PPS)对246名妊娠期妇女进行调查,采取Pearson相关分析评估抑郁情绪与人格特征和妊娠压力的相关性,采取Logistic回归分析评估妊娠期妇女抑郁情绪的影响因素。结果完成调查的242名妊娠期妇女中,共有36名孕妇EPDS评分≥13分(抑郁情绪组),206名孕妇EPDS评分<13分(正常组),抑郁情绪检出率为14.88%。抑郁情绪组妊娠期妇女精神质、神经质人格评分,PPS总分及各维度压力源评分均高于正常组,外倾性人格评分低于正常组(P<0.01)。妊娠期妇女抑郁情绪与精神质、神经质人格评分,PPS总分及各维度压力源评分均呈显著正相关,与外倾性人格评分呈显著负相关(P<0.01)。外倾性、精神质、神经质人格评分,PPS总分及文化程度、家庭人均月收入、妊娠意愿、睡眠情况、夫妻关系均是妊娠期妇女抑郁情绪的影响因素(P<0.05或0.01)。结论妊娠期妇女易产生抑郁情绪,且与人格特征、妊娠压力密切相关,医护人员应重视妊娠期妇女抑郁情绪相关影响因素评估,制定科学干预措施,改善抑郁情绪。

小儿足部畸形矫正手术后功能恢复的影响因素分析

目的:本研究旨在分析小儿足部畸形矫正手术后功能恢复的关键影响因素,并评估个性化康复计划对提高术后恢复效果的作用。方法:采用前瞻性队列研究设计,选取2023年1月至12月在特定医疗中心接受足部畸形矫正手术的100名小儿患者,随机分为实验组和对照组,每组50名。实验组除了接受常规术后护理外,还实施了包括个性化的物理治疗、营养干预、心理健康干预及家庭支持等在内的综合康复措施。结果:实验组在术后即刻恢复和随访期间的功能恢复评分显著优于对照组,表现在疼痛控制、运动范围、步态分析和独立行走能力等方面。结论:针对小儿足部畸形手术后的个性化康复计划能有效促进功能恢复,减少术后并发症,提升患儿的生活质量。这些发现强调了综合干预在儿童足部畸形手术后康复中的重要性,并为临床提供了更精准的治疗策略。

基于边缘计算的融合多因素的个性化推荐算法

针对传统推荐算法使用单一上下文信息不能有效地解决信息过载、数据稀疏、冷启动的问题,提出了一种基于边缘计算的融合多因素的个性化推荐算法F-SVD和新的用户相似度计算方法F-PEARSON(改进后的PEARSON相关系数).在边缘服务器处理个性化用户数据以分散云服务器的压力,目前大多采用的集中式处理方式无法在爆炸性式增长的数据下提供准确的推荐,在云服务器融合多因素挖掘用户之间的潜在关系,从而构建预测F-SVD算法.实验结果表明:在公开数据集MovieLens上,与传统算法相比,所提出的算法在RMSE和MAE上的误差更小,精确度提升了2.2%.

天津与上海35岁以上人群氮氧化物个体暴露水平及其影响因素

目的:对天津和上海35岁以上人群氮氧化物(nitrogen oxides,NO_(X))与二氧化氮(nitrogen dioxide,NO_(2))个体暴露水平进行测量,并探讨研究对象基线特征、居住环境情况及日常活动模式等因素对其影响。方法:采用定组研究,在天津和上海招募91名年龄35岁以上的研究对象,分别在夏季和冬季各进行3次随访(上海冬季因新型冠状病毒肺炎疫情影响只进行了1次随访),每两次随访之间间隔至少为2个星期,有27名研究对象参与了两个季节的研究。每次随访使用Ogawa被动式采样器测量个体24 h NO_(X)与NO_(2)暴露浓度,通过问卷和日志收集日常活动模式信息。采用混合线性效应模型分析不同因素对NO_(X)与NO_(2)个体暴露水平的影响。结果:两地人群共完成349人次有效的24 h内NO_(2)与NO_(X)个体暴露监测,天津夏季NO_(2)与NO_(X)个体暴露日均值(体积分数)分别为18.0×10^(-9)和26.2×10^(-9),天津冬季分别为31.0×10^(-9)和54.9×10^(-9),上海夏季分别为38.7×10^(-9)和100.0×10^(-9),上海冬季分别为45.5×10^(-9)和139.2×10^(-9)。单因素回归分析结果显示NO_(X)与NO_(2)个体暴露水平与城市、季节、性别、日均做饭次数以及监测站大气NO_(2)浓度显著相关。除以上因素外,NO_(X)个体暴露水平还与教育水平有显著关联,NO_(2)个体暴露水平还与是否被动吸烟、日均居家时间、烹饪燃料类型、住宅与交通主干道距离、是否使用抽油烟机存在显著关联。多因素回归分析显示,NO_(2)与NO_(X)个体暴露水平天津显著低于上海,夏季显著低于冬季,男性NO_(X)个体暴露水平显著高于女性。监测站NO_(2)浓度与NO_(2)和NO_(X)个体暴露水平呈显著正向关联;日均做饭次数与NO_(2)个体暴露水平之间呈显著正向关联,日均居家时间与NO_(2)个体暴露水平之间呈显著负向关联。大气NO_(2)浓度每升高1个四分位间距(interquartile range,IQR),即12.7×10^(-9),NO_(2)个体暴露水平上升27.5%[95%置信区间(confidence interval,CI):17.0%~38.9%],NO_(X)个体暴露水平上升16.1%(95%CI:7.1%~25.8%)。结论:不同季节、城市和大气NO_(2)浓度均可以影响NO_(2)与NO_(X)的个体暴露水平,同时NO_(2)个体暴露水平还受到生活习惯等因素的影响。