Mechanisms Influencing Learning Gains Under Information Security: Structural Equation Modeling with Mediating Effect

With the expanding enrollments in higher education,the quality of col-lege education and the learning gains of students have attracted much attention.It is important to study the influencing factors and mechanisms of individual stu-dents’acquisition of learning gains to improve the quality of talent cultivation in colleges.However,in the context of information security,the original data of learning situation surveys in various universities involve the security of educa-tional evaluation data and daily privacy of teachers and students.To protect the original data,data feature mining and correlation analyses were performed at the model level.This study selected 12,181 pieces of data from X University,which participated in the Chinese College Student Survey(CCSS)from 2018 to 2021.A confirmatory factor analysis was conducted and a structural equation modeling was conducted using AMOS 24.0.Through hypothesis testing,this study explored the mechanisms that influence learning gains from the per-spectives of student involvement,teacher involvement,and school support.The results indicated that the quality of student involvement has an important mediat-ing effect on learning gains and that a supportive campus environment has the greatest influence on learning gains.Establishing positive emotional communica-tions between teachers and students is a more direct and effective method than improving the teaching level to improve the quality of student involvement.This study discusses the implications of these results on the research and practice of connotative development in higher education.

Change in self-image pressure level before and after autologous fat breast augmentation and its effect on social adaptability

BACKGROUND There is an increasingly strong demand for appearance and physical beauty in social life,marriage,and other aspects with the development of society and the improvement of material living standards.An increasing number of people have improved their appearance and physical shape through aesthetic plastic surgery.The female breast plays a significant role in physical beauty,and droopy or atrophied breasts can frequently lead to psychological inferiority and lack of confidence in women.This,in turn,can affect their mental health and quality of life.AIM To analyze preoperative and postoperative self-image pressure-level changes of autologous fat breast augmentation patients and their impact on social adaptability.METHODS We selected 160 patients who underwent autologous fat breast augmentation at the First Affiliated Hospital of Xinxiang Medical University from January 2020 to December 2022 using random sampling method.The general information,selfimage pressure level,and social adaptability of the patients were investigated using a basic information survey,body image self-assessment scale,and social adaptability scale.The self-image pressure-level changes and their effects on the social adaptability of patients before and after autologous fat breast augmentation were analyzed.RESULTS We collected 142 valid questionnaires.The single-factor analysis results showed no statistically significant difference in the self-image pressure level and social adaptability score of patients with different ages,marital status,and monthly income.However,there were significant differences in social adaptability among patients with different education levels and employment statuses.The correlation analysis results revealed a significant correlation between the self-image pressure level and social adaptability score before and after surgery.Multiple factors analysis results showed that the degree of concern caused by appearance in selfimage pressure,the degree of possible behavioral intervention,the related distress caused by body image,and the influence of body image on social life influenced the social adaptability of autologous fat breast augmentation patients.CONCLUSION The self-image pressure on autologous fat breast augmentation patients is inversely proportional to their social adaptability.

Meta-analytic structural equation modeling:a primer

Meta-analytic structural equation modeling is a new research field which can help to explain the relationship between a group of variables in several studies by testing structural equation modeling.However,this methodology is still not very popular in many countries and researchers due to lack of promotion.This report aim s to giv e a primer on the principle of m eta-analytic structural equation modeling and provid e a reference for subsequent researchers to conduct m eta-analytic structural equation modeling analysis.

New approaches to cognitive work analysis through latent variable modeling in mining operations

This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and latent variables,could be used to facilitate researchers’understandings of the underlying constructs or hypothetical factors and their magnitude of effect that constitute a complex system.This enhanced understanding,in turn,can help emphasize the important factors to improve mine safety.The most commonly used techniques include the exploratory factor analysis(EFA),the confirmatory factor analysis(CFA)and the structural equation model with latent variables(SEM).A critical comparison of the three techniques regarding mine safety is provided.Possible applications of latent variable modeling in mining engineering are explored.In this scope,relevant research papers were reviewed.They suggest that the application of such methods could prove useful in mine accident and safety research.Application of latent variables analysis in cognitive work analysis was proposed to improve the understanding of human-work relationships in mining operations.

Perturbation Analysis of the Attached Water Mass Effect on Offshore Platform Dynamic Response

Theoretically speaking, it is impossible to make the differential equation of motion uncoupled for the natural modes of a system in consideration of the attached water. The hydro-elastic structure is equal to the non-proportional damping system. In this paper a perturbation analysis method is put forward. The structure motion equation is strictly solved mathematically, and the non-proportional damping problem is transformed into a series of proportional damping ones in the superposition form. The paper also presents the calculation formula of the dynamic response of the structure being subjected to harmonic and arbitrary load. The convergence of the proposed method is also studied in this paper, and the corresponding convergence conditions are given. Finally, the proposed method is used to analyze the displacement response of a real offshore platform. The calculation results show that this method has the characteristics of high accuracy and fast convergence.

BRIDGE-TOUGHENING ANALYSIS OF THE FIBER REINFORCED COMPOSITE CONTAINING INTERPHASE EFFECT

A detailed fracture mechanics analysis of bridge-toughening in a fiber reinforced composite is presented in this paper. The integral equation governing bridge-toughening as well as crack opening displacement (COD) for the composite with interfacial layer is derived from the Castigliano's theorem and interface shear-lag model. A numerical result of the COD equation is obtained using the iteration solution of the second Fredholm integral equation. In order to investigate the effect of various parameters on the toughening, an approximate analytical solution of the equation is present and its error analysis is performed, which demonstrates the approximate solution to be appropriate. A parametric study of the influence of the crack length, interfacial shear modules, thickness of the interphase, fiber radius, fiber volume fraction and properties of materials on composite toughening is therefore carried out. The results are useful for experimental demonstration and toughening design including the fabrication process of the composite.

A two-parameter mathematical model for immobilizedenzymes and Homotopy analysis method

A two parameter mathematical model was developed to find the concentration for immobilized enzyme systems in porous spherical particles. This model contains a non-linear term related to reversible Michaelies-Menten kinetics. Analytical expression pertaining to the substrate concentration was reported for all possible values of Thiele module φ and α . In this work, we report the theoretically evaluated steady-state effectiveness factor for immobilized enzyme systems in porous spherical particles. These analytical results were found to be in good agreement with numerical results. Moreover, herein we employ new “Homotopy analysis method” (HAM) to solve non-linear reaction/diffusion equation.

混合式学习效果影响因素及机制研究——基于结构方程模型的实证分析

混合式学习已成为高等教育的一种教学新常态,其中学生的学习效果更值得关注。该研究立足于教学活动的双重主体——教师与学生,基于3P学习分析框架,构建了学生学习预备、教师教学能力、感知易用性、感知有用性、交互行为、学习氛围与在线学习效果之间的关系模型,并采用结构方程模型法分析其作用关系和影响效应。相关研究表明,学生的学习背景对学习过程及学习结果均有显著正向影响;教师作为教学活动的核心主体,其教学能力对学生学习过程体验具有重要作用;感知易用性、感知有用性、交互行为、学习氛围对于混合式学习中学生的认知收获、主观情感体验均能产生正向影响。最后,提出优化学生混合式学习效果的方向和路径,以期为高校混合式学习提供参考。

多维驱动因素联动效应对企业数字化创新的影响——基于SEM与fsQCA的实证分析

随着云计算、大数据、人工智能等数字科技蓬勃发展,数字化创新深刻影响着企业创新与运营模式。利用结构方程模型(SEM)与模糊集定性比较分析方法(fsQCA)分析技术不确定性、市场不确定性、企业家精神、组织学习、组织忘记对企业数字化创新的影响。结果发现:技术不确定性、市场不确定性、企业家精神、组织学习、组织忘记和数字化创新6个要素存在因果线性关系,并发现学习主导型、市场驱动学习型和市场主导型3条数字化创新路径,以及3条非高数字化创新路径。其中,市场驱动学习型最有可能激发数字化创新。结合结构方程模型(SEM)分析结果,比较上述6条路径发现,数字化创新的影响因素具有非对称性,3条非高数字化创新路径并不是3条高数字化创新路径的对立面。

糖尿病专科护士核心能力影响因素的结构方程分析

目的通过相关性分析和结构方程模型阐明影响糖尿病专科护士核心能力的影响因素,以期为糖尿病专科护士的管理和培养提供理论依据。方法选取广东省护理学会2016年—2021年培养的糖尿病专科护士为研究对象。采用自制的核心能力相关因素问卷(包括糖尿病护理及教育相关行为、糖尿病护理科研相关行为、继续教育相关行为、工作环境相关支持共4个维度)、糖尿病专科护士核心能力问卷对研究对象进行调查。共计发放问卷213份,回收有效问卷213份,有效回收率100%。采用相关性分析和结构方程模型对糖尿病专科护士核心能力的影响因素进行分析。结果广东省糖尿病专科护士核心能力总体处于中等偏上水平,得分较低者为科研能力20.02±6.86分,得分最高者为健康教育能力70.25±9.45分。糖尿病护理及教育相关行为、糖尿病护理科研相关行为、继续教育相关行为、工作环境相关支持与糖尿病专科护士核心能力之间具有相关性(r=0.156~0.764,P<0.05);结构方程模型显示,护理及教育相关行为对核心能力的影响最大(0.25),其次为科研相关行为(0.23),继续教育相关行为(0.13),工作环境相关支持对核心能力的影响最小(0.07)。科研相关行为、继续教育相关行为、工作环境相关支持可通过护理及教育相关行为的中介作用间接影响糖尿病专科护士核心能力。结论护理管理者应该重视糖尿病专科护士护理及教育相关行为,促进其科研相关行为,鼓励继续教育相关行为并提供工作环境相关支持来提高糖尿病专科护士核心能力。

基于Meta-SEM的建筑工人安全行为影响机制研究

为梳理建筑工人安全行为的前因变量并分析其影响机制,基于从众动机和计划行为理论,构建了建筑工人安全行为影响机制理论模型,运用元分析-结构方程模型(Meta-Structural Equation Modeling,Meta-SEM)法对国内外64项实证研究中的128个独立样本进行系统分析,以明确各前因变量与建筑工人安全行为的相互作用关系并探讨企业规模的调节作用。结果表明:在个体层面,安全意识、安全态度、安全动机与建筑工人安全行为的相关系数分别为0.663、0.513、0.509;在组织管理层面,安全氛围与建筑工人安全行为的相关系数为0.678;安全意识、安全态度、安全动机是安全氛围与建筑工人安全行为之间的中介变量;企业规模对安全意识、安全动机、安全氛围与建筑工人安全行为的关系间存在显著调节作用,其中,中小型企业的影响更显著。研究结论可为后续建筑工人安全行为研究提供一定的理论基础,也为建筑业管理者提供了管理依据。

深中通道钢壳-混凝土组合沉管浇筑变形研究

深中通道沉管管节采用钢壳-混凝土组合结构形式,通过向空钢壳浇筑混凝土预制而成。为评估沉管管节施工后的整体变形,建立了热-结构顺序耦合的分析框架,基于ANSYS APDL及UFPs二次开发模块,分别建立了考虑水化度、日照辐射、大气温度变化的精细温度场模型和考虑混凝土硬化及收缩特性的结构分析模型。通过对足尺管节的温度及应变模拟结果与监测数据的对比,验证了有限元模型的可靠性。在此基础上,分析了日照辐射、大气温度变化等对于管节温度场的影响,同时分析了管节的整体变形模式,以及温度效应、混凝土收缩及自重三种因素对管节整体横向、纵向及竖向变形的影响。结果表明:管节施工过程的温度场表现为时变和空间分布的特征,格仓边部温度受外界气温变化和日照辐射的影响存在周期性波动,而格仓中部温度峰值主要受混凝土自身水化放热特性的控制;管节最终表现为顶板横向及纵向内收,竖向下挠,底板横向及竖向变形不显著;太阳辐射对于结构温度场影响较日气温变化更显著,建议在混凝土温度峰值预测中予以考虑,而日气温变化可采用日平均气温值予以简化;温度效应及材料收缩对管节横向及纵向整体变形影响显著,自重因素导致的变形在横向及纵向的比例为44.3%、11.7%,而在竖向所占比例达92.5%,因而温度效应及材料收缩在管节横向及纵向变形分析中不可忽视;该分析方法可适用于大体积混凝土等结构的温度效应的预测和评估。

高职院校教育质量内部交互影响机制研究——基于S学院CCSS调查数据的中介效应分析

基于S学院CCSS调查的3177个样本数据,通过效度检验、模型拟合度检验、路径分析、中介效应检验等,验证包括学生动机、课程学习投入、向学/厌学的学生因素,支持性校园环境、课程质量的院校因素,以及生师互动、生生互动、学生权力三个中介变量对教育质量的影响程度及作用机制。研究结果表明:高职院校教育质量受到内部多重因素交互作用及影响;生师互动对教育质量的中介影响呈现类型化差异;教育收获和就业力对生生互动影响最为敏感;教育质量受学生权力中介效应影响不容忽视。

双循环推动高质量就业的传导路径和作用机制——基于结构方程模型的多重中介效应检验

随着新时期我国社会发展主要矛盾的深刻变化,高质量就业成为立足新发展阶段、贯彻新发展理念、构建新发展格局、推进高质量发展的重要抓手。基于《中国统计年鉴》和中国劳动力动态调查2012—2018年四期面板数据,利用结构方程模型(SEM)分析了双循环影响我国高质量就业的传导路径及作用机制。研究发现:内、外循环之间的协调互动可以显著促进高质量就业,其效应贡献率为45.15%;双循环所带来的技术进步、产业结构升级、人力资本积累是推动高质量就业的重要渠道,其效应贡献率为54.85%,其中,技术进步发挥的中介效应最强,贡献率为32.56%,产业结构升级和人力资本积累的贡献率分别为4.84%和5.89%。因此我国要充分依托国内超大规模市场优势,继续推动高水平对外开放,提升双循环的互动水平。同时充分发挥技术进步的“牵引器”、产业结构升级的“助推器”以及人力资本积累的“支撑轴”作用,从政策上支持我国在加快构建双循环新发展格局中更好地同步推动高质量就业。

老年人驾驶暴露行为影响因素交互作用分析

年龄增长带来的身体机能衰退迫使老年人调整驾驶行为,自我调节作为补偿老年人健康状况和降低驾驶风险的策略,能够有效延长驾驶时间和降低驾驶风险。为探究老年人个人生理心理因素和社会环境因素对自我调节中驾驶暴露行为的影响,设计问卷并在昆明市开展调查,回收老年人出行调查问卷后对问卷数据进行分析处理,采用Cronbachα信度系数、KMO测度值和验证性因子检验问卷信度效度。统计分析发现,不同年龄段和就业情况的老年驾驶人在驾驶暴露行为上存在显著差异,病史和药物服用会影响老年人驾驶暴露行为,老年人对短距离的频繁出行更有信心。通过构建中介效应分析和结构方程模型探究老年驾驶人驾驶暴露行为影响因素,结果表明:年龄与驾驶暴露行为(r=-0.157^(**),p<0.05)呈显著负相关,驾驶能力与驾驶暴露行为(r=0.182^(**),p<0.05)呈显著正相关;驾驶能力在社会支持和驾驶暴露行为之间起完全中介作用。

声誉对互联网医院使用意愿影响的多元路径分析——基于SEM和fsQCA的实证分析

目的:探究声誉对互联网医院使用意愿的影响,对优化互联网医院服务供给模式,提高患者就医体验,促进医院高质量发展都具有重要意义。方法:基于信息-解释-响应(I-I-R)理论构建声誉对互联网医院使用意愿影响框架模型,采用结构方程模型(SEM)和模糊集定性比较分析法(fsQCA)对互联网医院的使用意愿和组态路径进行实证分析。结果:医院社会责任、医院实力和医生声誉正向影响评估性态度,路径系数由强到弱依次为0.360、0.301和0.260;医院实力和医院社会责任正向影响情感性态度,路径系数分别为0.449和0.272;评估性态度和情感性态度正向影响使用意愿,路径系数分别为0.519和0.386。且以医院社会责任型和医生声誉+医院实力型为核心条件可构成两种模式下的六条有效路径。结论:医生声誉、医院实力和医院社会责任对提高互联网医院使用意愿最有效。医院应构建专业度高的医疗服务平台,提高知名度;应定期开展学习和培训,更新医疗设备,保持信息公开透明,积极承担社会责任,提高医院实力;医生应改善服务态度,提高线上互动性。

平台企业社会责任治理沟通效果影响因素分析

在数字化时代背景下,随着新兴商业模式中平台企业的快速崛起,对经济、社会和环境等多个领域产生了深远的影响。数字化时代也赋予了社会责任治理新的维度和挑战,研究平台企业社会责任治理变得日益重要。沟通是社会责任治理中至关重要的一环,良好的沟通效果能够提高平台企业的社会形象和声誉,进而增强顾客的信任和忠诚度。文章以信息沟通理论和归因理论为基础,构建了在沟通过程中不同因素对沟通效果影响的模型,通过网络在线问卷调查,运用结构方程模型进行实证研究。研究结果表明,意见领袖、信息质量对利益相关者认知有显著正向影响,利益相关者认知、平台回应时效、平台回应信息量、渠道开放性和多样性对沟通效果有正向影响,而企业治理结构对利益相关者认知无显著正向影响。

易筋经特定动作“卧虎式”治疗非特异性腰背痛的结构方程建模及相关分析

目的从身体、行为、心理三方面进行多学科整体干预,阐释非特异性腰背痛(non-specific low back pain,NSLBP)的内在机制。方法收集易筋经特定动作“卧虎式”治疗NSLBP的相关表面肌电(surface electromyography,sEMG)信号、三维步态分析系统信号、心理量表结论等,将收集数据通过结构方程方法分析、建模,形成“多裂肌-运动功能-生活质量”特征模型,以期阐述易筋经“卧虎式”训练治疗NSLBP的作用机制。结果NSLBP患者腰部L5~S1多裂肌sEMG信号与治疗前相比显著增加(P<0.05)。患者治疗后步幅、步频、步速、髋屈曲最大角度、膝屈曲最大角度均显著增加(P<0.05);支撑相、摆动相、踝跖屈最大角度均显著降低(P<0.05)。“卧虎式”训练前后患者SF-36评分生理、心理、精神、情感差异均有统计学意义(P<0.05);结构方程模型(structural equation model,SEM)表明平均肌电(average electromyography,AEMG)、步长对于Roland-Morris评分、SF-36评分均产生0.001水平的显著影响;AEMG、步长对于Roland-Morris评分、SF-36评分产生正向的影响关系;标准化载荷系数均大于0.6,模型拟合效果良好。结论SEM模型拟合效果良好,模型结果可靠,能够多层面有效阐述易筋经特定动作“卧虎式”治疗NSLBP的作用原理。

双碳背景下居民快递包装回收行为研究

在“双碳”背景下,针对目前中国快递包装回收率低的问题,利用湖南省高校学生家庭的308份调研数据,研究居民快递包装回收行为影响因素。以拓展的计划行为理论为基础,通过构建结构方程模型(structural equation model,SEM)进行验证分析,并替换不同模型,用线性回归对结果进行稳健性检验。研究结果表明:感知行为控制和低碳自我认同感对居民快递包装回收意愿的影响程度明显高于回收态度、主观规范;实施垃圾分类会显著正向调节回收意愿与回收行为之间的关系,并且实施垃圾分类的程度越高,发生快递包装回收实际行为的可能性越大。

新能源汽车政策下居民出行意向多群组分析

为研究新能源汽车政策对不同群体居民出行意向影响存在的差异性问题,提出新能源汽车政策下居民出行意向多群组模型.以计划行为理论为基础,整合居民对新能源汽车政策的态度、响应程度以及低碳理念,构建新能源汽车政策下居民出行意向模型,并对模型进行检验及修正,划分多群组,对修正后的模型进行多群组分析,研究新能源汽车政策对不同出行方式偏好群体影响机理的差异性.研究结果表明:居民对新能源汽车政策的态度、响应以及低碳理念对出行态度、主观规范、知觉行为控制以及行为意向的影响在不同出行方式偏好下存在显著差异;居民对新能源汽车政策的态度越积极、低碳理念越强,则选择新能源汽车或公共交通出行的意向越强;居民对新能源汽车政策的响应越积极,则选择新能源汽车出行的意向越强;改善居民对新能源汽车政策的态度、响应,可促进新能源汽车的使用;通过提升居民的低碳理念,可提高居民采用公共交通或新能源汽车出行的意向.研究可为通过交通政策调整居民出行意向以及制定交通政策提供参考.