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.

Mediation effects of social support on relationships of perceived environment and self-efficacy with school-based physical activity: A structural equation model tailored for Japanese adolescent girls

Background: Identifying correlates of physical activity that can be targeted as potential mediators is important for developing interventions to promote physical activity in adolescent girls. However, the mediated effects of multilevel correlates of physical activity remain poorly understood. Therefore, the present study aimed to examine direct and mediated effects of personal, social and perceived school physical environmental factors on school-based physical activity of Japanese adolescent girls. Methods: In this cross-sectional survey of the Japanese adolescent lifestyles, 344 junior high school girls were invited to complete self-report measures of age, grade, weight, height, self-efficacy, social support (family, friends and teachers), perceived school physical environment (equipment, facilities and safety) and physical activity at school (min per week during lunch time and after- school hours). Structural equation modeling analysis controlling for age was performed to examine the effects of body mass index (BMI), self-efficacy, social support and school physical environmental variables on lunchtime and after-hours physical activity. Results: The final structural model demonstrated an acceptable fit for each context-specific physical activity. During lunch recess, perceived equipment and friend support exhibited direct effects on physical activity;perceived facilities, safety, and self-efficacy were indirectly associated with physical activity through friend support. During after-school hours, both family and friend support directly affected physical activity at school;perceived safety, facilities and self-efficacy exhibited indirect effects on physical activity through family or friend support. However, there were no significant associations between equipment and after-school-hours physical activity. Regardless of contexts, BMI had neither direct nor indirect effects on physical activity. Conclusion: Social support from family and friends was identified as factors mediating the effects of perceived environment and self-efficacy on school-based physical activity among Japanese adolescent girls. This finding encourages the future development of effective interventions to promote physical activity through family and friend support in the future.

Assistive technologies and habit development:a Semiotic Model of Technological Mediation

In the field of philosophy of technology,the concept of mediation is central to understanding how technology shapes human experience and behavior.Our aim in this paper is to contribute to the understanding of technological mediation,in particular how and why it is possible.Technological mediation occurs within a mediation space between the technological realm and the user realm.In the technological realm,technology regularizes events and actions,while in the user realm,the user interprets the significative potential of the technology.This interpretation process is identical with use and involves the formation of user habits,which are constrained by technological,cognitive,and sociocultural factors.To provide a theoretical framework for our analysis,we propose the Semiotic Model of Technological Mediation(SMTM),which draws on Charles Peirceʼs semiotics.To illustrate our argument,we focus on assistive technology and provide a recurring example of the Medimi®Smart,a digital,comprehensive system for medication handling.

Angiogenesis in a 3D model containing adipose tissue stem cells and endothelial cells is mediated by canonical Wnt signaling

Adipose-derived stromal cells （ASCs） have gained great attention in regenerative medicine. Progress in our understanding of adult neovascularization further suggests the potential of ASCs in promoting vascular regeneration, although the specific cues that stimulate their angiogenic behavior remain controversial In this study, we established a three-dimensional （3D） angiogenesis model by co-culturing ASCs and endothelial cells （ECs） in collagen gel and found that ASC-EC-instructed angiogenesis was regulated by the canonical Wnt pathway. Furthermore, the angiogenesis that occurred in implants collected after injections of our collagen gel- based 3D angiogenesis model into nude mice was confirmed to be functional and also regulated by the canonical Wnt pathway. Wnt regulation of angiogenesis involving changes in vessel length, vessel density, vessel sprout, and connection numbers occurred in our system. Wnt signaling was then shown to regulate ASC- mediated paracrine signaling during angiogenesis through the nuclear translocation of β-catenin after its cytoplasmic accumulation in both ASCs and ECs. This translocation enhanced the expression of nuclear cofactor Lef-1 and cyclin D1 and activated the angiogenic transcription of vascular endothelial growth factor A （VEGFA）, basic fibroblast growth factor （bFGF）, and insulin-like growth factor 1 （IGF-1）. The angiogenesis process in the 3D collagen model appeared to follow canonical Wnt signaling, and this model can help us understand the importance of the canonical Wnt pathway in the use of ASCs in vascular regeneration.

Investment in deepwater oil and gas exploration projects:a multi-factor analysis with a real options model

Deepwater oil and gas projects embody high risks from geology and engineering aspects, which exert substantial influence on project valuation. But the uncer- tainties may be converted to additional value to the projects in the case of flexible management. Given the flexibility of project management, this paper extends the classical real options model to a multi-factor model which contains oil price, geology, and engineering uncertainties. It then gives an application example of the new model to evaluate deepwater oil and gas projects with a numerical analytical method. Compared with other methods and models, this multi-factor real options model contains more project information. It reflects the potential value deriving not only from oil price variation but also from geology and engi- neering uncertainties, which provides more accurate and reliable valuation information for decision makers.

A branch-and-bound algorithm for discrete multi-factor portfolio optimization model

In this paper, a new branch-and-bound algorithm based on the Lagrangian dual relaxation and continuous relaxation is proposed for discrete multi-factor portfolio selection model with roundlot restriction in financial optimization. This discrete portfolio model is of integer quadratic programming problems. The separable structure of the model is investigated by using Lagrangian relaxation and dual search. Computational results show that the algorithm is capable of solving real-world portfolio problems with data from US stock market and randomly generated test problems with up to 120 securities.

Multi-factor high-order intuitionistic fuzzy timeseries forecasting model

Fuzzy sets theory cannot describe the neutrality degreeof data, which has largely limited the objectivity of fuzzy time seriesin uncertain data forecasting. With this regard, a multi-factor highorderintuitionistic fuzzy time series forecasting model is built. Inthe new model, a fuzzy clustering algorithm is used to get unequalintervals, and a more objective technique for ascertaining membershipand non-membership functions of the intuitionistic fuzzy setis proposed. On these bases, forecast rules based on multidimensionalintuitionistic fuzzy modus ponens inference are established.Finally, contrast experiments on the daily mean temperature ofBeijing are carried out, which show that the novel model has aclear advantage of improving the forecast accuracy.

Modeling and Estimation of the Kinetics of Seeded Solvent-mediated Phase Transformation in a Batch Crystallizer

Modeling the kinetics of the preparing process is necessary to produce a product with the appropriate particle properties and minimum production cost.Owing to the lackness of crystal size distributor （CSD） information,however,solvent-mediated phase transformation encounters difficulty in modeling the kinetics as compared to solution crystallization.Consequently,a model was established by making the product CSD to move along by horizontal translation to obtain the CSDs of the stable phase in the process of transformation.Then the moment method was used to solve the popular balance equation,and the least square nonlinear regression method was applied to estimate the kinetics parameters.The model has been successfully used to simulate the transformation of CaSO4？2H2O to α-CaSO4？1/2H2O in an isothermal seeded batch crystallizer with different stirring speeds,and it is beneficial to producing high performance α-CaSO4？1/2H2O crystals which have the right particle characteristics.

Anatomical distributional defects in mutant genes associated with dominant intermediate Charcot-Marie-Tooth disease type C in an adenovirus-mediated mouse model

Dominant intermediate Charcot-Marie-Tooth disease type C（DI-CMTC） is a dominantly inherited neuropathy that has been classified primarily based on motor conduction velocity tests but is now known to involve axonal and demyelination features.DI-CMTC is linked to tyrosyl-t RNA synthetase（YARS）-associated neuropathies,which are caused by E196 K and G41 R missense mutations and a single de novo deletion（153-156 del VKQV）.It is well-established that these YARS mutations induce neuronal dysfunction,morphological symptoms involving axonal degeneration,and impaired motor performance.The present study is the first to describe a novel mouse model of YARS-mutation-induced neuropathy involving a neuron-specific promoter with a deleted mitochondrial targeting sequence that inhibits the expression of YARS protein in the mitochondria.An adenovirus vector system and in vivo techniques were utilized to express YARS fusion proteins with a Flag-tag in the spinal cord,peripheral axons,and dorsal root ganglia.Following transfection of YARS-expressing viruses,the distributions of wild-type（WT） YARS and E196 K mutant proteins were compared in all expressed regions; G41 R was not expressed.The proportion of Flag/green fluorescent protein（GFP） double-positive signaling in the E196 K mutant-type mice did not significantly differ from that of WT mice in dorsal root ganglion neurons.All adenovirus genes,and even the empty vector without the YARS gene,exhibited GFP-positive signaling in the ventral horn of the spinal cord because GFP in an adenovirus vector is driven by a cytomegalovirus promoter.The present study demonstrated that anatomical differences in tissue can lead to dissimilar expressions of YARS genes.Thus,use of this novel animal model will provide data regarding distributional defects between mutant and WT genes in neurons,the DICMTC phenotype,and potential treatment approaches for this disease.

数字经济对体育产业高质量发展的影响——基于中介模型和门槛模型的检验

对我国19个省级行政区2012—2021年的面板数据进行实证分析,通过建立中介模型和门槛模型探究数字经济与我国体育产业高质量发展的关系。结果显示:①在固定效应模型的基础上进行实证分析发现,数字经济对体育产业高质量发展产生推动作用;②在数字经济促进体育产业高质量发展过程中,产业结构作为中介变量、科技创新作为调节变量在其中起到相应的促进作用;③数字经济与体育产业高质量发展之间显著存在产业结构一阶门槛和科技创新二阶门槛效应。提出:应从提升数字经济发展水平、优化产业结构以及提升科技创新水平等方面促进体育产业高质量发展,推进社会主义现代化体育强国建设。

信息技术与企业绩效:知识管理能力与商业模式创新的链式中介作用

信息化时代背景下,企业可以通过先进的信息技术提高管理能力与组织绩效。基于资源基础观和动态能力理论,依循“资源—能力—绩效”的逻辑,以知识管理能力和商业模式创新为中介,探讨信息技术对企业绩效的影响机理。以创新型企业为研究对象,采用问卷调查法收集297份样本数据,并运用偏最小二乘结构方程模型和模糊集定性比较分析方法进行实证检验。结果表明,信息技术对知识管理能力和企业绩效的正向直接效应均显著,知识管理能力对商业模式创新、商业模式创新对企业绩效的正向直接效应均显著,且商业模式创新与知识管理能力在信息技术对企业绩效的正向影响中发挥链式中介作用;企业实现高水平绩效存在3种组态,也间接证实知识管理能力与商业模式创新在信息技术与企业绩效之间存在链式中介效应。研究有助于增进对信息技术与企业绩效间作用关系的理解,丰富资源基础观与动态能力理论,进而为创新型企业可持续成长提供路径指引。

Parental Psychological Control and Internet Gaming Disorder Tendency:A Moderated Mediation Model of Core Self-Evaluation and Intentional Self-Regulation

Internet gaming disorder(IGD)among junior high school students is an increasingly prominent mental health concern.It is important to look for influences behind internet gaming disorder tendency(IGDT)in the junior high school student population.The present study aimed to reveal the explanatory mechanisms underlying the association between parental psychological control(PPC)and internet gaming disorder tendency among junior high school students by testing the mediating role of core self-evaluation(CSE)and the moderating role of intentional self-regulation(ISR).Participants in present study were 735 Chinese junior high school students who completed offline self-report questionnaires on parental psychological control,core self-evaluation,intentional self-regulation,and Internet gaming disorder tendency.Analyses were conducted via mediation and moderated mediation.The results showed that:(1)Parental psychological control was positively related to junior high school students’Internet gaming disorder tendency.Core self-evaluation,and intentional self-regulation were negatively related to junior high school students’Internet gaming disorder tendency,respectively.(2)Core self-evaluation partially mediated the relationship between parental psychological control and junior high school students’Internet gaming disorder tendency.(3)Intentional self-regulation moderated the association between parental psychological control and Internet gaming disorder tendency,as well as the relationships between parental psychological control and core self-evaluation and core self-evaluation and Internet gaming disorder tendency in the mediated model.Based on these findings,we believe that there is a need to weaken parental psychological control,strengthen junior high school students’core self-evaluation and intentional self-regulation,and to recognize the important role of parents as well as their children’s personal positive traits in the healthy development of junior high school students.

家庭住房负担对流动人口生育行为的影响——基于个体和流入地多层线性模型的检验

能否揭示住房负担对流动人口生育行为的影响机制是促进住房市场和人口和谐发展、提振生育的关键所在。在构建住房负担与流动人口生育行为关系模型基础上,采用能将流动人口微观个体和流入地宏观特征相联结的多层嵌套模型,检验住房负担对流动人口生育行为的影响及长期居住意愿在其中的重要作用。在此基础上,分别按结婚时间、第一胎性别将样本分组,剖析二者关系的异质规律。研究发现:住房负担加重是流动人口生育低迷的重要原因,且流入地的人均GDP会强化其对流动人口生育的抑制作用;长期居住意愿在住房负担对流动人口生育行为的影响中起到了部分中介作用,住房负担加重造成流动人口社会融入感和长期居住意愿下降,进一步加剧生育抑制效应;住房负担对流动人口生育行为的影响会随流动人口结婚时间长短、第一胎性别的不同而呈现异质性特征。

高等教育、区域创新能力与数字经济发展

在加快建设数字中国的时代背景下,对高等教育与数字经济之间的关系进行探索有助于优化高等教育的定位和资源配置,并赋能经济社会高质量发展。本研究基于2011—2020年我国各省份的面板数据,实证探究高等教育对区域数字经济发展的影响效应、作用机制和异质性特征。研究发现,高等教育是区域数字经济发展的重要推动力量,其正向影响效应在使用工具变量缓解内生性问题后仍然稳健;区域创新能力是高等教育驱动数字经济增长的有效机制;高等教育对数字经济的贡献具有明显的时序动态性和区域异质性。基于研究结果,未来我国应彰显数字经济发展中的高校力量,通过探索数字创新人才培养体系、实施差异化产学研融合策略以及优化高等教育资源配置等举措,加快构建高等教育与数字经济协同发展的新格局。

主客体互倚中介模型的不孕不育夫妇生育压力、心理弹性与生活质量的相关性

目的:通过主客体互倚中介模型分析生育压力对不孕不育夫妇双方生活质量的影响与心理弹性的中介作用。方法:采用便利抽样法选取于苏州某三甲医院就诊的532对不孕不育夫妇作为研究对象。采用一般资料调查表、生育困难压力量表、心理弹性量表、生育生活质量量表进行横断面调查。通过主客体互倚中介模型分析不孕不育夫妇生育压力、心理弹性与生活质量之间的路径关系。结果:个体的生育压力负向预测夫妇双方的生活质量(β=-0.261,P<0.001;β=-0.061,P<0.05);个体的心理弹性正向预测双方的生活质量(β=0.557,P<0.001;β=0.152,P<0.01)。但个体的生育压力只能负向预测配偶的心理弹性(β=-0.028,P<0.05)。结论:高水平的心理弹性不仅有利于个人的生活质量,而且作为中介因素帮助配偶缓冲生育压力对生活质量的不利影响。

为什么国家严控撤县设区:基于粮食安全的新解释

撤县设区是我国推进新型城镇化建设的重要行政区划调整政策。但2021年以来,国家多次表态要严控撤县设区。将撤县设区政策视为准自然实验,基于2000—2019年县域经济社会数据,运用多期DID、PSM-DID、CMP模型、中介效应模型等分析了撤县设区政策对粮食生产和粮食安全的影响及作用机制,从粮食安全视角对国家严控撤县设区的合理性进行了论证。研究发现:首先,撤县设区政策不利于粮食生产和粮食安全,这一结论在更换回归模型、更换被解释变量、调整样本量等检验后仍然稳健,而且这种负面影响存在长期性;其次,撤县设区政策通过农业生产要素重新配置和“政府注意力”转移两个方面对粮食安全产生负面影响;最后,这种负面影响还存在地区异质性,撤县设区对非粮食生产核心区的负面影响更加显著,导致粮食安全责任进一步失衡。建议谨慎推进撤县设区,平衡不同省份粮食安全责任,有序推进县域粮食综合生产能力提升。

父母教养方式与儿童情绪管理能力的关系:同伴交往能力的中介作用

随着家庭教育相关理论的日臻完善,父母教养方式与儿童情绪管理的关系研究逐渐增多,提高儿童的社会交往能力成为研究热点。本研究以500名3—6岁儿童为研究对象,以莫里斯幼儿适应三重模型为参照,采用父母教养方式量表、幼儿同伴交往量表和儿童情绪管理量表为研究工具,通过结构方程模型考察父母教养方式与儿童情绪管理能力之间的关系以及儿童的同伴交往能力在其间的中介作用。研究发现:父母教养方式、儿童同伴交往能力均与儿童情绪管理能力显著相关,三者具有交互预测作用;中介效应模型表明儿童同伴交往能力在父母教养方式对儿童情绪管理能力的影响中存在中介作用,民主性教养可以通过影响儿童同伴交往能力,间接推动其情绪管理能力的积极生长;专制性教养、溺爱性教养和放任性教养可以间接抑制儿童同伴交往能力,阻碍其情绪管理能力的提高。为提升和稳定儿童管理自身情绪的能力,父母应加强对不同教养方式的认知以及重视对儿童同伴交往能力的培养,并将这一教育理念体现在家庭教育实践之中,促进儿童身心健康发展。

企业ESG表现与股票错误定价研究

基于我国2010—2022年A股上市公司数据,研究发现,企业ESG表现与股票错误定价程度呈显著负相关关系,并且在不同时期企业ESG表现对造成股票错误定价的影响存在差异。机制分析中发现,企业ESG表现通过影响信息不对称程度和投资者非理性情绪来影响股票错误定价,信息不对称和投资者非理性情绪在企业ESG表现与股票错误定价中有着显著的中介效应,在经过工具变量法、替换解释与被解释变量、Bootstrap检验后,结果依然稳健。

乡村振兴视域下农民素质协同发展的实证研究——以陕西省为例

高素质农民是乡村振兴的新方向,高素质农民赋能乡村振兴成为农业农村可持续发展的新动力。目前,高素质农民与乡村振兴的研究主要集中在一定维度,缺乏统一框架下对高素质农民驱动乡村振兴的影响机制及其空间效应的研究。基于2012—2022年陕西省份的面板数据,运用基准回归模型、中介效应模型和空间杜宾模型,探讨了高素质农民驱动乡村振兴的影响机制及其空间溢出效应,结果表明:(1)高素质农民能够显著促进乡村振兴;(2)高素质农民能够显著促进产业结构转型和农村创业推动乡村振兴;(3)高素质农民发展将显著促进本地区乡村振兴和周边地区乡村振兴水平。并由此提出了一些相应的措施,诸如引进技术人才、增强农村主体治理能力和充分发挥空间溢出效应作用,从而推动全面乡村振兴。

对外直接投资对中国区域经济韧性影响研究

对外直接投资(OFDI)是影响中国区域经济韧性的重要因素。基于2005—2019年省级面板数据,运用非空间面板模型、空间面板模型和中介效应模型实证分析了OFDI对中国区域经济韧性的影响及作用机制。研究表明:OFDI总体上促进了中国区域经济韧性的提升,该结论在一系列稳健性检验后依然成立;OFDI对邻近地区经济韧性的提升具有溢出效应。中介机制检验发现,OFDI能通过人力资本和技术创新机制间接提升中国区域经济韧性。空间异质性分析表明,OFDI促进东部地区和中西部地区经济韧性的提升,且对东部地区经济韧性的推动作用高于中西部地区;时间异质性分析表明,金融危机抵抗期OFDI对中国区域经济韧性的提升具有抑制作用,而在金融危机恢复期和转型期具有促进作用。