The Moderating Effect of Organizational Identification on Occupational Stress and Insomnia Among Nurses

Objective:To explore the relationship between organizational identification,occupational stress,and insomnia among nurses and to analyze the moderating role of organizational identification between occupational stress and insomnia.Methods:Through stratified sampling,720 nurses working in a tertiary A-level hospital in Shandong Province from March to May 2021 were surveyed using an effort-reward imbalance questionnaire,an organizational identification questionnaire,and the Athens Insomnia scale.Results:Organizational identification was negatively correlated with occupational stress and insomnia(r_(1)=-0.121,P_(1)<0.01;r_(2)=-0.144,P_(2)<0.01).Occupational stress was positively correlated with insomnia(r=0.379,P<0.01).Organizational identity significantly moderated nurses’occupational stress and insomnia(β=-0.192,t=-2.558,P<0.05).Conclusion:Occupational stress and organizational identification can predict insomnia.Organizational identification could negatively mediate the relationship between occupational stress and insomnia.Improving organizational identification may help alleviate insomnia symptoms by relieving occupational stress.

Burden of disability in type 2 diabetes mellitus and the moderating effects of physical activity

The growing diabetic epidemic has created a substantial burden,not only on the people with diabetes but also on society at large.This mini-review discussed the limitations and patterns of disability in type 2 diabetes mellitus and put forward a case for the moderating effects of physical activity(PA)in the management of diabetes.The limitations and impairments associated with diabetes include vascular,neurological,cardiac,and renal impairments.Moreover,individuals participate less in their daily lives and in their instrumental activities of daily living,which negatively impacts the quality of life of individuals with diabetes.This often leads to a loss of quality of life due to disabilities,resulting in an increased rate of disability-adjusted life years among people with type 2 diabetes mellitus.Moreover,there are psychosocial sequelae of diabetes mellitus.This necessitates looking for moderating factors that may reduce the burden of the disease.PA has been shown to be one of the factors that can mitigate these burdens.PA does this in several ways,including through the benefits it confers,such as a reduction of hemoglobin A1c,a reduction of excess fat in the liver and pancreas,and the reduction of cardiovascular risk factors,all of which favorably affect glycemic parameters.Specifically,PA regulates or moderates diabetes disability through two mechanisms:The regulation of glucolipid metabolism disorders and the optimization of body mass index and systemic conditions.Therefore,efforts should be directed at PA uptake through identified strategies.This will not only prevent diabetes or diabetes complications but will reduce its burden.

The Effect of Perceived Anonymity on Online Transgressions:The Moderating Role of Moral Excuses

With the development of science and technology,the use of the Internet is becoming more and more widespread.However,with the popularity of the Internet,some problems have gradually surfaced.The anonymity of Internet use has become a breeding ground for many acts that are contrary to public decency,and this study is conducted against this background.This study explored the impact of perceived anonymity on online transgressions and investigated the moderating effect of moral excuses.A total of 414 subjects,210 males and 204 females,participated in this experimental survey.The SPSS data analysis concluded that perceived anonymity played a significant positive predictive role on online deviance(p<0.01),and the moderating role of moral excuses was not significant.This study will be conducive to the better implementation of the action of clearing cyberspace and to the regulation of public behaviour in cyberspace.

Seeking Health Information Online:The Moderating Effects of Problematic Situations on User Intention

Purpose： This study investigates how online user intention in searching health information is affected by problematic situations.Design/methodology/approach： Based on the Theory of Reasoned Action, the Technology Acceptance Model, and Sense-making theory, we propose two dimensions of problematic situations： urgency and severity of health issues being searched online. Data were collected through a questionnaire survey among 214 Wuhan University students and analyzed using hierarchical regression analysis.Findings： Perceived usefulness, perceived ease of use, and subjective norm can influence user intention to seek health information online. The urgency of problematic situations has a negative moderating effect on the relationship between perceived ease of use and user intention and the relationship between subjective norm and user intention. The severity of problematic situations has a negative moderating effect on the relationship between subjective norm and user intention.Research limitations： The respondents of the survey are limited to students in one Chinese university, so whether this study＇s results can be applied to another population or not remains to be verified. In addition, only two dimensions of problematic situations are considered in this study. Practical implications： The paper puts forward the moderating effect of problematic situations and verifies it, which is the compensation for online health information-seeking behavior research. Besides, our analyses have implications for professional design of health care systems and related consumer information searches, and improve their performance. Originality/value： Previous work has reported the effects of problematic situation on user intention to seek health information online, ignoring its influence on other factors. This empirical study extends that work to identify the influence of problematic situation when seeking intention-behavior data in two dimensions, urgency and severity.

A Statistical Model with Non-Linear Effects and Non-Proportional Hazards for Breast Cancer Survival Analysis

The Cox proportional hazard model is being used extensively in oncology in studying the relationship between survival times and prognostic factors. The main question that needs to be addressed with respect to the applicability of the Cox PH model is whether the proportional hazard assumption is met. Failure to justify the subject assumption will lead to misleading results. In addition, identifying the correct functional form of the continuous covariates is an important aspect in the development of a Cox proportional hazard model. The purpose of this study is to develop an extended Cox regression model for breast cancer survival data which takes non-proportional hazards and non-linear effects that exist in prognostic factors into consideration. Non-proportional hazards and non-linear effects are detected using methods based on residuals. An extended Cox model with non-linear effects and time-varying effects is proposed to adjust the Cox proportional hazard model. Age and tumor size were found to have nonlinear effects. Progesterone receptor assay status and age violated the proportional hazard assumption in the Cox model. Quadratic effect of age and progesterone receptor assay status had hazard ratio that changes with time. We have introduced a statistical model to overcome the presence of the proportional hazard assumption violation for the Cox proportional hazard model for breast cancer data. The proposed extended model considers the time varying nature of the hazard ratio and non-linear effects of the covariates. Our improved Cox model gives a better insight on the hazard rates associated with the breast cancer risk factors.

Microsphere femtosecond laser sub-50 nm structuring in far field via non-linear absorption

Creation of arbitrary features with high resolution is critically important in the fabrication of nano-optoelectronic devices.Here,sub-50 nm surface structuring is achieved directly on Sb2S3 thin films via microsphere femtosecond laser irradi-ation in far field.By varying laser fluence and scanning speed,nano-feature sizes can be flexibly tuned.Such small patterns are attributed to the co-effect of microsphere focusing,two-photons absorption,top threshold effect,and high-repetition-rate femtosecond laser-induced incubation effect.The minimum feature size can be reduced down to~30 nm(λ/26)by manipulating film thickness.The fitting analysis between the ablation width and depth predicts that the feature size can be down to~15 nm at the film thickness of~10 nm.A nano-grating is fabricated,which demonstrates desirable beam diffraction performance.This nano-scale resolution would be highly attractive for next-generation laser nano-lithography in far field and in ambient air.

Computational Film Cooling Effectiveness of Dual Trench Configuration on Flat Plate at Moderate Blowing Ratios

In the present work, computational simulations was made using ANSYS CFX to predict the improvements in film cooling performance with dual trench. Dual-trench confguradon consists of two trenches together, one wider trench and the other is narrow trench that extruded from the wider one. Several blowing ratios in the range （0.5：5） were investigated. The pitch-to-diameter ratio of 2.775 is used. By using the dual trench configuration, the coolant jet impacted the trench wall two times allowing increasing the spreading of coolant laterally in the trench, reducing jet velocity and jet completely covered on the surface. The results indicate that this configuration increased adiabatic effectiveness as blowing ratio increased. The spatially averaged adiabatic effectiveness reached 57.6% for at M= 2. No observed film blow-off at all blowing ratios. The adiabatic film effectiveness of dual trench case outperformed the narrow trench case, laidback fan-shaped hole, fan-shaped hole and cylinder hole at different blowing ratios.

Effect of oxygen on regulation of properties of moderately boron-doped diamond films

Regulation of oxygen on properties of moderately boron-doped diamond films is fully investigated.Results show that,with adding a small amount of oxygen(oxygen-to-carbon ratio<5.0%),the crystal quality of diamond is improved,and a suppression effect of residual nitrogen is observed.With increasing ratio of O/C from 2.5%to 20.0%,the hole concentration is firstly increased then reduced.This change of hole concentration is also explained.Moreover,the results of Hall effect measurement with temperatures from 300 K to 825 K show that,with adding a small amount of oxygen,boron and oxygen complex structures(especially B_(3)O and B_(4)O)are formed and exhibit as shallow donor in diamond,which results in increase of donor concentration.With further increase of ratio of O/C,the inhibitory behaviors of oxygen on boron leads to decrease of acceptor concentration(the optical emission spectroscopy has shown that it is decreased with ratio of O/C more than 10.0%).This work demonstrates that oxygen-doping induced increasement of the crystalline and surface quality could be restored by the co-doping with oxygen.The technique could achieve boron-doped diamond films with both high quality and acceptable hole concentration,which is applicable to electronic level of usage.

Could Sequential Residual Centering Resolve Low Sensitivity in Moderated Regression? Simulations and Cancer Symptom Clusters

Multicollinearity constitutes shared variation among predictors that inflates standard errors of regression coefficients. Several years ago, it was proven that the common practice of mean centering in moderated regression cannot alleviate multicollinearity among variables comprising an interaction, but merely masks it. Residual centering (orthogonalizing) is unacceptable because it biases parameters for predictors from which the interaction derives, thus precluding interpretation of moderator effects. I propose and validate residual centering in sequential re-estimations of a moderated regression—sequential residual centering (SRC)—by revealing unbiased multicollinearity conditioning across the interaction and its related terms. Across simulations, SRC reduces variance inflation factors (VIF) regardless of distribution shape or pattern of regression coefficients across predictors. For any predictor, the reduced VIF is used to derive a lower standard error of its regression coefficient. A cancer sample illustrates SRC, which allows unbiased interpretations of symptom clusters. SRC can be applied efficiently to alleviate multicollinearity after data collection and shows promise for advancing synergistic frontiers of research.

Moderating effect of psychological resilience on the perceived social support and loneliness in the left-behind elderly in rural areas

Objective:To investigate the loneliness and psychological resilience with the perceived social support of the left-behind elderly in rural areas and explore the moderating effect of psychological resilience on the understanding of social support and loneliness of the left-behind elderly in rural areas.Methods:A cross-sectional study was conducted;272 left-behind elderly people in 6 rural villages in the Sichuan Province were investigated by using the General Situation Questionnaire,Perceived Social Support Scale(PSSS),Connor-Davidson Resilience Scale(CD-RISC),and the University of California at Los Angeles Loneliness Scale(UCLA)with a stratified random cluster sampling method.Results:The loneliness score of the left-behind elderly in rural areas was 52.54±7.25,the psychological resilience score was 78(68.87),and the perceived social support score was 57(51.62).The perceived social support and psychological resilience were negatively correlated with loneliness,while the perceived social support was positively correlated with psychological resilience.The moderating effect of psychological resilience on the perceived social support and loneliness of the left-behind elderly in rural areas was−0.102(P<0.001).Conclusions:Higher level resilience is of positive significance to alleviate the negative effect of social support on loneliness.Improving the resilience of the left-behind elderly in rural areas is a beneficial exploration to promote their mental health.

Non-Linear Effects in Optical Systems by Lie Algebra and Symplectic Mapping

The use of signals of different frequencies determines the geometrical deviation with respect to the optical axes of a given beam. This angle can be determined by Sympletic Map (SM), a powerful and simple mathematical tool for the characterization and construction of images in Geometrical Optics. The Sympletic Map constitutes a Lie Group, with an algebra associated: the Lie Algebra. In general, the SM can be expressed as an infinite series, where each term corresponds to different contributions produced by the optical devices that constitute the optical system (lenses, apertures, bandwidth cutoff, etc.). The level of correction to be performed on the image to recover the original object is clear and controllable by SM. This formalism can be extended easily to physical optics to describe diffraction and interference phenomena.

The Assessment of Non-Linear Effects in Clinical Research

Background: Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data. Objective: To review traditional and modern models. Results, and Conclusions: 1) Logit and probit transformations are often successfully used to mimic a linear model. Logistic regression, Cox regression, Poisson regression, and Markow modeling are examples of logit transformation;2) Either the x- or y-axis or both of them can be logarithmically transformed. Also Box Cox transformation equations and ACE (alternating conditional expectations) or AVAS (additive and variance stabilization for regression) packages are simple empirical methods often successful for linearly remodeling of non-linear data;3) Data that are sinusoidal, can, generally, be successfully modeled using polynomial regression or Fourier analysis;4) For exponential patterns like plasma concentration time relationships exponential modeling with or without Laplace transformations is a possibility. Spline and Loess are computationally intensive modern methods, suitable for smoothing data patterns, if the data plot leaves you with no idea of the relationship between the y- and x-values. There are no statistical tests to assess the goodness of fit of these methods, but it is always better than that of traditional models.

The Effect of a Chocolate Bar Supplementation on Moderate Exercise Recovery of Recreational Runners

To study the effects of a chocolate bar supplementation before exercise on improving recovery of physiological and metabolic changes induced by exercise, 16 male students aged 18-20 years voluntarily served as subjects. A crossover design was employed. Each subject took part in two trials and ran an hour on a treadmill with the intensity of keeping heart rate at 148-150 min for each trial. Results showed that plasma glucose levels of subjects increased significantly (5.42±0.83 mmol/L) at 15 min after ingestion of a chocolate bar and maintained in moderate high levels (4.92 ±0.57 mmol/L) until 30 min after an hour's running while the glucose levels were low and dropped to under normal ranges (3.84 ± 0.31 mmol/L) at 30 min after exercise as they were with a supplement of placebo. Results of plasma FFA, blood lactate and plasma urea nitrogen levels and RPE all indicated that chocolate bar supplementation before exercise benefits to create the necessary prerequisite for exercise and recovery

Analysis of the Moderator Effect of RMB Exchange-- Rate on Export The Case of Guangdong Province in China

An important limitation of the research literatures which study the effect on the export of the real effective exchange rates is the lack of application of interaction or moderator effect among the independent variables. To remedy this lacuna, the authors developed a model in which real effective exchange rate moderated the effect of import and utilization of foreign capital on export. The sample comprised 11 years＇ data in Guangdong China. The result showed that real effective exchange rate of RMB affected the export by interacting with utilization of foreign capital. Moreover, to some degree, the real effective exchange rate can also act as moderator between import and export.

农业产业集聚对农业碳排放的影响——基于环境规制的调节效应研究

利用2003—2020年中国31个省份的面板数据,通过构建回归方程模型并运用协整检验、系统GMM方法研究了农业产业集聚对农业碳排放的影响以及环境规制所发挥的调节效应。结果发现:在国家层面,农业碳排放受到农业产业集聚的影响显现出“非线性关系”,即随着农业产业集聚程度的上升,农业碳排放总量呈先上升后下降的倒“U”型特征,并且在农业产业集聚对农业碳排放的影响中显著受到了环境规制的调节效应;而在地区层面,东部、中部和西部地区的农业碳排放均受到农业产业集聚的影响显现出先上升后下降的倒“U”型特征,但环境规制在农业产业集聚对农业碳排放的影响中的调节效应仅在东部和西部地区显著存在。

人口老龄化与劳动力就业质量

推进就业优先战略、保障高质量充分就业是实现社会经济高质量发展、增进民生福祉的关键举措.与此同时,老龄化程度的加深对经济发展、产业结构与要素投入调整产生了广泛而深远的影响.为此,基于我国2006—2021年省级面板数据,运用熵值法对各省劳动力就业质量进行测算,并采用双向固定效应模型和调节效应模型探究了人口老龄化对高质量就业的影响.研究发现,人口老龄化抑制我国劳动力就业质量提升,人工智能的发展带来的外部环境和技术创新水平的提升可以削弱人口老龄化对就业质量的消极影响.

绿色技术创新对碳排放的影响效应——非线性中介效应与调节效应分析

绿色技术创新是解决环境污染和实现碳减排目标的重要手段。基于2011—2021年中国内地271个地级及以上城市面板数据,使用参数与非参数方法检验绿色技术创新对碳排放的非线性影响,分析能源消费结构及产业结构的中介作用,同时探讨环境规制、科创支持、市场化程度和公众关注的调节作用。研究发现:①基准回归结果表明,绿色技术创新与碳排放呈显著倒“U”型关系;②异质性检验结果表明,倒“U”型关系仅在非资源型城市、低碳试点城市和高质量绿色技术创新体现明显;③中介效应检验结果表明,绿色技术创新既能通过优化能源消费结构降低碳排放,又会通过阻碍产业结构升级增加碳排放;④调节效应分析结果表明,公众关注、科创支持和市场化程度对绿色技术创新与碳排放倒“U”型关系起正向调节作用,使倒“U”型曲线更陡峭,而环境规制对绿色技术创新与碳排放倒“U”型关系起负向调节作用,使倒“U”型曲线更平缓。据此,提出提升绿色技术创新能力、推动清洁能源发展、加强政策配套支持、完善市场机制、构建政府公众共治体系等建议。

体育锻炼参与对老年人阶层认同的影响——基于CGSS(2010—2021)混合截面数据的分析

该研究基于2010—2021年7次中国综合社会调查(CGSS)中60~85岁老年人的混合截面数据,运用Ologit回归、工具变量法、KHB模型和交互项调节效应检验等方法对体育锻炼参与影响老年人阶层认同的机制及变化进行了研究。研究得出:(1)总体来看,参与体育锻炼的老年人占比约为37.37%,其中,2010~2013年老年人体育锻炼参与人数比例不高、但较为稳定;2014年开始,老年人体育锻炼参与人数比例逐渐增加。此外,随着社会变迁,阶层认同处于中上层及上层的老年人占比也在逐渐增加。(2)体育锻炼参与对老年人的阶层认同具有显著促进作用。(3)体育锻炼参与对老年人阶层认同的影响能够通过改善身体健康、心理健康和社会交往等中介作用来提升其阶层认同。(4)教育程度、房产起到了显著的调节作用。体育锻炼参与显著提升了低教育水平老年人的阶层认同,但这种提升作用随着时间的变迁在逐渐变小;拥有房产也可有效增强体育锻炼参与对老年人阶层认同的正向促进作用,但增强力度随着时间的变迁也在变小。

数字经济、技术进步与制造业转型升级

制造业水平是一个国家综合实力和国际竞争力的重要标志,技术进步提供了制造业转型升级的动力和基础。而数字经济作为推动技术进步和企业变革的重要力量,为传统制造业注入新的增长动力。基于2010—2020年我国省级面板数据,运用固定效应模型和门槛效应模型实证研究数字经济背景下技术进步对我国制造业转型升级的作用机制,并探究数字经济在此过程中发挥的调节效应。研究结果显示:(1)数字经济时代下,技术进步对制造业转型升级依旧具有很强的驱动效应;(2)在技术进步对制造业转型升级的作用过程中,数字经济可以有效发挥正向调节作用;(3)技术进步驱动制造业转型升级存在显著的数字经济门槛效应。