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.

Contour tracking using weighted structure tensor based variational level set

A novel contour tracking method using weighted structure tensor based variational level set is proposed in this paper.The image is first converted to weighted structure tensor field by extracting apositive definite symmetric covariance matrix for each pixel.Then,a level set method is employed to represent object contour implicitly which separates the image domain into two areas each modeled by tensor field based Gaussian mixture model separately.By solving agradient flow equation of energy functional with respect to the level set,the object contour will converge to its real profile in the newly arrived frame.Experimental results on several video sequences demonstrate the better performance of our method than the other two contour tracking algorithms.

Investigation of the level spectra of nuclei in the northeast region of doubly magic^(40)Ca with intruder orbit g_(9/2)

This study utilizes large-scale shell model calculations with the extended pairing and multipole–multipole force model(EPQQM)to investigate low-lying states in the nuclei of^(42)Ca,^(42)Sc,and^(42−44)Ti.The model space in this study includes the fp shell as well as the intruder g_(9/2)orbit,which accurately reproduces the positive parity levels observed in the aforementioned nuclei and predicts high energy states with negative parity coupled with the intruder g_(9/2).The study further predicts two different configurations in^(43)Ti at around 6 MeV,specificallyπf_(7/2)^(2)νg_(9/2)andπf_(7/2)g_(9/2)νf_(7/2),both of which involve the intruder orbit g_(9/2).The levels coupled with the intruder g_(9/2)in^(44)Ti are predicted to lie between 7 and 11 MeV.The inclusion of the intruder orbit g_(9/2)is crucial for the exploration of high energy states in the northeast region of the doubly magic nucleus^(40)Ca.

A Multilevel Secure Relation-Hierarchical Data Model for a Secure DBMS

A multilevel secure relation hierarchical data model for multilevel secure database is extended from the relation hierarchical data model in single level environment in this paper. Based on the model, an upper lower layer relationalintegrity is presented after we analyze and eliminate the covert channels caused by the database integrity.Two SQL statements are extended to process polyinstantiation in the multilevel secure environment.The system based on the multilevel secure relation hierarchical data model is capable of integratively storing and manipulating complicated objects ( e.g. , multilevel spatial data) and conventional data ( e.g. , integer, real number and character string) in multilevel secure database.

Allowed Parameter Regions for a Tree—Level Inflation Model

The early universe inflation is well known as a promising theory to explain the origin of large-scale structure of universe and to solve the early universe pressing problems. For a reasonable inflation model, the potential during inflation must be very flat, at least, in the direction of the inflaton. To construct the inflaton potential all the known related astrophysics observations should be included. For a general tree-level hybrid inflation potential, which is notdiscussed fully so far, the parameters in it are shown how to be constrained via the astrophysics data observed and to be obtained to the expected accuracy, and to be consistent with cosmology requirements.

基于DEMATEL-AISM的铁路工程建设风险识别影响因素与优化策略研究

铁路工程建设大型化、复杂化和系统化的发展趋势下,潜在的风险因素日益繁多,铁路工程建设高质量和可持续发展之路充满挑战。风险识别作为风险管理的首要环节,是应对和控制铁路工程建设风险的关键,受到项目内外部多方面因素的影响,且现有实践中没有系统的指导,导致风险识别工作易存在疏漏。基于此,通过文献研究和因子分析,提取铁路工程建设风险识别的核心影响因素,运用决策与试验评价实验室和解释结构模型的方法,构建对抗多级递阶结构模型(DEMATEL-AISM),计算铁路工程建设风险识别各影响因素的重要程度及其耦合关系。研究结果表明:铁路工程建设风险识别的效果受到直接层、间接层和根源层3层因素共同作用,其中,危险源监测分析、人员风险意识、风险调查措施、风险应对能力、铁路建设目标、预期风险后果和风险识别技术是影响风险识别结果的关键因素,在铁路工程建设风险管理工作的开展中应重点关注和控制。基于模型结果,分析风险识别影响因素的层级结构及因果关系,并从风险内部控制、项目一体化风险管理体系构建和动态风险预警机制设立3个方面,提出了铁路工程建设风险识别的建议和策略。研究结果有助于提高大型铁路工程建设风险辨识结果的全面性和科学性,对构建铁路工程建设风险识别体系具有一定参考价值和借鉴意义。

水位差法模拟波浪荷载作用下大直径圆筒稳定性离心模型试验研究

某人工岛护岸工程采用大直径圆筒结构,结构直径和高度尺寸较大,工程所处位置波浪条件恶劣。采用水位差法等效模拟波浪荷载,开展波浪荷载作用下大圆筒施工期稳定特性离心模型试验研究,结果表明,在25 a一遇波吸力荷载作用下,筒体位移模式近似平移,侧向位移量约353 mm,筒顶沉降约为187 mm,施工阶段钢圆筒整体稳定;筒壁环向拉应力均值约为90 MPa,处于钢圆筒材料允许应力范围内;筒壁海侧土压力值随水位差增大至峰值后趋于稳定,表明筒体与周围邻近土体之间没有新的相对位移趋势,大直径钢圆筒护岸结构在波浪荷载作用下是稳定安全的。

层冰作用下直立圆柱结构冰载荷研究

层冰是冰区海工结构作业时遭遇的主要冰况之一,直立结构是海工结构的常见构型,因此,开展层冰作用下直立结构冰载荷研究对海工结构抗冰强化设计和安全评估具有重要意义。本文首先对层冰与直立结构作用过程进行概括分析。然后开展直立圆柱结构冰载荷的机理性试验,研究层冰的失效行为以及结构冰载荷的特征。最后基于黏聚单元模型和海冰软化本构开发层冰与结构作用模拟的数值仿真模型,对层冰的裂纹扩展和破碎过程进行模拟,同时利用试验数据对数值仿真模型的正确性进行验证。本研究工作可为结构冰载荷的数值和试验研究奠定重要基础,为冰区海工结构的设计建造提供技术参考。

基于粘聚力单元的平整冰与海洋桩柱结构相互作用机理研究

平整冰与海洋桩柱结构的相互作用问题十分复杂,往往涉及到海冰的破碎、失效和堆积等现象。平整冰破坏问题本质上是一个材料脆性破坏的问题,然而传统有限元方法的单元失效机制在处理该问题时有着很大的局限性,不能合理反映平整冰破碎后碎冰的变形和运动状态。因此,有必要发展现有仿真技术,建立合理的模型化方法来解决平整冰破坏相关关键问题。本文通过自定义海冰材料本构模拟海冰材料力学特性,并通过粘聚力单元模拟平整冰破坏时裂纹的产生和扩展,通过开展海洋桩柱结构与平整冰相互作用的仿真分析,分析平整冰在受桩柱作用时的破坏失效模式及两者的相互作用载荷,并与相关模型试验比较验证本文所提出方法的可靠性。研究表明,本文所采用的方法能够有效模拟平整冰在受桩柱作用时的挤压和弯曲破坏,同时能够较为准确地预报冰载荷。研究成果对于海洋桩柱结构冰载荷的预报和结构的设计具有重要的参考意义。

古建筑木结构透榫节点地震损伤演化模型研究

为定量评估古建筑木结构透榫节点的地震损伤程度与地震损伤演化过程,对Kratzig地震损伤模型进行了改进。分别基于刁波地震损伤模型、Kratzig地震损伤模型以及改进的Kratzig地震损伤模型对3组透榫节点进行了地震损伤分析,研究了3种模型的适用性。为了对实际工程中的透榫节点松动进行地震损伤评估,基于改进的Kratzig地震损伤模型,考虑了节点松动对改进的Kratzig地震损伤模型的影响。结果表明:改进的Kratzig地震损伤模型在描述透榫节点地震损伤中表征效果最好,能够克服地震损伤模型与Kratzig地震损伤模型的不足;随着松动程度的增大,透榫节点损伤指数增长减缓,最终破坏时损伤指数减小。最后根据国内抗震设防规范,结合古建筑木结构地震损伤评估,提出了透榫节点性能水准分类及每个阶段的加固建议。

基于伪触发词的并行预测篇章级事件抽取方法

篇章级事件抽取一般将事件抽取任务分为候选实体识别、事件检测和论元识别3个子任务,然后采用级联的方式依次进行,这样的方式会造成误差传递;另外,现有的大多数模型在解码事件时,对事件数量的预测隐含在解码过程中,且只能按照预定义的事件顺序及预定义的角色顺序预测事件论元,使得先抽取的事件并没有考虑到后面抽取的事件。针对以上问题提出一种多任务联合的并行预测事件抽取框架。首先,使用预训练语言模型作为文档句子的编码器,检测文档中存在的事件类型,并使用结构化自注意力机制获取伪触发词特征,预测每种事件类型的事件数量;然后将伪触发词特征与候选论元特征进行交互,并行预测每个事件对应的事件论元,在大幅缩减模型训练时间的同时获得与基线模型相比更好的性能。最终事件抽取结果F1值为78%,事件类型检测子任务F1值为98.7%,事件数量预测子任务F1值为90.1%,实体识别子任务F1值为90.3%。

初中生几何思维水平结构方程模型的构建与分析

从Van Hiele几何思维理论可知,学生几何思维的良好发展有利于其认知、空间想象及逻辑推理等能力的培养.在Van Hiele几何思维水平的理论基础上,构建初中生几何思维水平结构方程模型,利用测试数据分析所建模型的合理性并修正模型.在模型检验合理的情况下,进行模型参数拟合并探讨各几何思维水平间的影响关系以及各几何思维水平下的具体表现.所得研究结果不仅可为几何思维水平的理论研究提供新视角,还可拓宽结构方程模型的应用领域.

基于雷达对抗装备的信号级软件仿真模型设计

为了提高雷达对抗装备数字仿真的真实性,提升信号级软件模型研制效率,根据实际装备的工作原理,本文设计了一种“通用结构+专有特征”的信号级雷达对抗装备软件模型。按照实际雷达对抗装备的组成模块与运行原理构建通用基础框架,提高仿真模型复用性,根据不同雷达对抗装备专有功能特征,仿真模拟装备间的差异性,提升仿真模型的真实性与实现效率。

能源效率空间溢出效应及其影响因素研究——基于空间计量方法的实证分析

本文利用DEA博弈交叉效率模型对我国2012~2021年各研究区域以碳排放约束为基础的能源效率展开测算,并进行空间杜宾模型的构建,探讨对能源效率产生影响的因素,并将影响分解为直接效应与溢出效应进行深入探究。研究发现,在2012~2021年,我国地区能源效率有显著的空间依赖性显现出来;在能源效率的影响上,技术进步和产业结构所产生的是正向影响,而城镇化水平和能源消费结构所产生的则是负向影响,且各因素的影响均显著;另外,以空间溢出效应为视角,对于本地区能源效率,其他地区产业结构所产生的是正向溢出效应,而城镇化水平所产生的则是负向溢出效应。

珠江三角洲河网区极端水位事件风险传递规律

为研究珠江三角洲河网区极端水位事件的风险传递规律,基于13个水位站点1957—2016年的月水位资料,利用pair-copula结构构建珠三角河网区水位的风险传递模型,分析不同情景下极端水位在空间上的风险传递机制及其时间变化规律。结果表明:在低降水量条件下,珠三角河网区低水位风险顺向(上游至下游)和逆向(下游至上游)传递的概率均显著增大;高降水量条件下夏季丰水期的高水位顺向传递风险更高,低降水量条件下冬季枯水期的低水位顺向和逆向传递风险均较高;受人类活动影响,在高降水量条件下,1987—2016年夏季丰水期的高水位顺向传递风险比1957—1986年显著增强;在低降水量条件下,1987—2016年冬季枯水期低水位的顺向和逆向传递风险比1957—1986年显著增强。

基于农村地区的高额彩礼构成形成机制研究——以江西农村地区为例

改革开放40多年来,中国经济进入快速发展时代,农民对物质生活有了更高的要求,同时农村地区的彩礼不断高涨。江西地区的农民群众深陷高额彩礼漩涡,“天价彩礼”层出不穷,引发社会各界反响。实证分析结果表明江西农村地区的彩礼构成主要受思想观念和经济水平这两个核心因素的共同影响,从构建的结构方程模型分析发现,在一定程度上,经济因素对高额彩礼构成呈正向显著影响,从农村地区居民的思想观念来看,思想观念在经济因素与高额彩礼构成之间起着中介作用。在此结论的基础上,政府及其相关部门治理农村婚嫁彩礼问题,首先要改善农村地区经济条件与加强农民生活保障,健全养老、医疗体系等;其次是要大力推动与农村地区相适应的婚礼习俗改革,构建优良社会舆论环境以形成道德新风尚与发挥正确婚姻观的导向作用;最后要不断落实农村地区法制建设,完善相应法律法规。

岩溶地下水多层次径流模型应用——以丽江河间地块地下水径流分析为例

丽江河间地块上岩溶水系统十分发育,查明其径流规律有利于“玉龙-古城”城区科学高效开发利用地下水资源,对地区经济发展和生态环境建设十分重要。作者采用岩溶地下水多层次径流模型对研究区岩溶水径流规律进行分析,查明丽江河间地块岩溶水径流在表层径流、浅径流、深径流不同层次的规律。综合地下水流量分析、水化学反演、同位素测试、示踪试验的结果,对结论进行验证,表明作者提出的径流模型有较好的应用效果。

SSW移动测量系统在道路实景三维建设中的应用

道路部件级实景三维(3D)是实景3D中国建设的重要内容,传统测绘手段作业强度大、作业效率低,难以满足城市空间信息快速获取的需求。车载移动测量系统集激光扫描技术、高精度定位定姿技术、影像获取技术于一身,可高效获取道路3D空间数据,生产部件级实景3D成果,优势明显。本研究使用SSW车载激光建模测量系统获取首都核心区15km道路高精度3D空间数据,基于激光点云、全景影像以及同步高清侧面影像数据,使用人工智能全自动提取道路地物要素的3D矢量信息。依据道路部件不同地物的特征采用不同的建模方式,形成道路结构化建模方案,开展高精细道路部件级建模试验,并对成果进行精度验证。结果表明SSW数据成果完全满足国家新型基础测绘北京试点的技术要求。

数字普惠金融对山东居民消费水平的影响研究——基于中介效应的实证分析

消费是拉动经济增长的重要动力之一,扩大内需,促进消费成为促进经济复苏的重要调控方法。本文在双循环发展格局下探究数字普惠金融对山东居民消费水平的影响,通过构建数字普惠金融与居民消费水平的回归模型,进行中介效应分析,发现数字普惠金融的发展有利于山东居民消费水平的提升,同时人均可支配收入在该模型中发挥中介作用,以期为促进消费,缓解内需不足的问题提供新思路。

Effects of Multicollinearity on Type I Error of Some Methods of Detecting Heteroscedasticity in Linear Regression Model

Heteroscedasticity and multicollinearity are serious problems when they exist in econometrics data. These problems exist as a result of violating the assumptions of equal variance between the error terms and that of independence between the explanatory variables of the model. With these assumption violations, Ordinary Least Square Estimator (OLS) will not give best linear unbiased, efficient and consistent estimator. In practice, there are several structures of heteroscedasticity and several methods of heteroscedasticity detection. For better estimation result, best heteroscedasticity detection methods must be determined for any structure of heteroscedasticity in the presence of multicollinearity between the explanatory variables of the model. In this paper we examine the effects of multicollinearity on type I error rates of some methods of heteroscedasticity detection in linear regression model in other to determine the best method of heteroscedasticity detection to use when both problems exist in the model. Nine heteroscedasticity detection methods were considered with seven heteroscedasticity structures. Simulation study was done via a Monte Carlo experiment on a multiple linear regression model with 3 explanatory variables. This experiment was conducted 1000 times with linear model parameters of β0 = 4 , β1 = 0.4 , β2= 1.5 and β3 = 3.6. Five (5) levels of mulicollinearity are with seven (7) different sample sizes. The method’s performances were compared with the aids of set confidence interval (C.I.) criterion. Results showed that whenever multicollinearity exists in the model with any forms of heteroscedasticity structures, Breusch-Godfrey (BG) test is the best method to determine the existence of heteroscedasticity at all chosen levels of significance.