Problem-solving model guided by stimulus-organism-response theory:State of mind and coping styles of depressed mothers after cesarean delivery

BACKGROUND The use of a problem-solving model guided by stimulus-organism-response(SOR)theory for women with postpartum depression after cesarean delivery may inform nursing interventions for women with postpartum depression.AIM To explore the state of mind and coping style of women with depression after cesarean delivery guided by SOR theory.METHODS Eighty postpartum depressed women with cesarean delivery admitted to the hospital between January 2022 and October 2023 were selected and divided into two groups of 40 cases each,according to the random number table method.In the control group,the observation group adopted the problem-solving nursing model under SOR theory.The two groups were consecutively intervened for 12 weeks,and the state of mind,coping styles,and degree of post-partum depression were analyzed at the end of the intervention.RESULTS The Edinburgh Postnatal Depression Scale and Hamilton Depression Scale-24-item scores of the observation group were lower than in the control group after care,and the level of improvement in the state of mind was higher than that of the control group(P<0.05).The level of coping with illness in the observation group after care(26.48±3.35)was higher than that in the control group(21.73±3.20),and the level of avoidance(12.04±2.68)and submission(8.14±1.15)was lower than that in the control group(15.75±2.69 and 9.95±1.20),with significant differences(P<0.05).CONCLUSION Adopting the problem-solving nursing model using SOR theory for postpartum depressed mothers after cesarean delivery reduced maternal depression,improved their state of mind,and coping level with illness.

Impact of parenting styles on preschoolers’behaviors

In this editorial,I comment on the article“Association of preschool children behavior and emotional problems with the parenting behavior of both parents”which was published in the latest issue of“World Journal of Clinical Cases”that demonstrates the prevalence of behavioral disorders in preschool children.Therefore I am focused on parenting which is the most effective factor shown to affect the development and continuity of these behaviors.The management of child behavior problems is crucial.Children in early ages,especially preschoolers who are in the first 5 years of life,are influenced by dramatic changes in various aspects of development,such as social,emotional,and physical.Also,children experience many changes linked to different developmental tasks,such as discovering themselves,getting new friendships,and adapting to a new environment.In this period,parents have a critical role in supporting child development.If parents do not manage and overcome their child’s misbehavior,it could be transformed into psychosocial problems in adulthood.Parenting is the most powerful predictor in the social development of preschool children.Several studies have shown that to reduce the child’s emotional and behavioral problems,a warm relationship between parents and children is needed.In addition,recent studies have demonstrated significant relationships between family regulation factors and parenting,as well as with child behaviors.

Genetic Analysis of Structural Styles in the Makran Accretionary Wedge–Insight from Physical Simulations

The Makran accretionary wedge has the smallest subduction angle among any accretionary prism in the world. The factors controlling the spacing and morphological development of its deep thrust faults, as well as the formation mechanism of shallow normal faults, remain unclear. Meanwhile, the factors affecting the continuity of plane faults must be comprehensively discussed. Clarifying the development characteristics and deformation mechanisms of the Makran accretionary wedge is crucial to effectively guide the exploration of gas hydrate deposits in the area. This study aims to interpret seismic data to identify typical structures in the Makran accretionary wedge, including deep imbricate thrust faults, shallow and small normal faults, wedge-shaped piggyback basins, mud diapirs with fuzzy and disorderly characteristics of reflection, décollements with a northward tilt of 1° – 2°, and large seamounts. Physical simulation-based experiments are performed to comprehensively analyze the results of the plane, section, and slices of the wedge. Results reveal that the distances between and shapes of thrust faults in the deep parts of the Makran accretionary wedge are controlled by the bottom décollement. The uplift of the thrust fault-related folds and the upwelling of the mud diapirs primarily contribute to the formation of small normal faults in the shallow part of the area. The mud diapirs originate from plastic material at the bottom, while those that have developed in the area near the trench are larger. Seamounts and mud diapirs break the continuity of fault plane distribution.

The Coping Styles and Perception of Illness in Patients with Breast Cancer—Relation to Body Image and Type of Surgery

Breast cancer is considered one of the most frequent causes of morbidity and death in women.Individuals’response to information regarding health threats and illness can influence the adjustment of the treatment to existing conditions including the issues of non-completion of treatment or non-attendance at medical appointments.The study aimed to examine the relationship between illness perception,body image dissatisfaction and(mal)adaptive coping styles in breast cancer patients.A sample of 197 patients with diagnosed breast cancer hospitalized at the Center for Oncology and Radiology,Kragujevac,Serbia,was surveyed.The instruments included sociodemographic questionnaire,a Brief Illness Perception Questionnaire(BIPQ),a Body Image Scale(BIS),and a Mini-Mental Adjustment to Cancer Scale(Mini-MAС).Results showed that 52%of the variance of maladaptive coping style in women who underwent mastectomy was explained by the negative illness perception,while body image dissatisfaction reflected through this connection(CFI>.95,GFI>.95,RMSEA=.01,SRMR=.08).Similar results were found in patients with breast-conserving surgery but with lower percentage(36%)of variance explained(CFI>.95,GFI>.95,RMSEA<.02,SRMR<.05).If confirmed by further studies,these results would suggest that patients who underwent mastectomy tend to be more dissatisfied with their body image,have tendency to perceive illness as threatening and resort to maladaptive coping styles.However,any form of appearance modification,including breast-conserving surgery,carries the risk of body image dissatisfaction,and consequently the risk of maladaptive coping behaviors.Our results suggest that health professionals and public policies should put an additional focus on the assessment of the patient’s body image dissatisfaction,to improve the health and wellbeing of the affected women.

Attachment Styles and Traumatic Responses: Exploring the Impact of Parental Interaction on Child Development and Coping Mechanisms

This article explores the intricate relationship between attachment styles formed during early childhood and the subsequent responses to traumatic events, particularly the death of a parent. Drawing on the theoretical framework of attachment theory and incorporating contemporary research, the paper discusses how parental interactions shape the neural circuitry of infants and children, influencing their ability to form secure or insecure attachments. These attachment styles, in turn, play a critical role in determining the child’s coping mechanisms when faced with trauma. This paper focuses on trying to understand how attachment theory is connected to the reaction to trauma with a highlight on the four major styles of attachments which are secure, anxious, avoidant, and disorganized to mention but a few, and how they influence stress and adversity in children. Attachment theory holds that human beings’ ability to form affectional bonds in infancy determines their patterns of relatedness across the life cycle. The type of attachment that is secure usually supports healthy adaptation and good coping mechanisms regardless of the trauma in the childhood of the child. While secure attachment mostly facilitates favorable trauma-related outcomes, anxious or avoidant attachment can exacerbate or alter the responses. The caregiving system that is avoidant attachment has implications of autonomous self-functioning which has features of suppression of the emotional response and poor search for emotional support during stress. From the principles of developmental psychology and trauma theory, the paper also focuses on the major significance of the child’s early caregivers’ interactions that define the resilience and vulnerability factor. This knowledge is therefore critical in designing specific interventions based on the improvement of coping behaviors and emotional regulatory systems of children who have been exposed to trauma. Finally, we have the synthesis of new knowledge about the role of secure attachment relationships as its fundamental element in shaping adaptive traumatization and psychological development. The article also delves into the physiological processes involved in emotional regulation and the role of cortisol in disrupting attachment. Finally, the implications of these findings for therapeutic interventions and the challenges of addressing prolonged grief and traumatic responses in clinical settings are considered.

Linking Perceived Risk of Public Health Emergency to Psychological Distress among Chinese College Students: The Chain Mediation Role of Balanced Time Perspective and Negative Coping Styles

Background:With public health emergencies(PHE)worldwide increasing,the perceived risk of PHE has been one of the critical factors influencing college students’psychological distress.However,the mechanisms by which the perceived risk of PHE affects college students’psychological distress are not clear.The study’s purpose was to investigate the mediation roles of deviation from a balanced time perspective(DBTP)and negative coping styles between the perceived risk of PHE and psychological distress.Methods:A convenience sampling method was used to survey 1054 Chinese college students with self-reporting.Data was collected using the Public Risk Perception Scale(PRPS),the Zimbardo Time Perspective Inventory(ZTPI),the Simplified Coping Style Questionnaire(SCSQ),the PHE Anxiety Scale,and the Chinese version of the Patient Health Questionnaire(PHQ).The associations between the perceived risk of PHE,DBTP,negative coping styles,and psychological distress were clarified using the correlation analysis.Additionally,the mediating roles of DBTP and negative coping styles between the perceived risk of PHE and psychological distress were investigated using a structural equation model.Results:The findings revealed low to moderate correlations between the variables studied.Students’perceived risk of PHE was a positive predictor of their psychological distress(b=0.219,p<0.01).DBTP and negative coping styles played chain mediation roles between them with the effect being 0.009 and a 95%Boot CI of[0.003,0.023].This chain mediation model had an excellent fit index(χ^(2)/df=4.732,CFI=0.973,TLI=0.930,RMSEA=0.048,SRMR=0.047).Conclusion:These findings showed how the perceived risk of PHE affected college students’psychological distress.Specifically,these results suggested that improving students’mental ability to switch effectively among different time perspectives depending on task features and situational considerations and reducing their negative coping styles might be effective ways to promote their mental health.

基于Style 3D针织运动装虚拟设计与应用

基于Style 3D虚拟服装试衣软件,通过对虚拟试衣技术现状的分析,以针织运动装作为虚拟试衣对象,从四个部分进行展开,包含人体建模,版片的三维排布与缝合,运动装面料仿真与试穿效果展示,以及驳样改款与模块组合。借助于三维面料扫描技术获取面料材质纹理和相关辅料配件,进一步丰富针织运动装的装饰效果。3D快速驳样改款和虚拟展示能有效地优化设计过程,针织运动装模块组合模拟应用适应快时尚节奏下改款搭配的需求,根据现有版型快速驳样改款亦是对传统设计与展示模式的一种突破。

结合Pixel2style2Pixel的年龄转化方法

年龄转化在刑侦、人脸识别等领域有着重要作用。常见的年龄转化方法需要使用成对带有年龄注释的数据集进行训练,并且存在生成图像质量低、年龄语义信息不够解耦等问题。针对上述问题,在Pix2style2Pix的训练框架中,引入年龄识别、contextual损失函数,对整体损失函数做出符合年龄转化的改进,提取年龄信息并保证图像质量。改进编码网络配合损失函数对潜在空间的图像进行编辑,提出一种基于Pixel2style2Pixel的年龄转化方法。通过FFHQ、CelebA数据集,对所提方法进行验证,实验结果表明,在不采用成对年龄注释的训练集下,改进后的损失函数能生成更符合期望年龄的转化图像,人脸相似度距离为0.346、FID为45.69、SSIM为0.593 6、PSNR为19.64 dB,均优于对比方法,证明所提方法能够生成高质量、年龄语义高度解耦的转化结果。

Combining stochastic density functional theory with deep potential molecular dynamics to study warm dense matter

In traditional finite-temperature Kohn–Sham density functional theory(KSDFT),the partial occupation of a large number of high-energy KS eigenstates restricts the use of first-principles molecular dynamics methods at extremely high temperatures.However,stochastic density functional theory(SDFT)can overcome this limitation.Recently,SDFT and the related mixed stochastic–deterministic density functional theory,based on a plane-wave basis set,have been implemented in the first-principles electronic structure software ABACUS[Q.Liu and M.Chen,Phys.Rev.B 106,125132(2022)].In this study,we combine SDFT with the Born–Oppenheimer molecular dynamics method to investigate systems with temperatures ranging from a few tens of eV to 1000 eV.Importantly,we train machine-learning-based interatomic models using the SDFT data and employ these deep potential models to simulate large-scale systems with long trajectories.Subsequently,we compute and analyze the structural properties,dynamic properties,and transport coefficients of warm dense matter.

Robust Information Hiding Based on Neural Style Transfer with Artificial Intelligence

This paper proposes an artificial intelligence-based robust information hiding algorithm to address the issue of confidential information being susceptible to noise attacks during transmission.The algorithm we designed aims to mitigate the impact of various noise attacks on the integrity of secret information during transmission.The method we propose involves encoding secret images into stylized encrypted images and applies adversarial transfer to both the style and content features of the original and embedded data.This process effectively enhances the concealment and imperceptibility of confidential information,thereby improving the security of such information during transmission and reducing security risks.Furthermore,we have designed a specialized attack layer to simulate real-world attacks and common noise scenarios encountered in practical environments.Through adversarial training,the algorithm is strengthened to enhance its resilience against attacks and overall robustness,ensuring better protection against potential threats.Experimental results demonstrate that our proposed algorithm successfully enhances the concealment and unknowability of secret information while maintaining embedding capacity.Additionally,it ensures the quality and fidelity of the stego image.The method we propose not only improves the security and robustness of information hiding technology but also holds practical application value in protecting sensitive data and ensuring the invisibility of confidential information.

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Background: This study explored nursing personality traits (Big Five Inventory BFI), emotional intelligence (EI), and thinking styles (Rational, RS, and Experiential, ES) together with demographic data to see how they could relate and the implication of this on nurses and patient safety. Design: A cross-sectional study. Methods: Nursing sample (n = 435). Participants completed a self-report online survey, which included demographic information, followed by questionnaires to measure personality traits, thinking styles, and emotional intelligence. Results: Spearman’s rank correlation was computed to assess the relationship between EI and Extraversion;there was a moderate positive correlation between the two variables, r = 0.487, p r = 0.731, p r = 0.723, p r = -0.666, p r = 0.467, p Conclusion: Different studies consolidated each other, and all converge and channel into the concept of characterization of healthcare providers for better support to them and safer patient care. EI correlated with all BFI components, and both positively impacted all desirable behaviors. Therefore, it would be valuable if organizations invested in increasing EI in their providers as it might highlight areas for improvement and equip providers with appropriate and advantageous coping strategies.

基于Style3D技术的甪直水乡妇女服饰虚拟仿真研究

甪直水乡妇女服饰是具有典型特色的中国传统地方服饰,随着现代社会的发展,目前的影响力正逐渐式微。文章通过爬梳文献和实地考察甪直水乡妇女服饰博物馆,对各部件服装的服制特色进行梳理与分析。在此基础上,运用服装CAD软件绘制样板,运用Style 3D软件实现服装的虚拟仿真,包括细节配饰和纹样色彩的还原,为虚拟仿真中遇到的问题提出可行的解决方案。结果表明,文章所提出的数字化虚拟技术是一种有效的传统服饰传承方式,为发展和保护中国传统地方服饰文化拓宽了途径和思路。

Influence of childhood trauma on adolescent internet addiction: The mediating roles of loneliness and negative coping styles

BACKGROUND In the information age,the use of the internet and multimedia tools has large effects on the life of middle school students.Improper use of the internet may result in internet addiction(IA).Thus,actively exploring the factors influencing adolescent and the mechanism of addiction as well as promoting adolescent physical and mental health and academic development are priorities that families,schools,and society urgently need to address.AIM To explore the effect of childhood trauma on adolescent IA and to consider the roles of loneliness and negative coping styles.METHODS A total of 11310 students from six junior high schools in Henan,China,completed the child trauma questionnaire,IA test,loneliness scale,and simple coping style questionnaire.In addition,data were collected from 1044 adolescents with child-hood trauma for analysis with IBM SPSS 26.0 and AMOS 28.0;we examined the relationships among childhood trauma,IA,loneliness,and negative coping styles.RESULTS We found that childhood trauma not only directly affected adolescents’IA but also affected IA through loneliness and negative coping styles.CONCLUSION Therefore,this study has theoretical implications regarding adolescent mental health and may inform interventions for IA.

Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM’s holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM’s material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides comprehensive insights into TCM’s holistic material basis.Moreover,the research examines AI’s role in quantitative assessment and predictive analysis of TCM’s material components,proposing two specific AIdriven technical applications.This interdisciplinary effort underscores AI’s potential to enhance our understanding of TCM’s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.

Transient response of doubly-curved bio-inspired composite shells resting on viscoelastic foundation subject to blast load using improved first-order shear theory and isogeometric approach

Investigating natural-inspired applications is a perennially appealing subject for scientists. The current increase in the speed of natural-origin structure growth may be linked to their superior mechanical properties and environmental resilience. Biological composite structures with helicoidal schemes and designs have remarkable capacities to absorb impact energy and withstand damage. However, there is a dearth of extensive study on the influence of fiber redirection and reorientation inside the matrix of a helicoid structure on its mechanical performance and reactivity. The present study aimed to explore the static and transient responses of a bio-inspired helicoid laminated composite(B-iHLC) shell under the influence of an explosive load using an isomorphic method. The structural integrity of the shell is maintained by a viscoelastic basis known as the Pasternak foundation, which encompasses two coefficients of stiffness and one coefficient of damping. The equilibrium equations governing shell dynamics are obtained by using Hamilton's principle and including the modified first-order shear theory,therefore obviating the need to employ a shear correction factor. The paper's model and approach are validated by doing numerical comparisons with respected publications. The findings of this study may be used in the construction of military and civilian infrastructure in situations when the structure is subjected to severe stresses that might potentially result in catastrophic collapse. The findings of this paper serve as the foundation for several other issues, including geometric optimization and the dynamic response of similar mechanical structures.

A Data Intrusion Tolerance Model Based on an Improved Evolutionary Game Theory for the Energy Internet

Malicious attacks against data are unavoidable in the interconnected,open and shared Energy Internet(EI),Intrusion tolerant techniques are critical to the data security of EI.Existing intrusion tolerant techniques suffered from problems such as low adaptability,policy lag,and difficulty in determining the degree of tolerance.To address these issues,we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas:(1)it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights;and (2)it combines a tournament competition model with incentive weights to obtain optimal strategies for each stage of the game process.Extensive experiments are conducted in the IEEE 39-bus system,whose results demonstrate the feasibility of the incentive weights,confirm the proposed strategy strengthens the system’s ability to tolerate aggression,and improves the dynamic adaptability and response efficiency of the aggression-tolerant system in the case of limited resources.

Timing theory integrated nursing combined behavior change integrated theory of nursing on primiparous influence

BACKGROUND The comprehension and utilization of timing theory and behavior change can offer a more extensive and individualized provision of support and treatment alternatives for primipara.This has the potential to enhance the psychological well-being and overall quality of life for primipara,while also furnishing healthcare providers with efficacious interventions to tackle the psychological and physiological obstacles encountered during the stages of pregnancy and postpartum.AIM To explore the effect of timing theory combined with behavior change on selfefficacy,negative emotions and quality of life in patients with primipara.METHODS A total of 80 primipara cases were selected and admitted to our hospital between August 2020 and May 2022.These cases were divided into two groups,namely the observation group and the control group,with 40 cases in each group.The nursing interventions differed between the two groups,with the control group receiving routine nursing and the observation group receiving integrated nursing based on the timing theory and behavior change.The study aimed to compare the pre-and post-nursing scores of Chinese Perceived Stress Scale(CPSS),Edinburgh Postpartum Depression Scale(EPDS),Self-rating Anxiety Scale(SAS),breast milk knowledge,self-efficacy,and SF-36 quality of life in both groups.RESULTS After nursing,the CPSS,EPDS,and SAS scores of the two groups was significantly lower than that before nursing,and the CPSS,EPDS,and SAS scores of the observation group was significantly lower than that of the control group(P=0.002,P=0.011,and P=0.001 respectively).After nursing,the breastfeeding knowledge mastery,selfefficacy,and SF-36 quality of life scores was significantly higher than that before nursing,and the breastfeeding knowledge mastery(P=0.013),self-efficacy(P=0.008),and SF-36 quality of life(P=0.011)scores of the observation group was significantly higher than that of the control group.CONCLUSION The integration of timing theory and behavior change integrated theory has been found to be an effective approach in alleviating negative mood and stress experienced by primipara individuals,while also enhancing their selfefficacy and overall quality of life.This study focuses on the key concepts of timing theory,behavior change,primipara individuals,negative mood,and quality of life.

Enhancing the resolution of sparse rock property measurements using machine learning and random field theory

The travel time of rock compressional waves is an essential parameter used for estimating important rock properties,such as porosity,permeability,and lithology.Current methods,like wireline logging tests,provide broad measurements but lack finer resolution.Laboratory-based rock core measurements offer higher resolution but are resource-intensive.Conventionally,wireline logging and rock core measurements have been used independently.This study introduces a novel approach that integrates both data sources.The method leverages the detailed features from limited core data to enhance the resolution of wireline logging data.By combining machine learning with random field theory,the method allows for probabilistic predictions in regions with sparse data sampling.In this framework,12 parameters from wireline tests are used to predict trends in rock core data.The residuals are modeled using random field theory.The outcomes are high-resolution predictions that combine both the predicted trend and the probabilistic realizations of the residual.By utilizing unconditional and conditional random field theories,this method enables unconditional and conditional simulations of the underlying high-resolution rock compressional wave travel time profile and provides uncertainty estimates.This integrated approach optimizes the use of existing core and logging data.Its applicability is confirmed in an oil project in West China.

Style 3D软件在汉服虚拟展示设计中的应用

文章探讨了Style3D软件在汉服虚拟展示设计中的应用。结合历史、人物背景与阶级背景,运用Style3D软件构建精确汉服三维模型,设计动态走秀动作,并运用新媒体技术制作推广短视频。此方法突破时间和空间限制,降低成本投入,吸引更多人关注汉服文化。数字文物展示代表博物馆信息化应用,借助Style3D软件创建汉服虚拟模型,实现文物考古研究、保护及展示。此外,为解决汉服定制难题,设计开发汉服虚拟模型,利用软件进行三维虚拟建模,预先展示设计效果,降低成本,满足消费者需求。

The moderating role of NTSR1 polymorphisms on personality and coping styles among breast cancer patients

Background:Some personality traits could be a predictor for coping styles.The objective of this investigation was to examine the correlation between personality traits and coping mechanisms in the context of gene regulation among breast cancer patients.Material and methods:This cross-sectional study was performed in 2021.A total of 200 breast cancer patients were included in this study.Data were collected using the Trait Coping Style Questionnaire(TCSQ)and the Eysenck Personality Questionnaire-Revised Short Scale for Chinese(EPQ-RSC).And individuals’blood was tested for genotype.Results:The findings indicated that there existed an inverse relationship between extraversion and negative coping style while also demonstrating a significant association between extraversion and positive coping style.Neuroticism was positively correlated with negative coping style but negatively with positive coping style.The SNP of NTSR1 only moderated the relationship between neuroticism and negative coping styles in breast cancer patients.Conclusion:The present investigation delves into the correlation between personality traits and coping mechanisms at the molecular level in breast cancer patients.