Study on Free-Standing Riser Under Different Working Conditions Based on 3D Co-Rotational Beam Element

When the free standing riser(FSR)is in service in the ocean,its mechanical properties are affected by various factors,including complex ocean current forces,buoyancy of the buoyancy can,and torque caused by the deflection of the upper floating body.These loads have a great influence on the deformation and internal force of the FSR.The static performance of FSR is investigated in this research under various working conditions.The finite element model of FSR is established based on the co-rotational method.The arc length approach is used to solve the model.The load is exerted in increments.The current load on the riser changes with the configuration of the riser.The accuracy of the numerical method is verified by Abaqus software.The calculation time is also compared.Then,the effects of uniform current,actual current and floating body yaw motion on FSR are studied by parameter analysis.Additionally,the influence of the FSR on the ocean current after the failure of part of the buoyancy can chamber is analyzed.The results show that the numerical model based on the co-rotational method can effectively simulate the large rotation and torsion behavior of FSR.This method has high computational efficiency and precision,and this method can quickly improve the efficiency of numerical calculation of static analysis of deep-water riser.The proposed technology may serve as an alternative to the existing proprietary commercial software,which uses a complex graphical user interface.

The Importance of Stakeholder Engagement in Progressive Rehabilitation of Large-Scale Open Pit Mines—A Case Study of Lumwana Mine

Mining globally contributes to the growth of many economies of the world. Since its inception, the Zambian mining industry has contributed largely to the country’s economy. The various developments both in technology and knowledge have contributed to the scale at which mining is being done. Challenges in such a setting arise due to the socio-economic and environmental impacts of mining, which create multidimensional problems. The study investigated the importance of engaging stakeholders in progressive rehabilitation programs for large-scale open pit mines, using a case study of the Lumwana Mine and its host community, Manyama. A qualitative approach was used, and data was collected through one-on-one interviews. A combination of convenient and quota sampling was used to engage with host community leaders, professionals and academicians from various fields and institutions. Results showed that most participants had agreed that stakeholder engagement is important for progressive rehabilitation, but the challenge was that the host community and municipal council representatives were not aware of any progressive rehabilitation efforts at Lumwana Mine. This was attributed to a lack of stakeholder engagement and communication of mitigation progress activities by the Lumwana Mine. Results also revealed that the lack of environmental impact assessment regulations to compel companies to involve stakeholders throughout the entire life of the mine other than just at the pre-mining stage led to a lack of compliance and accountability in rehabilitation.

Re-Distributing Facial Features for Engagement Prediction with ModernTCN

Automatically detecting learners’engagement levels helps to develop more effective online teaching and assessment programs,allowing teachers to provide timely feedback and make personalized adjustments based on students’needs to enhance teaching effectiveness.Traditional approaches mainly rely on single-frame multimodal facial spatial information,neglecting temporal emotional and behavioural features,with accuracy affected by significant pose variations.Additionally,convolutional padding can erode feature maps,affecting feature extraction’s representational capacity.To address these issues,we propose a hybrid neural network architecture,the redistributing facial features and temporal convolutional network(RefEIP).This network consists of three key components:first,utilizing the spatial attention mechanism large kernel attention(LKA)to automatically capture local patches and mitigate the effects of pose variations;second,employing the feature organization and weight distribution(FOWD)module to redistribute feature weights and eliminate the impact of white features and enhancing representation in facial feature maps.Finally,we analyse the temporal changes in video frames through the modern temporal convolutional network(ModernTCN)module to detect engagement levels.We constructed a near-infrared engagement video dataset(NEVD)to better validate the efficiency of the RefEIP network.Through extensive experiments and in-depth studies,we evaluated these methods on the NEVD and the Database for Affect in Situations of Elicitation(DAiSEE),achieving an accuracy of 90.8%on NEVD and 61.2%on DAiSEE in the fourclass classification task,indicating significant advantages in addressing engagement video analysis problems.

基于MITRE Engage模型的网络安全能力建设思路

基于MITRE Engage模型在获取攻击方TTPs方面的优势,提出了基于MITRE Engage模型的网络安全建设思路。以识别网络安全建设关键过程域为主线,网络安全能力建设为内容,网络安全成熟度等级为结论展开网络安全能力建设的研究。基于MITRE Engage模型,识别了网络欺骗、对抗行动和行为分析3个关键过程域;构建了伪装、引导、遏制、检测、促进、收集、推理7项安全能力维度;基于安全能力维度,区分了普通、进阶和高级3级威胁防御成熟度。该思路能够使MITRE Engage模型快速落地,建立清晰的网络安全体系,提高网络安全防御能力,确保网络系统的安全稳定运行。

Leveraging Predictive Analytics for Strategic Corporate Communications: Enhancing Stakeholder Engagement and Crisis Management

This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a comprehensive literature review with case studies of five multinational corporations, allows us to investigate the applications, challenges, and ethical implications of leveraging predictive models in communication strategies. While our findings reveal significant potential for enhancing personalized content delivery, real-time sentiment analysis, and proactive crisis management, we stress the need for careful consideration of challenges such as data privacy concerns and algorithmic bias. This emphasis on ethical implementation is crucial in navigating the complex landscape of predictive analytics in corporate communications. To address these issues, we propose a framework that prioritizes ethical considerations. Furthermore, we identify key areas for future research, thereby contributing to the evolving field of data-driven communication management.

The Influence of Academic Self-Efficacy on Learning Engagement in Online Education in China:The Mediating Role of Effort

The shift towards online intelligent learning has become the norm in education and is now a fundamental part of modern educational activities.However,this new model can influence students’learning behavior and lead to changes in their approach to learning.Based on online intelligent learning,we investigated how the academic self-efficacy of nursing students affects their engagement with learning and explored the role of academic attribution as a mediator.Five hundred fifty-three nursing college students from Hebei and Hunan provinces in China participated in the online questionnaire.The results revealed that effort plays a mediating role in the relationship between academic self-efficacy and learning engagement.

Effects of Perceived Teacher Support on Student Behavioral Engagement in the Blended Learning Environment:Learning Experience as a Mediator

Blended learning(BL)has been widely adopted to improve students’academic achievements in higher education.However,its success relies mainly on student engagement,which plays an essential role in active learning and provides a rich understanding of students’experiences.The study utilized three self-designed scales-the Teacher Support Scale,Student Engagement Scale,and Student Learning Experience Scale-to gauge and examine the impact and relationship between perceived teacher support,student behavioral engagement,and the intermediary role of learning experiences.A cohort of 899 college students undertaking the obligatory College English course through BL modes across five Chinese universities actively participated by completing a comprehensive questionnaire.The results showed significant correlations between perceived teacher support,learning experience,and behavioral engagement.Perceived teacher support significantly predicted students’behavioral engagement,with socio-affective support exerting the most substantial predictive effects.All predictive effects were partially mediated by learning experience(learning mode,online resources,overall LMS-based learning,interaction with their instructor and peers,and learning outcome).The influence of perceived teacher support on behavioral engagement differed between students who reported the most positive(vs.negative)learning experiences.Suggestions for further research are offered for consideration.

Experiences of Staying Healthy in Relationally Demanding Jobs: An Interpretative Phenomenological Study of Work-Engaged Nurses in the Hospital

Background: Based on the experience of hospital nurses, the aim of this study is to explore the phenomenon of how work-engaged nurses stay healthy in relationally demanding jobs involving very sick and/or dying patients. Method: In-depth interviews were conducted with ten work-engaged nurses employed at the main hospital in one region in Norway. The interviews were interpreted using the Interpretative Phenomenological Analysis method (IPA). Results: The results indicate the importance of using the personal resources: authenticity and a sense of humour for staying healthy. The nurses’ authenticity, in the sense of having a strong sense of ownership towards their personal life experiences, and a sense of having a meaningful life in line with their own values and interests, was an important element when they considered their own health to be good in spite of repetitive strain injuries and perceived stress. These personal resources seem to be positively related to their well-being and work engagement, which serves as an argument for including them among other personal resources, often conceptualized in terms of Psychological Capital (PsyCap). The results also showed that the nurses worked actively and intentionally with conditions that could contribute to safeguarding their own health. Conclusion: The results indicated the importance of stimulating the nurses’ area of knowledge about caring for themselves in order to enable them to maintain good physical and mental health. A focus on self-care should be part of the agenda as early as during nursing education.

Job characteristics and staying engaged in work of nurses: Empirical evidence from Malaysia

Objective: The purpose of this study is to examine the relationship between job characteristics (job autonomy,job feedback,skill variety,task identity,task significance) and work engagement of nurses in Malaysia.Methods: A survey using self-administered questionnaires was used to collect data from a sample of 856 staff nurses working in eight public hospitals in Malaysia.A shortened nine-item version of the Utrecht Work Engagement Scale(UWES-9) was used to measure work engagement.The UWES-9 comprises three dimensions,which was measured with three items each: vigor,dedication,and absorption.Job characteristics (job autonomy,job feedback,skill variety,task identity,task significance) were measured with the corresponding subscales of the Job Diagnostic Survey.Each subscale consisted of three items.Hypotheses were tested using hierarchical regression analysis.Results: Findings indicated that all the five demographic variables (age,marital status,education,organizational tenure,job tenure) were unrelated to work engagement.The results further revealed that job autonomy (β=0.19,P < 0.01),job feedback (β=0.10,P < 0.01),task identity (β=0.13,P < 0.01),and task significance (β=0.08,P< 0.05) were positively related to work engagement.Skill variety (β=0.03,P> 0.05),however,did not affect work engagement.Conclusion: Job autonomy,job feedback,task identity,and task significance are important factors in predicting work engagement.The findings of this study highlighted the need to incorporate these core dimensions in nursing management to foster work engagement.

Socio-economic, Environmental and Health Aspects of Farm Workers Engaged in Mango Plantations

A cross-sectional survey of 489 male subjects in the age group 15 to 65 years engageddirectly or indirectly in mango cultivation along with 208 control subjects was carried out to find their socio-economic, environmental and health conditions. The conditions like high illiteracy rate (49.5%), poverty (PCI less than Rs 100 per month, 52.2%), poor housing (mud houses, 66.7%) unsafe water supply (78.6%) were prevailing in the surveyed population. The high respiratory morbidity may be attributed to high prevalence of smoking andprolonged inhalation of organic dusts during farming operation associated with illiteracyand poor socio-economic status. Gastrointestinal disorders were related to poor hygienic conditions, smoking and consumption of contaminated water. The symptoms pertaining to CNS, skin and eyes were found to be associated with exposure to pesticides

Culture Through Prism of Engaged Poetry

The paper is actually a literary research on （re）constructing cultural image of post-yugoslavian society, formed through literary sources, i.e., poetry. Using examples of award-winning young authors--Bojan Krivokapic, Mirko Bozic, and Sima Majic, different types of so-called engaged poetry are indicated. This kind of poetry is used to subtly, critically, or in a very subversive way relate to the existing world, but also a new postmodern identity is formed through specific and carefully chosen poetic lexis, deprived of any kind of structure or limitation. The poetry of mentioned authors is used as a provisory example in order to indicate that post-war period （as well as postmodern time） changes the perception of identity, from nationally and politically oriented structure to individual and subversive, conventions-free comprehension of Oneself. Although the three authors are very different in style and expression, what brings them together is tendency to escape conventional and traditional cultural images in order to emphasize the importance of Being Different, but Equally Rightful.

The Embodiment of Hope： An Engaged Buddhist Perspective

This study explores the phenomenon of human hoping and its role as one addressed times of deep suffering. Vaclav Havel＇s writing on ＂deep hope＂ and Maurice Merleau-Ponty＇s classic work on embodiment were seen as points of intersection with Engaged Buddhist teachings. In-depth interviews with two Engaged Buddhists supported the premise of this paper： Deep or embodied hope is quite different from ordinary wishing or ＂hoping＂ and plays a positive role as one moved through their suffering process.

＂Engaged Buddhism＂ Oriented Buddhism Charity and Philanthropy Analyzing of Three Buddhism- related NPOs in Nanjing

Religious people have participated in social service for a long time,and the spreading of the theory of "Engaged Buddhism"provides Charity work with much legitimacy among religious people. This paper uses three Buddhist NPO s as cases: "Classics Reading Class","H ui Ji Temple Charity ",and "H ome of Friends of Buddhism",tries to find what are the supporting theory of the three NPO s,howdo they motivate charity funds and volunteers,their activities,and their relationship with government. We find,the three NPO s use "Engaged Buddhism"as their leading theory,and they use charity and philanthropy to stimulate participants to serve people and society,combining belief with practice. Besides,in current circumstance,we also notice that the NPO s showthe characters of making a comprise with government and secular society.

MDNN:Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning

Prediction of students’engagement in aCollaborative Learning setting is essential to improve the quality of learning.Collaborative learning is a strategy of learning through groups or teams.When cooperative learning behavior occurs,each student in the group should participate in teaching activities.Researchers showed that students who are actively involved in a class gain more.Gaze behavior and facial expression are important nonverbal indicators to reveal engagement in collaborative learning environments.Previous studies require the wearing of sensor devices or eye tracker devices,which have cost barriers and technical interference for daily teaching practice.In this paper,student engagement is automatically analyzed based on computer vision.We tackle the problem of engagement in collaborative learning using a multi-modal deep neural network(MDNN).We combined facial expression and gaze direction as two individual components of MDNN to predict engagement levels in collaborative learning environments.Our multi-modal solution was evaluated in a real collaborative environment.The results show that the model can accurately predict students’performance in the collaborative learning environment.

A Study of Multimodal Intelligent Adaptive Learning System and Its Pattern of Promoting Learners’Online Learning Engagement

As the field of artificial intelligence continues to evolve,so too does the application of multimodal learning analysis and intelligent adaptive learning systems.This trend has the potential to promote the equalization of educational resources,the intellectualization of educational methods,and the modernization of educational reform,among other benefits.This study proposes a construction framework for an intelligent adaptive learning system that is supported by multimodal data.It provides a detailed explanation of the system’s working principles and patterns,which aim to enhance learners’online engagement in behavior,emotion,and cognition.The study seeks to address the issue of intelligent adaptive learning systems diagnosing learners’learning behavior based solely on learning achievement,to improve learners’online engagement,enable them to master more required knowledge,and ultimately achieve better learning outcomes.

CAS Scientist Engaged as Chancellor of a U.K. University

Prof. Yang Fujia, a nuclearphysicist and educator, hasbeen elected as the Chancel-lor of the University of Nottingham,in the U.K. the first Chinese scholarto hold such a position in a Britishacademic institution, according tothe University’s public affairs office. "I feel privileged," said Prof.Yang. "And it is also an honor

高校图书馆用户关系管理指南针报告

教育部高等学校图书情报工作指导委员会和北京大学图书馆合作研制《高校图书馆用户关系管理指南针报告》,构建了高校图书馆用户关系管理理论框架,并采用问卷调查法对全国中大规模高校图书馆的用户关系管理情况开展调研,从用户受益、用户信任、用户参与等细分维度及整体进展方面对高校图书馆用户关系管理工作现状进行系统分析,总结出高校图书馆用户关系管理在顶层规划部署、服务拓展细化、信任培育加固、用户参与深化等方面的发展趋势,为高校图书馆用户关系建设与发展提供方向指引。

Analysis of Students’ Preferences and Engagement with Mobile Games: A Study of Game Assets and Colour Impact

Mobile games are gaining in popularity among students, although the factors driving engagement remain poorly understood. This study, conducted among 378 students studying for a Bachelor’s degree in Computer and Digital Sciences at the Université Virtuelle de Côte d’Ivoire, explores the influence of game assets and colours on player engagement. Using an online questionnaire, the study identified students’ gaming preferences and their perception of colours. The results show that the key elements most favoured by students are graphics, sound design, the game system, narrative, interactivity and accessibility. What’s more, colour plays a decisive role in their preferences and commitment to educational mobile games.

A Study of the Effects of Employee Engagement on Job Satisfaction:Mediating Effect of Labor Relations Climate

With the rapid advancement of new technologies and the transformation of the economic model on a global scale,enterprises are facing unprecedented changes in the external environment and more diversified demands from employees.Therefore,it is essential for enterprises to bolster employee engagement by enhancing employees’job satisfaction,building a stable and harmonious internal climate,and adapting to the dynamic,complex external environment.This study analyzes the positive effects of employee engagement on job satisfaction,explores the mediating effect of labor relations climate in the relationship between the two,and proposes corresponding practical countermeasures and suggestions.

元宇宙视域下数字文旅用户参与行为的影响因素

元宇宙为数字文旅提供了全新的表现形式,探究元宇宙视域下数字文旅用户的参与行为有助于元宇宙技术方和数字文旅内容生产方明确如何激励用户参与,改善交互方式使用户获得更好的互动体验。文章选取相关研究对象进行访谈,应用扎根理论,结合SOR理论和MOA框架构建元宇宙视域下数字文旅用户参与行为的影响因素模型。研究发现:感知因素直接影响元宇宙视域下数字文旅用户的参与行为,内部动机和外部反馈两个维度通过感知因素的中介作用间接影响元宇宙视域下数字文旅用户的参与行为,机会条件和能力限制会调节感知因素对参与行为的影响。