Problem-Solving Based Intervention for Informal Caregivers: A Scoping Review

Background: Caregiving for someone is a huge task for informal caregivers. The caregiving role is often challenging and overwhelming for them. Stress, burden, and depression have been frequently identified as the negative caregiving experiences. This systematic review synthesized the available evidence for the problem-based intervention provided for caregivers as there is little insight about the effects of problem-based intervention on caregivers. Objectives: To describe: 1) the design of problem-solving intervention;2) the effects of problem-solving intervention for caregiver outcomes. Methods: This review followed Arksey and O’Malley’s methodological framework for conducting scoping reviews which entail setting research questions, selecting relevant studies, charting the data and synthesizing the results. FPRISMA guidelines were adopted and several databases were searched including MEDLINE;EMBASE;web of science. This review contains literature from 2012 to 2019 on problem-solving-based intervention which intended to caregivers. Results: 41 publications representing 27 unique problem-based interventions. Problem-solving-based intervention has different extent effects on caregiver emotion status, burden and quality of life. Conclusions: Problem-solving intervention is promising in caregiver intervention which could reduce caregiver depression, anxiety and burden.

Impact of self-directed learning readiness and learning attitude on problem-solving ability among Chinese undergraduate nursing students

Objective: To explore the effects of self-directed learning readiness and learning attitude on problem-solving ability among Chinese undergraduate nursing students. Methods: A convenience sampling of 460 undergraduate nursing students was surveyed in Tianjin, China. Students who participated in the study completed a questionnaire that included social demographic questionnaire, Self-directed Learning Readiness Scale, Attitude to Learning Scale, and Social Problem-Solving Inventory. Pearson’s correlation analysis was performed to test the correlations among problem-solving ability, self-directed learning readiness, and learning attitude. Hierarchical linear regression analyses were performed to explore the mediating role of learning attitude. Results: The results showed that learning attitude (r=0.338, P<0.01) and self-directed learning readiness (r=0.493, P<0.01) were positively correlated with problem-solving ability. Learning attitude played a partial intermediary role between self-directed learning readiness and problem-solving ability (F=74.227, P<0.01). Conclusions: It is concluded that nursing educators should pay attention on students’ individual differences and take proper actions to inspire students’ self-directed learning readiness and learning attitude.

Method and Apparatus for Creating Problem-Solving Complexes from Individual Elements

Based on the biological key-lock-principle common in various biological systems such as the human brain, this paper relates to a method and device for creating problem-solving complexes from individual elements that can be coupled with one another and that have different properties to solve problems. The problem solution can be carried out either serially with a large computer, or with several independent, hierarchically joined computers. In this system, an independent control unit that assumes a multitude of tasks and also acts as an interface with access to all participating computers, is assigned to each problem or object class according to the amount of potential problem-oriented solutions. Such a unit prepares the partial solutions found in its computer for the totality of the solutions computed in the associated computers, finally leading to a total problem solution.

Role of academic self-efficacy in the relationship between self-directed learning readiness and problem-solving ability among nursing students

Objective: Problem-solving should be a fundamental component of nursing education because It is a core ability for professional nurses. For more effective learning, nursing students must understand the relationship between self-directed learning readiness and problem-solving ability. The aim of this study was to investigate the relationships among self-directed learning readiness, problemsolving ability, and academic self-efficacy among undergraduate nursing students.Methods: From November to December 2016, research was conducted among 500 nursing undergraduate students in Tianjin, China,using a self-directed learning readiness scale, an academic self-efficacy scale, a questionnaire related to problem-solving, and selfdesigned demographics. The response rate was 85.8%.Results: For Chinese nursing students, self-directed learning readiness and academic self-efficacy reached a medium-to-high level,while problem-solving abilities were at a low level. There were significant positive correlations among the students' self-directed learning readiness, academic self-efficacy, and problem-solving ability. Furthermore, academic self-efficacy demonstrated a mediating effect on the relationship between the students' self-directed learning readiness and problem-solving ability.Conclusions: To enhance students' problem-solving ability, nursing educators should pay more attention to the positive impact of self-directed learning readiness and self-efficacy in nursing students' education.

SRv6 Policy业务可靠性方案探讨

介绍了SRv6 Policy、SBFD技术及5G承载网络SRv6 Policy业务可靠性方案。针对SBFD误触发问题,提出了在被动端生成BSID、部署引流策略及设置不同检测周期等3种完善措施,这些措施不仅提高了业务的可靠性,还显著提升了网络服务能力.

Effects of Sex Differences and Problem-Solving Strategies on Digital Game Performance

Problem-solving strategy i,,; a critical skill in inquiry-based learning. Several studies have investigated how to use learning games to improve inquiry abilities. However, not every learner favors this kind of approach. Thus, we need to examine how human factors affect learners＇ reactions to the use of a digital game to support inquiry-based learning. This study addressed this issue by developing a digital game, ＂Baking Town＂, and using the game to examine the effects of two central human factors, sex differences and problem-solving strategies, on students＇ performance. The results demonstrate that students＇ inquiry abilities were significantly improved after they participated in the digital game. The results also demonstrate that the digital game may be a feasible way to reduce differences between boys and girls in this domain. Finally, we used the findings to develop a framework that can be used to enhance our understanding of sex differences and the use of problem-solving strategies in the context of digital games.

Creative Problem-Solving and Music: Analyzing the Correlation between Music and Divergent Thinking Abilities

This research paper delves into the connection, between problem-solving and music. It’s a topic that has piqued the interest of scholars in fields, including science and neuroscience. The study explores how music can influence our ability to think divergently which is an aspect of creative thinking. It builds upon advancements in methods to investigate the relationship between music and divergent thinking aiming to uncover potential correlations. Doing it offers insights into the interplay between artistic expression and cognitive innovation. This research combines an analysis of existing literature with data collected from a group of participants shedding light on how music impacts our capacity for creative thinking. It demonstrates that music plays a role as a catalyst, for stimulating and enhancing thinking abilities.

A Study on the Multiple Differential Structure of Development in China^s Ethnic Areasand Exploiting the Differentiation and Collaborative Policy—On the New Form of China’s Ethnic Relations and the New System of Ethnic Policies

A fter 60 years of im plem entation, the ethnic regional autonomous policy has provided basic p o litica l support for promoting the common development and prosperity of a ll ethnic groups.

A View of Beijing’s Traffic Policy:Evaluation on the Policies Released in 2010 to Ease Traffic Congestion

In today’s society where the economy is developing rapidly and the process of urbanization is accelerating,the traffic in major cities in China is facing tremendous pressure.The economy of Beijing has developed rapidly,its population is dense,the living standard of people has improved significantly,and the number of cars has increased dramatically.From the end of 2005 to the end of November 2010,motor vehicles in Beijing increased from about 2.58 million to about 4.69 million.The problem of traffic congestion has become more prominent,affecting the daily lives of the residents.

Circumstance Leading to Pregnancy and Problem-Solving Process of Unwanted Teenage Pregnancy in the Phetchaburi Province, Thailand

This descriptive qualitative study aims to understand circumstance leading to pregnancy and problem-solving process of unwanted teenage pregnancy in the Phetchaburi Province. A qualitative research design was used. Participants were 15 unwanted pregnant teenagers, aged between 15 and 19 years. All participants were primiparous and interviewed at postpartum stage. A semi-structured in-depth interview was the main technique of data collection. Data was analyzed using the process of manifest content analysis. Five themes, nine categories, 19 subcategories emerged from the data analysis. The themes were： （1） circumstance leading to pregnancy was the failure of contraceptive use and lack of knowledge about reproductive health; （2） negative emotional reactions included worry about parents＇ rejection and being blamed by others; （3） boyfriend＇s reaction to the pregnancy had a big impact on teen girl＇s feelings toward the situation. The majority of the teenagers＇ pregnancies accepted a child in the womb. The couples did not consider termination of the pregnancy; （4） parent＇s seeking a solution to serve the family dignity by organizing wedding ceremony and collaboratively plans for the future; and （5） life changes after the pregnancy due to the strong concerns about being blamed by the society. Findings from this study suggest that teens should particiPate in sex education classes that are specific for teenagers to prevent becoming pregnant. Moreover, the educational program specific for the teenagers＇ needs should be established so that they can continue their pregnancy without quitting school.

Policy Framework for Community and State Policing in Combating Rising Security Challenges in Nigeria

Viability of decentralizing policing in Nigeria had been on the front burner of security discourse since Nigeria returned to democratic governance in 1999.Valid points had been put forward by both those in support and those in opposition.The Community Policing Department of the Nigeria Police had remained more of an administrative unit with little impact beyond the Police Community Relations Committee activities.Rising cases of herdsmen attacks of various communities,terrorist insurgency in the North-East,kidnappings across the different geo-political zones had resulted in the need to interrogate the efficacy of effective community policing and state policing as viable options to combating rising security challenges.The study adopted qualitative method,and being a library research relied entirely on secondary data.Sources of data included journals,relevant textbooks,newspapers,magazines,and materials downloaded from internet.The paper argues that the traditional security agencies had failed to effectively combat the many security challenges that Nigeria faces.The combination of the official security agencies and the military had failed to effectively combat insecurity in the country.The local vigilante groups on the other hand had made valuable inroad in curtailing some of the security challenges including terrorist insurgency as a result of their knowledge of the terrain.The paper concludes that to effectively combat the many security challenges,there is a need for new policy framework at the federal and state levels that would decentralize policing and give legal backing for collaboration between the official security agencies under the federal government and state security outfits including the vigilante.

Study on the Relationship Between College Students’ Self-Leadership and Career Preparation from the Perspective of Problem-Solving Skills

Based on the measurement of problem-solving skills,self-leadership,and career preparation,this paper collects 251 questionnaires from college students through online questionnaire survey.Through the analysis of the questionnaire results,this paper aims to clarify the relationship between college students’self-leadership and career preparation from the perspective of problem-solving skills,in order to provide ideas for college students’future career path and development.The results showed that from the perspective of problem-solving skills,there is a positive correlation between self-leadership and career preparation,and self-leadership has a positive impact on career preparation.

Enhancing the Problem-Solving Skills of Vocational Students Through Skills Competition

Unlike general education,vocational education aims to nurture skilled people for various sectors in the society.The development of students’problem analysis and problem-solving skills is crucial.As an important part of the vocational education system,skills competitions are considered a“booster”for improving the quality of teaching in vocational institutions.This paper examines the problem-solving skills of students in preparation for skills competition.First of all,we introduce China’s education policies and conduct a review of early scholars’views,followed by a discussion on the specific problems faced in the design of the entry for skills competition and an exploration of the process of enhancing students’problem-solving skills around these problems;we then propose several suggestions for vocational institutions to enhance their participation in skills competitions.Skills competitions provide a“special stage”for students in vocational institutions to show their abilities.The question of how this“stage”can be utilized to better improve students’abilities is worth exploring in different fields.

Policy Gradient Adaptive Dynamic Programming for Model-Free Multi-Objective Optimal Control

Dear Editor,In this letter,the multi-objective optimal control problem of nonlinear discrete-time systems is investigated.A data-driven policy gradient algorithm is proposed in which the action-state value function is used to evaluate the policy.In the policy improvement process,the policy gradient based method is employed.

Research on Policy Diffusion Path and Reproduction of River Chief System

The River Chief System (RCS) has evolved from local innovative practices to a national water governance strategy to address the current challenges in China’s water environmental management. In contrast to existing research that focuses on the strengths, weaknesses, and improvements of RCS, this study uses literature study to reveal the dynamic evolution of RCS through three phases, with RCS spreading from developed coastal areas to central and western inland regions. RCS’s diffusion path involves vertical diffusion between central and local levels and horizontal diffusion among local governments. Moreover, RCS has also achieved conceptual spillover, gradually expanding into other governance domains, such as the Lake Chief System, the Field Chief System, the Forestry Chief System, and the integration of multiple chief roles. However, it is essential to scrutinize the phenomenon of applying similar governance mechanisms to different areas, as it may result in challenges such as overburdening local governments, insufficient public participation, oversimplification of differences in natural resource endowments, and limited applicability. This study also provides suggestions on how to address these challenges. The study contributes theoretical insights and policy implications, providing a foundation for practical policy innovation.

Inactivated H9N2 vaccines developed with early strains do not protect against recent H9N2 viruses:Call for a change in H9N2 control policy

H9N2 virus has been widely distributed in wild birds and poultry around the world since its first emergence in the United States of America in 1966(Gu et al.2017;Carnaccini and Perez 2020).The virus appeared in chickens in China in the early 1990s,and over the last two decades has gradually become the dominant epidemic subtype(Sun and Liu 2015;Bi et al.2020).Although H9N2 virus infection alone cannot cause severe disease or death in poultry,H9N2 virus-infected birds experience a degree of egg production drop and can be easily infected by other pathogens,thus causing economic losses for poultry industry.

Automatic Generation of Attribute-Based Access Control Policies from Natural Language Documents

In response to the challenges of generating Attribute-Based Access Control(ABAC)policies,this paper proposes a deep learning-based method to automatically generate ABAC policies from natural language documents.This method is aimed at organizations such as companies and schools that are transitioning from traditional access control models to the ABAC model.The manual retrieval and analysis involved in this transition are inefficient,prone to errors,and costly.Most organizations have high-level specifications defined for security policies that include a set of access control policies,which often exist in the form of natural language documents.Utilizing this rich source of information,our method effectively identifies and extracts the necessary attributes and rules for access control from natural language documents,thereby constructing and optimizing access control policies.This work transforms the problem of policy automation generation into two tasks:extraction of access control statements andmining of access control attributes.First,the Chat General Language Model(ChatGLM)isemployed to extract access control-related statements from a wide range of natural language documents by constructing unique prompts and leveraging the model’s In-Context Learning to contextualize the statements.Then,the Iterated Dilated-Convolutions-Conditional Random Field(ID-CNN-CRF)model is used to annotate access control attributes within these extracted statements,including subject attributes,object attributes,and action attributes,thus reassembling new access control policies.Experimental results show that our method,compared to baseline methods,achieved the highest F1 score of 0.961,confirming the model’s effectiveness and accuracy.

A quantitative study of disruptive technology policy texts:An example of China’s artificial intelligence policy

Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.

Mapping Climate Services for Disaster Risk Management: A Systematic Review and Research Gaps from a Policy Process Perspective

Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.

Geographical Distribution of Atmospheric Nitrogen Deposition in China and Its Response to Emission Control Policy

Atmospheric nitrogen(N)deposition has experienced significant change because of anthropogenic emissions,thereby exert-ing a pronounced impact on global ecosystem services.With the rapid development of industry and agriculture and the swift expansion of urban areas in China since the 1980s,reactive nitrogen(Nr)emissions and N deposition have substantially increased.In pursuit of im-proving air quality,China has implemented a series of environmental protection policies and undertaken diverse measures to reduce pol-lutant emissions.This paper is a review of multivariate data sources of atmospheric N deposition based on the results of literature from 1980 to 2023,and the original data from 1980 to 2020 are summarized,counted and calculated.The main findings are as follows:1)the annual average atmospheric N deposition ranged from approximately 20-40 kg/(ha·yr),with the variability primarily linked to different assessment methods;2)regional disparities were evident in the spatial distribution of N deposition,with elevated values concentrated in areas with intense Nr emissions;3)atmospheric N deposition significantly declined after 2010,particularly the deposition of oxidized N,while reduced N deposition remained stable.These results reflect the effects of China's serious control policies on nitrogen oxide(NO.)emissions and strengthen the importance of agricultural NH3 emission mitigation.This study contributes to a comprehensive understand-ing of the N dynamics in the emission-deposition process,and provides a scientific foundation for the research of environmental protec-tion,climate change,and sustainable development.