Enhancing pediatric asthma management through multifaceted health education

BACKGROUND Pediatric asthma is a significant public health issue that impacts the quality of life of children globally.Traditional management approaches focus on symptom control and medication adherence but often overlook the comprehensive educational needs of patients and their families.A multifaceted health education approach may offer a more holistic strategy in managing pediatric asthma,especially in outpatient settings.AIM To evaluate the efficacy of a comprehensive health education strategy in improving disease management,medication adherence,and quality of life among children with asthma in outpatient settings.METHODS In total,100 pediatric patients with severe asthma were enrolled from January 2021 to November 2022 and randomly allocated to a control group(n=50)or an observation group(n=50).The control group received standard nursing care,including basic nursing interventions and health education upon admission.In contrast,the observation group was exposed to a broad spectrum of health education methodologies,including internet-based hospital systems,social media channels,one-on-one verbal education,informational brochures,slide present ations,telephone check-ins,animated videos,and illustrated health education manuals.Data on asthma management knowledge,symptom control,quality of life[St.George’s Respiratory Questionnaire(SGRQ)],treatment adherence,and nursing satisfaction were collected and analyzed.RESULTS The scores of the observation group in knowledge areas,such as medication,home care,disease understanding,symptom management,prevention strategies,and nutritional guidance,were significantly higher than those of the control group(P<0.05).In addition,the observation group exhibited greater symptom control,improved quality of life based on their SGRQ scores,and higher treatment adherence post-intervention(P<0.05).Nursing satisfaction was also rated higher in the observation group across all evaluated areas(P<0.05).CONCLUSION Implementing a diversified health education approach in pediatric asthma management significantly enhances disease understanding,symptom management,and treatment adherence,leading to improved quality of life for affected children.These findings underscore the importance of multifaceted clinical health education in augmenting disease awareness and facilitating continuous improvements in asthma control rates,highlighting the potential benefits of incorporating comprehensive educational strategies into pediatric asthma care protocols.

Prediction of multifaceted asymmetric radiation from the edge movement in density-limit disruptive plasmas on Experimental Advanced Superconducting Tokamak using random forest

Multifaceted asymmetric radiation from the edge(MARFE) movement which can cause density limit disruption is often encountered during high density operation on many tokamaks. Therefore, identifying and predicting MARFE movement is meaningful to mitigate or avoid density limit disruption for the steady-state high-density plasma operation. A machine learning method named random forest(RF) has been used to predict the MARFE movement based on the density ramp-up experiment in the 2022’s first campaign of Experimental Advanced Superconducting Tokamak(EAST). The RF model shows that besides Greenwald fraction which is the ratio of plasma density and Greenwald density limit, dβp/dt,H98and d Wmhd/dt are relatively important parameters for MARFE-movement prediction. Applying the RF model on test discharges, the test results show that the successful alarm rate for MARFE movement causing density limit disruption reaches ~ 85% with a minimum alarm time of ~ 40 ms and mean alarm time of ~ 700 ms. At the same time, the false alarm rate for non-disruptive and non-density-limit disruptive discharges can be kept below 5%. These results provide a reference to the prediction of MARFE movement in high density plasmas, which can help the avoidance or mitigation of density limit disruption in future fusion reactors.

Supervision of Public Opinion under the Background of Social Co-governance-Take the Changsheng Vaccine Incident as an Example

Objective To provide reference for the news media to give play to the role of public opinion supervision in time based on the background of drug safety and social co-governance.Methods The method of case analysis was used to make a retrospective study on the Changsheng vaccine incident in 2018.Then the role of mainstream media,pharmaceutical media,and self-media in the supervision of public opinion was investigated.Results and Conclusion Both mainstream and pharmaceutical media played an excellent role in supervising the Changchun Changsheng vaccine incident.However,the content published by some pharmaceutical media was hard to understand by ordinary people.Besides,the role of self-media in public opinion supervision was polarized.Some self-media closely kept pace with mainstream media in public opinion supervision.Other self-media unilaterally pursued the click rate,publishing false information to guide wrong public opinion.The news media should optimize the supervision efficiency of drug safety.On the one hand,pharmaceutical media should pay attention to the fact that readers may not understand the difficult terms because they are not professional.On the other hand,self-media practitioners should improve their professional quality so that they will not publish some fake news to mislead public opinion.

DJ-1 as a deglycating enzyme:a unique function to explain a multifaceted protein?

The Parkinson＇s disease （PD）-associated protein DJ-1 is considered a multifunctional protein involved in oxidative stress responses. Although a large variety of functions has been attributed to DJ- 1, currently no consensus has been found on its effective cellular activity. Indeed, the protein has been described as a transcriptional modulator, a regulator of mitochondrial activity, a stabilizer of the nuclear factor erythroid 2-related factor （Nrf2）, a chaperone, a pro- tease, and a glutathione （GSH）-independent glyoxalase （Ariga et al., 2013）. Very recently, the additional participation of the protein to carbonvl stress defense has been emereing （Richarme et al., 2015）.

Knowledge-Based Multifaceted Modeling Methodology for Open Complex Giant Systems

In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models are clarified. Furthermore, the knowledge based multifaceted modeling methodology for open complex giant systems is emphatically studied. The major points are as follows: (1) nonlinear mechanism and general information partition law; (2) from the symmetry and similarity to the acquisition of construction knowledge; (3) structures for hierarchical and nonhierarchical organizations; (4) the integration of manifold knowledge models; (5) the methodology of knowledge based multifaceted modeling.

新时代“枫桥经验”视域下人民法院参与社会治理路径重构

转型时期社会治理的复杂性与司法功能的有限性需要现代化的社会治理体系和治理方式。人民法院是推动完善社会治理的重要力量。司法审判能够输出裁判规则与个案正义,但有限的司法资源不仅制约矛盾化解效果,也无法完全满足社会治理的需要。“枫桥经验”是实现善治的方法论和实践论,对人民法院参与社会治理具有重要指导意义。人民法院要坚持依法履职,主动融入党委领导的综合治理格局,实现审判职能向社会前端治理延伸。通过构建诉讼与非诉讼有机衔接的递进式多元纠纷解决体系,提升社会治理效能。推进完善有理有据的胜诉机制,注重适法统一与情理法相结合,实现矛盾的实质性解决。积极创建“枫桥式人民法庭”,形成辐射辖区的司法服务平台,推动矛盾化解体系智能化转型,实现数据融合共享。

ProNet Adaptive Retinal Vessel Segmentation Algorithm Based on Improved UperNet Network

This paper proposes a new network structure,namely the ProNet network.Retinal medical image segmentation can help clinical diagnosis of related eye diseases and is essential for subsequent rational treatment.The baseline model of the ProNet network is UperNet(Unified perceptual parsing Network),and the backbone network is ConvNext(Convolutional Network).A network structure based on depth-separable convolution and 1×1 convolution is used,which has good performance and robustness.We further optimise ProNet mainly in two aspects.One is data enhancement using increased noise and slight angle rotation,which can significantly increase the diversity of data and help the model better learn the patterns and features of the data and improve the model’s performance.Meanwhile,it can effectively expand the training data set,reduce the influence of noise and abnormal data in the data set on the model,and improve the accuracy and reliability of the model.Another is the loss function aspect,and we finally use the focal loss function.The focal loss function is well suited for complex tasks such as object detection.The function will penalise the loss carried by samples that the model misclassifies,thus enabling better training of the model to avoid these errors while solving the category imbalance problem as a way to improve image segmentation density and segmentation accuracy.From the experimental results,the evaluation metrics mIoU(mean Intersection over Union)enhanced by 4.47%,and mDice enhanced by 2.92% compared to the baseline network.Better generalization effects and more accurate image segmentation are achieved.

A Hybrid Channel Stock Model for Stock Price Forecasting with Multifaceted Feature Fusion

Stock market is volatile and predicting stock prices is a challenging task.Stock prices are influenced by multiple factors,and prediction using only numerical or image features is ineffective.To solve this problem,we propose a Hybrid Channel Stock model that incorporates multiple features of basic stock data,K-line charts and technical indicator factors for predicting the closing price of a stock on day n+1.The model combines multiple aspects of data and uses a multi-channel structure including improved CNN-TW,bidirectional LSTM and Transformer network.First,we construct the multi-channel branches of the multi-faceted feature fusion input network model;second,in this paper,we will use the concatenate method to stitch the output of each branch as the input of the rest of the network;the last layer in the network is the fully connected layer,which combines the linear activation function regression to output the predicted prices.Finally,we conducted extensive experiments on the Dow 30,SSH 50 and CSI100 indices.The experimental results show that the Hybrid Channel Stock method has the best performance with the smallest MSE,RMSE,MAE and MAPE compared with existing models.in addition,the experiments on different trading days validate the stability and effectiveness of the model,providing an important reference for investors to make stock investment decisions.

Multifaceted natural resources and green energy transformation for sustainable industrial development

Climate change is the most phenomenal challenge to humanity,and its roots are intervened with unsustainable industrialization,exercising overexploitation of natural resources.Therefore,the departure from non-renewable to renewables has become inevitable,though thought-provoking.In this respect,we explore how green energy transformation moderates the impacts of multifaceted natural resources on sustainable industrial development in the presence of other covariates involving technological progress,financial development,and economic progress.We compiled data from Group of Seven(G-7)members over the 19952018 period and applied panel quantile regression(PQREG)to capture the effects across varying levels of quantiles of sustainable industrial development.Results revealed a positive role of natural gas rents,while coal,forest,and total natural resource rents contributed adverse implications for sustainable industrial development.However,the green energy transformation proved to be the game changer because it not only directly induced sustainable industrial development improvement but also turned the unfavorable effects of coal,forest,and total natural resources into favorable ones by interacting with those multifaceted natural resources.Technological,financial,and economic progress supported sustainable industrial development in G-7 nations,particularly in members with existing middle and upper scales of sustainable industrial development.These findings are robust enough when subjected to different estimation tools.In light of these outcomes,the interaction between green energy transformation and natural resource policy is inevitably critical to attaining natural resource efficiency for sustainable industrial development.Therefore,it is imperative to establish a close policy coordination between advancing green energy technology and allocating natural resource revenue to achieve sustainable development goals(SDGs),with a particular emphasis on SDG-7 and SDG-13。

人民调解在乡村治理中的运行困境与完善进路——以H省A村为例

随着乡村振兴战略的深入实施,人民调解作为社会矛盾纠纷化解机制,在乡村治理中的重要性愈发凸显,成为法治实践与理论研究的焦点。从治理方式、资源及目的的角度分析,人民调解与现代乡村治理均强调多元主体协同治理、整体性治理,依托自治、法治、德治“三治融合”,旨在维护社会与经济秩序,构建和谐社会。通过H省A村的实地考察,发现人民调解相较于正式化机制的认同度有所下降,虽在调解组织、队伍、流程建设上取得一定成效,但主要局限于化解人情主导关系纠纷,且A村人民调解存在参与主体固化致使解纷能力不足、相关配套制度及支持不够完善,以及难以化解财产权主导关系纠纷等问题。为此,需要坚持共建共治共享理念,构建“一核多元”解纷新格局,以提高解纷能力;充分利用乡村治理资源,构建“三治融合”解纷新模式,以加强相关支持;践行新时代“枫桥经验”,构建“三调联动”解纷新体系,以化解新型纠纷,从而推动乡村治理向更高水平发展。

从巴林左旗辽上京博物馆馆藏文物看中华民族多元一体格局

契丹文化渊源地的西拉木伦河和老哈河流域正是草原游牧文化和中原农耕文化的接壤地。契丹人从游牧到定居,再到从事大规模城市建设活动等,都伴随着不同民族文化之间的相互碰撞与交流。辽上京临潢府是首个从草原崛起的大型城市,而现在的辽上京博物馆则是内蒙古自治区唯一一个以展览辽代皇城为主题的博物馆。辽上京博物馆馆藏文物中的壁画和墓志是其特色。辽上京博物馆收藏的滴水壶辽墓壁画是辽代壁画代表性作品。另馆藏的20多方墓志中,韩氏家族墓志是馆藏精品之一。这些巴林左旗辽上京博物馆馆藏文物更是体现出了中华民族多元一体格局。

多元触媒视角下爱国主义教育资源活化路径研究

当前我国爱国主义教育工作重要性正逐步凸显,爱国主义教育资源应进一步加强保护开发与活化利用。应用触媒理论研究爱国主义教育资源保护路径,在全面梳理资源点现状条件的基础上,构建多元触媒潜力评估体系因子模型,根据评估结果提取三类触媒载体,同时明确不同触媒载体适用的触媒因子类型,进而确定其定向介入与反应方式。最后通过实例研究,阐述不同类型触媒载体定点提升和线性串联的具体实施路径。

和光溢彩——铜纳米簇的光致发光现象

本实验自制谷胱甘肽与半胱氨酸分别配位的铜纳米簇(CuNCs),根据CuNCs光致发光原理,设计实验探究配体、氧化剂、pH、溶剂及温度对CuNCs光致发光的影响,并开发出科普实验试剂盒。本试剂盒携带方便、操作简单、安全性高,适合多种科普场景,能够满足具有不同梯度科普需求的人群,增强公众对纳米材料的了解,让公众感受到化学之美。

绿证—碳联合机制下含多类型需求响应和氢能多元利用的综合能源系统优化调度

随着新型电力系统和能源互联的持续推进,构建高效、低碳和经济的能源供应系统对发展双碳战略至关重要。为此,提出一种绿证—碳交易联合机制下考虑多类型需求响应和氢能多元利用的综合能源系统(integrated energy system,IES)优化运行策略。首先,为充分发挥需求侧资源的调节能力,构建含价格型、激励型和替代型的多类型需求响应模型。其次,针对氢能的清洁特性,构建含电制氢、氢制甲烷、氢转热电和天然气混氢的氢能多元利用模型。最后,将绿证交易和碳交易相结合,提出绿证—碳联合交易机制,并构建计及绿证—碳联合交易机制的IES低碳经济运行模型。算例仿真设置不同运行方案对比,验证该文所提模型在提升可再生能源消纳、能源利用效率和降低碳排放量等方面的有效性。

英国脱欧对不同经济体的影响研究

本文以英国脱欧这一重大国际事件为议题,回顾历史,展望未来,聚焦经济领域,深入研究英国脱欧在经济全球化中对不同经济体的影响。全文分为四个部分,第一部分介绍了英国脱欧对其自身经贸短期弊大于利、长期有着积极的影响;第二部分阐述了英国脱欧对欧盟国家在货币、金融、劳动力等方面产生的冲击;第三部分分析了英国脱欧对中国经济带来的阻碍和新的机遇;第四部分提出了对中英关系在金融领域、全球治理和科技领域开展多元化互惠互利合作的建议,以供参考。

The Development and Experience of American Pharmaceutical Industry Associations and Its Enlightenment to China

Objective To study the development history and current situation of pharmaceutical industry associations in the United State and to provide reference for China’s pharmaceutical industry associations.Methods Literature research and comparative study were used to investigate the development history and current situation of pharmaceutical associations in the United States.Then,their characteristics and experiences were summarized.Some countermeasures and suggestions were put forward for the existing problems of pharmaceutical associations in China.Results and Conclusion The institutional environment of pharmaceutical associations in the United States is relatively good,reflecting the characteristics of emphasizing process management and neglecting entrance management with and the help of public supervision.At the same time,the government advocates market competition by adhering to the market-oriented services for the public.American pharmaceutical industry associations have strong innovation capacity and perfect credit system.Drawing on the experience of pharmaceutical industry associations in the United States,China should strengthen the construction of pharmaceutical industry associations.Firstly,the supervision mechanism should be improved.Secondly,these associations should have good partnerships with the government and offer the public the best services.Finally,the fund-raising mechanism of pharmaceutical industry associations should be optimized to ensure the innovative development of the pharmaceutical industry.

高等教育中的国际化与高等教育的国际化:对概念演变的批判性反思

高等教育国际化已成为一个非常广泛多样的概念,它在机构、国家和区域层面有着不同定义,并且随时间的推移而演变,以应对不断变化的环境和挑战。文章阐述对“高等教育的国际化”和“高等教育中的国际化”的不同看法、理解,以及关键的范式转化,并得出批判性反思——未来十年,国际化作为一个概念和应对全球大变局的实践,需要从短期的新自由主义转向长期的社会利益,从仅造福于少数精英的国际教育转向全球全民学习,从西方范式转向全球平等概念。

乡村振兴视角下民族村落文化多态传承研究——基于川南散杂居地区民族村落的实地调查

散杂居地区民族村落文化多态传承是指借助散杂居地区民族的特色,从民族村落文化的多样性、差异性出发,根据不同情况探索多样化的具体传承形态。调研发现,王武寨村传承主体的主体性不强,传承内容生活化程度不够,传承方式创新度不足,传承场域普及度不高。当前,激发传承人的主体性,唤醒多元主体文化自觉;倡导传承内容生活化理念,焕发民族文化传承生命力;促进传承方式创新性转变,有效传递民族文化精髓;优化传承场域的功能,提升公共文化空间普及度等,对川南散杂居地区民族村落文化多态传承及乡村文化振兴具有重要的实践价值。

六代苗族制笙家族传统技艺的田野考察与多重文化身份研究(上)——以滇东北次方言苗族王氏家族的芦笙制作为研究对象

滇东北次方言苗族民间艺人王杰锋的苗族传统芦笙制作技艺,入选第一批国家级非物质文化遗产项目。王氏家族的芦笙制作,到王杰锋之子王爱华这一辈人,已经传承了六代。王氏独到的簧片改良、牢固的树皮箍、自然衔接不漏气的穿管技术等,使其制作的芦笙得到了社会上的广泛认可。王氏以滇东北次方言苗语的六个声调为标准,以本支系的语言发音为参照而制作的传统六管芦笙,既传承了苗族人的传统文化,又满足了本支系的传统民俗仪式和日常生活需求。芦笙的制作并非易事,它要求制作者必须掌握相关的木匠、铁匠等各种技能,同时还要具备相关的语言、音律和文化等方面的知识,才能成为一名合格的芦笙制作者。王氏家族制作苗族芦笙的技艺受到苗族民众的尊重,他们制作的苗族芦笙也得到苗族民众的普遍认可。

基于集成深度学习的培养评估大数据分析与跟踪算法

针对传统就业情况问卷调查方法无法分析诸多变量间的复杂关系且严重依赖人工的问题,建立了一种基于集成深度学习ATE与APC的联合学习模型LCF-ATEPC。该模型集成了文本情感分析中局部上下文聚焦及BERT机制,同时通过文本方面项提取和情感极性分类两个子任务的交互,克服了常规模型中方面项提取任务精度不足的问题。数值实验结果表明,通过LCF-ATEPC算法挖掘社交媒体数据,并进行多方面话题情感分析,可有效提升分析结果的准确度,且相较传统人工评估与深度学习算法分别提升了约3.58%和1.12%,既提高了工作效率又降低了人力成本。