Investigation and analysis of the status of cancer health popularization in China,2023

BACKGROUND Cancer presents a significant public health challenge in China,necessitating broad collaboration across society.The Chinese government has articulated a goal to increase the overall five-year survival rate for cancer by 15%by 2030.Achieving this objective requires not only advances in medical technology,but also an im-provement in the dissemination of knowledge pertaining to cancer prevention and treatment.AIM To provide a comprehensive understanding of the status of cancer prevention and level of popularization in China in 2023.METHODS From January 2023 to May 2023,online questionnaires were distributed to 3000 participants,including medical personnel,patients with cancer,their families,and the general public.There were 2711 valid responses,covering the entire nation.RESULTS A total of 1020 medical personnel and 1691 patients with cancer,their family members,and the general public participated in the survey.Among medical personnel,93.2%had popularized cancer health.Commonly addressed topics included cancer prevention(85.9%)and cancer screening(77.8%).Primary challenges included time constraints(73.9%),insufficient personnel and material support(66.7%),and uncertainty as to where to begin(49.3%).Among patients with cancer,their family members,and the general public,93.4%reported reading or watching cancer science popularization materials and 56.9%expressed a desire for deeper understanding.The most sought-after topics in cancer science popularization included cancer screening(80.2%)and cancer prevention(75.8%).The greatest challenge encountered in accessing cancer health popularization was an abundance of misinformation(67.5%).CONCLUSION Most clinical doctors,patients,family,and the general public wish to participate in cancer education.However,improvement in the quality of content in cancer prevention and treatment education is required.

National Medical Products Administration Releasing Popular Science Article about Using Sunscreen“Spray”Cosmetics Safely

On Apr.15th,2024,National Medical Products Administration released a popular science article about using sunscreen“spray”cosmetics safely,reminding consumers to care about how to use sunscreen“spray”cosmetics correctly.According to the article,common sunscreen“spray”in the market can be divided into spray type and aerosol type,and incorrect use of them will cause the risk of inhalation or flammability.To use sunscreen“spray”cosmetics correctly,one should try to avoid inhaling“spray”;put the sunscreen“spray”in a cool,dry and ventilated environment not exposed to direct sunlight,and avoid using them on wounds,redness&swelling,eczema or other abnormal places of the skin.

The Research on the Paths of Popular Science Education about Myopia Prevention and Control among College Students in the Context of Shifting the Focus Forward

Currently, the number of myopic people in China has reached as high as 600 million, and it shows a trend of “early onset, high incidence, and a high degree of severity”. The issue of myopia among children and adolescents has attracted widespread attention from all sectors of society. Comprehensive myopia prevention and control efforts have been launched nationwide. Popular science education, vision screening, and improving visual environments are effective measures for preventing myopia. However, among the target audience for comprehensive myopia prevention and control, the preschool children group has been neglected, and the work of myopia prevention and control for this group has been significantly weakened and marginalized. Due to insufficient awareness of prevention and control, the hyperopia reserve in the preschool children group is being continuously depleted, leading to the early onset of myopia. In light of this situation, the focus of myopia prevention and control needs to shift forward, and it is worth exploring and pondering how college students with a background in optometry can develop entertaining and engaging popular science education materials and methods.

Popularity Prediction of Social Media Post Using Tensor Factorization

The traditional method of doing business has been disrupted by socialmedia. In order to develop the enterprise, it is essential to forecast the level ofinteraction that a new post would receive from social media users. It is possiblefor the user’s interest in any one social media post to be impacted by external factors or to dwindle as a result of changes in his behaviour. The popularity detectionstrategies that are user-based or population-based are unable to keep up with theseshifts, which leads to inaccurate forecasts. This work makes a prediction abouthow popular the post will be and addresses any anomalies caused by factors outside of the study. A novel improved PARAFAC (A-PARAFAC) method that istensor factorization-based has been presented in order to cope with the user criteria that will be used in the future to rate any project. We consolidated the information on the historically popular content, and we accelerated the computation bychoosing the top contents that were most like each other. The tensor is factorisedwith the application of the Adam optimization. It has been modified such that thebias is now included in the gradient function of A-PARAFAC, and the value ofthe bias is updated after each iteration. The prediction accuracy is improved by32.25% with this strategy compared to other state of the art methods.

Drumming the Future： Vietnamese Drumming as a Bridge Between Tradition and Popular Entertainment

The fascination of Vietnamese with drums and drumming reaches back into the pre-historic when bronze drums （Dong Son）, from the Red River Delta region of Vietnam＇s north, were prized trading commodities throughout the Asian world of that time. Now in the 21st century the Dong Son and other historically renowned drum types have become symbols for Vietnam＇s emergence into an international cultural and economic arena. This paper charts three Vietnamese international events that illustrate the emblematic use of traditional drumming as a nationalistic symbol of modern Vietnam： The Third Asian Indoor Games held in Hanoi in 2009 opened with a drumming spectacle using battle drums; the Jubilee celebrations of the Vietnamese Catholic Church in 2010, opened in the north in the Ha Nam province with an immense traditional drumming performance within its religious setting; the 2012 Hue International Arts Festival incorporated ＂Resounding the Vietnamese Spirit＂, a specific drums and percussion festival, with performances using Binh Dinh war drums, royal drums from Hue, Dong Son drums, and Tay Son battle drums. These displays of traditional drumming it is argued have popularised particular nationalistic styles of drumming amongst Vietnamese youth, extending from the use of drumming in lion dance performances to the emergence of small, youth drumming groups who perform in the streets of Hanoi and Ho Chi Minh City

Predicting the Popularity of Online News Based on the Dynamic Fusion of Multiple Features

Predicting the popularity of online news is essential for news providers and recommendation systems.Time series,content and meta-feature are important features in news popularity prediction.However,there is a lack of exploration of how to integrate them effectively into a deep learning model and how effective and valuable they are to the model’s performance.This work proposes a novel deep learning model named Multiple Features Dynamic Fusion(MFDF)for news popularity prediction.For modeling time series,long short-term memory networks and attention-based convolution neural networks are used to capture long-term trends and short-term fluctuations of online news popularity.The typical convolution neural network gets headline semantic representation for modeling news headlines.In addition,a hierarchical attention network is exploited to extract news content semantic representation while using the latent Dirichlet allocation model to get the subject distribution of news as a semantic supplement.A factorization machine is employed to model the interaction relationship between metafeatures.Considering the role of these features at different stages,the proposed model exploits a time-based attention fusion layer to fuse multiple features dynamically.During the training phase,thiswork designs a loss function based on Newton’s cooling law to train the model better.Extensive experiments on the real-world dataset from Toutiao confirm the effectiveness of the dynamic fusion of multiple features and demonstrate significant performance improvements over state-of-the-art news prediction techniques.

El Salvador Cane Sugar and Coffee Become Popular in China

El Salvador established diplomatic relationship with China in 2018,opening a new chapter in the history of bilateral relations.Since the establishment of the diplomatic relationship,bilateral relations have been growing steadily,with frequent reciprocal visits of high-ranking officials between the two countries.The cooperation has achieved fruitful results in the realms of politics,trade,the economy and cultural humanities.

China’s Electric Vehicles Are Popular in Southeast Asia

In recent years,Chinese auto companies have frequently expanded their businesses in Southeast Asian markets such as Indonesia,Vietnam,Thailand,and Malaysia,relying on their first-mover advantages in the new energy sector.Many of their vehicle models have become highly popular among local people.

Planning and Design of Geological Landscape Popular Science Exhibition in Urban Geopark:A Case Study of Zhengzhou Yellow River National Geopark

Urban geopark is the backyard garden of urban residents’life.Geological landscape popular science exhibition enables people to receive geological popular science knowledge easily and happily while playing,which will virtually strengthen people’s protection awareness of urban geological landscape.Urban geopark landscape is featured by unique typical geological characteristics.It is a realistic problem that troubles the planning and design of geological landscape popular science exhibition in urban geopark by effectively protecting these geological landscapes and upgrading them into urban popular science leisure tourism resources.Taking Zhengzhou Yellow River National Geopark as an example,this paper systematically studies the planning and design of geological landscape popular science exhibition in urban geopark.

Content Popularity Prediction via Federated Learning in Cache-Enabled Wireless Networks

With the rapid development of networks,users are increasingly seeking richer and high-quality content experience,and there is an urgent need to develop efficient content caching strategies to improve the content distribution efficiency of caching.Therefore,it will be an effective solution to combine content popularity prediction based on machine learning(ML)and content caching to enable the network to predict and analyze popular content.However,the data sets which contain users’private data cause the risk of privacy leakage.In this paper,to address this challenge,we propose a privacy-preserving algorithm based on federated learning(FL)and long short-term memory(LSTM),which is referred to as FL-LSTM,to predict content popularity.Simulation results demonstrate that the performance of the proposed algorithm is close to the centralized LSTM and better than other benchmark algorithms in terms of privacy protection.Meanwhile,the caching policy in this paper raises about 14.3%of the content hit rate.

Chinese Outbound Tour Groups Enjoying Popularity in Singapore

The arrival of the Chinese tour group in Singapore with the sincere friendship between China and Singapore after the outbreak of COVID-19 marked the comprehensive recovery of people-to-people and cultural exchanges between the two countries and the new start of China-Singapore cooperation after three years of development.

Analysis of Differences Between Popular Mobile Games in China and Japan From a Cross-Cultural Perspective: A Case Study of Genshin Impact and Uma Musume: Pretty Derby

Genshin Impact and Uma Musume:Pretty Derby are two of the hottest mobile games in China and Japan,respectively,in the past two years,both of which have gained enormous popularity and revenue in their home countries.This paper focuses on the cross-cultural perspective,and analyzes the differences between the two games and their reasons for their popularity from three aspects:character design,cultural background,and game genre.

Critical Dialogic Accounting and Accountability Through Integrated Popular Reporting and Digital Technologies: The City of Bari

Over the past two decades,dialogic accounting research has evolved into a distinct field,expanding into what is now recognized as critical dialogic accounting and accountability(CDAA).The integration of critical dialogic accounting and accountability acknowledges the growing need to recognize diverse pathways within accounting practices,emphasizing the representation of marginalized perspectives,engagement with power dynamics,and the analysis of conflicts,particularly in the context of societal and environmental impacts.Based on these assumptions,the Integrated Popular Reporting(IPR)is intended as a useful practical dialogic tool designed to impartially represent the viewpoints of different stakeholders.The focus extends beyond traditional dialogic accounting,integrating a newer critical lens that explores the implications of digital technology in the reporting process.To explore these advancements,the study investigates the implementation of the City of Bari’s 2020 Integrated Popular Reporting.Leveraging tools such as Talkwalker and employing a longitudinal,interventionist approach along with semi-structured interviews,the study assesses the effects of digital technologies on the dialogic accounting process.The analysis shows that the use of digital technologies has facilitated a more participatory reporting structure,evident in increased citizen engagement and reduced bureaucratic hurdles.Notably,it has enhanced the accuracy of defining citizens’informational needs and addressed pertinent themes ranging from mobility,economy,digitization,regeneration,and employment.Moreover,it underscores the need to address the digital divide and ensure inclusivity across diverse demographics.Ultimately,it contributes to the ongoing discourse on the role of technology in shaping the future of dialogic accounting and its broader implications for societal accountability.

Growing by Leaps and Bounds Chinese wushu have gained more popularity and broader adoption in Africa

Wushu,or Chinese martial arts,is set to make its Olympic debut in the Youth Olympic Games 2026 in Dakar,the first Olympic competition to be staged in Africa.Wushu,which featured at the All-Africa Youth Games in 2018,has gone through a tortuous process in being accepted as an Olympic sport event.The International Wushu Federation(IWUF)first submitted applications for inclusion to the International Olympic Committee in 2001,followed by two more failed bids in 2008 and 2011.Finally,it tasted success in Africa,which is also a testament to its popularity in the continent.

The Belt and Road Partner Countries Becoming Popular Tourist Attractions for Outbound Travel

Tourism is one of the important areas of the Belt and Road exchange and cooperation.Since China proposed the Belt and Road Initiative(BRI)in 2013,the tourism exchanges between BRI partner countries have been close and the cooperation has achieved remarkable results.With the accelerated recovery of China's outbound travel market this year,BRI partner countries are becoming popular destinations for Chinese tourists.

Popularising Science

Ethiopia opens state-of-the-art science museum to promote technology and innovation Ethiopia has inaugurated Africa’s first ever multipurpose science museum in the capital Addis Ababa,with an aim of creating a centre of excellence for innovation.The Chinese government-aided state-of-the-art science museum,the Ethiopia Museum of Art and Science,is part of the country’s digital transformation and development endeavours.

命名数据网络中基于分级的数据缓存方法

针对NDN固有数据缓存机制存在数据内容多样性低、频繁替换等问题,提出了一种数据分级缓存方法.该方法将传输路径上的路由器进行等级划分,根据数据内容热度,将其缓存在相应等级的路由器中,以减少用户获取数据内容的时间.实验结果表明:该方法能够有效提高缓存命中率,减少平均路由跳数,降低平均请求时延.

传名与传情:通俗小说征引作者诗集谫论

通俗小说征引作者诗集的现象较为奇特,以前学界关注较少。这一现象与小说家借诗词传名、传情有关,诗词传名是作者朴素思想的呈现,其主要原因是诗文集出版难而小说出版容易;诗词传情体现了小说家主体意识的介入,表现为将自身经历点缀于小说之中,带有自况性质甚至实录性质。该现象的小说史意义有三:明清越来越多有名望的文人关注并创作通俗小说;通俗小说题材多样化催生了通俗小说征引作者诗集的现象,同时文学风气与作家观念又制约了这一现象的发展;小说文体地位提升促进传统观念转变,出现了诗文集收录小说诗词的现象。

Video caching and scheduling with edge cooperation

In this paper,we explore a distributed collaborative caching and computing model to support the distribution of adaptive bit rate video streaming.The aim is to reduce the average initial buffer delay and improve the quality of user experience.Considering the difference between global and local video popularities and the time-varying characteristics of video popularity,a two-stage caching scheme is proposed to push popular videos closer to users and minimize the average initial buffer delay.Based on both long-term content popularity and short-term content popularity,the proposed caching solution is decouple into the proactive cache stage and the cache update stage.In the proactive cache stage,we develop a proactive cache placement algorithm that can be executed in an off-peak period.In the cache update stage,we propose a reactive cache update algorithm to update the existing cache policy to minimize the buffer delay.Simulation results verify that the proposed caching algorithms can reduce the initial buffer delay efficiently.

User Preference Aware Hierarchical Edge-User Cooperative Caching Strategy

The emergence of various new services has posed a huge challenge to the existing network architecture.To improve the network delay and backhaul pressure,caching popular contents at the edge of network has been considered as a feasible scheme.However,how to efficiently utilize the limited caching resources to cache diverse contents has been confirmed as a tough problem in the past decade.In this paper,considering the time-varying user requests and the heterogeneous content sizes,a user preference aware hierarchical cooperative caching strategy in edge-user caching architecture is proposed.We divide the caching strategy into three phases,that is,the content placement,the content delivery and the content update.In the content placement phase,a cooperative content placement algorithm for local content popularity is designed to cache contents proactively.In the content delivery phase,a cooperative delivery algorithm is proposed to deliver the cached contents.In the content update phase,a content update algorithm is proposed according to the popularity of the contents.Finally,the proposed caching strategy is validated using the MovieLens dataset,and the results reveal that the proposed strategy improves the delay performance by at least 35.3%compared with the other three benchmark strategies.