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.

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.

Black Is the New Gold

As China’s blockbuster video game Black Myth:Wukong takes the world by storm,an American YouTuber has a role in its spreading popularity.AMERICAN YouTuber Andrew Sarran,a well-known figure on social media for his videos on mythology,has an eclectic taste.

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.

Science Put to the Test of Mysticism in the “Navetanes”

Mystical practices or “Xon” exist in virtually every sector of social life in Senegal. Popular or “navétane” football is particularly and profoundly affected by this phenomenon, to the point of raising questions about their place in this sport, which is naturally governed by scientific rules of performance. To provide an answer, we used qualitative methods, including participant observation and semi-structured interviews with 9 coaches and those in charge of the “xonjom”. The main results highlight the predominance of “Xon” over training. The players pay more attention to the mystics. The creation of a commission responsible for occult practices and the efforts made by the players to approach occultists and ensure that their instructions are respected attest to the importance of “xonjom”. As a result of the social anchoring provided by education, popular football is not spared from “xon”. More time is spent practising mysticism than training. They are seen as a source of victory, playing the role of psychological preparation. The centralisation of “xonjom” is reflected in the prioritisation of “xon” over training. The marabouts’ instructions take precedence over those of the trainers.

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.

基于双因素理论的公共卫生人员科普工作意愿及满意度分析

目的调查上海市公共卫生人员参与健康科普工作现状,分析科普工作满意度及影响因素,提出人员激励措施的改进建议,进一步提升公共卫生机构健康科普能力。方法对上海市医疗卫生机构中414名公共卫生从业人员进行问卷调查,对4家区疾病预防控制中心共计16人进行半结构式访谈,分析受调查者参与科普工作意愿以及对科普工作保障机制和激励措施的满意度。结果80.2%的受调查者表示参加过健康科普相关工作,89.9%表示未来愿意参加相关工作。372名有意愿从事健康科普工作的受调查者总体满意度得分为(3.83±0.96)分,满意度得分最低的3项是工作待遇(3.07±1.17)分、工作回报(3.50±1.17)分、工作环境/支持(3.56±0.79)分,管理与领导维度得分最高,为(4.14±0.86)分。不同年龄、不同职称级别人群总体满意度差异有统计学意义(P<0.05)。结论公共卫生人员参与健康科普工作总体满意度一般,公共卫生从业人员科普参与度有待提高。科普工作报酬收益和工作经费是制约公共卫生人员从事科普工作的主要因素。应建立以效果为导向的科普工作评价机制,重视不同年龄层人员的差异化激励措施。

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.

Preface to the special issue of Artificial Intelligence in Seismology

Seismology is a data-intensive and data-driven science.The rapid growth of seismometer density and data size calls for more efficient and effective processing tools.In recent years,artificial intelligence(AI)has been increasingly used in various areas of seismology.Among them,earthquake monitoring is likely the one most impacted(Kong QK et al.,2019;Mousavi and Beroza,2022).Popular seismic phase picking models and workflows like PhaseNet,EQTransformer,RISP,PALM,LOC-FLOW,QUAKE-FLOW(Zhu WQ and Beroza,2019;Mousavi et al.,2020;Liao SR et al.,2021;Zhou YJ et al.,2021;Zhang M et al.,2022;Zhu WQ et al.,2023)have been proposed and widely used.Also,AI algorithms for association(Ross et al.,2019;Yu ZY and Wang WT,2022),polarity determination and focal mechanism inversion(Ross et al.,2018;Zhang J et al.,2023;Li S et al.,2023),earthquake discrimination(Li ZF et al.,2018;Linville et al.,2019;Miao FJ et al.,2020)have emerged.

Origin of Traditional Chinese Medicine in Cuba in the 19th Century from Its Main Exponents and Some Notable Medical Descendants in the 20th Century

The Cuban people are made up of three major migratory currents, the Chinese are one of them. They brought their culture, the methods, and procedures of traditional Chinese medicine(TCM) in the 19th century. Few were able to return and so they created families in Cuba;some of their descendants dedicated themselves to medicine. In order to investigate the practices that were predecessors of TCM in Cuba in the 19th century, a qualitative phenomenological research was carried out, reviewing what was published by various sources, applying documentary analysis, logical historical analysis, abstraction, synthesis, and systematization of the results on the regularities of the work and human behavior of Chinese doctors in the Cuban 19th and 20th centuries. This made it possible to identify six Chinese doctors in the 19th century in Cuba who gave rise to the beginning of some practices of TCM in Cuba, and five from the 20th century, descendants of coolies who dedicated themselves to other specialties of medicine. It was found that despite their geographical and time disperse, they were all notorious for their outstanding professional and human behavior, with a trail of accumulated successes in achieving “almost the impossible” with the patient. They have left their mark on Cuban culture.

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.

上海实验动物科普志愿者服务队

为促进社会公众准确了解并科学认知实验动物科学,并不断普及科学知识、弘扬科学精神、传播科学思想、倡导科学方法、恪守科学道德,同时大力发扬志愿者精神,2017年6月,基于上海实验动物研究中心的专业优势,在该中心党总支的领导下,成立了上海实验动物科普志愿者服务队(Shanghai Laboratory Animal Popularization Volunteer Service Team,SLAP)(“上海志愿者网”团体ID 92332603,“中国科技志愿服务”组织编号20170606142850)。这是目前上海唯一一支、也是国内少数专门针对实验动物科学的专业化科普志愿服务团队之一。

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.

苯教因明学文献与研学制度评介

Logic in Bon Religion is one of the important elements in the Logic popular in Tibet.This article based on a discussion of the development of Logic and the important literatures of Bon Religion,the process of and time phases of studying Logic of Bon Religion,describes four important characteristics of Logic of Bon Religion.Namely,there are similarities and differences between the Logic of Buddhism and that of Bon Religion first of all.Secondly,Logic of Bon Religion bears an invaluable tradition of traditional Tibetan culture regardless from the perspective of Logic,Philosophy,the literary works conducted by the respective scholars.Thirdly,like the other sciences,the development of Logic of Bon Religion experienced a process of from uncomplete to completion,from an independent subject to a science with various disciplines.Fourthly,Logic of Bon Religion is an academic field with a strong validity.

上海实验动物科普志愿者服务队

为促进社会公众准确了解并科学认知实验动物科学,并不断普及科学知识、弘扬科学精神、传播科学思想、倡导科学方法、恪守科学道德,同时大力发扬志愿者精神,2017年6月,基于上海实验动物研究中心的专业优势,在该中心党总支的领导下,成立了上海实验动物科普志愿者服务队(Shanghai Laboratory Animal Popularization Volunteer Service Team,SLAP)(“上海志愿者网”团体ID:92332603)。这是目前上海唯一一支、也是国内少数专门针对实验动物科学的专业化科普志愿服务团队之一。

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.