| 1 | Research on Real-Time High Reliable Network File Distribution Technology显示文摘The rapid development of Internet of Things(IoT)technology has made previously unavailable data available,and applications can take advantage of device data for people to visualize,explore,and build complex analyses.As the size of the network and the number of network users continue to increase,network requests tend to aggregate on a small number of network resources,which results in uneven load on network requests.Real-time,highly reliable network file distribution technology is of great importance in the Internet of Things.This paper studies real-time and highly reliable file distribution technology for large-scale networks.In response to this topic,this paper studies the current file distribution technology,proposes a file distribution model,and proposes a corresponding load balancing method based on the file distribution model.Experiments show that the system has achieved real-time and high reliability of network transmission. | Chenglong Li Peipeng Liu Hewei Yu Mengmeng Ge Xiangzhan Yu Yi Xin Yuhang Wang Dongyu Zhang | 2020 | Computers, Materials & Continua2020，，11： | 0 |
| 2 | Applications of digital Medicine in oncology: Prospects and challenges显示文摘The current state of oncology medical services is not encouraging and is unable to fully meet the needs of patients with cancer.In recent years,rapidly developing artificial intelligence technology and gradual advancements in mobile phones,sensors,and wearable devices,which have made these more compact,affordable,and popular,have greatly expanded the development of digital medicine.Digital medicine refers to clinical evidence-based technology and products with a direct impact on disease management and research.Integrating digital medicine into clinical practice has the advantages of broader applicability,greater cost-effectiveness,better accessibility,and improved diagnostic and therapeutic performance.Digital medicine has emerged in different clinical application scenarios,including cancer prevention,screening,diagnosis,and treatment,as well as clinical trials.Additionally,big data generated from digital medicine can be used to improve levels of clinical diagnosis and treatment.However,digital medicine also faces many challenges,including security regulation and privacy protection,product usability,data management,and optimization of algorithms.In summary,the application and development of digital medicine in the field of cancer face numerous opportunities and challenges. | Hewei Ge Lixi Li Di Zhang Fei Ma | 2022 | Cancer Innovation2022，1，4： | 0 |
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