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Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

China Telecom has launched a high-efficient and collaborative wide-area big data architecture system, the cloud edge computing big data platform, for large-scale governmental and enterprise organizations spanning multiple geographies and clusters. The platform logically abstracts data partitions through the cluster dimension, integrates multiple independent datasets into a "virtual dataset", and achieves many-to-one dataset mapping management. At the same time, the computing load dataset of the platform has generalized characteristics, which can flexibly cope with the data processing requirements in different scenarios. In addition, the platform also supports a variety of computing engines and scheduling systems using relational expressions as intermediate representations to achieve batch tasks for large-scale, complex data processing in highly fault-tolerant scenarios. At present, the cloud edge computing big data platform has been applied in a variety of application scenes. The platform has improved efficiency by 17% in 5G Core capacity scheduling subsystem (5GC) multi-centre big data job development and operation, and has achieved the collaborative scheduling of a total of 42 PB of storage, 84 TB of memory, and 24 984 VCore computing resources, with a daily average of 80 308 times of task scheduling between the front cluster and the core cluster.

Copyright of Electric Power is the property of Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As the global food safety problem has increasingly become severe and supply chain reforms and food recalls are costly and challenging, it is particularly important to establish agricultural food traceability systems. Countries around the world are paying increasing attention to developing food safety traceability systems. Under the background of smart agriculture, information and communication technology can be further improved through blockchain infrastructure to achieve new farms and digital agriculture, thus ensuring end-to-end safety traceability of agricultural products from planting to sale. Through the analysis of the latest domestic and international research, this paper systematically elaborates on recent progress in research on agricultural food traceability based on blockchain technology. It dissects the processes of agricultural food supply chains, and proposes a basic architecture of blockchain in the field of agricultural food traceability. In addition, this paper summarizes the application of blockchain in agricultural food traceability, focusing mainly on blockchain combination with cloud-edge computing, encryption technology, storage optimization, consensus mechanism improvement, and smart contract design. It also points out the challenges in data security, storage scalability, regulatory difficulties, and practical applications. Finally, it proposes future direction for blockchain technology in agricultural food traceability such as strengthening security supervision, improving blockchain scalability, and empowering food traceability with emerging technologies. It emphasizes the opportunities and challenges in the application of blockchain technology in the agricultural food supply chains.

Copyright of Cotton Textile Technology is the property of Cotton Textile Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Southeast University / Dongnan Daxue Xuebao is the property of Journal of Southeast University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)