Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：作为喜好拟人化动物角色的亚文化群体,"兽迷"在微博中的头像以"兽"的动漫形象为主,其自我呈现具有微博控、二次元、远离时尚、专一性、个体化等特点。隐私、审美、家庭与亲属、意见领袖、年龄是影响兽迷微博自我呈现的五大因素。未来的兽迷群体将向成熟化演变,东方化和本土化特征愈发明显。通过微博等社交媒体传播兽迷文化,需要正确区分"兽的世界"与现实世界,防止信息茧房,建立兽迷作品分级制度。
Subjects: Management Science >> Enterprise Management submitted time 2022-11-26
Abstract：
The digital divide focuses on the acquisition, use and results of digital media. It is an interdisciplinary research involving communication, sociology, psychology, economics, education and other disciplines. Under the influence of the COVID-19, the discussion on the digital divide has once again set off an upsurge. The digital divide has become one of the problems that need to be solved urgently worldwide. Firstly, the paper systematically reviews and combs the evolution process and research progress of the concept of digital divide from the three levels of access, use and benefit of the Internet; secondly, it focuses on the impact of the COVID-19 epidemic on the digital divide and its specific manifestations in urban and rural differences, online education, online medical care, etc; Finally, combined with the dynamic evolution characteristics of the digital divide, this paper analyzes the new dimensions of digital inequality in the era of big data from three perspectives: algorithm knowledge, digital labor and digital exploitation, and personal information protection. Through the research, it points out the future development direction and research focus of digital inequality research in theory, which has a certain role in promoting the theoretical exploration in the field of digital divide, and provides ideas and reference for solving practical problems in the digital divide.
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem of long time-consuming and high equipment energy consumption for task scheduling in mobile cloud computing environment, a task scheduling strategy based on improved bird group algorithm is proposed, a task scheduling strategy based on Improved Bird Swarm Algorithm (IBSA) is proposed. Firstly, a mobile cloud task scheduling model based on energy consumption and time is constructed. Secondly, adaptive sensing coefficients and social coefficients are proposed to prevent the algorithm from falling into a local optimum. Learning factors are optimized to optimize flight behavior and ensure that Superior ability. Finally, . the task scheduling objective function is used as the fitness function of the bird group to participate in the iterative updating of the algorithm. The simulation results show that the algorithm has good effects in mobile cloud computing task scheduling compared with ant colony algorithm, particle swarm algorithm, whale algorithm and bird swarm algorithm, which can effectively save time and reduce energy consumption.
Subjects: Environmental Sciences, Resource Sciences >> Basic Disciplines of Environmental Science and Technology submitted time 2020-07-02 Cooperative journals: 《干旱区研究》
Abstract：利用中亚地区65个气象站的逐日最高气温数据，结合ERA-Interim再分析资料以及经纬度、海拔数据，构建了随机森林插值模型，并验证了其可靠性。基于该模型补全了气象站缺失值，获得完整的站点逐日最高气温数据集TStation_f，并插值得到中亚1979—2016年空间分辨率为0.75°×0.75°的逐日最高气温格点数据集TRFIM_G。基于TRFIM_G进一步分析了中亚1979—2016年夏季极端高温指数时空变化特征。结果表明：中亚区域平均极端高温指数增速在0.22—0.30℃·(10a)-1，显著增温的区域主要分布在哈萨克斯坦的西部、土库曼斯坦大部、乌兹别克斯坦东南部等地区。基于TRFIM_G得到的夏季极端高温指数增速显著大于基于TStation_f得到的结果，这表明用站点观测数据对该地区夏季极端高温趋势的估计明显偏低。本研究得到的数据集可在一定程度上弥补使用站点观测数据片面刻画中亚地区极端高温变化的缺陷，有助于更确切地引导人们在应对极端天气气候事件时采取相应的减缓和适应措施。
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