PHIL
发表于 2025-3-26 22:32:01
Labor Markets, Gender, and Social Stratification, turns out to be difficult to resolve. This is the question of how far we can understand gender inequalities in modern times mainly within the framework of class divisions” (Giddens 2009, 460). What we need to understand, therefore, is how class-based inequality interacts with gender differentiation.
defibrillator
发表于 2025-3-27 03:39:10
Urban New Poverty from a Gender Perspective,g poverty were often overlooked, which to some extent limited the analysis of new poverty in Chinese cities. This chapter aims to uncover the gender aspects of new poverty in order to highlight the link between immiseration and gender.
法律的瑕疵
发表于 2025-3-27 07:57:06
Son Preference and the Tradition of Patriarchy in Rural China,nservative thoughts and conventional customs. What is frequently overlooked is the deep-seated interplay between conservative thoughts, family traditions, the collective life of rural communities, and public administration.
finale
发表于 2025-3-27 11:06:13
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祖先
发表于 2025-3-27 14:45:28
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CUR
发表于 2025-3-27 21:04:30
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omnibus
发表于 2025-3-27 23:19:24
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神刊
发表于 2025-3-28 04:43:52
Song Shaopengctively reduce the cost of electricity and the excess consumption under the huge electricity. In order to achieve energy saving and energy requires, the development of energy monitoring systems to obtain information related to consumption is necessary. Accordingly, this work proposes a cloud green e
敲诈
发表于 2025-3-28 09:47:32
Tong Xinof mobile cloud computing (MCC) was proposed for offloading the massive computation tasks of mobile applications onto cloud centers for execution. However, the computational power of mobile devices recently has received a great promotion, and the bandwidth and reliability of wireless networks has be
phase-2-enzyme
发表于 2025-3-28 10:37:20
Guo Huimin,Li Xiangrely on a large number of independent identically distributed samples. However, the complexity and variability of coal-rock deposit states make the dataset exhibit small sample characteristics, resulting in poor performance of deep learning model. To address this problem, this paper proposes a frame