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Yingjia Huang

Publications and source records attributed to Yingjia Huang.

2 recordsLinked to original sources

Between Filters and Feeds: Investigating Douyin and WeChat's Influence on Chinese Adolescent Body Image

In the digital era, social media platforms play a pivotal role in shaping adolescents' body image perceptions. This study examines how Douyin and WeChat, two contrasting Chinese social media platforms, influence body image among Chinese male adolescents. Employing a platformization perspective, we surveyed 395 male adolescents aged 10 to 24 using the Multidimensional Body-Self Relations Questionnaire-Appearance Scales (MBSRQ-AS) to assess self-evaluation and body satisfaction. Our findings reveal that Douyin usage is significantly correlated with appearance evaluation and body area satisfaction, while WeChat usage shows no significant correlation with any body image dimensions. These results suggest that Douyin's algorithm-driven, video-centric environment intensifies exposure to idealized body standards, impacting users at a cognitive level. This study underscores the importance of considering platform-specific characteristics in understanding social media's impact on body image. It contributes to the broader discourse on how technological design and content modalities mediate psychological outcomes, offering insights for addressing body image concerns among male adolescents in China.

cs.HC

Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul

The limited fronthaul capacity is known to be one of the main problems in cloud radio access networks (CRANs), especially in the wireless fronthaul links. In this paper, we consider the uplink of a CRAN system, where massive multiple-input multiple-output (MIMO) is utilized in the fronthaul link. Considering multi-antenna user equipment (UEs) and multi-antenna remote radio heads (RRHs), we maximize the system sum-rate by jointly optimizing the precoders at the UEs and the quantization noise covariance matrices and transmit powers at the RRHs. To solve the resulting nonconvex problem, an iterative algorithm based on the majorization-minimization (MM) method is proposed. Two schemes at the central unit are considered, namely maximum ratio (MR) and zero-forcing (ZF) combining. Numerical results show that the sum-rate has an asymptotic behaviour with respect to the maximum available power at RRHs and that the MR scheme goes to its asymptote faster than the ZF scheme.

cs.IT