Biao Ma

Dec 19, 2024 | mdpi.com | Biao Ma

1. IntroductionWith the rapid development of mobile Internet, big data, and the enhancement of consumer awareness, user needs exhibit characteristics of timeliness and complexity [1]. However, product development cycles are often lengthy and cannot keep pace with the dynamically changing user needs in real time, thus failing to make corresponding adjustments during the development phase [2].

Nov 5, 2024 | onlinelibrary.wiley.com | Biao Ma |Jun Li |Shouxin Cui |Wenxia Feng

Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.

Sep 6, 2024 | scirp.org | Qian Wang |Biao Ma

BERTopic: A topic model based on the BERT pre-trained model, using SentenceBERT for clustering and c-TF-IDF for topic representation. BTM: One of the classic topic models for short text. It is based on bi-term co-occurrence patterns and has stable performance. The number of iterations is set to 50, alpha to 0.1, and beta to 0.01. LDA: The most widely used topic model.

Sep 3, 2024 | onlinelibrary.wiley.com | Biao Ma |Chao Peng |Le Yu

REFERENCES , , & (2023) Cover crops, crop insurance losses, and resilience to extreme weather events. American Journal of Agricultural Economics, 106, 1410–1434. , , & (2014) Spatial pattern of yield distributions: implications for crop insurance. American Journal of Agricultural Economics, 96(1), 253–268. , , , , , et al. (2021) A scoping review of the development resilience literature: theory, methods and evidence. World Development, 146, 105612.

Jun 20, 2024 | mdpi.com | Biao Ma |Xiaobo Chen |Changsong Zheng |Liang Yu

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