Yuxin Du

2 weeks ago | nature.com | Yirui Chen |Xinrui Zhan |Xueying Yan |Yuxin Du |Tieniu Zhao |Wencan Yang

The rapid growth of the healthcare industry in China has led to a significant talent gap, particularly in the areas of digital skills and management expertise. This study aims to bridge this gap by analyzing healthcare job listings using natural language processing (NLP) techniques to identify specific skills and management capabilities in high demand. We collected 58,732 healthcare job listings from eight major recruitment websites in China, focusing on positions requiring a bachelor’s degree or higher and posted within the last year. To extract relevant information from job descriptions, including required skills, qualifications, and roles, we employed an AI agent based on the latest ChatGPT model. The model was fine-tuned using advanced Prompt-Tuning techniques to adapt it to the specific context of healthcare job listings. This involved designing task-specific prompts, preprocessing the data to remove duplicates and normalize text, and training the model using the Hugging Face Transformers library. The analysis revealed a strong demand for technical skills such as data analysis, AI and machine learning, and technology integration. Compliance and data privacy skills were also highly demanded, reflecting the healthcare sector’s commitment to regulatory adherence and data security. Additionally, management and leadership skills were identified as critical. Regional disparities were observed, with higher demand for digital skills in urban areas such as Beijing and Shanghai compared to rural regions. Emerging roles such as “digital health strategist” and “chief data officer” were also identified, highlighting the need for interdisciplinary collaboration and innovation. This study provides valuable insights into the current and future talent demands in the healthcare industry. By leveraging NLP techniques to analyze job listings, we can identify specific skill gaps and develop targeted strategies for talent development and recruitment. This research contributes to the understanding of the healthcare talent gap and offers practical recommendations for policymakers, healthcare providers, and educational institutions to ensure a sustainable and skilled workforce in the healthcare sector. Future research should explore additional data sources and qualitative methods to gain a more comprehensive understanding of healthcare talent needs globally.

Jan 19, 2025 | dx.doi.org | Yuxin Du |Yifei Li |Cong Li |Ran Xu

Jan 19, 2025 | pubs.acs.org | Yuxin Du |Yifei Li |Cong Li |Ran Xu

Sep 5, 2024 | link.aps.org | Guang Yang |Yuxin Du |Haoyong Suo |Manfu Li

Recently, a novel class of 2D carbon material, covalent-bond-linked monolayer C60 networks with quasihexagonal phase (qHP-C60) was experimentally fabricated [Hou et al., Nature (London) 606, 507 (2022)].

Sep 19, 2023 | ieeexplore.ieee.org | Yuxin Du |He Zhang |Jianhua Zhang

According to the “Global Energy Data” published by the International Energy Agency, global coal production experienced a strong rebound of 6% in 2021 and a marginal increase of 0.9% in 2022, after a decline of 5.3% in 2020 due to the impact of Covid-19, which continues to supply approximately a quarter of the world’s primary energy and over a third of its electricity [1].