Results 201 to 210 of about 177,864 (288)

A short text entity disambiguation method based on BERT model and shortest path algorithm. [PDF]

Sci Rep
Liu X, Zhang D, Xiao T, Mou S, Du J, Zhao R, Li W, Liu W, Zhan Y.   +8 more
europepmc   +1 more source

Breadth at the Helm: Generalist CEOs and Corporate ESG Performance‐Evidence From China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Drawing on the Upper Echelons Theory and the Imprinting Theory, this study conjectures that generalist CEOs may have a stronger tendency to pursue environmental, social and governance (ESG) goals. We perform multiple regression analyses with observations of Shanghai and Shenzhen A‐share listed companies from 2010 to 2023 in order to explore ...
Shanmei Luo, Chaofan Jin, Hongling Han, You Zhang, Yuqi Li   +4 more
wiley   +1 more source

Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress Notes. [PDF]

Transl Vis Sci Technol
Majid I, Ruan FY, Wang SY.
europepmc   +1 more source

Do CSR Efforts Reduce Environmental Decoupling: Evidence From S&P 500 Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates the impact of Corporate Social Responsibility (CSR) committees and CSR‐focused employee training on environmental decoupling. Using panel data of 2489 firm‐year observations from S&P 500 firms between 2009 and 2022, we employ fixed‐effects models to examine how CSR governance mechanisms influence the alignment between ...
Burcu Gürol, Yan Wang, Gerçek Özparlak   +2 more
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Bangla MedER: Multi-BERT ensemble approach for the recognition of Bangla medical entity. [PDF]

PLoS One
Aurpa TT, Akter F, Hasan MM, Ahmed S, Rafiq SA, Khan F, Sheikh R.   +6 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Improving few-shot named entity recognition for large language models using structured dynamic prompting with retrieval augmented generation. [PDF]

NPJ Artif Intell
Ge Y, Guo Y, Das S, Sarker A.
europepmc   +1 more source

Unveiling spatial heterogeneity in urban underground space development patterns and mechanisms for differentiated planning: A points of interest‐based study of Shanghai

Deep Underground Science and Engineering, EarlyView.
This study investigated the spatial patterns and development mechanisms of urban underground space (UUS) in Shanghai using underground points of interest data. It revealed distinct development mechanisms between the main city and suburbs, highlighting the need for differentiated UUS planning and policies to optimize underground space resources ...
Chenxiao Ma, Fangle Peng, Yongkang Qiao, Yunhao Dong   +3 more
wiley   +1 more source

Transparent AI for mathematics: transformer-based large language models for mathematical entity relationship extraction with XAI. [PDF]

Sci Rep
Aurpa TT.
europepmc   +1 more source