Results 171 to 180 of about 2,044,246 (250)

How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory

International Journal of Finance &Economics, EarlyView.
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley   +1 more source

UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming. [PDF]

Sci Rep
Rajendiran G, Rethnaraj J, Zade S, Guttula R, Pandey KK.   +4 more
europepmc   +1 more source

Sustainability Incentives and Value Creation in Corporate Acquisitions

International Journal of Finance &Economics, EarlyView.
ABSTRACT Using an extended international sample of domestic and cross‐border mergers and acquisitions (M&A), this paper provides the first comprehensive examination of the role of ESG‐linked executive compensation in the market for corporate control.
Athanasios Tsekeris
wiley   +1 more source

Seeing Beyond RGB Capabilities: Data-Driven and Physics-Guided Broadband Spectral Extrapolation of Plasmonic Nanostructures by Deep Learning. [PDF]

ACS Photonics
Kazemzadeh M, Zhang B, He T, Liu H, Jiang Z, Hu Z, Dong X, Sun C, Jiang W, He X, Li S, Álvarez-Pérez G, Pisanello F, Hu H, Chen W, Xu H.   +15 more
europepmc   +1 more source

Inefficient Frontiers: Industry‐Specific Anomalies in Frontier Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this study we identify low‐risk anomalies affiliated with industry in frontier markets, offering valuable insights for fund managers and investors managing an internationally diversified portfolio. Utilising a two‐beta model—incorporating both market and industry betas—we reveal a distinct low‐beta anomaly with a monthly magnitude of 2.13 ...
Alya Hourani, Frank Mcgroarty, Sercan Demiralay, Yan Wang   +3 more
wiley   +1 more source

Tree-based machine learning methods for predicting vehicle insurance claim size. [PDF]

Front Big Data
Terefe EM, Aga MA.
europepmc   +1 more source

Multi‐omics–driven precision medicine

iMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li, Zhe Zhao, Yifan Zhang, Yao Ma, Gaofei Hu, Min Zeng, Zhanqun Yang, Zixuan Zhao, Xin Zhou, Wei Hu, Yuxuan Sun, Meng Su, Jun Li, Matthew Whiteman, Wei Fu, Chao Zhong, Lemin Zheng, Long Chen, Hairong Lv, Rongsheng Zhao, Yi Zhun Zhu   +20 more
wiley   +1 more source

Expanding Waste Segregation Initiatives to Reduce Regulated Medical Waste: A Multi-Departmental Quality Improvement Project. [PDF]

HCA Healthc J Med
Su EM, Sarode AL, Sami M, Nehring DR, Laipply EL, Culcuoglu M.   +5 more
europepmc   +1 more source

Developmental Trajectories and Prospective Associations Between Life Satisfaction and Perceived Parental Autonomy Support During Adolescence

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Perceived parental autonomy support (PAS) and life satisfaction (LS) may change during adolescence, yet longitudinal studies have typically examined prospective associations and developmental trajectories in separate models. This study examined how these constructs changed and were linked throughout secondary school in South Korea.
Boseok Kim, Yuri Jeong
wiley   +1 more source

Synthetic Regressing Control. [PDF]

Obs Stud
Zhu R.
europepmc   +1 more source