Results 141 to 150 of about 665,576 (285)

Whose game is it anyway? Palworld and the new frontier of intellectual property in eSports. [PDF]

Front Sports Act Living
Vargas-Chaves I, Inoñán-Mujica Y, González-Herrera JM, Anacleto-Gómez JS.   +3 more
europepmc   +1 more source

A Leaf‐Inspired Janus‐Structured Triboelectric‐Moisture Hybrid Energy Harvester

Advanced Energy Materials, EarlyView.
This study proposes a bioinspired Janus structured energy‐leaf with hybrid triboelectric‐moisture hybrid energy harvesters. This hybrid energy harvester is demonstrated in an intelligent emergency system for effective distress signaling and evacuation guiding during potential crises.
Liang Wei, Rui Gu, Yixuan Fu, Ziwei Huo, Chao Liu, Jiahong Yang, Siqi Sun, Yang Liu, Qijun Sun, Dong‐Hwan Kim, Zhong Lin Wang   +10 more
wiley   +1 more source

Generative artificial intelligence in the publishing industry: adoption, use, intellectual property, and other challenges. [PDF]

Front Res Metr Anal
Giraldo-Barreto M.
europepmc   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source

Canadian copyright protections for neurodata: ethical and legal implications. [PDF]

J Law Biosci
Lavelle K, Magistro Nadler R, Gunning M, Reynolds GJ, Illes J.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

From lab to market: industrialization barriers and regulation optimization for new breeding technologies in China. [PDF]

GM Crops Food
Qin Y, Su K.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

TRIPS flexibilities help change policy and practice to increase access to medicines: evidence from 2001 to 2024. [PDF]

BMJ Glob Health
Dunn M, 't Hoen E, Boulet P, Mara K, Perehudoff K.   +4 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source