Results 71 to 80 of about 26,283 (218)

Artificial intelligence, greening of occupational structure and total factor energy efficiency

Humanities & Social Sciences Communications
Circular economy transitions require closing material loops and narrowing resource flows through improved energy efficiency, a foundational yet relatively underexplored aspect of systemic change. This paper examines whether and how exposure to artificial
Tianren Li, Yao Hu, Jiachao Peng, Fushun Zhang   +3 more
doaj   +1 more source

A Disaggregation Strategy for Nanopesticide Fabrication: Investigating the Impact of Nanosizing on Pesticide Biointeractions

Advanced Science, EarlyView.
To explore the impact of nanosizing on pesticide biointeractions, a 7‐nm (average) emamectin benzoate nanopesticide without nanocarriers or surfactants is fabricated via HOAc‐mediated disaggregation. Nanosizing enhances bioactivity against Megalurothrips usitatus and Meloidogyne enterolobii and improves plant penetration.
Jiaqi Wei, Jianxin Feng, Huiting Zhu, Kunzhong Lin, Chenhan Liu, Lin Li, Zhuoyan Xiao, Daihao Huang, Rong Liu, Huipeng Pan, Lingda Zeng, Hanhong Xu   +11 more
wiley   +1 more source

Effects of AI-Generated Misinformation and Disinformation on the Economy

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
This study investigates the potential consequences of AI-driven misinformation/disinformation on the economy, which the World Economic Forum has identified as the most significant threat to global stability in the near term.
Zeynep Karaş
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Leveraging Artificial Intelligence for Circular Economy: Transforming Resource Management, Supply Chains, and Manufacturing Practices

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
This article delves into the innovative application of artificial intelligence (AI) in enhancing circular economy (CE) practices,offering a fresh perspective on how AI can revolutionize traditional approaches to sustainability.
Iryna Bashynska, Olha Prokopenko
doaj   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

ARTIFICIAL INTELLIGENCE AS A DRIVER OF DIGITAL ECONOMY DEVELOPMENT: INSIGHTS FROM HUNGARY AND AZERBAIJAN

Agora International Journal of Economical Sciences
This study investigates the role of artificial intelligence in shaping digital economy development through a comparative analysis of Hungary and Azerbaijan. It examines how different governance models, institutional capacities, and innovation ecosystems
Albina Hashimova, Monika Fodor-Garai
doaj   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

INDUSTRY AND FUNCTIONAL ASPECTS OF DEVELOPMENT OF THE WORLD MARKET OF ARTIFICIAL INTELLIGENCE SYSTEMS AND TECHNOLOGIES

Вестник университета, 2017
The world market of systems and technologies of the artificial intelligence (AI) representing one of the fast-growing markets of the modern world economy acts as an object of research of this article.
E. Smirnov, P. Tereliansky
doaj  

Optimizing and restructuring resources for sustainable firm performance in the AI era: the role of dynamic capabilities and circular manufacturing

Sustainable Futures
Sustainability has become a critical objective for businesses, particularly with the rapid advancement of AI-driven technologies. This study examines how AI enhances sustainable resource management by leveraging firms’ adaptive capabilities and circular ...
Tung-Thanh Le, Po-Tsun Lin, Dang Thi Viet Duc, Tri-Quan Dang, Luan-Thanh Nguyen   +4 more
doaj   +1 more source