Results 91 to 100 of about 29,195 (265)

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

Chlorine‐Functionalized Silane‐Modified Copper Electrocatalyst for Enhanced CO2 Reduction to Multi‐Carbon Products

Advanced Science, EarlyView.
A chlorine‐functionalized silane modifier (CPTMS) is introduced to cooperatively regulate CO2 reduction to C2+ products on Cu‐based catalysts. Dual‐functional interface sequentially enhances CO2 activation, intermediates protonation and C─C coupling, delivering a 5‐fold increase in C2+ faradaic efficiency (FE, 75% vs.
Ying Ying Ch'ng, Sankhadip Saha, Ming Zhang, Shujie Zhou, Lixue Jiang, Putri Ramadhany, Jitraporn Vongsvivut, Adrian Cernescu, Priyank Vijaya Kumar, Yihao Shan, Zhipeng Ma, Xiaoxuan Luo, Rahman Daiyan, Zhaojun Han, Rose Amal   +14 more
wiley   +1 more source

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

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 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  

Using Artificial Intelligence to Determine the Impact of E-Commerce on the Digital Economy

Journal of Theoretical and Applied Electronic Commerce Research
E-commerce indicators are very complex and have a wide range of levels of complexity and applications. The digital economies that we are oriented towards also have complex features in terms of consumers and businesses. The research objectives are focused
Florin Cornel Dumiter, Klaus Bruno Schebesch   +1 more
doaj   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Deterministic Q-Learning with Relational Game Theory: Polynomial-Time Convergence to Minimal Winning Coalitions in Symmetric Influence Networks and Extension

Mathematics
This paper presents a theoretically grounded integration of deterministic Q-learning with relational game theory (QLRG) for efficiently identifying minimal winning coalitions in Online Social Networks (OSNs).
Duc Nghia Vu, Janos Demetrovics
doaj   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide

Advanced Science, EarlyView.
This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua, Shuang Pang, Ang Li, Zonghao Hu, Honghui Wu, Shuhan Zhang, Yi Fan, Yi Wu, Wei Yang, Yachao Zhao, Yupeng Guan, Baoming Ji, Deliang Kong, Yong Zhao, Anton A. Goncharov, Anastasia Yu. Korotkevich, Rong Mao, Yang Zhang, Ximei Zhang   +18 more
wiley   +1 more source