Results 181 to 190 of about 39,370 (305)

Environmental Regulation at the Crossroads: A Review of Catalysts and Barriers in Circular Economy Transitions

Business Strategy and the Environment, EarlyView.
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley   +1 more source

Geological facies modeling based on Generative Adversarial Networks (GANs)

, 2020
Geological facies modeling based on progressive growing of Generative Adversarial Networks ...
Suihong Song
core  

Critical Success Factors for Enhancing the Circular Economy Performance of Last‐Mile Cold Chain Logistics Packaging for Urban Agricultural Products

Business Strategy and the Environment, EarlyView.
ABSTRACT With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive
Miao Su, Chunyu Liu, Shucheng Duan, Taewoo Roh   +3 more
wiley   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source

Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance

Ze-Peng Ma,1,2,* Yue-Ming Zhu,3,* Xiao-Dan Zhang,4 Yong-Xia Zhao,1 Wei Zheng,3 Shuang-Rui Yuan,1 Gao-Yang Li,1 Tian-Le Zhang1 1Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding ...
Zhao YX, Zhang XD, Zhang TL, Li GY, Ma ZP, Zheng W, Yuan SR, Zhu YM   +7 more
core  

A Business Strategy or Compliance? Review of the Environmental, Social and Governance (ESG) Landscape

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental, social and governance (ESG) factors have gained significant prominence within the corporate landscape, becoming essential to the sustainability and success of modern business models. Companies are increasingly required to integrate sustainable and responsible practices into their daily operations to meet stakeholder expectations
Roberto Cerchione, Viviana Sicardi
wiley   +1 more source

On the generalization limits of quantum generative adversarial networks with pure state generators. [PDF]

Sci Rep
Frkatovic J, Malemath A, Kankeu I, Werner Y, Tschöpe M, Rey VF, Suh S, Lukowicz P, Palaiodimopoulos N, Kiefer-Emmanouilidis M.   +9 more
europepmc   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Generative adversarial networks for high-fidelity 3D point cloud completion. [PDF]

Sci Rep
Zhao D, Mao S, Shao J, Huang H.
europepmc   +1 more source