Results 91 to 100 of about 2,457 (170)

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

CEO Risk Orientation and Environmental Sustainability Disclosure: Managerial Discretion, Institutional Constraints, and Strategic Transparency

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether CEO risk orientation shapes environmental sustainability disclosure (ESD) and how institutional constraints condition this relationship. We argue that environmental disclosure constitutes a strategic exposure decision because greater transparency can increase regulatory scrutiny and stakeholder pressure.
Muhammad Jameel Hussain, R. M. Ammar Zahid, Yang Qian, Noha Alessa   +3 more
wiley   +1 more source

Intrinsically Ultrahigh‐Rate Charging Capability of Conversion Reaction Cathodes and Its Origin: A Mechanism Study on FeS2

Carbon Energy, EarlyView.
Origin of the ultrahigh‐rate charge capability of FeS2: FeS2 demonstrates exceptional high‐rate charging capability, delivering 92% capacity retention at 10 C and maintaining as much as 60% capacity retention even at 30 C. This originates from an ultrahigh apparent diffusion coefficient involving both Li+ and Fe2+.
Zhen Yu, Junxiong Chen, Zongwang Tian, Ji Li, Yicheng Wang, Lifu Shen, Jianwei Meng, Kaiyu Zhang, Jingyi Xie, Nian Zhang, Xuefei Feng, Tsu‐Chien Weng, Xiaosong Liu, Pengfei Yu   +13 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Living Microbial Drugs

Chemistry – A European Journal, EarlyView.
The introduction outlines the review scope. Microbial cell factories as living drugs cover host–gut microbiota, bacteria, yeast, and other microbial systems, with comparative host advantages. Engineering strategies include synthetic circuits, quorum sensing, and memory.
Cemile Elif Özçelik, Nazlıcan Tunç, Senem Şen, Urartu Özgür Şafak Şeker   +3 more
wiley   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source

Multiple injection techniques to stimulate complex fracture networks in coal reservoirs: A case study on gas disaster reduction of subsurface coal mine in southwest China

Deep Underground Science and Engineering, EarlyView.
An experimental device for physical simulation of hydraulic fracturing, comprising: a load‐bearing mechanism with multiple interconnected plates that collectively form an sample chamber; a load‐generating mechanisms, with multiple load‐generating mechanisms arranged within the experimental chamber.
Delei Shang, Farui Shi, Jun Lu, Minghui Li, Cunbao Li, Heping Xie   +5 more
wiley   +1 more source

Neuro-symbolic procedural semantics for explainable visual dialogue. [PDF]

PLoS One
Verheyen L, Botoko Ekila J, Nevens J, Van Eecke P, Beuls K.   +4 more
europepmc   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source