Results 151 to 160 of about 90,485 (281)

Public Sustainability: Thematic Mapping, Theoretical Approaches and Emerging Lines of Action

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The paucity of research analysing thematic persistence in public sustainability limits our understanding of how this field of research evolves and reconfigures itself. The present paper addresses this gap through a longitudinal bibliometric analysis of 692 publications processed with SciMAT. The methodology combines co‐word analysis, strategic
Laila Ribii Khalifi, Luisa‐Eugenia Reyes, Marisol Carvajal Camperos   +2 more
wiley   +1 more source

Some novel concepts of interval-valued q-rung orthopair fuzzy graphs and computational framework of fuzzy air conditioning system. [PDF]

PLoS One
Khan WA, Abbas S, Ahmed A, Pal M, Asif M, Khan MS.   +5 more
europepmc   +1 more source

Readiness and Maturity for a Smart Circular Economy to Enhance Sustainability Performance: A Multidimensional Framework for the Hospitality Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Research on readiness and maturity for the smart circular economy (SCE) remains fragmented, especially in the hospitality sector. This study develops a multidimensional framework that integrates the principles of the circular economy, Industry 4.0, and sustainability performance in the context of tourist accommodations.
Rafael Mora‐Contreras, Paz Morer‐Camo, Marta Ormazabal, Carmen Jaca, Maria Isabel Rodriguez‐Ferradas, María Jesús Álvarez   +5 more
wiley   +1 more source

Signless Laplacian energy aware decision making for electric car batteries based on intuitionistic fuzzy graphs. [PDF]

Sci Prog
Mohamed Atheeque A, Sharief Basha S.
europepmc   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Shock wave propagation characteristics of aluminum‐containing explosive in corrugated steel‐lined tunnel

Deep Underground Science and Engineering, EarlyView.
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang, Jiayu Peng, Hujun Li, Yuguo Ji, Shuobiao Li, Guokai Zhang   +5 more
wiley   +1 more source

Thermodynamic Mechanisms of Co‐S Bond Anchoring in Few‐Layered 1T‐MoS2 for Enhanced Capacitive Performance via Spin State Regulation and Ion Diffusion Kinetics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The one‐pot hydrothermal prep of Co‐doped few‐layer 1T‐MoS2 shows Co‐S bonds stabilizing the 1T phase, enhancing supercapacitor performance. Few‐layered 1T‐MoS2 is highly promising for supercapacitor applications due to its wide interlayer spacing, high electrical conductivity, and abundant active sites.
Qingling Jia, Han Li, Shun Lu, Chuanyin Xiong, Yongxing Zhang   +4 more
wiley   +1 more source

Anode/Electrolyte Interfacial Engineering Toward Sustainable and Practical Solid‐State Metal‐Sulfur Batteries: A Prospective Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Coordinated engineering of the anode, electrolyte, and interface underpins the rational design of next‐generation solid‐state metal‐sulfur batteries. Solid‐state metal‐sulfur batteries are emerging as a transformative energy storage platform with the potential to overcome the fundamental limitations of conventional flooded cells, particularly ...
Ziyu Feng, Hong Zhang, Peng Wang, Ke Lu, Fei Du   +4 more
wiley   +1 more source