Results 131 to 140 of about 4,055 (251)

Climate Change and Corporate Governance: Are Board Characteristics and Carbon Footprint Reporting Moderated by CEO Influence?

Sustainable Development, EarlyView.
ABSTRACT This research investigates how board characteristics such as the number of women directors and the tenure of board members affect carbon footprint reporting and the moderating role that CEO influence plays in such relationships. Applying stakeholder and legitimacy theories, the analysis furthers a comprehensive view of how internal governance ...
Isabel Gallego‐Álvarez, María Consuelo Pucheta‐Martínez, Inmaculada Bel‐Oms   +2 more
wiley   +1 more source

Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis. [PDF]

Cogn Neurodyn, 2011
Hu M, Liang H.
europepmc   +1 more source

Forging the Green Future: How Dynamic Technological Capabilities Drive the Smart–Green Synergy in Supply Chain Management

Sustainable Development, EarlyView.
ABSTRACT This study examines how dynamic technological capabilities (DTCs) enable manufacturing SMEs to develop Smart and Green SCM practices and thereby improve green performance. Drawing on the dynamic capabilities view, this study conceptualizes DTCs along three dimensions: technological sensing, technological learning, and technological integration.
Xintong Liu, Ting Lin, Yongkang Wang, Yawen Wang   +3 more
wiley   +1 more source

Deepening the real options debate: Real options as dynamic optimization

Strategic Management Journal, EarlyView.
Abstract Research Summary Is real option theory useful for management research? This topic was hotly debated two decades ago. Real options were said to be inapplicable to management research and to lack conceptual distinctiveness. Whereas responses to the claim about the non‐distinctiveness of real options were disparate, the concern about the theory's
Arkadiy V. Sakhartov, Joseph T. Mahoney, Jeffrey J. Reuer   +2 more
wiley   +1 more source

MXene Bioinks for 3D Bioprinting: Design and Translation

Small, EarlyView.
This study establishes a comprehensive framework for MXene‐based bioinks in 3D bioprinting, highlighting the interplay between rheological engineering and electroactive hydrogels. By optimizing electrical percolation and mediated signaling, these formulations drive tissue‐specific biological outcomes and accelerated regeneration.
Begüm Sarac, Seydanur Yücer, Fatih Ciftci   +2 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

A Preliminary Exploratory Measurement Model for Systems Thinking in Defence and Aerospace Engineering: A Bifurcated Framework Developed via Multiple Correspondence Analysis

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Modern engineering faces a ‘complexity crisis’ characterized by interlinked, multidisciplinary ‘wicked problems’, particularly within the defence and aerospace sectors. Although systems thinking is recognized as a critical competency for navigating this environment, empirical quantitative frameworks for its measurement remain limited.
Shimon Fridkin, Sigal Kordova
wiley   +1 more source

Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique. [PDF]

Front Artif Intell
Chandrasekaran R, Paramasivan SK.
europepmc   +1 more source

Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

High Voltage, EarlyView.
ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang, Jia‐Wei Zhang, Haikun Shang, Yu Zhao, Yufei Wang, Chen Song, Jianwei Zhang, Fouad Belhora   +7 more
wiley   +1 more source

Multiscale Traffic Dynamics Representation for Forecasting via MEMD-Guided Dual-Branch Recurrent Networks. [PDF]

Sensors (Basel)
Qian Y, Kang T, Zhang S, Li C, Wang X, Zhao S.   +5 more
europepmc   +1 more source