Results 111 to 120 of about 29,039 (221)
[Heart sound classification based on sub-band envelope and convolution neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2021 Wang X, Yang H, Zong R, Pan J, Wang W.
europepmc +1 more source
Biological Reviews, EarlyView.ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman +4 more
wiley +1 more source
PCGmix: A Data-Augmentation Method for Heart-Sound Classification
IEEE Journal of Biomedical and Health InformaticsCardiovascular diseases (CVDs) are a leading cause of mortality worldwide, responsible for 32% of all deaths, with the annual death toll projected to reach 23.3 million by 2030. The early identification of individuals at high risk of CVD is crucial for the effectiveness of preventive strategies.
David Susič +2 more
openaire +2 more sources
Subterranean environments contribute to three‐quarters of classified ecosystem services
Biological Reviews, EarlyView.ABSTRACT Beneath the Earth's surface lies a network of interconnected caves, voids, and systems of fissures forming in rocks of sedimentary, igneous, or metamorphic origin. Although largely inaccessible to humans, this hidden realm supports and regulates services critical to ecological health and human well‐being.
Stefano Mammola +30 more
wiley +1 more source
Default Effect in ESG Investment: When a Recommendation Goes a Long Way
Business Strategy and the Environment, EarlyView.ABSTRACT Individual investors display a positive attitude toward ESG investments but typically fail to act upon it. We report results from a preregistered online experiment testing a default option on 1050 US investors examining the mechanisms driving the effectiveness of default options in promoting ESG investments.
Sai Sravanthi Ramadugula +2 more
wiley +1 more source
[A heart sound classification method based on complete ensemble empirical modal decomposition with adaptive noise permutation entropy and support vector machine]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Liu M, Wu Q, Ding S, Pan L, Liu X.
europepmc +1 more source
A Systemic Model for Understanding Business Interactions With Biodiversity and Ecosystems
Business Strategy and the Environment, EarlyView.ABSTRACT Biodiversity loss and ecosystem degradation represent critical threats to human well‐being and economic resilience, challenging businesses to understand and manage their interdependence with natural systems. This study develops a systemic framework—the BioModel—that elucidates the reciprocal relationship between businesses, biodiversity, and ...
Lino Cinquini +2 more
wiley +1 more source
[A heart sound classification method based on joint decision of extreme gradient boosting and deep neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2021 Wang Z, Jin Y, Zhao L, Liu C.
europepmc +1 more source
The Role of Institutional Pressures in Technology Adoption for Low‐Carbon Manufacturing
Business Strategy and the Environment, EarlyView.ABSTRACT Existing research highlights that the adoption of low‐carbon technologies in manufacturing operations is shaped by the external environment. However, limited understanding exists regarding how technology‐related uncertainty interacts with institutional pressures to influence firms' adoption strategies.
Diellza Salihu +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study identifies and conceptualises the grey zone of stakeholder engagement and explores how it manifests in a collaborative context related to the promotion of a circular economy. While prior research on stakeholder engagement has highlighted the positive, value‐creating bright side or the harmful dark side of stakeholder engagement, we ...
Annika Blomberg +2 more
wiley +1 more source