Results 191 to 200 of about 68,890 (299)
Machine learning models enhance detection of arrhythmogenic right ventricular cardiomyopathy. [PDF]
Quansah KK +11 more
europepmc +1 more source
Dynamics of biotic resistance to plant invasions
ABSTRACT Biotic resistance, the reduction in invasion success caused by native communities, plays an important role in the long‐term dynamics of biological invasions. A large body of empirical research on biotic resistance has accumulated since the last comprehensive review on the subject 20 years ago, enabling us to achieve a refined understanding of ...
Christine S. Sheppard +13 more
wiley +1 more source
Tree Height and the Asymptotic Mean of the Colijn-Plazzotta Rank of Unlabeled Binary Rooted Trees. [PDF]
Devroye L +3 more
europepmc +1 more source
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas +3 more
wiley +1 more source
Differential Diagnosis of Parotid Tumors on Ultrasound: Interobserver Variability and Examiner-Specific Decision Rules-A Machine Learning Approach. [PDF]
Pillong L +9 more
europepmc +1 more source
ABSTRACT This study examines the role of corporate zero‐deforestation commitments (ZDCs) and Industry 4.0 (I4.0) enabling technologies in mitigating deforestation. Drawing on data from 110 companies included in the Forest 500 dataset, the research explores whether sustainability commitments and digital innovation influence firms' deforestation ...
Valentina Beretta +2 more
wiley +1 more source
Enumeration of rooted binary perfect phylogenies. [PDF]
Shiff CE, Rosenberg NA.
europepmc +1 more source
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source
Comparing machine learning and artificial neural network models in psychological research: a ROC-based analysis. [PDF]
Leitner ML, Arendasy M.
europepmc +1 more source
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source

