Results 91 to 100 of about 3,673,417 (291)

The robustness of the generalized Gini index

open access: yes, 2020
13 pages, 3 ...
Franciosi, M.   +2 more
openaire   +2 more sources

Automating Sustainability: How Climate Action Unlocks the ESG Potential of Industrial Robotics

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The convergence of Industry 4.0 and global sustainability goals presents a critical paradox: while automation drives efficiency, its net impact on comprehensive environmental, social, and governance (ESG) performance remains contested. This study investigates the relationship between industrial robot and country‐level ESG performance across 63
Brahim Bergougui
wiley   +1 more source

Rewiring the Circular Economy Through AI‐Informed Pathways: Structural and Distributional Drivers of Environmental Outcomes in the European Union

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino   +3 more
wiley   +1 more source

Is the Gini Index of Inequality Overly Sensitive to Changes in the Middle of the Income Distribution?

open access: yesStatistics and Public Policy, 2017
The Gini index is the most commonly used measure of income inequality. Like any single summary measure of a set of data, it cannot capture all aspects that are of interest to researchers.
Joseph L. Gastwirth
doaj   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

The Effect of Inequality of Educational Facilities, Health, and Road Conditions toward Income Distribution in Central Java Province, Indonesia

open access: yesE3S Web of Conferences, 2018
This study examines the effect of inequality of public facilities, namely education, health, and road condition, on the income inequality in Central Java Province, Indonesia.
Herry Antono, Adhi Purnomo, Firmansyah
doaj   +1 more source

Feature selection based on neighborhood rough sets and Gini index. [PDF]

open access: yesPeerJ Comput Sci, 2023
Zhang Y   +8 more
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

On Dagum’s Decomposition of the Gini Coefficient [PDF]

open access: yes
To measure the contributions to inequality from population subgroups, the Gini coefficient is often decomposed into inequality within groups, inequality between groups and a residual term arising from the overlapping of income distributions from ...
William Griffiths
core  

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli   +12 more
wiley   +1 more source

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