Results 71 to 80 of about 109,306 (263)

Health inequality and deprivation

Health Economics, 2009
AbstractThis paper looks at health inequality and deprivation, with a particular focus on developing countries. It is specifically concerned with relationships between health and income, especially the extent to which inequality and deprivation in the former is driven by changes in the latter.
McGillivray, Mark, Dutta, Indranil, Markova, Nora   +2 more
openaire   +3 more sources

The Power of Unity: Collective Action and Smallholder Agricultural Performance in West Africa

Agribusiness, EarlyView.
ABSTRACT We analyze the impact of collective action through farmer‐based organizations (FBOs) on smallholders' farm performance and income inequality in Ghana, Benin, The Gambia, and Mali. We find that FBO membership increases cereal yield in Ghana and The Gambia, legume yield in Mali, ruminant numbers in Benin and The Gambia, and total farm income in ...
Emmanuel Donkor, Bright Owusu Asante, David Boansi, Victor Owusu   +3 more
wiley   +1 more source

Inequality in health versus inequality in lifestyle choices

Nordic Journal of Health Economics, 2015
Repeated Norwegian cross-sectional data for the period 2005 to 2011 are used to compare sources of inequality in health, as represented by self-assessed health and obesity, with sources of inequality in lifestyles that are central to the production of ...
Arnstein Øvrum, Kyrre Rickertsen
doaj   +1 more source

Health Inequality and Health Types

SSRN Electronic Journal
Summary Although health affects many economic outcomes, its dynamics are still poorly understood. We use k-means clustering, a machine learning technique, and data from the Health and Retirement Study to identify health types during middle and old age.
Borella Margherita, Bullano Francisco, DeNardi Mariacristina, Krueger Benjamin, Manresa Elena   +4 more
openaire   +3 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Impact of selective evidence presentation on judgments of health inequality trends: an experimental study.

PLoS ONE, 2013
Reducing health inequalities is a key objective for many governments and public health organizations. Whether inequalities are measured on the absolute (difference) or relative (ratio) scale can have a significant impact on judgments about whether health
Sam Harper, Nicholas B King, Meredith E Young   +2 more
doaj   +1 more source

Health sufficientarianism and health inequality [PDF]

Journal of Medical Ethics
This paper asks: If we are sufficientarians about health, then why do we care about health inequality? This is an important ethical question which should be of interest to moral philosophers as well as decision-makers, bureaucrats, and healthcare professionals.
openaire   +3 more sources

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter

Advanced Intelligent Systems, EarlyView.
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song, Yonguk Sim, Doo Seok Jeong   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source