Results 51 to 60 of about 111,065 (344)

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

open access: yesAdvanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su   +13 more
wiley   +1 more source

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1‐Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation

open access: yesAdvanced Science, EarlyView.
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li   +8 more
wiley   +1 more source

Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil Modelagem espacial da dengue e variáveis socioambientais no Município do Rio de Janeiro, Brasil

open access: yesCadernos de Saúde Pública, 2011
This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables.
Tatiana Rodrigues de Araujo Teixeira   +1 more
doaj   +1 more source

Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals

open access: yesAdvanced Science, EarlyView.
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang   +11 more
wiley   +1 more source

Analysis of inequality via social stratification

open access: yesEntreciencias: Diálogos en la Sociedad del Conocimiento, 2020
To analyze the contribution that social stratification provides to inequality using the Gini index as an input. Methodology: The compatible differences tool was used to calculate the percentage of income provided by social strata using the Gini index ...
Luz Judith Rodríguez Esparza   +3 more
doaj   +3 more sources

The link between social inequalities, health’ system characteristics and R&D expenditure- worldwide evidence [PDF]

open access: yesRevista Română de Statistică, 2017
The aim of this paper is to analyze the link between social inequality, measured by GINI index, health systems characteristics and R&D expenditure and to provide worldwide evidence. An undeveloped health system can have a negative impact on health status,
Celia Dana BESCIU, Armenia ANDRONICEANU
doaj  

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

open access: yesAgribusiness, 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   +3 more
wiley   +1 more source

BukaGini: A Stability-Aware Gini Index Feature Selection Algorithm for Robust Model Performance [PDF]

open access: gold, 2023
Mohamed Aly Bouke   +4 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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