Results 141 to 150 of about 30,221 (232)

Soil Carbon Stocks in Fijian Seagrass: Environmental Drivers, National Inventories, and Implications for Blue Carbon Accounting in Small Island Settings

Global Biogeochemical Cycles, Volume 40, Issue 5, May 2026.
Abstract Pacific island seagrass systems remain critically underrepresented in global blue carbon assessments despite their potential significance for climate mitigation. We present the first national‐scale assessment of seagrass soil carbon stocks for a Pacific island nation based on 135 sediment cores from 47 sites across Fiji.
Joseph R. Crosswell, Wendy‐Jane Powell, Geoffrey Carlin, Christina Asanopoulos, Carrie Wentzel, Mitchell B. Lyons, Andrew D. L. Steven   +6 more
wiley   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source

Accounting for spatial interactions in the upscaling of ecosystem services

Methods in Ecology and Evolution, Volume 17, Issue 5, Page 1671-1687, May 2026.
Abstract Maps of ecosystem service (ES) supply are frequently used to guide spatial planning, policymaking and ecosystem management. However, these are typically based upon coarse land‐cover proxies. This approach lacks a strong mechanistic basis and neglects spatial biodiversity dynamics and interactions among landscape properties that can modify ES ...
Andrea Larissa Boesing, Gaëtane Le Provost, Margot Neyret, Anja Linstädter, Javier Muro, Jörg Müller, Kirsten Jung, Markus Fischer, Maximilian Lange, Olena Dubovyk, Paul Magdon, Ralph Bolliger, Sophia Leimer, Steffen Boch, Swen Renner, Till Kleinebecker, Ute Hamer, Valentin H. Klaus, Wolfgang Wilcke, Peter Manning   +19 more
wiley   +1 more source

Antinomies of Green Fintech

Antipode, Volume 58, Issue 3, May 2026.
ABSTRACT This article examines the emergence of “green fintech,” a diverse subset of new financial technologies with expressly environmental aims. We suggest that an analysis of “green fintech” offers us a useful lens on the contradictions of green finance more generally.
Nick Bernards, Giulia Dal Maso, Laura Quinteros‐Nogales   +2 more
wiley   +1 more source

Defining the tumor microenvironment of non‐small cell lung cancer

Immunology &Cell Biology, Volume 104, Issue 5, Page 499-518, May‐June 2026.
The tumor microenvironment (TME) in non‐small cell lung cancer is highly heterogeneous, both at a patient level and tumor microenvironment resolution. Defining the tumor microenvironment from patient‐responders and non‐responders will aid in the development of targeted therapeutics specific for each individual patient.
Kidane Siele Embaye, Tony Blick, Vahid Yaghoubi Naei, Ken O'Byrne, Brett G. M. Hughes, Arutha Kulasinghe   +5 more
wiley   +1 more source

Improving Machine Learning Models of Land Cover Change Using Spatial Sample Weights Based on Patch‐Level Landscape Metrics

Transactions in GIS, Volume 30, Issue 3, May 2026.
ABSTRACT Machine learning (ML) is prevalent in land change modeling for automating transition rule specification. However, aspatial strategies are typically used to mitigate the imbalances characterizing multitemporal land cover (LC) datasets. While spatialized cost‐sensitive learning strategies including spatial sample weights (SSWs) have demonstrated
Alysha van Duynhoven, Suzana Dragićević, Christopher Bone   +2 more
wiley   +1 more source

The Interaction of Human-Centric and Artificial Intelligence for Geospatial Chaining Method

AI has benefited a human that may also harm humans not appropriately developed. Transitioning from traditional human contact with non-AI computer systems to interaction with AI systems is the main goal of HCI work. We have reviewed the relevant literature at a high level and thoroughly examined the state of the art in AI system development from an HCI ...
Dr.S.Brindha, Dr. S.Ravichandran, Sajith Balaji Sarvesh   +2 more
openaire   +1 more source

Utilizing geospatial artificial intelligence to map cancer disparities across health regions. [PDF]

Sci Rep
Fadiel A, Eichenbaum KD, Abbasi M, Lee NK, Odunsi K.   +4 more
europepmc   +1 more source

Predictors of disease outbreaks at continental-scale in the African region: Insights and predictions with geospatial artificial intelligence using earth observations and routine disease surveillance data. [PDF]

Digit Health
Pezanowski S, Koua EL, Okeibunor JC, Gueye AS.   +3 more
europepmc   +1 more source

Advancing Clinical Trial Participation: Leveraging Artificial and Geospatial Intelligence

Abstract Background The COVID-19 pandemic caused major socioeconomic disruptions nationally and globally, disproportionately affecting racial and ethnic minority populations (REMP) in terms of infection and hospitalization rates. Evidence suggests these disparities occurred during pre-hospitalization stages. To address these inequities, Texas A&
George Udeani, Terri Moore, Joy Alonzo, Dorothy Farrell, Keith Biggers, Matthew Barry, Chioma Ogbodo, Sergio Herrera, Miranda Steinkopf, Ladan Panahi, Jennifer Ozmetin, Starr Flores, Chen Damodaran, Gang Han, Marcia G. Ory   +14 more
openaire   +1 more source