GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Topic: #Climate Science (clear)

Showing 21–40 of 1191 papers

Peer-reviewed🌍 GlobalJournalFrontiers in Animal Science2026#Climate ScienceDOI

Effects of brown seaweed supplementation on methane and carbon dioxide emissions and productivity indicators in pregnant replacement heifers

Shima Borzouie, John Duynisveld, Catherine Pal +2

A 50-day trial fed pregnant beef heifers brown seaweed (Atlantic GRO®) at 0.0–2.0% of diet DM. Supplementation at 1.0% and 2.0% reduced methane emissions by 8.2% and 8.7% versus control, with lower CO2 emissions and O2 consumption, and no a…

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Peer-reviewedJournalTransactions on Engineering and Computing Sciences2026#Climate ScienceDOI

6G Digital Transformation for Climate-Resilient Systems: A Survey

Fatima-Zahra Alaoui, Jamal El Abbadi

A survey of climate-resilient 6G networks designed to sustain connectivity during large-scale climate disasters. It reviews SAGIN, ISAC, AI-native self-healing, and ambient energy harvesting, and outlines challenges in satellite-terrestrial…

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Peer-reviewed🌍 GlobalJournalPortuguese Yearbook of the Law of the Sea.2026#Climate ScienceDOI

IPCC Climate Assessment Reports and SLR Projections

Carlos Antunes

A synthesis of IPCC AR6 (2023) climate and sea-level-rise projections, tracing the shift from RCPs to combined RCP-SSP scenarios. It highlights coastal impacts and argues for medium- to long-term land-use planning and strengthened internati…

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Peer-reviewed🇪🇺 EuropeJournalATHENS JOURNAL OF HEALTH & MEDICAL SCIENCES2026#Climate ScienceDOI

Organizing Green Nature-Based Solutions in Cities for Older Adults and Populations with Chronic Conditions: A Microclimatic Bioenergetic Assessment

Letizia Cremonini, Teodoro Georgiadis

This study assesses how urban Green Nature-Based Solutions (GNBS) protect older adults and chronic-disease populations during heatwaves, using microclimatic simulation and an adapted 6-Minute Walk Test in Bologna, Italy. A 35% tree-canopy e…

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Peer-reviewed🌍 GlobalJournalInternational Journal for Research Trends in Social Science & Humanities.2026#Climate ScienceDOI

Climate Change, Economic Growth and SDGs Achievement: Evidence from Tamil Nadu

Dr. S. Jeyalakshmi

Using official secondary data, this study examines how climate change, economic growth and SDG achievement interact in Tamil Nadu, India. It finds growth necessary but insufficient for the SDGs, as drought, floods, cyclones, heat stress and…

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Peer-reviewed🌍 GlobalJournalNatural hazards and earth system sciences2026#Climate ScienceDOI

Future fire weather projections show the importance of mitigation and adaptation for dynamic fire management

Inika Taylor, Douglas Ian Kelley, Camilla Mathison +5

Using the McArthur Forest Fire Danger Index and a large perturbed-physics ensemble, this study projects fire weather risk globally and for Australia, Brazil, and the USA under 1.5, 2.0, and 4.0 °C warming and two emissions scenarios. Fire w…

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Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Climate ScienceDOI

Greenhouse Gas Emissions from Dent Corn Fields Amended with Sewage Sludge Compost

下水汚泥コンポストを施用したデントコーン畑からの温室効果ガス排出

(著者不明)

A study on greenhouse gas emissions from dent corn fields amended with sewage sludge compost. It appears to assess how recycling waste-derived organic matter to farmland affects the GHG balance. Without an abstract, details are limited, but…

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Peer-reviewedConferenceProceedings of 3rd International Conference on Machine Intelligence and Digital Applications Mida 20262026#Climate ScienceDOI

Predicting Soil Greenhouse Gas Emissions with a CNN-SVR Hybrid Neural Network

Zhai Y.

A hybrid CNN-SVR neural network is proposed to predict soil greenhouse gas emissions. Soil GHG fluxes matter for agricultural and land-use emission inventories, so improved ML prediction could sharpen monitoring. However, with no abstract a…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Climate ScienceDOI

Urban Morphological Evolution and the Spatial Restructuring of Carbon Emissions in High-Density Taipei: A 3D Historical GIS, XAI, and MGWR Analysis, 1980–2025

Ming-Chih Jason Wang, Ming-Chih Jason Wang

Using 27,239 grid cells and 1980–2025 data for Taipei, this study integrates historical GIS, remote sensing, LOD1 building models, and metro OD data with XGBoost, TreeSHAP, and MGWR. MGWR achieves adjusted R2 of 0.886, revealing multiscale …

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Peer-reviewed🇨🇳 ChinaJournalUrban Climate2026#Climate ScienceDOI

Carbon sequestration potential of tree planting under future climate scenarios in the Guangdong–Hong Kong–Macao Greater Bay Area, China

Xiao Zhao, Shaoqing Chen, Xuemei Wang +4

This study assesses how much carbon tree planting could sequester in China's Greater Bay Area under future climate scenarios. It contributes a regional, scenario-based quantification of nature-based sink potential and how it shifts with cli…

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