This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
Showing 141–160 of 1531 papers
Izaskun Gomez de Salazar, Itzíar Aguado Moralejo
This study compares academic definitions of nature-based solutions (NbS) with practitioner perspectives, identifying four approaches (eco-technocratic, holistic, anthropocentric, biocentric). Practice is dominated by eco-technocratic views,…
Hongzhi Zhang, Qi Li, Jie Yang +5
This study develops a low-carbon engineered supersulfated cement composite using industrial by-products and Yellow River sediment. The optimal mix achieves comparable compressive strength to conventional ECC while increasing tensile strain …
Gan Cheng, Penghao Gao, Ruiwen Guo +4
This study proposes a method using CO2 bubbles to regulate phase interfacial properties, enhancing flotation recovery of carbon from low-rank coal. The technique has potential to improve coal processing efficiency.
Jaya Verma, Varshika Singh, Jiqiang Wang +4
This review examines recent advances in antimicrobial and self-cleaning coatings for building engineering, focusing on their relevance for maintenance decarbonization. It covers fundamental mechanisms, emerging material systems, fabrication…
Iman Faridmehr, Mehdi Nikoo, Mohammad Ali Sahraei +1
This paper presents the EcoStruct platform, a digital workflow for low-carbon concrete mix design that integrates international standards. It covers all steps from project definition to reporting. A precast tunnel-lining segment case study …
Wei Chen
This paper proposes self-deploying concrete systems to reduce carbon emissions in urban construction. It explores innovative concrete formulations and deployment methods to lower the carbon footprint of building materials.
Rajesh Kumar Rai
This paper argues that forest fires in Nepal are driven by economic and institutional failures in forest management, not just climate change and negligence. Underutilization of biomass and fuel accumulation lead to intense fires, and preven…
Fidelis Yawa-ib Yapel, Philip Antwi-Agyei, Frank Baffour-Ata
This study examines the combined effects of climate change and land use/land cover changes on cocoa production in Ghana using a mixed-methods approach. Temperature increases and erratic rainfall explain 31.3% of annual cocoa yield variabili…
Omer Abedrabboh, Abderraouf Hzami, Azzam Abu-Rayash +3
This study presents an integrated framework combining high-resolution local climate zone classification, thermal hotspot identification, microclimate simulation, and building energy assessment to evaluate urban heat mitigation strategies. U…
Zhong, Xiaoyang, Gómez-Sanabria, Adriana, Mastrucci, Alessio +2
This paper develops GLANCE-GAINS, an integrated modeling framework for assessing life-cycle GHG emissions of appliances. Applied to washing machines in Europe through 2050, it shows that circularity strategies can reduce life-cycle emission…
Tahir Shah, Muhammad Sufhan Tahir, Yunli Tang +7
This paper explores optimal combinations of green manure (cover crops) and chemical fertilizers to reduce greenhouse gas (GHG) emissions from agriculture. It provides insights for sustainable farming practices and aims to strengthen agricul…
Xiang Zhang, Yang Liu, Jun Li +11
This study examines how different nitrogen sources affect the trade-off between rice yield and greenhouse gas emissions (methane and nitrous oxide) in saline-alkali paddy fields, suggesting optimized fertilization strategies can reduce emis…
Nuala McLaughlin-Borlace, Stephanie Craig, Tara Anderson +12
This study used an Accelerated Experience-Based Co-Design (AEBCD) approach with embedded focused ethnography to co-design a gamified e-resource for healthcare decarbonisation education. Fifteen nursing and pharmacy students participated in …
Gao P.
This study uses PLS-SEM to analyze how knowledge management capability, green finance, and sustainability orientation drive circular economy performance in Chinese firms. It finds that all three factors positively and significantly influenc…
Shoghi Kalkhoran S.
This study investigates the joint economic optimization of soil acidity management, lime application, nitrogen fertility, and greenhouse gas emissions. It quantitatively analyzes trade-offs between agricultural inputs and environmental impa…
Вячеслав Сергеевич Наумов, Александра Владимировна Морозова
This paper assesses the environmental impact of ship construction, operation, and disposal, highlighting that disposal significantly contributes to lithospheric pollution through solid waste. Using normalized pollutant mass and damage asses…
Yuyan Luo, Yong Qin, Xiaojing Yu
This study evaluates tourism system resilience in Tibet-related areas of Sichuan, China, using an integrated entropy weight-AHP model, coupling coordination model, and obstacle degree model. Analyzing panel data from 2011-2020, it finds tha…
Yu-Qin Wan, Ji-Long Tong, Yong-le Liu +3
This study uses the XGBoost algorithm to quantify the influence of meteorological factors on summer ozone concentration in Lanzhou, China. It provides a machine learning approach for air quality analysis but is not directly related to decar…
Gayathri Mahadevan Pillai Renuka, G. Rajasree
This narrative review evaluates whether organic farming can contribute to carbon-neutral agriculture. It finds that organic practices improve soil carbon storage and reduce synthetic fertilizer use, but benefits are context-dependent due to…
Reyane Remache, Ghaleb Al Refae, Eric Stephany +1
This paper proposes a capability framework for governing green AI in higher education, focusing on sustainable and trustworthy AI transformation. It outlines organizational capabilities needed to reduce AI's environmental impact and ensure …
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