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.
Showing 12821–12840 of 30058 papers
Yi Zhou, Shuo Li, Fan Yang +2
This study investigated the distribution of soil and plant organic carbon in the Henan Yellow River wetland, China. Sampling at 12 sites revealed that soil organic carbon (SOC) concentrated in the top 0-20 cm layer, with vegetation type str…
Abdurrahman Sivesoglu, Melih Seçkin, Enes Ozden +1
This paper presents a simulation study of hydrogen diffusion into single-walled carbon nanotubes, exploring their potential as hydrogen storage materials. It is a fundamental materials science investigation without direct policy or industri…
Xiaoting Guo, Gangwei Cai, Lena Tran +3
Spatiotemporal analysis of carbon decoupling from economic growth in prefabricated hotel construction. Reveals regional trends and offers insights for low-carbon building policies.
Julien Chevallier
This study analyzes EUA carbon futures prices from 2005 to 2025 using 11 technical indicators, documenting a shift from low-volatility, trendless market to high-volatility uptrend in 2018. The regime shift is attributed to the Market Stabil…
Xiuhua Yan, Mingqing Yan, Jingqiu Zhang +5
This paper explores surface-functionalized carbon skeleton materials for applications in supercapacitors and desalination, potentially contributing to sustainability in energy storage and water treatment.
Rüdiger Otto, Juan José García‐Alvarado, Elena Rocafull +6
Presents the first high-resolution forest carbon map for the Canary Islands integrating field data, ALS, Sentinel-2, and climatic variables with machine learning. Estimates 10.26 Tg carbon; laurel forests have exceptional densities. Structu…
Kuei-Tien Chou, Yi-jyun Shih, Hwa-Meei Liou
This comparative study examines carbon pricing mechanisms in Taiwan and South Korea, finding that developmental-state institutions with strong state-industry ties and carbon-intensive dominance constrain policy effectiveness. South Korea's …
nobuchika-yamaki
An initial release of a repository on carbon dioxide removal (CDR). No detailed description is provided, but it likely contains tools or datasets for CCUS technology.
Wang Kai, Yuanyuan Wang, Xincheng Liu
Using 44,327 firm-year observations from Chinese A-share listed firms (2009–2024), this study examines the association between carbon information disclosure and green invention patenting. It decomposes carbon disclosure into 'hard' (quantit…
Yuanyi Niu, Liang Zheng, Yajuan Chang +7
This paper proposes an intelligent red-blue supplemental lighting control system for greenhouses that balances photosynthesis and carbon footprint. Using AI/machine learning, it optimizes the light environment to reduce energy consumption w…
Hemant Kumar Sah, Sunil Kumar, Gyanendra Singh Sisodia +1
This study empirically examines the impact of energy consumption, economic growth, and FDI on carbon emissions in India from 1990 to 2022 using ARDL bounds testing. It finds cointegration among variables, with Granger causality showing unid…
Ping Zhang, Rui Xiang, Biao Shi
This study uses China's Green Factory Certification as a quasi-natural experiment to examine whether voluntary environmental regulation improves corporate carbon information disclosure (CID). Analyzing Chinese A-share listed firms from 2010…
Abebe Arega Mekonen, Amogne Asfaw Eshetu, Girma Moges Meshesha +3
This paper investigates community-led nature-based solutions (NbS) for urban climate resilience in Dessie City, Ethiopia, focusing on practices, challenges, and institutional dynamics. It provides insights into NbS implementation in a devel…
Yao. Li, Israa. Mahmoud
This study proposes a multi-level spatial framework for integrating Nature-Based Solutions (NBS) as green-blue infrastructure in Copenhagen to enhance climate resilience and urban livability. Using GIS analysis and multi-criteria evaluation…
Girma Moges, Mare Addis Desta, Amogne Asfaw Eshetu +3
This study examines the gap between perceived and actual benefits of Nature-based Solutions (NbS) for climate adaptation in Dessie City, Ethiopia. Using mixed methods, it finds that NbS like reforestation and terracing are widely implemente…
Weiqiu Chen, Bas W. Borsje, Pieter C. Roos +7
Climate change and human activities are exacerbating salt intrusion in estuaries, threatening freshwater supplies. This review evaluates the effectiveness of nature-based solutions (NBS) for salt intrusion mitigation, conceptualizing six po…
Ayşegül Eda Sonyürek, Mustafa Berkay Akpınar, Eylül Evrenosoğlu +7
This paper reports on the creation of pondscapes as nature-based solutions in an urban setting on the METU campus in Turkey. Specific methods and results are not available from the title alone, but such initiatives aim to enhance urban biod…
Floris Boogaard, Hsoc Mathai, Lakshman Srikanth
This paper likely introduces nature-based solutions (NbS) as an approach to address climate change and biodiversity loss, emphasizing partnership with the natural environment.
Gabriela Mariutac, Claudiu Brândaș, Otniel Didraga +1
This paper analyzes the tokenization of the voluntary carbon market (VCM) through a system-of-systems (SoS) lens, proposing a polycentric governance framework. Against the post-2023 legitimacy crisis, it qualitatively and quantitatively exa…
Tejas D. Kanade, Pavankumar M. Mistry, Prakash D. Vaidya
This study proposes a novel biphasic solvent system of DETA and DMCA for post-combustion CO2 capture. The optimized formulation (DMCA:DETA=3:2) achieved high CO2 loading (~1.1 mol CO2/mol amine) and spontaneous phase separation, with a 70% …
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