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 181–200 of 10986 papers
Huang Z, Yu M, Xie Y +1
This paper reports indium-doped NiCo layered double hydroxide (In-NiCo LDH) synthesized via electrodeposition for overall water splitting. The optimized catalyst shows low overpotentials (215 mV for OER, 180 mV for HER at 100 mA cm⁻²) and e…
Haoyuan Deng, Yihong Zhou, Thomas Morstyn +1
This paper proposes a Supervised Reinforcement Learning (SRL) framework for coordinating Distributed Energy Resources (DERs). It pre-trains a policy via supervised learning on demonstration data and then fine-tunes it using RL in two steps:…
(著者不明)
This paper constructs a machine learning model to predict net carbon sinks in Chinese agriculture and analyzes driving factors. The model integrates multiple data sources to estimate carbon sequestration and emissions from agricultural acti…
Ziyan Pang
This paper uses CiteSpace to visually analyze 536 CNKI papers from 2020-2026 on carbon emissions trading and corporate green investment. The field evolved from macro institutional construction to micro-level response and systematic integrat…
Daxin Dong, Diwei Zheng
This paper empirically analyzes how China's carbon emissions trading system (ETS) reduces industrial solid waste accumulation, demonstrating co-benefits of carbon pricing on waste management. Using Chinese data, it provides evidence for pol…
Anna Maria Moisello, Pietro Gottardo, Giovanna Gavana
This study examines how board gender diversity (BGD) affects ESG disclosure in European family firms, with national culture as a moderator. Results show that BGD's effectiveness is reduced in high-power-distance and masculine cultures, but …
Mary Kang, Mengsha Yin, Liam Woolley +1
This study provides the first measurements of fugitive methane leaks and exhaust vent emissions from natural gas end-use in Canadian buildings. Measured fugitive emission rates averaged 2.0-2.5 times higher than Canada's National Inventory …
Ji-Hyun Park, Mu Yeol Lee, So-Jeong Kim +2
This study investigates the mitigation of greenhouse gas emissions (CO2 and CH4) from paddy soil through basalt amendment, focusing on both geochemical weathering and microbial processes. Results show that higher basalt concentrations reduc…
Kanhaiya Lal, Devashish Kumar, Suborna Roy Choudhury +4
This review examines greenhouse gas emission patterns from major crops, identifying methane from rice paddies and nitrous oxide from wheat and maize. It proposes mitigation practices such as crop diversification, alternate wetting and dryin…
Vy Thi Tuong Nguyen, Huy Duc Do, Jiada Zhan +1
This study analyzed data from 27,517 U.S. adults (NHANES 2005-2018) to examine associations of seven dietary indices with chronic diseases, mortality, and diet-related greenhouse gas emissions (GHGE). Higher adherence to healthy dietary pat…
Xiaoqiang Cao, Guoxin Shi, Jilong Liu +4
This paper examines how irrigation regimes regulate carbon and nitrogen cycling in dry direct-seeded rice to reduce greenhouse gas emissions intensity while maintaining yield. The findings highlight the potential of optimized irrigation man…
Wentao Wu
This study investigates data-driven climate-smart strategies for optimizing cropping systems and nitrogen management in China's Beijing-Tianjin-Hebei region to increase crop yields and reduce greenhouse gas emissions. Using the APSIM model,…
Jing Luo, Mei Han, Liangzi Cao +12
This paper investigates the regulation of methane (CH4) and carbon dioxide (CO2) emissions by protozoa in black soil paddies of Northeast China under nitrogen input. It contributes to understanding greenhouse gas dynamics in rice cultivatio…
Yogesh Kumar Upadhyay, T. S. Harsha
This review synthesizes evidence on anthropogenic GHG emissions driving urban climate change in Bengaluru, India. It documents a dramatic expansion of built-up area from 69 km² in the 1970s to 455 km² by 2010, with associated loss of vegeta…
Akif Ziya Bayrak
This paper empirically examines the impact of banking activities (lending, investment) on greenhouse gas and carbon emissions in OTS member countries. It likely analyzes how bank credit influences corporate emissions or the environmental ef…
Negin Imani
This paper explores how smart buildings can reduce greenhouse gas emissions through energy efficiency and demand management, while also enhancing climate adaptation. It highlights the dual role of smart technologies in mitigation and adapta…
Zhufang Wang, Xiaobo Shen, Bang Du +5
This study evaluates how disturbance of side-stream partial nitritation-anammox (PN/A) affects mainstream greenhouse gas (GHG) emissions in a full-scale wastewater treatment plant. Under disturbed operation, N2O and CH4 emissions increased,…
Linzhen Qu, Yangyang Cui, Guanghan Huang +4
This paper analyzes greenhouse gas emissions from construction machinery in China, examining historical trends and proposing reduction pathways. Key measures include energy efficiency improvements and electrification to achieve significant …
Zam Zuriyati Mohamad, Rizalniyani Abdul Razak, Nur Aliah Mansor +2
This paper proposes the design of a sustainability balanced scorecard for net zero municipalities in Malaysia, integrating multi-stakeholder perspectives and policy frameworks. It provides indicators and evaluation methods for achieving net…
Mahmood Mazin Ali Mahmood, Keng Wai Chan
This systematic review of 41 studies (2012-2025) evaluates AI-driven renewable energy integration in buildings, covering PV, ML prediction, HVAC optimization, and occupancy management. Quantitative findings show 35-64% electricity cost redu…
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