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 121–140 of 10879 papers
Renwei Huang, Quankang Yang, Xiaoxiao Lu +6
This study reports a facile piezocatalytic method using CdS/ZnS heterostructured nanorods to produce hydrogen peroxide from pure water via ultrasonic cavitation, offering a sustainable alternative to conventional energy-intensive production…
D. Iudean, C. Muresan, Rapolti Laszlo +2
This paper examines the policy framework for shallow geothermal energy (SGE) in Romania and proposes strategic priorities to accelerate market uptake towards EU climate neutrality. Despite favorable geological conditions, SGE is underutiliz…
Maninder Kaur
Agroforestry integrates trees with crops and livestock, sequestering carbon while improving soil fertility and biodiversity. This paper examines how carbon credit revenue can enhance profitability for farmers in Haryana, India, promoting cl…
C. William, Aprillio Tehupuring
This paper evaluates Indonesia's VAT DTP incentive for electric vehicles from a distributive justice perspective. It finds that the incentive, tied to product type and local content requirements rather than socioeconomic profiles, risks une…
D. Zakharov, Olena Lagovska, Daryna Osipchuk
This paper proposes a conceptual framework for classifying, recognizing, and measuring carbon assets and liabilities under IFRS, given the lack of a dedicated standard. A comparative analysis of three approaches (IAS 38, IAS 2, IAS 37) reve…
Chao Wu, Michael L. Goulden, James T. Randerson +9
Using satellite data, disturbance modeling, and machine learning, this study provides the first spatially explicit maps of long-term carbon loss probability in global forests under climate scenarios. North American conifer, tropical rainfor…
Danila Vasilchenko, Vladislav Nikolaev, Roman Alekseev +6
MXenes are promising cocatalysts for CO2 photoreduction, but their hydrolytic instability can produce carbonaceous gases identical to target products. This study shows that Ti3C2Tx decomposition dominates the product signal, emphasizing the…
E. Dal Negro, E. Barbero, A. Picchio +7
This paper presents a cement-free two-component backfill grout technology for TBM tunnelling, aiming to reduce carbon footprint. It provides a case study of the development and application, demonstrating significant CO2 emission reductions …
Qi Li, Ying Zhang, Hao Li +2
This paper proposes a novel HST-Heterogeneous Spatiotemporal Graph Neural Network (GNN) framework to dynamically assess environmental risks and carbon emissions from Land Use, Land-Use Change, and Forestry (LULUCF) during Ultra-High Voltage…
Donghao Li, X S Li, Xinjie Shi +7
This paper analyzes the environmental footprint (carbon, water, interprovincial transfer) of dietary transition in China based on dietary guidelines. It assesses the impact of dietary changes on resource use and reveals interregional transf…
Olga V. Zakharova
This study examines policy mechanisms to manage the transformation of household social practices to reduce carbon footprint. It critiques the focus on individual behavior and highlights the inefficiency of neglecting collective, materially …
Qingyu Hao, Jiaoyan Li, Zhenyu Wang +4
This study quantifies carbon footprints of 80 major listed tourism enterprises (2018-2022) using an MRIO framework. Total emissions declined due to COVID-19, but Scope 3 supply-chain emissions exceeded 70% of total. Firm-specific strategies…
Zheng Yao
This paper provides historical accounting and scenario-based forecasting of electricity consumption and carbon emissions from China's data centers, including embodied supply chain emissions. It offers empirical evidence for decarbonizing th…
Ping Xie, Min An
This study analyzes how extreme weather events reshape terrestrial carbon sinks in a warming anthropocene, revealing nonlinearities in carbon-climate feedback. It quantifies complex climate impacts on carbon cycles, contributing to reduced …
Zhang Zhang, Lijie Zhang
This paper proposes a carbon flow calculation method for integrated energy systems using a dynamic weight carbon entropy index. It constructs a low-carbon index system and an optimization model to minimize total carbon emissions. Experiment…
Rosa Fitriana, Nayna Rafa Sofiah, Andry Arifian Rachman
This study examines the impact of carbon emission measurement, recognition, recording, and disclosure on corporate carbon accounting implementation using panel data from Indonesian energy firms. Logistic regression reveals that recognition,…
Kriangsak Kraiwattanawong
This study designs hierarchical carbon/carbon composites using nanoarchitectonics for high-performance electric double-layer capacitors (EDLCs), aiming to improve energy storage capacity and charge-discharge rates, which could benefit EV an…
Behaylu Abreha, Zerihun Kassa -
This study evaluates an integrated bamboo agroforestry model in the Ethiopian highlands, showing high survival rates, intercropping adoption, and biochar benefits. However, carbon finance viability is constrained by high costs and input acc…
(著者不明)
Biochar, traditionally used for carbon sequestration and soil health, is now being engineered for water filtration, contaminant capture, and energy storage applications.
Yongqiang Cao, Yi-Xiang Wang, Ang Yue +5
This study analyzes the spatio-temporal distribution of carbon sources and sinks in Northeast China, assessing carbon surplus and deficit. Using GIS and remote sensing, it provides a regional-scale carbon budget mapping to inform carbon man…
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