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 22361–22380 of 36021 papers
Bo Zhang, Xiao‐Min Zou, Xin Wen +4
This review comprehensively synthesizes machine learning (ML) applications for predicting the cycle life of lithium-ion and sodium-ion batteries. It compares supervised, unsupervised, semi-supervised, and deep learning algorithms, highlight…
Ran Zhang, Zheng Zhao, Rui Wang +2
Using survey data from 19 digital household pilot regions in China, this study constructs a Household Digitalization Level (HDL) index and finds a positive association between HDL and adoption of green and low-carbon lifestyles. Mechanisms …
Rui Wang, Di Zou, Junjie Zeng +6
This paper proposes a method for low-carbon sintering of high-titanium vanadium titanomagnetite by coupling coke combustion, mineralization, and gas-solid heat transfer. It has potential to reduce CO2 emissions in the sintering process.
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This lecture discusses the importance of continuous action in building low-carbon cities. It emphasizes comprehensive strategies and long-term commitment for urban decarbonization.
Jutaporn Chanathaworn, Sommai Saramath, Sarawut Polvongsri +1
This paper evaluates the life-cycle energy consumption and carbon footprint of Siam Orange marigold grown in semi-transparent solar agrivoltaic greenhouses. It demonstrates the potential of agrivoltaics for low-carbon agriculture and identi…
Warach Madhyamapurush
A survey of 400 forest bathing participants in Thailand reveals a psychological spillover from wellness motivation to low-carbon tourism behavior via connectedness to nature, and that such behavior increases revisit intention.
Kristen Morse, Nele Kretzer, Chandra P. Singh +8
This paper experimentally characterizes a fuel-flexible burner integrated with an ultrasonic atomizer for low-carbon operation, demonstrating the feasibility of combustion technology capable of using multiple low-carbon fuels.
Xiao Guo, Fuya Yuan, Yuhan FU
This study proposes a bi-level programming framework for low-carbon vehicle routing optimization that accounts for road congestion. It internalizes a carbon tax and uses a hybrid genetic algorithm. A case study on the Sioux Falls network sh…
Zhuhong Gao, Bin Su, Chao An +1
This paper uses Data Envelopment Analysis (DEA) to examine how policy stringency affects the cost-effectiveness of low-carbon transition. It proposes a sequential conditional robust DEA model to identify efficient strategies for China's ene…
Meng Tao, Kelvin Tan, Adarsha Bohara
This paper examines powering megawatt-scale electrolyzers for low-carbon hydrogen production, focusing on integration with renewable energy and efficiency improvements.
Yan Zhang, Jiekuan Zhang
This study analyzes the synergistic impact of low-carbon and innovative city pilots on carbon intensity using panel data from 272 Chinese cities. It finds significant reduction through technological advances, industrial upgrading, and green…
Mustafa Aksu
This study proposes a multi-dimensional Green AI Framework evaluating machine learning models on SMS spam detection across classification performance, operational efficiency, and environmental sustainability (energy consumption and carbon f…
Scott Vaughan
This paper discusses carbon markets in relation to trade and climate change, exploring scenarios for net zero pathways. It focuses on implications for developing countries and climate-resilient development.
Ye Liang, R-L Zhang, Zhu Kai
This paper constructs a city-level carbon rebound index (CRI) and uses China's energy consumption permit trading policy (ECPTP) as a natural experiment. It finds that ECPTP significantly elevates urban carbon rebound by 21.19%, and reveals …
Kewen Wang, Jian Chen, Wei Zhang
This paper proposes a two-stage approach integrating scenario generation and stochastic optimization for low-carbon economic operation of CCHP microgrids with high renewable penetration. It uses Latin hypercube sampling and improved K-means…
Tony Chieh-Tse Hou, Malinga Siboniso Brightwell, Yang Yang
This paper examines the impact of analyst coverage and trade exposure on corporate carbon emissions in China. Empirical results suggest that higher analyst coverage is associated with lower emissions, while trade exposure may have a positiv…
Shodiev Aslam Rakhmatilloevich, Alikulov Abdumumin Ismatovich
This paper proposes a comprehensive approach to improving cost accounting and economic analysis in fishery clusters in Uzbekistan. It develops methodological foundations for adapting IFRS (IAS 41, IFRS 8, IFRS 13) to national practice, a co…
Shodiev Aslam Rakhmatilloevich, Alikulov Abdumumin Ismatovich
This paper addresses cost accounting and economic analysis in Uzbekistan's fishery clusters, proposing adaptations of IFRS (IAS 41, IFRS 8, IFRS 13) and a conceptual ESG reporting model. Using data from 2019-2024, an econometric model (R²=0…
Dhevita Aufa Athary Vatsala, Tubagus Muhamad Yusuf Khudri
This study evaluates ESG materiality based on a regional development bank's sustainability report and external stakeholder perceptions using qualitative content and thematic analysis. Findings show both the organization and stakeholders pri…
Sanusi Ariyanto, Azwirman Azwirman, Hamsal Hamsal
This study, surveying 151 respondents from 37 Indonesian companies, finds that GRI adoption, green accounting, and green audit positively impact ESG reporting quality. Environmental unconsciousness moderates these relationships. An integrat…
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