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 10301–10320 of 34138 papers
Kalpana K, Backiyavathy M R, Chitdeshwari T +2
This review introduces Engineered Soil Carbon Systems (ESCS), integrating enhanced weathering, engineered biology, nanomaterials, and digital monitoring. It highlights IoT and machine learning for improved MRV, positioning ESCS as a verifia…
W. -J. Bai
This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …
Chen Zhu, Yanfei Liu, Qianhui Lou +2
This supplemental material provides detailed experimental materials for a behavioral experiment on low-carbon intertemporal choice and intervention strategies in public building retrofit decisions. It includes baseline measures, a time-repr…
Wen Zhou, Feifei Tian
This study examines the impact of the Dual Pilot Policy (DP) combining China's Civilized City and Low-Carbon City programs on urban green production and lifestyles (GPL). Using panel data from 276 cities (2002-2023) and a staggered DID mode…
Jianglin Jiang
This paper uses double machine learning to estimate the causal effect of digital transformation (DX) on urban green and low-carbon transition efficiency. It reveals mechanisms through which DX promotes energy efficiency and emission reducti…
Chenchen Zhang, Yizhen Du
This review analyzes urban solid waste classification and recycling systems from a low-carbon governance and circular urban development perspective, identifying challenges such as unstable classification behavior, fragmented management, and…
Yulin Patrisia, Dipa Roy, Chamila Gunasekara +3
This paper assesses the life-cycle environmental and economic performance of low-carbon roof purlin systems, offering insights for sustainable material selection in construction. It aims to balance carbon reduction and cost efficiency.
Xu
This paper proposes a two-layer data-driven approach for optimizing energy sharing among multiple microgrids (MGs), aiming to achieve both economic efficiency and low-carbon operation. By leveraging data-driven methods, it enhances energy t…
Wenjie Zhao, Chengpeng Li
This paper proposes an Improved Coati Optimization Algorithm (ICOA) inspired by urban traffic mechanisms for low-carbon microgrid scheduling. ICOA introduces road-network stratified initialization, traffic-signal-guided exploration, lane-ch…
K. K. Qin, Yu Zheng, Chao Zeng +1
This paper proposes a low-carbon scheduling and carbon emission prediction framework for power grid construction machinery by integrating an improved genetic algorithm (IGA), deep reinforcement learning (DRL), and a gated recurrent unit (GR…
Tomohito Sudare, Reiichi Ueda, Yumie Miura +7
This paper demonstrates that Nb-doped TiO2 (TNO) thin films deposited on stainless steel separators by RF magnetron sputtering achieve a low interfacial contact resistance of 2.6 mΩ cm2 against carbon-based gas diffusion layers, meeting the…
GholamReza Aghdami, Farzin Hosseinifard, Barat Ghobadian +1
This paper proposes a hybrid CCUS-bioenergy pathway using blue hydrogen to decarbonize ammonia and urea production. It demonstrates potential to balance carbon capture efficiency and economic viability through bioenergy integration, offerin…
Linlin Zhang, Junhao Lai, Ke Hu +4
This study develops a mixed-integer programming model to optimize the energy mix for yard trucks in container ports under low-carbon constraints, minimizing total cost while separating carbon costs by operating state. A case study shows a 4…
Mohd. Arif, R. Pourouchottamane, Ravindra Kumar +10
This paper evaluates the effects of integrating nitrogen sources on productivity, energy efficiency, and carbon sustainability in low-carbon fodder pearl millet systems, offering practical insights for agricultural decarbonization.
C. N. He, H. D. Chen, H. J. Tian +2
This study analyzes low-carbon investment strategies in power supply chains under carbon quota mechanisms (CQM) and blockchain technology (BCT). A two-echelon model of a power generator and retailer is examined via Stackelberg game across f…
Xirui Sun, Jie Chen, Tingting Zhang +2
This paper proposes a two-stage low-carbon dispatch framework for integrated energy systems (IESs) considering locational fairness of nodal carbon intensity (NCI). Using carbon emission flow theory, it develops a unified CEF model and impro…
Chandrani Ray Chowdhury
This paper comprehensively reviews energy efficiency and low-carbon technologies for sustainable smart cities. It analyzes smart services, energy-saving approaches, load balancing, and stable supply policies, exploring disruptive innovation…
Maziar Javadpour, Sean McCoy, Sylvia Sleep
Dynamic LCA of six concrete block scenarios shows natural carbonation offsets 11-37% of calcination emissions (25-55% with carbonation curing), static accounting overestimates by 4-10%. CCS reduces emissions 52-59%; carbonation curing and m…
Fu Jia, Yingjie Ju, Robert D. Klassen +2
This study examines how China's carbon emissions trading schemes (CETS) affect firms' environmental and social (E&S) disclosure using an institutional theory framework. Exploiting staggered CETS implementation (2013-2024) as a quasi-natural…
Qianyun Li, Meisi Ren
This study analyzes price efficiency of the tokenized voluntary carbon credit secondary market using daily Base Carbon Tonne (BCT) data from Oct 2021 to Dec 2024. Variance ratio tests show persistent deviations from random walk, indicating …
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