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 25221–25240 of 32064 papers
Widi Astuti, Dwi Putri S Aritonang, Maya Anggraeni +6
This review systematically evaluates CO2 capture using activated carbon (AC) derived from agricultural waste, following PRISMA guidelines. It finds that chemical activation, especially with KOH, enhances surface area and microporosity, impr…
Rongmin Zhang, Lianjun Chen, Gang Pan +5
This study examines the use of cement-stabilized loess as an infill for underground mine sealing walls, evaluating strength, disintegration resistance, and microstructural controls across three coal regions in China, highlighting its potent…
Sandra Cunha, Kubilay Kaptan, Adelino Elias Chiaqui +1
This study explores the use of thermally activated mixed construction and demolition waste (CDW) as a partial cement replacement in low-carbon concrete. Concrete mixtures with 5-35% replacement were tested for physical, mechanical, and dura…
Yanmei Yuan, Le Sun, Zongyun She +2
Agricultural carbon emissions require adoption of low-carbon fertilization technologies (LCFTs). A choice experiment with 732 farmers in Shandong, China shows that subsidies, insurance, technical support, and multi-channel publicity are sig…
Xue-Fei Chen, Wei-Zhi Chen, Jing Hu +2
This paper examines graphene oxide (GO) for enhancing low-carbon concrete performance and includes a life cycle impact assessment. Results indicate GO improves mechanical properties while reducing carbon emissions, promising for sustainable…
Shukai Zhang, Chengzhi Yu, Shuang Liang
This study reframes street-level urban renewal as a coordination problem between vitality and low-carbon performance. Using multisource data and interpretable machine learning, it diagnoses vitality-carbon mismatches in Chengdu, China, find…
Abdul Rehman, Suyang Zhou, Sheeraz Iqbal +3
This paper proposes an Adaptive Quantum-DRL Multi-Objective Optimization (AQ-DRLMO) framework for low-carbon CCHP systems. It integrates quantum-inspired evolutionary algorithms with deep reinforcement learning, achieving 40.08% emission re…
Sergey Pershin
This system combines standardized basalt blocks, parametric design, and robotic tuning to create mortar-free, interlocking, seismic-resilient walls. It offers 15-25x lower CO2 emissions than reinforced concrete with comparable structural pe…
Samuel Bohdan Netherclift, Peter Annear, Elise Moo +5
This rapid scoping review systematically gathers and analyzes literature on the just energy transition for climate-resilient and low-carbon healthcare in the Asia-Pacific region. From 46 eligible documents, themes including electrification,…
Rui Wang (52434), suyong zhang
This repository provides Python code and numerical outputs to simulate the green-digital collaborative low-carbon transition of the port-shipping system under carbon tax regulation. It includes centralized, port-led, and shipping-enterprise…
Shunyu Zhu, Zhao Xu, Jian Zhang +1
This paper proposes a composite carbon emission factor (CCEF) demand response framework that adaptively integrates dynamic and marginal carbon emission factors. The co-optimization model minimizes generation costs under network constraints …
Jing Chen, Zhiying Huang, Lihua Zhao +2
This study analyzes how embodied carbon transfer (ECT) and carbon sequestration service flows (CSSF) interact to reshape urban carbon neutrality across 297 Chinese cities. It identifies spatial patterns and driving mechanisms, finding that …
Y. Lee, Eo Jin Choi, Seung Wan Kim
This paper proposes an optimization framework for corporate renewable electricity procurement combining direct PPA, wholesale market purchases, and energy storage, under the Korean electricity market rules. A MILP model minimizes annual pro…
Abdullah A. Aljughaiman, Mosab I. Tabash (17340850), Suzan Sameer Issa +1
This paper provides descriptive statistics of conditional volatility series for MSCI European emerging stock markets and EU-ETS carbon prices. The results suggest volatility linkages, offering a foundation for understanding cross-market int…
Svyetlana Grishkina, K. Toletova
This paper examines the practice of ESG information disclosure by FMCG companies, analyzing sustainability reports of a former subsidiary of an international company and a domestic group. It identifies trends in the development of approache…
Ben Kerwin, Neve Fields, Leigh Martindale +1
This study develops an integrated MAED-OSeMOSYS framework for South Africa's electricity sector to evaluate long-term pathways to Net Zero 2050. Results show that a renewables-led generation mix (75% under least-cost, 94% under net-zero con…
Olaniyi Evans
This paper analyzes the convergence of ESG investment flows, digital infrastructure, and renewable energy in Africa and Latin America. Using 2025-2026 financing data, it shows that debt-led cleantech capital is accelerating Africa's energy …
Human Sciences Research Council
Seven lessons from South Africa's mining industry for renewable energy projects to manage local development: manage social disruption, understand community complexities, create responsive institutions, employ trained practitioners, clarify …
Olatokunbo Demola Salami, Samuel Olasode Olaleye, Felix Oluyemi Adekunjo +3
This study examines the economic impact of oil price volatility on renewable energy investments and the energy transition. Using VAR models, it finds short-term negative effects but long-term decoupling driven by policy and technology. Offe…
Dung Phuong Hoang
This study examines the impact of financial stress and geopolitical instability on the transition to renewable energy and environmental sustainability. It likely employs empirical methods to analyze how economic uncertainties affect renewab…
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