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 10381–10400 of 31370 papers
Md. Sidratul Montaha Hossain, Abdullah Al Mahmood, M. Bodiul Islam
This study conducts a cradle-to-gate LCA comparing coconut shell-derived activated carbon with commercial AC. Results show a 66% reduction in global warming potential and 70% decrease in particulate matter formation, attributed to renewable…
Jacques Balekelayi Nkongolo, Dominique Osomba Wetshondo, Valentin Nkula Kanda +1
This study evaluates three clayey-sandy geomaterials (yellow, red, black) from Kananga, DRC, for earthen construction as an alternative to cement and fired bricks, which are major CO2 sources. The materials show high plasticity, kaolinitic …
Dr. Snehal J. Raikundliya
This study examines the environmental and climatic impacts of the Surjagarh iron ore project in India using secondary data from FSI, ISFR, and other sources. It analyzes land-use change, carbon emissions, forest fragmentation, biodiversity …
Akma Yeni Masri, Rizaldi Boer, Muhammad Firdaus +1
This study analyzes the relationship between climate finance and verified emission reductions in Indonesia's transportation sector using 2018-2022 data. It categorizes 33 mitigation actions under the ASI framework and estimates the cost per…
Abdi Gemechu Geleta, Lijalem Hailu, Obsa Asefa +3
This study compares natural forest and semi-forest coffee systems in western Ethiopia, assessing the impact of traditional coffee management on forest structure and carbon storage. Natural forest had higher species diversity and carbon stoc…
Muñoz Vargas J, Albán Lara MA, Pino Terán VE +2
Using Colombian manufacturing data, this study analyzes the impact of investments in sustainable production on firm financial and environmental performance via fixed-effects regressions. Effects vary by investment size: high-investment firm…
Urgilés Rojas AG, Dueñas Vargas N, Zambrano Abad JC
This study proposes a reproducible benchmarking framework to evaluate 20 Differential Evolution (DE) variants for tuning PID/PIDA controllers of a nonlinear NREL 5-MW reference wind turbine. Using fixed-seed initialization and unified proce…
Arif MA, Furuoka F
This paper develops a SUR-ARDL framework for efficient estimation and testing of cointegrating relationships in small-N panels. The proposed estimator avoids long-run covariance matrices, reducing finite-sample distortions. Monte Carlo and …
Iqbal M, Ahmad N, Gulzar M +1
This study analyzes the impact of natural resource consumption and Industry 5.0 on sustainable energy transition in emerging markets from 2000 to 2023 using panel quantile ARDL and CCMG estimators. Findings show that resource consumption in…
Rohan SI
This study proposes an integrated decision framework combining reliability-centered maintenance (RCM) and renewable energy dispatch. A case study of an energy-intensive manufacturing facility demonstrates 16.6% annual cost reduction, 19.8% …
S GR
This paper proposes an integrated approach combining carbon neutrality and biodiversity conservation in airport operations. It argues that nature-based solutions like habitat restoration and green buffers create synergies, and emphasizes in…
Wang Z, Jia C, Ren R +8
This paper introduces a phosphate material (Sr3(PO4)2) that significantly improves proton transport in oxygen electrodes of protonic ceramic electrolysis cells (PCEC), increasing electrolysis current density by up to 148% at 600°C. Calculat…
Corre S, Magnaval G, Boztas O +2
This study evaluates PET management in Switzerland using LCA and TEA, comparing six end-of-life technologies and optimizing waste allocation. Recycling pathways (mechanical and depolymerization) achieve the greatest climate impact reduction…
Hu G, Wang T, Gu Y +1
This study quantifies the capacity limits of coal gangue utilization in China using GCAM, finding that building material use is capped at 100 Mt/yr. Diversifying into power generation, alumina extraction, and backfill recovers significant t…
Zhang Y, Zeng H, Liu Q +3
This paper proposes a novel process to convert CO2 into graphite using active metal liquids like liquid magnesium, with metal recycling via metallurgy, achieving zero waste discharge. The produced graphite is a valuable material, ensuring e…
Longfor NR, Istrate R, A JJ +1
This study models landfill methane emissions across 44 sub-Saharan African countries (2000-2100) and audits waste-sector NDC commitments. Cumulative emissions equal 1.1-4.5% of the remaining 1.5°C carbon budget, yet only 5 countries have ex…
Zein, Sharif H.
This dataset accompanies a manuscript on nanomaterials for the hydrogen economy, providing technology readiness level (TRL) assignments for 22 nanomaterial classes, along with comparative performance data for hydrogen production catalysts a…
Dominiak, Adam, Rusowicz, Artur
This replication package provides Python scripts and data to reproduce the techno-economic assessment of cement CCS projects in Poland and Bulgaria. It includes parametric, cost, dynamic, marginal breakeven, Monte Carlo, and Shapley decompo…
Halai, Oleksandr, Neilenko, Sergii, Zemlina, Yuliia +2
This study examines how digital technologies (AI, IoT, big data, blockchain) drive sustainable innovation in organizations through a systematic review of peer-reviewed literature from 2010 to 2025 and thematic analysis. It identifies four p…
Johnson, Jewel, C S, Krishnapriya, D T, Raniya +2
This paper proposes a conceptual design of an AI-assisted Phase Change Material (PCM) thermal panel for buildings. The system integrates encapsulated PCMs with sensors and AI control to stabilize indoor temperatures, reducing reliance on HV…
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