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 1621–1640 of 1781 papers
V. V. Marchenko, S. Naboka
This paper evaluates the technical feasibility of reusing regenerated methyl acetate in industrial enamel manufacturing. Solvents at five contamination levels (MXL0-MXL4) were regenerated using an ECO PLUS 122 thermal-distillation unit, and…
A. Ata, Simge Çankaya, Şahan Dede +1
This study conducts an environmental life cycle assessment of industrial hazardous waste incineration in Kocaeli, Türkiye. It quantifies environmental burdens and identifies improvement opportunities in waste management. Not directly GX-rel…
Benjamin Royer, Yuta Era, M. Valenzuela-Ortega +10
This paper reports a microbial method to upcycle plastic waste into levodopa, a drug used for Parkinson's disease. It presents a novel pathway for plastic waste valorization.
P. Thirupathi
This paper systematically reviews the evolving roles of microorganisms (algae, bacteria, fungi, viruses) in biomedicine, industry, and the environment. It covers recent advances in viral vectors for gene therapy, bacteriophage therapy for M…
Anne Lise Briard, Raffaele D'Elia, F. Berthet +2
This paper presents a multiphysics CFD solver to predict porosity evolution in carbon fiber reinforced polymer manufacturing. Simulations of standard autoclave cycles capture void compression and transport during resin viscosity drop and fr…
Wenzhe Sun, Longhao Li, Binglin Lu +2
This study proposes a hybrid multiscale framework combining VMD, CEEMDAN, an enhanced PatchTST with ProbSparse attention, and projection iterative optimization for forecasting H2S and SO2 concentrations in SRUs. Experiments on Italian refin…
Wakjira Tesfaye
This review synthesizes knowledge on Ethiopian coal deposits (297 Mt registered, ~600 Mt estimated), evaluating quality and suitability for thermal combustion and advanced conversion. It argues that with clean coal technologies (CCT) and em…
Zehua Zhao, Zhiqiang Wang, Honghong Lyu +1
This study investigates how copper speciation influences greenhouse gas (GHG) emissions in soil amended with manganese-modified biochar. Different copper forms alter GHG emission patterns, suggesting implications for biochar-based soil mana…
Assemu Tesfa, Mengistie Taye, Aynalem Haile +11
This study evaluates greenhouse gas emissions from Bonga and Menz sheep breeds under a community-based breeding program in Ethiopia, providing emission factors for livestock management.
Wenxu Li, Mengxiao Li, Jiaju He +8
This study investigates how conventional and biodegradable microplastics affect soil greenhouse gas emissions, nitrogen loss, and microbial community composition. Findings likely show differential impacts on emissions and microbial structur…
Chenchen Wei, Yu Wang, Yanbing Chi +7
This study uses a multi-objective optimization framework (GAM-NSGA-II) to quantify trade-offs between maize yield and greenhouse gas emissions under brackish water irrigation. It identifies optimal irrigation salinity and fertilization stra…
Andini Pramono, Tuan T. Nguyen, Amy Weissman +4
This scoping review examines how the baby-friendly hospital initiative can contribute to gender-just reductions in greenhouse gas emissions in maternity care services. It synthesizes evidence on the intersection of climate action and gender…
Diego Della Lunga, Kristofor Brye, Lisa Wood +5
This study evaluates an integrative, problem-based approach in a Wetland Soils course enhanced with greenhouse gas assessments. Comparing the 2023 integrative course with traditional courses from previous years, student comprehension rating…
Dhanang Eka Putra, Andik Irawan, Sepdian Luri Asmono +4
This study compares greenhouse gas emissions from different coffee seedling production methods: generative, vegetative, and grafting. While it provides a specific example of Scope 1 emissions in agriculture, its relevance to broader GX topi…
Luis Ivan Ruiz-Flores, Luis Cisneros-Villalobos, Hugo Albeiro Saldarriaga-Noreña +1
This paper highlights the importance of monitoring particulate pollutants (PM2.5, PM10, ozone) in Morelos, Mexico, for achieving sustainability goals, protecting public health, and mitigating climate change. It notes that concentrations exc…
Wei Zhao, Xuan Wang, Xiping Sun +3
This paper proposes using machine learning to predict GHG emissions in aerobic composting and achieve reduction via nanomembrane covering. The method can significantly reduce emissions compared to conventional composting, and the ML model e…
Junpeng Zhang, Yuxuan Jiangxu, Haicheng Zhao +7
A two-year field experiment in cold-region paddy fields in Northeast China found that ridge tillage (RC) reduced methane (CH4) emissions by 50-71% compared to conventional cultivation while maintaining rice yield. Nitrous oxide (N2O) emissi…
Dantong Liu, Changchun Song, Yanyu Song
This study explores optimization of green manure application to reduce greenhouse gas emissions while sustaining crop yields. It evaluates the impact of application patterns and rates on N2O and CO2 emissions, providing insights for sustain…
Petra Manninen, Sanni Semberg, Hem Raj Bhattarai +7
This study evaluates the impact of legume-grass mixtures on productivity and greenhouse gas emissions in managed boreal grasslands. It suggests that incorporating legumes can reduce nitrogen fertilizer use and N2O emissions while maintainin…
Shubham More, Ashootosh Mandpe
This systematic review evaluates process modifications and additive strategies to mitigate GHG emissions from composting. It summarizes the effectiveness of aerobic optimization and additives like biochar, quantifying reduction potentials. …
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