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 10861–10880 of 29389 papers
Ebbe Kyhl Gøtske
This PhD thesis uses techno-economic optimization to analyze a future sector-coupled European energy system, focusing on storage technology competitiveness, climate change impacts, and robustness to weather variability and gas supply disrup…
Soheil Kazemian, Rashid Zaman, Behzad Foroughi +1
This study analyzes the carbon footprint of Australia's utility services sector (electricity, gas, water, waste) from 2013-2017 using input-output analysis and the IELab framework. It finds the sector accounted for 43.1% of national carbon …
Prathaban Durai, Jagannath Nalavade
Proposes a data monitoring framework for aerospace Scope 3 emissions using big data analytics, supporting batch and real-time inputs. Enables airlines to track emissions, set targets, and develop reduction strategies, providing insights for…
Aye Chan Soe, Sasichakorn Wongsaichia, Teerapong Pienwisetkaew +3
This study develops a blockchain-based traceability system integrating IoT and mobile apps to enhance carbon footprint transparency in Thailand's organic food supply chain. Using the Quintuple Helix model, it co-designs an MVP with stakehol…
Ali Bozkurt, Dimitri Petrik, Samed Ajdinović +2
This study investigates the integration of Digital Product Passports (DPPs) into AGV/AMR-based intralogistics systems, drawing on 15 expert interviews. It identifies three key challenges: inconsistent standardization, heterogeneous IT secur…
Morgan Brummund, J Gardner, Jen Pierce
This paper proposes a climate action plan for Boise State University to achieve carbon neutrality by 2050, focusing on Scope 1 and Scope 3 emissions with tangible deadlines and milestones. Scope 2 emissions are expected to be eliminated thr…
Joan van Eeckhout, Miona Dimic, Cecilio Ángulo
Agrixel is a new interoperable geographic standard for agricultural data, leveraging AI and machine learning to integrate externalities like carbon footprint, energy use, and water management. It supports FAIR data principles and aims to en…
Fabian Zink, B. Wallner, T. Trautner
This paper addresses the lack of fine-grained authorization and access control at the submodel and property level when combining Gaia-X compliant dataspaces with Asset Administration Shells (AAS). It proposes an attribute-based access contr…
O. Morales, N. Pardo, J.P. Gonzalez
This study assesses carbon footprints of seven campuses of Universidad Cooperativa de Colombia from 2019 to 2022 using the Corporate Accounting and Reporting Standard Protocol. It quantifies Scope 1, 2, and selected Scope 3 emissions, ident…
Duncan J. Reynolds
This paper reveals that AI-related carbon emissions are largely omitted from NHS mandatory Green Plan reporting. It identifies three gaps: lack of granularity obscuring AI workloads' energy intensity, exclusion of hardware lifecycle emissio…
Claire Morgan‐Davies, N.R. Lambe, John P. Holland +2
This paper presents a digital vision for rangeland grazing systems, centered on the SRUC Kirkton & Auchtertyre research farm in Scotland. It leverages IoT sensors and digital twin concepts to integrate environmental management with livestoc…
Judith Buttriss
This article examines the reliability of nutrition information in the social media age and discusses trends in sustainable and personalized nutrition. It notes that plant-based diets are popular due to climate concerns, but their nutritiona…
Shakerod Munuhwa
This chapter examines how big data analytics supports the shift from linear to circular supply chains, focusing on resource efficiency, waste reduction, and life-cycle optimization. It presents case examples from food, apparel, and manufact…
Nicolas De Jaegher, Julien De Greef, Caroline Briquet +4
This study quantifies the environmental impact of switching from intravenous (IV) to oral administration of ciprofloxacin using life cycle assessment (LCA). IV administration showed 20-250 times higher environmental effects across 18 indica…
Lea Berrang‐Ford, Friederike Döbbe, Ruth Garside +6
This editorial emphasizes the need for rigorous evidence synthesis to inform climate solutions decision-making. It argues that large-scale assessments like IPCC cannot cover all primary research, so systematic reviews and evidence gap maps …
Karthik Raghunathan, Pattrapun Wongsripuemtet, Atílio Barbeito +7
Using nationwide VHA data, this study shows that telemedicine for preoperative evaluation quadrupled during the pandemic, cutting travel-related CO2 emissions by nearly 50% without compromising safety or efficiency, even among older adults …
Caroline Ball, Riana Rasoldier, Caroline Vateau +2
This paper proposes a methodology to assess the environmental impact of end-users of the Copernicus Data Space Ecosystem (CDSE), a major Earth observation data platform. It calculates embodied and operational emissions from data transfer, p…
Matteo Lugano, Damiana Chinese, Marina Campolo +1
This study evaluates pre-treatment systems for recycling ladle slag in electric steelmaking using fuzzy AHP. The most complex configuration balances environmental and economic performance, achieving 80-120 tCO2eq/year savings while increasi…
Joe Yates, Megan Deeney, Howard White +3
This protocol outlines a systematic scoping review of the impacts of plastics used across the food system (from farm to flush) on human health, food security, and the environment. It aims to map evidence on both beneficial functions (preser…
Duncan J. Reynolds
This paper reveals that AI-related carbon emissions are largely omitted from mandatory NHS Green Plan reporting. Current Scope 1-3 accounting misses emissions from AI workloads' energy intensity, hardware life-cycle (e.g., GPUs), and unproc…
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