This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 501–520 of 703 papers
Juan Carlos Bravo-Rodríguez, Juan Carlos del-Pino-López, Francisco Casado-Machado
This paper proposes a complex-vector power formulation for unbalanced three-phase systems that makes cross-phase unbalance explicit while remaining consistent with established apparent-power definitions. Numerical examples show that a non-n…
LI Haonian, MENG Ruibing, MENG Zhongju +3
This study evaluated the long-term effects of three grazing patterns—grazing exclusion (GE), cold-season grazing (CG), and free grazing (FG)—on plant community structure and soil aggregate stability in semi-arid grasslands. The results show…
QI Wenwen, LI Yuanyuan, SHI Xiang +1
This study generated a 22-year (2000–2021) remote sensing ecological index (RSEI) data series for the Manas River Basin, an arid inland river basin in China, to assess spatiotemporal changes in ecological environmental quality and their dri…
Yiwan Huang, Xi Yang
This study examines how digital finance advancement affects commercial financing for Chinese-listed SMEs using 2011-2021 data. It finds that while digital finance reduces information asymmetry and financing constraints, it also leads to a w…
Erdin Hasanbegović, Semir Krnjić
This paper explores the role of local media in financial sustainability and green development. Using mixed methods, it finds that local media can diversify revenues through green projects and digitalization. It emphasizes institutional supp…
ghildiyal, neha, Divya Verma
This paper discusses housing loan approval prediction using machine learning, but the abstract focuses on climate change and green finance, indicating inconsistency. Low GX relevance.
Nyoman Lina Finasti, Mery Napitupulu, Ratman +1
This paper reports a community service project in Mepanga District, Indonesia, that educated middle school students on tidal flood mitigation due to climate change. Using lectures, discussions, and simulations, the program significantly imp…
Sang Won Kim
This paper analyzes Slovakia's economic achievements over 20 years of EU membership, including GDP per capita growth from 57% to 71% of EU average, driven by automotive and electronics exports. It highlights the role of FDI and EU funds, wh…
Juidette, Sarah, ZRAIOUIL, Asmaa
This study evaluates user acceptance of a learning management system (LMS) in Moroccan higher education using the TAM2 model. A quantitative analysis of 240 users shows that perceived usefulness and social influence significantly predict in…
Marius Boiță, Luminita Paiusan, Horatiu Soim +3
This paper explores the use of AI (NLP, RPA, ML) to enhance transfer pricing documentation for multinational corporations. Based on a case study of OMEGA Group, it finds that AI reduces errors, accelerates data processing, and improves comp…
Matthew F. Summerlin, Jesús A. Tirado, Megan E. Andrews
This chapter explores how high school students engage with climate change and human rights through Model United Nations deliberative simulations. Using qualitative data from 2022 and 2024 summer camps, it examines how students navigate betw…
Lauren M. Weiss
This paper, completed as part of a 2005 high school research program at the University of Rochester's Laboratory for Laser Energetics, categorizes and analyzes defects in cryogenic laser fusion targets, providing foundational data for fusio…
Ramkumar S, M. S, L. S. +3
This paper proposes a low-cost smart milk spoilage analyzer using pH, temperature, gas, and turbidity sensors with an ESP32 microcontroller for real-time monitoring. A random forest regression model classifies milk as fresh, warning, or spo…
Karagoz, Busra, Aktas. Yasemin Didem
This paper argues that disaster assembly areas, critical for post-earthquake resilience, are systematically eroded by routine planning decisions. Analysis of 5,570 sites in Istanbul reveals per-capita provision of 2.98 m² below humanitarian…
Derrer-Merk E, Jain L, Strain T +7
This paper explores the collaboration dynamics of an interdisciplinary team in the UK's Zero-Power Reactor Project using constructivist grounded theory and collaborative autoethnography. It identifies themes of psychological safety, learnin…
Mehmetaj, Ilir
This paper documents the first complete HCTGS deployment architecture for Crete, Greece. A 12-tower cluster produces 12 million cubic meters of fresh water per day and extracts minerals worth €9.12 billion annually. It also generates green …
Fabian Hofmann, Lukas Trippe, Jonas Hörsch +25
PyPSA/linopy v0.7.0 is a major update of the linear optimization library, adding a unified API for piecewise linear constraints (SOS2, incremental, disjunctive), semi-continuous variables, and variable fixing/relaxation. It includes perform…
Nosir Tojimurodovich Ortiqov, Mas'ud Ubaydulla o'g'li Karimov, Abdulaxat Turapovich Djalilov
This study investigates the effect of sulfonol on the release of polycyclic aromatic hydrocarbons (PAHs) during the production of TU-5 carbon black. Experimental results show that increasing sulfonol concentration alters PAH emission levels…
Hatim Sanad, Rachid Moussadek, Riccardo Spaccini +5
This systematic review synthesizes origins, impacts, and mitigation options of heavy metal accumulation in intensive horticultural production systems in the Mediterranean region. Following PRISMA guidelines, 150 peer-reviewed studies (2021-…
Jun Wu, Huihui Ma, Yunhao Hu +5
This study investigates the synergistic effects of applying sulfidated zero-valent iron (S-ZVI) to chloramphenicol-contaminated paddy soil, including pollution remediation, crop growth promotion, and greenhouse gas mitigation. S-ZVI enhance…
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