Publication display API.
This one is used to display publications on the home page.

GET /api/organization/section/home/publications?format=api&offset=940&ordering=-about
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "slug": "average-physical-structure-of-cratonic-lithosphere-from-thermodynamic-inversion-of-global-surface-wave-data-by-yihe-xu-and-others-yunnan-university-for-researchgate-post",
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            "name": "Average physical structure of cratonic lithosphere, from thermodynamic inversion of global surface-wave data | by Yihe Xu and others, Yunnan University for ResearchGate",
            "about": "This study uses seismic thermography to model the average structure of cratonic lithosphere, revealing a 228 km deep lithosphere-asthenosphere boundary and confirming cratons as thick, cold, and isopycnic, aligning with xenolith and surface data.",
            "text": "The author presents a high-resolution, craton-average physical model of the Earth's lithosphere using thermodynamic inversion of globally averaged Rayleigh and Love surface-wave phase velocities. By integrating seismic data with constraints from petrology and thermodynamics, the authors derive detailed profiles of temperature, density, seismic velocities, and radial anisotropy. The model yields an average lithosphere-asthenosphere boundary (LAB) depth of 228 km, where the temperature reaches 1290 °C—marking the onset of mantle convection. The geotherm aligns closely with mantle xenolith data and surface observations such as heat flow and topography. Despite compositional variations having minor effects on seismic velocities, the use of fixed depleted peridotite composition and robust inversion techniques results in excellent fits to seismic dispersion data (misfits < 0.055%).",
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            "created_at": "2025-08-14T08:15:58Z",
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            "name": "Recent warming trends in Antarctica revealed by multiple reanalysis | by Sai Wang and others for Advances in Climate Change Research, ResearchGate",
            "about": "This study uses multiple reanalysis datasets to examine Antarctic temperature changes, revealing overall warming driven mainly by thermodynamic processes, with dynamic processes causing regional cooling, highlighting complex climate change mechanisms.",
            "text": "Research analyzes Antarctic temperature changes using multiple reanalysis datasets, revealing significant warming across most of the continent driven mainly by thermodynamic processes, while dynamic processes cause regional cooling. East Antarctica shows minimal warming, whereas the Antarctic Peninsula experiences amplified warming. A broad-scale shift in trends occurred around 2000, influenced by atmospheric circulation anomalies, sea ice loss, and internal variability. These findings highlight complex interactions shaping Antarctic climate and suggest that ongoing greenhouse gas emissions and changing atmospheric conditions may accelerate continental-scale warming, impacting global climate systems.",
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            "name": "Students’ Learning Style in An Educational Gaming System: A Twin-Level Prediction Model | by Mary Olayemi Femi-falade and Oluwatoyin Catherine Agbonifo for IJLTEMAS",
            "about": "This study uses machine learning to predict students' learning styles based on behavior in a serious game, applying the Gregorc Learning Style Model. It achieved high accuracy and offers insights for adaptive learning systems and educational game design.",
            "text": "This study explores the use of machine learning to predict students' learning styles based on their behavior within a serious educational game, Jo Wilder and the Capitol Case. Using the Gregorc Learning Style Model (GLSM), which includes Concrete Sequential, Abstract Sequential, Abstract Random, and Concrete Random styles, the research applies a twin-model approach combining K-Means clustering (unsupervised) and Decision Tree classification (supervised). The model, trained on interaction data such as game time and session activity.Time spent in-game (49.60%) and session level (26.77%) were key predictors. This work fills a gap in educational data mining and adaptive learning by integrating psychological theory with predictive modeling. It highlights the potential of behavior-based learning style inference to inform personalized content delivery, adaptive game design, and real-time support in digital learning environments, offering a foundation for future intelligent tutoring systems.",
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            "name": "Monitoring the Global Top-of-Atmosphere Shortwave Radiation Flux with Deep Space-Based Earth Observations | by Yuchen Zhao and others for Journal of Remote Sensing, ResearchGate",
            "about": "This study uses machine learning to improve Earth’s top-of-atmosphere shortwave radiation estimates from Deep Space Climate Observatory data, enhancing global radiation monitoring.",
            "text": "Research applies advanced machine learning techniques to analyze data from the Earth Polychromatic Imaging Camera aboard the Deep Space Climate Observatory, providing a fresh and accurate way to monitor Earth’s top-of-atmosphere shortwave radiation flux.  By developing tailored neural network models for different surface types and atmospheric conditions, the research offers a simpler and more precise alternative to traditional methods. The models closely match reference satellite products, capturing 97% of global radiation variations daily. These findings highlight the promising potential of deep space-based Earth observations for climate monitoring, with applications extending to geostationary and Moon-based satellites, opening new frontiers for understanding Earth’s energy balance and climate change.",
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            "name": "Genetic diversity of hyperiid amphipods along a meridional transect in the Atlantic Ocean | by Marloes Tump and others for Contributions to Zoology, ResearchGate",
            "about": "This study used mitochondrial gene sequences to reveal high genetic diversity and distinct geographic groups of hyperiid amphipods across the Atlantic Ocean, suggesting many unrecognized species and more limited ocean distributions than previously thought.",
            "text": "Zooplankton play a crucial role in ocean ecosystems, influencing biogeochemical cycles, carbon export, and serving as food for higher predators. Recognizing their importance, international policies now include plankton bioindicators to monitor pelagic ecosystem health, as zooplankton rapidly respond to environmental changes due to their short life cycles. Research presents a large collection of new genetic barcodes for hyperiid amphipods from the Atlantic Ocean, greatly expanding existing reference databases. Genetic analyses reveal substantial diversity within species, with several distinct genetic lineages showing high divergence, suggesting potential undiscovered species. These findings improve species identification and support future biodiversity monitoring and ecological research in marine environments.",
            "link_original": "https://www.researchgate.net/publication/392438463_Genetic_diversity_of_hyperiid_amphipods_along_a_meridional_transect_in_the_Atlantic_Ocean",
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            "created_at": "2025-07-09T11:48:49.945697Z",
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            "name": "Not only climate: The importance of biotic interactions in shaping species distributions at macro scales | by Francesca Cosentino and others for Wiley Online Library",
            "about": "This study shows that adding biotic factors, like food resource richness, improves species distribution models for 177 African bat species — even for generalists — highlighting the importance of biotic interactions at continental scales.",
            "text": "Biotic interactions are often overlooked in large-scale species distribution models (SDMs), which traditionally focus on abiotic factors. This study tested the importance of including biotic factors (trophic resource richness) in SDMs for 177 African bat species. Two models were built per species—one using only abiotic variables (noBIO-SDM) and one including biotic variables (BIO-SDM). BIO-SDMs consistently outperformed noBIO-SDMs (higher AUC values), and biotic predictors ranked as more important than abiotic ones in ~68% of species, including generalists. Over 80% of species showed changes in predicted distribution between models, especially in tropical forests and shrublands. These findings show that biotic interactions significantly influence species distributions even at continental scales, and generalist species also benefit from their inclusion.  Integrating biotic factors improves ecological realism in SDMs and enhances predictions under climate change.",
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            "name": "The Influence of Diatoms on Hydromechanical Properties of Marine Sediments | by Wyatt Scott and Julia S. Reece for Geochemistry, Geophysics, Geosystems, AGU",
            "about": "This study shows how adding diatoms to marine clays increases porosity, compressibility, and permeability, affecting sediment behavior under stress and influencing overpressure and weak layer formation.",
            "text": "This article investigates how diatoms influence the hydromechanical properties of marine sediments, focusing on illite-rich Boston Blue Clay and smectite-rich Eugene Island Clay mixed with up to 20% diatoms. Experiments show that diatoms increase porosity, compressibility, and permeability, with diatom bridging enhancing fluid flow paths. Smectite-rich clays are more compressible and prone to overpressure than illite-rich clays. The findings highlight the role of diatoms in modifying sediment behavior under stress without significant breakage at tested concentrations. These results improve modeling of subsurface pressure and slope stability, aiding risk assessments for submarine landslides and seafloor infrastructure safety.",
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            "name": "New research reveals groundwater pathways across continent | by Princeton University, Engineering School for ScienceDaily",
            "about": "This study revealed mapped continental-scale groundwater flow in North America, revealing that deep aquifers supply over half of streamflow and water travels far underground, affecting pollution and resource management.",
            "text": "Researchers from Princeton University and the University of Arizona have developed a high-resolution simulation that maps groundwater flow across North America, covering the United States, parts of Canada, and Mexico. The study shows that rain and snowmelt travel much farther and deeper underground than previously understood, taking from ten to one hundred thousand years before resurfacing in streams up to one hundred miles away. More than half of the water in rivers and streams originates from deep aquifers once thought to be disconnected from surface waters. The findings reveal extensive watershed connections, demonstrating that contaminants such as nitrate or per- and polyfluoroalkyl substances can persist and travel long distances. Deep groundwater is a major contributor to streamflow, especially in regions with steep terrain, such as the Rocky Mountains and Appalachian Mountains.",
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            "name": "Enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information | by Yiming Liu and others for Scientific Data",
            "about": "This study presents a framework to extract accurate oil release amounts from unstructured text, enhancing a global oil spill database and enabling improved assessment of environmental and ecological impacts.",
            "text": "The article addresses the challenge of accurately quantifying oil release amounts from spill incidents by extracting data from unstructured textual reports in the National Oceanic and Atmospheric Administration IncidentNews database. While existing datasets often report only potential maximum release estimates, detailed narratives contain more precise release information that is difficult to analyze at scale. During this research algorithms were developed algorithms to identify and extract actual release amounts from incident descriptions and updates, achieving high accuracy validated through manual review. Applying this framework to thousands of incidents, it enhanced the dataset with more reliable spill quantities, improving the ability to assess environmental impacts and risks. The code is publicly available for further research and application.",
            "link_original": "https://www.nature.com/articles/s41597-025-05601-9",
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            "name": "Eclogite Induced Lithospheric Drips: Implications for the Removal of the Lithosphere at Magmatic Arcs and Orogens | by Açelya Ballı and others for Terra Nova, ResearchGate",
            "about": "This study models three types of eclogite dripping in the lower crust, explaining how variations affect lithosphere removal and episodic magmatism in regions like the Andes and Tibet.",
            "text": "Research  investigates the geodynamic processes driving lithospheric dripping caused by dense eclogite bodies at the crust–mantle boundary. Using thermomechanical numerical models, three deformation styles are identified: small-scale lithospheric drips, large-scale drips, and stable lithosphere with intact eclogite. Key controls include eclogite thickness, width, and density contrasts with the mantle. Episodic removal of eclogite triggers multiple dripping events, influencing lithospheric instability and deformation. These findings improve understanding of tectonic evolution and magmatism in regions like the central Andes, Sierra Nevada, and Tibet, offering insights into crustal recycling and orogenic processes.",
            "link_original": "https://www.researchgate.net/publication/394266563_Eclogite_Induced_Lithospheric_Drips_Implications_for_the_Removal_of_the_Lithosphere_at_Magmatic_Arcs_and_Orogens",
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            "created_at": "2025-10-23T05:08:08.393120Z",
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            "name": "Service Sector Globalization and the Restructuring of Regional Employment | by Kazekami Sachiko for Research Institute of Economy, Trade and Industry",
            "about": "This study investigates the impact of globalization on domestic urbanization and employment structures in the non-manufacturing sector.",
            "text": "This study improves estimation precision by using firm-level data on overseas investments and actual domestic employment, rather than relying on proxy allocations based on regional employment shares. The analysis utilizes Japanese data from 2005 to 2020, examined by employment areas, and employs panel fixed-effects models with instrumental variables. \n\nIn the information and communications industry, globalization is associated with an increase in employment, especially among female, college-educated, and regular employees, driven by inflows and increased labor participation, indicating job creation accompanied by a reallocation of human resources. Conversely, in the academic research and professional and technical services industry, foreign labor substitutes for domestic labor, resulting in lower wages. Meanwhile, the accommodation and food services sector saw employment growth but a decrease in wages, without labor migration.",
            "link_original": "https://www.rieti.go.jp/en/publications/summary/25100008.html?ref=rss",
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