Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human\uffe2\uff80\uff93environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970\uffe2\uff80\uff932050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16\uffe2\uff80\uff89W/m2 in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent and monitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five\uffe2\uff80\uff90level alert system, which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017\uffe2\uff80\uff932019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017\uffe2\uff80\uff932019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning and mitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders.
", "keywords": ["0106 biological sciences", "Atmospheric Science", "Land cover", "Flood Risk", "Precipitation", "01 natural sciences", "Environmental science", "Impact of Climate Change on Forest Wildfires", "Global Flood Risk Assessment and Management", "Meteorology", "Engineering", "Machine learning", "False alarm", "Civil engineering", "0105 earth and related environmental sciences", "Climatology", "Global and Planetary Change", "Tropical Cyclone Intensity and Climate Change", "Geography", "Warning system", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Computer science", "Earth and Planetary Sciences", "13. Climate action", "Environmental Science", "Physical Sciences", "Land use", "Telecommunications", "FOS: Civil engineering"]}, "links": [{"href": "https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/cli2.19"}, {"href": "https://doi.org/10.1002/cli2.19"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Climate%20Resilience%20and%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/cli2.19", "name": "item", "description": "10.1002/cli2.19", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/cli2.19"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.1007/978-3-031-12176-0_11", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:19Z", "type": "Report", "created": "2022-11-28", "title": "Integrating X-ray CT Data into Models", "description": "Open AccessXP is a Mar\u00eda Zambrano Fellow at the Public University of Navarra (UPNA) and acknowledges funding from the European Union - NextGenerationEU through the Spanish program 'Ayuda para la Recualificaci\u00f3n del Sistema Universitario Espa\u00f1ol'. AE acknowledges funding from Swiss National Science Foundation: Grants P2EZP2 175128 and P400PB_186751. TR was funded by ERC Consolidator grant 646809 DIMR.", "keywords": ["2. Zero hunger", "570", "550", "X-Ray computed tomography", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "Soil properties", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "6. Clean water"], "contacts": [{"organization": "Portell, Xavier, Pot, Valerie, Ebrahimi, Ali, Monga, Olivier, Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/978-3-031-12176-0_11"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-12176-0_11", "name": "item", "description": "10.1007/978-3-031-12176-0_11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-12176-0_11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/978-3-031-50780-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:19Z", "type": "Journal Article", "created": "2024-03-19", "title": "Quantum Technology for Economists", "description": "Open Access106 pages, 13 figures", "keywords": ["FOS: Computer and information sciences", "Computational Economics", "Central Banks", "Quantum Physics", "Computer Science - Cryptography and Security", "General Economics (econ.GN)", "ddc:330", "05 social sciences", "Money", "FOS: Physical sciences", "C60", "FOS: Economics and business", "C50", "E50", "0502 economics and business", "Quantum Computing", "Econometrics", "E40", "Quantum Physics (quant-ph)", "Cryptography and Security (cs.CR)", "Economics - General Economics"]}, "links": [{"href": "https://doi.org/10.1007/978-3-031-50780-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SSRN%20Electronic%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-50780-9", "name": "item", "description": "10.1007/978-3-031-50780-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-50780-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1007/s00466-018-1540-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:42Z", "type": "Journal Article", "created": "2018-01-10", "title": "Toward transient finite element simulation of thermal deformation of machine tools in real-time", "description": "Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FEM models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.", "keywords": ["FOS: Computer and information sciences", "Machine tool", "Numerical Analysis (math.NA)", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Real-time simulation", "Computational Engineering", " Finance", " and Science (cs.CE)", "Numerical time-stepping", "Spectral deferred corrections", "FOS: Mathematics", "FOS: Electrical engineering", " electronic engineering", " information engineering", "Thermal error", "Mathematics - Numerical Analysis", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/125537/1/paper.pdf"}, {"href": "https://doi.org/10.1007/s00466-018-1540-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computational%20Mechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00466-018-1540-6", "name": "item", "description": "10.1007/s00466-018-1540-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00466-018-1540-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-10T00:00:00Z"}}, {"id": "10.1007/s10661-023-11079-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:57Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "AbstractManaging agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human\uffe2\uff80\uff93environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970\uffe2\uff80\uff932050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16\uffe2\uff80\uff89W/m2 in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.Observations of the South Polar Residual Cap suggest a possible erosion of the cap, leading to an increase of the global mass of the atmosphere. We test this assumption by making the first comparison between Viking 1 and InSight surface pressure data, which were recorded 40\uffc2\uffa0years apart. Such a comparison also allows us to determine changes in the dynamics of the seasonal ice caps between these two periods. To do so, we first had to recalibrate the InSight pressure data because of their unexpected sensitivity to the sensor temperature. Then, we had to design a procedure to compare distant pressure measurements. We propose two surface pressure interpolation methods at the local and global scale to do the comparison. The comparison of Viking and InSight seasonal surface pressure variations does not show changes larger than \uffc2\uffb18\uffc2\uffa0Pa in the CO2 cycle. Such conclusions are supported by an analysis of Mars Science Laboratory (MSL) pressure data. Further comparisons with images of the south seasonal cap taken by the Viking 2 orbiter and MARCI camera do not display significant changes in the dynamics of this cap over a 40\uffc2\uffa0year period. Only a possible larger extension of the North Cap after the global storm of MY 34 is observed, but the physical mechanisms behind this anomaly are not well determined. Finally, the first comparison of MSL and InSight pressure data suggests a pressure deficit at Gale crater during southern summer, possibly resulting from a large presence of dust suspended within the crater.
", "keywords": ["Atmospheric sciences", "550", "Astronomy", "Atmosphere (unit)", "FOS: Mechanical engineering", "Library science", "Oceanography", "01 natural sciences", "CO2 ice", "pressure", "Mars Exploration Program", "Engineering", "Surface pressure", "Storm", "Martian Climate", "Space Suit Design and Ergonomics for EVA", "Martian Atmosphere", "Earth and Planetary Astrophysics (astro-ph.EP)", "Climatology", "Global and Planetary Change", "Geography", "Martian Surface", "Physics", "Geology", "Impact crater", "Condensed matter physics", "Anomaly (physics)", "World Wide Web", "Algorithm", "Satellite Observations", "Residual", "Physical Sciences", "Exploration and Study of Mars", "Astrophysics - Instrumentation and Methods for Astrophysics", "Research Article", "FOS: Physical sciences", "Mars", "Aerospace Engineering", "Pressure gradient", "Environmental science", "[SDU] Sciences of the Universe [physics]", "atmospheric mass", "Meteorology", "Orbiter", "0103 physical sciences", "Instrumentation and Methods for Astrophysics (astro-ph.IM)", "Formation and Evolution of the Solar System", "0105 earth and related environmental sciences", "Pressure system", "CO 2 ice", "Astronomy and Astrophysics", "FOS: Earth and related environmental sciences", "Astrobiology", "Computer science", "Physics and Astronomy", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Global Methane Emissions and Impacts", "Environmental Science", "cap sublimation", "Water on Mars", "Astrophysics - Earth and Planetary Astrophysics"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022JE007190"}, {"href": "https://doi.org/10.1029/2022je007190"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2022je007190", "name": "item", "description": "10.1029/2022je007190", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2022je007190"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-25T00:00:00Z"}}, {"id": "10.1038/s41467-024-48252-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:13Z", "type": "Journal Article", "created": "2024-05-08", "title": "A unifying modelling of multiple land degradation pathways in Europe", "description": "AbstractLand degradation is a complex socio-environmental threat, which generally occurs as multiple concurrent pathways that remain largely unexplored in Europe. Here we present an unprecedented analysis of land multi-degradation in 40 continental countries, using twelve dataset-based processes that were modelled as land degradation convergence and combination pathways in Europe\uffe2\uff80\uff99s agricultural (and arable) environments. Using a Land Multi-degradation Index, we find that up to 27%, 35% and 22% of continental agricultural (~2 million km2) and arable (~1.1 million km2) lands are currently threatened by one, two, and three drivers of degradation, while 10\uffe2\uff80\uff9311% of pan-European agricultural/arable landscapes are cumulatively affected by four and at least five concurrent processes. We also explore the complex pattern of spatially interacting processes, emphasizing the major combinations of land degradation pathways across continental and national boundaries. Our results will enable policymakers to develop knowledge-based strategies for land degradation mitigation and other critical European sustainable development goals.The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soiling disproportionately impacts the blue and ultraviolet (UV) portions of the spectrum compared to the visible and infrared (IR). Also, the general shape of the transmittance spectra was similar at all the studied sites and could adequately be described by a modified form of the \uffc3\uff85ngstr\uffc3\uffb6m turbidity equation. In addition, the distribution of particles sizes was found to follow the IEST-STD-CC 1246E cleanliness standard. The fractional coverage of the glass surface by particles could be determined directly or indirectly and, as expected, has a linear correlation with the transmittance. It thus becomes feasible to estimate the optical consequences of the soiling of PV modules from the particle size distribution and the cleanliness value.
", "keywords": ["Photovoltaic Arrays", "Cleanliness", "Particle", "PV", "02 engineering and technology", "Oceanography", "7. Clean energy", "soiling; experimental; transmittance; spectrum", "Turbidity", "Size", "Materials Science and Engineering", "\u00c5ngstr\u00f6m turbidity equation", "Transmittance", "0202 electrical engineering", " electronic engineering", " information engineering", "Photovoltaic system", "Ultraviolet", "Microscopy", "Soiling", "Energy", "Ecology", "Physics", "Q", "R", "Imaging and sensing", "Geology", "Particle size", "6. Clean water", "Photovoltaic Efficiency", "Chemistry", "Physical chemistry", "Particle (ecology)", "Physical Sciences", "Sunlight", "Medicine", "Infrared", "570", "Particle-size distribution", "PV System", "Energy science and technology", "Science", "Optical spectroscopy", "Partial Shading", "530", "Modelling", "Article", "Environmental science", "Techniques and instrumentation", "Optical physics", "Meteorology", "Artificial Intelligence", "Machine Learning Methods for Solar Radiation Forecasting", "Optical techniques", "Optoelectronics", "Aerosol", "Biology", "Renewable Energy", " Sustainability and the Environment", "Electronics", " photonics and device physics", "Building Integrated Photovoltaics", "Optics", "Photovoltaic Maximum Power Point Tracking Techniques", "FOS: Earth and related environmental sciences", "Materials science", "Photovoltaics", "Optics and photonics", "13. Climate action", "FOS: Biological sciences", "Computer Science", "Solar Thermal Energy Technologies"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625670/2/Smestad_Modelling_2020.pdf"}, {"href": "https://www.nature.com/articles/s41598-019-56868-z.pdf"}, {"href": "https://doi.org/10.1038/s41598-019-56868-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-019-56868-z", "name": "item", "description": "10.1038/s41598-019-56868-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-019-56868-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-09T00:00:00Z"}}, {"id": "10.1088/1748-9326/aaeae7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:54Z", "type": "Journal Article", "created": "2018-10-24", "title": "Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling", "description": "Open AccessA wide range of research shows that nutrient availability strongly influences terrestrial carbon (C) cycling and shapes ecosystem responses to environmental changes and hence terrestrial feedbacks to climate. Nonetheless, our understanding of nutrient controls remains far from complete and poorly quantified, at least partly due to a lack of informative, comparable, and accessible datasets at regional-to-global scales. A growing research infrastructure of multi-site networks are providing valuable data on C fluxes and stocks and are monitoring their responses to global environmental change and measuring responses to experimental treatments. These networks thus provide an opportunity for improving our understanding of C-nutrient cycle interactions and our ability to model them. However, coherent information on how nutrient cycling interacts with observed C cycle patterns is still generally lacking. Here, we argue that complementing available C-cycle measurements from monitoring and experimental sites with data characterizing nutrient availability will greatly enhance their power and will improve our capacity to forecast future trajectories of terrestrial C cycling and climate. Therefore, we propose a set of complementary measurements that are relatively easy to conduct routinely at any site or experiment and that, in combination with C cycle observations, can provide a robust characterization of the effects of nutrient availability across sites. In addition, we discuss the power of different observable variables for informing the formulation of models and constraining their predictions. Most widely available measurements of nutrient availability often do not align well with current modelling needs. This highlights the importance to foster the interaction between the empirical and modelling communities for setting future research priorities.", "keywords": ["Global vegetation models", "550", "manipulation experiments", "Terrestrial-Aquatic Linkages", "Kolefni", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "SDG 13 - Climate Action", "Climate change", "Jar\u00f0vegur", "Environmental resource management", "Global change", "General Environmental Science", "SDG 15 - Life on Land", "Carbon-nutrient cycle interactions", "2. Zero hunger", "Data syntheses", "Global and Planetary Change", "Ecology", "Geography", "Physics", "Life Sciences", "Application of Stable Isotopes in Trophic Ecology", "Cycling", "Carbon cycle", "04 agricultural and veterinary sciences", "Chemistry", "ORGANIC-MATTER", "Archaeology", "Physical Sciences", "Nutrient availability", "NET PRIMARY PRODUCTIVITY", "Ecosystem Functioning", "570", "LAND", "TROPICAL RAIN-FOREST", "carbon-nutrient cycle interactions", "data syntheses", "Soil Science", "Environmental science", "[SDU] Sciences of the Universe [physics]", "SOIL-PHOSPHORUS AVAILABILITY", "global vegetation models", "SDG 3 - Good Health and Well-being", "nutrients", "USE EFFICIENCY", "SDG 7 - Affordable and Clean Energy", "GLOBAL CHANGE", "Key (lock)", "Biology", "Ecosystem", "Manipulation experiments", "0105 earth and related environmental sciences", "Renewable Energy", " Sustainability and the Environment", "Ecosystem Structure", "Public Health", " Environmental and Occupational Health", "Nutrients", "15. Life on land", "Computer science", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "ECOSYSTEM RESPONSES", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "NITROGEN-FIXATION", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient Limitation", "ELEVATED CO2", "Nutrient"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aaeae7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aaeae7", "name": "item", "description": "10.1088/1748-9326/aaeae7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aaeae7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-07T00:00:00Z"}}, {"id": "10.1088/1748-9326/adfe83", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:55Z", "type": "Journal Article", "created": "2025-09-02", "title": "Mining global soil carbon datasets: can modern machine learning uncover the missing pieces of process-based models?", "description": "AbstractThe future of terrestrial soil carbon stocks plays a crucial role in climate change prediction. Modern machine learning techniques are now widely applied in soil science to predict the spatial distribution of soil properties from observational data. Beyond prediction, the use of machine learning as a data-mining tool offers a promising pathway for improving soil carbon modelling and refining projections of climate\uffe2\uff80\uff93carbon feedbacks. In this paper, we review recent advances in the application of machine learning to global soil carbon modelling as a data-mining tool and highlight its potential to drive an iterative feedback loop that improves the representation of soil carbon dynamics in Earth System Models.Analysis of focal copy number variations (CNVs) is highly relevant for cancer research, as they pinpoint driver genes. More specifically, due to selective pressure oncogenes and tumor suppressor genes are more often affected by these events than neighboring passengers. In cases where multiple candidates co-reside in a genomic locus, careful comparison is required to either identify multigenic minimally deleted regions of synergistic co-mutations, or the true single driver gene. The study of focal CNVs in large cancer genome cohorts requires specialized visualization and statistical analysis.
ResultsWe developed the GenomeTornadoPlot R-package which generates gene-centric visualizations of CNV types, locations and lengths from cohortwise NGS data. Furthermore, the software enables the pairwise comparison of proximate genes to identify co-mutation patterns or driver-passenger hierarchies. The visual examination provided by GenomeTornadoPlot is further supported by adaptable local and global focality scoring. Integrated into the GenomeTornadoPlot R-Package is the comprehensive PCAWG database of CNVs, comprising 2976 cancer genome entities from 46 cohorts of the Pan-cancer Analysis of Whole Genomes project. The GenomeTornadoPlot R-package can be used to perform exploratory or hypothesis-driven analyses on the basis of the PCAWG data or in combination with data provided by the user.
Availability and implementationGenomeTornadoPlot is written in R script and released via github: <https://github.com/chenhong-dkfz/GenomeTornadoPlot/>. The package is under the license of GPL-3.0.
", "keywords": ["570", "DNA Copy Number Variations", "ddc-570", "Genomics", "Oncogenes", "004 Data processing Computer science", "Software", "ddc-004", "570 Life sciences", "004", "3. Good health"]}, "links": [{"href": "https://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://academic.oup.com/bioinformatics/article-pdf/38/7/2036/49009547/btac037.pdf"}, {"href": "https://doi.org/10.1093/bioinformatics/btac037"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/bioinformatics/btac037", "name": "item", "description": "10.1093/bioinformatics/btac037", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/bioinformatics/btac037"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-31T00:00:00Z"}}, {"id": "10.1093/bioinformatics/btz584", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:56Z", "type": "Journal Article", "created": "2019-08-19", "title": "MOOMIN - Mathematical explOration of 'Omics data on a MetabolIc Network", "description": "Abstract MotivationAnalysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, interpreting these data can be difficult.
ResultsIn this work, we present a new algorithm and computational tool that uses a genome-scale metabolic reconstruction to infer metabolic changes from differential expression data. Using the framework of constraint-based analysis, our method produces a qualitative hypothesis of a change in metabolic activity. In other words, each reaction of the network is inferred to have increased, decreased, or remained unchanged in flux. In contrast to similar previous approaches, our method does not require a biological objective function and does not assign on/off activity states to genes. An implementation is provided and it is available online. We apply the method to three published datasets to show that it successfully accomplishes its two main goals: confirming or rejecting metabolic changes suggested by differentially expressed genes based on how well they fit in as parts of a coordinated metabolic change, as well as inferring changes in reactions whose genes did not undergo differential expression.
Availability and implementationgithub.com/htpusa/moomin.
Supplementary informationSupplementary data are available at Bioinformatics online.
", "keywords": ["0301 basic medicine", "570", "[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]", "Metabolic networks; omics data", "Genome", "[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]", "0206 medical engineering", "610", "Computational Biology", "[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]", "02 engineering and technology", "[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]", "Original Papers", "Models", " Biological", "03 medical and health sciences", "[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]", "Algorithms", "Metabolic Networks and Pathways", "[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1321358/5/Pusa_MOOMIN_2020.pdf"}, {"href": "https://academic.oup.com/bioinformatics/article-pdf/36/2/514/48991611/btz584.pdf"}, {"href": "https://doi.org/10.1093/bioinformatics/btz584"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/bioinformatics/btz584", "name": "item", "description": "10.1093/bioinformatics/btz584", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/bioinformatics/btz584"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-22T00:00:00Z"}}, {"id": "10.1093/bioinformatics/btad407", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:56Z", "type": "Journal Article", "created": "2023-06-24", "title": "enviRule: an end-to-end system for automatic extraction of reaction patterns from environmental contaminant biotransformation pathways", "description": "Abstract MotivationTransformation products (TPs) of man-made chemicals, formed through microbially mediated transformation in the environment, can have serious adverse environmental effects, yet the analytical identification of TPs is challenging. Rule-based prediction tools are successful in predicting TPs, especially in environmental chemistry applications that typically have to rely on small datasets, by imparting the existing knowledge on enzyme-mediated biotransformation reactions. However, the rules extracted from biotransformation reaction databases usually face the issue of being over/under-generalized and are not flexible to be updated with new reactions.
ResultsWe developed an automatic rule extraction tool called enviRule. It clusters biotransformation reactions into different groups based on the similarities of reaction fingerprints, and then automatically extracts and generalizes rules for each reaction group in SMARTS format. It optimizes the genericity of automatic rules against the downstream TP prediction task. Models trained with automatic rules outperformed the models trained with manually curated rules by 30% in the area under curve (AUC) scores. Moreover, automatic rules can be easily updated with new reactions, highlighting enviRule\uffe2\uff80\uff99s strengths for both automatic extraction of optimized reactions rules and automated updating thereof.
Availability and implementationenviRule code is freely available at https://github.com/zhangky12/enviRule.
", "keywords": ["10120 Department of Chemistry", "Statistics and Probability", "Original Paper", "1303 Biochemistry", "Computational Biology", "Biochemistry", "Computer Science Applications", "Computational Mathematics", "Computational Theory and Mathematics", "13. Climate action", "540 Chemistry", "1312 Molecular Biology", "1706 Computer Science Applications", "2613 Statistics and Probability", "2605 Computational Mathematics", "Molecular Biology", "Biotransformation", "1703 Computational Theory and Mathematics"]}, "links": [{"href": "https://doi.org/10.1093/bioinformatics/btad407"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/bioinformatics/btad407", "name": "item", "description": "10.1093/bioinformatics/btad407", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/bioinformatics/btad407"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-24T00:00:00Z"}}, {"id": "10.1109/lcomm.2018.2868666", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:19:11Z", "type": "Journal Article", "created": "2018-09-05", "title": "Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems", "description": "Open AccessTo appear in IEEE Communications Letters", "keywords": ["FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "bounds on codes", "DNA storage", "Computer Science - Information Theory", "Information Theory (cs.IT)", "synchronization error", "repetition error", "sticky insertion", "0102 computer and information sciences", "02 engineering and technology", "01 natural sciences", "tandem duplication", "0202 electrical engineering", " electronic engineering", " information engineering", "94B20", " 94B25", " 94B50", " 94B65", " 68P20", " 68P30", " 68R05", "Computer Science - Discrete Mathematics"]}, "links": [{"href": "https://doi.org/10.1109/lcomm.2018.2868666"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Communications%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lcomm.2018.2868666", "name": "item", "description": "10.1109/lcomm.2018.2868666", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lcomm.2018.2868666"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-01T00:00:00Z"}}, {"id": "10.1101/2025.03.30.646173", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:07Z", "type": "Journal Article", "created": "2025-08-19", "title": "Deciphering spatiotemporal patterns of rhizodeposition with a functional-structural root model: RhizoDep", "description": "Abstract Background and AimsRhizodeposition, i.e. the release of organic matters by roots, constitutes a significant fraction of the plant carbon (C) budget and plays a key role in plant-soil interactions. However, its spatial and temporal dynamics remain poorly understood.
MethodsWe developed RhizoDep, a new functional-structural root model that simulates 3D root growth, respiration, and rhizodeposition based on C balance and root morphology at the individual root segment level.
ResultsOur model successfully reproduced the dynamics of belowground C flows observed in a previous pulse-labelling field experiment on spring wheat. Our simulations revealed that root C exudation largely dominated over mucilage secretion and cap cells sloughing in terms of C release. The spatial distribution of exudation rate along the roots was driven by the preferential unloading of sugars to support root elongation and emergence, and was modulated by the formation of apoplastic barriers. Furthermore, our results demonstrated that, for a given C allocation flow to roots, variations in root hairs or lateral root number had minimal effects on rhizodeposition, whereas changes in root tissue density had a significant impact.
ConclusionRhizoDep offers a new opportunity to explore the dynamics of C exchange at the plant-soil interface and to identify traits and environmental conditions that favor rhizodeposition.
", "keywords": ["cycle du carbone", "http://aims.fao.org/aos/agrovoc/c_24242", "Mucilage", "mod\u00e8le de simulation", "http://aims.fao.org/aos/agrovoc/c_16034", "enracinement", "bl\u00e9 de printemps", "hexose", "Root hairs", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology", "http://aims.fao.org/aos/agrovoc/c_11547", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "mucilage", "http://aims.fao.org/aos/agrovoc/c_6651", "http://aims.fao.org/aos/agrovoc/c_32027", "FSPM", "syst\u00e8me racinaire", "ArchiSimple", "Root exudation", "croissance", "Root architecture", "racine", "http://aims.fao.org/aos/agrovoc/c_3394", "http://aims.fao.org/aos/agrovoc/c_7337", "http://aims.fao.org/aos/agrovoc/c_6569", "http://aims.fao.org/aos/agrovoc/c_6649", "http://aims.fao.org/aos/agrovoc/c_17299", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "rhizosph\u00e8re", "Cells sloughing"]}, "links": [{"href": "https://doi.org/10.1101/2025.03.30.646173"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1101/2025.03.30.646173", "name": "item", "description": "10.1101/2025.03.30.646173", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1101/2025.03.30.646173"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-03T00:00:00Z"}}, {"id": "10.1109/isit.2019.8849847", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:10Z", "type": "Journal Article", "created": "2019-09-26", "title": "Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement", "description": "Open AccessTandem-duplication-random-loss (TDRL) is an important genome rearrangement operation studied in evolutionary biology. This paper investigates some of the formal properties of TDRL operations on the symmetric group (the space of permutations over an $ n $-set). In particular, the cardinality of `balls' of radius one in the TDRL metric, as well as the cardinality of the maximum intersection of two such balls, are determined. The corresponding problems for the so-called mirror (or palindromic) TDRL rearrangement operations are also solved. The results represent an initial step in the study of error correction and reconstruction problems in this context and are of potential interest in DNA-based data storage applications.", "keywords": ["genome rearrangement", "sequence reconstruction", "Genomics (q-bio.GN)", "FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "DNA storage", "Computer Science - Information Theory", "Information Theory (cs.IT)", "0102 computer and information sciences", "02 engineering and technology", "permutation", "Quantitative Biology - Quantitative Methods", "01 natural sciences", "05A05", " 68R05", " 92B99", " 92D20", " 94B25", "error-correcting code", "FOS: Biological sciences", "0202 electrical engineering", " electronic engineering", " information engineering", "Tandem-duplication-random-loss", "Quantitative Biology - Genomics", "Quantitative Methods (q-bio.QM)", "Computer Science - Discrete Mathematics"], "contacts": [{"organization": "Kova\u010devi\u0107, Mladen, Brdar, Sanja, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1109/isit.2019.8849847"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2019%20IEEE%20International%20Symposium%20on%20Information%20Theory%20%28ISIT%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/isit.2019.8849847", "name": "item", "description": "10.1109/isit.2019.8849847", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/isit.2019.8849847"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1109/tcad.2020.3012237", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:19:11Z", "type": "Journal Article", "created": "2020-07-30", "title": "Maskara: Compilation of a Masking Countermeasure With Optimized Polynomial Interpolation", "description": "Side-channel attacks are amongst the major threats for embedded systems and IoT devices. Masking is one of the most used countermeasure against such attacks, but its application remains a difficult process. We propose a target-independent approach for applying a first-order Boolean masking countermeasure during compilation, on the static single assignment (SSA) form. Contrary to the state-of-the art automated approaches that require to simplify the control flow of the input program, our approach supports regular control-flow program structures. Moreover, our compiler is the first to automatically mask table lookups using a polynomial interpolation approach. We also present new optimizations to speedup the evaluation of polynomials: we reduce the number of terms of the polynomial, and we accelerate finite-field multiplication. We show that our approach is faster than the standard masked table approach with mask refresh after each access, with speedups up to $ times 2.4$ in our experiments. Finally, using a formal verification approach, we show that the compiled machine code is secure, i.e., that all intermediate computations are statistically independent of the secrets.", "keywords": ["0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "[INFO]Computer Science [cs]", "02 engineering and technology", "[INFO] Computer Science [cs]", "004", "620"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/43/9244237/09153055.pdf?arnumber=9153055"}, {"href": "https://doi.org/10.1109/tcad.2020.3012237"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Computer-Aided%20Design%20of%20Integrated%20Circuits%20and%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/tcad.2020.3012237", "name": "item", "description": "10.1109/tcad.2020.3012237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/tcad.2020.3012237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1109/tcomm.2019.2894158", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:11Z", "type": "Journal Article", "created": "2019-01-22", "title": "Fundamental Limits of Communication Over State-Dependent Channels With Feedback", "description": "Open AccessThe fundamental limits of communication over state-dependent discrete memoryless channels with noiseless feedback are studied, under the assumption that the communicating parties are allowed to use variable-length coding schemes. Various cases are analyzed, with the employed coding schemes having either bounded or unbounded codeword lengths, and with state information revealed to the encoder and/or decoder in a strictly causal, causal, or non-causal manner. In each of these settings, necessary and sufficient conditions for positivity of the zero-error capacity are obtained and it is shown that, whenever the zero-error capacity is positive, it equals the conventional vanishing-error capacity. Moreover, it is shown that the vanishing-error capacity of state-dependent channels is not increased by the use of feedback and variable-length coding. Both these kinds of capacities of state-dependent channels with feedback are thus fully characterized.", "keywords": ["FOS: Computer and information sciences", "zero-error capacity", "Computer Science - Information Theory", "Information Theory (cs.IT)", "variable-length code", "channel capacity", "05 social sciences", "feedback", "02 engineering and technology", "94A24", " 94A45", " 68P30", "0508 media and communications", "0202 electrical engineering", " electronic engineering", " information engineering", "Gelfand\u2013Pinsker", "Channel with states"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/26/8715692/08621013.pdf?arnumber=8621013"}, {"href": "https://doi.org/10.1109/tcomm.2019.2894158"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/tcomm.2019.2894158", "name": "item", "description": "10.1109/tcomm.2019.2894158", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/tcomm.2019.2894158"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-01T00:00:00Z"}}, {"id": "10.1109/tgrs.2022.3172883", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:12Z", "type": "Journal Article", "created": "2022-05-04", "title": "Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies", "description": "Open AccessDam reservoirs play an important role in meeting sustainable development goals and global climate targets. However, particularly for small dam reservoirs, there is a lack of consistent data on their geographical location. To address this data gap, a promising approach is to perform automated dam reservoir extraction based on globally available remote sensing imagery. It can be considered as a fine-grained task of water body extraction, which involves extracting water areas in images and then separating dam reservoirs from natural water bodies. We propose a novel deep neural network (DNN) based pipeline that decomposes dam reservoir extraction into water body segmentation and dam reservoir recognition. Water bodies are firstly separated from background lands in a segmentation model and each individual water body is then predicted as either dam reservoir or natural water body in a classification model. For the former step, point-level metric learning with triplets across images is injected into the segmentation model to address contour ambiguities between water areas and land regions. For the latter step, prior-guided metric learning with triplets from clusters is injected into the classification model to optimize the image embedding space in a fine-grained level based on reservoir clusters. To facilitate future research, we establish a benchmark dataset with earth imagery data and human labelled reservoirs from river basins in West Africa and India. Extensive experiments were conducted on this benchmark in the water body segmentation task, dam reservoir recognition task, and the joint dam reservoir extraction task. Superior performance has been observed in the respective tasks when comparing our method with state of the art approaches.", "keywords": ["FOS: Computer and information sciences", "13. Climate action", "Computer Vision and Pattern Recognition (cs.CV)", "Computer Science - Computer Vision and Pattern Recognition", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "6. Clean water"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/36/9633014/09768672.pdf?arnumber=9768672"}, {"href": "https://doi.org/10.1109/tgrs.2022.3172883"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/tgrs.2022.3172883", "name": "item", "description": "10.1109/tgrs.2022.3172883", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/tgrs.2022.3172883"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1109/tit.2019.2907979", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:12Z", "type": "Journal Article", "created": "2019-03-28", "title": "Runlength-Limited Sequences and Shift-Correcting Codes: Asymptotic Analysis", "description": "Open AccessThis work is motivated by the problem of error correction in bit-shift channels with the so-called $ (d,k) $ input constraints (where successive $ 1 $'s are required to be separated by at least $ d $ and at most $ k $ zeros, $ 0 leq d < k leq infty $). Bounds on the size of optimal $ (d,k) $-constrained codes correcting a fixed number of bit-shifts are derived, with a focus on their asymptotic behavior in the large block-length limit. The upper bound is obtained by a packing argument, while the lower bound follows from a construction based on a family of integer lattices. Several properties of $ (d, k) $-constrained sequences that may be of independent interest are established as well; in particular, the exponential growth-rate of the number of $ (d, k) $-constrained constant-weight sequences is characterized. The results are relevant for magnetic and optical information storage systems, reader-to-tag RFID channels, and other communication models where bit-shift errors are dominant and where $ (d, k) $-constrained sequences are used for modulation.", "keywords": ["peak shift", "FOS: Computer and information sciences", "bit-shift channel", "asymmetric distance", "timing error", "Discrete Mathematics (cs.DM)", "constant-weight code", "Computer Science - Information Theory", "Information Theory (cs.IT)", "0102 computer and information sciences", "02 engineering and technology", "Manhattan metric", "01 natural sciences", "94B25", " 94B50", " 94B65", " 94A55", "runlength-limited sequence", "constrained code", "0202 electrical engineering", " electronic engineering", " information engineering", "Computer Science - Discrete Mathematics"], "contacts": [{"organization": "Kova\u010devi\u0107, Mladen", "roles": ["creator"]}]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/18/8760492/08675954.pdf?arnumber=8675954"}, {"href": "https://doi.org/10.1109/tit.2019.2907979"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Information%20Theory", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/tit.2019.2907979", "name": "item", "description": "10.1109/tit.2019.2907979", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/tit.2019.2907979"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1111/j.1475-2743.2010.00314.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:41Z", "type": "Journal Article", "created": "2010-11-23", "title": "Response Of Organic Matter To Reduced Tillage And Animal Manure In A Temperate Loamy Soil", "description": "AbstractThe impacts of tillage and organic fertilization on soil organic matter (SOM) are highly variable and still unpredictable, and their interactions need to be investigated under various soil, climate and cropping system conditions. Our work examined the effect of reduced tillage and animal manure on SOM stocks and quality in the 0\uffe2\uff80\uff9340\uffe2\uff80\uff83cm layer of a loamy soil under mixed cropping system and humid temperate climate. The soil organic carbon (SOC) and N stocks, particulate organic matter (POM), and C and N mineralization potential (301\uffe2\uff80\uff83days at 15\uffe2\uff80\uff83\uffc2\uffb0C) were measured in a 8\uffe2\uff80\uff90yr\uffe2\uff80\uff90old split\uffe2\uff80\uff90plot field trial, including three tillage treatments [mouldboard ploughing (MP), shallow tillage (ST), no tillage (NT)] and two fertilization treatments [mineral (M), poultry manure 2.2\uffe2\uff80\uff83t/ha/yr C (O)]. No statistically significant interactive effects of tillage and fertilization were measured except on C mineralization. NT and ST showed greater SOC stocks (41.2 and 39.7\uffe2\uff80\uff83t/ha C) than MP (37.1\uffe2\uff80\uff83t/ha C) in the 0\uffe2\uff80\uff9315\uffe2\uff80\uff83cm increment, while no statistical differences were observed at a greater depth. N stocks exhibited similar distribution patterns with regard to tillage effect. Animal manure, applied at a rate representative of typical field application rates, had a smaller impact on SOC and N stocks than tillage. The mean SOC and N stocks were higher under O than M, but the differences were statistically significant only in the 0\uffe2\uff80\uff935\uffe2\uff80\uff83cm increment. MP showed lower C\uffe2\uff80\uff90POM stocks than NT and ST in the 0\uffe2\uff80\uff935\uffe2\uff80\uff83cm increment, whereas greater C\uffe2\uff80\uff90POM stocks were measured under MP than under NT or under ST in the 20\uffe2\uff80\uff9325\uffe2\uff80\uff83cm increment. Organic fertilization had no impact on C\uffe2\uff80\uff90POM or N\uffe2\uff80\uff90POM stocks. In the 0\uffe2\uff80\uff9325\uffe2\uff80\uff83cm increment, NT showed a lower C and N mineralization potential than MP. Our work shows that the sensitivity of SOM to reduced tillage for the whole soil profile can be relatively small in a loamy soil, under humid\uffe2\uff80\uff90temperate climate. However, POM was particularly sensitive to the differential effects of tillage practices with depth, and indicative of differentiation in total SOM distribution in the soil profile.
", "keywords": ["Carbon sequestration", "[SDE] Environmental Sciences", "2. Zero hunger", "[SDV]Life Sciences [q-bio]", "04 agricultural and veterinary sciences", "shallow tillage", "[INFO] Computer Science [cs]", "15. Life on land", "630", "6. Clean water", "[SDV] Life Sciences [q-bio]", "no tillage", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "[INFO]Computer Science [cs]", "organic amendment"]}, "links": [{"href": "https://doi.org/10.1111/j.1475-2743.2010.00314.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1475-2743.2010.00314.x", "name": "item", "description": "10.1111/j.1475-2743.2010.00314.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1475-2743.2010.00314.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-11-23T00:00:00Z"}}, {"id": "10.1128/msystems.00859-24", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:55Z", "type": "Journal Article", "created": "2024-09-10", "title": "A novel barcoded nanopore sequencing workflow of high-quality, full-length bacterial 16S amplicons for taxonomic annotation of bacterial isolates and complex microbial communities", "description": "ABSTRACTDue to recent improvements, Nanopore sequencing has become a promising method for experiments relying on amplicon sequencing. We describe a flexible workflow to generate and annotate high-quality, full-length 16S rDNA amplicons. We evaluated it for two applications, namely, (i) identification of bacterial isolates and (ii) species-level profiling of microbial communities. We assessed the identification of single bacterial isolates by sequencing, using a set of barcoded full-length 16S rRNA gene primer pairs (pair A), on 47 isolates encompassing multiple genera and compared those results with matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based identification. Species-level community profiling was tested with two sets of barcoded full-length 16S primer pairs (A and B) and compared to the results obtained with shotgun Illumina sequencing using 27 stool samples. We developed a Nextflow pipeline to retain high-quality reads and taxonomically annotate them. We found high agreement between our workflow and MALDI-TOF data for isolate identification (positive predictive value = 0.90, Cram\uffc3\uffa9r\uffe2\uff80\uff99s V = 0.857, and Theil\uffe2\uff80\uff99s U = 0.316). For species-level community profiling, we found strong correlations ( r s > 0.6) of alpha diversity indices between the two primer sets and Illumina sequencing. At the community level, we found significant but small differences when comparing sequencing techniques. Finally, we found a moderate to strong correlation when comparing the relative abundances of individual species (average r s = 0.6 and 0.533 for primers A and B). Despite identified shortcomings, the proposed workflow enabled accurate identification of single bacterial isolates and prominent features in microbial communities, making it a worthwhile alternative to MALDI-TOF MS and Illumina sequencing.
IMPORTANCEA quick, robust, simple, and cost-effective method to identify bacterial isolates and communities in each sample is indispensable in the fields of microbiology and infection biology. Recent technological advances in Oxford Nanopore Technologies sequencing make this technique an attractive option considering the adaptability, portability, and cost-effectiveness of the platform, even with small sequencing batches. Here, we validated a flexible workflow to identify bacterial isolates and characterize bacterial communities using the Oxford Nanopore Technologies sequencing platform combined with the most recent v14 chemistry kits. For bacterial isolates, we compared our nanopore-based approach to matrix-assisted laser desorption ionization-time of flight mass spectrometry-based identification. For species-level profiling of complex bacterial communities, we compared our nanopore-based approach to Illumina shotgun sequencing. For reproducibility purposes, we wrapped the code used to process the sequencing data into a ready-to-use and self-contained Nextflow pipeline.
", "keywords": ["DNA", " Bacterial", "1303 Biochemistry", "gut microbiome", "610 Medicine & health", "Microbiology", "Workflow", "1311 Genetics", "RNA", " Ribosomal", " 16S", "1312 Molecular Biology", "1706 Computer Science Applications", "DNA Barcoding", " Taxonomic", "Humans", "DNA sequencing", "Bacteria", "10179 Institute of Medical Microbiology", "Microbiota", "2404 Microbiology", "1314 Physiology", "bioinformatics", "QR1-502", "Nanopore Sequencing", "1105 Ecology", " Evolution", " Behavior and Systematics", "Spectrometry", " Mass", " Matrix-Assisted Laser Desorption-Ionization", "570 Life sciences; biology", "2611 Modeling and Simulation", "Research Article"]}, "links": [{"href": "https://doi.org/10.1128/msystems.00859-24"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/mSystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/msystems.00859-24", "name": "item", "description": "10.1128/msystems.00859-24", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/msystems.00859-24"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-11T00:00:00Z"}}, {"id": "10.1117/12.2650251", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:52Z", "type": "Journal Article", "created": "2023-01-26", "title": "Salt-induced aggregation of gold nanoparticles for sensitive SERS-based detection of nanoplastics in water", "description": "The presence of micro and nano plastics in the environment and their impact on the various life forms within it are of principle concern around the globe. However, whilst a considerable amount of work has been done on the detection of microplastics, many challenges remain in the development of analytical techniques for nanoplastics due to their inherent ultra-small size and ubiquitous shapes. Here, a simple technique is reported based on surface enhanced Raman spectroscopy (SERS) and salt (NaCl) induced aggregation of gold nanoparticles that has been used to detect 100 nm diameter polystyrene (PS) beads. The gold nanoparticles (AuNPs) were synthesized and stabilized by negatively charged sodium citrate. When the PS beads present in a water sample were introduced into the solution of colloidal AuNPs, they interact to each other via hydrophobic interactions and other weak forces (i.e. hydrogen, ionic, and Van der waals forces). Upon an addition of NaCl, the negatively charged ions around the AuNPs are shielded and disturbed, resulting in their aggregation around the PS beads. As a consequence, strong SERS signal enhancement produced by the aggregated AuNPs was observed, and also demonstrated in numerical modelling. Concentrations of 100 nm PS beads as low as 1 part per million (ppm) were measured, and to the best of the author's knowledge, this is the lowest concentration detected for nanoplastics of that size or smaller by such a simple technique that has been reported.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1700/1706", "SERS", "/dk/atira/pure/subjectarea/asjc/2500/2504", "/dk/atira/pure/subjectarea/asjc/3100/3104", "/dk/atira/pure/subjectarea/asjc/2200/2208", "aggregation", "detection", "/dk/atira/pure/subjectarea/asjc/2600/2604", "name=Applied Mathematics", "name=Electrical and Electronic Engineering", "name=Computer Science Applications", "540", "01 natural sciences", "nanoplastics", "620", "name=Electronic", "gold nanoparticles", "0103 physical sciences", "salt", "name=Condensed Matter Physics", "Optical and Magnetic Materials"]}, "links": [{"href": "https://doi.org/10.1117/12.2650251"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Quantum%20Sensing%20and%20Nano%20Electronics%20and%20Photonics%20XIX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1117/12.2650251", "name": "item", "description": "10.1117/12.2650251", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1117/12.2650251"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-15T00:00:00Z"}}, {"id": "10.1186/s40537-023-00735-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:06Z", "type": "Journal Article", "created": "2023-04-29", "title": "Transfer learning approach based on satellite image time series for the crop classification problem", "description": "AbstractThis paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In the case of sugar beet, class recall is improved by 85.71%.The necessity of sustainable development for landscapes has emerged as an important theme in recent decades. Current methods take a holistic approach to landscape heritage and promote an interdisciplinary dialogue to facilitate complementary landscape management strategies. With the socio-economic values of the \u201cnatural\u201d and \u201ccultural\u201d landscape heritage increasingly recognised worldwide, remote sensing tools are being used more and more to facilitate the recording and management of landscape heritage. The advent of freeware cloud computing services has enabled significant improvements in landscape research allowing the rapid exploration and processing of satellite imagery such as the Landsat and Copernicus Sentinel datasets. This research represents one of the first applications of the Google Earth Engine (GEE) \u00a0Python application programming interface (API) in studies of historic landscapes. The complete free and open-source software (FOSS) cloud protocol proposed here consists of a Python code script developed in Google Colab, which could be adapted and replicated in different areas of the world. A multi-temporal approach has been adopted to investigate the potential of Sentinel-2 satellite imagery to detect buried hydrological and anthropogenic features along with spectral index and spectral decomposition analysis. The protocol's effectiveness in identifying palaeo-riverscape features has been tested in the Po Plain (N Italy).", "keywords": ["FOS: Computer and information sciences", "Landscape Archaeology", "Computer Vision and Pattern Recognition (cs.CV)", "Computer Science - Computer Vision and Pattern Recognition", "0211 other engineering and technologies", "Articles", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Fluvial and Alluvial Archaeology", "12. Responsible consumption", "Multispectral analysis", "Computer Science - Computers and Society", "Buried features", "Multispectral analysis;Sentinel-2;Spectral decomposition;Python;Riverscape;Fluvial and Alluvial Archaeology;Landscape Archaeology;Buried features", "13. Climate action", "Computers and Society (cs.CY)", "11. Sustainability", "Spectral decomposition", "Sentinel-2", "Riverscape", "Python", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/878015/4/Brandolini%2bet%2bal_ORE_2021_compressed%20%282%29.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=272362/A22B27B6-9486-4FBF-91B1-B06594F968F1.pdf&pub_id=272362"}, {"href": "https://doi.org/10.12688/openreseurope.13135.2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Open%20Research%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.12688/openreseurope.13135.2", "name": "item", "description": "10.12688/openreseurope.13135.2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.12688/openreseurope.13135.2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-24T00:00:00Z"}}, {"id": "10.15454/e03znv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:26Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.5: \"Pilot knowledge information system set up through the OCP\"", "description": "Official release of the international knowledge information system with complete functionalities based on partner user feedbacks, integrated within the OCP.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Computer and Information Science", "Computer Science", " Electrical and System Engineering", "Computer science", "Information management", "Earth and Environmental Sciences", "Computer Science", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Information Science"], "contacts": [{"organization": "Arias-Navarro, C., Tanikawa, S., Laurent, J.-B., De Sousa, L., Soussana, J.-F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/e03znv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/e03znv", "name": "item", "description": "10.15454/e03znv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/e03znv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/cac5cp", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:26Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.2: \u201cMain features and use cases of the knowledge information system\u201d", "description": "This document gathers the requirements for the Knowledge Information System (Deliverable D1.4)", "keywords": ["Soils and soil sciences", "Computer and Information Science", "Earth and Environmental Sciences", "Computer science"], "contacts": [{"organization": "Duque Moreira De Sousa, Luis", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/cac5cp"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/cac5cp", "name": "item", "description": "10.15454/cac5cp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/cac5cp"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1659/mrd.00007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:37Z", "type": "Journal Article", "created": "2009-12-11", "title": "The Hydrology Of Tropical Andean Ecosystems: Importance, Knowledge Status, And Perspectives", "description": "Open AccessCet article met en \u00e9vidence la valeur \u00e9conomique et \u00e9cologique des syst\u00e8mes de ressources en eau de la r\u00e9gion foresti\u00e8re de p\u00e1ramo et de montagne de l'\u00c9quateur et donne une description, bas\u00e9e sur une enqu\u00eate de la litt\u00e9rature r\u00e9cente, des m\u00e9canismes contr\u00f4lant le processus de ruissellement des pr\u00e9cipitations et de la fa\u00e7on dont les changements dans l'utilisation des terres modifient la transformation. L'examen r\u00e9v\u00e8le que la compr\u00e9hension disponible est partielle, le r\u00e9sultat d'efforts de recherche individuels et isol\u00e9s, et est entrav\u00e9e par un manque d'ensembles de donn\u00e9es complets et coh\u00e9rents \u00e0 long terme. Les connaissances disponibles ne permettent pas encore d'augmenter ou de r\u00e9duire l'\u00e9chelle des r\u00e9sultats. L'article conclut en (1) citant certaines des principales lacunes qui entravent la compr\u00e9hension hydrologique des \u00e9cosyst\u00e8mes andins tropicaux et (2) proposant des recommandations pour acc\u00e9l\u00e9rer la compr\u00e9hension et l'\u00e9laboration de politiques et de mesures visant \u00e0 garantir un d\u00e9veloppement \u00e9cologiquement s\u00fbr et durable des \u00e9cosyst\u00e8mes aquatiques fragiles de la r\u00e9gion andine tropicale de l'\u00c9quateur.", "keywords": ["Resource (disambiguation)", "0207 environmental engineering", "Optimal Operation of Water Resources Systems", "Ocean Engineering", "02 engineering and technology", "Environmental science", "Engineering", "Tropical forest", "Downscaling", "Climate change", "Hydro-Economic Models", "Environmental resource management", "Biology", "Ecosystem", "Water Science and Technology", "Computer network", "Geography", "Ecology", "15. Life on land", "Computer science", "6. Clean water", "Hydrological Modeling and Water Resource Management", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences"]}, "links": [{"href": "https://doi.org/10.1659/mrd.00007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mountain%20Research%20and%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1659/mrd.00007", "name": "item", "description": "10.1659/mrd.00007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1659/mrd.00007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-11-01T00:00:00Z"}}, {"id": "10.17169/refubium-31202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:38Z", "type": "Journal Article", "created": "2021-05-21", "title": "Global data on earthworm abundance, biomass, diversity and corresponding environmental properties", "description": "Abstract
Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.
", "keywords": ["2401.17 Invertebrados", "0301 basic medicine", "592", "Data Descriptor", "Ecology and Evolutionary Biology", "earthworms", "Data Descriptor ; Biodiversity ; Biogeography ; Community ecology", "Plan_S-Compliant-OA", "https://purl.org/becyt/ford/1.6", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Diversity data", "Biomass", "S Agriculture (General)", "Ekologia ja evoluutiobiologia", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "biodiversity", "2. Zero hunger", "maaper\u00e4", "abundance", "Data", "Diversity", "0303 health sciences", "Ecology", "Q", "eli\u00f6yhteis\u00f6t", "Biodiversity", "maaper\u00e4eli\u00f6st\u00f6", "ddc:", "Computer Science Applications", "Biogeography", "2401.06 Ecolog\u00eda animal", "international", "Statistics", " Probability and Uncertainty", "environment/Ecosystems", "Information Systems", "Statistics and Probability", "Ecolog\u00eda (Biolog\u00eda)", "570", "lierot", "Science", "Invertebrados", "577", "Global database", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Library and Information Sciences", "574", "333", "soil", "eli\u00f6maantiede", "Education", "diversity", "03 medical and health sciences", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "BIODIVERSITY CHANGE", "Life Science", "Earthworms", "Datasets", "Animals", "Community ecology", "Oligochaeta", "https://purl.org/becyt/ford/1", "eartworm", "biogeography", "Ecosystem", "LAND-USE", "biomass", "500", "Biology and Life Sciences", "PLATFORM", "Global dataset", "Oligochaeta/classification", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "Ecolog\u00eda", "15. Life on land", "biodiversiteetti", "Environmental sciences", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "maaper\u00e4el\u00e4imist\u00f6", "Ecology", " evolutionary biology", "13. Climate action", "Earthworm", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "570 Life sciences; biology", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "eartworm ; abundance ; biomass ; diversity", "COMMUNITIES", "community ecology"]}, "links": [{"href": "https://www.nature.com/articles/s41597-021-00912-z.pdf"}, {"href": "https://pub.epsilon.slu.se/25868/1/phillips_h_r_p_et_al_211019.pdf"}, {"href": "https://boris.unibe.ch/165726/1/48.__Global_data_on_earthworm_abundance__biomass__diversity_and_corresponding_environmental_properties.pdf"}, {"href": "https://www.iris.unict.it/bitstream/20.500.11769/509583/1/SCIENTIFIC%20DATA%20%282021%29%20GLOBAL%20DATA%20ON%20EARTHWORMS.pdf"}, {"href": "https://rau.repository.guildhe.ac.uk/id/eprint/16454/1/Phillips_et_al-2021-Scientific_Data.pdf"}, {"href": "https://doi.org/10.17169/refubium-31202"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17169/refubium-31202", "name": "item", "description": "10.17169/refubium-31202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17169/refubium-31202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-21T00:00:00Z"}}, {"id": "10.3929/ethz-b-000442910", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:17Z", "type": "Journal Article", "created": "2021-02-26", "title": "A local basis approximation approach for nonlinear parametric model order reduction", "description": "Open AccessJournal of Sound and Vibration, 502", "keywords": ["FOS: Computer and information sciences", "Parametric model order reduction (pMOR)", "Reduced order model", "Numerical Analysis (math.NA)", "Reduced bases interpolation", "01 natural sciences", "As-built as-deployed structures", "Nonlinear reduction", "Computational Engineering", " Finance", " and Science (cs.CE)", "As-built as-deployed structures; Parametric model order reduction (pMOR); Nonlinear reduction; Reduced bases interpolation", "Parametric modeling", "FOS: Mathematics", "nonlinear dynamical systems", "Mathematics - Numerical Analysis", "Reduced order model; nonlinear dynamical systems; Parametric modeling", "0101 mathematics", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://doi.org/10.3929/ethz-b-000442910"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Sound%20and%20Vibration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000442910", "name": "item", "description": "10.3929/ethz-b-000442910", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000442910"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-01T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-3607847/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:51Z", "type": "Journal Article", "created": "2023-11-15", "title": "Advancements in Biotransformation Pathway Prediction: Enhancements, Datasets, and Novel Functionalities in enviPath", "description": "enviPath is a widely used database and prediction system for microbial biotransformation pathways of primarily xenobiotic compounds. Data and prediction system are freely available both via a web interface and a public REST API. Since its initial release in 2016, we extended the data available in enviPath and improved the performance of the prediction system and usability of the overall system. We now provide three diverse data sets, covering microbial biotransformation in different environments and under different experimental conditions. This also enabled developing a pathway prediction model that is applicable to a more diverse set of chemicals. In the prediction engine, we implemented a new evaluation tailored towards pathway prediction, which returns a more honest and holistic view on the performance. We also implemented a novel applicability domain algorithm, which allows the user to estimate how well the model will perform on their data. Finally, we improved the implementation to speed up the overall system and provide new functionality via a plugin system. Overall, enviPath has developed into a reliable database and prediction system with a unique use case in research in microbial biotransformations.
", "keywords": ["10120 Department of Chemistry", "0301 basic medicine", "0303 health sciences", "Biodegradation database", "Information technology", "T58.5-58.64", "1704 Computer Graphics and Computer-Aided Design", "3. Good health", "Database", "Chemistry", "03 medical and health sciences", "Metabolic pathways", "540 Chemistry", "Machine learning", "1706 Computer Science Applications", "Biodegradation pathway prediction", "3309 Library and Information Sciences", "1606 Physical and Theoretical Chemistry", "QD1-999"]}, "links": [{"href": "https://doi.org/10.21203/rs.3.rs-3607847/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cheminformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-3607847/v1", "name": "item", "description": "10.21203/rs.3.rs-3607847/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-3607847/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-15T00:00:00Z"}}, {"id": "10.3389/fmech.2018.00018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:41Z", "type": "Journal Article", "created": "2018-11-20", "title": "The Role of Heat Transfer Limitations in Polymer Pyrolysis at the Microscale", "description": "Pyrolysis of synthetic or natural polymers is an important process in many industries such as fire safety, thermal recycling, and biomass power generation. The kinetics of pyrolysis is usually studied by thermogravimetric analysis (TGA), which is based on measuring the mass loss of a microscale sample and measuring the temperature of the surrounding fluid during controlled heating. The literature is rich in TGA measurements, which are often assumed to be governed solely by chemical kinetics. Heat and mass transfer effects, however, can occur when the sample mass is too large. Only a few studies in the literature quantify the threshold for the initial mass, above which heat transfer effects are significant. Here, we systematically analyse the role of heat transfer in TGA measurements, review existing formulations, and provide a novel threshold for the maximum sample mass. We focus on the natural polymer cellulose, a surrogate for biomass, and split the problem into heat transfer within the sample (intraparticle) and between the sample and the fluid (interparticle). Using dimensional analysis we derive two upper bound thresholds for the initial sample mass as a function of heating. One threshold is calculated based on interparticle heat transfer and depends on flow and heating conditions as well as material and fluid properties. The other is calculated based on intraparticle heat transfer and depends on heating conditions and material properties. Both thresholds were validated with measurements and previous studies from the literature. Comparing both thresholds shows that the maximum sample mass in a TGA is dictated by interparticle heat transfer and rapidly reduces with heating rate from 1.8 mg at 10 K/min to 0.15 mg at 50 K/min. These results enable the selection of appropriate sample masses and heating conditions in TGA measurements, which in turn will lead to a better understanding of polymer pyrolysis.", "keywords": ["TGA", "thermal lag", "Mechanical Engineering", "02 engineering and technology", "0915 Interdisciplinary Engineering", "chemistry", "7. Clean energy", "Industrial and Manufacturing Engineering", "cellulose", "Computer Science Applications", "0201 civil engineering", "12. Responsible consumption", "kinetics", "13. Climate action", "transport", "TJ1-1570", "General Materials Science", "Mechanical engineering and machinery", "0204 chemical engineering", "0913 Mechanical Engineering"], "contacts": [{"organization": "Richter, F, Rein, G,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3389/fmech.2018.00018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Mechanical%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmech.2018.00018", "name": "item", "description": "10.3389/fmech.2018.00018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmech.2018.00018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-20T00:00:00Z"}}, {"id": "10.3389/fmicb.2018.02141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:41Z", "type": "Journal Article", "created": "2018-09-12", "title": "Pierce's Disease of Grapevines: A Review of Control Strategies and an Outline of an Epidemiological Model", "description": "Xylella fastidiosa is a notorious plant pathogenic bacterium that represents a threat to crops worldwide. Its subspecies, Xylella fastidiosa subsp. fastidiosa is the causal agent of Pierce's disease of grapevines. Pierce's disease has presented a serious challenge for the grapevine industry in the United States and turned into an epidemic in Southern California due to the invasion of the insect vector Homalodisca vitripennis. In an attempt to minimize the effects of Xylella fastidiosa subsp. fastidiosa in vineyards, various studies have been developing and testing strategies to prevent the occurrence of Pierce's disease, i.e., prophylactic strategies. Research has also been undertaken to investigate therapeutic strategies to cure vines infected by Xylella fastidiosa subsp. fastidiosa. This report explicitly reviews all the strategies published to date and specifies their current status. Furthermore, an epidemiological model of Xylella fastidiosa subsp. fastidiosa is proposed and key parameters for the spread of Pierce's disease deciphered in a sensitivity analysis of all model parameters. Based on these results, it is concluded that future studies should prioritize therapeutic strategies, while investments should only be made in prophylactic strategies that have demonstrated promising results in vineyards.", "keywords": ["VECTOR TRANSMISSION", "0301 basic medicine", "VITRIPENNIS HEMIPTERA CICADELLIDAE", "GLASSY-WINGED SHARPSHOOTER", "PARATRANSGENIC CONTROL", "epidemiological model", "control strategies", "BACTERIUM XYLELLA-FASTIDIOSA", "Microbiology", "03 medical and health sciences", "HOT-WATER TREATMENT", "GONATOCERUS-ASHMEADI", "MOLECULAR CHARACTERIZATION", "Pierce's disease", "Xylella fastidiosa", "2. Zero hunger", "HOMALODISCA-COAGULATA HEMIPTERA", "0303 health sciences", "VITIS-VINIFERA L.", "15. Life on land", "QR1-502", "grapevine", "3. Good health", "[SDV] Life Sciences [q-bio]", "therapeutic", "prophylactic", "Homalodisca vitripennis", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2018.02141"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2018.02141", "name": "item", "description": "10.3389/fmicb.2018.02141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2018.02141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-12T00:00:00Z"}}, {"id": "10.24072/pcjournal.11", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:28Z", "type": "Journal Article", "created": "2020-11-10", "title": "Modelling the impact of the macroalgae Asparagopsis taxiformis on rumen microbial fermentation and methane production", "description": "AbstractBackgroundThe red macroalgae Asparagopsis taxiformis is a potent natural supplement for reducing methane production from cattle. A. taxiformis contains several anti-methanogenic compounds including bromoform that inhibits directly methanogenesis. The positive and adverse effects of A. taxiformis on the rumen microbiota are dose-dependent and operate in a dynamic fashion. It is therefore key to characterize the dynamic response of the rumen microbial fermentation for identifying optimal conditions on the use of A. taxiformis as a dietary supplement for methane mitigation. Accordingly, the objective of this work was to model the effect of A. taxiformis supplementation on the rumen microbial fermentation under in vitro conditions. We adapted a published mathematical model of rumen microbial fermentation to account for A. taxiformis supplementation. We modelled the impact of A. taxiformis on the fermentation and methane production by two mechanisms, namely (i) direct inhibition of the growth rate of methanogens by bromoform and (ii) hydrogen control on sugars utilization and on the flux allocation towards volatile fatty acids production. We calibrated our model using a multi-experiment estimation approach that integrated experimental data with six macroalgae supplementation levels from a published in vitro study assessing the dose-response impact of A. taxiformis on rumen fermentation.
Resultsour model captured satisfactorily the effect of A. taxiformis on the dynamic profile of rumen microbial fermentation for the six supplementation levels of A. taxiformis with an average determination coefficient of 0.88 and an average coefficient of variation of the root mean squared error of 15.2% for acetate, butyrate, propionate, ammonia and methane.
Conclusionsour results indicated the potential of our model as prediction tool for assessing the impact of additives such as seaweeds on the rumen microbial fermentation and methane production in vitro. Additional dynamic data on hydrogen and bromoform are required to validate our model structure and look for model structure improvements. We expect this model development can be useful to help the design of sustainable nutritional strategies promoting healthy rumen function and low environmental footprint.
", "keywords": ["570", "Asparagopsis taxiformis", "[SDV.BIO]Life Sciences [q-bio]/Biotechnology", "methane inhibitors", "Science", "rumen model", "630", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering", "rumen microbiota", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "greenhouse gas mitigation", " hydrogen control", " methane inhibitors", " methane mitigation", " red seaweed", " rumen fermentation", " rumen microbiota", " rumen model.", "[SDV.SA.SPA] Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "2. Zero hunger", "methane mitigation", "Q", "greenhouse gas mitigation", "0402 animal and dairy science", "04 agricultural and veterinary sciences", "15. Life on land", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "[SDV.BIO] Life Sciences [q-bio]/Biotechnology", "rumen fermentation", "Archaeology", "hydrogen control", "13. Climate action", "[SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "red seaweed", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "environment/Ecosystems", "[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering", "CC1-960"]}, "links": [{"href": "https://peercommunityjournal.org/item/10.24072/pcjournal.11.pdf"}, {"href": "https://doi.org/10.24072/pcjournal.11"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Peer%20Community%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24072/pcjournal.11", "name": "item", "description": "10.24072/pcjournal.11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24072/pcjournal.11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-09T00:00:00Z"}}, {"id": "10.31224/osf.io/r8xau", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:36Z", "type": "Journal Article", "created": "2021-09-02", "title": "Multi-Axial Hybrid Fire Testing based on Dynamic Relaxation", "description": "This technical note presents the experimental validation of a hybrid fire testing coordination algorithm recently developed by some of the authors. For the first time, the algorithm is applied to solve the static response of a multiple-degrees-of-freedom hybrid model.
", "keywords": ["Coordination algorithms", "Fire test", "Dynamic relaxation", "Computer science", "bepress|Engineering", "General Physics and Astronomy", "02 engineering and technology", "0201 civil engineering", "Control theory", "engrXiv|Engineering|Civil and Environmental Engineering", "0202 electrical engineering", " electronic engineering", " information engineering", "General Materials Science", "Safety", " Risk", " Reliability and Quality", "Partitioned time integration", "Hybrid fire testing", "engrXiv|Engineering|Civil and Environmental Engineering|Structural Engineering", "Technical note", "General Chemistry", "Experimental validation", "Hybrid fire testing; Dynamic relaxation; Partitioned time integration", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "Static response", "bepress|Engineering|Civil and Environmental Engineering|Structural Engineering", "Multi axial", "Hybrid model"]}, "links": [{"href": "https://doi.org/10.31224/osf.io/r8xau"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Fire%20Safety%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31224/osf.io/r8xau", "name": "item", "description": "10.31224/osf.io/r8xau", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31224/osf.io/r8xau"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-02T00:00:00Z"}}, {"id": "10.3233/978-1-61499-906-5-205", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:21:37Z", "type": "Report", "created": "2025-02-24", "title": "Toward a More Efficient Generation of Structured Argumentation Graphs", "description": "To address the needs of the EU NoAW project, in this paper we solve the problem of efficiently generating the argumentation graphs from knowledge bases expressed using existential rules. For the knowledge bases without rules, we provide a methodology that allows to optimise the generation of argumentation graphs. For knowledge bases with rules, we show how to filter out a large number of arguments and reduce the number of attacks.
", "keywords": ["[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]"]}, "links": [{"href": "https://doi.org/10.3233/978-1-61499-906-5-205"}, {"rel": "self", "type": "application/geo+json", "title": "10.3233/978-1-61499-906-5-205", "name": "item", "description": "10.3233/978-1-61499-906-5-205", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3233/978-1-61499-906-5-205"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.3233/faia200166", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:21:37Z", "type": "Report", "created": "2025-02-21", "title": "Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms", "description": "In this paper we consider a bipolar graph structure encoding conflicting knowledge with logic formulas. Gradual semantics provide a way to assign strength values in the unit interval to nodes (i.e. logical inference steps) in the bipolar graph. Here, we introduce a new class of semantics based on the notions of T-norms and T-conorms and show that they handle circular reasoning and satisfy desirable properties such as provability and rewriting.", "keywords": ["[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]", "[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]"], "contacts": [{"organization": "Jedwabny, Martin, Croitoru, Madalina, Bisquert, Pierre,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3233/faia200166"}, {"rel": "self", "type": "application/geo+json", "title": "10.3233/faia200166", "name": "item", "description": "10.3233/faia200166", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3233/faia200166"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.3233/978-1-61499-906-5-381", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:37Z", "type": "Report", "created": "2025-02-20", "title": "Viewpoints using ranking-based argumentation semantics", "description": "To address the needs of the EU NoAW project, in this paper we introduce a new modular framework that generates viewpoints (i.e. extensions) based on ranking argumentation semantics by considering a selection function, a ranking on arguments and a lifting function as its input parameters. We study the different combinations of the input parameters and introduce a set of postulates investigated for the framework's different classes of output.
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