{"type": "FeatureCollection", "features": [{"id": "10.1007/978-3-319-67443-8_22", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:04Z", "type": "Report", "created": "2017-10-12", "title": "Operational Damage Localization of Wind Turbine Blades", "description": "Open AccessISBN:978-3-319-67443-8", "keywords": ["Damage localization", "Wind turbines; Operational conditions; Damage localization; Principal component analysis; Mode shape curvatures", "Wind turbines", "Principal component analysis", "Mode shape curvatures", "02 engineering and technology", "Operational conditions", "7. Clean energy", "0201 civil engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-67443-8"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-67443-8_22"}, {"href": "https://doi.org/10.1007/978-3-319-67443-8_22"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-319-67443-8_22", "name": "item", "description": "10.1007/978-3-319-67443-8_22", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-319-67443-8_22"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-13T00:00:00Z"}}, {"id": "10.1007/s00248-003-9001-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:13Z", "type": "Journal Article", "created": "2004-06-15", "title": "Microbial Community Structure And Oxidative Enzyme Activity In Nitrogen-Amended North Temperate Forest Soils", "description": "Large regions of temperate forest are subject to elevated atmospheric nitrogen (N) deposition which can affect soil organic matter dynamics by altering mass loss rates, soil respiration, and dissolved organic matter production. At present there is no general model that links these responses to changes in the organization and operation of microbial decomposer communities. Toward that end, we studied the response of litter and soil microbial communities to high levels of N amendment (30 and 80 kg ha(-1) yr(-1)) in three types of northern temperate forest: sugar maple/basswood (SMBW), sugar maple/red oak (SMRO), and white oak/black oak (WOBO). We measured the activity of extracellular enzymes (EEA) involved directly in the oxidation of lignin and humus (phenol oxidase, peroxidase), and indirectly, through the production of hydrogen peroxide (glucose oxidase, glyoxal oxidase). Community composition was analyzed by extracting and quantifying phospholipid fatty acids (PLFA) from soils. Litter EEA responses at SMBW sites diverged from those at oak-bearing sites (SMRO, BOWO), but the changes were not statistically significant. For soil, EEA responses were consistent across forests types: phenol oxidase and peroxidase activities declined as a function of N dose (33-73% and 5-41%, respectively, depending on forest type); glucose oxidase and glyoxal oxidase activities increased (200-400% and 150-300%, respectively, depending on forest type). Principal component analysis (PCA) ordinated forest types and treatment responses along two axes; factor 1 (44% of variance) was associated with phenol oxidase and peroxidase activities, factor 2 (31%) with glucose oxidase. Microbial biomass did not respond to N treatment, but nine of the 23 PLFA that formed >1 mol% of total biomass showed statistically significant treatment responses. PCA ordinated forest types and treatment responses along three axes (36%, 26%, 12% of variance). EEA factors 1 and 2 correlated negatively with PLFA factor 1 ( r = -0.20 and -0.35, respectively, n = 108) and positively with PLFA factor 3 ( r = +0.36 and +0.20, respectively, n = 108). In general, EEA responses were more strongly tied to changes in bacterial PLFA than to changes in fungal PLFA. Collectively, our data suggests that N inhibition of oxidative activity involves more than the repression of ligninase expression by white-rot basidiomycetes.", "keywords": ["Michigan", "Nitrogen", "Science", "Ecology and Evolutionary Biology", "Nature Conservation", "Microbiology", "Trees", "Soil", "Geoecology/Natural Processes", "Health Sciences", "Cellular and Developmental Biology", "Ecosystem", "Phospholipids", "Soil Microbiology", "2. Zero hunger", "Analysis of Variance", "Principal Component Analysis", "Ecology", "Life Sciences", "Natural Resources and Environment", "Molecular", "04 agricultural and veterinary sciences", "15. Life on land", "Enzymes", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1007/s00248-003-9001-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microbial%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00248-003-9001-x", "name": "item", "description": "10.1007/s00248-003-9001-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00248-003-9001-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-04-19T00:00:00Z"}}, {"id": "10.1007/s00248-005-5156-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:13Z", "type": "Journal Article", "created": "2006-01-02", "title": "Microbial Responses To Long-Term N Deposition In A Semiarid Grassland", "description": "Nitrogen (N) enrichment of the biosphere is an expanding problem to which arid ecosystems may be particularly sensitive. In semiarid grasslands, scarce precipitation uncouples plant and microbial activities, and creates within the soil a spatial mosaic of rhizosphere and cyanobacterial crust communities. We investigated the impact of elevated N deposition on these soil microbial communities at a grama-dominated study site located incentral New Mexico (USA). The study plots were established in 1995 and receive 10 kg ha(-1) year(-1) of supplemental N in the form of NH(4)NO(3). Soil samples were collected in July 2004, following 2 years of severe drought, and again in March 2005 following a winter of record high precipitation. Soils were assayed for potential activities of 20 extracellular enzymes and N(2)O production. The rhizosphere and crust-associated soils had peptidase and peroxidase potentials that were extreme in relation to those of temperate soils. N addition enhanced glycosidase and phosphatase activities and depressed peptidase. In contrast to temperate forest soils, oxidative enzyme activity did not respond to N treatment. Across sampling dates, extracellular enzyme activity responses correlated with inorganic N concentrations. N(2)O generation did not vary significantly with soil cover or N treatment. Microbial responses to N deposition in this semiarid grassland were distinct from those of forest ecosystems and appear to be modulated by inorganic N accumulation, which is linked to precipitation patterns.", "keywords": ["2. Zero hunger", "Principal Component Analysis", "Ecology", "Nitrogen", "Climate", "beta-Glucosidase", "Nitrous Oxide", "04 agricultural and veterinary sciences", "15. Life on land", "Poaceae", "01 natural sciences", "Carbon", "6. Clean water", "Enzymes", "Trees", "Leucyl Aminopeptidase", "Soil", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Soil Microbiology", "Peroxidase", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s00248-005-5156-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microbial%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00248-005-5156-y", "name": "item", "description": "10.1007/s00248-005-5156-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00248-005-5156-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-01-01T00:00:00Z"}}, {"id": "10.1016/j.jplph.2012.02.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:31Z", "type": "Journal Article", "created": "2012-04-24", "title": "Drought Stress Has Contrasting Effects On Antioxidant Enzymes Activity And Phenylpropanoid Biosynthesis In Fraxinus Ornus Leaves: An Excess Light Stress Affair?", "description": "The experiment was conducted using Fraxinus ornus plants grown outside under full sunlight irradiance, and supplied with 100% (well-watered, WW), 40% (mild drought, MD), or 20% (severe drought, SD) of the daily evapotranspiration demand, with the main objective of exploring the effect of excess light stress on the activity of antioxidant enzymes and phenylpropanoid biosynthesis. Net CO\u2082 assimilation rate at saturating light and daily assimilated CO\u2082 were significantly smaller in SD than in WW and MD plants. Xanthophyll-cycle pigments supported nonphotochemical quenching to a significantly greater extent in SD than in MD and WW leaves. As a consequence, the actual efficiency of PSII (\u03a6(PSII)) was smaller, while the excess excitation-energy in the photosynthetic apparatus was greater in SD than in WW or MD plants. The concentrations of violaxanthin-cycle pigments relative to total chlorophyll (Chl(tot)) exceeded 200 mmol mol\u207b\u00b9 Chl(tot) in SD leaves at the end of the experiment. This leads to hypothesize for zeaxanthin a role not only as nonphotochemical quencher, but also as chloroplast antioxidant. Reductions in ascorbate peroxidase and catalase activities, as drought-stress progressed, were paralleled by greater accumulations of esculetin and quercetin 3-O-glycosides, both phenylpropanoids having effective capacity to scavenge H\u2082O\u2082. The drought-induced accumulation of esculetin and quercetin 3-O-glycosides in the vacuoles of mesophyll cells is consistent with their putative functions as reducing agents for H\u2082O\u2082 in excess light-stressed leaves. Nonetheless, the concentration of H\u2082O\u2082 and the lipid peroxidation were significantly greater in SD than in MD and WW leaves. It is speculated that vacuolar phenylpropanoids may constitute a secondary antioxidant system, even on a temporal basis, activated upon the depletion of primary antioxidant defences, and aimed at keeping whole-cell H\u2082O\u2082 within a sub-lethal concentration range.", "keywords": ["0301 basic medicine", "Analysis of Variance", "Principal Component Analysis", "0303 health sciences", "Time Factors", "Light", "Propanols", "Antioxidant enzymes Drought stress Phenylpropanoids Water relations Violaxanthin-cycle pigments", "Hydrogen Peroxide", "Pigments", " Biological", "Carbon Dioxide", "15. Life on land", "Antioxidants", "6. Clean water", "Antioxidant enzymes; Drought stress; Phenylpropanoids; Violaxanthin-cycle pigments; Water relations; Analysis of Variance; Antioxidants; Carbon Dioxide; Fraxinus; Hydrogen Peroxide; Malondialdehyde; Mesophyll Cells; Microscopy", " Fluorescence; Photosynthesis; Pigments", " Biological; Plant Leaves; Principal Component Analysis; Propanols; Stress", " Physiological; Time Factors; Droughts; Light; Plant Science; Physiology; Agronomy and Crop Science", "Droughts", "Plant Leaves", "03 medical and health sciences", "Fraxinus", "Microscopy", " Fluorescence", "Stress", " Physiological", "Antioxidant enzymes; drought stress; flavonoids", "Malondialdehyde", "Photosynthesis", "Mesophyll Cells"]}, "links": [{"href": "https://doi.org/10.1016/j.jplph.2012.02.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jplph.2012.02.014", "name": "item", "description": "10.1016/j.jplph.2012.02.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jplph.2012.02.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-07-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2012.11.052", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:39Z", "type": "Journal Article", "created": "2012-12-07", "title": "Characterization Of Soil Bacterial Community Structure And Physicochemical Properties In Created And Natural Wetlands", "description": "We used multi-tag pyrosequencing of 16S ribosomal DNA to characterize bacterial communities of wetland soils collected from created and natural wetlands located in the Virginia piedmont. Soils were also evaluated for their physicochemical properties [i.e., percent moisture, pH, soil organic matter (SOM), total organic carbon (TOC), total nitrogen (TN), and C:N ratio]. Soil moisture varied from 15% up to 55% among the wetlands. Soil pH ranged between 4.2 and 5.8, showing the typical characteristic of acidic soils in the Piedmont region. Soil organic matter contents ranged from 3% up to 6%. Soil bacterial community structures and their differences between the wetlands were distinguished by pyrosequencing. Soil bacterial communities in the created wetlands were less dissimilar to each other than to those of either natural wetland, with little difference in diversity (Shannon's H') between created and natural wetlands, except one natural wetland consistently showing a lower H'. The greatest difference of bacterial community structure was observed between the two natural wetlands (R=0.937, p<0.05), suggesting these two natural wetlands were actually quite different reflecting differences in their soil physicochemistry. The major phylogenic groups of all soils included Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Firmicutes, Gemmatinomadetes, Nitrospira, and Proteobacteria with Proteobacteria being the majority of the community composition. Acidobacteria group was more abundant in natural wetlands than in created wetlands. We found a significant association between bacterial community structures and physicochemical properties of soils such as C:N ratio (\u03c1=0.43, p<0.01) and pH (\u03c1=0.39, p<0.01). The outcomes of the study show that the development of ecological functions, mostly mediated by microbial communities, is connected with the development of soil properties in created wetlands. Soil properties should be carefully monitored to examine the progress of functional wetland mitigation.", "keywords": ["Principal Component Analysis", "Bacteria", "RNA", " Ribosomal", " 16S", "Wetlands", "15. Life on land", "Polymerase Chain Reaction", "01 natural sciences", "Soil Microbiology", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2012.11.052"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2012.11.052", "name": "item", "description": "10.1016/j.scitotenv.2012.11.052", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2012.11.052"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1039/c8an01387j", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:46Z", "type": "Journal Article", "created": "2018-10-19", "title": "The in vivo effects of silver nanoparticles on terrestrial isopods, Porcellio scaber , depend on a dynamic interplay between shape, size and nanoparticle dissolution properties", "description": "<p>The effects of exposure to low concentrations of AgNPs in model tissue, are the result of the interplay between size, shape and dissolution of ions from NPs.</p>", "keywords": ["[PHYS]Physics [physics]", "Male", "0301 basic medicine", "570", "Microscopy", "Principal Component Analysis", "Silver", "Metal Nanoparticles", "540", "01 natural sciences", "03 medical and health sciences", "Solubility", "Spectroscopy", " Fourier Transform Infrared", "Animals", "Female", "Intestinal Mucosa", "Particle Size", "Isopoda", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2019/AN/C8AN01387J"}, {"href": "https://doi.org/10.1039/c8an01387j"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Analyst", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c8an01387j", "name": "item", "description": "10.1039/c8an01387j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c8an01387j"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1038/s41598-021-02302-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:42Z", "type": "Journal Article", "created": "2021-11-30", "title": "Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections", "description": "Abstract<p>Tomato is an important commercial product which is perishable by nature and highly susceptible to fungal incidence once it is harvested. Not all tomatoes are equally vulnerable to pathogenic fungi, and an early detection of the vulnerable ones can help in taking timely preventive actions, ranging from isolating tomato batches to adjusting storage conditions, but also in making right business decisions like dynamic pricing based on quality or better shelf life estimate. More importantly, early detection of vulnerable produce can help in taking timely actions to minimize potential post-harvest losses. This paper investigates Near-infrared (NIR) hyperspectral imaging (1000\uffe2\uff80\uff931700\uffc2\uffa0nm) and machine learning to build models to automatically predict the susceptibility of sepals of recently harvested tomatoes to future fungal infections. Hyperspectral images of newly harvested tomatoes (cultivar Brioso) from 5 different growers were acquired before the onset of any visible fungal infection. After imaging, the tomatoes were placed under controlled conditions suited for fungal germination and growth for a 4-day period, and then imaged using normal color cameras. All sepals in the color images were ranked for fungal severity using crowdsourcing, and the final severity of each sepal was fused using principal component analysis. A novel hyperspectral data processing pipeline is presented which was used to automatically segment the tomato sepals from spectral images with multiple tomatoes connected via a truss. The key modelling question addressed in this research is whether there is a correlation between the hyperspectral data captured at harvest and the fungal infection observed 4 days later. Using 10-fold and group k-fold cross-validation, XG-Boost and Random Forest based regression models were trained on the features derived from the hyperspectral data corresponding to each sepal in the training set and tested on hold out test set. The best model found a Pearson correlation of 0.837, showing that there is strong linear correlation between the NIR spectra and the future fungal severity of the sepal. The sepal specific predictions were aggregated to predict the susceptibility of individual tomatoes, and a correlation of 0.92 was found. Besides modelling, focus is also on model interpretation, particularly to understand which spectral features are most relevant to model prediction. Two approaches to model interpretation were explored, feature importance and SHAP (SHapley Additive exPlanations), resulting in similar conclusions that the NIR range between 1390\uffe2\uff80\uff931420\uffc2\uffa0nm contributes most to the model\uffe2\uff80\uff99s final decision.</p", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "0301 basic medicine", "Principal Component Analysis", "0303 health sciences", "Spectroscopy", " Near-Infrared", "Science", "Q", "R", "Reproducibility of Results", "Microbiology", "Article", "Pattern Recognition", " Automated", "Machine Learning", "03 medical and health sciences", "Deep Learning", "Solanum lycopersicum", "Fruit", "Calibration", "Life Science", "Medicine", "Algorithms", "Software", "Plant Diseases"]}, "links": [{"href": "https://www.nature.com/articles/s41598-021-02302-2.pdf"}, {"href": "https://doi.org/10.1038/s41598-021-02302-2"}, {"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/s41598-021-02302-2", "name": "item", "description": "10.1038/s41598-021-02302-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-021-02302-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10.1038/srep14378", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:44Z", "type": "Journal Article", "created": "2015-09-23", "title": "Effects Of Nitrogen And Phosphorus Additions On Soil Microbial Biomass And Community Structure In Two Reforested Tropical Forests", "description": "Abstract<p>Elevated nitrogen (N) deposition may aggravate phosphorus (P) deficiency in forests in the warm humid regions of China. To our knowledge, the interactive effects of long-term N deposition and P availability on soil microorganisms in tropical replanted forests remain unclear. We conducted an N and P manipulation experiment with four treatments: control, N addition (15\uffe2\uff80\uff89g N m\uffe2\uff88\uff922\uffc2\uffb7yr\uffe2\uff88\uff921), P addition (15\uffe2\uff80\uff89g P m\uffe2\uff88\uff922\uffc2\uffb7yr\uffe2\uff88\uff921) and N and P addition (15\uffe2\uff80\uff89+\uffe2\uff80\uff8915\uffe2\uff80\uff89g N and P m\uffe2\uff88\uff922\uffc2\uffb7yr\uffe2\uff88\uff921, respectively) in disturbed (planted pine forest with recent harvests of understory vegetation and litter) and rehabilitated (planted with pine, but mixed with broadleaf returning by natural succession) forests in southern China. Nitrogen addition did not significantly affect soil microbial biomass, but significantly decreased the abundance of gram-negative bacteria PLFAs in both forest types. Microbial biomass increased significantly after P addition in the disturbed forest but not in the rehabilitated forest. No interactions between N and P additions on soil microorganisms were observed in either forest type. Our results suggest that microbial growth in replanted forests of southern China may be limited by P rather than by N and this P limitation may be greater in disturbed forests.</p>", "keywords": ["China", "Principal Component Analysis", "Nitrates", "Rainforest", "Nitrogen", "Microbiota", "Fatty Acids", "Forestry", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "Gram-Positive Bacteria", "Article", "Carbon Cycle", "Phosphates", "Multidisciplinary Sciences", "Soil", "Gram-Negative Bacteria", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Fertilizers", "Ecosystem", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1038/srep14378"}, {"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/srep14378", "name": "item", "description": "10.1038/srep14378", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/srep14378"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-23T00:00:00Z"}}, {"id": "10.1039/d1ra03337a", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:46Z", "type": "Journal Article", "created": "2021-09-10", "title": "Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease", "description": "<p>Extensive application of clustering and classification algorithms shows the potential of a CNT-based sensor array in breathomics.</p>", "keywords": ["electronic nose", "Linear discriminant analysis", "Principal component analysis", "Breath analysis", "02 engineering and technology", "sensors", "Supported Vectror Machine", "01 natural sciences", "nanotubes", "Ammonia; Biomarkers; Carbon nanotubes; Classification (of information); Clustering algorithms; Molecules; Nitrogen oxides; Principal component analysis; Sulfur compounds; Support vector machines", "0104 chemical sciences", "3. Good health", "breathomics", "Chemistry", "SWCNTs", "COPD", "ta318", "e-nose", "0210 nano-technology", "ta215"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/536855/1/RSC%20Adv._2021.pdf"}, {"href": "https://boa.unimib.it/bitstream/10281/517427/2/d1ra03337a.pdf%3b"}, {"href": "https://publicatt.unicatt.it/bitstream/10807/190102/1/d1ra03337a.pdf"}, {"href": "http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA03337A"}, {"href": "https://doi.org/10.1039/d1ra03337a"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/RSC%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/d1ra03337a", "name": "item", "description": "10.1039/d1ra03337a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/d1ra03337a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1080/17435390.2025.2453576", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:12Z", "type": "Journal Article", "created": "2025-01-22", "title": "Probing the effects of dextran-coated CeO             2             nanoparticles on lung fibroblasts using multivariate single-cell Raman spectroscopy", "description": "In this study, we investigated the cytotoxic effect of highly soluble dextran-coated CeO<sub>2</sub> nanoparticles on human fetal lung fibroblasts MRC-5. We examined individual nanoparticle-treated cells by Raman spectroscopy and analyzed Raman spectra using non-negative principal component analysis and k-means clustering. In this way, we determined dose-dependent differences between treated cells, which were reflected through the intensity change of lipid, phospholipid and RNA-related Raman modes. Performing standard biological tests for cell growth, viability and induction of apoptosis in parallel, these changes were correlated with nanoparticle-induced apoptotic processes. The cells with specific spectral characteristics, referring to non-apoptotic, but possibly autophagic cell death modality, were also detected. Additionally, Raman imaging combined with principal component and vertex component analysis was used to map the spatial distribution of biological molecules in treated and untreated cells. This work provided the description of different resulting states of the treated cells depending on the dextran-coated CeO<sub>2</sub> nanoparticles dose, which can be later used in the design of the nanoparticles for industrial or medical applications. The wide content of information resulting from single-cell Raman spectroscopy has the potential to detect biochemical changes caused by nanoparticles that would otherwise require a series of expensive and time-consuming standard biological techniques.", "keywords": ["PCA", "Principal Component Analysis", "Cell Survival", "Metal Nanoparticles", "Dextrans", "Apoptosis", "Cerium", "Fibroblasts", "Spectrum Analysis", " Raman", "VCA", "Cell Line", "Raman spectroscopy", "MRC-5 fibroblasts", "Humans", "Nanoparticles", "Single-Cell Analysis", "Lung", "CeO2"], "contacts": [{"organization": "Mi\u0107evi\u0107, Mirjana, Sonja, \u0106alija, Koricanac, Lela, \u017dakula, Jelena, Viloti\u0107, Aleksandra, Radovic, Marko, Golic, Igor, Korac, Aleksandra, Nacka-Aleksi\u0107, Mirjana, Stojadinovic, Bojan, Doh\u010devi\u0107-Mitrovi\u0107, Zorana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1080/17435390.2025.2453576"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nanotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/17435390.2025.2453576", "name": "item", "description": "10.1080/17435390.2025.2453576", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/17435390.2025.2453576"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-02T00:00:00Z"}}, {"id": "10.1093/treephys/tpr121", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:21Z", "type": "Journal Article", "created": "2011-12-07", "title": "Leaf-Trait Responses To Irrigation Of The Endemic Fog-Oasis Tree Myrcianthes Ferreyrae: Can A Fog Specialist Benefit From Regular Watering?", "description": "Myrcianthes ferreyrae is an endemic, endangered species, with a small number of individuals located only in hyperarid, fog-oases known as lomas along the Peruvian desert in southern Peru, where fog is the main source of water. Following centuries of severe deforestation, reforestation with this native species was conducted in the Atiquipa lomas, Arequipa-Per\u00fa. On five slopes, five 2-year-old seedlings were irrigated monthly with water trapped by raschel-mesh fog collectors, supplementing natural rainfall with 0, 20, 40, 60 and 80 mm month(-1) from February to August 2008. We measured plant growth, increment in basal diameter, height and five leaf traits: leaf mass area (LMA), leaf carbon isotope composition (\u03b4(13)C), nitrogen per leaf area, total leaf carbon and stomatal density; which are indicative of the physiological changes resulting from increased water supply. Plant growth rates, estimated from the variation of either shoot basal diameter or maximum height, were highly correlated with total biomass. Only LMA and \u03b4(13)C were higher in irrigated than in control plants, but we found no further differences among irrigation treatments. This threshold response suggests an on-off strategy fitted to exploit pulses of fog water, which are always limited in magnitude in comparison with natural rain. The absence of a differential response to increased water supply is in agreement with the low phenotypic plasticity expected in plants from very stressful environments. Our results have practical implications for reforestation projects, since irrigating with 20 mm per month is sufficient to achieve the full growth capacity of this species.", "keywords": ["0106 biological sciences", "Carbon Isotopes", "Principal Component Analysis", "Agricultural Irrigation", "Geography", "Water", "15. Life on land", "01 natural sciences", "Statistics", " Nonparametric", "6. Clean water", "Trees", "Plant Leaves", "Quantitative Trait", " Heritable", "Multivariate Analysis", "Peru", "Plant Stomata", "Biomass", "Weather"]}, "links": [{"href": "https://doi.org/10.1093/treephys/tpr121"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tree%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/treephys/tpr121", "name": "item", "description": "10.1093/treephys/tpr121", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/treephys/tpr121"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-12-05T00:00:00Z"}}, {"id": "10.1371/journal.pone.0038858", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:26Z", "type": "Journal Article", "created": "2012-06-11", "title": "Decline In Topsoil Microbial Quotient, Fungal Abundance And C Utilization Efficiency Of Rice Paddies Under Heavy Metal Pollution Across South China", "description": "Open AccessLos suelos agr\u00edcolas han estado cada vez m\u00e1s sujetos a la contaminaci\u00f3n por metales pesados en todo el mundo. Sin embargo, los impactos en la estructura y actividad de la comunidad microbiana del suelo de los suelos de campo a\u00fan no se han caracterizado bien. En 2009 se recolectaron muestras de tierra vegetal de campos de arroz contaminados con metales pesados (PS) y sus campos de fondo (BGS) en cuatro sitios del sur de China. Los cambios con la contaminaci\u00f3n met\u00e1lica en relaci\u00f3n con el BGS en el tama\u00f1o y la estructura de la comunidad de los microorganismos del suelo se examinaron con m\u00faltiples ensayos microbiol\u00f3gicos de medici\u00f3n de carbono de biomasa (MBC) y nitr\u00f3geno (MBN), recuento en placa de colonias cultivables y an\u00e1lisis de \u00e1cidos grasos fosfol\u00edpidos (PLFA) junto con el perfil de electroforesis en gel de gradiente desnaturalizante (DGGE) del gen de ARNr 16S y ARNr 18S y ensayo de PCR en tiempo real. Adem\u00e1s, se llev\u00f3 a cabo una incubaci\u00f3n de laboratorio de 7 d\u00edas a una temperatura constante de 25 \u00b0C para realizar un seguimiento adicional de los cambios en la actividad metab\u00f3lica. Si bien la disminuci\u00f3n de la contaminaci\u00f3n por metales en MBC y MBN, as\u00ed como en el tama\u00f1o de la poblaci\u00f3n cultivable, el contenido total de PLFA y el n\u00famero de bandas DGGE de bacterias no se observaron de manera significativa y consistente, de hecho se observ\u00f3 una reducci\u00f3n significativa de la contaminaci\u00f3n por metales en el cociente microbiano, en el tama\u00f1o de la poblaci\u00f3n f\u00fangica cultivable y en la proporci\u00f3n de PLFA f\u00fangicos a bacterianos de manera consistente en todos los sitios en una medida que var\u00eda de 6% a 74%. Adem\u00e1s, se observ\u00f3 un aumento consistentemente significativo en el cociente metab\u00f3lico de hasta un 68% bajo contaminaci\u00f3n en todos los sitios. Estas observaciones apoyaron un cambio de la comunidad microbiana con disminuci\u00f3n en su abundancia, disminuci\u00f3n en la proporci\u00f3n de hongos y, por lo tanto, en la eficiencia de utilizaci\u00f3n de C bajo contaminaci\u00f3n en los suelos. Adem\u00e1s, las proporciones de cociente microbiano, de hongos a bacterias y qCO2 son mejores indicativas de los impactos de los metales pesados en la estructura y actividad de la comunidad microbiana. Los efectos potenciales de estos cambios en el ciclo del carbono y la producci\u00f3n de CO2 en los arrozales contaminados merecen m\u00e1s estudios de campo.", "keywords": ["Microbial population biology", "Colony Count", " Microbial", "Agricultural and Biological Sciences", "Sociology", "Soil water", "Soil Pollutants", "Soil Microbiology", "2. Zero hunger", "Principal Component Analysis", "Temperature gradient gel electrophoresis", "Ecology", "Q", "Fatty Acids", "R", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Biota", "Pollution", "6. Clean water", "FOS: Sociology", "Chemistry", "Physical Sciences", "Environmental chemistry", "Medicine", "Research Article", "Environmental Monitoring", "16S ribosomal RNA", "China", "Microorganism", "Environmental Impact of Heavy Metal Contamination", "Nitrogen", "Science", "Population", "Soil Science", "Real-Time Polymerase Chain Reaction", "Environmental science", "Microbial Ecology", "12. Responsible consumption", "Metals", " Heavy", "Genetics", "Biology", "Demography", "Bacteria", "Denaturing Gradient Gel Electrophoresis", "Marine Microbial Diversity and Biogeography", "Oryza", "15. Life on land", "Topsoil", "Carbon", "Agronomy", "RNA", " Ribosomal", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0038858"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0038858", "name": "item", "description": "10.1371/journal.pone.0038858", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0038858"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-06-11T00:00:00Z"}}, {"id": "10.1371/journal.pone.0099385", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:19:27Z", "type": "Journal Article", "created": "2014-06-11", "title": "Effects Of Fertilization And Clipping On Carbon, Nitrogen Storage, And Soil Microbial Activity In A Natural Grassland In Southern China", "description": "Grassland managements can affect carbon (C) and nitrogen (N) storage in grassland ecosystems with consequent feedbacks to climate change. We investigated the impacts of compound fertilization and clipping on grass biomass, plant and soil (0-20 cm depth) C, N storage, plant and soil C: N ratios, soil microbial activity and diversity, and C, N sequestration rates in grassland in situ in the National Dalaoling Forest Park of China beginning July, 2011. In July, 2012, the fertilization increased total biomass by 30.1%, plant C by 34.5%, plant N by 79.8%, soil C by 18.8% and soil N by 23.8% compared with the control, respectively. Whereas the clipping decreased total biomass, plant C and N, soil C and N by 24.9%, 30.3%, 39.3%, 18.5%, and 19.4%, respectively, when compared to the control. The plant C: N ratio was lower for the fertilization than for the control and the clipping treatments. The soil microbial activity and diversity indices were higher for the fertilization than for the control. The clipping generally exhibited a lower level of soil microbial activity and diversity compared to the control. The principal component analysis indicated that the soil microbial communities of the control, fertilization and clipping treatments formed three distinct groups. The plant C and N sequestration rates of the fertilization were significantly higher than the clipping treatment. Our results suggest that fertilization is an efficient management practice in improving the C and N storage of the grassland ecosystem via increasing the grass biomass and soil microbial activity and diversity.", "keywords": ["2. Zero hunger", "China", "Principal Component Analysis", "Bacteria", "Nitrogen", "Science", "Q", "R", "Color", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Plant Roots", "Carbon", "6. Clean water", "13. Climate action", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Fertilizers", "Plant Shoots", "Soil Microbiology", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0099385"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0099385", "name": "item", "description": "10.1371/journal.pone.0099385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0099385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-06-10T00:00:00Z"}}, {"id": "10.1371/journal.pone.0149949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:28Z", "type": "Journal Article", "created": "2016-02-29", "title": "Cacao Cultivation Under Diverse Shade Tree Cover Allows High Carbon Storage And Sequestration Without Yield Losses", "description": "One of the main drivers of tropical forest loss is their conversion to oil palm, soy or cacao plantations with low biodiversity and greatly reduced carbon storage. Southeast Asian cacao plantations are often established under shade tree cover, but are later converted to non-shaded monocultures to avoid resource competition. We compared three co-occurring cacao cultivation systems (3 replicate stands each) with different shade intensity (non-shaded monoculture, cacao with the legume Gliricidia sepium shade trees, and cacao with several shade tree species) in Sulawesi (Indonesia) with respect to above- and belowground biomass and productivity, and cacao bean yield. Total biomass C stocks (above- and belowground) increased fivefold from the monoculture to the multi-shade tree system (from 11 to 57 Mg ha-1), total net primary production rose twofold (from 9 to 18 Mg C ha-1 yr-1). This increase was associated with a 6fold increase in aboveground biomass, but only a 3.5fold increase in root biomass, indicating a clear shift in C allocation to aboveground tree organs with increasing shade for both cacao and shade trees. Despite a canopy cover increase from 50 to 93%, cacao bean yield remained invariant across the systems (variation: 1.1-1.2 Mg C ha-1 yr-1). The monocultures had a twice as rapid leaf turnover suggesting that shading reduces the exposure of cacao to atmospheric drought, probably resulting in greater leaf longevity. Thus, contrary to general belief, cacao bean yield does not necessarily decrease under shading which seems to reduce physical stress. If planned properly, cacao plantations under a shade tree cover allow combining high yield with benefits for carbon sequestration and storage, production system stability under stress, and higher levels of animal and plant diversity.", "keywords": ["0301 basic medicine", "Carbon Sequestration", "Science", "Forests", "Plant Roots", "Trees", "sfb990_journalarticles", "Soil", "03 medical and health sciences", "Biomass", "2. Zero hunger", "Cacao", "Principal Component Analysis", "Geography", "Q", "R", "Agriculture", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "Indonesia", "Linear Models", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Plant Shoots", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0149949"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0149949", "name": "item", "description": "10.1371/journal.pone.0149949", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0149949"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-29T00:00:00Z"}}, {"id": "10.3389/fmicb.2021.758702", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:42Z", "type": "Journal Article", "created": "2021-10-04", "title": "Isolation, Identification, and Selection of Bacteria With Proof-of-Concept for Bioaugmentation of Whitewater From Wood-Free Paper Mills", "description": "<p>In the wood-free paper industry, whitewater is usually a mixture of additives for paper production. We are currently lacking an efficient, cost-effective purification technology for their removal. In closed whitewater cycles the additives accumulate, causing adverse production problems, such as the formation of slime and pitch. The aim of our study was to find an effective bio-based strategy for whitewater treatment using a selection of indigenous bacterial isolates. We first obtained a large collection of bacterial isolates and then tested them individually by simple plate and spectrophotometric methods for their ability to degrade the papermaking additives, i.e., carbohydrates, resin acids, alkyl ketene dimers, polyvinyl alcohol, latex, and azo and fluorescent dyes. We examined correlation between carbon source use, genera, and inoculum source of isolates using two multivariate methods: principal component analysis and FreeViz projection. Of the 318 bacterial isolates, we selected a consortium of four strains (Xanthomonadales bacterium sp. CST37-CF, Sphingomonas sp. BLA14-CF, Cellulosimicrobium sp. AKD4-BF and Aeromonas sp. RES19-BTP) that degrade the entire spectrum of tested additives by means of dissolved organic carbon measurements. A proof-of-concept study on a pilot scale was then performed by immobilizing the artificial consortium of the four strains and inserting them into a 33-liter, tubular flow-through reactor with a retention time of &amp;lt; 15 h. The consortium caused an 88% reduction in the COD of the whitewater, even after 21 days.</p", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "principal component analysis", "environmental microbiology", "azo dye", "whitewater", "Aeromonas", " azo dye", " bioaugmentation", " principal component analysis", " environmental microbiology", " whitewater", "Aeromonas", "bioaugmentation", "Microbiology", "QR1-502", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2021.758702"}, {"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.2021.758702", "name": "item", "description": "10.3389/fmicb.2021.758702", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2021.758702"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-14T00:00:00Z"}}, {"id": "10.3390/land11010055", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:54Z", "type": "Journal Article", "created": "2022-01-04", "title": "A Multivariate Approach to Evaluate Reduced Tillage Systems and Cover Crop Sustainability", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The evaluation of the effects of conservation agriculture during the transition from conventional tillage to no-tillage requires numerous indicators to be considered. For this purpose, we monitored changes in a multi-parameter dataset during a three-year experiment that combined three tillage intensities (conventional tillage\u2014CT; minimum tillage\u2014MT; and no tillage\u2014NT) with three soil covering managements (tillage radish cover crop, winter wheat cover crop and bare soil). Using a multivariate analysis, we developed a Relative Sustainability Index (RSI) based on 11 physical (e.g., bulk density and penetration resistance), chemical (e.g., soil organic carbon and pH) and biological soil properties (e.g., earthworm density) to evaluate cropping systems sustainability. The RSI was most affected by tillage intensity showing higher RSI values (i.e., better performances) in reduced tillage systems. Specifically, the RSI under NT was 42% greater than that of CT and 13% greater than that of MT. Soil covering had little impact on the RSI. Among the tested parameters, the RSI was increased most by saturated hydraulic conductivity (+193%) and earthworm density (+339%) across CT and NT treatments. Our results suggest that conservation agriculture and, particularly, reduced tillage systems, have the potential to increase farm environmental and agronomic sustainability.</p></article>", "keywords": ["2. Zero hunger", "principal component analysis", "S", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "soil quality index", "6. Clean water", "12. Responsible consumption", "conservation agriculture", "no tillage", "minimum tillage", "scoring function", "0401 agriculture", " forestry", " and fisheries", "conservation agriculture; no tillage; minimum tillage; principal component analysis; soil quality index; scoring function"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/1/55/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3462062/1/land-11-00055-v2.pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/1/55/pdf"}, {"href": "https://doi.org/10.3390/land11010055"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11010055", "name": "item", "description": "10.3390/land11010055", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11010055"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-31T00:00:00Z"}}, {"id": "10.7712/120217.5379.16904", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:19Z", "type": "Journal Article", "created": "2017-10-03", "title": "MUTLISCALE SURROGATE MODELING AND UNCERTAINTY QUANTIFICATION FOR PERIODIC COMPOSITE STRUCTURES", "description": "Open AccessAppeared in UNCECOMP 2017", "keywords": ["Computational Engineering", " Finance", " and Science (cs.CE)", "FOS: Computer and information sciences", "Principal Component Analysis", "Polynomial Chaos Expansions; Asymptotic Expansion Homogenization; Composite Analysis; Principal Component Analysis; Random Microstructure", "Computer Science - Computational Engineering", " Finance", " and Science", "Asymptotic Expansion Homogenization", "Composite Analysis", "Polynomial Chaos Expansions", "Random Microstructure"], "contacts": [{"organization": "Mylonas, Charilaos, Valentin, Bemetz, Chatzi, Eleni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7712/120217.5379.16904"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%202nd%20International%20Conference%20on%20Uncertainty%20Quantification%20in%20Computational%20Sciences%20and%20Engineering%20%28UNCECOMP%202017%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7712/120217.5379.16904", "name": "item", "description": "10.7712/120217.5379.16904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7712/120217.5379.16904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10807/190102", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:43Z", "type": "Journal Article", "created": "2021-09-10", "title": "Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Extensive application of clustering and classification algorithms shows the potential of a CNT-based sensor array in breathomics.</p></article>", "keywords": ["electronic nose", "Linear discriminant analysis", "Chemistry", " Multidisciplinary", "Principal component analysis", "02 engineering and technology", "VOLATILE ORGANIC-COMPOUNDS", "sensors", "Supported Vectror Machine", "01 natural sciences", "nanotubes", "E-NOSE", "breathomics", "THIN-FILMS", "SWCNTs", "RANDOM NETWORKS", "COPD", "ta318", "e-nose", "ta215", "WALLED CARBON NANOTUBES", "Science & Technology", "Breath analysis", "SWCNT SENSOR", "34 Chemical sciences", "Ammonia; Biomarkers; Carbon nanotubes; Classification (of information); Clustering algorithms; Molecules; Nitrogen oxides; Principal component analysis; Sulfur compounds; Support vector machines", "0104 chemical sciences", "3. Good health", "Chemistry", "ROOM-TEMPERATURE", "AMMONIA SENSOR", "Physical Sciences", "NO2 DETECTION", "03 Chemical Sciences", "0210 nano-technology", "RESISTIVE SENSORS"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/536855/1/RSC%20Adv._2021.pdf"}, {"href": "https://boa.unimib.it/bitstream/10281/517427/2/d1ra03337a.pdf%3b"}, {"href": "https://publicatt.unicatt.it/bitstream/10807/190102/1/d1ra03337a.pdf"}, {"href": "http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA03337A"}, {"href": "https://doi.org/10807/190102"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/RSC%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10807/190102", "name": "item", "description": "10807/190102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10807/190102"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "11577/3462062", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:51Z", "type": "Journal Article", "created": "2022-01-03", "title": "A Multivariate Approach to Evaluate Reduced Tillage Systems and Cover Crop Sustainability", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The evaluation of the effects of conservation agriculture during the transition from conventional tillage to no-tillage requires numerous indicators to be considered. For this purpose, we monitored changes in a multi-parameter dataset during a three-year experiment that combined three tillage intensities (conventional tillage\u2014CT; minimum tillage\u2014MT; and no tillage\u2014NT) with three soil covering managements (tillage radish cover crop, winter wheat cover crop and bare soil). Using a multivariate analysis, we developed a Relative Sustainability Index (RSI) based on 11 physical (e.g., bulk density and penetration resistance), chemical (e.g., soil organic carbon and pH) and biological soil properties (e.g., earthworm density) to evaluate cropping systems sustainability. The RSI was most affected by tillage intensity showing higher RSI values (i.e., better performances) in reduced tillage systems. Specifically, the RSI under NT was 42% greater than that of CT and 13% greater than that of MT. Soil covering had little impact on the RSI. Among the tested parameters, the RSI was increased most by saturated hydraulic conductivity (+193%) and earthworm density (+339%) across CT and NT treatments. Our results suggest that conservation agriculture and, particularly, reduced tillage systems, have the potential to increase farm environmental and agronomic sustainability.</p></article>", "keywords": ["2. Zero hunger", "principal component analysis", "S", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "soil quality index", "6. Clean water", "12. Responsible consumption", "conservation agriculture", "no tillage", "minimum tillage", "scoring function", "0401 agriculture", " forestry", " and fisheries", "conservation agriculture; no tillage; minimum tillage; principal component analysis; soil quality index; scoring function"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/1/55/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3462062/1/land-11-00055-v2.pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/1/55/pdf"}, {"href": "https://doi.org/11577/3462062"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11577/3462062", "name": "item", "description": "11577/3462062", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11577/3462062"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-31T00:00:00Z"}}, {"id": "3111338726", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:25:57Z", "type": "Journal Article", "created": "2021-10-04", "title": "Isolation, Identification, and Selection of Bacteria With Proof-of-Concept for Bioaugmentation of Whitewater From Wood-Free Paper Mills", "description": "<p>In the wood-free paper industry, whitewater is usually a mixture of additives for paper production. We are currently lacking an efficient, cost-effective purification technology for their removal. In closed whitewater cycles the additives accumulate, causing adverse production problems, such as the formation of slime and pitch. The aim of our study was to find an effective bio-based strategy for whitewater treatment using a selection of indigenous bacterial isolates. We first obtained a large collection of bacterial isolates and then tested them individually by simple plate and spectrophotometric methods for their ability to degrade the papermaking additives, i.e., carbohydrates, resin acids, alkyl ketene dimers, polyvinyl alcohol, latex, and azo and fluorescent dyes. We examined correlation between carbon source use, genera, and inoculum source of isolates using two multivariate methods: principal component analysis and FreeViz projection. Of the 318 bacterial isolates, we selected a consortium of four strains (Xanthomonadales bacterium sp. CST37-CF, Sphingomonas sp. BLA14-CF, Cellulosimicrobium sp. AKD4-BF and Aeromonas sp. RES19-BTP) that degrade the entire spectrum of tested additives by means of dissolved organic carbon measurements. A proof-of-concept study on a pilot scale was then performed by immobilizing the artificial consortium of the four strains and inserting them into a 33-liter, tubular flow-through reactor with a retention time of &amp;lt; 15 h. The consortium caused an 88% reduction in the COD of the whitewater, even after 21 days.</p", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "principal component analysis", "environmental microbiology", "azo dye", "whitewater", "Aeromonas", " azo dye", " bioaugmentation", " principal component analysis", " environmental microbiology", " whitewater", "Aeromonas", "bioaugmentation", "Microbiology", "QR1-502", "6. Clean water"]}, "links": [{"href": "https://doi.org/3111338726"}, {"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": "3111338726", "name": "item", "description": "3111338726", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3111338726"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-14T00:00:00Z"}}, {"id": "2318/2070010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:30Z", "type": "Report", "title": "Analysis of socioeconomic and environmental problems in farms applying soil health practices in EU", "description": "Open AccessPeer reviewed", "keywords": ["Socioeconomic problems", "Cluster analysis", "soil health", "principal component analysis", "Soil health", "Principal component analysis", "socioeconomic problems", "farm typology; principal component analysis; cluster analysis; soil health; agricultural systems; socio-economic problems", "Agricultural systems", "agricultural systems", "Farm typology", "farm typology", "cluster analysis"], "contacts": [{"organization": "Nikolov, D, Tzvetanova, E, Boevsky, I, Kostenarov, K, Banov, M, Huliyan, M, Zavattaro, L, Krasa, J, Dostal, T, Liebhard, GC, Strauss, P, Bakacsi, Z, Go\u0301mez, J,", "roles": ["creator"]}]}, "links": [{"href": "https://tudi-project.org/storage/app/uploads/public/671/f56/48e/671f5648e3d95502748133.pdf"}, {"href": "https://iris.unito.it/bitstream/2318/2070010/1/A58%20Ekatherina.pdf"}, {"href": "https://doi.org/2318/2070010"}, {"rel": "self", "type": "application/geo+json", "title": "2318/2070010", "name": "item", "description": "2318/2070010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2318/2070010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "3215851315", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:07Z", "type": "Journal Article", "created": "2021-11-30", "title": "Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections", "description": "Abstract<p>Tomato is an important commercial product which is perishable by nature and highly susceptible to fungal incidence once it is harvested. Not all tomatoes are equally vulnerable to pathogenic fungi, and an early detection of the vulnerable ones can help in taking timely preventive actions, ranging from isolating tomato batches to adjusting storage conditions, but also in making right business decisions like dynamic pricing based on quality or better shelf life estimate. More importantly, early detection of vulnerable produce can help in taking timely actions to minimize potential post-harvest losses. This paper investigates Near-infrared (NIR) hyperspectral imaging (1000\uffe2\uff80\uff931700\uffc2\uffa0nm) and machine learning to build models to automatically predict the susceptibility of sepals of recently harvested tomatoes to future fungal infections. Hyperspectral images of newly harvested tomatoes (cultivar Brioso) from 5 different growers were acquired before the onset of any visible fungal infection. After imaging, the tomatoes were placed under controlled conditions suited for fungal germination and growth for a 4-day period, and then imaged using normal color cameras. All sepals in the color images were ranked for fungal severity using crowdsourcing, and the final severity of each sepal was fused using principal component analysis. A novel hyperspectral data processing pipeline is presented which was used to automatically segment the tomato sepals from spectral images with multiple tomatoes connected via a truss. The key modelling question addressed in this research is whether there is a correlation between the hyperspectral data captured at harvest and the fungal infection observed 4 days later. Using 10-fold and group k-fold cross-validation, XG-Boost and Random Forest based regression models were trained on the features derived from the hyperspectral data corresponding to each sepal in the training set and tested on hold out test set. The best model found a Pearson correlation of 0.837, showing that there is strong linear correlation between the NIR spectra and the future fungal severity of the sepal. The sepal specific predictions were aggregated to predict the susceptibility of individual tomatoes, and a correlation of 0.92 was found. Besides modelling, focus is also on model interpretation, particularly to understand which spectral features are most relevant to model prediction. Two approaches to model interpretation were explored, feature importance and SHAP (SHapley Additive exPlanations), resulting in similar conclusions that the NIR range between 1390\uffe2\uff80\uff931420\uffc2\uffa0nm contributes most to the model\uffe2\uff80\uff99s final decision.</p", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "0301 basic medicine", "Principal Component Analysis", "0303 health sciences", "Spectroscopy", " Near-Infrared", "Science", "Q", "R", "Reproducibility of Results", "Microbiology", "Article", "Pattern Recognition", " Automated", "Machine Learning", "03 medical and health sciences", "Deep Learning", "Solanum lycopersicum", "Fruit", "Calibration", "Life Science", "Medicine", "Algorithms", "Software", "Plant Diseases"]}, "links": [{"href": "https://www.nature.com/articles/s41598-021-02302-2.pdf"}, {"href": "https://doi.org/3215851315"}, {"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": "3215851315", "name": "item", "description": "3215851315", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3215851315"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "PMC8521037", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:28:06Z", "type": "Journal Article", "created": "2021-10-04", "title": "Isolation, Identification, and Selection of Bacteria With Proof-of-Concept for Bioaugmentation of Whitewater From Wood-Free Paper Mills", "description": "<p>                     In the wood-free paper industry, whitewater is usually a mixture of additives for paper production. We are currently lacking an efficient, cost-effective purification technology for their removal. In closed whitewater cycles the additives accumulate, causing adverse production problems, such as the formation of slime and pitch. The aim of our study was to find an effective bio-based strategy for whitewater treatment using a selection of indigenous bacterial isolates. We first obtained a large collection of bacterial isolates and then tested them individually by simple plate and spectrophotometric methods for their ability to degrade the papermaking additives, i.e., carbohydrates, resin acids, alkyl ketene dimers, polyvinyl alcohol, latex, and azo and fluorescent dyes. We examined correlation between carbon source use, genera, and inoculum source of isolates using two multivariate methods: principal component analysis and FreeViz projection. Of the 318 bacterial isolates, we selected a consortium of four strains (                     Xanthomonadales bacterium                     sp. CST37-CF,                     Sphingomonas                     sp. BLA14-CF,                     Cellulosimicrobium                     sp. AKD4-BF and                     Aeromonas                     sp. RES19-BTP) that degrade the entire spectrum of tested additives by means of dissolved organic carbon measurements. A proof-of-concept study on a pilot scale was then performed by immobilizing the artificial consortium of the four strains and inserting them into a 33-liter, tubular flow-through reactor with a retention time of &amp;lt; 15 h. The consortium caused an 88% reduction in the COD of the whitewater, even after 21 days.                   </p", "keywords": ["0301 basic medicine", "PCA", "0303 health sciences", "principal component analysis", "Cellulosimicrobium", "Aeromonas", " azo dye", " bioaugmentation", " principal component analysis", " environmental microbiology", " whitewater", "water treatment", "Microbiology", "QR1-502", "6. Clean water", "03 medical and health sciences", "environmental microbiology", "azo dye", "whitewater", "Aeromonas", "bioaugmentation"]}, "links": [{"href": "https://doi.org/PMC8521037"}, {"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": "PMC8521037", "name": "item", "description": "PMC8521037", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8521037"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-14T00:00:00Z"}}, {"id": "PMC8633320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:28:06Z", "type": "Journal Article", "created": "2021-11-30", "title": "Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections", "description": "Abstract<p>Tomato is an important commercial product which is perishable by nature and highly susceptible to fungal incidence once it is harvested. Not all tomatoes are equally vulnerable to pathogenic fungi, and an early detection of the vulnerable ones can help in taking timely preventive actions, ranging from isolating tomato batches to adjusting storage conditions, but also in making right business decisions like dynamic pricing based on quality or better shelf life estimate. More importantly, early detection of vulnerable produce can help in taking timely actions to minimize potential post-harvest losses. This paper investigates Near-infrared (NIR) hyperspectral imaging (1000\uffe2\uff80\uff931700\uffc2\uffa0nm) and machine learning to build models to automatically predict the susceptibility of sepals of recently harvested tomatoes to future fungal infections. Hyperspectral images of newly harvested tomatoes (cultivar Brioso) from 5 different growers were acquired before the onset of any visible fungal infection. After imaging, the tomatoes were placed under controlled conditions suited for fungal germination and growth for a 4-day period, and then imaged using normal color cameras. All sepals in the color images were ranked for fungal severity using crowdsourcing, and the final severity of each sepal was fused using principal component analysis. A novel hyperspectral data processing pipeline is presented which was used to automatically segment the tomato sepals from spectral images with multiple tomatoes connected via a truss. The key modelling question addressed in this research is whether there is a correlation between the hyperspectral data captured at harvest and the fungal infection observed 4 days later. Using 10-fold and group k-fold cross-validation, XG-Boost and Random Forest based regression models were trained on the features derived from the hyperspectral data corresponding to each sepal in the training set and tested on hold out test set. The best model found a Pearson correlation of 0.837, showing that there is strong linear correlation between the NIR spectra and the future fungal severity of the sepal. The sepal specific predictions were aggregated to predict the susceptibility of individual tomatoes, and a correlation of 0.92 was found. Besides modelling, focus is also on model interpretation, particularly to understand which spectral features are most relevant to model prediction. Two approaches to model interpretation were explored, feature importance and SHAP (SHapley Additive exPlanations), resulting in similar conclusions that the NIR range between 1390\uffe2\uff80\uff931420\uffc2\uffa0nm contributes most to the model\uffe2\uff80\uff99s final decision.</p", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "2. 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