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1. CO2 sequestration by ex-situ mineral carbonation
by Sanna, Aimaro, editor and Maroto-Valer, M. Mercedes, editor
2017, ISBN 9781786341594, xviii, 174 pages
Carbonate minerals | Carbon dioxide mitigation | Artificial minerals | Silicate minerals | Carbon sequestration
Book
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2. Full Text A Bioinspired Mineral Hydrogel as a Self‐Healable, Mechanically Adaptable Ionic Skin for Highly Sensitive Pressure Sensing
by Lei, Zhouyue and Wang, Quankang and Sun, Shengtong and Zhu, Wencheng and Wu, Peiyi
Advanced materials (Weinheim), ISSN 0935-9648, 06/2017, Volume 29, Issue 22, pp. 1700321 - n/a
ionic skin | bioinspired materials | supramolecular hydrogels | capacitive sensors | self‐healing | self-healing | Materials Science | Materials Science, Multidisciplinary | Physics, Condensed Matter | Science & Technology - Other Topics | Chemistry, Physical | Physics | Science & Technology | Physics, Applied | Physical Sciences | Chemistry | Nanoscience & Nanotechnology | Technology | Chemistry, Multidisciplinary | Skin | Sensors | Artificial intelligence | Robotics | Viscoelasticity | Automation | Human motion | Hydrogels | Manufacturing engineering | Industrial robots | Droplets | Devices | Wearable technology
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3. Full Text Machine learning applications in minerals processing: A review
by McCoy, J.T and Auret, L
Minerals engineering, ISSN 0892-6875, 03/2019, Volume 132, pp. 95 - 109
Machine vision | Artificial intelligence | Fault detection and diagnosis | Machine learning | Data-based modelling | Engineering | Physical Sciences | Engineering, Chemical | Mining & Mineral Processing | Technology | Mineralogy | Science & Technology
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4. Synthetic metals
Synthetic metals, ISSN 0379-6779, 1979
Periodicals | Nonmetals
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5. Full Text Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
by Carranza, Emmanuel John M and Laborte, Alice G
Computers & geosciences, ISSN 0098-3004, 01/2015, Volume 74, pp. 60 - 70
Data-driven modeling | GIS | Ensemble of regression trees | Porphyry copper | Geosciences, Multidisciplinary | Physical Sciences | Computer Science, Interdisciplinary Applications | Geology | Technology | Computer Science | Science & Technology | Case studies | Porphyry | Algorithms | Neural networks | Analysis | Machine learning | Forests | Artificial neural networks | Handles | Mathematical models | Mapping | Minerals
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6. Full Text Automatic mineral identification using color tracking
by Aligholi, Saeed and Lashkaripour, Gholam Reza and Khajavi, Reza and Razmara, Morteza
Pattern recognition, ISSN 0031-3203, 05/2017, Volume 65, pp. 164 - 174
CIELab color space | CIEDE2000 color distance | Modified Hausdorff distance | Automated mineral identification | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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7. Full Text KNN classification — evaluated by repeated double cross validation: Recognition of minerals relevant for comet dust
by Varmuza, Kurt and Filzmoser, Peter and Hilchenbach, Martin and Krüger, Harald and Silén, Johan
Chemometrics and intelligent laboratory systems, ISSN 0169-7439, 11/2014, Volume 138, pp. 64 - 71
ROSETTA | Cross validation | Mass spectrometry | Multicategory classification | Mathematics, Interdisciplinary Applications | Statistics & Probability | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Computer Science | Automation & Control Systems | Computer Science, Artificial Intelligence | Mathematics | Chemistry, Analytical | Science & Technology
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8. Full Text Nano-delivery of trace minerals for marine fish larvae: influence on skeletal ossification, and the expression of genes involved in intestinal transport of minerals, osteoblast differentiation, and oxidative stress response
by Terova, Genciana and Rimoldi, Simona and Izquierdo, Marisol and Pirrone, Cristina and Ghrab, Wafa and Bernardini, Giovanni
Fish physiology and biochemistry, ISSN 0920-1742, 10/2018, Volume 44, Issue 5, pp. 1375 - 1391
Larvae | Transmission electron microscopy | Real-time PCR | Seabream | Nanominerals | Light microscopy | Histology | Aquaculture | Biochemistry & Molecular Biology | Fisheries | Physiology | Life Sciences & Biomedicine | Science & Technology | Intestinal Mucosa - metabolism | Biological Transport, Active - genetics | Cell Differentiation - genetics | Larva - growth & development | Larva - genetics | Osteoblasts - cytology | Sea Bream - metabolism | Trace Elements - administration & dosage | Cell Line | Gene Expression | Intestinal Mucosa - ultrastructure | Larva - metabolism | Osteogenesis - drug effects | Nanoparticles - ultrastructure | Oxidative Stress - genetics | Aquaculture - methods | Animals | Animal Nutritional Physiological Phenomena | Nanoparticles - administration & dosage | Osteoblasts - metabolism | Trace Elements - pharmacokinetics | Nanotechnology | Sea Bream - genetics | Sea Bream - growth & development | Animal Feed | Fish-culture | Analysis | Genes | Aquaculture industry | Genetic research | Bone morphogenetic proteins | Oxidative stress | Additives | Growth rate | Dietary minerals | Copy number | Weaning | Delivery systems | Amino acids | mRNA | Minerals | Trace minerals | Ossification | Nanoparticles | Molecules | Mineralization | Intestine | Food industry | Fish | Biocompatibility | Selenium | Feed composition | Feed | Nutrient deficiency | Bone morphogenetic protein 2 | Hatching | Vectors | Divalent metal transporter-1 | Gene expression | Zinc | Animal feed | Molecular chains | Feeding | Artificial diets | Prey | Diets | Industrial development | Osteoblastogenesis | Diet | Feeding experiments | Marine fish | Fish larvae | Food processing industry | Zooplankton | Manganese | Anomalies | Index Medicus
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9. Full Text Evaluation of minerals, toxic elements and bioactive compounds in rose petals (Rosa spp.) using chemometric tools and artificial neural networks
by dos Santos, Ana Maria P and Silva, Emmanuelle F.R and dos Santos, Walter Nei L and da Silva, Erik G.P and dos Santos, Liz O and da S. Santos, Bruna R and da S. Sauthier, Maria C and dos Santos, Wagna P.C
Microchemical journal, ISSN 0026-265X, 05/2018, Volume 138, pp. 98 - 108
Rose petals | Minerals | Bioactive compounds | Chemometric tools | Toxic elements | Artificial neural networks | Physical Sciences | Chemistry | Chemistry, Analytical | Science & Technology
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