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Repositorio de Datos del Consorcio Madroño
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1,451 to 1,460 of 21,037 Results
27-Dec-2017___7-52-59.dat
May 26, 2026 - Experimental Vibration Data for Structural Health Monitoring (SHM) of a rotor with Mechanical Looseness
Datos de texto de campo fijo - 168,8 KB - MD5: 94f94f30b0e5ce13aa0030652bbf8e06
27-Dec-2017___7-52-8.dat
May 26, 2026 - Experimental Vibration Data for Structural Health Monitoring (SHM) of a rotor with Mechanical Looseness
Datos de texto de campo fijo - 168,8 KB - MD5: eb757cfd6d33ec88d962ea7a43be2bdf
27-Dec-2017___7-53-12.dat
May 26, 2026 - Experimental Vibration Data for Structural Health Monitoring (SHM) of a rotor with Mechanical Looseness
Datos de texto de campo fijo - 168,8 KB - MD5: 7b97432637acbdb03cc7918d96d4231f
27-Dec-2017___7-53-17.dat
May 26, 2026 - Experimental Vibration Data for Structural Health Monitoring (SHM) of a rotor with Mechanical Looseness
Datos de texto de campo fijo - 168,9 KB - MD5: 4e44a4dd55504e79d0bf7f7dde7025e0
Antimicrobial and physico-mechanical properties of a universal adhesive loaded with L-arginine-containing mesoporous silica nanoparticles (ArgC18@MSNs)
May 25, 2026 - Universidad Rey Juan Carlos
Jiménez Díez, Daniel; Fernández García, Paloma; Navas, Francisco; Morales, Victoria; Sanz Martin, Raul; Garcia-Muñoz, Rafael A.; RUIZ-LINARES, MATILDE; Ferrer-Luque, Carmen Maria; Loguercio, Alessandro; Fuentes, M Victoria; Ceballos, Laura, 2026, "Antimicrobial and physico-mechanical properties of a universal adhesive loaded with L-arginine-containing mesoporous silica nanoparticles (ArgC18@MSNs)", https://doi.org/10.21950/C1MVEW, e-cienciaDatos, V1
To evaluate the effect of adding L-arginine-containing mesoporous silica nanoparticles (ArgC18@MSNs) to a commercial universal adhesive for anti-caries purposes, focusing on antimicrobial/physicomechanical properties. Methods: ArgC18@MSNs were synthesized using N-oleoyl-L-arginine as a drug structure-directing agent and characterized by TEM, N2 ads...
dataset Dent. Mater 2025.xlsx
May 25, 2026 - Antimicrobial and physico-mechanical properties of a universal adhesive loaded with L-arginine-containing mesoporous silica nanoparticles (ArgC18@MSNs)
Hoja de cálculo MS Excel - 208,5 KB - MD5: 6440f73aa704e3a104af950bf43ecb50
readme-en Dent. Mater 2025.txt
May 25, 2026 - Antimicrobial and physico-mechanical properties of a universal adhesive loaded with L-arginine-containing mesoporous silica nanoparticles (ArgC18@MSNs)
Texto plano - 19,4 KB - MD5: fe8fb8b665ac8f1b40075e6a8e8a8a1d
Size-Controlled Mesoporous Silica Nanoparticles via Template from a Deferoxamine Derivative for Enhanced Blood−Brain Barrier Permeability and Neuroprotective Chelation Therapy
May 25, 2026 - Universidad Rey Juan Carlos
Onrubia-Márquez, Mónica; Navas, Francisco; Marquez, Esther; Martin Rengel, Antonio; Liturri, Anselma; Miciaccia, Morena; Sanz Martin, Raul; Scilimati, Antonio; Garcia-Muñoz, Rafael A.; Perrone, Maria Grazia; Morales, Victoria, 2026, "Size-Controlled Mesoporous Silica Nanoparticles via Template from a Deferoxamine Derivative for Enhanced Blood−Brain Barrier Permeability and Neuroprotective Chelation Therapy", https://doi.org/10.21950/4UKE3L, e-cienciaDatos, V1
Neurodegenerative diseases (NDs) are progressive and fatal disorders that primarily affect the elderly and remain incurable. Characterized by irreversible neuronal loss, they leave patients increasingly dependent on caregivers. Despite diverse clinical presentations, NDs share common pathological features, such as protein aggregation, metal accumul...
dataset ACS app mat and int 2025.xlsx
May 25, 2026 - Size-Controlled Mesoporous Silica Nanoparticles via Template from a Deferoxamine Derivative for Enhanced Blood−Brain Barrier Permeability and Neuroprotective Chelation Therapy
Hoja de cálculo MS Excel - 401,5 KB - MD5: 0bcee45cf7edd4047e923bfb28f15b1c
readme-en ACS app mat and int 2025.txt
May 25, 2026 - Size-Controlled Mesoporous Silica Nanoparticles via Template from a Deferoxamine Derivative for Enhanced Blood−Brain Barrier Permeability and Neuroprotective Chelation Therapy
Texto plano - 21,8 KB - MD5: 66112a8e027e8fe1f17f8615d038e9fe
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