User profiles for "author:F. Albarrán"
Francisco Albarrán-ArriagadaUniversidad de Santiago de Chile (USACH) Verified email at usach.cl Cited by 599 |
Analysis of refuse-derived fuel from the municipal solid waste reject fraction and its compliance with quality standards
…, M Carlos, MD Bovea, FJ Colomer, F Albarrán - Journal of cleaner …, 2014 - Elsevier
The final disposal of the Municipal Solid Waste is still a problem in many countries. The lack
of space, the generation of leachate, and the emission of greenhouse gases as well as the …
of space, the generation of leachate, and the emission of greenhouse gases as well as the …
Comprehensive monitoring of organic micro-pollutants in surface and groundwater in the surrounding of a solid-waste treatment plant of Castellón, Spain
…, I Morell, F López, F Albarrán… - Science of the total …, 2016 - Elsevier
The solid-waste treatment plant of RECIPLASA is located in the municipality of Onda
(Castellón province), which is an important agricultural area of Spain, with predominance of …
(Castellón province), which is an important agricultural area of Spain, with predominance of …
[HTML][HTML] The number of circulating monocytes as biomarkers of the clinical response to methotrexate in untreated patients with rheumatoid arthritis
…, A Pérez, E Cuende, F Albarrán… - Journal of translational …, 2015 - Springer
Background The aim of this work was to analyze the number and distribution of circulating
monocytes, and of their CD14+ high CD16−, CD14+ high CD16+ and CD14+ low CD16+ …
monocytes, and of their CD14+ high CD16−, CD14+ high CD16+ and CD14+ low CD16+ …
Analytical strategy based on the use of liquid chromatography and gas chromatography with triple-quadrupole and time-of-flight MS analyzers for investigating organic …
…, T Portolés, JM Marín, M Ibáñez, F Albarrán… - Analytical and …, 2010 - Springer
The presence of a wide variety of organic pollutants with different physicochemical
characteristics has been investigated in wastewater samples from a municipal solid-waste …
characteristics has been investigated in wastewater samples from a municipal solid-waste …
[HTML][HTML] Monocyte populations as markers of response to adalimumab plus MTX in rheumatoid arthritis
…, A Pérez, E Cuende, F Albarrán… - Arthritis research & …, 2012 - Springer
Introduction The treatment of rheumatoid arthritis (RA) patients with anti-tumor necrosis
factor alpha (TNFα) biological drugs has dramatically improved the prognosis of these …
factor alpha (TNFα) biological drugs has dramatically improved the prognosis of these …
Shortcuts to adiabaticity in digitized adiabatic quantum computing
Shortcuts to adiabaticity are well-known methods for controlling the quantum dynamics
beyond the adiabatic criteria, where counterdiabatic (CD) driving provides a promising …
beyond the adiabatic criteria, where counterdiabatic (CD) driving provides a promising …
Digitized-counterdiabatic quantum approximate optimization algorithm
The quantum approximate optimization algorithm (QAOA) has proved to be an effective
classical-quantum algorithm serving multiple purposes, from solving combinatorial …
classical-quantum algorithm serving multiple purposes, from solving combinatorial …
[HTML][HTML] The abnormal CD4+ T lymphocyte subset distribution and Vbeta repertoire in new-onset rheumatoid arthritis can be modulated by methotrexate Treament
…, L Ruíz, D Díaz, L Chara, AI Sánchez, F Albarrán… - Cells, 2019 - mdpi.com
Patients with long-term, treated, rheumatoid arthritis (RA) show abnormalities in their
circulating CD4+ T-lymphocytes, but whether this occurs in recently diagnosed naïve …
circulating CD4+ T-lymphocytes, but whether this occurs in recently diagnosed naïve …
Portfolio optimization with digitized counterdiabatic quantum algorithms
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to
approach quantum advantage for industrial applications in the NISQ era. We apply this …
approach quantum advantage for industrial applications in the NISQ era. We apply this …
Measurement-based adaptation protocol with quantum reinforcement learning
Abstract Machine learning employs dynamical algorithms that mimic the human capacity to
learn, where the reinforcement learning ones are among the most similar to humans in this …
learn, where the reinforcement learning ones are among the most similar to humans in this …