Publications by authors named "A M DOMINGUEZ"
Four photosensitizers PS1a-PS4a consisting in multicationic ruthenium(II) phthalocyanines (RuPcs) have been evaluated in photodynamic inactivation (PDI) of multiresistant microorganisms. The RuPcs, bearing from 4 to 12 terminal ammonium salts, have been designed to target the microorganisms cytoplasmic cell membrane and display high singlet oxygen quantum yields. In addition, PS3a and PS4a were conceived to exhibit multi-target localization by endowing them with amphiphilic character, using two different structural approaches.
View Article and Find Full Text PDFIn this work, strategies for the detection of pyrimidine-rich DNA target sequences based on the formation of duplex and antiparallel triplex structures are studied. The presence of the target is detected from the changes in fluorescence of silver nanoclusters stabilized by the corresponding complementary DNA probes. In all cases, the formation of intermolecular structures has been assessed by means of melting experiments and multivariate analysis.
View Article and Find Full Text PDFArticle Synopsis
- The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
- A special data scouting method is utilized to pick out events with low combined momentum in jets.
- This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
Background: Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy (IMRT) and three-dimensional conformal radiation therapy (3D-CRT) remains pivotal, influenced by patient anatomy and dosimetric constraints.
Purpose: This study aims to develop a decision-making framework utilizing deep learning to predict dose distributions, aiding in the selection of optimal treatment techniques.
Introduction: Difficult-to-treat-resistant (DTR) infections caused by Pseudomonas aeruginosa represent a global public health threat, prioritizing the search and development of new antibiotics for this microorganism.
Methods: We present the real-life experience of the compassionate use of imipenem/cilastatin/relebactam in a descriptive study involving 14 patients with DTR-P. aeruginosa infection and limited treatment options.