Publications by authors named "C Barrientos"
We present a novel approach for testing genealogical relations between language families. Our method, which has previously only been applied to closely related languages, makes predictions for cognate reflexes based on the regularity of proposed sound correspondences between language families that are hypothesized to be related. We test the hypothesis about a genealogical relation between Panoan and Takanan, two linguistic families of the Amazon.
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- Piscirickettsiosis, caused by the pathogen P. salmonis, significantly impacts the Chilean aquaculture industry, leading to major economic losses, and traditional genotyping methods are limited in cost and expertise requirements.
- This study introduces Loop-mediated Isothermal Amplification (LAMP) as a faster, cheaper, and simpler alternative for diagnosing P. salmonis, developing specific assays for both species identification and differentiation between its genogroups LF-89 and EM-90.
- LAMP assays showed sensitivity and specificity on par with traditional methods while being more suitable for field use, indicating potential for improved disease management and surveillance in salmonid aquaculture.
The innate immune response in , mediated by pattern recognition receptors (PRRs), is crucial for defending against pathogens. This study examined DDX41 protein functions as a cytosolic/nuclear sensor for cyclic dinucleotides, RNA, and DNA from invasive intracellular bacteria. The investigation determined the existence, conservation, and functional expression of the gene in .
View Article and Find Full Text PDFThe exploration of phosphorus-bearing species stands as a prolific field in current astrochemical research, particularly within the context of prebiotic chemistry. Herein, we have employed high-level quantum chemistry methodologies to predict the structure and spectroscopic properties of isomers composed of a methyl group and three P, C, and O atoms. We have computed relative and dissociation energies, as well as rotational, rovibrational, and torsional parameters using the B2PLYPD3 functional and the explicitly correlated coupled cluster CCSD(T)-F12b method.
View Article and Find Full Text PDFBackground: Anterior knee pain (AKP) following total knee arthroplasty (TKA) with patellar preservation is a common complication that significantly affects patients' quality of life. This study aimed to develop a machine-learning model to predict the likelihood of developing AKP after TKA using radiological variables.
Methods: A cohort of 131 anterior stabilized TKA cases (105 patients) without patellar resurfacing was included.