Publications by authors named "R Olmos"
Article Synopsis
- This study assesses the effectiveness of prone SPECT imaging with [Tc]Tc-sestamibi compared to Molecular Breast Imaging (MBI) in predicting treatment response in women with locally advanced breast cancer (LABC).
- It involved 18 patients who underwent SPECT scans shortly after and 90 minutes post-injection, along with MBI, to analyze tumor characteristics like wash-out rates and standardized uptake values.
- Results indicated that early SPECT provided useful semi-quantitative data comparable to MBI, though further research with broader clinical parameters is necessary to determine the clinical implications of these findings.
Background: Hypoparathyroidism is characterized by chronic hypocalcemia with low or abnormal parathyroid hormone levels. Thyroid surgery remains a predominant cause of hypoparathyroidism, often preventable by partial thyroidectomy. Although hypoparathyroidism can impair quality of life (QOL), data remain limited for Latin America.
View Article and Find Full Text PDFLatent change score (LCS) models within a continuous-time state-space modeling framework provide a convenient statistical approach for analyzing developmental data. In this study, we evaluate the robustness of such an approach in the context of accelerated longitudinal designs (ALDs). ALDs are especially interesting because they imply a very high rate of planned data missingness.
View Article and Find Full Text PDFIn alignment with the distributional hypothesis of language, the work "Quantum Projections on Conceptual Subspaces" (Martínez-Mingo A, Jorge-Botana G, Martinez-Huertas JÁ, et al. Quantum projections on conceptual subspaces. Cogn Syst Res 2023; 82: 101154) proposed a methodology for generating conceptual subspaces from textual information based on previous work (Martinez-Mingo A, Jorge-Botana G and Olmos R.
View Article and Find Full Text PDFIn this study, we analyzed the relationship between the amodal (semantic) development of words and two popular emotional norms (emotional valence and arousal) in English and Spanish languages. To do so, we combined the strengths of semantics from vector space models (vector length, semantic diversity, and word maturity measures), and feature-based models of emotions. First, we generated a common vector space representing the meaning of words at different developmental stages (five and four developmental stages for English and Spanish, respectively) using the Word Maturity methodology to align different vector spaces.
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