Publications by authors named "L Del Olmo Perez"

CuZnSn(S,Se) (CZT(S,Se)) thin films exhibit the characteristics necessary to be effective absorbers in solar cells. In this report, the room temperature experimental Raman scattering spectra, recorded at different excitation wavelengths, are systematically analyzed theoretically using the results of DFT harmonic frequencies calculations at the Γ-point for various modifications of kesterite (KS), stannite (ST), and pre-mixed Cu-Au (PMCA) crystal structures. The specific anharmonism-induced features in the spectra of CZT(S,Se) crystals are identified, and the spectral lineshapes at varied strengths of anharmonic interaction are simulated.

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Background: Accelerometers are widely adopted for physical activity (PA) measurement. Accelerometry data require pre-processing before entering formal statistical analyses. Many pre-processing criteria may influence PA outcomes and the processed sample, impacting results in subsequent statistical analyses.

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Background: To describe the epidemiology and clinical characteristics of migraine and the status of treatment in Colombia. Additionally, the use of health resources by patients was measured.

Methods: This was a non-interventional, retrospective, descriptive study conducted in one Colombian Health Management Organization (HMO) from 2018 to 2022 with a follow-up period of 5 years.

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Given shifts to dimensional models of personality pathology and a growing consensus that personality disorder (PD) often onsets during adolescence, there is a need for validated measures of PD in adolescents. Level of Personality Functioning (LPF) is particularly relevant for the identification of emerging personality dysfunction in adolescents given its ability to capture developmental discontinuity as metacognitive capacities in self- and interpersonal-functioning emerge. However, no studies as of yet have validated a measure of LPF in a sample of Spanish-speaking adolescents.

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Concerned about declining managed honeybee populations in North America, this study employed the random survival forest (RSF) model to assess beehive mortality, considering 18 diverse environmental, weather, and management practices. Our analysis focused on 15,906 and 6,690 beehives in California state, United States, and Quebec province, Canada for 2023, respectively. The accuracy of the RSF model was assessed through three accuracy metrics, namely concordance index (C-index), integrated Brier score (IBS), and time-dependent area under the curve (AUC).

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