Evaluación del índice de frecuencia, sensibilidad y especificidad entre iELISA y PAL en el diagnóstico de brucelosis bovina en tanque de leche / Evaluation of the frequency, sensitivity and specificity index between iELISA and PAL in the diagnosis of bovine brucellosis in a milk tank

El objetivo del presente proyecto fue diagnosticar brucelosis bovina en tanque de leche con la Prueba Anillo de Leche (PAL) y ELISA indirecto (iELISA), así el índice de frecuencias para determinar una comparativa entre ambas pruebas para establecer costo beneficio, tiempo de análisis, precisión en los resultados. Se seleccionó una población de 276 bovinos hembra adultos lecheros raza Holstein-Friesian de 38 a 48 meses de edad. La brucelosis se diagnosticó en muestras de leche con la prueba PAL y iELISA, bajo los protocolos establecidos. Los resultados obtenidos con la técnica PAL se tuvieron 77 muestras negativas, 15 positivas y 4 control de la placa 1 con un total de 96 muestras; se obtuvieron 86 negativos, 6 positivos y 4 control de la placa 2 con un total de 96 muestras; y 83 negativos, 9 positivos y 4 control de la placa 3 con un total de 96 muestras. Se tuvo mayor porcentaje de detección 82.8% a Brucella abortus en las muestras analizadas por medio de iELISA que con las muestras analizadas con PAL 46.92%. Se concluye que el índice de frecuencias para determinar una comparativa entre ambas pruebas para determinar costo beneficio, entre PAL y iELISA, tiempo de análisis la PAL es más específica 48.93% que la prueba iELISA 19.83% y adicionalmente la prueba iELISA es más sensible 76.92% que PAL 14.85% para diagnosticar brucelosis bovina en tanque de leche. Se deduce que la prueba iELISA presento más frecuencias positivas, por lo que es una prueba más sensible que la PAL. Sin embargo, PAL es más rápida de realizar y es menos costosa que iELISA.

Characterization of the seismic field at Virgo and improved estimates of Newtonian-noise suppression by recesses

Fluctuations of gravitational forces cause so-called Newtonian noise (NN) in gravitational-wave (GW) detectors which is expected to limit their low-frequency sensitivity in upcoming observing runs. Seismic NN is produced by seismic waves passing near a detector's suspended test masses. It is predicted to be the strongest contribution to NN. Modeling this contribution accurately is a major challenge. Arrays of seismometers were deployed at the Virgo site to characterize the seismic field near the four test masses. In this paper, we present results of a spectral analysis of the array data from one of Virgo's end buildings to identify dominant modes of the seismic field. Some of the modes can be associated with known seismic sources. Analyzing the modes over a range of frequencies, we provide a dispersion curve of Rayleigh waves. We find that the Rayleigh speed in the NN frequency band 10\,Hz--20\,Hz is very low ($\lesssim$100\,m/s), which has important consequences for Virgo's seismic NN. Using the new speed estimate, we find that the recess formed under the suspended test masses by a basement level at the end buildings leads to a 10 fold reduction of seismic NN.

Model-based Energy Path Analysis of Tip-in Maneuvers in a 2WD Vehicle with Range-extender Electric Powertrain Architecture

Vehicle driveability is one of the important vehicle attributes in range-extender electric vehicles due to the electric motor torque characteristics at low-speed events. The process of validating and rectifying vehicle driveability attributes is typically utilised by a physical vehicle prototype that can be expensive and required several design iterations. In this paper, a model-based energy method to assess vehicle driveability is presented based on a high-fidelity 49 degree-of-freedom powertrain and vehicle systems. Multibody dynamics components were built according to their true centre of gravity relative to the vehicle datum for providing an accurate system interaction. The work covered a frequency at less than 20 Hz. The results that consisted of the component frequency domination are structured and examined to identify the low-frequency sensitivity based on different operating parameters such as a road surface coefficient. An energy path technique was also implemented on the dominant component by decoupling its compliances to study the effect on the vehicle driveability and low-frequency response. The outcomes of the research provided a good understanding of the interaction across the sub-systems levels. The powertrain rubber mounts were the dominant components that controlled the low-frequency contents (< 15.33 Hz) and can change the vehicle driveability quality.