This paper analyses the effect of caponisation at 8 weeks on growth and on carcass and meat characteristics of Castellana Negra chickens slaughtered at 29 weeks. Caponisation did not result in weight improvements as compared with uncastrated birds. No changes were observed in the growth rate or in the parameters determining the point of inflection in the growth curve (sexual maturity). Regarding carcass characteristics, castration resulted in a wider breast angle and heavier pectoral muscles in caponised birds than in uncastrated birds, but with no differences in thigh and drumstick weight and length. Capon meat showed a higher fat content than that of cocks, making it juicier and less fibrous. No differences were found in fatty acid content (C 14:0, C 18:0, C 18:1 and C 18:2). Nor were there any differences in colour measurements, pH or water loss from the meat. While cocks' thighs 1 drumsticks were found to be tougher than their breasts, there were no such differences in capons because after castration, thigh 1 drumstick meat became more tender.
To follow up the restenosis in arteries stented during an angioplasty is an important current clinical problem. A new approach to monitor the growth of neointimal tissue inside the stent is proposed on the basis of electrical impedance spectroscopy (EIS) sensors and the oscillation-based test (OBT) circuit technique. A mathematical model was developed to analytically describe the histological composition of the neointima, employing its conductivity and permittivity data. The bioimpedance model was validated against a finite element analysis (FEA) using COMSOL Multiphysics software. A satisfactory correlation between the analytical model and FEA simulation was achieved in most cases, detecting some deviations introduced by the thin “double layer” that separates the neointima and the blood. It is hereby shown how to apply conformal transformations to obtain bioimpedance electrical models for stack-layered tissues over coplanar electrodes. Particularly, this can be applied to characterize the neointima in real-time. This technique is either suitable as a main mechanism for restenosis follow-up or it can be combined with proposed intelligent stents for blood pressure measurements to auto-calibrate the sensibility loss caused by the adherence of the tissue on the micro-electro-mechanical sensors (MEMSs).
1. This study shows the results of (a) fitting growth data to a Gompertz-Laird model and (b) fitting egg production per housed bird to a Grossman model, in a population of Castellana Negra hens. 2. The maximum growth point for males and females, respectively, occurred at 10.6 and 9.3 weeks and the estimated weights at maturity were 2852 and 1878 g. Growth curve parameters were lower than those of commercial lines and similar to reports of other unselected breeds. 3. The start of lay was at 23 weeks. Total egg production reached 163 at 52 weeks, with a persistency (length of constant production) of 3.4 weeks and a production maximum of 69%. The maximum rate of change segment of the laying curve started at 24.3 weeks of age, and the production maximum started at 5.8 weeks into lay. The rate of decline was 1.4% weekly. 4. The Castellana Negra breed belongs to the class of slow-growing light lines and egg production was 163 eggs per calendar year.
Current CMOS-micro-electro-mechanical systems (MEMS) fabrication technologies permit cardiological implantable devices with sensing capabilities, such as the iStents, to be developed in such a way that MEMS sensors can be monolithically integrated together with a powering/transmitting CMOS circuitry. This system on chip fabrication allows the devices to meet the crucial requirements of accuracy, reliability, low-power, and reduced size that any life-sustaining medical application imposes. In this regard, the characterization of stand-alone prototype sensors in an efficient but affordable way to verify sensor performance and to better recognize further areas of improvement is highly advisable. This work proposes a novel characterization method based on an atomic force microscope (AFM) in contact mode that permits to calculate the maximum deflection of the flexible top plate of a capacitive MEMS pressure sensor without coating, under a concentrated load applied to its center. The experimental measurements obtained with this method have allowed to verify the bending behavior of the sensor as predicted by simulation of analytical and finite element (FE) models. This validation process has been carried out on two sensor prototypes with circular and square geometries that were designed using a computer-aided design tool specially-developed for capacitive MEMS pressure sensors.
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