Madurez gonadal de algunos peces de importancia comercial: escalas macroscópicas validadas microscópicamente

Describen las escalas de madurez gonadal macroscópicas, validadas mediante análisis microscópicos, de diez especies de peces: Engraulis ringens anchoveta peruana, Merluccius gayi peruanus merluza, Sarda chiliensis chiliensis bonito, Scomber japonicus peruanus caballa, Anchoa nasus anchoveta blanca, Paralabrax humeralis cabrilla, Paralichthys adspersus lenguado, Cynoscion analis cachema, Hippoglossina macrops lenguado de ojo grande y Vinciguerria lucetia. Todas las escalas tienen seis estadios de madurez para hembras y machos: 0 (virginal), I (reposo), II (en maduración), III (maduro), IV (desovante/expulsante), V (recuperación/post expulsante). Se describen características y criterios claros para diferenciación entre estadios de madurez por especie y se discute la importancia de la validación y sus múltiples aplicaciones

Escala de madurez gonadal de anchoveta peruana Engraulis ringens (Jenyns, 1842

En este trabajo, se describe la escala de madurez gonadal macroscópica, validada microscópicamente, de anchoveta peruana Engraulis ringens. Se analizó 1970 gónadas (1251 ovarios, 719 testículos), procedentes del seguimiento de la pesquería pelágica del 2006, 2008, 2009 y 2012 y de cruceros de Evaluación Hidroacústica de Recursos Pelágicos del 2006, 2009 y 2012. La escala establece seis estadios de madurez para hembras y machos: 0 (virginal), I (reposo), II (en maduración), III (maduro), IV (desovante/expulsante), V (recuperación/post expulsante).

Escala de madurez gonadal de merluza peruana Merluccius gayi peruanus (Ginsburg, 1954)

Se determinó la escala de madurez gonadal macroscópica, validada microscópicamente del recurso merluza peruana Merluccius gayi peruanus. Para ello, se analizaron histológicamente gónadas de hembras y machos colectadas en los cruceros de Evaluación de Recursos Demersales, desde el otoño del 2002 hasta el verano del 2004. En base a las observaciones microscópicas de cada estadio de madurez gonadal, se establecen las características visuales más conspicuas que diferencian a cada uno de ellos, estableciéndose seis estadios tanto para hembras como para machos: 0 (virginal), I (reposo), II (en maduración), III (maduro), IV (desovante/expulsante), V (recuperación/ post expulsante).

Escala de madurez gonadal de bonito Sarda chiliensis chiliensis (Cuvier, 1832)

El objetivo fue elaborar la escala de madurez gonadal macroscópica de Sarda chiliensis chiliensis con una validación basada en análisis histológicos. Se analizaron 591 muestras de gónadas provenientes del plan de seguimiento de la pesquería pelágica en el año 2014. A cada gónada se asignó un estadio de madurez macroscópico luego de la observación del desarrollo ovocitario y espermatogénico en los cortes histológicos. Se describieron seis estadios de maduración que van desde 0 (virginal) hasta el estadio 5 (recuperación en hembras, post expulsante en machos). Se compara la descripción de esta escala con trabajos anteriormente realizados, se discuten los criterios de catalogación y se dan recomendaciones para el seguimiento de la pesquería.

Escala de madurez gonadal de cabrilla Paralabrax humeralis (Valenciennes, 1828)

Se realiza la validación de la escala de madurez gonadal macroscópica de la cabrilla Paralabrax humeralis. Se analizaron 197 ovarios y 188 testículos provenientes del seguimiento de la pesquería demersal y cruceros de investigación de recursos demersales en el 2005 (Enero-febrero y mayo-junio). Sobre la base del análisis histológico se asignó a cada individuo un estadio de madurez macroscópico. Se realizó la descripción de los estadios de madurez que van desde el estadio 0 (virginal) hasta el 5 (recuperación en hembras, post expulsante en machos). Se realizó una comparación con escalas anteriormente realizadas, discutiendo además los beneficios de su uso.

Prognostic factors in early-stage leiomyosarcoma of the uterus.

Uterine leiomyosarcomas (LMSs) are rare cancers representing less than 1% of all uterine malignancies. Clinical International Federation of Gynecology and Obstetrics (FIGO) stage is the most important prognostic factor. Other significant prognostic factors, especially for early stages, are difficult to establish because most of the published studies have included localized and extra-pelvian sarcomas. The aim of our study was to search for significant prognostic factors in clinical stage I and II uterine LMS. The pathologic features of 108 uterine LMS including 72 stage I and II lesions were reviewed using standardized criteria. The prognostic significance of different pathologic features was assessed. The median follow-up in the whole group was 64 months (range, 6-223 months). The 5-year overall survival (OS) and metastasis-free interval and local relapse-free interval rates in the whole group and early-stage group (FIGO stages I and II) were 40% and 57%, 42% and 50%, 56% and 62%, respectively. Clinical FIGO stage was the most important prognostic factor for OS in the whole group (P = 4 x 10). In the stage I and II group, macroscopic circumscription was the most significant factor predicting OS (P = 0.001). In the same group, mitotic score and vascular invasion were associated with metastasis-free interval (P = 0.03 and P = 0.04, respectively). Uterine LMSs diagnosed using standardized criteria have a poor prognosis, and clinical FIGO stage is an ominous prognostic factor. In early-stage LMS, pathologic features such as mitotic score, vascular invasion, and tumor circumscription significantly impact patient outcome.

Entropy Production In Thermodynamic Climate Models

We present a non-equilibrium theory in a system with heat and radiative fluxes. The obtained expression for the entropy production is applied to a simple one-dimensional climate model based on the first law of thermodynamics. In the model, the dissipative fluxes are assumed to be independent variables, following the criteria of the Extended Irreversible Thermodynamics (BIT) that enlarges, in reference to the classical expression, the applicability of a macroscopic thermodynamic theory for systems far from equilibrium. We analyze the second differential of the classical and the generalized entropy as a criteria of stability of the steady states. Finally, the extreme state is obtained using variational techniques and observing that the system is close to the maximum dissipation rate

Numerical simulation of ambient seismic wavefield modification caused by pore-fluid effects in an oil reservoir

We have modeled numerically the seismic response of a poroelastic inclusion with properties applicable to an oil reservoir that interacts with an ambient wavefield. The model includes wave-induced fluid flow caused by pressure differences between mesoscopic-scale (i.e., in the order of centimeters to meters) heterogeneities. We used a viscoelastic approximation on the macroscopic scale to implement the attenuation and dispersion resulting from this mesoscopic-scale theory in numerical simulations of wave propagation on the kilometer scale. This upscaling method includes finite-element modeling of wave-induced fluid flow to determine effective seismic properties of the poroelastic media, such as attenuation of P- and S-waves. The fitted, equivalent, viscoelastic behavior is implemented in finite-difference wave propagation simulations. With this two-stage process, we model numerically the quasi-poroelastic wave-propagation on the kilometer scale and study the impact of fluid properties and fluid saturation on the modeled seismic amplitudes. In particular, we addressed the question of whether poroelastic effects within an oil reservoir may be a plausible explanation for low-frequency ambient wavefield modifications observed at oil fields in recent years. Our results indicate that ambient wavefield modification is expected to occur for oil reservoirs exhibiting high attenuation. Whether or not such modifications can be detected in surface recordings, however, will depend on acquisition design and noise mitigation processing as well as site-specific conditions, such as the geologic complexity of the subsurface, the nature of the ambient wavefield, and the amount of surface noise.

Microvascular burden and Alzheimer-type lesions across the age spectrum.

The occurrence of microvascular and small macrovascular lesions and Alzheimer's disease (AD)-related pathology in the aging human brain is a well-described phenomenon. Although there is a wide consensus about the relationship between macroscopic vascular lesions and incident dementia, the cognitive consequences of the progressive accumulation of these small vascular lesions in the human brain are still a matter of debate. Among the vast group of small vessel-related forms of ischemic brain injuries, the present review discusses the cognitive impact of cortical microinfarcts, subcortical gray matter and deep white matter lacunes, periventricular and diffuse white matter demyelinations, and focal or diffuse gliosis in old age. A special focus will be on the sub-types of microvascular lesions not detected by currently available neuroimaging studies in routine clinical settings. After providing a critical overview of in vivo data on white matter demyelinations and lacunes, we summarize the clinicopathological studies performed by our center in large cohorts of individuals with microvascular lesions and concomitant AD-related pathology across two age ranges (the younger old, 65-85 years old, versus the oldest old, nonagenarians and centenarians). In conjunction with other autopsy datasets, these observations fully support the idea that cortical microinfarcts are the only consistent determinant of cognitive decline across the entire spectrum from pure vascular cases to cases with combined vascular and AD lesion burden.

On some numerical aspects of an active strain model in cardiac mechanics

We are interested in the development, implementation and testing of an orthotropic model for cardiac contraction based on an active strain decomposition. Our model addresses the coupling of a transversely isotropic mechanical description at the cell level, with an orthotropic constitutive law for incompressible tissue at the macroscopic level. The main differences with the active stress model are addressed in detail, and a finite element discretization using Taylor-Hood and MINI elements is proposed and illustrated with numerical examples.

Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ).

Normal ageing is associated with characteristic changes in brain microstructure. Although in vivo neuroimaging captures spatial and temporal patterns of age-related changes of anatomy at the macroscopic scale, our knowledge of the underlying (patho)physiological processes at cellular and molecular levels is still limited. The aim of this study is to explore brain tissue properties in normal ageing using quantitative magnetic resonance imaging (MRI) alongside conventional morphological assessment. Using a whole-brain approach in a cohort of 26 adults, aged 18-85years, we performed voxel-based morphometric (VBM) analysis and voxel-based quantification (VBQ) of diffusion tensor, magnetization transfer (MT), R1, and R2* relaxation parameters. We found age-related reductions in cortical and subcortical grey matter volume paralleled by changes in fractional anisotropy (FA), mean diffusivity (MD), MT and R2*. The latter were regionally specific depending on their differential sensitivity to microscopic tissue properties. VBQ of white matter revealed distinct anatomical patterns of age-related change in microstructure. Widespread and profound reduction in MT contrasted with local FA decreases paralleled by MD increases. R1 reductions and R2* increases were observed to a smaller extent in overlapping occipito-parietal white matter regions. We interpret our findings, based on current biophysical models, as a fingerprint of age-dependent brain atrophy and underlying microstructural changes in myelin, iron deposits and water. The VBQ approach we present allows for systematic unbiased exploration of the interaction between imaging parameters and extends current methods for detection of neurodegenerative processes in the brain. The demonstrated parameter-specific distribution patterns offer insights into age-related brain structure changes in vivo and provide essential baseline data for studying disease against a background of healthy ageing.

Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections.

Recent findings in neuroscience suggest that adult brain structure changes in response to environmental alterations and skill learning. Whereas much is known about structural changes after intensive practice for several months, little is known about the effects of single practice sessions on macroscopic brain structure and about progressive (dynamic) morphological alterations relative to improved task proficiency during learning for several weeks. Using T1-weighted and diffusion tensor imaging in humans, we demonstrate significant gray matter volume increases in frontal and parietal brain areas following only two sessions of practice in a complex whole-body balancing task. Gray matter volume increase in the prefrontal cortex correlated positively with subject's performance improvements during a 6 week learning period. Furthermore, we found that microstructural changes of fractional anisotropy in corresponding white matter regions followed the same temporal dynamic in relation to task performance. The results make clear how marginal alterations in our ever changing environment affect adult brain structure and elucidate the interrelated reorganization in cortical areas and associated fiber connections in correlation with improvements in task performance.

Conduction mechanisms and charge storage in Si-nanocrystals metal-oxide-semiconductor memory devices studied with conducting atomic force microscopy

In this work, we demonstrate that conductive atomic force microscopy (C-AFM) is a very powerful tool to investigate, at the nanoscale, metal-oxide-semiconductor structures with silicon nanocrystals (Si-nc) embedded in the gate oxide as memory devices. The high lateral resolution of this technique allows us to study extremely small areas ( ~ 300nm2) and, therefore, the electrical properties of a reduced number of Si-nc. C-AFM experiments have demonstrated that Si-nc enhance the gate oxide electrical conduction due to trap-assisted tunneling. On the other hand, Si-nc can act as trapping centers. The amount of charge stored in Si-nc has been estimated through the change induced in the barrier height measured from the I-V characteristics. The results show that only ~ 20% of the Si-nc are charged, demonstrating that the electrical behavior at the nanoscale is consistent with the macroscopic characterization.

Impedance field and transition from thermal to shot noise in Cd1-xZnxTe semi-insulating Ohmic detectors

Within a drift-diffusion model we investigate the role of the self-consistent electric field in determining the impedance field of a macroscopic Ohmic (linear) resistor made by a compensated semi-insulating semiconductor at arbitrary values of the applied voltage. The presence of long-range Coulomb correlations is found to be responsible for a reshaping of the spatial profile of the impedance field. This reshaping gives a null contribution to the macroscopic impedance but modifies essentially the transition from thermal to shot noise of a macroscopic linear resistor. Theoretical calculations explain a set of noise experiments carried out in semi-insulating CdZnTe detectors.

Comparison between molecular dynamics abd Monte Carlo simulations of an ordering process in a binary alloy

Ordering in a binary alloy is studied by means of a molecular-dynamics (MD) algorithm which allows to reach the domain growth regime. Results are compared with Monte Carlo simulations using a realistic vacancy-atom (MC-VA) mechanism. At low temperatures fast growth with a dynamical exponent x>1/2 is found for MD and MC-VA. The study of a nonequilibrium ordering process with the two methods shows the importance of the nonhomogeneity of the excitations in the system for determining its macroscopic kinetics.