Biochemical effects of ethanol on oreochromis mossambicus (Peters)

The present study dealt with the haematological, biochemical and istopathological impacts of different sub lethal concentrations of ethanol on a euryhaline teleost Oreochromis In05.s‘ambicu.5' (Peters).Studies carried out using GC indicated an increase in blood ethanol oncentration of the fish which mainly arose due to fishes entering into a state of hypoxia which explains ethanol production as an ubiquitous “anaerobic” end product, which gets accumulated whenever metabolic demand exceeds the mitochondrial oxidative potential. The very low amount of ethanol detected in the control group ofO mossambicns was mainly due to the activity of microorganisms in the gut ofO. Nzossambicus.Oedcma observed in the present study, is a defense mechanism that reduces the branchial superficial area of the fish which comes in contact with the external milieu. These mechanisms also increase the diffusion barrier to the pollutant. Dilation of the blood vessels is due to increased permeability helping in the free passage of ethanol into the blood stream. Telangiectasis observed explains the state of asphyxia of the fish when subjected to ethanol toxicity indicating acute respiratory distress. Gill aneurysm observed indicates impaired respiratory function. This is related to the rupture of the pillar cells which results in an increased blood flow inside the lamellae, causing dilation of the blood vessel or even aneurysm of gill.The present findings warrant future studies to explore A'T'Pases as possible biomarkers of pollutant exposure in ecotoxicology. This study indicated that O. mossambicus when exposed for 7 and 21 days to ethanol was under tremendous stress and parameters employed in this study can be adapted for future investigations as biomarkers of damage caused by ethanol to aquatic organisms. The present study revealed that O. mossambicus is sensitive to sub lethal concentrations of ethanol.

CBIR Using Local and Global Properties of Image Sub-blocks

This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image. The image sub-blocks are roughly identified by segmenting the image into partitions of different configuration, finding the edge density in each partition using edge thresholding, morphological dilation and finding the corner density in each partition. The colour and texture features of the identified regions are computed from the histograms of the quantized HSV colour space and Gray Level Co- occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each region. The shape features are computed from the Edge Histogram Descriptor (EHD). Euclidean distance measure is used for computing the distance between the features of the query and target image. Experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods

Content Based Image Retrieval Using Low Level Features of Automatically Extracted Regions of Interest

This paper proposes a region based image retrieval system using the local colour and texture features of image sub regions. The regions of interest (ROI) are roughly identified by segmenting the image into fixed partitions, finding the edge map and applying morphological dilation. The colour and texture features of the ROIs are computed from the histograms of the quantized HSV colour space and Gray Level co- occurrence matrix (GLCM) respectively. Each ROI of the query image is compared with same number of ROIs of the target image that are arranged in the descending order of white pixel density in the regions, using Euclidean distance measure for similarity computation. Preliminary experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods.

A Sub-block Based Image Retrieval Using Modified Integrated Region Matching.

This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image. The image sub-blocks are roughly identified by segmenting the image into partitions of different configuration, finding the edge density in each partition using edge thresholding, morphological dilation. The colour and texture features of the identified regions are computed from the histograms of the quantized HSV colour space and Gray Level Co- occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each region. The shape features are computed from the Edge Histogram Descriptor (EHD). A modified Integrated Region Matching (IRM) algorithm is used for finding the minimum distance between the sub-blocks of the query and target image. Experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods

Pathological changes in Fenneropenaeus indicus experimentally infected with white spot virus and virus morphogenesis

To demonstrate pathological changes due to white spot virus infection in Fenneropenaeus indicus, a batch of hatchery bred quarantined animals was experimentally infected with the virus. Organs such as gills, foregut, mid-gut, hindgut, nerve, eye, heart, ovary and integument were examined by light and electron microscopy. Histopathological analyses revealed changes hitherto not reported in F. indicus such as lesions to the internal folding of gut resulted in syncytial mass sloughed off into lumen, thickening of hepatopancreatic connective tissue with vacuolization of tubules and necrosis of rectal pads in hindgut. Virus replication was seen in the crystalline tract region of the compound eye and eosinophilic granules infiltrated from its base. In the gill arch, dilation and disintegration of median blood vessel was observed. In the nervous tissues, encapsulation and subsequent atrophy of hypertrophied nuclei of the neurosecretory cells were found. Transmission electron microscopy showed viral replication and morphogenesis in cells of infected tissue. De novo formed vesicles covered the capsid forming a bilayered envelop opened at one end inside the virogenic stroma. Circular vesicles containing nuclear material was found fused with the envelop. Subsequent thickening of the envelop resulted in the fully formed virus. In this study, a correlation was observed between the stages of viral multiplication and the corresponding pathological changes in the cells during the WSV infection. Accordingly, gill and foregut tissues were found highly infected during the onset of clinical signs itself, and are proposed to be used as the tissues for routine disease diagnosis.

Mathematical Morphology on Hypergraphs Using Vertex-Hyperedge Correspondence

The focus of this paper is to develop computationally efficient mathematical morphology operators on hypergraphs. To this aim we consider lattice structures on hypergraphs on which we build morphological operators. We develop a pair of dual adjunctions between the vertex set and the hyperedge set of a hypergraph , by defining a vertex-hyperedge correspondence. This allows us to recover the classical notion of a dilation/erosion of a subset of vertices and to extend it to subhypergraphs of . This paper also studies the concept of morphological adjunction on hypergraphs for which both the input and the output are hypergraphs

Morphological filtering on hypergraphs

The focus of this article is to develop computationally efficient mathematical morphology operators on hypergraphs. To this aim we consider lattice structures on hypergraphs on which we build morphological operators. We develop a pair of dual adjunctions between the vertex set and the hyper edge set of a hypergraph H, by defining a vertex-hyperedge correspondence. This allows us to recover the classical notion of a dilation/erosion of a subset of vertices and to extend it to subhypergraphs of H. Afterward, we propose several new openings, closings, granulometries and alternate sequential filters acting (i) on the subsets of the vertex and hyperedge set of H and (ii) on the subhypergraphs of a hypergraph

Automatic Segmentation Framework for Primary Tumors From Brain MRIs Using Morphological Filtering Techniques

This paper describes a novel framework for automatic segmentation of primary tumors and its boundary from brain MRIs using morphological filtering techniques. This method uses T2 weighted and T1 FLAIR images. This approach is very simple, more accurate and less time consuming than existing methods. This method is tested by fifty patients of different tumor types, shapes, image intensities, sizes and produced better results. The results were validated with ground truth images by the radiologist. Segmentation of the tumor and boundary detection is important because it can be used for surgical planning, treatment planning, textural analysis, 3-Dimensional modeling and volumetric analysis

Coledocolitiasis gigante, factores predictores de éxito, fracaso del manejo endosópico. Hospital de la Samaritana 2009-2011

La prevalencia de coledocolitiasis es de un 10 a 20%. 10-20% tienen coledocolitiasis gigante, es decir presencia de cálculos mayores de 15 mm, aumentando la morbimortalidad por complicaciones. El objetivo principal fue determinar la frecuencia de coledocolitiasis gigante, la presencia de factores predictores del éxito o fracaso del manejo endoscópico. El éxito en el manejo endoscópico está entre 80 y 90%, un 20% requieren cirugía de exploración biliar. Se realizó la búsqueda de las variables utilizando el instrumento para la recolección de la información. Se realizó un análisis univariado y bivariado de las variables medidas y se utilizo STATA versión 10. Como principal resultado, se encontró que la frecuencia de coledocolitiasis gigante en nuestra población fue del 10%, el éxito del manejo endoscopio fue del 89.23% y el factor predictor mas fuerte para el éxito fue el diámetro del cálculo, siendo mayor para cálculos de menos de 19.09 mm. Como conclusión, en nuestro estudio, la frecuencia de coledocolitiasis gigante es cercana a la conocida en la literatura mundial. El manejo endoscópico en nuestro estudio es el pilar en estos casos, teniendo probabilidad de éxito en el manejo que es igual a la publicada en los estudios mundiales, que existe la probabilidad que el tamaño del cálculo mayor a 19 mm de diámetro indique mayor tasa de fracaso y requerimiento de técnicas endoscópicas avanzadas para su éxito. Se requieren estudios, con mayor número de pacientes para determinar la validez estadística de estos resultados.

Sobrevida y factores relacionados con reintervención en pacientes tratados con valvuloplastia aórtica con balón en la Fundación Cardioinfantil

Introducción: La valvuloplastía aórtica con balón (VAB) es el procedimiento de elección para el manejo de La estenosis valvular aórtica en pediatría. La mortalidad y la supervivencia libre de reintervenciones no han sido evaluadas en Colombia. Objetivo: Determinar la sobrevida global y los factores asociados de reintervención valvular aórtica (RVA) en los pacientes tratados con VAB en la Fundación Cardio infantil – Instituto de Cardiología entre febrero del 2005 y marzo del 2013. Métodos: estudio estudio analítico de cohorte Resultados: Se evaluaron 69 VAB. La edad promedio de realización fue de 74,89 meses. La relación hombre: mujer de 4:1. Un 30,5% de los pacientes tenían malformaciones cardiacas asociadas. Se presentaron complicaciones en 13% de las VAB. La presión sistólica del ventrículo izquierdo presento una reducción promedio de un 63,6%. Se siguieron el 81,2% de las VAB, encontrando a los 9 años de seguimiento, supervivencia de 89,2% y necesidad de RVA en 14,2% de las VAB, siendo más frecuentes en VAB con gradiente post-VAB mayor de 35 mmhg (p= 0.005), con un RR de 6.6. Los otros factores no mostraron relaciones estadísticamente significativas (edad, morfología valvular, malformaciones asociadas, insuficiencia aórtica post-VAB). Conclusiones: La VAB es eficaz en el manejo de la EVA congénita, con una mortalidad y supervivencia libre de RVA similares a las encontradas en estudios previamente publicados. El gradiente post VAB mayor de 35 mm hg fue el único factor de riesgo que se correlacionó con la supervivencia libre de RVA.

Failure to regulate: counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression

Although depressed mood is a normal occurrence in response to adversity in all individuals, what distinguishes those who are vulnerable to major depressive disorder (MDD) is their inability to effectively regulate negative mood when it arises. Investigating the neural underpinnings of adaptive emotion regulation and the extent to which such processes are compromised in MDD may be helpful in understanding the pathophysiology of depression. We report results from a functional magnetic resonance imaging study demonstrating left-lateralized activation in the prefrontal cortex (PFC) when downregulating negative affect in nondepressed individuals, whereas depressed individuals showed bilateral PFC activation. Furthermore, during an effortful affective reappraisal task, nondepressed individuals showed an inverse relationship between activation in left ventrolateral PFC and the amygdala that is mediated by the ventromedial PFC (VMPFC). No such relationship was found for depressed individuals, who instead show a positive association between VMPFC and amygdala. Pupil dilation data suggest that those depressed patients who expend more effort to reappraise negative stimuli are characterized by accentuated activation in the amygdala, insula, and thalamus, whereas nondepressed individuals exhibit the opposite pattern. These findings indicate that a key feature underlying the pathophysiology of major depression is the counterproductive engagement of right prefrontal cortex and the lack of engagement of left lateral-ventromedial prefrontal circuitry important for the downregulation of amygdala responses to negative stimuli.

Ultrastructural alterations in mesophyll and bundle sheath chloroplasts of two maize cultivars in response to chilling at high irradiance

Maize (Zea mays L.) seedlings of two cultivars (cv. Bastion adapted to W. Europe, and cv. Batan 8686 adapted to the highlands of Mexico), raised in a glasshouse (19-25 degrees C), were transferred to 4.5 or 9 degrees C at photon flux density (PPFD) of 950 mu mol m(-2) s(-1) with 10-h photoperiod for 58 h and then allowed to recover at 22 degrees C for 16 h (14 h dark and 2 h at PPFD of 180 mu mol m(-2) s(-1)). The ultrastructural responses after 4 h or 26 h at 4.5 degrees C were the disappearance of starch grains in the bundle sheath chloroplasts and the contraction of intrathylakoid spaces in stromal thylakoids of the mesophyll chloroplasts. At this time, bundle sheath chloroplasts of cv. Batan 8686 formed peripheral reticulum. Prolonged stress at 4.5 degrees C (50 h) caused plastid swelling and the dilation of intrathylakoid spaces, mainly in mesophyll chloroplasts. Bundle sheath chloroplasts of cv. Batan 8686 seedlings appeared well preserved in shape and structure. Batan 8686 had also higher net photosynthetic rates during chilling and recovery than Bastion. Extended leaf photobleaching developed during the recovery period after chilling at 4.5 degrees C. This was associated with collapsed chloroplast envelopes, disintegrated chloroplasts and very poor staining.

Surface properties and locations of gluten proteins and lipids revealed using confocal scanning laser microscopy in bread dough

Surface properties of gluten proteins were measured in a dilation test and in compression and expansion tests. The results showed that monomeric gliadin was highly surface active, but polymer glutenin had almost no surface activity. The locations of those proteins in bread dough were investigated using confocal scanning laser microscopy and compared with polar and nonpolar lipids. Added gluten proteins participated in the formation of the film or the matrix, surrounding and separating individual gas cells in bread dough. Gliadin was found in the bulk of dough and gas 'cell walls'. Glutenin was found only in the bulk dough. Polar lipids were present in the protein matrix and in gas 'cell walls', as well as at the surface of some particles, which appeared to be starch granules. However, nonpolar lipid mainly occur-red on the surface of particles, which may be starch granules and small lipid droplets. It is suggested that the locations of gluten proteins in bread dough depends on their surface properties. Polar lipid participates the formation of gluten protein matrix and gas 'cell walls'. Nonpolar lipids may have an effect on the rheological properties by associating with starch granule surfaces and may form lipid droplets. (C) 2004 Published by Elsevier Ltd.

Neural and wavelet network models for financial distress classification

This work analyzes the use of linear discriminant models, multi-layer perceptron neural networks and wavelet networks for corporate financial distress prediction. Although simple and easy to interpret, linear models require statistical assumptions that may be unrealistic. Neural networks are able to discriminate patterns that are not linearly separable, but the large number of parameters involved in a neural model often causes generalization problems. Wavelet networks are classification models that implement nonlinear discriminant surfaces as the superposition of dilated and translated versions of a single "mother wavelet" function. In this paper, an algorithm is proposed to select dilation and translation parameters that yield a wavelet network classifier with good parsimony characteristics. The models are compared in a case study involving failed and continuing British firms in the period 1997-2000. Problems associated with over-parameterized neural networks are illustrated and the Optimal Brain Damage pruning technique is employed to obtain a parsimonious neural model. The results, supported by a re-sampling study, show that both neural and wavelet networks may be a valid alternative to classical linear discriminant models.

Locally twisted cubes are 4-pancyclic

The locally twisted cube is a newly introduced interconnection network for parallel computing. Ring embedding is an important issue for evaluating the performance of an interconnection network. In this paper, we investigate the problem of embedding rings into a locally twisted cube. Our main contribution is to find that, for each integer l is an element of (4,5,...,2(n)}, a ring of length I can be embedded into an n-dimensional locally twisted cube so that both the dilation and the load factor are one. As a result, a locally twisted cube is Hamiltonian. We conclude that a locally twisted cube is superior to a hypercube in terms of ring embedding capability. (C) 2004 Elsevier Ltd. All rights reserved.