Studies on some aspects of the reproductive physiology of the female grey mullet mugil cephalus l.

Aquaculture is the dynamic pursuit of production of organisms from water a process analogous to agriculture on land. The field of aquaculture is an emerging bioindustry, based upon the culture and husbandry of economically utilizable aquatic organisms. Of late, there has been a global upsurge for aquaculture, the main reasons for which include the requirement of protein source for the increasing world population, the decision by various world nations to increase the fish yield by developing unutilized or partially utilized water bodies and depletion of natural stock which is evident in recent years due to excessive exploitation .The present study has been taken up on the reproductive physiology of the female grey mullet, M. cephalus. The thesis is presented in seven chapters. In the present study, variations in the major biochemical parameters namely, moisture, proteins, lipids, carbohydrates cholesterol, carotenoid, ash, calcium and iron in four tissues E. muscle, liver, ovary and bloodserum of cephalus have been analysed at different maturity stages.

”Public Health Protection through Air Quality Controls”

Health is an important aspect of everybody’s life. Today, there is an increasing recognition and commitment to the pursuit of health both within government and beyond. Any attempt on the part of the " State to protect and promote people’s health, in turn, must be accompanied by effective controls on air quality, as air constitutes ‘ one of the important elements of man’s life and the consequences of air pollution covers a very wide spectrum ranging from material ---damage to personal discomfort and illness. The broad social and economic objectives adumbrated in the Directive Principles of State Policy including the commitment to improve public health underlying in Article 47 and the obligation to preserve and protect-the natural environment cast under Article 48A of the Constitution are being used as versatile weapons by the State to regulate the public health scenario. Preservation and maintenance of air quality is a significant area within the sphere of public health, where the regulatory arm of the law is not adequately touched and in this arena urgent State intervention through legislative and administrative action is called for in the well-being of the society. Judiciary also plays a pivotal role in this arena in the larger interest of the society and for the benefit of the present and future generations. The research study is an attempt to analyze how far the existing legal system, for maintaining air quality and in controlling air pollution, is effective in protecting public health. The study also analyzes the limitations of the control mechanisms. The study focuses on industrial air pollution, indoor and personal air pollution, vehicular pollution and noise pollution which are today appearing as the major public health hazards affecting the air quality. However, this is not to overlook the importance of controls required under other areas of public health.

A study on the performance of flexible pavements on mature soil subgrades

The country has witnessed tremendous increase in the vehicle population and increased axle loading pattern during the last decade, leaving its road network overstressed and leading to premature failure. The type of deterioration present in the pavement should be considered for determining whether it has a functional or structural deficiency, so that appropriate overlay type and design can be developed. Structural failure arises from the conditions that adversely affect the load carrying capability of the pavement structure. Inadequate thickness, cracking, distortion and disintegration cause structural deficiency. Functional deficiency arises when the pavement does not provide a smooth riding surface and comfort to the user. This can be due to poor surface friction and texture, hydro planning and splash from wheel path, rutting and excess surface distortion such as potholes, corrugation, faulting, blow up, settlement, heaves etc. Functional condition determines the level of service provided by the facility to its users at a particular time and also the Vehicle Operating Costs (VOC), thus influencing the national economy. Prediction of the pavement deterioration is helpful to assess the remaining effective service life (RSL) of the pavement structure on the basis of reduction in performance levels, and apply various alternative designs and rehabilitation strategies with a long range funding requirement for pavement preservation. In addition, they can predict the impact of treatment on the condition of the sections. The infrastructure prediction models can thus be classified into four groups, namely primary response models, structural performance models, functional performance models and damage models. The factors affecting the deterioration of the roads are very complex in nature and vary from place to place. Hence there is need to have a thorough study of the deterioration mechanism under varied climatic zones and soil conditions before arriving at a definite strategy of road improvement. Realizing the need for a detailed study involving all types of roads in the state with varying traffic and soil conditions, the present study has been attempted. This study attempts to identify the parameters that affect the performance of roads and to develop performance models suitable to Kerala conditions. A critical review of the various factors that contribute to the pavement performance has been presented based on the data collected from selected road stretches and also from five corporations of Kerala. These roads represent the urban conditions as well as National Highways, State Highways and Major District Roads in the sub urban and rural conditions. This research work is a pursuit towards a study of the road condition of Kerala with respect to varying soil, traffic and climatic conditions, periodic performance evaluation of selected roads of representative types and development of distress prediction models for roads of Kerala. In order to achieve this aim, the study is focused into 2 parts. The first part deals with the study of the pavement condition and subgrade soil properties of urban roads distributed in 5 Corporations of Kerala; namely Thiruvananthapuram, Kollam, Kochi, Thrissur and Kozhikode. From selected 44 roads, 68 homogeneous sections were studied. The data collected on the functional and structural condition of the surface include pavement distress in terms of cracks, potholes, rutting, raveling and pothole patching. The structural strength of the pavement was measured as rebound deflection using Benkelman Beam deflection studies. In order to collect the details of the pavement layers and find out the subgrade soil properties, trial pits were dug and the in-situ field density was found using the Sand Replacement Method. Laboratory investigations were carried out to find out the subgrade soil properties, soil classification, Atterberg limits, Optimum Moisture Content, Field Moisture Content and 4 days soaked CBR. The relative compaction in the field was also determined. The traffic details were also collected by conducting traffic volume count survey and axle load survey. From the data thus collected, the strength of the pavement was calculated which is a function of the layer coefficient and thickness and is represented as Structural Number (SN). This was further related to the CBR value of the soil and the Modified Structural Number (MSN) was found out. The condition of the pavement was represented in terms of the Pavement Condition Index (PCI) which is a function of the distress of the surface at the time of the investigation and calculated in the present study using deduct value method developed by U S Army Corps of Engineers. The influence of subgrade soil type and pavement condition on the relationship between MSN and rebound deflection was studied using appropriate plots for predominant types of soil and for classified value of Pavement Condition Index. The relationship will be helpful for practicing engineers to design the overlay thickness required for the pavement, without conducting the BBD test. Regression analysis using SPSS was done with various trials to find out the best fit relationship between the rebound deflection and CBR, and other soil properties for Gravel, Sand, Silt & Clay fractions. The second part of the study deals with periodic performance evaluation of selected road stretches representing National Highway (NH), State Highway (SH) and Major District Road (MDR), located in different geographical conditions and with varying traffic. 8 road sections divided into 15 homogeneous sections were selected for the study and 6 sets of continuous periodic data were collected. The periodic data collected include the functional and structural condition in terms of distress (pothole, pothole patch, cracks, rutting and raveling), skid resistance using a portable skid resistance pendulum, surface unevenness using Bump Integrator, texture depth using sand patch method and rebound deflection using Benkelman Beam. Baseline data of the study stretches were collected as one time data. Pavement history was obtained as secondary data. Pavement drainage characteristics were collected in terms of camber or cross slope using camber board (slope meter) for the carriage way and shoulders, availability of longitudinal side drain, presence of valley, terrain condition, soil moisture content, water table data, High Flood Level, rainfall data, land use and cross slope of the adjoining land. These data were used for finding out the drainage condition of the study stretches. Traffic studies were conducted, including classified volume count and axle load studies. From the field data thus collected, the progression of each parameter was plotted for all the study roads; and validated for their accuracy. Structural Number (SN) and Modified Structural Number (MSN) were calculated for the study stretches. Progression of the deflection, distress, unevenness, skid resistance and macro texture of the study roads were evaluated. Since the deterioration of the pavement is a complex phenomena contributed by all the above factors, pavement deterioration models were developed as non linear regression models, using SPSS with the periodic data collected for all the above road stretches. General models were developed for cracking progression, raveling progression, pothole progression and roughness progression using SPSS. A model for construction quality was also developed. Calibration of HDM–4 pavement deterioration models for local conditions was done using the data for Cracking, Raveling, Pothole and Roughness. Validation was done using the data collected in 2013. The application of HDM-4 to compare different maintenance and rehabilitation options were studied considering the deterioration parameters like cracking, pothole and raveling. The alternatives considered for analysis were base alternative with crack sealing and patching, overlay with 40 mm BC using ordinary bitumen, overlay with 40 mm BC using Natural Rubber Modified Bitumen and an overlay of Ultra Thin White Topping. Economic analysis of these options was done considering the Life Cycle Cost (LCC). The average speed that can be obtained by applying these options were also compared. The results were in favour of Ultra Thin White Topping over flexible pavements. Hence, Design Charts were also plotted for estimation of maximum wheel load stresses for different slab thickness under different soil conditions. The design charts showed the maximum stress for a particular slab thickness and different soil conditions incorporating different k values. These charts can be handy for a design engineer. Fuzzy rule based models developed for site specific conditions were compared with regression models developed using SPSS. The Riding Comfort Index (RCI) was calculated and correlated with unevenness to develop a relationship. Relationships were developed between Skid Number and Macro Texture of the pavement. The effort made through this research work will be helpful to highway engineers in understanding the behaviour of flexible pavements in Kerala conditions and for arriving at suitable maintenance and rehabilitation strategies. Key Words: Flexible Pavements – Performance Evaluation – Urban Roads – NH – SH and other roads – Performance Models – Deflection – Riding Comfort Index – Skid Resistance – Texture Depth – Unevenness – Ultra Thin White Topping

Crisis or failure of hegemonic masculinities in David Lodge’s Campus Trilogy

This bachelor’s thesis examines the crisis of hegemonic masculinities in David Lodge’s Campus Trilogy. In the course of the thesis, I demonstrate that the male characters in the novels aspire to hegemonic ideals of masculinity, but that ultimately most of them fail in their aspirations. However, I also show that this does not lead to the abandonment of this pursuit, but merely to its reformulation and a continued attempt of male characters to aspire to this reformulated ideal. In order to achieve this, I conduct a close reading of the novels and based on this, first determine the predominant types of hegemonic masculinities in each novel, and then whether certain characters aspire to these hegemonic ideals. Next I analyze whether or not they are successful. This analysis is chiefly based on the sociological concept of hegemonic masculinities developed by Connell. With the help of this concept, this thesis shows that several types of masculinities can be identified in the novels and that these exist in hierarchical relation to each other. Furthermore, it shows that these aspirations and the ideals themselves are always prone to crises that are brought on by societal changes in their environment. However, it is also demonstrated that in most cases these crises do not lead to the collapse of the ideal or the failure of its pursuit, but rather to the reformulation and continuation of both.

Local food security initiatives: systemic limitations in Vancouver, Canada

This paper approaches the topic of urban/community gardening not through the lens of urban theory per se but in light of basic farming realities such as growing season and land availability. Food security comprises availability and affordability. In the context of North American and Western European societies, only food affordability normally merits public discourse. In practice, governments have little or no means to change food affordability, in view of prevailing capitalistic free-market structures. In the current wave of popular exuberance, civic politicians and others have promoted the belief that community gardening could be the pathway to produce affordable food. The formidable obstacles to this pursuit include the availability of (low-cost) land within the highly-densified city limit, insufficient ambient temperature and water supply during the growing season and the contemporary structure of society. Overcoming these fundamental hurdles carries significant negative environmental and economic consequences.

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much broader range of approximation schemes, including many of the popular general additive models, Breiman's hinge functions and some forms of Projection Pursuit Regression. In the probabilistic interpretation of regularization, the different classes of basis functions correspond to different classes of prior probabilities on the approximating function spaces, and therefore to different types of smoothness assumptions. In the final part of the paper, we also show a relation between activation functions of the Gaussian and sigmoidal type.

Notes on PCA, Regularization, Sparsity and Support Vector Machines

We derive a new representation for a function as a linear combination of local correlation kernels at optimal sparse locations and discuss its relation to PCA, regularization, sparsity principles and Support Vector Machines. We first review previous results for the approximation of a function from discrete data (Girosi, 1998) in the context of Vapnik"s feature space and dual representation (Vapnik, 1995). We apply them to show 1) that a standard regularization functional with a stabilizer defined in terms of the correlation function induces a regression function in the span of the feature space of classical Principal Components and 2) that there exist a dual representations of the regression function in terms of a regularization network with a kernel equal to a generalized correlation function. We then describe the main observation of the paper: the dual representation in terms of the correlation function can be sparsified using the Support Vector Machines (Vapnik, 1982) technique and this operation is equivalent to sparsify a large dictionary of basis functions adapted to the task, using a variation of Basis Pursuit De-Noising (Chen, Donoho and Saunders, 1995; see also related work by Donahue and Geiger, 1994; Olshausen and Field, 1995; Lewicki and Sejnowski, 1998). In addition to extending the close relations between regularization, Support Vector Machines and sparsity, our work also illuminates and formalizes the LFA concept of Penev and Atick (1996). We discuss the relation between our results, which are about regression, and the different problem of pattern classification.

Sparse Correlation Kernel Analysis and Reconstruction

This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis functions. The basis functions that we use are the correlation functions of the class of signals we are analyzing. To choose the appropriate features from this large dictionary, we use Support Vector Machine (SVM) regression and compare this to traditional Principal Component Analysis (PCA) for the tasks of signal reconstruction, superresolution, and compression. The testbed we use in this paper is a set of images of pedestrians. This paper also presents results of experiments in which we use a dictionary of multiscale basis functions and then use Basis Pursuit De-Noising to obtain a sparse, multiscale approximation of a signal. The results are analyzed and we conclude that 1) when used with a sparse representation technique, the correlation function is an effective kernel for image reconstruction and superresolution, 2) for image compression, PCA and SVM have different tradeoffs, depending on the particular metric that is used to evaluate the results, 3) in sparse representation techniques, L_1 is not a good proxy for the true measure of sparsity, L_0, and 4) the L_epsilon norm may be a better error metric for image reconstruction and compression than the L_2 norm, though the exact psychophysical metric should take into account high order structure in images.

A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks

We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis functions, multilayer perceptrons, and projection pursuit. To illustrate practical relevance, we also apply our approach to S&P 500 futures options data from 1987 to 1991.

An Equivalence Between Sparse Approximation and Support Vector Machines

In the first part of this paper we show a similarity between the principle of Structural Risk Minimization Principle (SRM) (Vapnik, 1982) and the idea of Sparse Approximation, as defined in (Chen, Donoho and Saunders, 1995) and Olshausen and Field (1996). Then we focus on two specific (approximate) implementations of SRM and Sparse Approximation, which have been used to solve the problem of function approximation. For SRM we consider the Support Vector Machine technique proposed by V. Vapnik and his team at AT&T Bell Labs, and for Sparse Approximation we consider a modification of the Basis Pursuit De-Noising algorithm proposed by Chen, Donoho and Saunders (1995). We show that, under certain conditions, these two techniques are equivalent: they give the same solution and they require the solution of the same quadratic programming problem.

Impacto del conflicto armado en la frontera colombo-ecuatoriana y las implicaciones en sus relaciones diplomáticas a partir de la implementación del Plan Colombia hasta diciembre de 2009

Históricamente, las fronteras colombianas han sido porosas, frágiles y descuidadas desde una perspectiva política. La extrema pobreza y la ausencia de instituciones estatales han dejado a las poblaciones vulnerables ante diversos actores armados y a merced de las actividades ilícitas, que inevitablemente se desbordan y afectan los territorios vecinos. El desborde de los efectos del conflicto armado a territorio ecuatoriano, los enfrentamientos e incursiones del ejército colombiano, y la presencia de actores no estatales como los grupos al margen de la ley, han hecho que las relaciones bilaterales se minen, dañando lo que alguna vez fue una cordialidad constructiva entre Colombia y Ecuador. Para analizar esta problemática, se utilizaron las teorías de las relaciones internacionales de Interdependencia y seguridad cooperativa.

Posibilidades de un proceso de paz en Colombia de conformidad con los principios de verdad, justicia y reparación : el caso de las AUC

Los países que salen de conflictos armados internos deben afrontar el reto de lograr el equilibrio entre los acuerdos para establecer la paz de un lado y la búsqueda de la justicia y la reconciliación de otro. En realidad, los procesos de justicia y reconciliación están bajo la influencia de numerosos factores entre los cuales se cuentan el impacto del conflicto, los recursos disponibles, el grado de voluntad política, la capacidad institucional, las normas legales, entre otros. En este contexto, la justicia transicional, la reparación, las reformas institucionales, la cooperación con la comunidad internacional y la búsqueda de una paz sostenible son temas importantes. Esta monografía se centra en el dilema entre el derecho de las víctimas a la justicia y el derecho a vivir en paz en un régimen democrático con base en el proceso que adelanta el Gobierno con grupos paramilitares.

El papel de los actores internacionales ante la situación de la seguridad humana en un país con conflicto armado. Caso de estudio : Sudán

Sudán afronta una grave crisis humanitaria, en la que actores internacionales han intervenido por una mejora en la situación de la seguridad humana. Sin embargo, esta intención altruista esconde los intereses reales de Estados como Chad, Estados Unidos y China, quienes a través de la Unión Africana y las Naciones Unidas buscaron legitimar sus actuaciones en búsqueda de intereses políticos, económicos o geoestratégicos.

Lipoinyección laríngea en el tratamiento de parálisis vocal

Introducción. La parálisis de pliegue vocal unilateral constituye una de las causas de incompetencia glótica, presentando síntomas como disfonía, tos crónica, aspiración y fonastenia, afectando de forma significativa el desempeño y calidad de vida del paciente. Según las diversas corrientes de trabajo se ha manejado esta patología con terapia vocal como coadyuvante en opciones quirúrgicas como la laringoplastia de inyección. Objetivo. Realizar seguimiento clínico de pacientes con parálisis vocal unilateral que consultan al Hospital Universitario de la Samaritana centro de referencia de III nivel de Cundinamarca. Materiales y Métodos. Se toma una población de 36 pacientes aleatorizados en dos grupos cuyas intervenciones son manejo con terapia vocal (conservador) y laringoplastia de inyección con grasa. Resultados. Cierre glótico postratamiento mayor en el grupo de intervención médica con terapia vocal ( promedio 10-20 sesiones ) donde se logró un cierre completo en el 77,8% de los pacientes comparado con 33,3% en el grupo de intervención quirúrgico . Conclusión. Es preciso realizar detección temprana, establecer la etiología en nuestra población e instauración de una terapéutica oportuna como el manejo conservador con terapia vocal para disminuir los malos hábitos fonatorios adoptados por estos pacientes, establecer un manejo adecuado para mejorar los síntomas clínicos y generar políticas preventivas para minimizar las complicaciones inherentes a la patología.

De la naturaleza contractual del arbitramento como método alternativo de soluciones

Con el paso del tiempo y la evolución de los distintos modelos jurídicos se han venido originando fenómenos alternos a la justicia interna de cada país para la solución de conflictos, generalizando las decisiones a todos los conflictos jurídicos de las personas, sin importar a que sistema jurídico pertenece. Es así, como llega a incorporarse a nuestro modelo jurídico el Arbitraje, un método alternativo de solución de conflictos a través del cual las partes involucradas en un conflicto de carácter transigible, deciden llevar sus controversias ante un tribunal arbitral, el cual queda transitoriamente investido de la facultad de administrar justicia, profiriendo una decisión denominada laudo arbitral.