993 resultados para Soft law


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Maritime ports are inevitable for India’s economic development. The very existence and sustainable development of ports depend on clean port environment. There is a notion that shipping is an over regulated industry. But in India, it is being operated under sub- standard conditions, raising crucial issues of environmental pollution in the country’s ports. The negative impacts of vessel sourced pollution on the eco-fragile coastal peninsula can be detrimental to the living conditions, health and interests of the coastal population. It can disturb marine life and imbalance the aquatic ecosystem. The present study analyses control of vessel sourced pollution in Indian ports from an economic and ecological perspective. The study investigates legal reasons behind the weak control, regulation and monitoring over vessel sourced pollution in Indian ports. The loopholes in the legal system are identified and suggestion made to implement stronger enforcement. Unless, vessel operations are properly regulated in ports, the trade and economic prospects of India will be jeopardized.

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Post-transcriptional gene silencing by RNA interference is mediated by small interfering RNA called siRNA. This gene silencing mechanism can be exploited therapeutically to a wide variety of disease-associated targets, especially in AIDS, neurodegenerative diseases, cholesterol and cancer on mice with the hope of extending these approaches to treat humans. Over the recent past, a significant amount of work has been undertaken to understand the gene silencing mediated by exogenous siRNA. The design of efficient exogenous siRNA sequences is challenging because of many issues related to siRNA. While designing efficient siRNA, target mRNAs must be selected such that their corresponding siRNAs are likely to be efficient against that target and unlikely to accidentally silence other transcripts due to sequence similarity. So before doing gene silencing by siRNAs, it is essential to analyze their off-target effects in addition to their inhibition efficiency against a particular target. Hence designing exogenous siRNA with good knock-down efficiency and target specificity is an area of concern to be addressed. Some methods have been developed already by considering both inhibition efficiency and off-target possibility of siRNA against agene. Out of these methods, only a few have achieved good inhibition efficiency, specificity and sensitivity. The main focus of this thesis is to develop computational methods to optimize the efficiency of siRNA in terms of “inhibition capacity and off-target possibility” against target mRNAs with improved efficacy, which may be useful in the area of gene silencing and drug design for tumor development. This study aims to investigate the currently available siRNA prediction approaches and to devise a better computational approach to tackle the problem of siRNA efficacy by inhibition capacity and off-target possibility. The strength and limitations of the available approaches are investigated and taken into consideration for making improved solution. Thus the approaches proposed in this study extend some of the good scoring previous state of the art techniques by incorporating machine learning and statistical approaches and thermodynamic features like whole stacking energy to improve the prediction accuracy, inhibition efficiency, sensitivity and specificity. Here, we propose one Support Vector Machine (SVM) model, and two Artificial Neural Network (ANN) models for siRNA efficiency prediction. In SVM model, the classification property is used to classify whether the siRNA is efficient or inefficient in silencing a target gene. The first ANNmodel, named siRNA Designer, is used for optimizing the inhibition efficiency of siRNA against target genes. The second ANN model, named Optimized siRNA Designer, OpsiD, produces efficient siRNAs with high inhibition efficiency to degrade target genes with improved sensitivity-specificity, and identifies the off-target knockdown possibility of siRNA against non-target genes. The models are trained and tested against a large data set of siRNA sequences. The validations are conducted using Pearson Correlation Coefficient, Mathews Correlation Coefficient, Receiver Operating Characteristic analysis, Accuracy of prediction, Sensitivity and Specificity. It is found that the approach, OpsiD, is capable of predicting the inhibition capacity of siRNA against a target mRNA with improved results over the state of the art techniques. Also we are able to understand the influence of whole stacking energy on efficiency of siRNA. The model is further improved by including the ability to identify the “off-target possibility” of predicted siRNA on non-target genes. Thus the proposed model, OpsiD, can predict optimized siRNA by considering both “inhibition efficiency on target genes and off-target possibility on non-target genes”, with improved inhibition efficiency, specificity and sensitivity. Since we have taken efforts to optimize the siRNA efficacy in terms of “inhibition efficiency and offtarget possibility”, we hope that the risk of “off-target effect” while doing gene silencing in various bioinformatics fields can be overcome to a great extent. These findings may provide new insights into cancer diagnosis, prognosis and therapy by gene silencing. The approach may be found useful for designing exogenous siRNA for therapeutic applications and gene silencing techniques in different areas of bioinformatics.

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The right to food has become a pillar of international humanitarian and human rights law. The increasing number of food-related emergencies and the evolution of the international order brought the more precise notion of food security and made a potential right to receive food aid emerge. Despite this apparent centrality, recent statistics show that a life free from hunger is for many people all over the world still a utopian idea. The paper will explore nature and content of the right to food, food security and food aid under international law in order to understand the reasons behind the substantial failure of this right-centred approach, emphasising the lack of legal effects of many food-related provisions because of excessive moral connotations of the right to be free from hunger. Bearing in mind the three-dimensional nature of food security, the paper will also suggest that all attention has been focused on the availability of food, while real difficulties arise in terms of accessibility and adequacy. Emergency situations provide an excellent example of this unbalance, as the emerging right to receive food aid focus itself on the availability of food, without improving local production and adequacy. Looking at other evolving sectors of international law, such as the protection of the environment, and particularly the safeguard of biological diversity, alternative solutions will be envisaged in order to “feed” the right to food.

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Web Science lecture about the impact of law on the web and vice versa.

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La monografía analiza la política exterior de China en África subsahariana a la luz de las políticas blandas implementadas por China en la región y su relación con los intereses nacionales chinos; específicamente en Angola, Nigeria y Sudán en el período 2002 – 2009.

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Este documento muestra la posibilidad del resurgimiento de la teoria del Soft Power en el siglo XXI en Latinoamerica, especificamente en Venezuela. Se desarrolla la idea de la construccion y el posicionamiento hegemonico de Venezuela a traves de la Naturaleza cambiante del poder y sus recursos intangibles. Todo esto aplicado a traves del ALBA en el periodo de 2005 a 2008.

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Estados Unidos ha tenido un papel protagónico y determinante en el Sistema Internacional en especial durante el periodo de la Guerra Fría, en el cual logró su status hegemónico. Es por esto, que su influencia en el mundo se ha ido configurando y el Soft Power como elemento de poder ha permitido plantear los objetivos y metas en torno a su política interna y su Política exterior, lo cual ha beneficiado su condición como superpotencia.