Microbial Products: Applications and Translational Trends offers complete coverage of the production of microbial products, including biopolymers, biofuels, bioactive compounds, and their applications in fields such as bioremediation, agriculture, medicine, and other industrial settings. This book focuses on multiple processes including upstream procedures and downstream processing, and the tools required for their production. Lab-scale development processes may not be as efficient when aiming for large-scale industrial production, so it is necessary to utilize in silico modeling tools for bioprocess design to ensure success at translational levels. Therefore, this book presents in silico and mathematical simulations and approaches used for such applications. Further, it examines microbial products produced from bacteria, fungi, and algae. These major microbial categories have the capacity to produce various, diverse secondary metabolites, bioactive compounds, enzymes, biopolymers, biofuels, probiotics, and more. The bioproducts examined in the book are of great social, medical, and agricultural benefit, and include examples of biodegradable polymers, biofuels, biofertilizers, and drug delivery agents. Presents approaches and tools that aid in the design of eco-friendly, efficient, and economic bioprocesses. Utilizes in silico and mathematical simulations for optimal bioprocess design. Examines approaches to be used for bioproducts from the lab scale to widely applied microbial biotechnologies. Presents the latest trends and technologies in the production approaches for microbial bio-products manufacture and application. This book is ideal for both researchers and academics, as it provides up-to-date knowledge of applied microbial biotechnology approaches for bio-products.

"Liberalization" is not just some policy option that the government chooses, like choosing a particular tariff rate or a particular price policy. It is a major episode in the history of class struggle. It corresponds to a new phase of world capitalism with new class configurations. To discuss the effects of "liberalization" without taking into account this entire class context, in terms exclusively of textbook propositions about the benefits of trade is both naive and banal. The thrust of the present wave of "liberalization" which is sweeping the entire third world is three-fold: to shift the balance away from the workers, peasants, petty producers and even small capitalists towards large capitalists both domestic and foreign; to shift the balance away from domestic capital in general towards foreign capital; and to shift the balance away from capital-in-production towards capital-as-finance. To be sure, different countries are at different stages in this process, which is carried forward by a combination of forces driven by international finance capital whose chief spokesmen are the Bretton Woods institutions.

"Human Rights" is not an abstract or ideal concept but it is very much a pragmatic concept about those Rights, which are considered essential for the survival, dignified life and development of all human beings. In 1993, the Parliament of India passed the Protection of Human Rights Act. The main purpose of the Act was to create the National Human Rights Commission (NHRC)-a proclaimed independent governmental body statutorily charged with ensuring that every individual's Constitutional Rights are protected by the Indian state. At the time of its announcement, NHRC met with lot of skepticisms. To some it was going to be a 'toothless tiger', while others found it to be a mere 'post-office' to provide a certificate of good behavior to the government for its wrong doings rather than to ensure better protection of Human Rights. Thanks to the Committee who prepared the draft of the Commission and made every attempt to keep it (NHRC) independent of political interference. Although NHRC is still searching its ground, yet it owns an extensive account of achievements during a short span of twenty years.

This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outlier Detection and K-means Algorithm." It provides efficient outlier detection and data clustering capabilities in the presence of outliers, and based on filtering of the data after univariate analysis. This algorithm is divided into two stages. The first stage provides Univariate outlier analysis. The main objective of the second stage is an iterative removal of objects, which are far away from their cluster centroids by applying K-means algorithm. The removal occurs according to the minimisation of the value of sum of the distances of all the points to their respective centroid in all the clusters. Finally, we provide experimental results from the application of our algorithm on several datasets to show its effectiveness and usefulness. The empirical results indicate that the proposed method was successful in detecting outliers and promising in practice.