Isolation, production, purification, assay and characterization of fibrinolytic enzymes (Nattokinase, Streptokinase and Urokinase) from bacterial sources

Nattokinase, Streptokinase and Urokinase are novel fibrinolytic enzymes which are isolated from Bacillus subtilis, β-haemolytic Streptococci and urine sample. The fibrinolytic enzyme Nattokinase, Streptokinase and Urokinase was purified from supernatant of Bacillus subtilis, β-haemolytic Streptococci and recombinant E.coli containing short fragment genomic DNA of Pseudomonas sp. Culture broth and showed thermophilic, hydrophilic, and strong fibrinolytic activity. The optimum temperature and pH of Nattokinase, Streptokinase and Urokinase were 37-55°C and 9, 27-37°C and 7 and 55°C and 9, respectively. The molecular weight of Nattokinase, Streptokinase and Urokinase was approximately 28 kDa, 47 kDa and 34 kDa, respectively, as determined by sodium dodecyl sulfatepolyacrylamide gel electrophoresis. The caseinolytic activity of Nattokinase, Streptokinase and Urokinase were 576.73 U, 467.73 U and 785.73 U, respectively, while fibrinolytic activity achieved by fibrin plate method were 10 U, 5 U and 15 U, respectively.Key words: Anticoagulant activity, submerge fermentation, fibrinolytic enzyme activity, protein fraction precipitation, casein, serum and plasminogen plate technique, enzyme thermodynamics, haemolytic activity, enzyme screening, expression system, zymography, Edman degradation

Manifestation and outcome of concurrent malaria and dengue infection

Objective: Studies on concurrent infection of dengue and malaria are uncommon in India. Therefore, in this study,we compared the clinical features and outcome of concurrent infection with mono-infection of dengue and malaria.Methods: All the patients of fever within 7 days duration were investigated for dengue, malaria and other causesof fever. Patients of concurrent dengue and malaria (Group A) were compared with dengue mono-infection (GroupB) and malaria mono-infection (Group C). Biochemical and haematological investigations were done and compared.Results: During the study period 367 patients of dengue were admitted. Concurrent infection of dengue andmalaria was found in 27 (7.4%) patients. There were 27 (5.8), 340 (72.5), and 102 (21.7%) patients in Groups A,B, and C respectively. The clinical features of concurrent infection were more like dengue than malaria. Unlikemalaria the outcome of concurrent infection is good.Conclusion: Concurrent infection of dengue and malaria is not uncommon. For the diagnosis investigations forboth the infections should be carried out routinely

Emergence of hyperons in failed supernovae: trigger of the black hole formation

We investigate the emergence of strange baryons in the dynamical collapse of a non-rotating massive star to a black hole by the neutrino-radiation hydrodynamical simulations in general relativity. By following the dynamical formation and collapse of nascent proto-neutron star from the gravitational collapse of a 40Msun star adopting a new hyperonic EOS table, we show that the hyperons do not appear at the core bounce but populate quickly at ~0.5-0.7 s after the bounce to trigger the re-collapse to a black hole. They start to show up off center owing to high temperatures and later prevail at center when the central density becomes high enough. The neutrino emission from the accreting proto-neutron star with the hyperonic EOS stops much earlier than the corresponding case with a nucleonic EOS while the average energies and luminosities are quite similar between them. These features of neutrino signal are a potential probe of the emergence of new degrees of freedom inside the black hole forming collapse.Comment: 11 pages, 3 figures, accepted for publication in ApJ

Plan or React? Analysis of Adaptation Costs and Benefits Using Integrated Assessment Models

This report examines adaptation and mitigation within an integrated framework. Global and regional costs of adaptation are assessed dynamically and the resulting benefits are quantified. This is accomplished by developing a framework to incorporate adaptation as a policy variable within three Integrated Assessment Models (IAMs); the global Dynamic Integrated model of Climate and the Economy (DICE), the Regional Integrated model of Climate and the Economy (RICE), and the World Induced Technical Change Hybrid (WITCH) model. The framework developed here takes into account investments in reactive adaptation and in adaptation “stocks”, as well as investments in building adaptive capacity. This report presents the first inter-model comparison of results on adaptation costs using the emerging category of adaptation-IAMs. Results show that least-cost policy response to climate change will need to involve subsantial amounts of mitigation efforts, investments in adaptation stock, reactive adaptation measures and adaptive capacity to limit the remaining damages

State of the Art on Neural Rendering

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic images from hand-crafted scene representations. However, the automatic generation of shape, materials, lighting, and other aspects of scenes remains a challenging problem that, if solved, would make photo-realistic computer graphics more widely accessible. Concurrently, progress in computer vision and machine learning have given rise to a new approach to image synthesis and editing, namely deep generative models. Neural rendering is a new and rapidly emerging field that combines generative machine learning techniques with physical knowledge from computer graphics, e.g., by the integration of differentiable rendering into network training. With a plethora of applications in computer graphics and vision, neural rendering is poised to become a new area in the graphics community, yet no survey of this emerging field exists. This state-of-the-art report summarizes the recent trends and applications of neural rendering. We focus on approaches that combine classic computer graphics techniques with deep generative models to obtain controllable and photo-realistic outputs. Starting with an overview of the underlying computer graphics and machine learning concepts, we discuss critical aspects of neural rendering approaches. This state-of-the-art report is focused on the many important use cases for the described algorithms such as novel view synthesis, semantic photo manipulation, facial and body reenactment, relighting, free-viewpoint video, and the creation of photo-realistic avatars for virtual and augmented reality telepresence. Finally, we conclude with a discussion of the social implications of such technology and investigate open research problems

Chapter 14 - Regional development and cooperation

This chapter provides an assessment of knowledge and practice on regional development and cooperation to achieve climate change mitigation. It will examine the regional trends and dimensions of the mitigation challenge. It will also analyze what role regional initiatives, both with a focus on climate change and in other domains such as trade, can play in addressing these mitigation challenges. The regional dimension of mitigation was not explicitly addressed in the IPCC Fourth Assessment Report (AR4). Its discussion of policies, instruments, and cooperative agreements (Working Group III AR4, Chapter 13) was focused primarily on the global and national level. However, mitigation challenges and opportunities differ significantly by region. This is particularly the case for the interaction between development / growth opportunities and mitigation policies, which are closely linked to resource endowments, the level of economic development, patterns of urbanization and industrialization, access to finance and technology, and - more broadly - the capacity to develop and implement various mitigation options. There are also modes of regional cooperation, ranging from regional initiatives focused specifically on climate change (such as the emissions trading scheme (ETS) of the European Union (EU)) to other forms of cooperation in the areas of trade, energy, or infrastructure, that could potentially provide a platform for delivering and implementing mitigation policies. These dimensions will be examined in this chapter. Specifically, this chapter will address the following questions: - Why is the regional level important for analyzing and achieving mitigation objectives? - What are the trends, challenges, and policy options for mitigation in different regions? - To what extent are there promising opportunities, existing examples, and barriers for leapfrogging in technologies and development strategies to low-carbon development paths for different regions? - What are the interlinkages between mitigation and adaptation at the regional level? - To what extent can regional initiatives and regional integration and cooperation promote an agenda of low-carbon climate-resilient development? What has been the record of such initiatives, and what are the barriers? Can they serve as a platform for further mitigation activities