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Virus is chemically a nucleoprotein that multiplies only in the living cells and has ability to cause disease. Nucleic acid may be RNA or DNA that is surrounded by a protective protein coat called capsid. Plant viruses may be elongated, spherical and bacilliform in shape. The nucleic acids RNA and DNA may be single stranded or double stranded. Nucleic acid % is lower in elongated viruses where as spherical viruses contain higher % of nucleic acid.
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Virus is chemically a nucleoprotein that multiplies only in the living cells and has ability to cause disease. Nucleic acid may be RNA or DNA that is surrounded by a protective protein coat called capsid. Plant viruses may be elongated, spherical and bacilliform in shape. The nucleic acids RNA and DNA may be single stranded or double stranded. Nucleic acid % is lower in elongated viruses where as spherical viruses contain higher % of nucleic acid.
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VIRUSES LIFE CYCLE OF BACTERIOPHAGES The word virus is derived from Latin word venom which means poisonous fluid that causes infection. The branch of science that deals with the study of viruses is called Virology. It is the branch of Microbiology. They show living characters inside the host and non living characters outside the host. They contain either DNA or RNA as genetic material. They have different size and shape. They cause diseases in plants, animals and micro-organisms . Not cellular Cannot carry on metabolic activities independently. Contain either DNA or RNA, not both ( true cells contain both ). Lack ribosomes and enzymes necessary for protein synthesis. Reproduce only within cells they infect. CLASSIFICATION OF VIRUSES Holmes, in 1948, proposed a simple system of classifying viruses based on the type of cell (host) they infect: Phytophagineae: They infect plants and they RNA as their genetic material. Eg: TMV,CaMV. Zoophagineae: They infect animals and they have mostly DNA as their genetic material. Eg: Polio virus. Pagineae: They infect bacterial cells, called bacteriophages they usually have DNA as genetic material. Based on the viral envelope Named after David Baltimore, a noble prize winning biologist n 1971. 1. dsDNA viruses Eg: Adenoviruses, Herpiviruses. 2. ssDNA viruses Eg: Paravoviruses. 3. dsRNA viruses Eg: Reoviruses. 4. (+)ssRNA viruses Eg: Picornaviruses. 5. (-)ssRNA viruses Eg: Orthomyxoviruses. 6. ssRNA-RT viruses Eg: Retroviruses. 7. dsDNA-RT viruses Eg: Hepadnaviruses. Tobacco mosaic: Causative agent: Tobacco mosaic virus (TMV) Symptoms: The leaves of infected plants develop mosaic patches ,it is due to destruction of chlorophyll or due to production of abnormal chlorophyll .blisters appear in the region of dark green spots these may be regular or irregular in advanced stages leaves curl and get distorted. Adsorption of the virion to the bacterial cell. Penetration and decoating of the nucleic acid . Protein synthesis. Breakdown of bacterial DNA. Arrest of host cell development. Replication of phage DNA. Maturation of infective progeny. Lysis and release of newly formed phages. Holmes, in 1948, proposed a simple system of classifying viruses based on the type of cell (host) they infect: Phytophagineae: They infect plants and they RNA as their genetic material. Eg: TMV,CaMV. Zoophagineae: They infect animals and they have mostly DNA as their genetic material. Eg: Polio virus. Pagineae: They infect bacterial cells, called bacteriophages they usually have DNA as genetic material.
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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
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The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.
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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
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In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
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