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IPL Online Quiz by Pragya; Question Set.

Pragya - UEM Kolkata Quiz Club

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MirzaAbrarBaig5

Program code examples (known also as worked examples) play a crucial role in learning how to program. Instructors use examples extensively to demonstrate the semantics of the programming language being taught and to highlight the fundamental coding patterns. Programming textbooks allocate considerable space to present and explain code examples. To make the process of studying code examples more interactive, CS education researchers developed a range of tools to engage students in the study of code examples. These tools include codecasts (codemotion,codecast,elicasts), interactive example explorers (WebEx, PCEX), and tutoring systems (DeepTutor). An important component in all types of worked examples is code explanations associated with specific code lines or code chunks of an example. The explanations connect examples with general programming knowledge explaining the role and function of code fragments or their behavior. In textbooks, these explanations are usually presented as comments in the code or as explanations on the margins. The example explorer tools allow students to examine these explanations interactively. Tutoring systems, which engage students in explaining the code, use these model explanations to check student responses and provide scaffolding. In all these cases, to make a worked example re-usable beyond its presentation in a lecture, the explanations have to be authored by instructors or domain experts i.e., produced and integrated into a specific system. As the experience of the last 10 years demonstrated, these explanations are hard to obtain. Those already collected are usually “locked” in a specific example-focused system and can’t be reused. The purpose of this working group is to support broader re-used of worked examples augmented with explanations. Our current plan is to develop а standard approach to represent explained examples. This approach will enable an example created for any of the existing systems to be explored in a standard format and imported into any other example-focused system. We plan to follow a successful experience of the PEML working group focused on re-using programming exercises.

SPLICE Working Group:Reusable Code Examples

Peter Brusilovsky

Mastering JNKVV Entrance Exam: Previous Year Question Paper Analysis for MSc Ag Genetics and Plant Breeding Welcome to our comprehensive guide to cracking the JNKVV Entrance Examination for MSc in Agricultural Genetics and Plant Breeding. we'll dive deep into the analysis of previous year question papers, providing you with valuable insights, tips, and strategies to excel in this competitive exam. The Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV) is one of India's premier agricultural universities, and gaining admission to its MSc program in Genetics and Plant Breeding is a significant achievement. This video aims to help you prepare effectively by analyzing past question papers, highlighting important topics, and suggesting the best study strategies. Understanding the Exam Pattern Before we delve into the questions, it's crucial to understand the structure of the JNKVV entrance exam. The exam typically comprises multiple-choice questions (MCQs) that test your knowledge across various domains of genetics and plant breeding. The key areas usually covered include: Fundamentals of Genetics: - Mendelian inheritance - Chromosome structure and function - Genetic variation and mutation Plant Breeding Techniques - Hybridization methods - Selection techniques - Breeding for disease resistance Molecular Genetics - DNA replication, transcription, and translation - Molecular markers in plant breeding - Genomics and genetic engineering 4. Quantitative Genetics: - Heritability and genetic advance - Statistical methods in plant breeding - QTL mapping #### Detailed Question Paper Analysis Now, let's analyze a previous year’s question paper to understand the types of questions asked and the best ways to approach them. Section 1: Fundamentals of Genetics Example Question: Which of the following is NOT a part of Mendel's Laws? - A) Law of Segregation - B) Law of Independent Assortment - C) Law of Dominance - D) Law of Uniformity Analysis: This question tests your basic understanding of Mendelian genetics. To tackle such questions, ensure you are well-versed with the core principles of genetics. Revising basic concepts from standard textbooks like "Principles of Genetics" by Gardner et al. can be highly beneficial. Section 2: Plant Breeding Techniques Example Question: In plant breeding, the method where two plants with desirable traits are crossed is known as: - A) Backcrossing - B) Hybridization - C) Mutation breeding - D) Polyploidy Analysis: Questions in this section often require applied knowledge of breeding techniques. Focus on understanding the different methods of plant breeding, their applications, and examples. Books like "Plant Breeding: Principles and Methods" by B.D. Singh can provide comprehensive coverage of these topics.

MSc Ag Genetics & Plant Breeding: Insights from Previous Year JNKVV Entrance ...

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Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45 Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-exploring-gemini-ai-and-integration-with-mulesoft/ Agenda ● Introduction ● Gemini AI & Gemini API ● Features & Capabilities ● MuleSoft Integration with Gemini ● Gemini Custom Connector ● Demo For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/ YouTube:- youtube.com/@mulesoftmysore Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N Speaker:- Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/ Priya Shaw - https://www.linkedin.com/in/priya-shaw Organizers:- Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/ Giridhar Meka - https://www.linkedin.com/in/giridharmeka Priya Shaw - https://www.linkedin.com/in/priya-shaw

Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45

MysoreMuleSoftMeetup

Orthodontic treatment involves a delicate balance of science and artistry, where precision is paramount for optimal outcomes. Join us for an enlightening presentation as we explore the nuanced concept of the "Envelope of Discrepancy" within the realm of orthodontics. In this session, we'll embark on a comprehensive journey through the challenges and intricacies of managing discrepancies in orthodontic diagnosis and treatment planning. From assessing dental and skeletal irregularities to understanding soft tissue dynamics, we'll dissect the multifaceted nature of discrepancies and their implications for treatment efficacy. Drawing upon the latest research and clinical insights, we'll unveil practical strategies and innovative techniques aimed at optimizing treatment outcomes while minimizing discrepancies. Whether you're a seasoned orthodontist or a budding practitioner, this presentation promises invaluable knowledge and actionable insights to elevate your practice and enhance patient satisfaction.

Envelope of Discrepancy in Orthodontics: Enhancing Precision in Treatment

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Borja Sotomayor

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