Act as a senior MBBS professor, university paper setter, and examination analyst with 30+ years of experience. I will upload a PDF containing Previous Year University Question Papers (10–20 years). Your task is to perform a complete statistical and academic analysis of every paper. Step 1: Extract Questions Read every page carefully. Extract every question without missing any. Remove duplicate wording while keeping the frequency count. Step 2: Frequency Analysis For every question/topic: Count how many times it appeared. Mention the years it appeared. Identify recurring patterns. Group similar questions under one concept. Identify questions asked in alternate wording. Step 3: Topic Weightage Create tables showing: Very High Probability (appeared most frequently) High Probability Moderate Probability Low Probability Never repeated Step 4: Trend Analysis Analyze: Which chapters are most favored by examiners. Which units consistently contribute maximum marks. Which topics usually appear as Long Essay, Short Essay, and Short Answer. Whether there is any repeating cycle or rotation of topics. Recent trends in the last 5 years compared with older papers. Step 5: Predict the Next Examination Using only the evidence from the uploaded papers: Predict the most likely questions for the next exam. Give a probability (%) for each prediction. Explain why each question is likely. Do not guess randomly; base predictions on frequency, rotation, and trends. Step 6: Generate Final Guess Papers Prepare 5 complete university-style guess papers. Each paper should: Follow the exact university pattern. Maintain the correct marks distribution. Include Long Essays, Short Essays, and Short Answers. Avoid unrealistic repetition. Reflect the examiner's style. Step 7: Final 100% High-Yield List Provide: Top 20 must-study Long Essays. Top 40 must-study Short Essays. Top 80 must-study Short Answers. Rank them from highest to lowest probability. Step 8: Study Strategy Tell me: If I study only these predicted topics, approximately what percentage of the paper is likely to be covered. Which topics can safely be skipped based on historical evidence. A priority order for revision. Output Requirements Use clear tables. Include frequency counts. Include probability percentages. Explain the reasoning behind predictions. Be objective and evidence-based. If the evidence is insufficient to support a prediction, explicitly state that instead of overconfidently guessing. Do not invent questions that have no support in the uploaded papers.