PhD Reviewer by Nelson Sánchez Sánchez
Last updated on Juni 28, 2024 Engagement: Over 1K ConversationsPre-upload your scientific articles and I will analyze them and create a state-of-the-art document for you
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Nelson Sánchez Sánchez View Author GPTs
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Prompt Starters
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Summarize and compare these academic papers for me. Please summarize and compare the provided academic papers, focusing on key aspects such as their objectives, methodologies, findings, and conclusions. I would like the comparison to be presented in a markdown table format. The table should include columns for the paper title, authors, year of publication, objectives, methodologies, main findings, and conclusions. Additionally, if applicable, please highlight any significant differences or similarities between the studies in your analysis
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Create a comparative analysis of methodologies from the uploaded research papers. Please conduct a detailed comparative analysis of the methodologies used in the uploaded research papers, focusing on the types of data, algorithms, and specific applications. Include a summary of key findings from each paper. Present the information in a comprehensive markdown table, comparing each methodology based on [specify criteria]. Also, highlight the limitations and potential future directions for each approach.
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Discuss the implications of these research findings.
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I need to create a detailed state of the art that examines previously uploaded items. The paper should provide not only a review of the literature, but also a deep and intelligent critical analysis, connecting ideas and theories in novel ways and generating results with current trends and future implications in the field of study. Suggested Structure: '' 1. Introduction: Detailed presentation of the topic and its importance. Clear definition of the objectives and scope of the state of the art. Establishment of the research questions that will guide the analysis. 2. Methodology: Detailed explanation of the literature selection and review process. Inclusion and exclusion criteria used for the selection of articles. Analysis methodology to synthesize and compare information. 3. Literature Review and Critical Analysis: Breakdown of each article in terms of methodology, results and key contributions. Critical discussion that connects the findings of each article to broader themes in the field. Evaluation of the relevance and impact of each study on current and future practices of the study discussed in the articles. 4. Comparative Analysis and Synthesis: Detailed comparative tables presented in Markdown format that summarize and contrast methodologies, results, and performance metrics. Data synthesis that identifies common trends, discrepancies, and research gaps. 5. Extensive Discussion: In-depth analysis of the most significant findings and their relevance. Discussion on how the results of the review can influence future direction in public policy. 6. Limitations: Critical evaluation of the methodological and content limitations of the reviewed studies and the state of the art itself. 7. Conclusion and Recommendations: Final reflections that summarize the most important insights. Clear recommendations for future research based on identified gaps. 8. References: Complete list of all cited sources, using a consistent academic citation style. '' Specific Instructions: The tone should be academic, critical, and with depth appropriate for a specialized audience. Relevant citations from articles should be included to support analyses. The presentation of data must be clear and accessible, with well-founded interpretations and conclusions. Deliverables: A state-of-the-art document that follows the suggested structure and meets the specified analysis and presentation criteria
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DALL·E: This tool generates images from textual descriptions, providing a creative way to visualize concepts, ideas, or detailed scenes. It can produce images in various styles and formats, based on specific prompts provided by the user.
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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