Advances in 2026 GPTs
التقدم في مولدات ٢٠٢٦
Selecting Research Topic
اختيار موضوع البحث
Scientific Writing
الكتابة العلمية
Methodology
المنهجية
Presentation of Results
عرض النتائج
Discussion
المناقشة
Conclusions & Recommendations
الاستنتاجات والتوصيات
Affiliations and Funds
الانتماءات والتمويل
References
المراجع
Selecting Research Topic
A) Interventions by the Researcher
1. Topic Finder Apps
Search Tools (Google Scholar, PubMed, etc.)
Traditional search engines and databases remain fundamental for topic exploration. These tools provide comprehensive coverage of published literature and enable researchers to identify gaps in current knowledge.
AI Tools Available:
AI Prompt:
As an expert research advisor, help me understand the most effective search strategies for identifying research topics in my field. Provide a comprehensive guide on using traditional search tools effectively, including advanced search techniques, database selection criteria, and methods for identifying research gaps. Focus on systematic approaches that ensure comprehensive coverage while avoiding information overload.
MCQ Questions:
1. Which search strategy is most effective for comprehensive topic exploration?
2. What is the primary advantage of using multiple databases?
Generative AI Tools (GPTs, etc.)
Modern AI tools can generate novel research ideas, suggest unexplored areas, and provide creative combinations of existing concepts. These tools excel at identifying interdisciplinary connections and emerging trends.
AI Tools Available:
AI Prompt:
I'm a medical student at 6th stage preparing for graduation research in Iraq 2025. Use your full review and search capabilities to list top 10 research topics related to top 10 health challenges in Iraq 2025, taking into consideration my capabilities, Iraqi environment, novelty-based research topics, focus, determinants, sample, study design, equipment, data, dataset, analysis, AI apps enhancement in each research step, feasibility, and rights requirements, ethics and safety. Please double-check with multiple AI sources for validation.
MCQ Questions:
1. What is the main advantage of using generative AI for topic selection?
2. When using AI for research topic generation, what is most important to consider?
Search Generative Tools (GPT Search, Claude 4.5 with search)
Hybrid tools that combine real-time search capabilities with AI generation provide the most current information while maintaining creative synthesis. These tools bridge the gap between traditional search and AI creativity.
AI Tools Available:
AI Prompt:
As an expert research methodology consultant, explain the optimal integration of search-enabled AI tools for research topic identification. Provide a framework for combining real-time search capabilities with AI synthesis to identify cutting-edge research opportunities. Include methods for validating AI-generated suggestions against current literature and emerging trends in the field.
MCQ Questions:
1. What makes search-generative AI tools particularly valuable for research topic selection?
2. When using hybrid search-AI tools, what validation step is crucial?
B) Self Review of Topics
1. Identify the Purpose and Source of Research
Research Purpose Categories
- Institutional requirements
- Solution for a problem
- Investigating an issue
- Knowledge or app development
- Educational purpose
Understanding the fundamental purpose behind research drives all subsequent methodological decisions and determines the scope, approach, and expected outcomes of the study.
AI Tools Available:
AI Prompt:
As a research methodology expert, provide a comprehensive framework for identifying and categorizing research purposes. Explain how different research purposes (institutional, problem-solving, investigative, developmental, educational) influence study design, methodology selection, and outcome expectations. Include practical decision trees and assessment criteria for determining the most appropriate research purpose classification for any given study.
MCQ Questions:
1. Which research purpose typically requires the most rigorous ethical approval process?
2. What is the primary difference between investigative and developmental research purposes?
2. Strategy of REVIEWING-NARROWING
A) REVIEWING: (Widening) Research Components
- F. Fields of research, background/context
- T. Topics of the field part
- G. Targets of the topic, problem focus
- S. Sample criteria Sampling Strategy
- D. Designs of the study
- I. Input independent variables
- O. Output, dependent variables
- M. Techniques used
- A. Analysis used
- R. Regulations and ethics
Combinatorial Options: OPTIONS = F × T × G × S × D × I × M × A × R
Reference Organizations: EARMA, EARIMA, ARMA, NCURA, SARIMA
AI Tools Available:
AI Prompt:
As a research design expert, explain the systematic application of the 10-component research framework (Fields, Topics, Targets, Sample, Designs, Input, Output, Methods, Analysis, Regulations). Provide detailed guidance on how to systematically review and expand research possibilities using this combinatorial approach. Include practical examples of how each component interacts with others and methods for managing the exponential complexity of OPTIONS = F × T × G × S × D × I × M × A × R.
MCQ Questions:
1. In the combinatorial research framework, what does the exponential growth of options primarily indicate?
2. Which component typically has the most restrictive influence on research options?
B) NARROWING: (Prioritization) - CAPABILITY-FEASIBILITY Based
AI-enhanced determination of capability to conduct research considers Resources (materials, money, expertise, equipment), Regulatory requirements, and Environmental factors.
Process Steps:
- Filtering OPTIONS within capability
- Filtering top 10 feasible options
- Applying BCR = Benefits/Costs analysis
- Selecting BCR best beyond 1.5 (Reference: ISO 31000:2018 - Risk)
AI Tools Available:
AI Prompt:
As a research feasibility analyst, provide a comprehensive framework for evaluating research capability and feasibility using AI-enhanced methods. Explain how to systematically assess resources, regulatory requirements, and environmental factors. Include detailed guidance on applying Benefit-Cost Ratio (BCR) analysis according to ISO 31000:2018 risk management principles, with practical tools for filtering and prioritizing research options based on feasibility scores.
MCQ Questions:
1. According to ISO 31000:2018, what BCR threshold indicates a viable research project?
2. In capability-feasibility assessment, which factor typically has the highest priority?
Scientific Writing
1. Journal Article Writing Standards
Structure and Word Allocation (4,500 words total - Scientific Reports standard, Nature maximum =4000)
Component Specifications
- Abstract: 200 words maximum
- Title: Maximum 20 words
- Introduction: 10% (~450 words)
- Methods: 15-35% (~675-1575 words)
- Results & Discussion: 35-65% combined (~1575-2925 words)
- Conclusion: Less than 10% (~450 words)
Typical Number of Pages
- Journal Articles, Studies:
- Natural and Applied Sciences: IEEE:8-12 pages, Nature:4-6 pages; more graphs, tables..
- Social Sciences: 20-40 pages, APA more literature review
- Humanities Sciences: 25-50 pages, Oxford essay
- Thesis:
- 150+ pages:intro:20, Review:60,Methodology:20, Results:30,Discussion:25..
Title Requirements
20 words of precise, accurate content containing:
- Determinants (dependent and independent variables)
- Target population (sample)
- Methods indication
- Avoid
1. Non-standard abbreviations like CA, NRP
2. Redundant phrases eg study of,
3. Fillers eg important, novel
4. Questions eg does drug cures?
5. Broad words eg some, several, various .....
whereas standard acronyms accepted eg DNA, RNA,ATP, MRI,CT PET scan,Chemicals CO2: in alignment with APA
Must be self-explanatory, inclusive, and exclusive
AI Tools Available:
AI Prompt:
As an expert scientific writing consultant, provide comprehensive guidance on journal article structure optimization. Explain how to effectively allocate word counts across different sections according to Scientific Reports standards, with specific focus on creating compelling 20-word titles that include determinants, target population, and methods. Include practical frameworks for balancing information density while maintaining clarity and adhering to journal requirements.
MCQ Questions:
1. In a 4,500-word journal article, what is the optimal word allocation for the Methods section?
2. A well-structured scientific title must include which essential components?
2. PhD Thesis Writing Standards
Extended Academic Writing (75,000 - 100,000 words - University of Sheffield standard)
PhD theses require comprehensive treatment of topics with extensive literature review, detailed methodology, thorough analysis, and significant original contribution to knowledge.
Thesis Structure
- Abstract (300-500 words)
- Introduction (5,000-8,000 words)
- Literature Review (15,000-25,000 words)
- Methodology (8,000-12,000 words)
- Results (15,000-20,000 words)
- Discussion (12,000-18,000 words)
- Conclusion (3,000-5,000 words)
Quality Standards
- Original contribution to knowledge
- Rigorous methodology
- Comprehensive literature coverage
- Critical analysis and synthesis
- Clear argumentation structure
- Professional presentation
AI Tools Available:
AI Prompt:
As a PhD supervisor and academic writing expert, provide comprehensive guidance on structuring and writing a doctoral thesis according to University of Sheffield standards (75,000-100,000 words). Include detailed frameworks for ensuring original contribution to knowledge, maintaining argumentation coherence across extended text, balancing depth with breadth in literature coverage, and integrating theoretical framework with empirical findings. Address strategies for managing the complexity of extended academic writing while maintaining scholarly rigor.
MCQ Questions:
1. What is the primary difference between PhD thesis and journal article structure?
2. In a PhD thesis, what proportion should the Literature Review typically comprise?
3. Introduction Writing Framework
General-to-Specific Approach (الأسلوب من العام إلى الخاص)
1. General Context (50% of specific research field)
Begin with close general context, not broad generalities. For example, when researching precise clinical indicators, start with lung cancer (close general) rather than "all of medicine" (too broad).
Include: definition, classification, importance, severity, impact, occurrence, prevalence, causes (statistical research), composition/components, mechanisms, clinical signs, laboratory indicators (diagnostic research), therapeutic effects (treatment research), available techniques, samples, research designs (general research).
2. Specific Field (Half the size of general field)
Focus on the specific determinant, new practical method, or new sample being investigated.
Each time include: definition, components, mechanism, importance, existing alternatives, weaknesses, special advantages.
3. Theoretical Overview of Model and Methods
Brief theoretical foundation for the approach.
4. Novelty, Development, Gap Resolution, and Hypothesis
Present the innovation and research hypothesis.
5. Objectives
Clear statement of research aims (sections 3, 4, 5 should equal the word count of the general field).
Reference Standards:
- Scribbr and Paperpal: Introduction must present topic, background, approach, problem, and objectives
- Nature Journal: Introduction sets "need", "what we have", "what we want", "comparison" point aims to do
- Thinkscience.co.jp: Structured approach guidelines
- University of Leeds: Structure your writing principles
- University of Hull: Introduction components and flow
AI Tools Available:
AI Prompt:
As an expert in scientific writing structure, provide comprehensive guidance on implementing the general-to-specific introduction framework. Explain how to systematically narrow focus from close general context (50% of specific field) through specific field discussion (half general size) to theoretical overview, novelty presentation, and objectives statement. Include practical strategies for word allocation, logical flow maintenance, and integration of multiple reference standards (Scribbr, Nature, University of Leeds, University of Hull guidelines) into a coherent introduction structure.
MCQ Questions:
1. In the general-to-specific introduction framework, what should be the relative size of the specific field section?
2. According to Nature journal standards, what key elements must an introduction establish?
Methodology
1. Models, Samples, and Study Design
Sample Selection and Design Framework
Sample Considerations
- Inclusion/Exclusion Criteria: Clear, justified parameters
- Sample Size: Statistical power analysis required
- Sample Handling: Processing, storage, retrieval protocols
- Biological Samples: Generations, treatments, storage conditions
- Quality Control: Auditing and genetic markers
Study Design Types
- Experimental studies
- Case studies
- Cross-sectional surveys
- Case-control studies
- Cohort studies
- Randomized Controlled Trials (RCT)
- Systematic Reviews
- Meta-analyses
AI Role in Methodology:
AI assists in identifying optimal criteria for sample selection, calculating ideal sample sizes, predicting statistical power, and recommending appropriate study designs based on research objectives and constraints.
AI Tools Available:
AI Prompt:
As a research methodology expert, provide comprehensive guidance on optimal sample selection and study design integration. Explain how to systematically determine inclusion/exclusion criteria, calculate statistically powerful sample sizes, select appropriate study designs for different research questions, and implement quality control measures. Include AI-enhanced approaches for methodology optimization and practical frameworks for ensuring research validity and reliability across different study types.
MCQ Questions:
1. What is the primary purpose of statistical power analysis in sample size determination?
2. Which study design provides the strongest evidence for causal relationships?
2. Materials, Equipment, and Procedures
Comprehensive Resource Documentation
Materials Documentation Requirements
- Origin, type, and supplying company
- Catalog number and Certificate of Analysis
- Expiry date and storage conditions
- Transport and packaging requirements
- Quality control and validity checking methods
- Physicochemical/biological characteristics
- Health and laboratory safety compliance
- Preparation methods and protocols
Equipment Specifications
- Model numbers and general description
- Parts and accessories inventory
- Origin and supplying company
- ISO certification and compliance
- Calibration and maintenance schedules
- Accuracy specifications and tolerances
- Operating principles and conditions
- Quality control check procedures
Procedure Documentation
Step-by-step, standardized procedures ensuring reproducibility and reliability. All protocols must be detailed enough for independent replication.
AI Tools Available:
AI Prompt:
As a laboratory management and research methodology specialist, provide comprehensive guidance on materials, equipment, and procedure documentation for research reproducibility. Explain systematic approaches to cataloging all research components, ensuring quality control, maintaining safety compliance, and creating detailed protocols that enable independent replication. Include frameworks for equipment validation, material traceability, and procedure standardization according to international research standards.
MCQ Questions:
1. What is the most critical aspect of materials documentation for research reproducibility?
2. Why is equipment calibration documentation essential in research methodology?
5. Ethics, Quality, and Safety
Comprehensive Ethical Framework
Ethical Approval and Documentation
- Helsinki Declaration compliance
- Bioethics principles adherence
- Institutional Review Board (IRB) approval
- Ethics committee documentation
- Informed consent protocols
- Participant confidentiality measures
Quality Control Measures
- Data validity assurance
- Procedural reliability checks
- Inter-rater reliability testing
- Equipment validation protocols
- Audit trail maintenance
Safety Protocols
- Participant safety monitoring
- Researcher protection measures
- Laboratory safety compliance
- Emergency response procedures
- Risk assessment and mitigation
Regulatory Compliance
Adherence to guidelines from leading organizations including WHO, NIH, ICH, and relevant national regulatory bodies.
AI Ethics Considerations:
- Quality assurance of AI-generated content
- Copyright and intellectual property compliance
- Originality and transparency requirements
- Licensing and permission protocols
- Data privacy in AI applications
AI Tools Available:
AI Prompt:
As a research ethics and compliance specialist, provide comprehensive guidance on implementing ethical frameworks in AI-enhanced research. Explain systematic approaches to obtaining ethical approval, ensuring participant safety, maintaining data integrity, and complying with international standards (Helsinki Declaration, WHO, NIH, ICH guidelines). Include specific protocols for AI ethics considerations including quality assurance, copyright compliance, originality verification, and transparent reporting of AI assistance in research.
MCQ Questions:
1. Which international declaration provides the foundational ethical framework for medical research involving human subjects?
2. In AI-enhanced research, what is the most critical ethical consideration for transparency?
Presentation of Results
Data Representation and Visualization Standards
Comprehensive Results Presentation Framework
Present findings in logical, systematic, and coherent manner, organized according to research work sequence and data type for clear interpretation.
Representation Formats
- Narrative Description: Textual summary of key findings
- Tabular Presentation: Organized tables for numerical data
- Graphical Representation: Charts, figures, visualizations
- Kinematic/Audio: Video, motion capture, audio clips
- Algorithmic Output: AI model outputs and interpretations
Standards
- Clear, precise, descriptive titles
- High resolution and clarity
- Prominent statistical reporting
- Highlighted annotations
- Detailed independent captions
- Accurate labeling and legends
AI Tools Available:
AI Prompt:
As a data visualization and scientific communication expert, provide comprehensive guidance on presenting research results effectively across multiple formats. Explain systematic approaches to choosing appropriate visualization methods, ensuring statistical clarity, maintaining professional presentation standards, and creating publication-ready figures and tables. Include frameworks for integrating narrative, tabular, graphical, and multimedia presentations while ensuring accessibility and interpretability for diverse audiences.
MCQ Questions:
1. What is the primary purpose of including detailed captions with figures and tables?
2. When presenting statistical results, what information must be prominently displayed?
Discussion
Critical Analysis and Interpretation Framework
Comprehensive Discussion Structure
1. Critical Analysis of Research Process
Discuss methodological choices impact on validity, reliability, and generalizability. Address limitations and their influence on results interpretation (NIH, 2023).
2. Interpretation of Primary Findings
Analyze main results in relation to research hypothesis. Determine whether hypothesis was supported or refuted with evidence-based explanations.
3. Comparison with Existing Literature
Contextualize findings through critical, parallel commentary addressing:
- Same variable in different populations
- Similar or divergent outcomes
- Variable derivatives in similar contexts
- Different methodological approaches
- Broader feasibility and efficacy contexts
- Direct replication studies
Referencing Requirements
Continuously refer to specific figures and tables from results (e.g., "as shown in Figure 2...").
AI Tools Available:
AI Prompt:
As an expert in scientific discussion writing, provide comprehensive guidance on structuring critical analysis and interpretation of research findings. Explain systematic approaches to evaluating methodological impacts, interpreting primary findings against hypotheses, conducting comparative literature analysis, and maintaining objective yet insightful commentary. Include frameworks for balancing critical assessment with constructive interpretation while ensuring appropriate integration of results references.
MCQ Questions:
1. What is the primary purpose of discussing methodological limitations in the Discussion section?
2. When comparing findings with existing literature, what approach provides the most valuable contribution?
Conclusions and Recommendations
Conclusions Framework
Systematic Conclusion Development
Primary Conclusion
Directly answers the main research question based on overall findings and their significance.
Secondary Conclusions
Identify which sub-sections provided strongest support for hypothesis and which showed non-significant results.
AI Tools Available:
AI Prompt:
As an expert in scientific conclusion writing, provide comprehensive guidance on developing systematic and impactful conclusions that directly address research questions. Explain frameworks for synthesizing primary and secondary findings, determining significance levels, and creating actionable recommendations for future research. Include methods for ensuring conclusions align with evidence presented while maintaining appropriate scope and avoiding overgeneralization.
MCQ Questions:
1. What should be the primary focus of the main conclusion?
2. Why are secondary conclusions important in research reporting?
Recommendations for Future Research
Systematic Future Research Framework
Enhancement Recommendations
- Increased Sample Size
- Broader Generalization (geographical, temporal, ethnic)
- Sample Modification (refined criteria)
- Diversified Sample Types (in vitro, animal, human)
- Novel or Modified Outcomes
- Derived or Altered Inputs
Advanced Approaches
- Dose-Range or Concentration Testing
- Longitudinal Follow-up
- New Feasibility Factors
- Novel Study Design
- Advanced Methodologies
- Alternative Data Analysis
Supporting Framework References:
- ICH Guidelines for Good Clinical Practice (2023)
- NIH Principles for Preclinical Research (2023)
- WHO Criteria for Health Information Credibility (2020)
- Nature AI Research Reporting Standards (2023)
AI Tools Available:
AI Prompt:
As a research strategy consultant, provide comprehensive guidance on developing systematic recommendations for future research based on current study limitations and findings. Explain frameworks for identifying logical next steps, scaling research scope, enhancing methodological rigor, and expanding generalizability while maintaining scientific validity. Include practical approaches for prioritizing recommendations and aligning them with international research standards (ICH, NIH, WHO, Nature guidelines).
MCQ Questions:
1. What is the most important consideration when recommending increased sample size for future research?
2. According to ICH guidelines, what should guide the prioritization of future research recommendations?
Affiliations and Funds
Institutional Affiliations and Funding Documentation
Comprehensive Affiliation Framework
Institutional Affiliations
- Primary institutional affiliation with complete address
- Department and division specifications
- Secondary affiliations and collaborating institutions
- International collaborative partnerships
- Professional society memberships relevant to research
Funding Sources
- Grant numbers and funding agency details
- Contract numbers for industry partnerships
- Fellowship and scholarship acknowledgments
- Equipment and facility support
- In-kind contributions and donations
Conflict of Interest Declarations
- Financial interests in related companies
- Consulting relationships
- Intellectual property considerations
- Personal relationships affecting objectivity
- Editorial or review board positions
Acknowledgments
- Technical assistance and support staff
- Data collection and analysis contributors
- Statistical consultation
- Language editing and proofreading
- Facility and equipment access
AI Tools Available:
AI Prompt:
As an expert in research integrity and academic publishing standards, provide comprehensive guidance on documenting affiliations, funding sources, and conflict of interest declarations. Explain systematic approaches to ensuring transparency, compliance with journal requirements, and ethical disclosure practices. Include frameworks for identifying potential conflicts, properly acknowledging contributions, and maintaining research integrity while fostering collaborative relationships.
MCQ Questions:
1. What is the primary purpose of declaring funding sources in research publications?
2. Which type of relationship most commonly requires conflict of interest declaration?
References
Reference Quality and Standards Framework
Comprehensive Reference Management
Reference Count Guidelines
- Social Sciences, Physics, Astronomy: ~54 references
- Biochemistry, Genetics, Biology: ~51 references
- Mathematics, Engineering: ~29 references
- Health Professions: As few as 8 references
- Literature Reviews: Higher counts acceptable
Citation Styles
- APA: Author-date (Simon, 2020)
- Vancouver: Numerical [1]
- AMA: Numerical superscript
- NLM: Medical literature
- Et al. rule: 4+ authors in APA
Reference Type Distribution
- Peer-reviewed articles: Highest percentage (80-90%)
- Books: For foundational theories (5-10%)
- Government reports/ISO standards: For data and standards (3-7%)
- Websites: Use cautiously, assess credibility (<5%)
Reference Age Requirements
- 85% should be less than 5 years old
- Current year: up-to-date
- Last 2 years: most recent
- Last 5 years: recent
- Older references: essential for seminal works
Quality Indicators
- CiteScore (CS) and Impact Factor (IF)
- Quartile (Q) rankings
- Scopus and Web of Science indexing
- WHO, NIH, ICH guidelines
Quality Reference Prompt:
Use your full references search capabilities to mention for each section or paragraph that needs reference support, one or more actual references. Make the mode of mentioning references as numbers (in-text) with corresponding full standard reference writing in Bibliography. All references should be actual, real, world-accredited, available on Scopus or Web of Science, most recent (last 5 years), with DOI when open access. Never mention fabricated references or those with suspicious author names.
دليل النشر في المجلات الرصينة
تحقق من جودة المجلة العلمية
استخدم الروابط التالية للتأكد من أن المجلة ضمن قواعد البيانات المعتمدة:
معايير اختيار المجلة المناسبة
• التأكد من وجود المجلة في قواعد البيانات المعتمدة (Scopus, Web of Science)
• فحص معامل التأثير (Impact Factor) ومؤشر h-index
• مراجعة سياسة التحكيم العلمي والمراجعة النظيرة
• التحقق من وجود ISSN صالح ومعترف به
• فحص هيئة التحرير وخلفياتهم الأكاديمية
AI Tools Available:
AI Prompt for References:
Use your full references search capabilities to mention for each section or paragraph that needs reference support, one or more actual references. Make the mode of mentioning references as numbers (in-text) with corresponding full standard reference writing in Bibliography (including all authors, title, journal, year, volume, number, pages, and actual DOI if accessible). All references should be actual, real, world-accredited, available on Scopus or Web of Science, most recent (last 5 years), and if open access include DOI. Never mention fabricated or suspicious references.
MCQ Questions:
1. What percentage of references should ideally be less than 5 years old?
2. Which type of references should comprise the highest percentage in scientific literature?