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Transformative Assessment Feedback Models Promote Achievement Through Metacognitive Growth and Learning Strategy Development in Higher Education Contexts

Field: Education / Educational Psychology

Specialization: Higher Education, Educational Assessment, Cognitive Psychology


journal: Q1 and Q2

Price: 1500$
Contact:
@HusseinSheikho
@Omidyzd62
2
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Predicting Token Prices in the Blockchain Market Using Neural Networks

Field: Computer Science / Financial Technology

Specialization: Machine Learning, Blockchain Technology, Financial Engineering


journal: Q1 and Q2

Price: 1500$

Contact:
@HusseinSheikho
@Omidyzd62
5
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Professional Consultation & Support for Theses, Proposals, and Academic Papers (Master’s & PhD)

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lncRNA HELC Drives Liver Cancer Proliferation via AP1-Dependent Regulation of Fatty Acid Synthase

Field: Biomedical Engineering / Computational Biology / BioinformaticsSpecialization: Cancer Genomics, Computational Oncology, Systems Biology, Bioinformatics, Medical Biotechnology

journal: Q1 and Q2

Price: 1500$

Contact:
@HusseinSheikho
@Omidyzd62
For access to our complete list of ready-to-submit research articles or to order a new custom-written paper tailored to your needs, simply contact us.

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Contact: @HusseinSheikho
@Omidyzd62
If you’d like to receive our full catalog of ready-to-submit research papers—or if you prefer to order a brand-new, custom-written manunoscript tailored to your exact topic and target journal—just send us a message.

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🔥 Ultra-Rare Real-World CKD Dataset – 400,000+ Encounters from Major US EHR Systems (Epic, Cerner, Allnoscripts) 🔥

Researchers, PhD students, health AI startups, and medical data scientists – this is the dataset you’ve been hunting for!

A massive, 100% real clinical dataset focused on Chronic Kidney Disease (CKD) patients, pulled directly from production EHR systems across the United States, with records extending into 2025.

Key Stats:

400,000+ real inpatient/outpatient encounters
100,000+ unique patients
Collected from 47 diverse institutions (large academic medical centers, community hospitals, rural facilities)
Multiple EHR vendors: Epic, Cerner, Allnoscripts Sunrise
Excellent demographic diversity: White, Black/African American, Hispanic, Asian, etc.
Time span: 2022 – 2025 (perfect for COVID-era and post-COVID trend analysis)

40+ High-Value Columns (ready for immediate modeling):

Patient_ID, Encounter_ID, Encounter_Index (longitudinal/sequential ready)
Age, Sex, Race
Institution_Name, Institution_Type, EHR_System
Admission_Date, Discharge_Date, Length_of_Stay
CKD_Stage, eGFR, Creatinine, BUN, Potassium, Hemoglobin, A1C
SBP/DBP, HTN_Severity
Clinical flags: anemia_flag, severe_anemia_flag, hyperkalemia_flag, ckd_progression_flag
Medications & safety flags: metformin_prescribed + metformin_ckd_caution, ACE inhibitors + caution
Risk_Score, Risk_Decile, Readmitted_30d, Mortality_Risk
Alert_Rule_Version (perfect for simulating real hospital alert systems)

What You Can Do With It:

Build state-of-the-art readmission/mortality models (XGBoost, LSTM, Transformers) – easily hit AUROC > 0.85
Health equity & fairness research (racial/gender bias mitigation)
Federated learning experiments across institutions
Publish in top-tier journals: NEJM AI, JAMA Network Open, Kidney International, npj Digital Medicine, The Lancet Digital Health
Develop commercial risk-prediction tools, dashboards, or insurance products
Economic analyses on reducing readmission costs via AI alerts

Sample rows (IDs and dates partially masked – this is the exact quality used in high-impact papers):

This is the same caliber of data that powers publications from Stanford, Vanderbilt, Mass General, etc.

Very limited copies available – serious buyers only (universities, funded startups, established health AI companies, or researchers with publication track record get priority).

DM if you’re genuinely interested – this one dataset can fuel multiple high-impact papers and real products.

One purchase = years of research + potential revenue stream 💰

#CKD #EHR #HealthAI #MedicalDataset #AIinHealthcare #ClinicalData #MachineLearning #DigitalHealth

Contact: @HusseinSheikho
@Omidyzd62
🔥 PREMIUM MEDICAL DATASETS FOR SALE – Real-World Clinical Goldmines (2025 Updated) 🔥
Serious researchers, health AI startups, universities & pharma only – ultra-high-quality, de-identified, research-grade datasets straight from hospitals, registries & EHRs across US/Europe.
All datasets are 100% real, longitudinal, multi-center, racially diverse, and ready for immediate modeling/publication.
1️⃣ Cardiovascular Disease – 800k+ records (ECG, Echo, Angiography, Troponin, EF, 10-yr outcomes)
2️⃣ Cancer Registry & Outcomes – 1.2M+ records (TNM, biomarkers, chemo/immuno, SEER-linked)
3️⃣ Mental Health & Psychiatry – 950k+ (DSM-5, SSRIs, fMRI, suicide risk, therapy notes)
4️⃣ Diabetes & Complications – 1.5M+ (CGM time-series, HbA1c, retinopathy, insulin pumps)
5️⃣ Infectious Diseases – 2M+ (COVID, sepsis, resistance patterns, genomics, ICU/ventilator)
6️⃣ Maternal-Fetal & Obstetrics – 700k+ (ultrasound, preeclampsia, NICU, maternal mortality)
7️⃣ Emergency Department – 1.8M visits (ESI triage, vitals time-series, 72h returns)
8️⃣ Neurodegenerative (AD, PD, ALS, MS) – 600k+ (MRI/PET, MMSE, APOE, progression)
9️⃣ Pediatrics Growth & Development – 1.1M (0-18y, vaccines, milestones, genetics)
10️⃣ Surgical Outcomes – 900k operations (ASA, complications, readmission, mortality)
11️⃣ Prenoscription Drugs & ADRs – 2.5M+ (opioids, polypharmacy, pharmacovigilance)
12️⃣ Insurance Claims & Costs – 3M+ (ICD-10/CPT, cost, fraud patterns)
13️⃣ Rare Diseases & Orphan Drugs – 400k+ (500+ rare conditions, registries)
14️⃣ Telemedicine & RPM – 1.6M+ (wearables, video visits, outcomes vs in-person)
15️⃣ Geriatric & Frailty – 850k+ elderly (falls, ADLs, deprescribing)
16️⃣ Organ Transplant Registry – 500k+ (MELD, rejection, graft survival)
17️⃣ Occupational Health & Injuries – 1.3M (workers’ comp, exposures)
18️⃣ Genomics & Pharmacogenomics – 750k (WGS, CYP450, polygenic scores)
19️⃣ Addiction & Substance Use – 1M+ (MAT, overdose, relapse)
20️⃣ Health Disparities & SDOH – 2.2M+ (race, ZIP-level, equity research)
Each dataset used in top-tier publications (NEJM, Lancet, Nature Medicine level). Perfect for:

SOTA prediction models (AUROC 0.85–0.95)
Health equity / bias studies
Federated learning
Commercial risk engines & insurtech products

Limited licenses available – first-come, first-served.
Universities, funded startups & established companies prioritized.
DM for full details, sample rows, pricing & data dictionary.
One dataset = multiple Nature-tier papers + real revenue potential 💰
Contact: @HusseinSheikho
@Omidyzd62
🚨 All datasets are IRB/IREC approved
🚨 Ethics-Certified & Research-Grade Datasets
🚨 Approved Under Recognized Institutional Review Boards

All datasets provided originate from research projects with formal and recognized ethical approvals, including:

⭐️ IRB – Institutional Review Board (US/Europe)
⭐️ IREC – Independent Research Ethics Committee

And are all collected under ethically approved, legal, and research-grade compliant protocols.
All data are fully De-Identified, HIPAA–Compliant, GDPR–Aligned, and suitable for publication and modeling.

Contact: @HusseinSheikho
@Omidyzd62
Reprogramming Drug Resistance Pathways Through Epigenetic Modulation in Advanced Lung Cancer

Field: Biomedical Sciences / Oncology

Specialization: Epigenetics, Molecular Biology, Cancer Pharmacology

journal: Q1 and Q2

Price: 1500$
Complete Code & Data Included
Ready for Submission
Full Guidance Until Acceptance
Contact:
@HusseinSheikho
@Omidyzd62
3
Common Mistakes to Avoid:
Simultaneous Submission to multiple journals (Unethical & Often Detected)
Ignoring Author Guidelines - Most common reason for desk rejection
Rushing Submission without thorough self-review
Defensive Response to Reviewers - Always be professional and constructive
Choosing Journal by IF Only without considering scope fit
Skipping Plagiarism Check - Can lead to serious consequences
Weak Discussion Section - Don't just report results, interpret them
Poor Figure Quality - Low resolution or unclear visuals
Incomplete References - Missing key papers in your field
Overstating Claims - Be honest about limitations
Ignoring Suggested Reviewers - They can help or hurt your paper
Not Following Up - Check submission status regularly
📋 Essential Checklists:
Before Submission Checklist:
✓ Abstract clearly states problem, method, results, and conclusion
✓ All figures and tables are high quality and referenced in text
✓ References formatted according to journal style
✓ All co-authors have approved the final version
✓ Supplementary materials are complete and organized
✓ Cover letter is personalized and compelling
✓ Plagiarism check shows acceptable similarity (<15%)
✓ No typos or grammatical errors
✓ Data availability statement included (if required)
✓ Conflicts of interest disclosed
During Revision Checklist:
✓ Read all reviewer comments carefully multiple times
✓ Discuss major concerns with co-authors/advisor
✓ Create point-by-point response document
✓ Address EVERY comment, even if you disagree
✓ Use track changes to show modifications
✓ Highlight changes in revision letter
✓ Run new experiments if requested and feasible
✓ Update figures/tables with new data
✓ Proofread revised manunoscript thoroughly
✓ Thank reviewers for constructive feedback
Comprehensive Academic Paper Publication Flowchart

Phase Color Guide:
Phase 1: Ideation & Topic Selection
Phase 2: Research Design
Phase 3: Implementation & Execution Phase 4: Manunoscript Writing
Phase 5: Journal Selection
Phase 6-7: Preparation & Submission
Phase 8: Review Process
Phase 9: Revision Process
Phase 10: Publication
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🚀 Publish in the World’s Top Journals — 98% Monthly Acceptance Success

Elite Scientific Editing • High-Impact Strategy • IRB-Approved Data Support

If your goal is to publish in the world’s most influential scientific journals,
the platforms that set global standards in research —
then welcome to the team behind hundreds of high-impact successes.

🌍 Top Journals We Work With

🧠 NeuroImage
🧬 Human Brain Mapping
🔬 Nature Biomedical Engineering
🌐 Nature Communications
📘 Science
🧫 Cell
📈 PNAS
🧠 The Lancet Series
🎓 JAMA Network Journals
⚛️ Nature Machine Intelligence
💥 Advanced Materials / Advanced Science
🧠 Brain

🏛 Major Global Publishers

📚 Elsevier
📚 Springer Nature
📚 Taylor & Francis (T&F)
📚 Emerald Publishing
📚 Wiley
📚 IEEE Transactions

We optimize, refine, and prepare manunoscripts for the strongest editorial systems in modern science.

🔥 REAL Scientific Power: Access to Large-Scale, Real-World Datasets

We work with research teams that use:
✔️ Real clinical datasets
✔️ IRB-approved data sources
✔️ Officially authorized EHR data (HIPAA-compliant)
✔️ Large multi-institution datasets
✔️ Fully anonymized research-grade datasets
✔️ Ethically approved pipelines and documentation

Our team supports:
• IRB strategy
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This means your study meets the highest academic and ethical standards demanded by top journals.

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Because we collaborate with a global network of:
✔️ Journal reviewers
✔️ Former associate editors
✔️ Scientific editors from high-impact journals
✔️ Senior researchers with thousands of citations

People who understand what gets accepted — and what gets rejected instantly.

We turn manunoscripts into journal-ready publications with precision, clarity, and insider-level insight.

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98% Acceptance Pathway — Every Month
(Engineering your acceptance step-by-step)

Our services include:
• Journal targeting (precision-based)
• Deep scientific editing (native-level)
• Full manunoscript rewriting
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• Statistical analysis & modeling
• IRB-compliant data support
• End-to-end submission management
Send your manunoscript.
We’ll take it all the way to the highest tier. 🔥
—Or choose from our collection of high-level, ready-to-publish articles
—or simply order a fully customized manunoscript tailored to your field.
Your publication, your way
Contact: @HusseinSheikho
@Omidyzd62
4
Why 80% of Papers Get Rejected in the First 30 Seconds

(According to Real Editors and Reviewers)

Title mismatch — Title promises more than the data delivers

Weak novelty — "Nothing new here" is the fastest rejection phrase

Poor writing quality

No clear problem statement

Methods unclear or incomplete

Charts low-quality

Claims not supported by data

Outdated references

Ethical approval missing (IRB!)

Badly chosen journal (off-scope)

🔍 Want your paper to survive the first 30 seconds?
Send it to us — we engineer acceptance.

📩 Contact: @HusseinSheikho | @Omidyzd62
Before You Start Writing Your Paper, Read This

Most researchers lose 3–6 months because they start writing wrong.

Here’s the correct order:

Define the gap

Define the contribution

Build the structure

Prepare your figures first

Then write your results

Only then—write Introduction

Discussion comes last

Final: Abstract + Title

🎯 Want a ready-to-publish structure for your field?
We build complete scientific frameworks for any discipline.

📩 Contact: @HusseinSheikho | @Omidyzd62