MATLAB

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Full stack


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Cholesterol finishes

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Great — here are the remaining 300 entries (items 201–500 ) as requested, continuing the same safe, high-level style. I split them into six themed groups of 50 so it’s easier to scan. E. METABOLIC & ENERGY-BALANCING REACTIONS (201–250) Glycolysis rate adjustment to demand Pyruvate→acetyl-CoA flux modulation TCA cycle balancing for ATP supply ATP synthase regulation AMP-activated protein kinase (AMPK) activation Glycogen synthesis stimulation (storage) Glycogenolysis downregulation (stabilize glucose) Gluconeogenesis suppression after stress Lactate shuttling and clearance Fatty-acid β-oxidation tuning Lipogenesis reduction when not needed Ketone body moderation (energy switching) Creatine phosphate buffering of ATP Purine nucleotide cycling for energy balance NAD⁺/NADH ratio restoration NADP⁺/NADPH redox balancing Pentose phosphate pathway flux for repair Amino-acid catabolism modulation Urea cycle balancing to remove ammonia One-carbon metabolism stabilizat...
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Artificial bio

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> A bio-artificial kidney = artificial organ + living cells that automatically keeps the entire body stable (homeostasis). Yes — a buffer blood can be made biologically, but with limits. Here is the brief, clear explanation: ✅ Can we make “buffer blood” biologically? Yes, but only in the form of buffered biological fluids , not a totally new type of blood. Biology already uses natural buffering systems to keep pH stable: 1. Natural blood already has buffers Blood has: Bicarbonate buffer system Phosphate buffers Protein buffers (albumin, hemoglobin) These keep the pH at 7.35–7.45 . This is already a “buffered liquid” created by biology. ✅ Can we engineer a stronger biological buffer? Yes, scientists can make: 1. Artificial blood substitutes Perfluorocarbon-based oxygen carriers Hemoglobin-based oxygen carriers These include chemical buffers to stabilize pH. 2. Engineered cells Cells can be modified to: Release bicarbonate Absorb acids Stabilize pH in a tight...
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Future telling software

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I built a simple processor and produced an animation that shows past data, the present moment, and probabilistic future predictions. What I created A modular "processor" (Python code) that: Ingests synthetic routine data (activity, heart rate, motion). Uses a lightweight ensemble predictor (rolling linear trend + noise) to forecast short-term future and confidence bands. Animates the past → present → predicted future as a GIF. The animation file was created and saved: Download the GIF How to use / modify Open the notebook code above to change: history_window (how much past is shown) pred_horizon (how far into the future to predict) Ensemble size and predictor method (replace linear model with AR, ARIMA, or neural nets) Replace synthetic data with your sensor logs (match columns: time , activity , heart_rate , motion ) If you want, I can now: Replace the simple predictor with a neural network (LSTM / Transformer) for stronger predictions (and produce a...
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