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Cells and Cancer in Python

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import matplotlib.pyplot as plt import numpy as np # Plot 1: Order Parameter vs Time (S vs t) t = np.linspace(0, 10, 500) S = 1 / (1 + np.exp(-2 * (t - 5)))  # sigmoid rise plt.figure() plt.plot(t, S) plt.title(" Order Parameter S vs Time ") plt.xlabel("Time (t)") plt.ylabel("Order Parameter (S)") plt.grid(True) plt.show() # Plot 2: Energy Collapse E = np.maximum(0, 1 - 0.1 * t**1.5) plt.figure() plt.plot(t, E, color='red') plt.title(" Cellular Energy (E) Collapse Over Time ") plt.xlabel("Time (t)") plt.ylabel("Energy (E)") plt.grid(True) plt.show() # Plot 3: Standing Wave Stability x = np.linspace(0, 2*np.pi, 500) standing_wave = np.sin(x) * np.cos(5 * x) plt.figure() plt.plot(x, standing_wave) plt.title(" Standing Wave Pattern Around DNA ") plt.xlabel("Distance") plt.ylabel("Amplitude") plt.grid(True) plt.show() # Plot 4: DNA Repair Rate vs Redox State redox = np.linspace(0, 1, 100) repa...
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A Lay Person’s Guide to Unlocking Memory in Alzheimer’s: Boosting Your Brain’s Rhythm

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Introduction: A New Hope for Memory Alzheimer’s disease is a thief—it steals memories, clarity, and the person you love, leaving families heartbroken. For over a century, scientists have hunted for a cure, focusing on “bad proteins” like amyloid plaques and tau tangles . Billions of dollars and countless drugs later, the results are disappointing—most treatments only slow symptoms for a short time, and none reverse the damage. But what if we’ve been looking at it wrong? What if Alzheimer’s isn’t just about proteins but about your brain losing its natural “rhythm”—a balance of water, energy , salts, protection, and synchronized beats that keeps memories alive? This guide introduces a new approach, rooted in the physics of life, to halt Alzheimer’s and unlock memory. It’s not a silver bullet—severe damage can’t always be undone—but it can stop the disease in its tracks and bring back significant memory and thinking ability, especially if started early. The idea is to boost a “ br...
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