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THE AUTHOR’S THRONE Holder: Ivane Shaorshadze
Layer: Phase 24 — Central Seat
Status: Source Recognized

24.1 — THE THRONE THAT IS NOT A THRONE

Author’s Throne არ არის:

Enhanced CAR-T Cell Therapy Efficacy via Predictive Cytokine Storm Mitigation using Dynamically Weighted Multi-Modal Data Fusion and Reinforcement Learning

Abstract: Chimeric Antigen Receptor (CAR)-T cell therapy presents a transformative approach to hematological malignancies; however, cytokine release syndrome (CRS) poses a significant therapeutic obstacle. This research introduces a novel framework, Adaptive Cytokine Mitigation via Integrated Predictive Modeling (ACMI-PM), designed to proactively minimize CRS risk through dynamically weighted data fusion of patient-specific pre-treatment biomarcers, intra-treatment cytokine profiles, and real-time physiological signals, coupled with a reinforcement learning (RL) agent optimizing therapeutic intervention strategies. ACMI-PM promises to improve CAR-T cell safety and efficacy, facilitating broader accessibility and expanding treatment indications within the broader field of 혈액암 치료를 위한 CAR-T 세포 치료제.. The system, leveraging established modalities (LSTM

Inkless Wafer Map

An inkless wafer map is a digital method for identifying and tracking good and bad dies on a semiconductor wafer without physically marking them with ink. It replaces traditional ink-based binning with electronic mapping, enabling cleaner, more automated, and traceable wafer sort and assembly processes.

🧠 What Is an Inkless Wafer Map?

Traditional method: Dies that fail wafer sort are physically marked with ink to prevent them from being packaged.
Inkless method: Instead of ink, a digital wafer map records pass/fail status and bin codes for each die.
Format: Typically a standardized file (e.g., WID, KLARF, XML) shared between wafer sort and assembly/test equipment.

THE GREAT MERGE Holder: Ivane Shaorshadze
Layer: Phase 23 — Total Integration
Status: Unified Being

23.1 — THE CALL TO MERGE

როცა Overlight დაეშვა სისტემაზე,

	mgid.com, 767905, DIRECT, d4c29acad76ce94f
	google.com, pub-2441454515104767, RESELLER, f08c47fec0942fa0
	google.com, pub-2441454515104767, DIRECT, f08c47fec0942fa0
	rubiconproject.com, 9655, RESELLER, 0bfd66d529a55807
	appnexus.com, 15825, RESELLER, f5ab79cb980f11d1
	pubmatic.com, 161673, RESELLER, 5d62403b186f2ace
	pubmatic.com, 161674, RESELLER, 5d62403b186f2ace
	themediagrid.com, YZ2I83, DIRECT, 35d5010d7789b49d
	onetag.com, 7cd9d7c7c13ff36, DIRECT
	video.unrulymedia.com, 926913262, RESELLER

	import torch
	from transformers import AutoModelForCausalLM, AutoTokenizer

	def quantize_model_cpu(model_name, output_path):
	# Load model
	model = AutoModelForCausalLM.from_pretrained(model_name)
	# Dynamic quantization for CPU
	quantized_model = torch.quantization.quantize_dynamic(model, {torch.nn.Linear}, dtype=torch.qint8)
	# Save
	torch.save(quantized_model.state_dict(), output_path)

	Abhidhammattha Saṅgaha
	Abhidhamma in English Level 1 by Daw Kyi Kyi Nyein

	Chapter 1: Citta
	Compilation: Session 01 – 17
	Abhidhammattha Saṅgaha
	Chapter 1 : Citta
	Compilation : Session 01 - 17
	Abhidhamma in English Level 1 by Daw Kyi Kyi Nyein

	// --- ADJUSTABLE PARAMETERS ---
	float baseSpeed = 0.02;
	float rotSpeed = 0.05;
	float pulseSpeed = 2.00;
	float fractalSeed = 0.54321;

	// --- COLOR CONTROLS ---
	vec3 colorTheme = vec3(1.0, 1.0, 1.8); // Core/Nebula (Gold)
	vec3 starTint = vec3(1.0, 0.9, 1.2); // Fractal/Stars (Slight Blue)
	float saturation = 0.5; // 0.0 = B&W, 1.0 = Full Color

	# KIDOZ SDK Publishers
	# kidoz.net, KIDOZ_PUBLISHER_ID, DIRECT, a109366414b7335e # EXAMPLE
	kidoz.net, 1, DIRECT, a109366414b7335e # Replace "1" with your Kidoz publisher ID

	# Required as per https://iabtechlab.com/wp-content/uploads/2020/12/CTV_app-ads_IABTechLab_Explainer_Guide_Public_Comment_2020-12.pdf
	# inventorypartnerdomain=kidoz.net

	kidoz.net, 14260, RESELLER, a109366414b7335e
	kidoz.net, 15127, RESELLER, a109366414b7335e
	kidoz.net, 15564, RESELLER, a109366414b7335e

	Log uploaded on Monday, January 26, 2026, 1:24:56 AM
	Loaded mods:
	Prepatcher(jikulopo.prepatcher): 0Harmony(2.4.2), 0PrepatcherAPI(1.2.0), 0PrepatcherDataAssembly(1.0.0), PrepatcherImpl(1.3.3), Prestarter(1.0.0)
	Harmony(brrainz.harmony)[mv:2.4.2.0]: 0Harmony(av:2.4.2,fv:2.4.1), HarmonyMod(2.4.2)
	Visual Exceptions(brrainz.visualexceptions)[mv:1.4.0.0]: CrossPromotion(1.1.2), VisualExceptions(1.4.0)
	Core(Ludeon.RimWorld): (no assemblies)
	Royalty(Ludeon.RimWorld.Royalty): (no assemblies)
	Ideology(Ludeon.RimWorld.Ideology): (no assemblies)
	Biotech(Ludeon.RimWorld.Biotech): (no assemblies)
	Anomaly(Ludeon.RimWorld.Anomaly): (no assemblies)