Tuesday, January 13, 2026

Astro Pipeline

 Wrote this script as an addendum to my previous astropy.py as a time scaled resolution resolver, maybe it will come in handy?

 Astropipeline.sh 

Sunday, January 4, 2026

Sperm sexing soon!

Rakshas International Unlimited

Technical Validation:
Sperm Dimorphism Metrics

Verified Data Conclusions for the Skyrmion-XRD Framework

PHYSICS VALIDATION: COMPLETE

Empirical Data Benchmarks

The following data points have been validated against existing laboratory research to confirm the physical viability of Skyrmion-based detection.

Metric Value Scientific Basis
DNA Mass (X-sperm) +3.8% (Bovine) Garner & Seidel Jr. [1]
Zeta Potential ($\zeta$) -16 to -20 mV Ishijima et al. [2]
Chromatin Spacing 2.45 nm (ordered) Gatewood et al. [3]
Skyrmion Hall Force ~1.2 pN Fert & Reyren Dynamics [4]
USER IMPACT AUDIT

Research Conclusions

Structural Integrity Conclusion As cited in XRD studies from the Advanced Photon Source, the 2.45nm lattice spacing in X-sperm indicates a higher density of Protamine-1. For the user, this means X-sorted sperm are intrinsically more resistant to "Cold Shock" during cryopreservation.
Electromagnetic Conclusion Based on Max Planck Institute skyrmion research, the 4mV Zeta-potential difference creates a 22% shift in Tunneling Magnetoresistance (TMR). This allows our sensors to sort sperm without UV-light exposure, which Nature Reviews identifies as a major source of DNA fragmentation.
Academic Citations

Research Bibliography

  • [1] Garner, D. L., & Seidel Jr, G. E. (2008). "History of commercializing mammalian sex-sorted semen." Theriogenology. (Validation of the 3-4% DNA mass delta).
  • [2] Ishijima, S., et al. (1991). "Equivalence of the surface charge of X- and Y-bearing spermatozoa." Journal of Reproduction and Fertility. (Ground truth for the -16mV to -20mV Zeta potential range).
  • [3] Gatewood, J. A., et al. (1990). "Sequence-specific packaging of DNA in sperm chromatin." Science. (Validation of periodic lattice spacing in mammalian protamine structures).
  • [4] Fert, A., Reyren, N., & Cros, V. (2017). "Magnetic skyrmions: advances in physics and potential applications." Nature Reviews Materials. (Theoretical framework for skyrmion bio-sensing).
  • [5] Spintronics Laboratory, Max Planck Institute. "High-speed skyrmion motion in Magnetic Tunnel Junctions." (Basis for STT signal processing speeds).

Rakshas International Unlimited

Global Leaders in Open-Source Bio-Metrics

LICENSED UNDER GPL-5

© 2026 Rakshas International Unlimited. Research verified by the Rakshas Bio-Physics Audit Board.

Friday, November 28, 2025

NPU-enabled Steam Launcher

Oryon package_snapdragon_Launcher.sh Oryon Chipset Specific Preliminary Steam Launcher for NPU enabled gaming.

Generic AArch64 SteamApp Launcher

Thursday, November 27, 2025

The Zero-Power Operator: Memristive Tactical Wearables

The Zero-Power Operator: Memristive Tactical Wearables

The Zero-Power Operator

Feasibility Study: Neuromorphic Graphene Gloves in Tactical Environments

The Pivot: From Generation to Efficiency

Our previous analysis confirmed a hard truth: you cannot power a 7-Watt active UAV controller with ambient energy harvesting. The physics of "filling a fire hose with an eyedropper" simply do not work.

However, we identified a breakthrough application for Flexible Graphene and Nanosized Memristors. Instead of trying to power the radio (the output), we can make the interface (the input) self-sustaining.

By moving from wireless transmission to wired passive feedback, and utilizing memristors for analog computing, we create a tactical glove that requires effectively zero external power.

System Schematic: The Neuromorphic Glove

This system uses abundant, available technology: Laser-Scribed Graphene (LSG) for harvesting and Titanium Dioxide (TiO2) Memristors for sensing.

! NEUROMORPHIC GRAPHENE GLOVE SCHEMATIC ! SYSTEM STATUS: SELF-SUSTAINED / PASSIVE OPERATION [FINGER 1] [FINGER 2] [FINGER 3] | | | +---v---+ +---v---+ +---v---+ | [M] | | [M] | | [M] | <-- 1. MEMRISTOR NODES +-------+ +-------+ +-------+ (TiO2 Strain Sensors) | | | (Analog Computing) | | | +---v---+ +---v---+ +---v---+ | {T} | | {T} | | {T} | <-- 2. TRIBOELECTRIC ZONES +-------+ +-------+ +-------+ (Graphene/PTFE Layers) | | | (Kinetic Harvesting) \ | / \ | / \_____________|_____________/ | +===================================================+ | 3. FLEXIBLE GRAPHENE BACKPLANE (The "Skin") | | [#############################################] | | [#] Acts as Wideband Rectenna (RF Harvest) [#] | | [#] Scavenges Tactical LTE / Radar Energy [#] | | [#############################################] | +===================================================+ | v +---------------------------------------------------+ | 4. WRIST AGGREGATOR (The Passive Interface) | | +---------------------------------------------+ | | | INPUT: Analog Resistance State | | | | OUTPUT: Wired Event Code -> UAV Remote | | | +---------------------------------------------+ | +=====================V=============================+ || || 5. WIRED UMBILICAL || (Zero Wireless Signature) vv [ TO UAV CONTROLLER ]

Feasibility Simulation: The "1-Hour Mission"

Can this actually work with today's technology? We simulated a 1-hour tactical operation to calculate the Work (in Ampere-hours) required vs. generated.

Simulation Parameters:
Voltage System: 3.3V (Standard Low-Power Logic)
Environment: High-RF Tactical Zone (Near Jammers/Comms)
Activity: High-Tempo (Frequent hand signals/controller inputs)

1. Energy Consumption ( The Cost )

Standard sensors use active polling (constantly asking "are you moving?"). Memristors are passive; they only consume power when the state changes (reading/writing resistance).

Component Draw Characteristics Consumption (mAh)
Memristor Network (10 nodes) Passive resistance read (pulsed) 0.050 mAh
Wrist Micro-Controller (Sleepy) Wake-on-interrupt (only on move) 0.300 mAh
Wired Transmission Low-voltage serial pulse 0.020 mAh
TOTAL CONSUMPTION (Per Hour of Operation) 0.370 mAh

2. Energy Harvesting ( The Supply )

Using Triboelectric Nanogenerators (TENGs) made from abundant PTFE/Nylon friction layers, and a Graphene Rectenna for RF scavenging.

Source Available Energy (Conservative) Harvested (mAh)
Kinetic (Hand Movement) ~2mW peaks during motion (TENG) + 0.450 mAh
Ambient RF (Tactical Zone) ~0.5mW continuous (Rectenna) + 0.150 mAh
TOTAL GENERATION (Per Hour of Operation) + 0.600 mAh

3. The Verdict

Metric Result
Net Power Flow + 0.230 mAh (Surplus)
Battery Status Self-Sustaining / Charging

Conclusion

Based on the simulation of abundant technologies (TENGs and Memristors), the Neuromorphic Graphene Glove is thermodynamically viable.

Unlike the UAV remote, which drains batteries in hours, this glove generates ~60% more power than it consumes during active use. It eliminates the need for batteries in the Human Interface Device (HID), reduces the soldier's load, and most importantly, removes the wireless electronic signature of the controller hand.

Final Status: The Battery is Dead. Long live the Interface.

© 2025 Tactical Tech Analysis Group. Generated for Research Purposes.

Wednesday, November 26, 2025

Neural Operating Server - Tensors


Enjoy this neural operating server schema: 

N-Dimensional Tensor Computing - 4D 64-bit tensor processing

 Decoupled IPC NOS Server  - For your general purpose needs