Stuff & Stuff
THE
Premiere Infra-Universal Journal of Sci-Tech
News & Olds & Socio-Stupidic Studies
[ Updated 32 June 2026 ]
2025
: April
// March // February
// January // 2024 : December
// November // October // September // August // July // June // May // April // March // February // January
https://www.youtube.com/watch?v=wu9pgN3JKvk
Introducing Rex Research : AirWells, PooGloos and Other Innovations That Will Blow Your Mind
Introducing Rex Research : AirWells, PooGloos and Other Innovations That Will Blow Your Mind
Wha's
Nuvo ?
https://clifhigh.substack.com/p/secrets-revealed-black-money-machines
Secrets Revealed - Black Money Machines // We are there, now // clif high
Secrets Revealed - Black Money Machines // We are there, now // clif high
https://interestingengineering.com/innovation/rare-earth-free-magnet-help-us?group=test_b
China-born scientist’s magnet made without rare earth element could now help US
Innovators could achieve next-generation device performance with Iron Nitride magnets. ...Niron Magnetics, the spin-off created by University of Minnesota materials scientist Jian-Ping Wang, is offering rare earth-free permanent magnets.
The company claims these are useful for consumer electronics and the motor powering industry. Permanent magnets are the invisible force that converts electricity to motion in your daily devices.
“We produce the world’s only high performance, rare-earth-free permanent magnets. Our Iron Nitride magnet technology and world-leading magnetics expertise enhance the applications that use magnets to help revolutionize your industry,” said the company in a statement...
APPLIED MAGNETIC FIELD SYNTHESIS AND PROCESSING OF IRON NITRIDE MAGNETIC MATERIAL JP2024178427
Inventor: WANG JIAN-PING // JIANG YANFENG
Applicant: UNIV MINNESOTA
IRON-NITRIDE MAGNET BY NITRIDING A POROUS STRUCTURE -- US2024363269
IRON-RICH PERMANENT MAGNET -- US2024112855
IRON NITRIDE COMPOSITIONS -- US2024076764
IRON NITRIDE PERMANENT MAGNET AND TECHNIQUE FOR FORMING IRON NITRIDE PERMANENT MAGNET -- US2023352219
IRON NITRIDE POWDER WITH ANISOTROPIC SHAPE -- US2023024845
IRON NITRIDE NANOPARTICLE SUSPENSION -- US2022354973
PRESERVATION OF STRAIN IN IRON NITRIDE MAGNET -- US11581113
IRON NITRIDE MAGNETIC MATERIAL INCLUDING COATED NANOPARTICLES -- US2022051835
APPLIED MAGNETIC FIELD SYNTHESIS AND PROCESSING OF IRON NITRIDE MAGNETIC MATERIALS -- US2021180174
IRON NITRIDE PERMANENT MAGNET AND TECHNIQUE FOR FORMING IRON NITRIDE PERMANENT MAGNET -- US11217371
FORMING IRON NITRIDE HARD MAGNETIC MATERIALS USING CHEMICAL VAPOR DEPOSITION OR LIQUID PHASE EPITAXY -- US11214862
Multilayer iron nitride hard magnetic materials -- TW201808617 (A)
Iron nitride materials and magnets including iron nitride materials -- AU2017200993
https://www.youtube.com/watch?v=q2mFFcMVgtA
Living Electret // Joel Lagace
...self-regulating, “breathing” electret capacitor—a dynamic potential well in action...
https://openreview.net/forum?id=WfaQrKCr4X
A Unifying Framework for Representation Learning -- Shaden Naif Alshammari, et al
We unify over 23 methods in contrastive learning, dimensionality reduction, spectral clustering, and supervised learning with a single equation.
Abstract : As the field of representation learning grows, there has been a proliferation of different loss functions to solve different classes of problems. We introduce a single information-theoretic equation that generalizes a large collection of mod- ern loss functions in machine learning. In particular, we introduce a framework that shows that several broad classes of machine learning methods are precisely minimizing an integrated KL divergence between two conditional distributions: the supervisory and learned representations. This viewpoint exposes a hidden information geometry underlying clustering, spectral methods, dimensionality re- duction, contrastive learning, and supervised learning. This framework enables the development of new loss functions by combining successful techniques from across the literature. We not only present a wide array of proofs, connecting over 23 different approaches, but we also leverage these theoretical results to create state-of-the-art unsupervised image classifiers that achieve a +8% improvement over the prior state-of-the-art on unsupervised classification on ImageNet-1K. We also demonstrate that I-Con can be used to derive principled debiasing methods which improve contrastive representation learners.
https://www.brighteon.com/415a7e35-311f-4a11-8c3d-6db1fe4cbdf9
David DuByne warns Mike Adams of a wave of crop failures leading to worsening FAMINE by Summer, 2025
https://www.youtube.com/watch?v=62MUeLdcv68
The Decline of Europe: A Savage Civilization’s Slow Collapse -- Shahid Bolsen // Middle Nation
Website Downloaders:
https://www.httrack.com/
https://www.httrack.com/page/2/en/index.html
https://chromewebstore.google.com/detail/website-downloader/iaaokenmfgahhlcfbdipjonlkeinadaa?hl=en&pli=1
https://webrecorder.net/
https://webrecorder.net/
https://websitedownloader.com/
https://sourceforge.net/projects/getleftdown/
https://webtozip.com/
https://www.youtube.com/watch?v=swK8CJ8Zlw8
https://www.gnu.org/software/wget/
https://ftp.wayne.edu/gnu/wget/
https://www.internetdownloadmanager.com/
https://www.cyotek.com/cyotek-webcopy
https://github.com/PKHarsimran/website-downloader
https://www.youtube.com/watch?v=ayhm9wn_9Fw
5 Compounds that Detoxify & Protect the Brain (neuroprotectants) - Dr. Sherr
Alpha Lipoic Acid - Magnesium - Cordycepin - Methylene Blue & Creatine
China-born scientist’s magnet made without rare earth element could now help US
Innovators could achieve next-generation device performance with Iron Nitride magnets. ...Niron Magnetics, the spin-off created by University of Minnesota materials scientist Jian-Ping Wang, is offering rare earth-free permanent magnets.
The company claims these are useful for consumer electronics and the motor powering industry. Permanent magnets are the invisible force that converts electricity to motion in your daily devices.
“We produce the world’s only high performance, rare-earth-free permanent magnets. Our Iron Nitride magnet technology and world-leading magnetics expertise enhance the applications that use magnets to help revolutionize your industry,” said the company in a statement...
APPLIED MAGNETIC FIELD SYNTHESIS AND PROCESSING OF IRON NITRIDE MAGNETIC MATERIAL JP2024178427
Inventor: WANG JIAN-PING // JIANG YANFENG
Applicant: UNIV MINNESOTA
IRON-NITRIDE MAGNET BY NITRIDING A POROUS STRUCTURE -- US2024363269
IRON-RICH PERMANENT MAGNET -- US2024112855
IRON NITRIDE COMPOSITIONS -- US2024076764
IRON NITRIDE PERMANENT MAGNET AND TECHNIQUE FOR FORMING IRON NITRIDE PERMANENT MAGNET -- US2023352219
IRON NITRIDE POWDER WITH ANISOTROPIC SHAPE -- US2023024845
IRON NITRIDE NANOPARTICLE SUSPENSION -- US2022354973
PRESERVATION OF STRAIN IN IRON NITRIDE MAGNET -- US11581113
IRON NITRIDE MAGNETIC MATERIAL INCLUDING COATED NANOPARTICLES -- US2022051835
APPLIED MAGNETIC FIELD SYNTHESIS AND PROCESSING OF IRON NITRIDE MAGNETIC MATERIALS -- US2021180174
IRON NITRIDE PERMANENT MAGNET AND TECHNIQUE FOR FORMING IRON NITRIDE PERMANENT MAGNET -- US11217371
FORMING IRON NITRIDE HARD MAGNETIC MATERIALS USING CHEMICAL VAPOR DEPOSITION OR LIQUID PHASE EPITAXY -- US11214862
Multilayer iron nitride hard magnetic materials -- TW201808617 (A)
Iron nitride materials and magnets including iron nitride materials -- AU2017200993
https://www.youtube.com/watch?v=q2mFFcMVgtA
Living Electret // Joel Lagace
...self-regulating, “breathing” electret capacitor—a dynamic potential well in action...
https://openreview.net/forum?id=WfaQrKCr4X
A Unifying Framework for Representation Learning -- Shaden Naif Alshammari, et al
We unify over 23 methods in contrastive learning, dimensionality reduction, spectral clustering, and supervised learning with a single equation.
Abstract : As the field of representation learning grows, there has been a proliferation of different loss functions to solve different classes of problems. We introduce a single information-theoretic equation that generalizes a large collection of mod- ern loss functions in machine learning. In particular, we introduce a framework that shows that several broad classes of machine learning methods are precisely minimizing an integrated KL divergence between two conditional distributions: the supervisory and learned representations. This viewpoint exposes a hidden information geometry underlying clustering, spectral methods, dimensionality re- duction, contrastive learning, and supervised learning. This framework enables the development of new loss functions by combining successful techniques from across the literature. We not only present a wide array of proofs, connecting over 23 different approaches, but we also leverage these theoretical results to create state-of-the-art unsupervised image classifiers that achieve a +8% improvement over the prior state-of-the-art on unsupervised classification on ImageNet-1K. We also demonstrate that I-Con can be used to derive principled debiasing methods which improve contrastive representation learners.
https://www.brighteon.com/415a7e35-311f-4a11-8c3d-6db1fe4cbdf9
David DuByne warns Mike Adams of a wave of crop failures leading to worsening FAMINE by Summer, 2025
https://www.youtube.com/watch?v=62MUeLdcv68
The Decline of Europe: A Savage Civilization’s Slow Collapse -- Shahid Bolsen // Middle Nation
Website Downloaders:
https://www.httrack.com/
https://www.httrack.com/page/2/en/index.html
https://chromewebstore.google.com/detail/website-downloader/iaaokenmfgahhlcfbdipjonlkeinadaa?hl=en&pli=1
https://webrecorder.net/
https://webrecorder.net/
https://websitedownloader.com/
https://sourceforge.net/projects/getleftdown/
https://webtozip.com/
https://www.youtube.com/watch?v=swK8CJ8Zlw8
https://www.gnu.org/software/wget/
https://ftp.wayne.edu/gnu/wget/
https://www.internetdownloadmanager.com/
https://www.cyotek.com/cyotek-webcopy
https://github.com/PKHarsimran/website-downloader
https://www.youtube.com/watch?v=ayhm9wn_9Fw
5 Compounds that Detoxify & Protect the Brain (neuroprotectants) - Dr. Sherr
Alpha Lipoic Acid - Magnesium - Cordycepin - Methylene Blue & Creatine