Been Cutting Tea Out of The Tea Bags, because of Microplastics in The Tea Bags, & Using Metal Tea Ball Soaking in Boiling Water, but Problemโฆ
โฆThe Tea Leaks Out of The Tiny Screen Holes of The Metal Tea Ball.
The only solution I can think of is using those metal, tiny screen holes that sit on top of the tea cup
Place a piece of the our species (using the term normally used is sexist) food grade cheese cloth in the metal, tiny screen holes sitting on top of the tea cup
Cut out the tea from the tea bag & place it on top of the our species (using the term normally used is sexist) food grade cheese cloth in the metal, tiny screen holes,
Then pouring the boiling water over the tea & wait for dripping to stop, remove all from top of the tea cup
&
Wait for the tea to slightly cool.
Do they make cheese cloth that is our species (using the term normally used is sexist) food grade?
What do you all think?
&
Any other solutions?
๐ง๐ถ๐ฝ ๐ฑ - ๐ฆ๐๐ฏ๐บ๐ถ๐ ๐ฏ๐ฒ๐ณ๐ผ๐ฟ๐ฒ ๐๐ต๐ฒ ๐ฟ๐๐๐ต. Deadlines (BRT): ๐ง๐ฎ๐น๐ธ๐ ๐๐ฒ๐ฏ ๐ต, ๐ฎ๐ฌ๐ฎ๐ฒ (๐ฎ๐ฏ:๐ฑ๐ต) โข ๐ฃ๐ผ๐๐๐ฒ๐ฟ๐ ๐๐ฒ๐ฏ ๐ญ๐ฒ, ๐ฎ๐ฌ๐ฎ๐ฒ (๐ฎ๐ฏ:๐ฑ๐ต). Portal: indico.cern.ch/event/152280...
#ICHEP2026 #ParticlePhysics #HEP #HighEnergyPhysics #CallForAbstracts
(6/6)
Submitting an abstract to ICHEP 2026? Hereโs a quick ๐ฑ-๐๐ถ๐ฝ ๐๐ต๐ฟ๐ฒ๐ฎ๐ฑ + deadlines. Portal: https://indico.cern.ch/event/1522800/abstracts/
#ICHEP2026 #ParticlePhysics #HEP #HighEnergyPhysics #CallForAbstracts
(1/6)

43rd International Conference on High Energy Physics The International Conference on High Energy Physics (ICHEP) is the flagship event in the field of particle physics, organized under the auspices of the C11 commission of the International Union of Pure and Applied Physics (IUPAP). For over half a century, it has been held biennially, serving as the leading venue where groundbreaking results and discoveries are first unveiled. Bringing together physicists from across the globe, ICHEP...
Theme 2026: โFCC-ee Readinessโ โ focusing on the precision era of collider physics and the tools needed for next-generation measurements.
Kindly supported by LPCC & Next Generation Triggers.
Details & registration:
https://indico.cern.ch/e/mcnetschool2026

The 19th MCnet school will be held CERN. The school provides a five-day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is aimed at advanced doctoral students and early-career postdocs. Please note that the school will take place in person only; a remote participation option will not be offered. Our core sessions comprise a series of introductory...
๐ ๐๐๐๐๐ฃ ๐ฎ๐ฌ๐ฎ๐ฒ โ ๐๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐ ๐ฆ๐๐ฏ๐บ๐ถ๐๐๐ถ๐ผ๐ป ๐๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ: ๐ต ๐๐ฒ๐ฏ๐ฟ๐๐ฎ๐ฟ๐ ๐ฎ๐ฌ๐ฎ๐ฒ
Submit your abstract here: https://indico.cern.ch/event/1522800/abstracts/
@Bubbleverse Agreement isn't the goalโrevelation is. ๐ค While we diverge on the nature of singularities, reality remains the final judge.
Iโm now looking toward the #BelleII team and their cutting-edge research on quantum information to provide the light we need. Let the precision of the B-factory show if these "signals" are just model limits or the very fabric of a holographic universe. โ๏ธโจ
#TheoreticalPhysics #BelleII #AdSCFT #QuantumGravity #HEP #Holography #QuantumInformation #TheoryHEP

We present OmniMol, a state-of-the-art transformer-based small molecule machine-learned interatomic potential (MLIP). OmniMol is built by adapting Omnilearned, a foundation model for particle jets found in high-energy physics (HEP) experiments such as at the Large Hadron Collider (LHC). Omnilearned is built with a Point-Edge-Transformer (PET) and pre-trained using a diverse set of one billion particle jets. It includes an interaction-matrix attention bias that injects pairwise sub-nuclear (HEP) or atomic (molecular-dynamics) physics directly into the transformer's attention logits, steering the network toward physically meaningful neighborhoods without sacrificing expressivity. We demonstrate OmniMol using the oMol dataset and find excellent performance even with relatively few examples for fine-tuning. This study lays the foundation for building interdisciplinary connections, given datasets represented as collections of point clouds.
My paper was refereed, and accepted 'as is'. I've just submitted the final version to the organizer.
"Vacuum, Gravitation, and Standard Model Structure from
Deterministic Mechanics"
I feel the slow speed of conventional publishing, it being 18 months since I presented the work. This is why preprints exist! (which reminds me, I'll update my website soon, with my latest editorial fixes)