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AllanICarswellObservatoryThe Allan I. Carswell Observatory is hosting an in-person sky-observing tour! Join us this Wednesday, July 30, at 9:00 PM on the Arboretum Lane Parking Garage just across from the York University Petrie Science and Engineering Building.<br> This is your chance to view the night sky through our 40- and 20-inch telescopes!<br> Date: Wednesday, July 30, 2025<br> Time: 9:00 – 11:00 PM ET<br> Location: Petrie Science and Engineering Building, 3rd Floor<br> Get your free tickets here: www.zeffy.com/en-CA/ticketing/allan-i-carswell-arboretum-in-person-event-july-30th--2025-2<br> <br> <a href="https://pixelfed.social/discover/tags/Astronomy?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Astronomy</a> <a href="https://pixelfed.social/discover/tags/Astronomer?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Astronomer</a> <a href="https://pixelfed.social/discover/tags/Space?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Space</a> <a href="https://pixelfed.social/discover/tags/YorkU?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#YorkU</a> <a href="https://pixelfed.social/discover/tags/Observatory?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Observatory</a> <a href="https://pixelfed.social/discover/tags/AllanICarswellObservatory?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#AllanICarswellObservatory</a> <a href="https://pixelfed.social/discover/tags/Stargazing?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Stargazing</a> <a href="https://pixelfed.social/discover/tags/Telescope?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Telescope</a> <a href="https://pixelfed.social/discover/tags/Planets?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Planets</a> <a href="https://pixelfed.social/discover/tags/Stars?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Stars</a> <a href="https://pixelfed.social/discover/tags/Science?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Science</a> <a href="https://pixelfed.social/discover/tags/Physics?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Physics</a> <a href="https://pixelfed.social/discover/tags/Toronto?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Toronto</a> <a href="https://pixelfed.social/discover/tags/YorkUObservatory?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#YorkUObservatory</a> <a href="https://pixelfed.social/discover/tags/ClearSkies?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#ClearSkies</a> <a href="https://pixelfed.social/discover/tags/Tour?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Tour</a> <a href="https://pixelfed.social/discover/tags/FreeEvents?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#FreeEvents</a> <a href="https://pixelfed.social/discover/tags/FamilyFriendly?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#FamilyFriendly</a> <a href="https://pixelfed.social/discover/tags/ScienceOutreach?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#ScienceOutreach</a> <a href="https://pixelfed.social/discover/tags/Tour?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#Tour</a> <a href="https://pixelfed.social/discover/tags/AICO?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#AICO</a>
News-Cafe.eu blog<p>Scientists propose groundbreaking mission to remote world before it slips away for millennia. The mysterious planetoid Sedna will make its closest approach to the Sun in 2076. <br><a href="https://www.news-cafe.eu/?go=news&amp;n=13720" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">news-cafe.eu/?go=news&amp;n=13720</span><span class="invisible"></span></a><br><a href="https://mastodon.world/tags/solarsystem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solarsystem</span></a> <a href="https://mastodon.world/tags/earth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>earth</span></a> <a href="https://mastodon.world/tags/sedna" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sedna</span></a> <a href="https://mastodon.world/tags/stars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stars</span></a> <a href="https://mastodon.world/tags/space" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>space</span></a> <a href="https://mastodon.world/tags/cosmos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cosmos</span></a> <a href="https://mastodon.world/tags/universe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>universe</span></a> <a href="https://mastodon.world/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://mastodon.world/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.world/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a> <a href="https://mastodon.world/tags/astronomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>astronomy</span></a> <a href="https://mastodon.world/tags/sun" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sun</span></a> <a href="https://mastodon.world/tags/nasa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nasa</span></a> <a href="https://mastodon.world/tags/esa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>esa</span></a></p>
Josh Universe :goldverify:<p>Follow me over on Bluesky, I also have several science feeds there! <a href="https://bsky.app/profile/science.social" rel="nofollow noopener" target="_blank">https://bsky.app/profile/science.social</a> <a href="https://science.social/tags/space" rel="nofollow noopener" target="_blank">#space</a> <a href="https://science.social/tags/astronomy" rel="nofollow noopener" target="_blank">#astronomy</a> <a href="https://science.social/tags/physics" rel="nofollow noopener" target="_blank">#physics</a> <a href="https://science.social/tags/science" rel="nofollow noopener" target="_blank">#science</a></p>
trndgtr.com<p>Math Over Matter in Physics - Eric Weinstein on DOAC</p><p><a href="https://mastodon.social/tags/physicalworld" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physicalworld</span></a> <a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a> <a href="https://mastodon.social/tags/theoreticalphysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theoreticalphysics</span></a> <a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a></p>

Searching for the Seiche

On 16 September 2023, seismometers around the world began ringing, registering a signal that — for 9 days — wobbled back and forth every 92 seconds. A second, similar signal appeared a month later, lasting about a week. Researchers tracked the signal’s origin to a remote fjord in East Greenland, where it appeared a glacier front had collapsed. The falling rocks and ice triggered a long-lasting wave — a seiche — that rang back and forth through the fjord for days.

Simulations showed that a seiche was plausible from a rockfall like the two that caused the seismic signal, but, without first-hand observations, no one could be certain. Now a new study has looked at satellite data to confirm the seiche. Researchers found that the then-new Surface Water and Ocean Topography (SWOT) satellite and its high-resolution altimeters had passed over the fjord multiple during the two landslide events. And, sure enough, the satellite captured data showing the water surface in the fjord rising and falling as the seiche ricocheted back and forth.

It’s a great reminder that having multiple instrument types monitoring the Earth gives us far better data than any singular one. Without both seismometers and the satellite, it’s unlikely that scientists could have truly confirmed a seiche that no one saw firsthand. (Image credit: S. Rysgaard; research credit: T. Monahan et al.; via Eos)

Refreshing to hear someone who has the knowledge and the position speaking against the Everettian Many Worlds interpretation of Quantum Mechanics. I have no opinion on his alternative interpretation yet.

Listening to Sean Carroll’s Mindscape (Episode 323 | Jacob Barandes on Indivisible Stochastic Quantum Mechanics): preposterousuniverse.com/podca

www.preposterousuniverse.com323 | Jacob Barandes on Indivisible Stochastic Quantum Mechanics – Sean Carroll

A few more renderings of how 3-dimensional primordial magnetic fields (in this hypothesis, produced during inflation) could spread in the intergalactic volume between galaxies, after 13.7 billion years of cosmic evolution, in an ENZO simulation.

This is a tomography of the magnetic field along the horizontal B-component (left) and the baryon density (density), going from one to the other side of this periodic universe, 150Megaparsec wide.

We’re excited to invite you to our upcoming GöAID Community Meeting – a gathering of innovators, developers, and AI enthusiasts exploring the next frontier of artificial intelligence.

Topic: AI for Physics
Date: 05.08.2025
Time: 13:00 - 14:00
Location: ONLINE via
⏩ meet.gwdg.de/b/hpc-kt3-cyx-shg
Hosted by: GWDG

Whether you're building with AI or just curious about what's next, this is your chance to stay ahead of the curve.

Let’s shape the future of AI services, together! 🔥😃

#AI#physics#meeting

Weekly Lab Report:

Ongoing progress with configuring the spectrometry equipment.
No discernible progress with the lab electrical remediation.
I received excellent feedback from my supervisor on the theory paper. The week was dominated by working through the comments and corrections. The corrections are promarily addressed. It is the ones that require further reading and clarification that will take up the time.
Safety training and Training around Confirmation of Candidature requirements is ongoing.

The undergrad student from Frankfurt who worked in our lab last year, has been accepted as a Masters Student at the Max Planck Institute, supervised by Ferenc Kraus!. An excellent opportunity for him.

Annika Harris (#Cognitive scientist and philosopher's Sam Harris wife) whos a neuroscience and physics journalist...

1.5 hours interview about #consciousness being the fundamental underpinning of reality.
A reality where #time #space may well be emergent properties of consicousness.

If you are remotely interested in the topic of who we are, "god", #reality, #physics and even #ancestorsimulationtheory

You will defo enjoy this;

This is not woo woo anymore, really serious people are talking about it...

youtube.com/watch?v=4GL4YvX76wg

📰 "Molecular adhesion assay for biopolymer systems"
arxiv.org/abs/2507.19981 #Physics.Bio-Ph #Adhesion #Forces

arXiv logo
arXiv.orgMolecular adhesion assay for biopolymer systemsMolecular adhesion plays a central role in many biological systems, yet existing methods to quantify adhesive strength often struggle to bridge the gap between single-molecule resolution and biologically relevant environments. Here, we present a scalable micromagnetic bead-based adhesion assay capable of quantifying detachment forces under physiologically meaningful conditions. Designed to probe mucoadhesion in the context of mucociliary clearance, our system applies controlled magnetic forces to ligand-coated beads adhered to functionalized substrates and tracks detachment events using high-speed microscopy and calibrated z-displacement mapping. The platform combines substrate- and bead-side surface chemistry control with high-throughput imaging and in situ force calibration via Stokes drag. We demonstrate the ability to distinguish sub-nanonewton to nanonewton force regimes across a range of bead-substrate pairings, including COOH-COOH, PEG-PEG, and cell culture-derived human bronchial epithelial (HBE) mucus interactions. Surface functionalization was validated via fluorescence imaging and zeta potential measurements, while detachment forces were used to estimate binding energy and infer dissociation constants. This assay enables detailed characterization of multivalent, force-sensitive adhesive interactions and offers a powerful new approach for studying bioadhesive systems, including mucus-pathogen interactions and drug delivery materials.

📰 "A Data-Driven Approach for Predicting Hydrodynamic Forces on Spherical Particles Using Volume Fraction Representations"
arxiv.org/abs/2507.20767 #Physics.Flu-Dyn #Physics.Comp-Ph #Forces #Cell

arXiv logo
arXiv.orgA Data-Driven Approach for Predicting Hydrodynamic Forces on Spherical Particles Using Volume Fraction RepresentationsParticle-laden flows are simulated at various scales using numerical techniques that range from particle-resolved Direct Numerical Simulations (pr-DNS) for small-scale systems to Lagrange point-particle methods for laboratory-scale problems, and Euler-Euler approaches for larger-scale applications. Recent research has been particularly focused on the development of both physics-based and data-driven closures to enhance the accuracy of the Lagrangian point-particle approach by leveraging highly resolved data from pr-DNS. In this study, a data-driven methodology is presented for the prediction of hydrodynamic forces acting on spherical particles immersed in an ambient flow field, where neighboring particle information is represented by volume fractions. The volume fractions are computed on an auxiliary grid with cell sizes on the order of the particle diameter. The volume fraction values in the vicinity of each particle are used as input features for the data-driven model to predict the corresponding hydrodynamic forces and moments. The training data was generated by a series of pr-DNS of flow through arrays of randomly distributed, fixed-position particles at various Reynolds numbers and particle volume fractions. The data-driven model is built using Fully Connected Neural Networks (FCNN). Improved prediction accuracy of hydrodynamic forces and torques is demonstrated in comparison to FCNN models that rely on direct particle position inputs. In addition, the proposed volume-fraction-based approach exhibits greater flexibility than previously introduced models by accommodating systems with particles of different sizes and shapes.

📰 "Quantifying lower-limb muscle coordination during cycling using electromyography-informed muscle synergies"
arxiv.org/abs/2507.19637 #Physics.Med-Ph #Mechanical #Q-Bio.Qm #Matrix

arXiv logo
arXiv.orgQuantifying lower-limb muscle coordination during cycling using electromyography-informed muscle synergiesAssessment of muscle coordination during cycling may provide insight into motor control strategies and movement efficiency. This study evaluated muscle synergies and coactivation patterns as indicators of neuromuscular coordination in lower-limb across three power levels of cycling. Twenty recreational cyclists performed a graded cycling test on a stationary bicycle ergometer. Electromyography was recorded bilaterally from seven lower-limb muscles and muscle synergies were extracted using non-negative matrix factorization. The Coactivation Index (CI), Synergy Index (SI), and Synergy Coordination Index (SCI) were calculated to assess muscle coordination patterns. Four muscle synergies were identified consistently across power levels, with changes in synergy composition and activation timing correlated with increased muscular demands. As power level increased, the CI showed reduced muscle coactivation at the knee and greater muscle coactivation at the ankle. The SI revealed a greater contribution of the synergy weights of the extensor muscles than those of the flexor muscles at the knee. In contrast, the relative EMG contribution of hip extensor and flexor muscles remained consistent with increasing power levels. The SCI increased significantly with increasing power level, suggesting a reduction in the size of the synergy space and improved neuromuscular coordination. These findings provide insight into how the central nervous system modulates its response to increasing mechanical demands. Combining synergy and coactivation indices offers a promising approach to assess motor control, inform rehabilitation, and optimize performance in cycling tasks.