Tootfinder

Please share this link about the EIGHT (STEM / coding / design / engineering summer camps Shelly Fryer and I are teaching in June and July 2025 through "Summer at Providence Day School!"
https://lessons.wesfryer.com/courses/summer-2025

Lessons by Dr. Wesley Fryer (wesfryer.com) - Summer 2025
Students: Come have FUN this summer and develop your STEM / coding / design skills with Dr. Fryer and Mrs. Fryer at "Summer Day School at Providence Day School!" All week-long classes are open to BOTH current PDS students and students attending other schools! Direct links to register for each camp

People With Severe Diabetes Are Cured in Small Trial of New Drug - The New York Times
https://www.nytimes.com/2025/06/20/health/diabetes-cure-insulin-stem-cell.html

RoboBlimp: Enhancing Middle School STEM through Educational Bioinspired Blimps
Alexia De Costa
https://arxiv.org/abs/2506.13844 https://

RoboBlimp: Enhancing Middle School STEM through Educational Bioinspired Blimps
This study investigates the educational potential of Flappy, a low-cost, bioinspired robotic blimp platform modeled after the motion of manta rays, as a hands-on STEM learning tool for middle school students. Building on prior research emphasizing the role of social and bioinspired robotics in education, a one-day workshop was developed to introduce ten students to fundamental concepts in physics, engineering, and computer science. Participants constructed and programmed their own robotic blimp…

Ik probeer weer eens te wennen aan die 'nieuwe' James Herriot versie... T blijft maar een rare serie als iedereen er zo raar uit ziet met verkeerde stemmen. Voorsl die hoge toon als James opgewonden is, mis ik. Tis nou allemaal zo vlak. Net als de meer uitgesproken stem van de oude Siegfried.

#BBCnl
@bbcnl@a.gup.pe

STEM-ing Parkinson’s
STEM-ing Parkinson's 🗓️ 3/23/25 • 🕑 01:04:05 • 📁 126 MB Podcast: 2 Parkies in a Pod: a Parkinson's Podcast Author: Dave Clark & Kuhan Web player: Episode: In this episode we head to Scotland and the Centre for Regenerative Medicine, University of Edinburgh. We chat with Professor Tilo Kunath one of the world’s leading experts in stem cell research.

AI is just another productivity tool and the productivity gains will be limited; for lasting economic expansion, AI must catalyze new industries and initiatives (Carl Benedikt Frey/Financial Times)
https://www.ft.com/content/55bc5876-254a-4daa-86f8-2cd0d939a866

AI alone cannot solve the productivity puzzle
Economic miracles stem from discovery, not repeating tasks at greater speed

Multi-angle precession electron diffraction (MAPED): a versatile approach to 4D-STEM precession
Stephanie M. Ribet, Rohan Dhall, Colin Ophus, Karen C. Bustillo
https://arxiv.org/abs/2506.11327

Multi-angle precession electron diffraction (MAPED): a versatile approach to 4D-STEM precession
Precession of a converged beam during acquisition of a 4D-STEM dataset improves strain, orientation, and phase mapping accuracy by averaging over continuous angles of illumination. Precession experiments usually rely on integrated systems, where automatic alignments lead to fast, high-quality results. The dependence of these experiments on specific hardware and software is evident even when switching to non-integrated detectors on a precession tool, as experimental set-up becomes challenging an…

Self-consciousness and personal identity in quantum panprotopsychism
Rodolfo Gambini, Jorge Pullin
https://arxiv.org/abs/2505.11530 https://

Self-consciousness and personal identity in quantum panprotopsychism
In previous papers, we demonstrated that an ontology of quantum mechanics, described in terms of states and events with internal phenomenal aspects (a form of panprotopsychism), is well suited to explain consciousness. We showed that the combination problems of qualities, structures and subjects in panpsychism and panprotopsychism stem from implicit hypotheses based on classical physics regarding supervenience, which are not applicable at the quantum level. Within this view, consciousness arise…

#fluffy #birds time of year again; these (checks) Coot chicks are adorable.
#wildlife

Stem cell research biobank is holding a going-out-of-business sale | STAT
https://www.statnews.com/2025/07/11/stem-cell-research-cirm-biobank-shutting-down-launches-human-tissue-closeout-sale/

Fresh off new contract, 49ers TE George Kittle wants to play as long as possible https://www.espn.com/nfl/story/_/id/45704271/san-francisco-49ers-tight-end-george-kittle-new-contract-stats-stem-cell-therapy

Every year between 40,000 and 60,000 women leave their technology jobs in UK.
https://www.computing.co.uk/news/2025/leadership-strategy/2025-lovelace-report-reveals-billions-lost-by-women-leaving-tech

Lovelace Report reveals £2-3.5 billion annual loss from women leaving UK tech
2025 Lovelace Report sets out just how much female attrition from tech is costing, why it happens and what companies can do to stem the ...

Kennedy Says 'Charlatans' Are No Reason to Block Unproven Stem Cell Treatments (Christina Jewett/New York Times)
https://www.nytimes.com/2025/06/05/health/kennedy-stem-cells-experimental-treatments.html
http://www.memeorandum.com/250605/p147#a250605p147

Women in STEM: Interview with Halina Abramowicz
Elisabetta Gallo, Henriette Ullmann
https://arxiv.org/abs/2507.08857 https://arxiv.or…

Women in STEM: Interview with Halina Abramowicz
This short article is a first of a series describing the scientific journey of exceptional women scientists in experimental particle physics. We interviewed Halina Abramowicz, who started her career in hadron-hadron interactions, in neutrino physics, became an expert of strong interactions, guided the European Particle Physics Strategy Update in 2020 and now moved to an experiment in strong-field QED.

ARRC: Explainable, Workflow-Integrated Recommender for Sustainable Resource Optimization Across the Edge-Cloud Continuum
Brian-Frederik Jahnke, Ren\'e Brinkhege, Jan Peter Meyer, Daniel Tebernum, Falk Howar
https://arxiv.org/abs/2507.12032

ARRC: Explainable, Workflow-Integrated Recommender for Sustainable Resource Optimization Across the Edge-Cloud Continuum
Achieving sustainable, explainable, and maintainable automation for resource optimization is a core challenge across the edge-cloud continuum. Persistent overprovisioning and operational complexity often stem from heterogeneous platforms and layered abstractions, while systems lacking explainability and maintainability become fragile, impede safe recovery, and accumulate technical debt. Existing solutions are frequently reactive, limited to single abstraction layers, or require intrusive platfo…

Optical absorption in hexagonal-diamond Si and Ge nanowires: insights from STEM-EELS experiments and ab initio theory
Luiz H. G. Tizei, Michele Re Fiorentin, Thomas Dursap, Theodorus M. van den Berg, Marc T\'unica, Maurizia Palummo, Mathieu Kociak, Laetitia Vincent, Michele Amato
https://arxiv.org/abs/2506.10543

Optical absorption in hexagonal-diamond Si and Ge nanowires: insights from STEM-EELS experiments and ab initio theory
Hexagonal-diamond (2H) group IV nanowires are key for advancing group IV-based lasers, quantum electronics, and photonics. Understanding their dielectric response is crucial for performance optimization, but their optical absorption properties remain unexplored. We present the first comprehensive study of optical absorption in 2H-Si and 2H-Ge nanowires, combining high-resolution STEM, monochromated EELS, and ab initio simulations. The nanowires, grown in situ in a TEM as nanobranches on GaAs st…

today i cycled along a dried up stream. found a couple pools of water remaining. loadsa white butterflies drinking from the bank. and a gret fat dragonfly that kept fucking off every time i pointed my camera at it. i was there for ages but could not get a shot. i could just imagine - "NO PICTURES you scrawny ol' bastard, fuck off" so i rode around for a hour or so, came back and finally got this shot. ha ha
🦟

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison
Aymeric de Chillaz, Anna Sotnikova, Patrick Jermann, Antoine Bosselut
https://arxiv.org/abs/2507.03013

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison
Generative AI systems have rapidly advanced, with multimodal input capabilities enabling reasoning beyond text-based tasks. In education, these advancements could influence assessment design and question answering, presenting both opportunities and challenges. To investigate these effects, we introduce a high-quality dataset of 201 university-level STEM questions, manually annotated with features such as image type, role, problem complexity, and question format. Our study analyzes how these fea…

FYI, some private foundations have stepped up to provide grants for #STEM #Education and #Research, as a stop gap for those whose federal grants have been terminated:

Logic Pro: Update speichert Musikideen automatisch
Apple hat die Mac- und iPad-Varianten seiner Profi-Musiksuite erweitert. Es gibt einen neuen Stem Splitter plus "Flashback Capture" für Vergessliche.

In Vitro Antibacterial activity of hexane, Chloroform and methanolic extracts of different parts of Acronychia pedunculata grown in Sri Lanka
R. D. Nimantha Karunathilaka, Athige Rajith Niloshan Silva, Chathuranga Bharathee Ranaweera, D. M. R. K. Dissanayake, N. R. M. Nelumdeniya, Ranjith Pathirana, W. D. Ratnasooriya
https://ar…

In Vitro Antibacterial activity of hexane, Chloroform and methanolic extracts of different parts of Acronychia pedunculata grown in Sri Lanka
This study accessed the antibacterial potential in vitro of hexane, chloroform and methanol extracts made from leaves, stem bark, flowers, seeds or roots of Sri Lankan grown Acronychia pedunculata plant against two Gram positive bacteria, Staphylococus aureus (ATCC 25923) and Bacilus cereus (ATCC 11778), and two Gram negative bacteria, Pseudomonas aeruginosa (ATCC 9027) and Escherichia coli (ATCC 35218), using agar disc diffusion bioassay technique. The results showed that none the of the extra…

My dad had a stem cell transplant last year (he's doing great!) and the 2 most interesting things about it are that his blood type changed from A- to O and that his fingerprints changed.
Never would have thought those things were possible.
Aren't bodies/science neat?

The Origin of Structure in the Auroral Ionosphere
Magnus F Ivarsen, Kaili Song, Luca Spogli, Jean-Pierre St-Maurice, Brian Pitzel, Saif Marei, Devin R Huyghebaert, Satoshi Kasahara, Kunihiro Keika, Yoshizumi Miyoshi, Yoichi Kazama, Shiang-Yu Wang, Ayako Matsuoka, Iku Shinohara, Shoichiro Yokota, P. T. Jayachandran, Glenn C Hussey
https://

The Origin of Structure in the Auroral Ionosphere
The auroral ionosphere presents a paradox: turbulence often thrives in a conductive layer that should suppress the growth rates of plasma instabilities. Using a novel composite power spectrum from coherent radar and GPS data, we show that turbulence on a wide range of scales stem not from local instabilities. Instead, its spectrum is a structural imprint of field-aligned electrical currents, and its dissipative character is governed by the flux of precipitating particles. Our measurements provi…

Imaging 3D polarization dynamics via deep learning 4D-STEM
Jinho Byun, Keeyong Lee, Myoungho Jeong, Eunha Lee, Jeongil Bang, Haeryong Kim, Geun Ho Gu, Sang Ho Oh
https://arxiv.org/abs/2506.06598

Imaging 3D polarization dynamics via deep learning 4D-STEM
Recent advances in ferroelectrics highlight the role of three-dimensional (3D) polar entities in forming topological polar textures and generating giant electromechanical responses, during polarization rotation. However, current electron microscopy methods lack the depth resolution to resolve the polarization component along the electron beam direction, which restricts full characterization. Here, we present a deep learning framework combined with four-dimensional scanning transmission electron…

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
Ulzee An, Moonseong Jeong, Simon A. Lee, Aditya Gorla, Yuzhe Yang, Sriram Sankararaman
https://arxiv.org/abs/2507.08254

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
Current challenges in developing foundational models for volumetric imaging data, such as magnetic resonance imaging (MRI), stem from the computational complexity of training state-of-the-art architectures in high dimensions and curating sufficiently large datasets of volumes. To address these challenges, we introduce Raptor (Random Planar Tensor Reduction), a train-free method for generating semantically rich embeddings for volumetric data. Raptor leverages a frozen 2D foundation model, pretra…

Anti-Aliased 2D Gaussian Splatting
Mae Younes, Adnane Boukhayma
https://arxiv.org/abs/2506.11252 https://arxiv.org/pdf/2506.11252

Anti-Aliased 2D Gaussian Splatting
2D Gaussian Splatting (2DGS) has recently emerged as a promising method for novel view synthesis and surface reconstruction, offering better view-consistency and geometric accuracy than volumetric 3DGS. However, 2DGS suffers from severe aliasing artifacts when rendering at different sampling rates than those used during training, limiting its practical applications in scenarios requiring camera zoom or varying fields of view. We identify that these artifacts stem from two key limitations: the l…

Check out activities, videos and resources from Shelly Fryer’s “Rocket Camp” this week:
#stem

Mrs. Fryer's Classroom - Rocket Camp
Description July 7-11, 2025 Summer Camp: The Summer Rocket Lab is a week-long adventure into the exciting world of rocketry and space exploration. Designed for young minds eager to learn and create, the camp offers two age-specific sessions tailored to 2nd and 3rd graders, as well as incoming 4th

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance
Zhang Li, Biao Yang, Qiang Liu, Shuo Zhang, Zhiyin Ma, Shuo Zhang, Liang Yin, Linger Deng, Yabo Sun, Yuliang Liu, Xiang Bai
https://arxiv.org/abs/2507.06272

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance
While large multi-modal models (LMMs) demonstrate promising capabilities in segmentation and comprehension, they still struggle with two limitations: inaccurate segmentation and hallucinated comprehension. These challenges stem primarily from constraints in weak visual comprehension and a lack of fine-grained perception. To alleviate these limitations, we propose LIRA, a framework that capitalizes on the complementary relationship between visual comprehension and segmentation via two key compon…

Apex dandelion predator 🐰

Managed to do a fine-scale repair for the first time in years, always a pleasure when it goes well. One of my backup earbuds split along the stem, with half the polycarbonate case and a contact plate falling out. A speck of medical skin adhesive (polyacrylate “superglue“) on each end of the case seam appears to have done the trick w/o losing the pinch functions. WOOT!

This https://arxiv.org/abs/2506.03038 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Towards Analyzing and Understanding the Limitations of VAPO: A Theoretical Perspective
Reinforcement learning (RL) enhances large language models (LLMs) in complex, long-chain-of-thought (long-CoT) reasoning. The advanced VAPO framework, despite sophisticated mechanisms like Decoupled GAE, theoretically faces fundamental limitations in comprehensively modeling and leveraging deep, long-term value for fine-grained, step-by-step policy guidance in extended reasoning chains. We argue these limitations stem from inherent difficulties in credit assignment, value function representatio…

AdaDec: Uncertainty-Guided Adaptive Decoding for LLM-based Code Generation
Kaifeng He, Mingwei Liu, Chong Wang, Zike Li, Yanlin Wang, Xin Peng, Zibin Zheng
https://arxiv.org/abs/2506.08980

AdaDec: Uncertainty-Guided Adaptive Decoding for LLM-based Code Generation
Code generation with large language models (LLMs) is highly sensitive to token selection during decoding, particularly at uncertain decision points that influence program logic. While standard strategies like greedy and beam search treat all tokens uniformly, they overlook code-specific uncertainty patterns, leading to suboptimal performance. This paper presents an empirical study revealing that many generation errors stem from ranking mistakes at high-uncertainty steps, where the correct token…

Transaction Categorization with Relational Deep Learning in QuickBooks
Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das
https://arxiv.org/abs/2506.09234

Transaction Categorization with Relational Deep Learning in QuickBooks
Automatic transaction categorization is crucial for enhancing the customer experience in QuickBooks by providing accurate accounting and bookkeeping. The distinct challenges in this domain stem from the unique formatting of transaction descriptions, the wide variety of transaction categories, and the vast scale of the data involved. Furthermore, organizing transaction data in a relational database creates difficulties in developing a unified model that covers the entire database. In this work, …

Generative AI for Multiple Choice STEM Assessments
Christina Perdikoulias, Chad Vance, Stephen M. Watt
https://arxiv.org/abs/2506.02094 https://

Generative AI for Multiple Choice STEM Assessments
Artificial intelligence technology enables a range of enhancements in computer-aided instruction, from accelerating the creation of teaching materials to customizing learning paths based on learner outcomes. However, ensuring the mathematical accuracy and semantic integrity of generative AI output remains a significant challenge, particularly in STEM disciplines. In this study, we explore the use of generative AI in which "hallucinations" -- typically viewed as undesirable inaccuracies -- can i…

Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria
Arne Nothdurft, Valentin Sarkleti, Tobias Ofner-Graff, Andreas Tockner, Christoph Gollob, Tim Ritter, Ralf Kra{\ss}nitzer, Philip Svazek, Martin K\"uhmaier, Karl Stampfer, Andrew O. Finley
https://

Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria
Regression models were evaluated to estimate stand-level growing stock volume (GSV), quadratic mean diameter (QMD), basal area (BA), and stem density (N) in the Brixen im Thale forest district of Austria. Field measurements for GSV, QMD, and BA were collected on 146 inventory plots using a handheld mobile personal laser scanning system. Predictor variables were derived from airborne laser scanning (ALS)-derived normalized digital surface and terrain models. The objective was to generate stand-l…

User-guided Generative Source Separation
Yutong Wen, Minje Kim, Paris Smaragdis
https://arxiv.org/abs/2507.01339 https://arxiv.org/pd…

User-guided Generative Source Separation
Music source separation (MSS) aims to extract individual instrument sources from their mixture. While most existing methods focus on the widely adopted four-stem separation setup (vocals, bass, drums, and other instruments), this approach lacks the flexibility needed for real-world applications. To address this, we propose GuideSep, a diffusion-based MSS model capable of instrument-agnostic separation beyond the four-stem setup. GuideSep is conditioned on multiple inputs: a waveform mimicry con…

Bridging the Digital Divide: Small Language Models as a Pathway for Physics and Photonics Education in Underdeveloped Regions
Asghar Ghorbani, Hanieh Fattahi
https://arxiv.org/abs/2506.12403

Bridging the Digital Divide: Small Language Models as a Pathway for Physics and Photonics Education in Underdeveloped Regions
Limited infrastructure, scarce educational resources, and unreliable internet access often hinder physics and photonics education in underdeveloped regions. These barriers create deep inequities in Science, Technology, Engineering, and Mathematics (STEM) education. This article explores how Small Language Models (SLMs)-compact, AI-powered tools that can run offline on low-power devices, offering a scalable solution. By acting as virtual tutors, enabling native-language instruction, and supporti…

Enhanced Mesenchymal Stem Cell Response with Preserved Biocompatibility via (MnZn)Ferrite--Polyacrylonitrile Composite Nanofiber Membranes
Baran Sarac, Elham Sharifikolouei, Matej Micusik, Alessandro Scalia, Ziba Najmi, Andrea Cochis, Lia Rimondini, Gabriele Barrera, Marco Coisson, Selin G\"umr\"ukc\"u, Eray Y\"uce, A. Sezai Sarac

Enhanced Mesenchymal Stem Cell Response with Preserved Biocompatibility via (MnZn)Ferrite--Polyacrylonitrile Composite Nanofiber Membranes
This study focuses on the synthesis and characterization of advanced polymeric composite electrospun nanofibers (NFs) containing magnetic oxide nanoparticles (NPs). By leveraging the method of electrospinning, the research aims to investigate polymer composites with enhanced interfacial properties, improved double-layer capacitance, and adequate biocompatibility. Electrospun polyacrylonitrile (PAN) NFs embedded with Fe2O3 and MnZn ferrite NPs were comprehensively characterized using advanced te…

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods
Mine Dogucu, Jingchen Hu, Amy H Herring
https://arxiv.org/abs/2505.02298

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods
Educating the next generation of scientists in statistical methodology is an important task. Educating their instructors in statistical content knowledge and pedagogical knowledge is as important and provides an indirect impact of students' learning. Statisticians are in a place to lead train-the-trainer (TTT) programs in different methods. We present our instructor training program in Bayesian methods as an effective case study of a TTT model. In addition to describing the details of the struc…

Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor
Emet Behrendt, Shing Wai Pun, Prashant J. Nair
https://arxiv.org/abs/2506.06773

Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor
Branch prediction is key to the performance of out-of-order processors. While the CBP-2016 winner TAGE-SC-L combines geometric-history tables, a statistical corrector, and a loop predictor, over half of its remaining mispredictions stem from a small set of hard-to-predict (H2P) branches. These branches occur under diverse global histories, causing repeated thrashing in TAGE and eviction before usefulness counters can mature. Prior work shows that simply enlarging the tables offers only marginal…

from my link log —
DIY book lamp: simple electronics meets paper craft.
https://www.voltpaperscissors.com/diybooklamp
saved 2025-04-27

Easy DIY Book Lamp for Kids (11+) and adults — Volt, Paper, Scissors!
I invented this DIY book lamp to introduce children to electronics. I use it in STEM education, but it turns out to be a fun project for adults too.

A fern I saw last week in Shindagin Hollow; I took a lot of pictures this weekend in town and at Monkey Run but didn't do much developing because I was busy fixing a busted webcrawler (and playing some Death End Re:Quest)
#photo #photography

Vietnam ends two-child policy as birth rate hits record low | The Straits Times
https://www.straitstimes.com/asia/se-asia/vietnam-ends-two-child-policy-to-stem-falling-birth-rates

STEM Diffraction Pattern Analysis with Deep Learning Networks
Sebastian Wissel, Jonas Scheunert, Aaron Dextre, Shamail Ahmed, Andreas Bayer, Kerstin Volz, Bai-Xiang Xu
https://arxiv.org/abs/2507.01889

STEM Diffraction Pattern Analysis with Deep Learning Networks
Accurate grain orientation mapping is essential for understanding and optimizing the performance of polycrystalline materials, particularly in energy-related applications. Lithium nickel oxide (LiNiO$_{2}$) is a promising cathode material for next-generation lithium-ion batteries, and its electrochemical behaviour is closely linked to microstructural features such as grain size and crystallographic orientations. Traditional orientation mapping methods--such as manual indexing, template matching…

Great scientists - great loo stories:
'When it comes to the population of Great Britain being invited by a multinational to wipe their bottoms on what appears to be the work of a knight of the realm without his permission," the director of Pentaplex said, "then a last stand must be made."'

Steven Shapin · Through the Trapdoor: Roger Penrose’s Puzzles
Stephen Hawking may have been a genius, but ‘Roger Penrose’s insights seem to stem from some superhuman life-form...

This https://arxiv.org/abs/2502.03503 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Analyzing limits for in-context learning
We examine limits of in-context learning (ICL) in transformer models trained from scratch, focusing on function approximation tasks as a controlled setting to uncover fundamental behaviors. While we show empirically that transformer models can generalize, approximating unseen classes of polynomial (non linear) functions, they cannot generalize beyond certain values. We provide both empirical and mathematical arguments explaining that these limitations stem from architectural components, namely …

Fast Simulation of Damage Diffusion Distribution in Scanning Transmission Electron Microscopy
Amir Javadi Rad, Amirafshar Moshtaghpour, Dongdong Chen, Angus I. Kirkland
https://arxiv.org/abs/2507.00294

Fast Simulation of Damage Diffusion Distribution in Scanning Transmission Electron Microscopy
Scanning Transmission Electron Microscopy (STEM) is a critical tool for imaging the properties of materials and biological specimens at atomic scale, yet our understanding of relevant electron beam damage mechanisms is incomplete. Recent studies suggest that certain types of damage can be modelled as a diffusion process. However, numerical simulation of such diffusion processes has remained computationally intensive. This work introduces a high-performance C++ framework for simulating damage di…

Day 2 of “Rocket 🚀 Camp” with Shelly Fryer! Elementary age students are building foam rockets today. Shelly is “in her happy place” teaching students STEM engineering who are in “The Artemis Generation!”
https://summer.providenceday.org…

This https://arxiv.org/abs/2506.02499 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds
We propose a new dataset for cinematic audio source separation (CASS) that handles non-verbal sounds. Existing CASS datasets only contain reading-style sounds as a speech stem. These datasets differ from actual movie audio, which is more likely to include acted-out voices. Consequently, models trained on conventional datasets tend to have issues where emotionally heightened voices, such as laughter and screams, are more easily separated as an effect, not speech. To address this problem, we buil…

ITHURIEL’S SPEAR!!!!!!!!!!!!!1111 😍😍😍 #BloomScrolling #CaliforniaNatives #NatureyCrap #BayAreaHellscape

Higgs pole inflation with loop corrections in light of ACT results
Jeonghak Han, Hyun Min Lee, Jun-Ho Song
https://arxiv.org/abs/2506.21189 https://…

Higgs pole inflation with loop corrections in light of ACT results
We present the Coleman-Weinberg potential for the inflaton in the pole inflation scenarios such as the Higgs pole inflation and the Peccei-Quinn (PQ) pole inflation. The loop corrections stem from the Standard Model particles and extra singlet scalar fields in the former case, making the quartic coupling for the Higgs inflaton modified by the inflaton-dependent power corrections during inflation. We also obtain similar power corrections to the quartic coupling for the PQ inflaton, depending on …

Bills first-round pick Maxwell Hairston accused of sexual assault, team dismisses claim after investigation

https://www.cbssports.com/nfl/news/…

National Science Foundation Workers to Issue “Alexandria Declaration” Decrying “Catastrophic Changes” Under Trump Administration
#NSF #Science #Funding #Research #STEM

Spatial correlations of charge density wave order across the transition in 2H-NbSe2
Seokjo Hong, Jaewhan Oh, Woohyun Cho, Soyoung Lee, Colin Ophus, Yeongkwan Kim, Heejun Yang, SungBin Lee, Yongsoo Yang
https://arxiv.org/abs/2506.02991

Spatial correlations of charge density wave order across the transition in 2H-NbSe2
Charge density waves (CDWs) involve coupled amplitude and phase degrees of freedom, but direct access to local amplitude correlations remains experimentally challenging. Here, we report cryogenic four-dimensional scanning transmission electron microscopy (4D-STEM) measurements of CDW ordering in 2H-NbSe2, enabled by liquid helium-based cooling down to 20 K. By mapping the spatial distribution of CDW superlattice intensities at nanometer-scale resolution and analyzing their autocorrelations, we …

Team LA at SCIDOCA shared task 2025: Citation Discovery via relation-based zero-shot retrieval
Trieu An, Long Nguyen, Minh Le Nguyen
https://arxiv.org/abs/2506.18316

Team LA at SCIDOCA shared task 2025: Citation Discovery via relation-based zero-shot retrieval
The Citation Discovery Shared Task focuses on predicting the correct citation from a given candidate pool for a given paragraph. The main challenges stem from the length of the abstract paragraphs and the high similarity among candidate abstracts, making it difficult to determine the exact paper to cite. To address this, we develop a system that first retrieves the top-k most similar abstracts based on extracted relational features from the given paragraph. From this subset, we leverage a Large…

Cancer model with moving extinction threshold reproduces real cancer data
Frank Bastian, Hassan Alkhayuon, Kieran Mulchrone, Micheal O'Riordain, Sebastian Wieczorek
https://arxiv.org/abs/2506.05992

Cancer model with moving extinction threshold reproduces real cancer data
We propose a simple dynamic model of cancer development that captures carcinogenesis and subsequent cancer progression. A central idea of the model is to include the immune system as an extinction threshold, similar to the strong Allee effect in population biology. We first identify the limitations of commonly used Allee effect models in reproducing typical cancer progression. We then address these limitations by deriving a new model that incorporates: (i) random mutations of stem cells at a ra…

Hybrid high-order approximations of div-curl systems on domains with general topology
J\'er\'emy Dalphin, Jean-Pierre Ducreux, Simon Lemaire, Silvano Pitassi
https://arxiv.org/abs/2506.19616

Hybrid high-order approximations of div-curl systems on domains with general topology
We devise and analyze hybrid polyhedral methods of arbitrary order for the approximation of div-curl systems on three-dimensional domains featuring non-trivial topology. The div-curl systems we are interested in stem from magnetostatics, and can either be first-order (field formulation) or second-order (vector potential formulation). The well-posedness of the resulting discrete problems essentially hinges on recently established, topologically generic, hybrid versions of the (first and second) …

Sister, seems like we were all afraid you wouldn’t survive your first winter inside
But you thrived
And now, I hear maybe you are moving to Central Park - pretty swank
See you soon
👋 ❤️ 🌖 🌳
#nasa #MoonTree #nyc #nasagiss
https://www.nasa.gov/learning-resources/nasa-stem-artemis-moon-trees/

The Genetic Code Paradox: Extreme Conservation Despite Demonstrated Flexibility
Marc Bara Iniesta
https://arxiv.org/abs/2507.01139 https://

The Genetic Code Paradox: Extreme Conservation Despite Demonstrated Flexibility
The universal genetic code presents a fundamental paradox in molecular biology. Recent advances in synthetic biology have demonstrated that the code is remarkably flexible--organisms can survive with 61 codons instead of 64, natural variants have reassigned codons 38+ times, and fitness costs of recoding stem primarily from secondary mutations rather than code changes themselves. Yet despite billions of years of evolution and this proven flexibility, approximately 99% of life maintains an ident…

Jamming as a topological satisfiability transition with contact number hyperuniformity and criticality
Jin Shang, Yinqiao Wang, Deng Pan, Yuliang Jin, Jie Zhang
https://arxiv.org/abs/2506.16474

Jamming as a topological satisfiability transition with contact number hyperuniformity and criticality
The jamming transition between flow and amorphous-solid states exhibits paradoxical properties characterized by hyperuniformity (suppressed spatial fluctuations) and criticality (hyperfluctuations), whose origin remains unclear. Here we model the jamming transition by a topological satisfiability transition in a minimum network model with simultaneously hyperuniform distributions of contacts, diverging length scales and scale-free clusters. We show that these phenomena stem from isostaticity an…

Autonomous Fabrication of Tailored Defect Structures in 2D Materials using Machine Learning-enabled Scanning Transmission Electron Microscopy
Zijie Wu, Kevin M. Roccapriore, Ayana Ghosh, Kai Xiao, Raymond R. Unocic, Stephen Jesse, Rama Vasudevan, Matthew G. Boebinger
https://arxiv.org/abs/2507.01194

Autonomous Fabrication of Tailored Defect Structures in 2D Materials using Machine Learning-enabled Scanning Transmission Electron Microscopy
Materials with tailored quantum properties can be engineered from atomic scale assembly techniques, but existing methods often lack the agility and accuracy to precisely and intelligently control the manufacturing process. Here we demonstrate a fully autonomous approach for fabricating atomic-level defects using electron beams in scanning transmission electron microscopy (STEM) that combines advanced machine learning and automated beam control. As a proof of concept, we achieved controlled fabr…

Topology, Kinetics and Inheritance in Clonal Colonies of Bone Marrow Stromal Cells
Alessandro Allegrezza, Riccardo Beschi, Domenico Caudo, Andrea Cavagna, Alessandro Corsi, Antonio Culla, Samantha Donsante, Giuseppe Giannicola, Irene Giardina, Giorgio Gosti, Tomas S. Grigera, Stefania Melillo, Biagio Palmisano, Leonardo Parisi, Lorena Postiglione, Mara Riminucci, Francesco Saverio Rotondi

Topology, Kinetics and Inheritance in Clonal Colonies of Bone Marrow Stromal Cells
Bone marrow stromal cells (BMSCs), whose populations contain multipotent skeletal stem cells with relevant therapeutic applications, are known to produce very heterogeneous colonies upon in vitro culture, a trait that may severely hinder the clinical usefulness of BMSC-based therapies. Therefore, reaching a better insight on the nature of such heterogeneity, as well as on the factors determining it, is important. Here, by using time-lapse microscopy, we study the structure of N=28 human BMSC co…

This https://arxiv.org/abs/2405.15049 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Breaking Barriers: Investigating Gender Dynamics in Introductory Physics Lab Classes
The persistent underrepresentation of women and other gender minorities in physical science fields has been an ongoing concern. This study investigates gender dynamics in introductory physics laboratory courses, focusing on whether students of different gender identities exhibit equal inclination and confidence in conducting lab experiments, and whether they face barriers that impact their participation. Conducted across three institutions and involving non-physics STEM students enrolled in alg…

Road through Dark$\nu$ess: Probing dark matter-neutrino interactions using KM3-230213A
Ranjini Mondol, Subhadip Bouri, Akash Kumar Saha, Ranjan Laha
https://arxiv.org/abs/2506.19910

Road through Dark$ν$ess: Probing dark matter-neutrino interactions using KM3-230213A
KM3NeT has recently reported an event where a muon of energy $120^{+110}_{-60}$ PeV was observed at its ARCA detector, which can stem from a very high-energy neutrino interaction in the vicinity of the detector. Besides revolutionizing our understanding of high-energy neutrino sources, this event can serve as a valuable probe for studying Beyond the Standard Model (BSM) interactions of neutrinos. In this work, we study the dark matter (DM)-neutrino interaction by assuming the neutrino for the e…

DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds
Takuya Hasumi, Yusuke Fujita
https://arxiv.org/abs/2506.02499 https:/…

DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds
We propose a new dataset for cinematic audio source separation (CASS) that handles non-verbal sounds. Existing CASS datasets only contain reading-style sounds as a speech stem. These datasets differ from actual movie audio, which is more likely to include acted-out voices. Consequently, models trained on conventional datasets tend to have issues where emotionally heightened voices, such as laughter and screams, are more easily separated as an effect, not speech. To address this problem, we buil…

This https://arxiv.org/abs/2502.17841 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Quantifying interdisciplinary synergy in higher STEM education
We propose a framework to quantify and utilize interdisciplinarity in science and engineering curricula in the case of university-level higher education. We analyze interdisciplinary relations by standardizing large-scale official educational data in Korea using a cutting-edge large language model and constructing knowledge maps for disciplines of scientific education. We design and evaluate single-field and integrated dual-field curricula by adapting pedagogical theory and utilizing informatio…

Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration
Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang
https://arxiv.org/abs/2506.15843

Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration
Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this can degrade CBF measurement fidelity, particularly when the overall signal level is low. Such errors primarily stem from residual speckle contrast associated with camera and shot noise, whose fluctuations exhibit a temporal structure that mimics cerebral blood…

Multislice Hollow Ptychography for Simultaneous Atomic-Layer-Resolved 3D Structural Imaging and Spectroscopy
Yu Lei, Peng Wang
https://arxiv.org/abs/2506.22352

Multislice Hollow Ptychography for Simultaneous Atomic-Layer-Resolved 3D Structural Imaging and Spectroscopy
Electron matter interactions in electron microscopy produce both elastic and inelastic scattering, forming the basis for imaging and spectroscopy. However, the integration of electron energy loss spectroscopy (EELS) with 4D-STEM and electron ptychography remains challenging because of detector geometry conflicts. Song et al. solved this issue by introducing a hollow type pixelated detector that enables hollow ptychography and allows low angle electrons to go through to the EELS spectrometer. Th…

Member of Gourdlandia precession wears a placard and holds a gourd with a long stem
#ithaca #photo #photography #portrait

This https://arxiv.org/abs/2505.21739 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Reflections of Cultural Wealth: Exploring Identity in Physics through Photo Elicitation
This paper presents a photo elicitation project that invites students to explore their identities in STEM and surface the cultural wealth they bring into the physics classroom. Grounded in critical race theory, educational theory, and affective neuroscience, the project asks students to take original photographs representing aspects of their lived experience-such as motivation, belonging, and support systems-and to write short reflections connecting these images to their journey in science. The…

Reflections of Cultural Wealth: Exploring Identity in Physics through Photo Elicitation
Zosia Krusberg
https://arxiv.org/abs/2505.21739 https://

Reflections of Cultural Wealth: Exploring Identity in Physics through Photo Elicitation
This paper presents a photo elicitation project that invites students to explore their identities in STEM and surface the cultural wealth they bring into the physics classroom. Grounded in critical race theory, educational theory, and affective neuroscience, the project asks students to take original photographs representing aspects of their lived experience-such as motivation, belonging, and support systems-and to write short reflections connecting these images to their journey in science. The…

Visualization enhances Problem Solving in Multi-Qubit Systems: An Eye-Tracking Study
Jonas Bley, Eva Rexigel, Alda Arias, Lars Krupp, Nikolas Longen, Paul Lukowicz, Stefan K\"uchemann, Jochen Kuhn, Maximilian Kiefer-Emmanouilidis, Artur Widera
https://arxiv.org/abs/2505.21508

Visualization enhances Problem Solving in Multi-Qubit Systems: An Eye-Tracking Study
Quantum Information Science (QIS) is a vast, diverse, and abstract field. In consequence, learners face many challenges. Science, Technology, Engineering, and Mathematics (STEM) education research has found that visualizations are valuable to aid learners in complex matters. The conditions under which visualizations pose benefits are largely unexplored in QIS education. In this eye-tracking study, we examine the conditions under which the visualization of multi-qubit systems in addition to the …

A tiny flower of the buttercup family that I spotted in the woods
#photo #photography #caroline #shindagin

Introducing Quantum Computing to High-School Curricula: A Global Perspective
Mar\'ia Gragera Garc\'es, Luis G\'omez Orzechowski, Juan Francisco Rodr\'iguez Hern\'andez
https://arxiv.org/abs/2505.14809

Introducing Quantum Computing to High-School Curricula: A Global Perspective
Quantum computing is an emerging field with growing implications across science and industry, making early educational exposure increasingly important. This paper examines how quantum computing concepts can be introduced into high-school STEM curricula within existing structures to enhance foundational learning in mathematics, computer science, and physics. We outline a modular integration strategy introducing key quantum ideas into standard courses, leveraging open-source educational resources…