Tootfinder

US housing construction falls to 5-year low as tariffs weigh on sector (Stephanie Stacey/Financial Times)
https://www.ft.com/content/3ffaf2cf-815c-4962-95a5-efda946c46c0
http://www.memeorandum.com/250618/p165#a250618p165

An interview with US Press Freedom Tracker Senior Reporter Stephanie Sugars on documenting nearly 62,000 anti-press social posts by Trump over the past 10 years (Liam Scott/Freedom of the Press Foundation)
http://freedom.press/issues/the-repor

The reporter documenting 10 years of Trump’s anti-media posts
Since Trump’s first term as president, Stephanie Sugars has managed an extensive database that documents each and every anti-media post from Trump.

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Md Jahangir Alam Khondkar, Ajan Ahmed, Masudul Haider Imtiaz, Stephanie Schuckers
https://arxiv.org/abs/2506.15000

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Speech enhancement, particularly denoising, is vital in improving the intelligibility and quality of speech signals for real-world applications, especially in noisy environments. While prior research has introduced various deep learning models for this purpose, many struggle to balance noise suppression, perceptual quality, and speaker-specific feature preservation, leaving a critical research gap in their comparative performance evaluation. This study benchmarks three state-of-the-art models W…

South Africa Built a Medical Research Powerhouse. Trump Cuts Have Demolished It. (Stephanie Nolen/New York Times)
https://www.nytimes.com/2025/06/17/health/south-africa-medical-research-trump.html?unlocked_article_code=1.Pk8.ZEjN.PrSZsqsRX0m6&smid=nytcore-ios-share&referringSource=articleShare
http://www.memeorandum.com/250617/p46#a250617p46

Distinguishing Ram Pressure from Tidal Interactions: the Size-Shape Difference (SSD) measure
Rory Smith, Stephanie Tonnesen, Katarina Kraljic, Paula Calderon-Castillo, Antonino Marasco, Yara Jaffe, Benedetta Vulcani, Bianca M. Poggianti
https://arxiv.org/abs/2506.13884

Distinguishing Ram Pressure from Tidal Interactions: the Size-Shape Difference (SSD) measure
Context: In dense environments, disk galaxies can be subjected to tidal interactions with other galaxies and/or ram pressure stripping. Some morphological features are clearly associated with one or the other interaction (e.g. tidal bridges vs long one-sided linear gas tails). But, under certain circumstances, both mechanisms can result in morphological features that could be confused, such as lopsided or asymmetric disks and unwinding spiral arms. Aims: Our aim is to develop new measures for…

Accurate and scalable exchange-correlation with deep learning
Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, Jos\'e Garrido Torres, Abylay Katbashev, B\'alint M\'at\'e, S\'ekou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gor…

Accurate and scalable exchange-correlation with deep learning
Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of the Schrödinger equation, practical applications rely on approximations to the unknown exchange-correlation (XC) functional. Most existing XC functionals are constructed using a limited set of increasingly complex, hand-crafted features that improve accuracy at the expense of computational efficien…

A Language-Agnostic Logical Relation for Message-Passing Protocols
Tesla Zhang, Sonya Simkin, Rui Li, Yue Yao, Stephanie Balzer
https://arxiv.org/abs/2506.10026

A Language-Agnostic Logical Relation for Message-Passing Protocols
Today's computing landscape has been gradually shifting to applications targeting distributed and *heterogeneous* systems, such as cloud computing and Internet of Things (IoT) applications. These applications are predominantly *concurrent*, employ *message-passing*, and interface with *foreign objects*, ranging from externally implemented code to actual physical devices such as sensors. Verifying that the resulting systems adhere to the intended protocol of interaction is challenging -- the usu…

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…

Right now my Masto trending posts are just *chef‘s kiss*
https://wandering.shop/@stephanieburgis/114624916123453843
and:

Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Luca Ballotta, \'Aron V\'ek\'assy, Stephanie Gil, Michal Yemini
https://arxiv.org/abs/2506.08807

Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Wireless communication-based multi-robot systems open the door to cyberattacks that can disrupt safety and performance of collaborative robots. The physical channel supporting inter-robot communication offers an attractive opportunity to decouple the detection of malicious robots from task-relevant data exchange between legitimate robots. Yet, trustworthiness indications coming from physical channels are uncertain and must be handled with this in mind. In this paper, we propose a resilient prot…

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Derk P. Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton
https://arxiv.org/abs/250…

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
Accurate thermochemical data with sub-chemical accuracy (i.e., within $\pm$1 kcal mol$^{-1}$ from sufficiently accurate experimental or theoretical reference data) is essential for the development and improvement of computational chemistry methods. Challenging thermochemical properties such as heats of formation and total atomization energies (TAEs) are of particular interest because they rigorously test the ability of computational chemistry methods to accurately describe complex chemical tran…

Concerning the Responsible Use of AI in the US Criminal Justice System
Cristopher Moore, Catherine Gill, Nadya Bliss, Kevin Butler, Stephanie Forrest, Daniel Lopresti, Mary Lou Maher, Helena Mentis, Shashi Shekhar, Amanda Stent, Matthew Turk
https://arxiv.org/abs/2506.00212

Concerning the Responsible Use of AI in the US Criminal Justice System
Artificial intelligence (AI) is increasingly being adopted in most industries, and for applications such as note taking and checking grammar, there is typically not a cause for concern. However, when constitutional rights are involved, as in the justice system, transparency is paramount. While AI can assist in areas such as risk assessment and forensic evidence generation, its "black box" nature raises significant questions about how decisions are made and whether they can be contested. This pa…

Novel Experimental Platform to realize One-dimensional Quantum Fluids
Stephanie McNamara, Prabin Parajuli, Sutirtha Paul, Garfield Warren, Adrian Del Maestro, Paul E. Sokol
https://arxiv.org/abs/2506.03200

Novel Experimental Platform to realize One-dimensional Quantum Fluids
Templated porous materials, such as MCM-41, due to the uniformity of their onedimensional structure and scalability in synthesis, have emerged as an attractive medium for studying one-dimensional quantum fluids. However, the experimental challenge of synthesizing these materials with pore radii smaller than 15 Angstroms hinders the realization of a one-dimensional quantum liquid of helium within such systems, as the coherence length of helium is shorter than the pore radius. Recently, DelMaestr…

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
Phuc H. Nguyen, Stephanie M. Engel, Amy H. Herring
https://arxiv.org/abs/2506.02518

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
We aim to assess the longitudinal effects of prenatal exposure to phthalates on the risk of childhood obesity in children aged 4 to 7, with potential time-varying and sex-specific effects. Multiple body-composition-related outcomes, such as BMI z-score, fat mass percentage, and waist circumference, are available in the data. Existing chemical mixture analyses often look at these outcomes individually due to the limited availability of multivariate models for mixture exposures. We propose a mult…

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
Stephanie R. Merritt, Grigori Fedorets, Megan E. Schwamb, Samuel Cornwall, Pedro H. Bernardinelli, Mario Juric, Matthew J. Holman, Jacob A. Kurlander, Siegfried Eggl, Drew Oldag, Maxine West, Jeremy Kubica, Joseph Murtagh, R. Lynne Jones, Peter Yoachim, Ryan R. Lyttle, Michael S. P. Kelley, Joachim Moeyens, Kathleen Kiker, Shantanu P. Naidu, Colin Snodgrass, Shannon M. Matthews, Colin Orion Chandler

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide-field survey will collect billions of observations and discover a predicted $\sim$5 million new solar system objects. Like all astronomical surveys, its results will be affected by a complex system of intertwined detection biases. Survey simulators have long been used to forward-model the effects of these biases on a…

🇺🇦 #NowPlaying on BBCRadio3's #ClassicalLive
Sergey Rachmaninov, BBC Scottish Symphony Orchestra & Stephanie Childress:
🎵 Symphonic Dances Op. 45
#SergeyRachmaninov #BBCScottishSymphonyOrchestra #StephanieChildress

Optimization and variability can coexist
Marianne Bauer, William Bialek, Chase Goddard, Caroline M. Holmes, Kamesh Krishnamurthy, Stephanie E. Palmer, Rich Pang, David J. Schwab, Lee Susman
https://arxiv.org/abs/2505.23398

Optimization and variability can coexist
Many biological systems perform close to their physical limits, but promoting this optimality to a general principle seems to require implausibly fine tuning of parameters. Using examples from a wide range of systems, we show that this intuition is wrong. Near an optimum, functional performance depends on parameters in a "sloppy'' way, with some combinations of parameters being only weakly constrained. Absent any other constraints, this predicts that we should observe widely varying parameters,…

📝 Stephanie M. Wyatt remembers Dr. Toni Craven
https://eileencampbellreed.org/2025/06/08/guest-post-remembering-dr-toni-craven/
https://cdn.some.pics/adjb/68472e088bdde.jpg

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
Joseph Murtagh, Megan E. Schwamb, Stephanie R. Merritt, Pedro H. Bernardinelli, Jacob A. Kurlander, Samuel Cornwall, Mario Juri\'c, Grigori Fedorets, Matthew J. Holman, Siegfried Eggl, David Nesvorn\'y, Kathryn Volk, R. Lynne Jones, Peter Yoachim, Joachim Moeyens, Jeremy Kubica, Drew Oldag, Maxine West, Colin Orion Chandler

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will start by the end of 2025 and operate for ten years, offering billions of observations of the southern night sky. One of its main science goals is to create an inventory of the Solar System, allowing for a more detailed understanding of small body populations including the Centaurs, which will benefit from the survey's high cadence and depth. In this paper, we establish the first discovery limits for Centaurs throughout th…

Sorcha: Optimized Solar System Ephemeris Generation
Matthew J. Holman, Pedro H. Bernardinelli, Megan E. Schwamb, Mario Juri\'c, Drew Oldag, Maxine West, Kevin J. Napier, Stephanie R. Merritt, Grigori Fedorets, Samuel Cornwall, Jacob A. Kurlander, Siegfried Eggl, Jeremy Kubica, Kathleen Kiker, Joseph Murtagh, Shantanu P. Naidu, Colin Orion Chandler

Sorcha: Optimized Solar System Ephemeris Generation
Sorcha is a solar system survey simulator built for the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) and future large-scale wide-field surveys. Over the ten-year survey, the LSST is expected to collect roughly a billion observations of minor planets. The task of a solar system survey simulator is to take a set of input objects (described by orbits and physical properties) and determine what a real or hypothetical survey would have discovered. Existing survey simulators hav…

Predictions of the LSST Solar System Yield: Near-Earth Objects, Main Belt Asteroids, Jupiter Trojans, and Trans-Neptunian Objects
Jacob A. Kurlander, Pedro H. Bernardinelli, Megan E. Schwamb, Mario Juric, Joseph Murtagh, Colin Orion Chandler, Stephanie R. Merritt, David Nesvorny, David Vokrouhlicky, R. Lynne Jones, Grigori Fedorets, Samuel Cornwall, Matthew J. Holman, Siegfried Eggl, Drew Oldag, Maxine West, Jeremy Kubica, Peter Yoachim, Joachim Moeyens, Kathleen Kiker, Laura E. Buchan…

Predictions of the LSST Solar System Yield: Near-Earth Objects, Main Belt Asteroids, Jupiter Trojans, and Trans-Neptunian Objects
The NSF-DOE Vera C. Rubin Observatory is a new 8m-class survey facility presently being commissioned in Chile, expected to begin the 10yr-long Legacy Survey of Space and Time (LSST) by the end of 2025. Using the purpose-built Sorcha survey simulator (Merritt et al. In Press), and near-final observing cadence, we perform the first high-fidelity simulation of LSST's solar system catalog for key small body populations. We show that the final LSST catalog will deliver over 1.1 billion observations …