Tootfinder

Stephanie Vamos jumps the route for an unbelievable interception https://www.nfl.com/videos/stephanie-vamos-jumps-the-route-for-an-unbelievable-interception

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
Sarah Jabbour, David Fouhey, Nikola Banovic, Stephanie D. Shepard, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
https://arxiv.org/abs/2508.07617

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
AI has the potential to augment human decision making. However, even high-performing models can produce inaccurate predictions when deployed. These inaccuracies, combined with automation bias, where humans overrely on AI predictions, can result in worse decisions. Selective prediction, in which potentially unreliable model predictions are hidden from users, has been proposed as a solution. This approach assumes that when AI abstains and informs the user so, humans make decisions as they would w…

Long-term Health and Human Capital Effects of Early-Life Economic Conditions
Ruijun Hou (Department of Population Health Sciences, University of Leicester, School of Economics, University of Bristol), Samuel Baker (School of Economics, University of Bristol), Stephanie von Hinke (School of Economics, University of Bristol, Institute for Fiscal Studies, Institute for the Study of Labor), Hans H. Sievertsen (The Danish Center for Social Science Research, VIVE, Institute for the Study of …

Long-term Health and Human Capital Effects of Early-Life Economic Conditions
We study the long-term health and human capital impacts of local economic conditions experienced during the first 1,000 days of life. We combine historical data on monthly unemployment rates in urban England and Wales 1952-1967 with data from the UK Biobank on later-life outcomes. Leveraging variation in unemployment driven by national industry-specific shocks weighted by industry's importance in each area, we find no evidence that small, common fluctuations in local economic conditions during …

Perspective: Mitigation of structural defects during the growth of two-dimensional van der Waals chalcogenides by molecular beam epitaxy
Qihua Zhang, Maria Hilse, Stephanie Law
https://arxiv.org/abs/2508.08483

Perspective: Mitigation of structural defects during the growth of two-dimensional van der Waals chalcogenides by molecular beam epitaxy
The growth of wafer-scale van der Waals (vdW) thin films and heterostructures by molecular beam epitaxy (MBE) is important for future applications in quantum technologies, next generation optoelectronic devices, and fundamental physics investigations. When grown using co-deposition methods that are typically used for compound semiconductor MBE, vdW materials typically show a high density of structural defects including twin or antiphase domains, spiral growth, and pyramidal growth. These defect…

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

A Broadband Squeezed Light Source for Table-Top Interferometry
Fabio Bergamin, Nikitha Kuntimaddi, Abhinav Patra, Stephanie Montoya, Moritz Mehmet, Katherine Dooley, Hartmut Grote, Henning Vahlbruch
https://arxiv.org/abs/2508.08857

A Broadband Squeezed Light Source for Table-Top Interferometry
We report on the characterisation of one of two broadband squeezed light sources developed for the Quantum Enhanced Space-Time (QUEST) experiment, using balanced homodyne detection. QUEST consists of a pair of co-located, table-top, power-recycled Michelson interferometers designed to probe stationary space-time fluctuations. The interferometers are designed to be shot-noise limited in the frequency range from 1 to 200 MHz, and squeezed light will be employed with the goal to reduce the shot no…

Cloudflare vs. KI-Bots: "Die Menschheit braucht vom Menschen gemachte Inhalte"
Der Netzdienstleister blockiert künftig Crawler, die Websites für KI-Training nutzen. Ziel sind neue Geschäftsmodelle, sagt Strategiechefin Stephanie Cohen.

Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Stefanie Urchs, Veronika Thurner, Matthias A{\ss}enmacher, Ludwig Bothmann, Christian Heumann, Stephanie Thiemichen
https://arxiv.org/abs/2508.05680

Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Algorithmic systems such as search engines and information retrieval platforms significantly influence academic visibility and the dissemination of knowledge. Despite assumptions of neutrality, these systems can reproduce or reinforce societal biases, including those related to gender. This paper introduces and applies a bias-preserving definition of algorithmic gender fairness, which assesses whether algorithmic outputs reflect real-world gender distributions without introducing or amplifying …

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…

Qantas confirms personal info of 5.7M customers were held on the system compromised in a recent cyberattack, including names, email addresses, and phone numbers (Stephanie Chalmers/ABC)
https://www.abc.net.au/news/2025-07-09/qan

Qantas confirms 5.7 million customers were impacted in cyber attack
Qantas Group chief executive Vanessa Hudson says the airline is focused on understanding what details of their data have been compromised and will let them know as soon as possible.

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

Stephanie Vamos secures her second interception on a touchdown saving takeaway https://www.nfl.com/videos/stephanie-vamos-secures-her-second-interception-on-a-touchdown-saving-takeaway

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Don't Trust A Single Gerrymandering Metric
Thomas Ratliff, Stephanie Somersille, Ellen Veomett

One task to rule them all: A closer look at traffic classification generalizability
Elham Akbari, Zihao Zhou, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin
https://arxiv.org/abs/2507.06430

One task to rule them all: A closer look at traffic classification generalizability
Existing website fingerprinting and traffic classification solutions do not work well when the evaluation context changes, as their performances often heavily rely on context-specific assumptions. To clarify this problem, we take three prior solutions presented for different but similar traffic classification and website fingerprinting tasks, and apply each solution's model to another solution's dataset. We pinpoint dataset-specific and model-specific properties that lead each of them to overpe…

Oral Argument Transcripts are Now on CourtListener! (Stephanie Taube/Free Law Project Blog)
https://free.law/2025/07/31/oral-argument-transcripts
http://www.memeorandum.com/250731/p116#a250731p116

Weltmeisterin hört auf - Venier nennt Gründe: „… dann hat’s keinen Sinn“ #News #Nachrichten

MAGAZ3NE: Far-IR and Radio Insights into the Nature and Properties of Ultramassive Galaxies at $z\gtrsim3$
Wenjun Chang, Gillian Wilson, Ben Forrest, Ian McConachie, Tracy Webb, Allison G. Noble, Adam Muzzin, Michael C. Cooper, Danilo Marchesini, Gabriela Canalizo, A. J. Battisti, Aur\'elien Le Bail, Percy L. Gomez, Stephanie M. Urbano Stawinski, Marie E. Wisz

MAGAZ3NE: Far-IR and Radio Insights into the Nature and Properties of Ultramassive Galaxies at $z\gtrsim3$
Deep and wide-field near-infrared (NIR) surveys have recently discovered and confirmed ultramassive galaxies (UMGs; $\log (M_{\star}/M_{\odot})>11$) spectroscopically at high redshift. However, most are characterized using only ultraviolet (UV)-to-NIR photometry, offering limited insight into obscured star formation and active galactic nucleus (AGN) activity. In this work, we add ten far-infrared (FIR)-to-radio passbands to the existing UV-to-NIR catalogs for two spectroscopically confirmed UMG…

Source: OpenAI awards bonuses to ~1,000 research and engineering employees, or ~30% of its staff, ranging from several hundred thousand to millions of dollars (Stephanie Palazzolo/The Information)
https://www.theinformation.com/briefings/o

OpenAI Pays Bonuses Ranging Up To Millions of Dollars to 1,000 Researchers, Engineers
OpenAI is paying bonuses to around 1,000 employees on its technical research and engineering teams, or about a third of the company, ranging from the low hundreds of thousands to millions, as the company gears up to release its latest flagship GPT-5 model and faces an ever-rising battle for AI talent, according to a person with knowledge of the bonuses. The size of the bonuses will be

Stephanie and Neely in the locker room
#AlexandraPaul #GenaLeeNolin
Season 6 Episode 22 "Go For The Gold"
#RandomBaywatch

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…

Why Teach Quantum?: Elementary Teachers Initial Beliefs about Quantum
Xiaolu Zhang, Nancy Holincheck, Jessica L. Rosenberg, Stephanie Dodman, Ben W. Dreyfus, Jennifer Simons
https://arxiv.org/abs/2508.03849

Why Teach Quantum?: Elementary Teachers Initial Beliefs about Quantum
This paper examines the initial beliefs held by elementary educators (n=11) and their students about teaching and learning quantum concepts at the elementary level. All teachers were participants in a grant-funded project focused on developing teachers' quantum content knowledge and creating curricular resources to use in elementary classrooms. Although elementary teachers had limited knowledge of quantum at the beginning of the project, they expressed excitement and a belief that learning quan…

Optimality Loss Minimization in Distributed Control with Application to District Heating
Audrey Blizard, Stephanie Stockar
https://arxiv.org/abs/2507.02144

Optimality Loss Minimization in Distributed Control with Application to District Heating
This paper presents a novel partitioning method designed to minimize control performance degradation resulting from partitioning a system for distributed control while maintaining the computational benefits of these methods. A game-theoretic performance metric, the modified Price of Anarchy, is introduced and is used in a generalizable partitioning metric to quantify optimality losses in a distributed controller. By finding the partition that minimizes the partitioning metric, the best-performi…

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Danish Mahmood, Stephanie Buczkowski, Sahaj Shah, Autumn Anthony, Rohini Desetty, Carlo R Bartoli
https://arxiv.org/abs/2507.02024

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Background: In vitro endothelial cell culture is widely used to study angiogenesis. Histomicrographic images of cell networks are often analyzed manually, a process that is time-consuming and subjective. Automated tools like ImageJ (NIH) can assist, but are often slow and inaccurate. Additionally, as endothelial networks grow more complex, traditional architectural metrics may not fully reflect network maturity. To address these limitations, we developed tubuleTracker, a software tool that quan…

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…

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns
Ilias Chalkidis, Stephanie Brandl, Paris Aslanidis
https://arxiv.org/abs/2507.19303

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of instruction-following tasks, yet their grasp of nuanced social science concepts remains underexplored. This paper examines whether LLMs can identify and classify fine-grained forms of populism, a complex and contested concept in both academic and media debates. To this end, we curate and release novel datasets specifically designed to capture populist discourse. We evaluate a range of pre-trained (larg…

You know, it's funny. I just read about someone in DC saying we had too many federal holidays. I know she's going for a state declaration, not a federal holiday. I just think the timing is amusing. #Pennsylvania
https://www.…

Pennsylvania lawmaker pushes "Day of the Bible" resolution based on historical myth
From pushing religion in schools to denying climate change, Rep. Stephanie Borowicz is on a holy mission—truth be damned

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Stephanie Anne Johnson:
🎵 Glory Be
#StephanieAnneJohnson
https://stephanieannejohnson.bandcamp.com/track/glory-be
https://open.spotify.com/track/2zEkyD5JB2zbPjtVDvq635

Recipe for Discovery: A Framework for Systematic Open Source Project Identification
Juanita Gomez, Emily Lovell, Stephanie Lieggi, Alvaro A. Cardenas, James Davis
https://arxiv.org/abs/2506.18359

Measuring the splashback feature: Dependence on halo properties and history
Qiaorong S. Yu (Oxford Math, Oxford Physics), Stephanie O'Neil (UPenn, Princeton, MIT), Xuejian Shen (MIT), Mark Vogelsberger (MIT), Sownak Bose (Durham), Boryana Hadzhyska (Lawrence Berkeley Lab, UC Berkeley, Cambridge Astronomy, Kavli Institute Cambridge), Lars Hernquist (CfA Harvard), Rahul Kannan (York), Monica Wu (NYU Math), Ziang Wu (NYU Math, NYU Engineering)

Measuring the splashback feature: Dependence on halo properties and history
In this study, we define the novel splashback depth $\mathcal{D}$ and width $\mathcal{W}$ to examine how the splashback features of dark matter haloes are affected by the physical properties of haloes themselves. We use the largest simulation run in the hydrodynamic MillenniumTNG project. By stacking haloes in bins of halo mass, redshift, mass-dependent properties such as peak height and concentration, and halo formation history, we measure the shape of the logarithmic slope of the density prof…

📝 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

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Ian Lumsden, Dewi Yokelson, Stephanie Brink, Olga Pearce, Thomas R. W. Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer
https://arxiv.org/abs/2507.…

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) represent an unprecedented computational capability that addresses a fundamental challenge in space physics: resolving the multi-scale coupling between microscopic (electron-scale) and macroscopic (global-scale) dynamics in planetary magnetospheres. The implicit scheme of iPIC3D supports time steps and grid spacing that a…

Warm-starting Strategies in Scalarization Methods for Multi-Objective Optimization
Stephanie Riedm\"uller (Zuse Institute Berlin), Janina Zittel (Zuse Institute Berlin), Thorsten Koch (Zuse Institute Berlin, Technische Universit\"at Berlin)
https://arxiv.org/abs/2507.21933

Warm-starting Strategies in Scalarization Methods for Multi-Objective Optimization
We explore how warm-starting strategies can be integrated into scalarization-based approaches for multi-objective optimization in (mixed) integer linear programming. Scalarization methods remain widely used classical techniques to compute Pareto-optimal solutions in applied settings. They are favored due to their algorithmic simplicity and broad applicability across continuous and integer programs with an arbitrary number of objectives. While warm-starting has been applied in this context befor…

RFK Jr. Accuses Gavi, Global Vaccine Agency, of Ignoring Science (Stephanie Nolen/New York Times)
https://www.nytimes.com/2025/06/25/health/kennedy-vaccines-gavi.html
http://www.memeorandum.com/250625/p69#a250625p69

Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr
Ian McConachie, Jacqueline Antwi-Danso, Wenjun Chang, M. C. Cooper, Adit Edward, Ben Forrest, Percy Gomez, Han Lei, Zach J. Lewis, Danilo Marchesini, Michael V. Maseda, Adam Muzzin, Allison Noble, Stephanie M. Urbano Stawinski, Tracy Webb, Gillian Wilson, M. E. Wisz
https://

Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr
We present the analysis of an ancient galaxy at $z=2.675$ which we dub ``Eridu.'' Simultaneously modeling the JWST/NIRSpec G140M and G235M spectra from the SMILES program and $0.4-25\ μ\mathrm{m}$ HST, JWST/NIRCam, and JWST/MIRI photometry from the the JADES+SMILES photometric catalogs shows that Eridu is massive and quiescent with stellar mass $\log(M_*/\mathrm{M_\odot})=10.96^{+0.01}_{-0.01}$ and average star formation rate $<1\ \mathrm{M_\odot\ yr^{-1}}$ over the last 100 Myr. Star formatio…

Ski-Weltmeisterin - Ende oder Wende? Venier verkündet Entscheidung #News #Nachrichten

Quantum Carpets of Higgs particles in a Supersolid
Koushik Mukherjee, Malte Schubert, Ralf Klemt, Thomas Bland, Tilman Pfau, Stephanie Reimann
https://arxiv.org/abs/2507.00989

Quantum Carpets of Higgs particles in a Supersolid
Supersolids formed from dipolar Bose-Einstein condensates (BECs) exhibit spontaneous density modulation while maintaining global phase coherence. This state of matter supports gapped amplitude (Higgs) excitations featuring a quadratic dispersion relation. While Higgs modes are typically strongly damped due to coupling with other amplitude and phase modes, imposing an experimentally realistic toroidal geometry allows us to numerically study the time evolution and dispersion of a localized Higgs …

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…

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Don't Trust A Single Gerrymandering Metric
Thomas Ratliff, Stephanie Somersille, Ellen Veomett

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…

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…

Revealing tensions in neutron star observations with pressure anisotropy
Peter T. H. Pang, Stephanie M. Brown, Thibeau Wouters, Chris Van Den Broeck
https://arxiv.org/abs/2507.13039

Revealing tensions in neutron star observations with pressure anisotropy
Pressure isotropy, i.e., radial pressure equal to tangential pressure, is often assumed when studying neutron stars. However, multiple physical mechanisms, including pion/kaon condensation, magnetic fields, superfluidity, dark matter clustering, and violations of general relativity, can lead to a pressure anisotropy. This work presents a comprehensive measurement of pressure anisotropy in neutron stars. Our analysis incorporates both an extensive set of nuclear experimental constraints and mult…

Sources: GPT-5 shows improved performance in coding, particularly in practical software engineering tasks, outperforming prior OpenAI models and Claude Sonnet 4 (Stephanie Palazzolo/The Information)
https://www.theinformation.com/articles/openais-gpt-5-shines-coding…

OpenAI’s GPT-5 Shines in Coding Tasks
GPT-5 is almost here, and we’re hearing good things. The early reaction from at least one person who’s used the unreleased version was extremely positive.That’s good news for OpenAI. The ChatGPT creator has been under pressure to show major gains from its next big artificial intelligence model ...

U.S. Quietly Drafts Plan to End Program That Saved Millions From AIDS (Stephanie Nolen/New York Times)
https://www.nytimes.com/2025/07/23/health/pepfar-shutdown.html
http://www.memeorandum.com/250723/p85#a250723p85

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN
Maxwell J. Kiernan, Rashid Al Mukaddim, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese
https://arxiv.org/abs/2507.22848

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN
Background: Ultrasound imaging plays a pivotal role in diagnosing carotid atherosclerosis, a significant precursor to cardiovascular and cerebrovascular diseases and events. This non-invasive modality provides real-time, high-resolution images, allowing clinicians to assess atherosclerotic plaques in the carotid arteries without invasive procedures. Purpose: In this study, we present the refinement of a Mask R-CNN model initially designed for carotid lumen detection to automatically generate bo…

One Does Not Simply 'Mm-hmm': Exploring Backchanneling in the AAC Micro-Culture
Tobias Weinberg, Claire O'Connor, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs Roumen
https://arxiv.org/abs/2506.17890

One Does Not Simply 'Mm-hmm': Exploring Backchanneling in the AAC Micro-Culture
Backchanneling (e.g., "uh-huh", "hmm", a simple nod) encompasses a big part of everyday communication; it is how we negotiate the turn to speak, it signals our engagement, and shapes the flow of our conversations. For people with speech and motor impairments, backchanneling is limited to a reduced set of modalities, and their Augmentative and Alternative Communication (AAC) technology requires visual attention, making it harder to observe non-verbal cues of conversation partners. We explore how…

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,…

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…

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…

Partitioning of Eddy Covariance Footprint Evapotranspiration Using Field Data, UAS Observations and GeoAI in the U.S. Chihuahuan Desert
Habibur R. Howlider, Hernan A. Moreno, Marguerite E. Mauritz, Stephanie N. Marquez
https://arxiv.org/abs/2507.14829

Partitioning of Eddy Covariance Footprint Evapotranspiration Using Field Data, UAS Observations and GeoAI in the U.S. Chihuahuan Desert
This study proposes a new method for computing transpiration across an eddy covariance footprint using field observations of plant sap flow, phytomorphology sampling, uncrewed aerial system (UAS), deep learning-based digital image processing, and eddy covariance micrometeorological measurements. The method is applied to the Jornada Experimental Range, New Mexico, where we address three key questions: (1) What are the daily summer transpiration rates of Mesquite (Prosopis glandulosa) and Creosot…

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Stephanie Lamprea & Amble Skuse & Stephanie Lamprea:
🎵 Live at Eavesdropping, Cafe Oto
#StephanieLamprea #AmbleSkuse

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

Relaxing Direct Ptychography Sampling Requirements via Parallax Imaging Insights
Georgios Varnavides, Julie Marie Bekkevold, Stephanie M Ribet, Mary C Scott, Lewys Jones, Colin Ophus
https://arxiv.org/abs/2507.18610

Relaxing Direct Ptychography Sampling Requirements via Parallax Imaging Insights
Direct ptychography enables the retrieval of information encoded in the phase of an electron wave passing through a thin sample by deconvolving the interference effect of a converged probe with known aberrations. Under the weak phase object approximation, this permits the optimal transfer of information using non-iterative techniques. However, the achievable resolution of the technique is traditionally limited by the probe step size -- setting stringent Nyquist sampling requirements. At the sam…

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 …

Quantitative structure determination from experimental four-dimensional scanning transmission electron microscopy via the scattering matrix
Emmanuel W. C. Terzoudis-Lumsden, Alireza Sadri, Matthew Weyland, Laure Bourgeois, Stephanie M. Ribet, Georgios Varnavides, Colin Ophus, Timothy C. Petersen, Scott D. Findlay
https://arxiv.o…

Quantitative structure determination from experimental four-dimensional scanning transmission electron microscopy via the scattering matrix
Considerable inroads have recently been made on algorithms to determine the sample potential from four-dimensional scanning transmission electron microscopy data from thick samples where multiple scattering cannot be neglected. This paper further develops the scattering matrix approach to such structure determination. Through simulation, we demonstrate how this approach can be modified to better handle partial spatial coherence, unknown probe defocus, and information from the dark field region.…

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

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…

What Quality Engineers Need to Know about Degradation Models?
Jared M. Clark, Jie Min, Mingyang Li, Richard L. Warr, Stephanie P. DeHart, Caleb B. King, Lu Lu, Yili Hong
https://arxiv.org/abs/2507.14666

What Quality Engineers Need to Know about Degradation Models?
Degradation models play a critical role in quality engineering by enabling the assessment and prediction of system reliability based on data. The objective of this paper is to provide an accessible introduction to degradation models. We explore commonly used degradation data types, including repeated measures degradation data and accelerated destructive degradation test data, and review modeling approaches such as general path models and stochastic process models. Key inference problems, includ…

Modulation of Calcium Signaling on Demand to Decipher the Molecular Mechanisms of Primary Aldosteronism
Bakhta Fedlaoui, Teresa Cosentino, Zeina Al Sayed, Rita Alexandre Coelho, Isabelle Giscos-Douriez, Nicolo Faedda, May Fayad, Jean-Sebastien Hulot, Christopher Magnus, Scott Sternson, Simon Travers-Allard, Stephanie Baron, David Penton, Fabio Fernandes-Rosa, Maria-Christina Zennaro, Sheerazed Boulkroun

Modulation of Calcium Signaling on Demand to Decipher the Molecular Mechanisms of Primary Aldosteronism
BACKGROUND: Primary aldosteronism is the most common form of secondary hypertension. The most frequent genetic cause of aldosterone-producing adenomas is somatic mutations in the potassium channel KCNJ5. They affect the ion selectivity of the channel, with sodium influx leading to cell membrane depolarization and activation of calcium signaling, the major trigger for aldosterone biosynthesis. METHODS: To investigate how KCNJ5 mutations lead to the development of aldosterone-producing adenomas, …

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ChemZz I: Comparing Oxygen and Iron Abundance Patterns in the Milky Way, the Local Group and Cosmic Noon
Stephanie Monty, Allison L. Strom, Thomas M. Stanton, Martyna Chru\'sli\'nska, Fergus Cullen, Chiaki Kobayashi, Tjitske Starkenburg, Souradeep Bhattacharya, Jason L. Sanders, Mark Gieles
https://arxiv.org/abs/2507.140…

ChemZz I: Comparing Oxygen and Iron Abundance Patterns in the Milky Way, the Local Group and Cosmic Noon
Our understanding of the chemical evolution of galaxies has advanced through measurements from both distant galaxies across redshift, and our own Milky Way (MW). To form a comprehensive picture, it is essential to unify these constraints, placing them on a common scale and parlance and to understand their systematic differences. In this study, we homogenize oxygen and iron measurements from star-forming galaxies at Cosmic Noon ($z{\sim}2-3$) with resolved stellar abundances from the Local Group…

Wavelength Requirements for Life Detection via Reflected Light Spectroscopy of Rocky Exoplanets
Joshua Krissansen-Totton, Anna Grace Ulses, Maxwell Frissell, Samantha Gilbert-Janizek, Amber Young, Jacob Lustig-Yaeger, Tyler Robinson, Stephanie Olson, Eleonora Alei, Giada Arney, Celeste Hagee, Chester Harman, Natalie Hinkel, Emilie Lafleche, Natasha Latouf, Avi Mandell, Mark M. Moussa, Niki Parenteau, Sukrit Ranjan, Blair Russell, Edward W. Schwieterman, Clara Sousa-Silva, Armen Tokadji…

Wavelength Requirements for Life Detection via Reflected Light Spectroscopy of Rocky Exoplanets
Searching for signs of life is a primary goal of the Habitable Worlds Observatory (HWO). However, merely detecting oxygen, methane, or other widely discussed biosignatures is insufficient evidence for a biosphere. In parallel with biosignature detection, exoplanet life detection additionally requires characterization of the broader physicochemical context to evaluate planetary habitability and the plausibility that life could produce a particular biosignature in a given environment. Life detect…

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…

Kinematics of Circumgalactic O VI Gas and Disk Rotation of $z\approx0.2$ Star-forming Galaxies
Stephanie H. Ho, Crystal L. Martin, Hasti Nateghi, Glenn G. Kacprzak, Jonathan Stern
https://arxiv.org/abs/2507.11664

Kinematics of Circumgalactic O VI Gas and Disk Rotation of $z\approx0.2$ Star-forming Galaxies
Quasar sightline observations reveal that low-ionization-state gas corotates with the galaxy disk and often at sub-centrifugal velocities, suggesting that the gas is spiraling towards the galaxy disk. However, while observations ubiquitously detect O VI absorption around low-redshift, $\sim L^*$ star-forming galaxies, the relationship between O VI and the galaxy disk, especially the kinematics, is not well-established. This work focuses on the O VI kinematics and its comparison with that of the…