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Cowboys Make Unfortunate NFL History Not Seen in 26 Years https://heavy.com/sports/nfl/dallas-cowboys/cowboys-make-unfortunate-nfl-history-not-seen-in-26-years/?adt_ei=[email]

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Afrin Dange, Sunita Sarawagi
https://arxiv.org/abs/2509.13906 https://

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Time Series Foundation Models (TSFMs) have recently achieved state-of-the-art performance in univariate forecasting on new time series simply by conditioned on a brief history of past values. Their success demonstrates that large-scale pretraining across diverse domains can acquire the inductive bias to generalize from temporal patterns in a brief history. However, most TSFMs are unable to leverage covariates -- future-available exogenous variables critical for accurate forecasting in many appl…

Click, Watch, Learn: The Impact of Student Self-Study Materials on Physics E&M Course Outcomes
James K. Hirons, Jonathan D. Perry, Dawson T. Nodurft, Scott Crawford, William Bassichis, Tatiana L. Erukhimova
https://arxiv.org/abs/2508.12143

Click, Watch, Learn: The Impact of Student Self-Study Materials on Physics E&M Course Outcomes
Performance in introductory courses, particularly physics, is often crucial for student success in STEM majors and can impact an individual's tendency to persist in their chosen field. To enhance students' individual learning experiences, faculty at many universities have worked to develop open-access, self-study materials to help build conceptual understanding and problem-solving skills. Faculty at Texas A&M University have contributed to these efforts, creating more than 200 online video reso…

Lucky Loser: How Donald Trump Squandered His Father's Fortune and Created the Illusion of Success (IndieCommerce)
https://politics-prose.com/book/9780593298664
http://www.memeorandum.com/250916/p165#a250916p165

SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q Weinberger, Zeyu Jin
https://arxiv.org/abs/2509.14298

SpeechOp: Inference-Time Task Composition for Generative Speech Processing
While generative Text-to-Speech (TTS) systems leverage vast ``in-the-wild" data to achieve remarkable success, speech-to-speech processing tasks like enhancement face data limitations, which lead data-hungry generative approaches to distort speech content and speaker identity. To bridge this gap, we present SpeechOp, a multi-task latent diffusion model that transforms pre-trained TTS models into a universal speech processor capable of performing a wide range of speech tasks and composing them i…

Room acoustics affect communicative success in hybrid meeting spaces: a pilot study
Robert Einig, Stefan Janscha, Jonas Schuster, Julian Koch, Martin Hagmueller, Barbara Schuppler
https://arxiv.org/abs/2509.11709

Room acoustics affect communicative success in hybrid meeting spaces: a pilot study
Since the COVID-19 pandemic in 2020, universities and companies have increasingly integrated hybrid features into their meeting spaces, or even created dedicated rooms for this purpose. While the importance of a fast and stable internet connection is often prioritized, the acoustic design of seminar rooms is frequently overlooked. Poor acoustics, particularly excessive reverberation, can lead to issues such as misunderstandings, reduced speech intelligibility or cognitive and vocal fatigue. Thi…

Arecibo Wow! II: Revised Properties of the Wow! Signal from Archival Ohio SETI Data
Abel M\'endez, Kevin N. Ortiz Ceballos, Jorge I. Zuluaga, Kelby D. Palencia-Torres, Allison J. Smith, Alondra Cardona Rodr\'iguez, H\'ector Socas-Navarro, David Kipping, Hodari-Sadiki Hubbard-James, Mai Le, Alejandro Rinc\'on-Torres
https://…

Arecibo Wow! II: Revised Properties of the Wow! Signal from Archival Ohio SETI Data
The Wow! Signal, detected in 1977 by the Ohio State University SETI project, remains one of the most intriguing unexplained radio transients. The most recent significant revision of its properties took place in the late 1990s; however, further advances were limited by readily available data from this event. Here we retrieved and analyzed decades of previously unpublished Ohio SETI observations, enabling the most comprehensive re-evaluation of the properties of the Wow! Signal to date with moder…

Stingrays in the radio sky: Two unusual diffuse radio relic sources in the direction of the Magellanic Stream
Zachary J Smeaton, Miroslav D Filipovic, Barbel S Koribalski, Manami Sasaki, Rami Z E Alsaberi, Aaron C Bradley, Evan J Crawford, Shi Dai, Nikhel Gupta, Frank Haberl, Andrew M Hopkins, Thomas H Jarrett, Sanja Lazarevi\'c, Denis Leahy, Peter Macgregor, Gavin Rowell, Stanislav S Shabala, Dejan Urosevic, Jacco Th van Loon, Tessa Vernstrom

Stingrays in the radio sky: Two unusual diffuse radio relic sources in the direction of the Magellanic Stream
We present the discovery of two extended, low surface brightness radio continuum sources, each consisting of a near-circular body and an extended tail of emission, nicknamed Stingray 1 (ASKAP J0129-5350) and Stingray 2 (ASKAP J0245-5642). Both are found in the direction of the Magellanic Stream (MS) and were discovered in the Australian Square Kilometre Array Pathfinder (ASKAP) Evolutionary Map of the Universe (EMU) survey at 944 MHz. We combine the ASKAP data with low-frequency radio observati…

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SKYSURF VIII -- Modeling SKYSURF Completeness Data for Comparison to the Hubble Space Telescope Exposure Time Calculator
Zachary Goisman (Arizona State University School of Earth and Space Exploration, Arizona State University School of Electrical and Computer Engineering), Timothy Carleton (Arizona State University School of Earth and Space Exploration), Seth H. Cohen (Arizona State University School of Earth and Space Exploration), Delondrae Carter (Arizona State University School of…

SKYSURF VIII -- Modeling SKYSURF Completeness Data for Comparison to the Hubble Space Telescope Exposure Time Calculator
Accurately assessing image source completeness is critical for interpreting measurements on telescope data. Using the Wide Field Camera 3 (WFC3) and Advanced Camera for Surveys (ACS) data from the Hubble Space Telescope ($HST$) archival project "SKYSURF", we model galaxy completeness as a function of the exposure time and background of an image. This is accomplished by adding simulated objects with varying magnitudes and sizes into these images, and determining the detection rate for each set o…