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Physics Preprint PDF DOI

The DAMSA Experiment

Prithak Bhattarai, Andrew Brandt, Alan Bross, Bradley Brown, Samriddha Chakraborty, Haohui Che, Bhupal Dev, Bhaskar Dutta, Juan V. Estrada, Eric Garcia, Anthony Gomez, Gajendra Gurung, Brian Joshua Gomez Hernandez, Wooyoung Jang, Jay Hyun Jo, Krzysztof Jod{l}owski, Doojin Kim, Eunsu Kim, Hyunyong Kim, Shin Hyung Kim, Young-Kee Kim, Jing Liu, Chang-Seong Moon, Donna Naples, David Nygren, Minseok Oh, Vittorio Paolone, Hyangkyu Park, Jong-Chul Park, Nathaniel J. Pastika, Rohit Raut, Juergen Reichenbacher, Paul Rubinov, Eunsuk Seo, Veronika Shalamova, Seodong Shin, Melvin Shochet, Adrian Thompson, Yau Wah, Shawn Westerdale, Guang Yang, Un-Ki Yang, Inseok Yoon, Jaehoon Yu · 2026

DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for evidence of a dark s…

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Computer Science Preprint PDF DOI

Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments

Jipeng Tan, Weifeng Zhang, Ye Wu, Jialin Guo, Yong Min · 2026

Recommendation algorithms have become the dominant mechanism for information distribution on digital platforms, profoundly shaping personalized information consumption environments. However, gender bi…

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Computer Science Preprint PDF DOI

Adoption of TikTok as a Learning Tool in Physical Education: Evidence from the Philippines

Vanessa B. Sibug, Jan Henry B. Sunga, Emerson Q. Fernando, Roe Vincent S. Ovejas, Arjan Gil S. Mendoza, Trisha Anne A. Onofre, Agnes R. Regala, John Paul P. Miranda · 2026

This study examines the factors that influence the adoption of TikTok as a learning tool for physical education (PE)-related content among tertiary students in the Philippines. The study applies the T…

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Biology & Life Sciences Preprint PDF DOI

Equation Learning for multiscale models of infectious diseases

James W. G. Doran, Cameron A. Smith, Christian A. Yates, Ruth Bowness · 2026

Tuberculosis (TB) is an airborne disease caused by the pathogen Mycobacterium tuberculosis. In 2023, according to the World Health Organization, it ''probably'' replaced COVID-19 as the leading cause …

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Mathematics Preprint PDF DOI

Rapid decay and localizability for Fell bundles over etale Groupoids

Alcides Buss, Pradyut Karmakar · 2026

We introduce a notion of the Rapid Decay Property (RDP) for Fell bundles over locally compact Hausdorff \'etale groupoids, extending earlier rapid decay theories for \'etale groupoids and twists. Our …

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AI & Data Science Preprint PDF DOI

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

Ines Abbes, Mahmood Alzubaidi, Mowafa Househ, Khalid Alyafei, Marco Agus, Samir Brahim Belhaouari · 2026

Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-aware representation …

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Biology & Life Sciences Preprint PDF DOI

Differential Analysis of Microbial Interaction Networks

Marianna Milano, Pietro Hiram Guzzi · 2026

Microbiome studies increasingly indicate that disease-associated shifts cannot be understood from compositional changes alone. The functional architecture of microbial communities encoded in patterns …

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AI & Data Science Preprint PDF DOI

On cross-validation for small area estimators

Qianyu Dong, Zehang Richard Li · 2026

Subnational monitoring of public health often relies on household surveys where data are sparse at the desired spatial resolution. Small area estimation (SAE) methods address this challenge by borrowi…

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

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Physics Preprint PDF DOI

Gender equality activities in Astronomical Society of Japan

Aya Bamba (U. Tokyo), Ayumi Asai (Kyoto U.), Ryohko Ishikawa (NAOJ), Masayoshi Nobukawa (Nara U. of Education), Hideko Nomura (NAOJ), Kosuke Sato (Saitama U.), Hisanori Furusawa (NAOJ), Mami Machida (Kyushu U.), Sachiko Okumura (Japan Women's U.) · 2026

The female ratio in science field, including astronomy, is still quite low in Japan. We, the Astronomical Society of Japan, are making efforts to equalise the gender balance. In this paper, we summari…

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Physics Preprint PDF DOI

Multimessenger probes of Axions from Compact Objects

Alessandro Lella · 2026

Astrophysics plays a pivotal role in the quest for axions and axion-like particles, offering guidance to experimental efforts and enabling the investigation of axion properties that cannot be probed o…

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AI & Data Science Preprint PDF DOI

Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials

Youqi Yang, Walter Dempsey, Bhramar Mukherjee · 2026

Randomized controlled trials (RCTs) are often underpowered to detect treatment heterogeneity in subgroups defined by cross-classifications of multiple covariates, due to sparse sample sizes in some st…

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AI & Data Science Preprint PDF DOI

Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound

Keli Niu, He Zhao, Qianhui Men · 2026

In low-resource settings, blind-sweep ultrasound provides a practical and accessible method for identifying fetal growth restriction. However, unlike freehand ultrasound which is subjectively controll…

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Computer Science Preprint PDF DOI

Fairness Audits of Institutional Risk Models in Deployed ML Pipelines

Kelly McConvey, Dipto Das, Maya Ghai, Angelina Zhai, Rosa Lee, Shion Guha · 2026

Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Centennial College, whe…

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AI & Data Science Preprint PDF DOI

Attention-ResUNet for Automated Fetal Head Segmentation

Ammar Bhilwarawala, Mainak Bandyopadhyay · 2026

Automated fetal head segmentation in ultrasound images is critical for accurate biometric measurements in prenatal care. While existing deep learning approaches have achieved a reasonable performance,…

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AI & Data Science Preprint PDF DOI

IMA-MoE: An Interpretable Modality-Aware Mixture-of-Experts Framework for Characterizing the Neurobiological Signatures of Binge Eating Disorder

Lin Zhao, Qiaohui Gao, Elizabeth Martin, Kurt P. Schulz, Tom Hildebrandt, Robyn Sysko, Tianming Liu, Xiaobo Li · 2026

Binge eating disorder (BED) is the most prevalent eating disorder. However, current diagnostic frameworks remain largely grounded in symptom-based criteria rather than underlying biological mechanisms…

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AI & Data Science Preprint PDF DOI

PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking

Meng Lv, Yapeng Li, Hang Su, Juhua Liu, Bo Du · 2026

Intelligent fetal ultrasound (US) interpretation is crucial for prenatal diagnosis, but high annotation costs and operator-induced variance make unsupervised pre-training a highly promising paradigm. …

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Mathematics Preprint PDF DOI

High-order kernel regularization of singular and hypersingular Helmholtz boundary integral operators

Luiz M. Faria, Carlos Perez-Arancibia, Svetlana Tlupova · 2026

This paper extends and analyzes the high-order kernel regularization framework of Beale & Tlupova (arXiv:2510.13639) to all four on-surface boundary integral operators of the Helmholtz Calderon calcul…

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Economics & Finance Preprint PDF DOI

Gender, Unpaid Work, and Social Norms in Young Italian Families: Evidence from Couples Time Diaries

C. Monfardini, E. Pisanelli · 2026

Why do large gender inequalities in everyday life persist even as women strengthen their attachment to paid work? Existing evidence shows that women continue to do more unpaid work than men, but much …

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AI & Data Science Preprint PDF DOI

Bias at the End of the Score

Salma Abdel Magid, Grace Guo, Esin Tureci, Amaya Dharmasiri, Vikram V. Ramaswamy, Hanspeter Pfister, Olga Russakovsky · 2026

Reward models (RMs) are inherently non-neutral value functions designed and trained to encode specific objectives, such as human preferences or text-image alignment. RMs have become crucial components…

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