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Showing 34181 results for "catherine hurley"
AI & Data Science Preprint PDF DOI

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu, Owen Jiang, Yilun Zhao, Tiansheng Hu, Yiling Ma, Kaiyan Zhang, Manasi Patwardhan, Arman Cohan ยท 2026

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated meโ€ฆ

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Physics Preprint PDF DOI

The Large Array Survey Telescope-Pipeline. II. Image Subtraction and Transient Detection

R. Konno, E. O. Ofek, A. Krassilchtchikov, Y. Shvartzvald, S. Ben-Ami, D. Polishook, C. Tishler, E. Segre, S. Garrappa, E. A. Zimmermann, A. Horowicz, P. Chen, A. Gal-Yam, M. Engel, Y. M. Shani, S. A. Spitzer, S. Fainer, O. Yaron, A. Blumenzweig ยท 2026

Context. The Large Array Survey Telescope (LAST) is a wide-field visual-band survey designed to explore the variable and transient sky with high cadence. Its raw data stream is automatically processedโ€ฆ

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AI & Data Science Preprint PDF DOI

Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia

Wei Zhou, Rashina Hoda, Joycelyn Ling ยท 2026

AI applications are increasingly being introduced into digital health. While technical performance has advanced rapidly, successful deployment mainly depends on consumer attitudes, especially to patieโ€ฆ

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Sociology & Anthropology Preprint PDF DOI

Crowd Dynamics in Historical Perspective: Reframing the Amritsar Massacre through Agent-Based Modelling and Social Psychology

Mohcine Chraibi, Krisztina Konya, Ezel Usten ยท 2026

Crowds have long held a paradoxical place in the human imagination, feared for their destructive potential yet essential for collective expression. This tension was tragically manifested in the 1919 Jโ€ฆ

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Engineering Preprint PDF DOI

Robot Learning from Human Videos: A Survey

Junyi Ma, Erhang Zhang, Haoran Yang, Ditao Li, Chenyang Xu, Guangming Wang, Hesheng Wang ยท 2026

A critical bottleneck hindering further advancement in embodied AI and robotics is the challenge of scaling robot data. To address this, the field of learning robot manipulation skills from human videโ€ฆ

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Physics Preprint PDF DOI

Foreground Mitigation and Power Spectrum Analysis for Tianlai Full-Sky 21 cm Survey Observation

Yikai Deng, Shifan Zuo, Jixia Li, Yougang Wang, Xuelei Chen ยท 2026

We present a comprehensive analysis of the 21 cm intensity mapping (IM) data from the Tianlai Cylinder Pathfinder Array (TCPA), focusing on multi-scale foreground mitigation and three-dimensional poweโ€ฆ

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Computer Science Preprint PDF DOI

Accent Conversion: A Problem-Driven Survey of Sociolinguistic and Technical Constraints

Yurii Halychanskyi, Jianfeng Steven Guo, Volodymyr Kindratenko ยท 2026

Accent conversion has rapidly progressed alongside growing interest in improving global cross-cultural communication. This survey presents an overview of the evolution of accent conversion methodologiโ€ฆ

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Economics & Finance Preprint PDF DOI

Fast-Vollib: A Fast Implied Volatility Library for Pythonwith PyTorch, JAX, and CUDA Fused-Kernel Backends

Raeid Saqur ยท 2026

We present fast-vollib, an open-source Python library that provides high-performance European option pricing, implied volatility (IV) computation, and Greeks under the Black-76, Black-Scholes, and Blaโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

The effect of spectral resolution on biosignature detection via reflected light observations of the Earth through time

Samantha Gilbert-Janizek, Jacob Lustig-Yaeger, Joshua Krissansen-Totton ยท 2026

NASA's Habitable Worlds Observatory (HWO) will search for biosignatures on Earth-like exoplanets using reflected light spectroscopy. A critical instrument design parameter is resolving power, which muโ€ฆ

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AI & Data Science Preprint PDF DOI

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

Taida Li, Yujun Yan, Fei Dou, Wenzhan Song, Xiang Zhang ยท 2026

Deep learning for cross-subject EEG decoding is hindered by high inter-subject variability, which introduces a severe domain shift between training and unseen test subjects. This survey presents a comโ€ฆ

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Computer Science Preprint PDF DOI

On (In)approximability of MaxMin Independent Set Reconfiguration

Hung P. Hoang, Naoto Ohsaka, Rin Saito, Yuma Tamura ยท 2026

In the Independent Set Reconfiguration problem under the Token Addition/Removal rule, given a graph $G$ and two independent sets $I$ and $J$ of $G$, we want to transform $I$ into $J$ by adding and remโ€ฆ

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Mathematics Preprint PDF DOI

Lagrangian reduction of symmetric discrete mechanical systems: a survey

Matias I. Caruso, Javier Fernandez, Cora Tori, Marcela Zuccalli ยท 2026

In this note we survey some of our results on the Lagrangian reduction of discrete-time mechanical systems (DMSs). It is intended as an introduction to the general ideas that we used in the reduction โ€ฆ

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AI & Data Science Preprint PDF DOI

Electricity price forecasting across Norway's five bidding zones in the post-crisis era

My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha, Dat Thanh Nguyen ยท 2026

Norway's electricity market is heavily dominated by hydropower, but the 2021--2022 energy crisis and stronger integration with Continental Europe have fundamentally altered price formation, reducing tโ€ฆ

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Engineering Preprint PDF DOI

3D Generation for Embodied AI and Robotic Simulation: A Survey

Tianwei Ye, Yifan Mao, Minwen Liao, Jian Liu, Chunchao Guo, Dazhao Du, Quanxin Shou, Fangqi Zhu, Song Guo ยท 2026

Embodied AI and robotic systems increasingly depend on scalable, diverse, and physically grounded 3D content for simulation-based training and real-world deployment. While 3D generative modeling has aโ€ฆ

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Sociology & Anthropology Preprint PDF DOI

Digital Epidemiology with Awareness-Based Event-Triggered Migration in Networked Cyber-Physical Systems

Yusheng Li, Minyu Feng, Liang-jian Deng, Matjaz Perc, Jurgen Kurths ยท 2026

Understanding how human mobility and information propagation influence the course of an epidemic remains a key challenge in digital epidemiology. In this work, we develop a new awareness-based, event-โ€ฆ

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Computer Science Preprint PDF DOI

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches

Michael Wienczkowski ยท 2026

Modern software systems are increasingly developed within rapid continuous integration and deployment (CI/CD) pipelines, where ensuring security prior to release presents significant technical and orgโ€ฆ

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Mathematics Preprint PDF DOI

Counterexamples to an Extremal Conjecture for Random Cycle-Factors

Rishikesh Gajjala ยท 2026

Christoph, Dragani\'{c}, Gir\~{a}o, Hurley, Michel, and M\"{u}yesser conjectured that, when $d\mid n$, the expected number of cycles in a uniformly random cycle-factor of a directed $d$-regular graph โ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Euclid: Asteroid rotation periods from the Euclid Ecliptic Survey

B. Y. Irureta-Goyena, B. Altieri, J.-P. Kneib, M. Pontinen, O. R. Hainaut, M. R. Alarcon, M. Granvik, A. A. Nucita, B. Carry, M. Devogele, M. Mahlke, R. Vavrek, T. Muller, E. Vilenius, C. Snodgrass, R. Kohley, C. Lemon, P. Gomez-Alvarez, G. Verdoes Kleijn, J. Licandro, S. Kruk, L. Conversi, A. Franco, G. Buenadicha, P. Mas-Buitrago, K. Kuijken, S. Andreon, C. Baccigalupi, M. Baldi, A. Balestra, P. Battaglia, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, J. Carretero, R. Casas, M. Castellano, G. Castignani, S. Cavuoti, K. C. Chambers, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, Y. Copin, F. Courbin, H. M. Courtois, M. Cropper, H. Degaudenzi, G. De Lucia, C. Dolding, H. Dole, F. Dubath, X. Dupac, M. Farina, R. Farinelli, S. Ferriol, M. Frailis, M. Fumana, S. Galeotta, K. George, B. Gillis, C. Giocoli, J. Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, H. Hoekstra, W. Holmes, I. M. Hook, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, A. Kiessling, B. Kubik, M. Kummel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, O. Mansutti, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey, E. Medinaceli, S. Mei, E. Merlin, G. Meylan, A. Mora, L. Moscardini, R. Nakajima, C. Neissner, S.-M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, G. Polenta, L. A. Popa, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, Z. Sakr, D. Sapone, M. Schirmer, P. Schneider, A. Secroun, E. Sihvola, P. Simon, C. Sirignano, G. Sirri, L. Stanco, P. Tallada-Crespi, I. Tereno, S. Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, J. Valiviita, T. Vassallo, Y. Wang, J. Weller, F. M. Zerbi, J. Garcia-Bellido, J. Martin-Fleitas, V. Scottez, G. Helou, D. Scott ยท 2026

The Euclid Ecliptic Survey was conducted during the calibration phase of the mission, 23-31 December 2023, as a campaign to study Solar System objects. We used data from this survey to analyse more thโ€ฆ

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Physics Preprint PDF DOI

The PHANGS-H{\alpha} survey. Ground-based narrow-band imaging of nearby star-forming galaxies

Alessandro Razza, Guillermo A. Blanc, Brent Groves, Enrico Congiu, Justus Neumann, Hsi-An Pan, I-Ting Ho, Ashley T. Barnes, Francesco Belfiore, Mederic Boquien, Charlie Burton, Melanie Chevance, Oleg Egorov, Eric Emsellem, Chris Faesi, Simon C. O. Glover, Kathryn Grasha, Ralf S. Klessen, Kathryn Kreckel, Adam K. Leroy, Rebecca McElroy, Ismael Pessa, Eva Schinnerer, Neven Tomicic, Amirnezam Amiri, Gagandeep S. Anand, Yixian Cao, Daniel A. Dale, Simthembile Dlamini, Jing Li, J. Eduardo Mendez-Delgado, Eric J. Murphy, Debosmita Pathak, Miguel Querejeta, Lise Ramambason, Erik Rosolowsky, Fabian Scheuermann, Leonardo Ubeda, Thomas G. Williams ยท 2026

We present PHANGS-H{\alpha}, a narrow-band imaging survey that maps H{\alpha} emission over a sample of 65 nearby massive star-forming galaxies. The data were obtained using the MPG-ESO 2.2-meter teleโ€ฆ

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AI & Data Science Preprint PDF DOI

Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights

Siu-Ming Tam ยท 2026

Tam [2026] shows that combining Bethel multivariate allocation with Hierarchical Bayes (HB) small area models can substantially reduce survey sample sizes while maintaining domain-level precision and โ€ฆ

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