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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang · 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE m…

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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 · 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 tele…

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Computer Science Preprint PDF DOI

From Coalgebraic Determinization to Belief Construction for Partial Observability

Mayuko Kori, Kazuki Watanabe · 2026

The belief construction is a fundamental technique for transforming partially observable systems to fully observable ones while preserving the relevant semantics. It plays a central role in the analys…

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AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju · 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.…

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Mathematics Preprint PDF DOI

Waning Immunity Fails to Restore a Positive Epidemic Threshold on Power-Law Networks

Zihao He, Souvik Dhara, Debankur Mukherjee · 2026

In a seminal work, Chatterjee and Durrett (2009) established that for the SIS epidemic process on random graphs with power-law degree distributions, the infection survives for an exponentially long ti…

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Physics Preprint PDF DOI

The SOXS Spectrograph Instrument Control Software

Davide Ricci, Bernardo Salasnich, Andrea Baruffolo, Jani Achren, Matteo Aliverti, Jose A. Araiza-Duran, Iair Arcavi, Laura Asquini, Federico Battaini, Sagi Ben-Ami, Alex Bichkovsky, Anna Brucalassi, Rachel Bruch, Lorenzo Cabona, Sergio Campana, Giulio Capasso, Enrico Cappellaro, Riccardo Claudi, Mirko Colapietro, Rosario Cosentino, Francesco D'Alessio, Paolo D'Avanzo, Sergio D'Orsi, Massimo Della Valle, Rosario Di Benedetto, Simone Di Filippo, Avishay Gal-Yam, Matteo Genoni, Marcos Hernandez Diaz, Ofir Hershko, Jari Kotilainen, Hanindyo Kuncarayakti, Marco Landoni, Gianluca Li Causi, Laurent Marty, Seppo Mattila, Matteo Munari, Luca Oggioni, Hector Perez Ventura, Giorgio Pariani, Giuliano Pignata, Kalyan Kumar Radhakrishnan Santhakumari, Stephen Smartt, Michael Rappaport, Marco Riva, Adam Rubin, Salvatore Savarese, Pietro Schipani, Salvatore Scuderi, Maximilian Stritzinger, Fabrizio Vitali, David Young, Ricardo Zanmar Sanchez, Gerard Zins · 2026

SOXS (Son Of X-Shooter) is a new spectrograph for the European Southern Observatory (ESO), recently installed at the New Technology Telescope (NTT) at the La Silla Observatory, Chile. The main instrum…

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Computer Science Preprint PDF DOI

Quantifying the Persistence of Daily Routines

Nguyen Luong, Talayeh Aledavood · 2026

Daily life is structured by recurring routines that coordinate biological rhythms with social and occupational demands. Individual differences in work schedules, family obligations, and social commitm…

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AI & Data Science Preprint PDF DOI

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation

Fanjin Meng, Jingtao Ding, Nian Li, Yizhou Sun, Yong Li · 2026

Human daily behavior unfolds as complex sequences shaped by intentions, preferences, and context. Effectively modeling these behaviors is crucial for intelligent systems such as personal assistants an…

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Engineering Preprint PDF DOI

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral, Yury Dvorkin, Dennice Gayme, Bri-Mathias Hodge, Brian Vad Mathiesen, Jakob Stoustrup, Tobias Ritschel, Rune G. Junker, Shahab Tohidi, Razgar Ebrahimy, Henrik Madsen · 2026

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-level flexibility ac…

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AI & Data Science Preprint PDF DOI

Order Dependence in Regression by Composition: Discussion on "Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt

Mei Dong, Linbo Wang, Lin Liu, Oliver Dukes · 2026

We discuss the regression-by-composition framework of Farewell, Daniel, Stensrud and Huitfeldt, highlighting a key consequence of its sequential construction: order dependence. Reordering the flows ma…

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AI & Data Science Preprint PDF DOI

A Parameter-Centric View on Regression

Jingxin Yan, Lin Liu, Oliver Dukes, Qizhai Li, Linbo Wang · 2026

Discussion on ``Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt…

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AI & Data Science Preprint PDF DOI

Toward Variation-Independent Regression by Composition

Ruixuan Zhao, Oliver Dukes, Linbo Wang, Lin Liu · 2026

Discussion on "Regression by Composition" by Farewell, Daniel, Stensrud, and Huitfeldt.…

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AI & Data Science Preprint PDF DOI

Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios

Xiaomin Li, Tala Wang, Zichen Zhong, Ying Zhang, Zirui Zheng, Takashi Isobe, Dezhuang Li, Huchuan Lu, You He, Xu Jia · 2026

Daily scenarios are characterized by visual richness, requiring Multimodal Large Language Models (MLLMs) to filter noise and identify decisive visual clues for accurate reasoning. Yet, current benchma…

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Computer Science Preprint PDF DOI

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine

Unmesh Padalkar · 2026

In daily fantasy sports (DFS), match participation is highly time-sensitive. Users must act within a narrow window before a game begins, making match recommendation a time-critical task to prevent mis…

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AI & Data Science Preprint PDF DOI

An Optimal Sauer Lemma Over $k$-ary Alphabets

Steve Hanneke, Qinglin Meng, Shay Moran, Amirreza Shaeiri · 2026

The Sauer-Shelah-Perles Lemma is a cornerstone of combinatorics and learning theory, bounding the size of a binary hypothesis class in terms of its Vapnik-Chervonenkis (VC) dimension. For classes of f…

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Mathematics Preprint PDF DOI

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems

Haibo Liu, Guang Lin · 2026

Diffusion models have emerged as powerful generative priors for solving PDE-constrained inverse problems. Compared to end-to-end approaches relying on massive paired datasets, explicitly decoupling th…

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Physics Preprint PDF DOI

Daily Predictions of F10.7 and F30 Solar Indices with Deep Learning

Zhenduo Wang, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu, Vasyl Yurchyshyn, Vincent Oria, Khalid A. Alobaid, Xiaoli Bai · 2026

The F10.7 and F30 solar indices are the solar radio fluxes measured at wavelengths of 10.7 cm and 30 cm, respectively, which are key indicators of solar activity. F10.7 is valuable for explaining the …

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Earth & Environmental Sciences Preprint PDF DOI

Global near-real-time daily emissions of atmospheric pollutants from power plants

Tao Li, Lixing Wang, Biqing Zhu, Zhu Liu · 2026

The power sector is a major source of fossil fuel use and air pollutant emissions, making high-spatiotemporal-resolution emission accounting essential for effective mitigation policy and air quality m…

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Physics Preprint PDF DOI

The Wonderful World of Binary Stars

Andrea Barone, Henri M. J. Boffin, Beatrice Caccherano, Simona Di Stefano, Akhila Divakaran, Alexandra S. Murphy, Maria Jose Rain, Elyar Sedaghati, Paul V. Steimle · 2026

During the 2026 ESO La Silla Observing school, about twenty students attended lectures and performed observations to learn various aspects of observational astronomy. The school, which took place duri…

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