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Showing 34746 results for "databases"
Physics Preprint PDF DOI

POP-CORN: Validation of a new coronal hole detection tool based on neural networks

K.H.P. Henadhira Arachchige, B. Perri, A.S. Brun ยท 2026

The properties and spatial distribution of large-scale structures of the solar corona determine the observed solar wind structure at 1 au. Coronal holes are a major source of fast solar wind, an imporโ€ฆ

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Physics Preprint PDF DOI

Sparse M\"untz--Sz\'asz Recovery for Boundary-Anchored Velocity Profiles: A Short-Record Roughness Diagnostic in Turbulence

D Yang Eng ยท 2026

We present a sparse convex-relaxation framework for estimating effective local scaling exponents from short boundary-anchored velocity-increment profiles ($N\approx40$). The detector solves an $\ell_1โ€ฆ

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Computer Science Preprint PDF DOI

Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL

Yue Li, David Mimno, Unso Eun Seo Jo ยท 2026

Translating natural language to SQL for data retrieval has become more accessible thanks to code generation LLMs. But how hard is it to generate SQL code? While databases can become unbounded in complโ€ฆ

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AI & Data Science Preprint PDF DOI

CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild

Alex Hoi Hang Chan, Neha Singhal, Onur Kocahan, Andrea Meltzer, Saverio Lubrano, Miyako H. Warrington, Michel Griesser, Fumihiro Kano, Hemal Naik ยท 2026

Long-term behavioral monitoring of individual animals is crucial for studying behavioral changes that occur over different time scales, especially for conservation and evolutionary biology. Computer vโ€ฆ

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Computer Science Preprint PDF DOI

PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems

Haozhen Wang, Haoyue Liu, Jionghao Zhu, Zhichao Wang, Yongxin Guo, Xiaoying Tang ยท 2026

Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of applications. However, their practical deployment is often hindered by issues such as outdated knowledge anโ€ฆ

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Physics Preprint PDF DOI

Distance estimate to NGC 6951 from supernova siblings Type IIP SN 2020dpw and Type Ib SN 2021sjt

Reka Konyves-Toth, Zsofia Bodola, Tamas Szalai, Moira Andrews, Iair Arcavi, Dominik Banhidi, Imre Barna Biro, Federica Bianco, Jamison Burke, Istvan Csanyi, Benjamin Dilday, Joseph R. Farah, Estefania Padilla Gonzalez, Daichi Hiramatsu, D. Andrew Howell, Levente Kriskovics, Megan Newsome, Yuan Qi Ni, Curtis McCully, Andras Ordasi, Andras Pal, Craig Pellegrino, Robert Szakats, Giacomo Terreran, Stefano Valenti, Krisztian Vida, Kathryn Wynn ยท 2026

{Supernova (SN) siblings are powerful tools used to calibrate and improve distance measurement methods, and to make the systematic uncertainty to distances to their host galaxies considerably lower coโ€ฆ

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AI & Data Science Preprint PDF DOI

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization

Pengyue Jia, Derong Xu, Yingyi Zhang, Xiaopeng Li, Wenlin Zhang, Yi Wen, Yuanshao Zhu, Xiangyu Zhao ยท 2026

Worldwide image geolocalization aims to predict precise GPS coordinates for images captured anywhere on Earth, which is challenging due to the large visual and geographic diversity. Recent methods maiโ€ฆ

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AI & Data Science Preprint PDF DOI

Mortality Forecasting as a Flow Field in Tucker Decomposition Space

Samuel J. Clark ยท 2026

Mortality forecasting methods in the Lee-Carter tradition extrapolate temporal components via time-series models, often producing forecasts that systematically underpredict life expectancy at long horโ€ฆ

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Physics Preprint PDF DOI

Core-Collapse Supernovae and their Gravitational Wave Signals: The Status of Theory and Modeling

Bernhard Muller (Monash University) ยท 2026

The detection of gravitational waves from a core-collapse supernova in the Milky Way or its vicinity represents a unique opportunity to probe the inner workings of these explosions. In this review, I โ€ฆ

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AI & Data Science Preprint PDF DOI

Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale

Chinmay Soni, Shivam Chourasia, Gaurav Kumar, Hitesh Kapoor ยท 2026

Applying large, proprietary API-based language models to text-to-SQL tasks poses a significant industry challenge: reliance on massive, schema-heavy prompts results in prohibitive per-token API costs โ€ฆ

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Computer Science Preprint PDF DOI

Supermassive Blockchain

Guangda Sun, Jialin Li ยท 2026

Storage scalability is paramount in the era of big data blockchain. A storage-scalable blockchain can effectively scale out state storage to an arbitrary number of nodes and reduce the storage pressurโ€ฆ

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AI & Data Science Preprint PDF DOI

AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents

Zhixuan Bao, Zhuoyi Lin, Jiageng Wang, Jinhai Hu, Yuan Gao, Yaoxin Wu, Xiaoli Li, Xun Xu ยท 2026

Recent advances in large language models (LLMs) suggest strong potential for automating analog circuit design. Yet most LLM-based approaches rely on a single-model loop of generation, diagnosis, and cโ€ฆ

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Computer Science Preprint PDF DOI

An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]

Duo Lu, Helena Caminal, Manos Chatzakis, Yannis Papakonstantinou, Yannis Chronis, Vaibhav Jain, Fatma Ozcan ยท 2026

Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in modern database systems. However, existing research most often evaluates algorithms in specialized libโ€ฆ

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Physics Preprint PDF DOI

Active learning-enabled multi-objective design of thermally conductive and mechanically compliant polymers

Yuhan Liu, Jiaxin Xu, Renzheng Zhang, Meng Jiang, Tengfei Luo ยท 2026

Polymers are attractive in applications like flexible electronics and thermal interface materials due to their mechanical compliance and processability. However, conventional polymers have low thermalโ€ฆ

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Computer Science Preprint PDF DOI

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions

Samya Acharja, Kanchan Chowdhury ยท 2026

The task of building a natural language interface to a database, known as NLIDB, has recently gained significant attention from both the database and Natural Language Processing (NLP) communities. Witโ€ฆ

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Physics Preprint PDF DOI

AlphaDiffract: Automated Crystallographic Analysis of Powder X-ray Diffraction Data

Nina Andrejevic, Ming Du, Hemant Sharma, James P. Horwath, Aileen Luo, Xiangyu Yin, Michael Prince, Brian H. Toby, Mathew J. Cherukara ยท 2026

Materials identification and structural understanding from powder X-ray diffraction (PXRD) data is a long-standing challenge in materials science, fundamental to discovering and characterizing novel mโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings

Josef Hanke, Sebastian Pujalte Ojeda, Shengyu Zhang, Werngard Czechtizky, Leonardo De Maria, Michele Vendruscolo ยท 2026

The accurate prediction of protein-RNA binding affinity remains an unsolved problem in structural biology, limiting opportunities in understanding gene regulation and designing RNA-targeting therapeutโ€ฆ

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Physics Preprint PDF DOI

Virtual materials testing of ASSB cathodes combining AI-based stochastic 3D modeling and numerical simulations

Anina Dufter, Sabrina Weber, Orkun Furat, Johannes Schubert, Rene Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Anja Bielefeld, Volker Schmidt ยท 2026

The performance of all-solid-state battery (ASSB) cathodes strongly depends on their microstructure. Optimizing the cathode morphology can therefore enhance effective macroscopic properties such as ioโ€ฆ

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Computer Science Preprint PDF DOI

Gyokuro: Source-assisted Private Membership Testing using Trusted Execution Environments

Yoshimichi Nakatsuka, Nicolas Dutly, Kari Kostiainen, Srdjan Capkun ยท 2026

Private Membership Testing (PMT) protocols enable clients to verify whether a certain data item is included in a database without revealing the item to the database operator or other external parties.โ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

The NCS-Model: A seismic foundation model trained on the Norwegian repository of public data

Alba Ordonez, Theodor Johannes Line Forgaard, David Wade, Aina Juell Bugge, Hakon Nese, Anders Ueland Waldeland ยท 2026

We present the NCS-models, a family of seismic foundation models pretrained on a large share of full-stack seismic cubes from the Norwegian Continental Shelf (NCS) available through the public DISKOS โ€ฆ

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