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data science

2,430 papers

#data science Open access Oct 2026

The depth of the shared Kenyon-cell mode determines olfactory learnability: diagnosis and cure of connectome-specific learning in a whole-brain spiking model

Connectome-constrained whole-brain models of Drosophila reproduce sensorimotor responses without per-cell tuning, yet associative learning inside a full spiking recurrent network remains an unsolved benchmark. We show that olfactory learnability is a property not of the rule and not of the neuron, but of the connectome...

Andrey A. Smarygin · 0 citations
#data science Open access Oct 2026

Damage-repair kinetics and phase stiffness in a site-diluted XY model: implications for irradiated superconductors

A computational study of a phenomenological model. No experiment was performed and the model is not calibrated to any conductor. Prepared for submission to Superconductor Science and Technology. A two-dimensional XY lattice of the local superconducting phase, in which sites are damaged (pair breaking) at a rate that ri...

Leon Sandler · 0 citations
#data science Open access Oct 2026

Supplementary materials, data and code for Denominator and Vocabulary Sensitivity in Wetland Bibliographic Trends: An Auditable Agricultural-Hydrology Case Study

This record accompanies the manuscript "Denominator and Vocabulary Sensitivity in Wetland Bibliographic Trends: An Auditable Agricultural-Hydrology Case Study". It contains Supplementary Information (Sections S1-S18), Figures S1-S7 in PNG, PDF and editable SVG formats, and Data and Code S1. The data and code archive pr...

Chuang Du, Yuhe Li, Wenhua Piao et al. · 0 citations
#data science Review Open access Oct 2026

Moxibustion and the gut microbiota–inflammation axis: a systematic review and meta-analysis of clinical and preclinical studies

Background Gut dysbiosis and aberrant inflammatory signaling are increasingly implicated in the pathogenesis of intestinal and extra-intestinal disorders. Moxibustion has been reported to modulate gut microbiota composition and inflammatory responses, but its overall effects remain incompletely characterized. Objective...

Xiaotao Zhang, Yueyue Guo, Lu Chen et al. · 0 citations
#data science Review Open access Oct 2026

Efficacy, safety, and strategy-modifying factors of pulsed field ablation for persistent and long-standing persistent atrial fibrillation: a systematic review and meta-analysis

Background Pulsed field ablation (PFA) is increasingly applied in persistent atrial fibrillation (PerAF) and long-standing persistent atrial fibrillation (LSPAF). Previous reviews of mixed AF populations suggested potential advantages in procedural efficiency and esophageal safety, but PerAF/LSPAF-specific evidence on...

Yuanlin Zhou, Xie Jianhua, Mingliang Fang et al. · 0 citations
#data science Open access Oct 2026

Effectiveness of Silver Diamine Fluoride on Streptococcus mutans and Lactobacillus: A Systematic Review

Objective: This systematic review evaluated the efficacy of silver diamine fluoride (SDF) at various concentrations, follow-up intervals, and in combination with other agents in reducing Streptococcus mutans (S. mutans) and Lactobacillus, as well as comparing its effectiveness with other antimicrobial agents.Material a...

Nur amalina Asmad, Manal Mohamed Almoudi, Siti Hajar Hamzah et al. · 0 citations
#data science Oct 2026

PENGARUH LIKUIDITAS, AKTIVITAS, DAN LEVERAGE TERHADAP NILAI PASAR PADA PERUSAHAAN YANG MENGALAMI BOIKOT

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh likuiditas, aktivitas, dan leverage terhadap nilai pasar yang diproksikan dengan Earnings per Share (EPS). Likuiditas diproksikan dengan Current Ratio (CR), aktivitas diproksikan dengan Fixed Asset Turnover (FAT), sedangkan leverage diproksikan dengan...

SAVIRA DWI MAHARANI, Rika Rahayu · 0 citations
#data science Open access Oct 2026

Open Science Desktop: a local-first, model-agnostic AI research workbench

Install & first launch macOS — Apple Silicon: …_aarch64.dmg · Intel: …_x64.dmg (requires macOS 13+) Developer ID-signed and notarized. Open the DMG and drag Open Science into Applications. When you use an existing project in place, allow access to its folder if macOS asks. Windows — …_x64-setup.exe (start here) · …_x64...

The Open Science Desktop Contributors · 0 citations
#data science Review Open access Oct 2026

The Role of Saliva in Swallowing: A Systematic Review.

The identified evidence suggests that salivary flow and neuropeptides may impact swallowing function, especially sensory function and spontaneous swallowing frequency, however, these relationships were inconsistent.

Jen-Ni Wu, Rebecca Affoo, Danielle Brates et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

Diffusion Flow Matching (DFM) has recently emerged as a versatile framework for generative modeling, yet its theoretical convergence properties remain only partially understood. In this work, we provide refined and novel convergence guarantees for Brownian motion based DFMs, focusing on the discretization error. Our an...

Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus · 0 citations
#machine learning Preprint Open access Oct 2026

Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees

Population-based optimizers combine update rules such as mutation, selection, and recombination. When one rule changes, it is often unclear which convergence guarantees survive or how the new combination should be assessed. We develop an operator calculus: an operator is a population-update rule, and the calculus speci...

Pekka Malo, Lauri Viitasaari, Patrik Nummi et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent

We present the first analytical study of ECD, focusing on the one-dimensional setting for this first installment. We formalize a stochastic ECD dynamics (sECD) with energy-preserving noise, as well as a quantum analog of the ECD Hamiltonian (qECD), providing the foundation for a quantum algorithm through Hamiltonian si...

Yihang Sun, Huaijin Wang, Patrick Hayden et al. · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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