Results 171 to 180 of about 19,585 (258)

Metagenomic mining of environmental resistomes: Comparative performance of deep learning and alignment‐based annotation methods

iMetaOmics, EarlyView.
Antimicrobial resistance (AMR) in marine environments poses intricate challenges due to the ecological complexity of microbial communities and environmental gradients. This study compares various antimicrobial resistance gene (ARG) annotation tools and databases, focusing on deep learning approaches versus traditional alignment‐based methods, to ...
Joeselle M. Serrana, Francisco J. A. Nascimento, Malte Posselt   +2 more
wiley   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

InfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li, Guobin Zhang, Zhihao Gong, Zijian Wang, Xuemeng Fan, Qi Luo, Zhejia Zhang, Dawei Gao, Mingkun Xu, Hua Wang, Shuai Zhong, Qing Wan, Yishu Zhang   +12 more
wiley   +1 more source

Analytical expectations for ancestry junction accumulation in admixed genomes. [PDF]

Genetics
Nataneli S, Karatas AL, Ferrari T, Patel RA, Mooney JA.   +4 more
europepmc   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

Fast gradient-free optimization of excitations in variational quantum eigensolvers. [PDF]

Commun Phys
Jäger J, Kaldenbach TN, Haas M, Schultheis E.   +3 more
europepmc   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

Journal of Applied Econometrics, EarlyView.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

Toward LLM-aware software effort estimation: a conceptual framework. [PDF]

Front Artif Intell
Alaswad F, Poovammal E, Aljaddouh B.
europepmc   +1 more source

Robustness of Spontaneous Polarization Through Nonlinear Directional Antagonism Without Global Inhibition

Journal of the Chinese Chemical Society, EarlyView.
The conventional “local activation–global inhibition” (LAGI) models utilize mean‐field averaging inhibition to suppress distant activations. As the inhibition diminishes with distance, LAGI models struggle to achieve robust single‐axis polarity in large systems.
Chin‐Lin Guo, Chiao‐Yu Tseng
wiley   +1 more source

QSyncFold: quantum neural network for multidimensional sync-discovery in protein folding. [PDF]

Brief Bioinform
Shi J, Du P, Zeng W, Wang W, Peng S, Li X.   +5 more
europepmc   +1 more source

A Power‐Efficient Monte Carlo Framework for Nonlinear Light–Matter Interactions: In Silico Modeling of Spontaneous and Stimulated Raman Scattering in Turbid Media

Journal of Raman Spectroscopy, EarlyView.
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko, Vladislav Yakovlev, Alexander Doronin   +2 more
wiley   +1 more source