First-in-class metal-modulating epigenetic therapy targeting iron-dependent pathways with preclinical efficacy and a ...
The vitality of grassland ecosystems, central to the global carbon cycle and nutrient exchange, is often gauged by their ...
Abstract: With the rapid advancement of model architectures, the accuracy of industrial predictive modeling now largely hinges on data quality. However, real-world industrial datasets frequently ...
Background Socioeconomic exposures related to anaemia in Peruvian children have been modelled assuming additive or log-additive relationships, yet such approaches overlook the fact that illness ...
Abstract: The strict arcsine model of the natural exponential family with cubic variance function is a feasible alternative for statistical analysis of overdispersed count data. Following from this ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The authors reduce uncertainties in TAK-003 vaccine efficacy ...
The goal of neurogam is to provide utilities for estimating the onset and offset of time-resolved effects, such as those found in M/EEG, pupillometry, or finger/mouse-tracking data (amongst others).
Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
School of Artificial Intelligence, Guangxi Minzu University, No. 188, Daxue East Road, Xixiangtang District, Guangxi, Nanning 530006, China Guangxi Key Laboratories of Hybrid Computation and IC Design ...
ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
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