Results 91 to 100 of about 48,002 (260)
Spontaneous baryogenesis from asymmetric inflaton
Physics Letters B, 2016 We propose a variant scenario of spontaneous baryogenesis from asymmetric inflaton based on current–current interactions between the inflaton and matter fields with a non-zero B−L charge.
Fuminobu Takahashi, Masaki Yamada
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Statistics or biology: the zero-inflation controversy about scRNA-seq data. [PDF]
Genome Biol, 2022 Jiang R, Sun T, Song D, Li JJ.
europepmc +1 more source
Zero-inflation in the Multivariate Poisson Lognormal Family
Statistics and ComputingAbstract Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework thatpreserves explainability. The (multivariate) Poisson-Log-Normal (PLN) modelis one such model: it assumes count data are driven by an underlying structuredlatent Gaussian variable, so that the ...
Batardière, Bastien +3 more
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Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Journal of Statistical Software, 2010 Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Hai Liu, Kung-Sik Chan
doaj
Technology Analysis of Extended Reality Using Machine Learning and Statistical Models
Virtual WorldsExtended reality (XR), encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), is a key enabling technology for virtual worlds, and XR-related patents continue to grow rapidly. However, patent-based XR technology analysis faces
Sunghae Jun
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Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models. [PDF]
J Appl Stat, 2023 Altinisik Y.
europepmc +1 more source
Tests for zero-inflation and overdispersion
, 2008 We propose a new methodology to detect zero-inflation and overdispersion based on the comparison of the expected sample extremes among convexly ordered distributions. The method is very flexible and includes tests for the proportion of structural zeros in zero-inflated models, tests to distinguish between two ordered parametric families and a new ...
Baillo, A. +2 more
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Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Frontiers in Public HealthIntroductionClimate change and air pollution are key determinants of public health, particularly in the onset and exacerbation of respiratory diseases.
Shu Wei Chou-Chen +2 more
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