Results 81 to 90 of about 6,001 (210)
Strict System Equivalence of 2D Linear Discrete State Space Models
Journal of Control Science and Engineering, 2012 The connection between the polynomial matrix descriptions (PMDs) of the well-known regular and singular 2D linear discrete state space models is considered.
Mohamed S. Boudellioua
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FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
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Standardised hearing loss risk profiles with state-space models
Mathematics in Medical and Life SciencesHearing loss is a growing public health concern, affecting millions and contributing to impaired communication, social isolation, and reduced quality of life.
M. Campi +4 more
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Forecasting Efficiency between State Space And ARIMA Models with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 This research shows the forecasting using both of ARIMA and state space models. We firstly predict using ARIMA models, then we predict again after using ARIMA state space representation.
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
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Chemical language modeling with structured state space sequence models
Nature CommunicationsGenerative deep learning is reshaping drug design. Chemical language models (CLMs) – which generate molecules in the form of molecular strings – bear particular promise for this endeavor.
Rıza Özçelik +3 more
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Bitemporal Remote Sensing Change Detection With State-Space Models
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingChange detection in very-high-resolution remote sensing images has gained significant attention, particularly with the rise of deep learning techniques such as convolutional neural networks and Transformers.
Lukun Wang +6 more
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FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models
IEEE AccessThe state of health (SOH) of a Li-ion battery is determined by complex interactions among its internal components and external factors. Approaches leveraging deep learning architectures have been proposed to predict the SOH using convolutional networks ...
Jose Ignacio Olalde-Verano +3 more
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