Results 141 to 150 of about 1,671,904 (310)

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

ADA-IRSTD: Active Domain Adaptation for Cross-Domain Infrared Small Target Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) is critical for applications, such as surveillance and counter-uncrewed aerial vehicle early warning. However, existing methods often suffer from limited sample sizes and limited scene diversity, leading to domain ...
Ke Li   +4 more
doaj   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment [PDF]

open access: yes
Unsupervised domain adaptation (UDA) for image classification has made remarkable progress in transferring classification knowledge from a labeled source domain to an unlabeled target domain, thanks to effective domain alignment techniques.
Chakraborty, Shayok   +4 more
core   +1 more source

Domain Adaptation in the Context of Sport Video Action Recognition [PDF]

open access: yes, 2011
We apply domain adaptation to the problem of recognizing common actions between differing court-game sport videos (in particular tennis and badminton games).
de Campos, Teofilo   +4 more
core   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

open access: yesFEBS 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
wiley   +1 more source

A Step-Wise Domain Adaptation Detection Transformer for Object Detection under Poor Visibility Conditions

open access: yesRemote Sensing
To address the performance degradation of cross-domain object detection under various illumination conditions and adverse weather scenarios, this paper introduces a novel method a called Step-wise Domain Adaptation DEtection TRansformer (SDA-DETR).
Gege Zhang, Luping Wang, Zengping Chen
doaj   +1 more source

Rab14 regulates the transport of human papillomavirus to the trans‐Golgi network for infectious cell entry

open access: yesFEBS Letters, EarlyView.
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley   +1 more source

Evaluating the Transferability of Adversarial Robustness to Target Domains

open access: yesKnowledge and Information Systems
Abstract Knowledge transfer is an effective method for learning, particularly useful when labeled data is limited or when training a model from scratch is too expensive. Most of the research on transfer learning focuses on achieving \emph{accurate} models, overlooking the crucial aspect of adversarial robustness. However, ensuring robustness is
Anna-Kathrin Kopetzki   +2 more
openaire   +1 more source

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