Results 111 to 120 of about 3,487,202 (255)

Tailored Scalable Dimensionality Reduction

open access: yes, 2018
Although there is a rich literature on scalable methods for dimensionality reduction, the focus has been on widely applicable approaches which, in certain applications, are far from optimal or not even applicable.
van den Boom, Willem
core   +1 more source

Transferred Dimensionality Reduction

open access: yes, 2008
Dimensionality reduction is one of the widely used techniques for data analysis. However, it is often hard to get a demanded low-dimensional representation with only the unlabeled data, especially for the discriminative task.
Zhang, Changshui   +2 more
core  

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

open access: yesFEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão   +3 more
wiley   +1 more source

TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I

open access: yesSpace Weather
Physics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades.
Piyush M. Mehta, Richard J. Licata
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface

open access: yesFEBS Open Bio, EarlyView.
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana   +5 more
wiley   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

SuperTac - tactile data super-resolution via dimensionality reduction

open access: yesFrontiers in Robotics and AI
The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors.
Neel Patel   +3 more
doaj   +1 more source

Dimensionality Reduction using Relative Attributes [PDF]

open access: yes, 2014
Visual attributes are high-level semantic description of visual data that are close to the language of human. They have been intensively used in various applications such as image classification, active learning, and interactive search.
Tsoukalas, Stefanos   +4 more
core  

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