Results 91 to 100 of about 7,122,625 (292)

Lipopolysaccharide uptake is augmented in lipopolysaccharide‐tolerant mouse macrophage‐like cells via increased CD14 expression

FEBS Open Bio, EarlyView.
In normal (nontolerant) cells, CD14 is crucial for both LPS uptake and LPS signaling. In LPS‐tolerant cells, in which LPS‐induced TNF‐α and IFN‐β production is suppressed, there is a dramatic increase in surface CD14 expression. The overexpressed CD14 in LPS‐tolerant cells is responsible for the enhanced LPS uptake without inducing pro‐inflammatory ...
Saeka Nishihara, Takayuki Manabe, Mika Jouta, Kiyoshi Kawasaki   +3 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

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

FEBS 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, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

On the application of image augmentation for plant disease detection: A systematic literature review

Smart Agricultural Technology
Agriculture significantly influences the global economy, especially in developing countries, but plant diseases can drastically reduce crop yields and economic gains if not detected early.
Kwame Antwi, Kwabena Ebo Bennin, Derek Kwaku Pobi Asiedu, Bedir Tekinerdogan   +3 more
doaj   +1 more source

Adaptive data augmentation for image classification [PDF]

2016 IEEE International Conference on Image Processing (ICIP), 2016
Data augmentation is the process of generating samples by transforming training data, with the target of improving the accuracy and robustness of classifiers. In this paper, we propose a new automatic and adaptive algorithm for choosing the transformations of the samples used in data augmentation. Specifically, for each sample, our main idea is to seek
Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard   +3 more
openaire   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

An improved hide-and-seek augmentation technique for image classification using convolutional neural networks

Journal of Electrical Systems and Information Technology
In various machine learning tasks, including image classification, data augmentation is widely used to expand the training dataset and prevent overfitting.
Wisdom Nagaye, Yaw Afriyie, Sulemana Bankuoru Egala   +2 more
doaj   +1 more source

Sign Language Detection Models using Resnet-34 and Augmentation Techniques

International Journal of Applied Sciences and Smart Technologies
For deaf or hard of hearing people, sign language is a primary means of communication, but low public understanding makes social engagement difficult. Researchers now use computer vision technology and Convolutional Neural Network (CNN) to detect sign ...
Rizki Ramdhan Hilal, Aradea Aradea, Vega Purwayoga   +2 more
doaj   +1 more source

Augmented Reality: Advances in Diagnostic Imaging [PDF]

Multimodal Technologies and Interaction, 2017
In recent years, advances in medical imaging have provided opportunities for enhanced diagnosis and characterization of diseases including cancer. The improved spatial resolution provides outstanding detail of intricate anatomical structures, but has challenged physicians on how to effectively and efficiently review the extremely large datasets of over
David Douglas, Clifford Wilke, J. Gibson, John M. Boone, Max Wintermark   +4 more
openaire   +2 more sources