Results 91 to 100 of about 4,627,276 (412)

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

An effective dual encoder network with a feature attention large kernel for building extraction

Geocarto International
Transformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN + Transformer models, limiting performance.
Shaobo Qiu, Jingchun Zhou, Yuan Liu, Xiangrui Meng   +3 more
doaj   +1 more source

Feature Extraction Methods for Electroretinogram Signal Analysis: A Review

IEEE Access, 2021
Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the signal further and compress the signal for storage or transmission purposes.
Soroor Behbahani, Hamid Ahmadieh, Sreeraman Rajan   +2 more
doaj   +1 more source

Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints [PDF]

arXiv, 2023
Extracting fine-grained features such as styles from unlabeled data is crucial for data analysis. Unsupervised methods such as variational autoencoders (VAEs) can extract styles that are usually mixed with other features. Conditional VAEs (CVAEs) can isolate styles using class labels; however, there are no established methods to extract only styles ...
arxiv  

Insights into the renal pathophysiology in Hermansky‐Pudlak syndrome‐1 from urinary extracellular vesicle proteomics and a new mouse model

FEBS Letters, EarlyView.
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard, Bernadette R. Gochuico, Hadass Pri Chen, Christopher K. E. Bleck, Patricia M. Zerfas, Wendy J. Introne, William A. Gahl, May C. V. Malicdan   +7 more
wiley   +1 more source

Triple-Type Feature Extraction for Palmprint Recognition

Sensors, 2021
Palmprint recognition has received tremendous research interests due to its outstanding user-friendliness such as non-invasive and good hygiene properties.
Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei   +5 more
doaj   +1 more source

An Introduction to Feature Extraction [PDF]

, 2008
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews definitions and notations and proposes a unified view of the feature extraction problem. Section 2 is an overview of the methods and results presented in the book, emphasizing novel contributions. Section 3 provides the reader with an
André Elisseeff, Isabelle Guyon
openaire   +2 more sources

Diphthamide synthesis is linked to the eEF2‐client chaperone machinery

FEBS Letters, EarlyView.
The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr, Klaus Mayer, Raffael Schaffrath, Johannes Buchner, Ulrich Brinkmann   +4 more
wiley   +1 more source

Spectral-Spatial Feature Transformations With Controlling Contextual Information Through Smoothing Filtering and Morphological Analysis

International Journal of Information and Communication Technology Research, 2018
A fusion method for spectral-spatial classification of hyperspectral images is proposed in this paper. In the proposed framework, at first, the dimension of hyperspectral image is reduced by several state-of-the-art spectral feature extraction methods, i.
Maryam imani, Hassan Ghassemian
doaj  

Cascading Feature Extraction for Fast Point Cloud Registration [PDF]

arXiv, 2021
We propose a method for speeding up a 3D point cloud registration through a cascading feature extraction. The current approach with the highest accuracy is realized by iteratively executing feature extraction and registration using deep features. However, iterative feature extraction takes time.
arxiv