Results 51 to 60 of about 199,155 (292)

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Fusion Artmap: A Neural Network Architecture for Multi-Channel Data Fusion and Classification [PDF]

, 1993
Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Single-channel Fusion ARTMAP is functionally equivalent to Fuzzy ART during unsupervised learning and to Fuzzy ARTMAP during supervised ...
Asfour, Yousif R., Carpenter, Gail A., Grossberg, Stephen, Lesher, Gregory   +3 more
core   +1 more source

ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]

, 1998
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A., Gaudiano, Paolo, Streilein, William W.   +2 more
core   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Multi-View Task-Driven Recognition in Visual Sensor Networks

, 2017
Nowadays, distributed smart cameras are deployed for a wide set of tasks in several application scenarios, ranging from object recognition, image retrieval, and forensic applications.
Liu, Liu, Qi, Hairong, Rahimpour, Alireza, Taalimi, Ali   +3 more
core   +1 more source

Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data [PDF]

, 2014
This paper proposes a method to combine feature fusion and decision fusion together for multi-sensor data classification. First, morphological features which contain elevation and spatial information, are generated on both LiDAR data and the first few ...
Bellens, Rik, Gautama, Sidharta, Liao, Wenzhi, Philips, Wilfried, Pizurica, Aleksandra   +4 more
core   +2 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

UAV Detection Multi-sensor Data Fusion

Journal of Research in Science and Engineering
In today's world, the ubiquitous presence of unmanned aerial vehicles (UAVs) poses unprecedented challenges, ranging from privacy concerns and security threats to potential safety hazards. Strong and precise drone detection techniques are essential as drones are incorporated into a wider range of sectors.
Chiranjeevi Amit Kumar, Ozkan Giridhar
openaire   +1 more source

FS-DS based Multi-sensor Data Fusion

Journal of Software, 2013
considering the problem of the uncertainty of data in information gathering system, a multi-sensor information fusion method based on fuzzy set and evidence theory (FS-DS) is proposed . The fuzzy support probability of the uncertain information is defined by making using of the correlation function , Then it is received the ...
Shunyuan Sun, Jing Gao, Minfang Chen, Baoguo Xu, Zhiguo Ding   +4 more
openaire   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source