Results 81 to 90 of about 1,395,579 (341)

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data

Drones
Monitoring dust on plant canopies around open-pit coal mines is crucial to assessing environmental pollution and developing effective dust suppression strategies.
Yibo Zhao, Shaogang Lei, Xiaotong Han, Yufan Xu, Jianzhu Li, Yating Duan, Shengya Sun   +6 more
doaj   +1 more source

Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory

Sensors, 2019
Information entropy and interclass separability are adopted as the evaluation criteria of dimension reduction for hyperspectral remote sensor data. However, it is rather single-faceted to simply use either information entropy or interclass separability ...
Hongmin Gao, Yao Yang, Xiaoke Zhang, Chenming Li, Qi Yang, Yongchang Wang   +5 more
doaj   +1 more source

A weak lensing analysis of the Abell 383 cluster

, 2011
In this paper we use deep CFHT and SUBARU $uBVRIz$ archival images of the Abell 383 cluster (z=0.187) to estimate its mass by weak lensing. To this end, we first use simulated images to check the accuracy provided by our KSB pipeline.
A. Grado, A. Romano, Abell, Bardeau, Bardeau, Bartelmann, Broadhurst, Bullock, Capaccioli, Capak, Clowe, E. Puddu, Ebeling, Erben, Fahlman, Feldmann, Fetisova, Heymans, Hoekstra, Hoekstra, Hoekstra, Hoekstra, L. Fu, L. Limatola, Luppino, M. Radovich, Massey, Medezinski, Miyazaki, Oguri, Okabe, Pickles, Popesso, Radovich, Rizza, Romano, Schechter, Schirmer, Schlegel, Schmidt, Schrabback, Smith, Wood, Wright, Z. Huang   +44 more
core   +1 more source

Problem-based band selection for hyperspectral images [PDF]

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This paper addresses the band selection of a hyperspectral image. Considering a binary classification, we devise a method to choose the more discriminating bands for the separation of the two classes involved, by using a simple algorithm: single-layer neural network. After that, the most discriminative bands are selected, and the resulting reduced data
Habermann, Mateus, Frémont, Vincent, Shiguemori, Elcio   +2 more
openaire   +2 more sources

Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells

Molecular Oncology, EarlyView.
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller, Susanne Ebner, Carmen Haselrieder, Julia K. Günther, Astrid Drasche, Sophie Strich, Chiara Volani, Andrea Medici, Aleksandar Nikolajevic, Alex Deltedesco, Johannes E. Sigmund, Michael J. Blumer, Martin Hermann, Johanna Vanacker, Gerald Brandacher, Eduard Stefan, Omar Torres‐Quesada, Jakob Troppmair   +17 more
wiley   +1 more source

Satellite-Based Machine Learning for Temporal Assessment of Water Quality Parameter Prediction in a Coastal Shallow Lake

Journal of Marine Science and Engineering
Satellite remote sensing increasingly supports water quality monitoring, yet the temporal transferability of machine learning (ML) models remains insufficiently tested, particularly in coastal shallow lakes subject to hydrological variability. This study
Anja Batina, Ljiljana Šerić, Andrija Krtalić, Ante Šiljeg   +3 more
doaj   +1 more source

Band Ranking via Extended Coefficient of Variation for Hyperspectral Band Selection

Remote Sensing, 2020
Hundreds of narrow bands over a continuous spectral range make hyperspectral imagery rich in information about objects, while at the same time causing the neighboring bands to be highly correlated.
Peifeng Su, Sasu Tarkoma, Petri K. E. Pellikka   +2 more
doaj   +1 more source

Boston University Symphonic Band, 1964 [PDF]

, 1964
This is the concert program of the Boston University Symphonic Band performance, 1964 Tour. Works performed were Symphonie for Band by Louis E. Jadin, Jesu, Joy of Man's Desiring from "Cantat 147" by Johann Sebastian Bach, Symphony in B-flat by Paul ...
School of Music, Boston University
core  

Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification [PDF]

, 2022
Mateus Habermann, Elcio Hideiti Shiguemori, Vincent Frémont   +2 more
openalex   +1 more source