Results 51 to 60 of about 26,343 (300)

Deep Learning for Chlorophyll-a Concentration Retrieval: A Case Study for the Pearl River Estuary

Remote Sensing, 2021
The abundance of phytoplankton is generally estimated by measuring the chlorophyll-a concentration (Cchla), which is an important factor in photosynthesis and can be used to analyze the density and biomass of phytoplankton in the ecosystem.
Haibin Ye, Shilin Tang, Chaoyu Yang
doaj   +1 more source

The inner regions of protoplanetary disks

, 2010
To understand how planetary systems form in the dusty disks around pre-main-sequence stars a detailed knowledge of the structure and evolution of these disks is required. While this is reasonably well understood for the regions of the disk beyond about 1
C.P. Dullemond, Henning Th, J.D. Monnier, Mihalas D, Reipurth B, Rybicki GB   +5 more
core   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

Molecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski, Sławomir Lasota, Ewelina Madej, Anna A. Brożyna, Małgorzata Szczygieł, Agnieszka Harazin‐Lechowska, Jan Czerbniak, Janusz Rys, Jaroslaw Czyz, Agnieszka Wolnicka‐Glubisz   +9 more
wiley   +1 more source

Monitoring Optical Variability in Complex Inland Waters Using Satellite Remote Sensing Data

Remote Sensing, 2022
Optical classification for water bodies was carried out based on satellite remote sensing data, which avoided the limitation of having a limited amount of in situ measured spectral data. Unsupervised cluster analysis was performed on 53,815 reflectance spectra extracted at 500-m intervals based on the same season or quasi-same season Landsat 8 SR data ...
Yunxia Du, Kaishan Song, Ge Liu
openaire   +2 more sources

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Use of an ROV with Modulated Lighting for Diagnosing the Technical Condition of Submerged Port Wharf Structures [PDF]

TransNav
The technical condition of underwater port structures is critical to the safety and longevity of maritime infrastructure. Traditional inspection techniques, such as diver-assisted surveys, are constrained by safety risks, limited duration, and reduced ...
Adam Kaizer, Barbara Lednicka, Agnieszka Tessmer, Wlodzimierz Freda, Joanna Soszynska-Budny, Ewelina Ziajka   +5 more
doaj   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

A Statistical Algorithm for Estimating Chlorophyll Concentration in the New Caledonian Lagoon

Remote Sensing, 2016
Spatial and temporal dynamics of phytoplankton biomass and water turbidity can provide crucial information about the function, health and vulnerability of lagoon ecosystems (coral reefs, sea grasses, etc.). A statistical algorithm is proposed to estimate
Guillaume Wattelez, Cécile Dupouy, Morgan Mangeas, Jérôme Lefèvre, Touraivane, Robert Frouin   +5 more
doaj   +1 more source

LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools

Remote Sensing, 2023
Remote-sensing data are used extensively to monitor water quality parameters such as clarity, temperature, and chlorophyll-a (chl-a) content. This is generally achieved by collecting in situ data coincident with satellite data collections and then ...
Anna Catherine Cardall, Riley Chad Hales, Kaylee Brooke Tanner, Gustavious Paul Williams, Kel N. Markert   +4 more
doaj   +1 more source

Observational diagnostics of gas in protoplanetary disks

, 2009
Protoplanetary disks are composed primarily of gas (99% of the mass). Nevertheless, relatively few observational constraints exist for the gas in disks. In this review, I discuss several observational diagnostics in the UV, optical, near-IR, mid-IR, and (
A. Carmona, A. Carmona, A. Carmona, A. Carmona, A. Dutrey, A. Dutrey, A. Dutrey, A. Lecavelierdes Etangs, A. Lecavelierdes Etangs, A. Natta, A. Natta, A. Roberge, A. Roberge, A. Sicilia-Aguilar, A.E. Glassgold, A.M. Mandell, Andrés Carmona, B. Acke, B. Acke, C. Espaillat, C. Martin, C. Martin-Zaïdi, C. Martin-Zaïdi, C. Martin-Zaïdi, C. Martin-Zaïdi, C. Salyk, C. Salyk, C.A. Grady, C.J. Chandler, D. Hollenbach, D. Hollenbach, D.A. Weintraub, D.A. Weintraub, D.R. Ardila, D.W. Koerner, E. Bergin, E. Tatulli, E. Wilkinson, E.A. Bergin, E.I. Chiang, E.L. Gibb, E.L. Gibb, F. Lahuis, F. Lahuis, F.M. Walter, G. Meeus, G. Plas van der, G. Plas van der, G.A. Blake, G.J. Herczeg, G.J. Herczeg, G.J. Herczeg, G.J. Herczeg, G.J. Herczeg, G.W. Doppmann, H. Nomura, H. Nomura, H.J. Langevelde van, I Pascucci, I. Pascucci, I. Pascucci, I. Sheret, J. Muzerolle, J. Muzerolle, J. Muzerolle, J. Najita, J. Najita, J. Najita, J.-C. Bouret, J.A. Valenti, J.E. Gizis, J.M. Brown, J.R. Najita, J.R. Najita, J.R. Najita, J.S. Bary, J.S. Bary, J.S. Bary, J.S. Carr, J.S. Carr, J.S. Carr, J.S. Carr, J.S. Carr, J.S. Carr, K. France, K.E. Haisch Jr., K.M. Pontoppidan, L. Errico, L. Hartmann, L.A. Cieza, M. Goto, M. Gustafsson, M.A. Bitner, M.E. Ancker van den, M.F. Skrutskie, M.G. Berthoud, M.J. Richter, N. Calvet, N. Scoville, R Boekel van, R. Meijerink, R.D. Alexander, R.L. Akeson, R.L. Akeson, S. Beckwith, S. Brittain, S. Guilloteau, S. Guilloteau, S. Sako, S.D. Brittain, S.D. Brittain, S.D. Brittain, S.D. Brittain, S.J. Shukla, S.K. Ramsay Howat, S.M. Andrews, S.V.W. Beckwith, T.L. Beck, T.R. Geballe, T.W. Rettig, T.W. Rettig, U. Gorti, V. Mannings, V. Piétu, W.-F. Thi, W.-F. Thi, W.-F. Thi, W.F. Thi, W.R.F. Dent, Y. Itoh   +129 more
core   +2 more sources