نتایج جستجو برای: mss bands

تعداد نتایج: 50789  

Journal: :Journal of biophotonics 2016
Jongsik Kim Adeel Ahmad Joanne Li Marina Marjanovic Eric J Chaney Kenneth S Suslick Stephen A Boppart

We report the development of an intravascular magnetomotive optical coherence tomography (IV-MM-OCT) system used with targeted protein microspheres to detect early-stage atherosclerotic fatty streaks/plaques. Magnetic microspheres (MSs) were injected in vivo in rabbits, and after 30 minutes of in vivo circulation, excised ex vivo rabbit aorta samples specimens were then imaged ex vivo with our ...

Journal: :Transactions of the Botanical Society of Edinburgh 1870

Journal: :Tópicos de investigación en ciencias de la tierra y materiales 2022

Esta sección del Catálogo de Referencia Museo Mineralogía la UAEH contiene 16 fichas minerales grupos las sulfosales. Los códigos clasificación van MSS-01 al MSS-16.

2013
D. F. Lozano-Garcia Roger M. Hoffer

Most techniques for computer classification of multispectral scanner data involve a "single-stage" approach in which every pixel in the data is classified in a single step, using a single set of training statistics and a single set of wave length bands. Hierarchical classifiers, on the other hand, involve a sequence of classification steps, each of which can involve a different wavelength band ...

2013
Lisa A. Boardman Ruth A. Johnson Kimberly B. Viker Kari A. Hafner Robert B. Jenkins Douglas L. Riegert-Johnson Thomas C. Smyrk Kristin Litzelman Songwon Seo Ronald E. Gangnon Corinne D. Engelman David N. Rider Russell J. Vanderboom Stephen N. Thibodeau Gloria M. Petersen Halcyon G. Skinner

INTRODUCTION Colorectal cancer (CRC) tumor DNA is characterized by chromosomal damage termed chromosomal instability (CIN) and excessively shortened telomeres. Up to 80% of CRC is microsatellite stable (MSS) and is historically considered to be chromosomally unstable (CIN+). However, tumor phenotyping depicts some MSS CRC with little or no genetic changes, thus being chromosomally stable (CIN-)...

2017
Hamad Ali Milad S. Bitar Ashraf Al Madhoun Makia Marafie Fahd Al-Mulla

Array-based comparative genomic hybridization (aCGH) emerged as a powerful technology for studying copy number variations at higher resolution in many cancers including colorectal cancer. However, the lack of standardized systematic protocols including bioinformatic algorithms to obtain and analyze genomic data resulted in significant variation in the reported copy number aberration (CNA) data....

2011
Pascale Blais Lecours Caroline Duchaine Michel Taillefer Claudine Tremblay Marc Veillette Yvon Cormier David Marsolais

The etiology of bioaerosol-related pulmonary diseases remains poorly understood. Recently, archaea emerged as prominent airborne components of agricultural environments, but the consequences of airway exposure to archaea remain unknown. Since subcomponents of archaea can be immunogenic, we used a murine model to study the pulmonary immune responses to two archaeal species found in agricultural ...

2003
Heike Dalinghaus Bodo Rieger

Durch die zunehmende Funktionsvielfalt der heutigen Management Support Systeme (MSS) werden immer höhere Anforderungen an die Anwender im Umgang mit diesen Systemen gestellt. Zur Unterstützung bei der Problemlösung stehen den Anwendern oft nur die von den MSS-Tool-Anbietern mitgelieferten Online-Hilfen und Dokumentationen zur Verfügung. Diese sind punktuell und anwendungsunabhängig ausgerichtet...

2017
Christoph Zimmer Reza Yaesoubi Ted Cohen

Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. In this manuscript, we describe a calibration and prediction framework for stochasti...

Journal: :IJKSR 2013
Miguel Torres Ruiz Marco Moreno Rolando Quintero Giovanni Guzmán

In this paper, the authors describe and implement an algorithm to perform a supervised classification into Landsat MSS satellite images. The Maximum Likelihood Classification method is used to generate raster digital thematic maps by means of a supervised clustering. The clustering method has been proved in Landsat MSS images of different regions of Mexico to detect several training data relate...

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