Results 51 to 60 of about 2,047,036 (332)

Multivariate data analysis in engineering applications [PDF]

, 2015
The information age has resulted in masses of data in every field. Techniques to analyse this data are therefore becoming more and more important in all branches of engineering as well.
Vuksanovic, Branislav
core  

Electron-hadron shower discrimination in a liquid argon time projection chamber [PDF]

, 2013
By exploiting structural differences between electromagnetic and hadronic showers in a multivariate analysis we present an efficient Electron-Hadron discrimination algorithm for liquid argon time projection chambers, validated using Geant4 simulated ...
A. Ankowski, A. Ereditato, A. J. Bennieston, A. Rubbia, B. Andrieu, B. Fleming, B. Morgan, C. Andreopoulos, C. Rubbia, C.B. Barber, E. Aprile, E.F. Martinez, G. J. Barker, I.T. Jolliffe, J. J. Back, M. Tanaka, P. Huber, P. Speckmayer, S. Agostinelli, S. Amoruso, S. B. Boyd, T.E. Oliphant, Y. A. Ramachers   +22 more
core   +2 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]

, 2009
Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Li, Chang-Tsun, Yuan, Yinyin
core   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Optimization of Dissolution Compartments in a Biorelevant Dissolution Apparatus Golem v2, Supported by Multivariate Analysis

Molecules, 2017
Biorelevant dissolution instruments represent an important tool for pharmaceutical research and development. These instruments are designed to simulate the dissolution of drug formulations in conditions most closely mimicking the gastrointestinal tract ...
Ivan Stupák, Sylvie Pavloková, Jakub Vysloužil, Jiří Dohnal, Martin Čulen   +4 more
doaj   +1 more source

A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding

Sensors, 2020
New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess
Maxime Ryckewaert, Daphné Héran, Emma Faur, Pierre George, Bruno Grèzes-Besset, Frédéric Chazallet, Yannick Abautret, Myriam Zerrad, Claude Amra, Ryad Bendoula   +9 more
doaj   +1 more source

Multivariate exploratory data analysis: bias assessment [PDF]

, 2000
El objetivo de la presente investigación fue evaluar si el sesgo cometido por los sujetos en una tarea de clasificación de estímulos varió en función del formato de presentación (soles o estrellas) y la forma de asignar las variables (aleatoria ...
Jurado Muriel, Trinidad, López Domínguez, M.L., Morales Ortiz, Manuel   +2 more
core  

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Towards Analysis of Multivariate Time Series Using Topological Data Analysis

Mathematics
Topological data analysis (TDA) has proven to be a potent approach for extracting intricate topological structures from complex and high-dimensional data.
Jingyi Zheng, Ziqin Feng, Arne D. Ekstrom   +2 more
doaj   +1 more source