Results 61 to 70 of about 1,500,956 (328)

Are estimated control charts in control? [PDF]

, 2001
Standard control chart practice assumes normality and uses estimated parameters. Because of the extreme quantiles involved, large relative errors result. Here simple corrections are derived to bring such estimated charts under control.
Albers, W., Kallenberg, W.C.M.
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Tukey Control Chart for Radon Monitoring in Relation to the Seismic Activity [PDF]

, 2021
Tahir Mehmood
openalex   +1 more source

Normal, parametric and nonparametric control charts, a data driven choice [PDF]

, 2003
Standard control charts are often seriously in error when the distributional form of the observations differs from normality. Recently, control charts have been developed for larger parametric families.
Albers, Willem/Wim, Kallenberg, W.C.M., Nurdiati, S., Sri Nurdiati, S.N.   +3 more
core   +1 more source

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

The Use of Control Charts in Neonatal Death Monitoring

Taṣvīr-i salāmat, 2011
Background and Objectives : Data are managed in two approaches in health information system:       Data–led and Action–led. In action–led approach, data are used in process improvement.
Mostafa Farah Bakhsh
doaj  

The Mixed CUSUM-EWMA (MCE) control chart as a new alternative in the monitoring of a manufacturing process

Brazilian Journal of Operations & Production Management, 2019
Goal: The objective is to conclude, based on a comparative study, if there is a significant difference in sensitivity between the application of MCE and the individual application of the CUSUM or EWMA chart, i.e., greater sensitivity particularly for ...
Custodio da Cunha Alves, Andréa Cristina Konrath, Elisa Henning, Olga Maria Formigoni Carvalho Walter, Edson Pacheco Paladini, Teresa A. Oliveira, Amílcar Oliveira   +6 more
doaj   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

An application of control charts in manufacturing industry [PDF]

, 2012
The range control chart and the X bar control chart are the well known and the most popular tools for detecting out- of-control signals in the Statistical Quality Control (SQC). The control charts has shown his worth in the manufacturing industry.
Muhammad, Faqir, Riaz, Muhammad
core  

On the reliability of Shewhart-type control charts for multivariate process variability [PDF]

, 2016
We show that in the current practice of multivariate process variability monitoring, the reliability of Shewhart-type control charts cannot be measured except when the sub-group size n tends to infinity. However, the requirement of large n is meaningless
Djauhari, Maman Abdurrachman, Lee, Siaw Li, Mohd Salleh, Rohayu, Zolkeply, Zunnaaim   +3 more
core   +1 more source