Results 71 to 80 of about 940,185 (248)

A New HWMA Dispersion Control Chart with an Application to Wind Farm Data

Mathematics, 2020
Recently, a homogeneously weighted moving average (HWMA) chart has been suggested for the efficient detection of small shifts in the process mean. In this study, we have proposed a new one-sided HWMA chart to effectively detect small changes in the ...
Muhammad Riaz, Saddam Akber Abbasi, Muhammad Abid, Abdulhammed K. Hamzat   +3 more
doaj   +1 more source

Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs

Scientific Reports, 2023
Control charts, including exponentially moving average (EWMA) , are valuable for efficiently detecting small to moderate shifts. This study introduces a Bayesian EWMA control chart that employs ranked set sampling (RSS) with known prior information and ...
Imad Khan, Muhammad Noor-ul-Amin, Dost Muhammad Khan, Emad A. A. Ismail, Wojciech Sumelka   +4 more
doaj   +1 more source

Cooperation cannot be sustained in a discounted repeated prisoners' dilemma with patient short and long run players [PDF]

, 2008
This study presents a modified version of the repeated discounted prisoners' dilemma with long and short-run players. In our setting a short-run player does not observe the history that has occurred before he was born, and survives into next phases of
Afacan, Oguz Mustafa, Afacan, Oğuz Mustafa, Barlo, Mehmet   +2 more
core  

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Random Functions via Dyson Brownian Motion: Progress and Problems

, 2016
We develope a computationally efficient extension of the Dyson Brownian Motion (DBM) algorithm to generate random function in C2 locally. We further explain that random functions generated via DBM show an unstable growth as the traversed distance ...
Battefeld, Thorsten, Wang, Gaoyuan
core   +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 new procedure for monitoring the range and standard deviation of a quality characteristic [PDF]

The Shewhart and the Bonferroni-adjustment R and S chart are usually applied to monitor the range and the standard deviation of a quality characteristic. These charts are used to recognize the process variability of a quality characteristic.
Kiani, Mehdi, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source

Power spectral measurements of clear-air turbulence to long wavelengths for altitudes up to 14,000 meters [PDF]

Measurements of three components of clear air atmospheric turbulence were made with an airplane incorporating a special instrumentation system to provide accurate data resolution to wavelengths of approximately 12,500 m (40,000 ft).
Mccain, W. E., Murrow, H. N., Rhyne, R. H.   +2 more
core   +1 more source

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

, 2018
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In this
Carroll, Sean, Chen, Jiale, Chen, Zhibo, Delp, Scott, Hicks, Jennifer, Huang, Zhewei, Jarosik, Piotr, Kidziński, Łukasz, Kolesnikov, Sergey, Levine, Sergey, Lin, Zhihui, Melnik, Andrew, Michalewski, Henryk, Miłoś, Piotr, Mohanty, Sharada Prasanna, Ong, Carmichael, Osiński, Błażej, Pavlov, Mikhail, Pechenko, Anton, Plis, Sergey, Ritter, Helge, Salathé, Marcel, Schilling, Malte, Shi, Jun, Stelmaszczyk, Adam, Yuan, Chun, Zhang, Zhizheng, Zheng, Zhuobin, Zhou, Shuchang   +28 more
core   +1 more source