Results 231 to 240 of about 8,831,806 (372)
Smooth operator: Modifying the Anhøj rules to improve runs analysis in statistical process control. [PDF]
PLoS One, 2020 Anhøj J, Wentzel-Larsen T.
europepmc +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Computer Vision based Object Detection System for Statistical Process Control
, 2019 Akanksha Hinge
openalex +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Innovative Business Development. Statistical Control of Processes in Six Sigma
, 2018 Denis Anatol’Evich Zhevnov
openalex +2 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. [PDF]
Environ Monit AssessEzenkwu CP, Cannon S, Ibeke E.
europepmc +1 more source