Results 221 to 230 of about 775,681 (328)

Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals. [PDF]

Sci Rep
Xue J, Li Z, Zhang S.
europepmc   +1 more source

Genetic Algorithm Based Reactive Scheduling (1st Report, Modification of Production Schedule for Delays of Manufacturing Processes)

, 2003
Yoshitaka TANIMIZU, Tatsuhiko Sakaguchi, Nobuhiro Sugimura   +2 more
openalex   +2 more sources

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Modern Technology's role in accounting cost calculation of industrial enterprises: Informatization as a key strategy to improve management efficiency. [PDF]

Heliyon
Liang H.
europepmc   +1 more source

Inspection Scheduling for Imperfect Production Processes

, 2005
Bibhas C. Giri, Tadashi Dohi
openalex   +2 more sources

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

GA BP prediction model for energy consumption of steel rolling reheating furnace. [PDF]

Sci Rep
Duan Y, Chen G, Bao X, Xu J, Zhang L, Yang X.   +5 more
europepmc   +1 more source

A multi-agent architecture for dynamic scheduling of steel hot rolling [PDF]

, 2003
Cowling, P., Ouelhadj, Djamila, Petrovic, S.   +2 more
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Virtual Simulation-Based Optimization for Assembly Flow Shop Scheduling Using Migratory Bird Algorithm. [PDF]

Biomimetics (Basel)
Zhao WB, Hu JH, Tang ZQ.
europepmc   +1 more source