Results 81 to 90 of about 10,510,472 (349)

Linear programming applied to healthcare problems [PDF]

Einstein (São Paulo), 2003
Objective and Method: To present a mathematical modelingtechnique by means of linear programming as an efficient tool tosolve problems related to optimization in healthcare.
Frederico Rafael Moreira
doaj  

C‐mannosylation promotes ADAMTS1 activation and secretion in human testicular germ cell tumor NEC8 cells

FEBS Letters, EarlyView.
C‐mannosylation is a unique form of protein glycosylation. In this study, we demonstrated that ADAMTS1 is C‐mannosylated at Trp562 and Trp565 in human testicular germ cell tumor NEC8 cells. We found that C‐mannosylation of ADAMTS1 is essential for its secretion, processing, enzymatic activity, and ability to promote vasculogenic mimicry. These findings
Takato Kobayashi, Takehiro Suzuki, Ryota Kawahara, Natsumi Harai, Naoshi Dohmae, Siro Simizu   +5 more
wiley   +1 more source

The multidrug and toxin extrusion (MATE) transporter DTX51 antagonizes non‐cell‐autonomous HLS1–AMP1 signaling in a region‐specific manner

FEBS Letters, EarlyView.
The Arabidopsis mutants hls1 hlh1 and amp1 lamp1 exhibit pleiotropic developmental phenotypes. Although the functions of the causative genes remain unclear, they act in the same genetic pathway and are thought to generate non‐cell‐autonomous signals.
Takashi Nobusawa, Makoto Kusaba
wiley   +1 more source

OPTIMALITY AND SEPARABLE LINEAR PROGRAMMING: AN ADDITIONAL REMINDER [PDF]

The assumed global optimum solution obtained in linear programming is not an assumed characteristic of separable linear programming. Separable programming is non-linear programming and must possess certain sufficient conditions for a global optimum to be
Kilmer, Richard L.
core   +1 more source

Adaptive Linear Programming Decoding of Polar Codes

, 2014
Polar codes are high density parity check codes and hence the sparse factor graph, instead of the parity check matrix, has been used to practically represent an LP polytope for LP decoding.
Siegel, Paul H., Taranalli, Veeresh
core   +1 more source

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

Linear Programming for Multi-Agent Demand Response

IEEE Access, 2019
This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. Three major categories of customers and five types of energy resources are considered simultaneously to achieve ...
Alireza Fallahi, Jay M. Rosenberger, Victoria C. P. Chen, Wei-Jen Lee, Shouyi Wang   +4 more
doaj   +1 more source

Nonlinear Programming

Mathematical Programming Methods for Geographers and Planners, 2021
James Killen
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Reoptimizations in linear programming [PDF]

Replacing a real process which we are concerned in with other more convenient for the study is called modeling. After the replacement, the model is analyzed and the results we get are expanded on that process.
Albici, Mihaela, Tenovici, Cristina, Teselios, Delia   +2 more
core   +1 more source