Results 171 to 180 of about 10,510,472 (349)
STATIONARY‐STATE SOLUTIONS IN MULTI‐PERIOD LINEAR PROGRAMMING PROBLEMS [PDF]
David Throsby
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AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou+5 more
wiley +1 more source
Optimizing the Heat Loss from an Insulation Material and Boundary Layer Thickness of Airflow through a Hot Plate Using Nonlinear Least-Squares Error and Linear Programming Algorithms. [PDF]
Alrasheed MRA.
europepmc +1 more source
Note on the Use of Transfer Procedures in Linear Programming
Arthur J. Coutu+2 more
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Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
Image thresholding segmentation based on weighted Parzen-window and linear programming techniques. [PDF]
Xiong F, Zhang Z, Ling Y, Zhang J.
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Decomposition principle for linear fractional functional programs [PDF]
Suresh Chandra
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Microglia (BV2) and IL‐4‐treated BMDMs promote astrocytoma clustering and inhibit tumor growth, not shown in other macrophage cells. In vivo, microglial co‐implantation enhances CD8+ T cell infiltration, elevates Granzyme B, lowers circulating MDSCs, and extends survival only in immune‐competent mice, but not in immune‐deficient mice.
Tzu‐Chieh Sun+5 more
wiley +1 more source