Flux‐protection engineering stabilizes an oxidation‐prone L‐DOPA node in engineered E. coli by combining acid‐adapted chassis evolution, respiratory‐chain modulation, enzyme‐level flux matching, and pH–DO control. Carbon is redirected from oxidative browning to productive biosynthesis, enabling 1075.2 mg/L curcumin and demonstrating transferability to ...
Jianbin Chen +10 more
wiley +1 more source
Theoretical analysis of thermomechanical response for biological skin tissues. [PDF]
Islam N, Das B, Lahiri A.
europepmc +1 more source
Targeted chimeric degraders engage extracellular or membrane proteins and endocytosable cell‐surface receptors, forming ternary complexes that induce receptor‐mediated internalization. Following endocytosis, post‐endocytic sorting—not internalization alone—determines target fate.
Ke Liu +6 more
wiley +1 more source
Adaptive SMC with direct dual inertial matrix compensation for spacecraft attitude-orbit dynamics. [PDF]
Lu L, Xia L, Chai H, Li S, Liu Y.
europepmc +1 more source
Robust SAR Waveform Design for Extended Target in Spectrally Dense Environments. [PDF]
Zhang R +5 more
europepmc +1 more source
Solving the Portfolio Optimization Problem on a Photonic Quantum Computer. [PDF]
Grodzki Ł, Slysz M, Waligóra G.
europepmc +1 more source
Joint Optimization of Trajectory-Resource Allocation and Deep Task Partial Offloading for MEC-Enabled Multi-UAV. [PDF]
Liu C, Wang Y, Mei H, Du S, Guo B.
europepmc +1 more source
Explainable artificial intelligence-enabled intertwined logistics analytics with application in poultry vaccine distribution in the Northwest of Iran. [PDF]
Mehravaran M, Nemati A.
europepmc +1 more source
A first order method for linear programming parameterized by circuit imbalance. [PDF]
Cole R, Hertrich C, Tao Y, Végh LA.
europepmc +1 more source
The inverse optimal value problem for linear fractional programming
We study the inverse optimal value problem for linear fractional programming, where the goal is to find the coefficients of the fractional objective function such that the resulting optimal objective function value is as close as possible to some given ...
Taewoo Lee, Oleg A. Prokopyev, Sina Nadi
exaly +3 more sources

