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To functionally link hTRM9L expression to tumourigenicity, we used a gain of function strategy where SW620 and HCT116 cells were engineered to over-express hTRM9L.
This paper proposes a Maximum Likelihood multi-criteria penalty function strategy for evaluating a priori parameter estimation approaches.
Where measures capture potentially conflicting influences on the manufacturing cost function, strategy implementation is facilitated by loosening control reactions to cost variances and through explicit attempts to integrate multiple measures.
Unlike the existing approach based on time-dependent switching strategy, in which the switching instants must be given in advance, largest region function strategy, i.e., state-dependent switching strategy, is adopted to design the switching signal.
The proposed stochastic framework, which utilises a Genetic Algorithm and a penalty function strategy, is found to be successful in obtaining profitable and feasible column designs for many design scenarios including binary and multicomponent mixtures, single duty and multipurpose columns, as well as for regular and complex column configurations.
In order to provide a robust and effective penalty function strategy with which the design engineers use genetic algorithms to seek the optimum without the time-consuming tuning process, the self-organizing adaptive penalty strategy (SOAPS) for constrained genetic searches was proposed.
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The effectiveness of the genetic searches to locate the global optimum on constrained optimization problems often relies on the proper selections of many parameters involved in the penalty function strategies.
In conclusion, EPO treatment may offer a unique dual-function strategy for neuroprotection and regeneration.
To gain further insight into the early functions of XMeis3, we followed a gain- and a loss-of-function strategy.
To address the potential role of histone H4K20 methylation in cellular differentiation, we used a gain-of-function strategy to characterize the SUV420H proteins during myogenesis.
To assess the significance of this change, we used a gain-of-function strategy involving the lysine methyltransferases SUV420H1 and SUV420H2, which catalyze H4K20me2 and H4K20me3.
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