This article presents a statistical TCAD tool called Multilevel-Partitioned REsponse Surface Modelling (M-PRES) to model the impact of manufacturing process variations on circuit performance; an SRAM cell is use
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Temporal evaluation is an important tool for analyzing the malignant behavior of lesions during treatment, or of indeterminate lesions that may be benign. This work proposes a methodology for the analysis, quantification, and visualization of small (local) and large (global) changes in lung lesions...
Creating a tool for the prediction of the defect rate. • Processing the possible strategies to reduce the defect rate. 2. Quality tools applied for the investigation of the failure causes The investigation regarding the causes for the frequent failures involving the manufactured valves was initiall...
In each case, the hypothesis anticipates a specific direction of the effect, making a one-tailed test a precise tool for testing that expectation. On the other hand, if your hypothesis is neutral and simply tests whether there is any difference or relationship, regardless of direction, you'll...
Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant. Inadequate statistical power increases not only the probability of missing genuine associations but also the probabi...
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from stati
Fuks, FeynRules 2.0: A complete toolbox for tree-level phenomenology, Comput. Phys. Commun. 185 (2014) 2250 [arXiv:1310.1921] [INSPIRE].ADSCrossRef [63] J. Alwall et al., The automated computation of tree-level and next-to-leading order differential cross sections and their ...
The incorporation of diversity allows for a more robust and comprehensive model that captures a wide range of data patterns, and the reduction of overfitting ensures that the model generalizes well to unseen data, making it a reliable and accurate tool for predictive analytics. We have a separate...
Coifman, R. R. et al. Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps.Proc. Natl Acad. Sci. USA102, 7426–7431 (2005). CASPubMedPubMed CentralGoogle Scholar Setty, M. et al. Characterization of cell fate probabilities in single-cell ...