role of labor induction has increased in the last decade due to the ‎early detection of fetal jeopardy. although very useful, oxytocin alone is not always successful for induction of ‎labor. in a randomized clinical ‎trial we compared vaginal dinoprostone plus oxytocin with oxytocin alone for ‎induction of labor in 91 ‎pregnant women at 40 weeks or greater gestation with bishop scores ≤ 4. fort...

With the Fast Fourier Transform (FFT), a mathematical model for accurately computing distribution of a lightning currents flowing along a high voltage a.c. substation’s grounding system buried in half infinite homogenous earth has been developed in this paper. It is a hybrid of Galerkin’s method of moment (MoM) and a conventional nodal analysis method. The model can directly calculate the distr...

To metastasize, carcinoma cells must attenuate cell-cell adhesion to disseminate into distant organs. A group of transcription factors, including Twist1, Snail1, Snail2, ZEB1, and ZEB2, have been shown to induce epithelial mesenchymal transition (EMT), thus promoting tumor dissemination. However, it is unknown whether these transcription factors function independently or coordinately to activat...

In the context of the study of rule-based programming, we focus in this paper on the property of C-reducibility, expressing that every term reduces to a constructor term on at least one of its rewriting derivations. This property implies completeness of function definitions, and enables to stop evaluations of a program on a constructor form, even if the program is not terminating. We propose an...

The notion of effective learnability is analyzed by relating it to the proof-theoretic strength of an axiom system which is used to derive totality proofs for recursive functions. The main result, the generatorpredictor theorem, states that an infinite sequence of bits is learnable if the axiom system proves the totality of a recursive function which dominates the time function of the bit seque...

We present an algorithm (BBG) for inductive learning from examples that outputs a rule list. BBG uses a combination of greedy and branch-and-bound techniques, and naturally handles noisy or stochastic learning situations. We also present the results of an empirical study comparing BBG with Quinlan's C4.5 on 1050 synthetic data sets. We nd that BBG greatly outperforms C4.5 on rule-oriented probl...

In this paper, an effective lossless compression scheme for hyperspectral images is presented. The proposed scheme is based on a table look-up approach in prediction and employs two novel measures to improve the compression performance. The first measure takes advantage of the spatial data correlation and formulates the derivation of a spectral domain predictor as a process of Wiener filtering....

The paper demonstrates that falsifiability is fundamental to learning. We prove the following theorem for statistical learning and sequential prediction: If a theory is falsifiable then it is learnable – i.e. admits a strategy that predicts optimally. An analogous result is shown for universal induction. A theory that explains everything, [predicts] nothing. – attributed to Karl Popper. To what...