Low insertion loss is a critical requirement for some newly emerging applications, such as optical quantum computing. We have demonstrated improved free-space to single-mode fiber coupling via wavefront correction using an adaptive-optic (AO) mirror. By introducing AO correction paired with a three-step optimization algorithm, we have obtained 97.3 ± 0.3% of the Fresnel-reflection-limited mode-...

We conducted a production study to investigate prosodic encoding of discourse information in Mandarin, a tone language where F0, duration, and intensity also distinguish lexical items. We tested whether (i) the presence/absence of correction and (ii) the new/given distinction are encoded prosodically. Our results indicate that correction was reflected in all three parameters: Corrective words h...

We present a method for eecient conversion of diierential (chosen-plaintext) attacks into the more practical known-plaintext and ciphertext-only attacks. Our observation may save up to a factor of 2 20 in data over the known methods, assuming that plaintext is ASCII encoded English (or some other types of highly redundant data). We demonstrate the eeectiveness of our method by practical attacks...

Head motion is the major source of error in measuring intensity changes related to given stimuli in fMRI. The effects of head motion are image shifts and field inhomogeneity variations which cause local changes in geometric distortions. The previously developed motion correction method, mapping slice-to-volume (MSV), retrospectively remaps slices that are shifted by head motion to their spatial...

Affymetrix gene expression microarray is a popularly used platform for differential analysis. The analysis pipeline includes five steps: background correction, normalization, PM-only correction, and summarization, and differential analysis. Using publicly available microarray data, we compared the performance of five summarization methods: Median, Mean, Median Polish, Robust Linear Model, Li-Wo...

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but image classification usually relies on global image features only. Our region-based approach shows a significant improvement over previously ...

We find the inconsistency of dimensional reduction and naive dimensional regularization in their applications to Chern-Simons type gauge theories. Further we adopt a consistent dimensional regularization to investigate the quantum correction to non-Abelian Chern-Simons term coupled with fermionic matter. Contrary to previous results, we find that not only the Chern-Simons coefficient receives q...

We show that the theory of operator quantum error correction can be naturally generalized by allowing constraints not only on states but also on observables. The resulting theory describes the correction of algebras of observables (and may therefore suitably be called "operator algebra quantum error correction"). In particular, the approach provides a framework for the correction of hybrid quan...

Fig. 2: Illustration of the correction of throughplane distortions. The SEMAC sequence excites multiple slices with no gap in between and resolves the arbitrary distorted excitation slice profiles with the additional z-phase encoding. The correction is done by combining the signals resolved from different slices at each voxel, but many of which only contain background noise. Noise Consideration...