13,001 research outputs found
Quantum simulation with N=19 Rydberg atoms for quantum Ising dynamics
No full textN = 19 rubidium atoms are loaded with holographic optical tweezers in a zig-zag chain and entangled through collective Rabi oscillation to Rydberg state. Resulting coherent dynamics manifests quantum simulation of 1D quantum-Ising model with controlled frustrations
sj-docx-1-msj-10.1177_13524585211060326 – Supplemental material for Brighter spotty lesions on spinal MRI help differentiate AQP4 antibody-positive NMOSD from MOGAD
No full textSupplemental material, sj-docx-1-msj-10.1177_13524585211060326 for Brighter spotty lesions on spinal MRI help differentiate AQP4 antibody-positive NMOSD from MOGAD by Jae-Won Hyun, Hye Lim Lee, Jaehong Park, Jiah Kim, Ju-Hong Min, Byoung Joon Kim, Seung Woo Kim, Ha Young Shin, So-Young Huh, Woojun Kim, Ji Won Seo, Ki Hoon Kim, Su-Hyun Kim and Ho Jin Kim in Multiple Sclerosis Journal</p
MSJ913970_supplemental_table – Supplemental material for Recurrence of clinical events at the same anatomical location in patients with MOG antibody-associated disease
No full textSupplemental material, MSJ913970_supplemental_table for Recurrence of clinical events at the same anatomical location in patients with MOG antibody-associated disease by Jae-Won Hyun, Young Nam Kwon, Hye Lim Lee, Woo Kyo Jeong, Hye Jung Lee, Byoung Joon Kim, Seung Woo Kim, Ha Young Shin, Hyun-June Shin, Sun-Young Oh, Min Young Lee, Su-Hyun Kim, So-Young Huh, Woojun Kim, Min Su Park, Sun-Young Kim, Sung-Min Kim and Ho Jin Kim in Multiple Sclerosis Journal</p
Author Correction: Evaluation of skin cancer resection guide using hyper‑realistic in‑vitro phantom fabricated by 3D printing
No full textThe original version of this Article contained an error in the spelling of the author Taehun Kim which was incorrectly given as Teahun Kim. The original Article has been corrected
High Temperature Deformation-Induced Transformation in Nb-Bearing Medium Mn Steel
No full textDynamic transformation (DT) of deformed austenite to ferrite at temperatures above A(e3) occurs during a multi-step hot torsion test of a Nb-bearing medium manganese steel. In torsion tested specimens, equiaxed grains are dispersed within a martensite matrix, and the average grain size is less than 1 mu m. Electron back-scattering diffraction results confirm that most of the equiaxed grains are recrystallized ferrite, and there is a small fraction of retained austenite. (C) The Minerals, Metals & Materials Society and ASM International 201811Nsciescopu
Deep-Learning-Based Automated REM Sleep Detection in Patients With REM Sleep Behavior Disorder: Is It Reliable?
No full textBackground and Purpose Rapid eye movement (REM) sleep without atonia makes it difficult to detect REM sleep stages using electromyography in patients with REM sleep behavior disorder (RBD). The objectives of this study were to propose an automated REM sleep detector that requires only electroencephalography (EEG) and electrooculography (EOG) data, and to evaluate its performance using real-world polysomnography (PSG) data in RBD patients. Methods This multicenter study used 310 PSG datasets obtained from 5 tertiary hospitals. The data were divided into RBD (n=200) and non-RBD (n=110), as well as, into Parkinson's disease (PD) with RBD (n=76), PD without RBD (n=46), idiopathic RBD (iRBD) (n=124), and healthy controls (n=64). An automated computerized REM detection algorithm was implemented using U-Sleep's publicly available pretrained network. Results The U-Sleep-based REM sleep-detection algorithm correctly identified REM sleep with an area under the receiver operating characteristic curve (AUC) of 0.90 +/- 0.14. The classification performance of the REM sleep detector differed significantly between RBD and non-RBD patients (AUC=0.88 +/- 0.13 vs. 0.93 +/- 0.14, p=0.007). The REM sleep detector accurately classified REM sleep in the order of healthy controls, PD without RBD, iRBD, and PD with RBD, with AUC values of 0.94 +/- 0.02, 0.92 +/- 0.03, 0.90 +/- 0.02, and 0.86 +/- 0.02, respectively. Conclusions Our U-Sleep-based REM sleep detector based on only EEG and EOG data showed good performance in detecting REM sleep. However, it performed considerably worse in RBD, especially in PD with RBD. Using transfer learning with fine-tuning by expert review, a high-performance REM sleep-detecting system will be realized.
A 0.0014 mm<sup>2</sup>, 1.18 TΩ Segmented Duty-Cycled Resistor Replacing Pseudo-Resistor for Neural Recording Interface Circuits
No full textThis paper proposes a segmented duty-cycled resistor (SDR) that replaces the pseudo-resistor for neural recording amplifiers. To the authors' best knowledge, the proposed design, for the first time, achieves higher than 1 TO resistance and a switching frequency above the signal bandwidth at the same time. Therefore, it eliminates in-band switching artifacts and output DC drift. The SDR achieves up to 1.18TO with only 6.5% temperature variation and 1.5% chip-to-chip variation among 10 samples. Hence it offers sufficiently low and stable cut-off frequencies for both action potential and local field potential recordings, while only occupying an area of 0.001375mm2
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