Dispersion Management for Hyperbolic-Metamaterials Based Surface Plasmon Reso…
Extremely high sensitivity is the long-time pursing goal for surface plasmon resonance (SPR) sensors, which means the capability to detect analytes with lower concentrations or interactions for sma…
Accurate Mode-Coupling Characterization of Low-Crosstalk Ring-Core Fibers Usi…
In this paper, to accurately characterize the low inter-mode coupling of the weakly-coupled few mode fibers (FMFs), we propose a modified inter-mode coupling characterization method based on swept-…
"Numerical Analysis of 3.92 μm Dual-Wavelength Pumped Heavily-Holmium-Doped …
In the article, Numerical Analysis of 3.92 m Dual-Wavelength Pumped Heavily-Holmium-Doped Fluoroindate Fiber Lasers (Feng Zhou, vol. 39, no. 2, pp. 633645, Jan. 2021), we found some errors in the p…
Judgment Aggregation in Creative Production : Evidence from the Movie Industry
We study a novel, low-cost approach to aggregating judgment from a large number of industry experts on ideas that they encounter in their normal course of business. Our context is the movie industr…
Understanding Inconsistent Employee Compliance with Information Security Poli…
Organizational information security (ISec) threats have exploded with advances in globalization and technology. Thus, organizations are scrambling to find both technical and behavioral approaches t…
News-Induced Dynamic Networks for Market Signaling : Understanding the Impact…
Firm relations, which inform the competitive environments of firms, are critical to firm operations and are often factored into investor decisions. Previous studies and practices have considered re…
Ultrasensitive Broadband Refractometer Based on Single Stress-Applying Fiber …
Optical microfiber-based refractometer, which relies on modal interference operating near the dispersion turning point (DTP), has attracted a high level of research interest. The ultrahigh sensitiv…
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challeng…
This paper reports the results and post-challenge analyses of ChaLearn's AutoDL challenge series, which helped sorting out a profusion of AutoML solutions for Deep Learning (DL) that had been intro…
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