Enabling Next-Generation Industrial Networks with Industrial PON
Traditional industrial networks primarily focus on onsite device operation and worker safety. They do not engage in the ongoing digital transformation with remote control machinery and big data pro…
On-Chip Silicon Optical Scattering Physical Unclonable Function Towards Hardw…
Physical Unclonable Function (PUF) serves as a physical security primitive that cannot be feasibly duplicated and has diversified applications in the field of hardware security. Although optical PU…
Intelligent Single-Cavity Dual-Comb Source With Fast Locking
Dual-comb source (DCS) generation occupies the central position to the versatilities of dual-comb applications. The single-cavity-based DCS generation is an emerging technology which provides super…
Analysis and Compensation of Vibration Induced Beat Frequency Shift in OFDR B…
Optical frequency domain reflectometry (OFDR) is an attractive locating technology for distributed acoustic sensor (DAS) due to its high spatial resolution, but the detectable bandwidth of vibratio…
Inverse Design of Nonvolatile Reconfigurable Mode Generator and Optical Circu…
Based on the novel concept of a fully-digitized module, we employ a forward-designed-assisted inverse design method to design a nonvolatile reconfigurable mode generator and an optical circulator, …
Rejoinder : Heterogeneous Impact of Brands’ Support for Black Lives Matter …
We discuss three main lines of comments on our paper: internal validity of the research given consumers’ potential misunderstanding of Black Lives Matter (BLM), challenges to the causal inference…
Frontiers : How Support for Black Lives Matter Impacts Consumer Responses on …
We scrutinize the direct and moderated impact of brands’ support for Black Lives Matter (BLM) on consumer responses. Our empirical strategy exploits Blackout Tuesday as a natural experiment in wh…
PolarMask++ : Enhanced Polar Representation for Single-Shot Instance Segmenta…
Reducing the complexity of the pipeline of instance segmentation is crucial for real-world applications. This work addresses this issue by introducing an anchor-box free and single-shot instance se…
Predicting Stages in Omnichannel Path to Purchase : A Deep Learning Model
The proliferation of omnichannel practices and emerging technologies opens up new opportunities for companies to collect voluminous data across multiple channels. This study examines whether levera…
Time-Inconsistent Preferences and Strategic Self-Control in Digital Content C…
This study examines consumers’ time-inconsistent preferences in digital content consumption and their strategic self-control behaviors. We used a unique data set obtained from a major digital boo…
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