Abstract Time shift among samples remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions.In this work, we propose a new time shift alignment method, namely, automatic time-shift alignment (ATSA), for complicated chr

This article examined root causes of the equity gaps in dual enrollment through a systematic literature review of peer-reviewed literature, public scholarship, and practitioner perspectives.Root causes identified include access barriers, lack of advising and support, lack of awareness, and financial barriers for underrepresented students, all of wh

The optical-phased array (OPA) has gained special interest in recent years as Antennas a high-speed and compact imaging device.While large-scale OPAs have been demonstrated in single-pixel imaging, the complexity of the driver circuit is becoming a crucial problem as the number of phase shifters increases.Here, we investigate the phase shift requir

Self-initiated sensory action effects are widely assumed to lead to less intense perception and reduced neural responses compared to externally triggered stimuli (sensory attenuation).However, it is unclear if sensory attenuation occurs in all cases of action-effect prediction.Specifically, when predicted action-effects are relevant to determine fo

The Industrial Internet of Things (IIoT) refers to a novel manufacturing paradigm.In its core, it enables real-time, smart, horizontal, and vertical connection of machines, Photo Interrupter Kit objects, and people resulting in a smart factory.To date, the IIoT has primarily been researched from a technical perspective, while economic research is s