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This questionnaire data is used to collect information on airport selection and satisfaction evaluation of air passengers in dual airport cities. We invited passengers who have flown in Beijing, Shanghai, and Chengdu to fill out the questionnaire. The survey results are only for academic research purposes. Please fill out this questionnaire based on the passenger's usual travel situation and personal preferences. Multiple choice questions with 0 indicating no selection and 1 indicating selection, a total of 755 valid questionnaires were collected
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Decision-makers must make decisions under uncertainty. In the era of Data Analytics and ``data-driven" decision-making, decision-makers therefore need to understand the risk, variance and uncertainty in the data they are provided. While there has been a sizable research effort to investigate how to communicate risk to lay people better, the field of uncertainty visualization is much less-developed, with many questions still remaining how to best visualize variance and uncertainty.
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A dual-passband frequency-selective rasorber (FSR) with high selectivity is proposed in this letter. By analyzing the equivalent circuit model (ECM), the design approach improving the selectivity of the dual-passband is introduced. The FSR is formed by a lossy layer and two frequency-selective surface (FSS) layers. The lossy layer is composed of two parallel resonance units embedded in a rhombic structure, which is connected with fourresistors loaded on the T-shape metal strips.
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Raw output waveforms from AC characterization data of nanowire cryotrons. The tested nanowire cryotrons consisted of devices with a 300 nm wide channel, and a choke width varying from 15 nm to 40 nm. The choke offset from the center of the channel was also varied from 0 um to 3 um.
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This dataset provides the resources for replicating and extending the research work. It includes the source code, videos, images, and essential results that document every stage of the study. The provided code facilitates direct implementation and validation of the methodologies, while the videos and images offer visual insights into the experimental procedures and outcomes. Key results are meticulously documented to highlight the significance of the findings.
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Quantum computing stands at the forefront of technological innovation, promising to revolutionize fields ranging from cryptography to material science by leveraging the unique properties of quantum mechanics. Central to the advancement of quantum computing is the development of efficient and scalable quantum circuits, which serve as the fundamental building blocks for quantum algorithms. Traditional static quantum circuits, while powerful, often face limitations in flexibility and efficiency, particularly as the complexity of quantum algorithms increases.
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Entrepreneurial education still faces diverse challenges, including discrepancy between the theory and the practice with regard to professional standards for credentialing and preferential access to quality training opportunity. Although the ability of Digital Learning (DL’s) is to provide scalable, adaptive and attractive learning, the issues to ensure quality assurance and the way to evaluate the skill validation are still open.
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The proposed SystemVerilog MESO models offer significantly faster simulation capabilities compared to the physical model [1], improving simulation speed while preserving essential accuracy. This enhancement enables the design of more complex circuits, including MESO cells, standard cells, and intellectual property (IP) blocks, while incorporating time multiplexing techniques.
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Analysis of bacterial biofilms is particularly challenging and important with diverse applications from systems biology to biotechnology. Among the variety of techniques that have been applied, time-of-flight secondary ion mass spectrometry (ToF-SIMS) has many promising features in studying the surface characteristics of biofilms. ToF-SIMS offers high spatial resolution and high mass accuracy, which permit surface sensitive analysis of biofilm components. Thus, ToF-SIMS provides a powerful solution to addressing the challenge of bacterial biofilm analysis.
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