Developing unsupervised anomaly detection methods for hyperspectral data is of great importance for its applications in quality and safety control. As a frequently-used anomaly detection method, autoencoder (AE) might suffer from the ineffectiveness of extracting essential representations for...

Airborne transmission of SARS-CoV-2 has been increasingly recognized in the outbreak of COVID-19, especially during the emergence of Omicron variant. We conducted an investigation of a restaurant outbreak due to Omicron variant. Besides the epidemiological and phylogenetic analysis, the...

Highly transparent paper with 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO) radical-oxidized wood fibers (TOWFs) is a nascent sustainable photonic material for optoelectronics. However, its relatively low built-in haze and poor production efficiency are two remaining challenges. In this work, a...

Background: Copper is an essential micronutrient and plasma copper plays an important role in the development of myocardial infarction and cardiovascular disease (CVD)-specific mortality. However, nationwide data on the plasma copper concentrations and determinants in Chinese adults with...

Identifying the individual and combined hydrological response of land use landscape pattern and climate changes is the key to effectively managing the ecohydrological balance of regions. However, the nonlinearity, effect size, and multiple causalities limit a causal investigation. Therefore,...

The deep integration of artificial intelligence (AI) into enterprises presents both opportunities and challenges, making it a focal point of current research. This study explores the impact of AI on corporate risk-taking, using data spanning 2010-2019 from A-share listed companies in China. Our...

This chapter presents results on mass customization of wireless communications services and tariffs. It advocates for a user-centric view of wireless service configuration and pricing as opposed to present-day service catalogue options. The focus is on design methodology and tools for such...

Existing studies of pricing when customers queue, assume that the firm cannot adjust the price to the state of demand. In most applications this assumption is false. We adapt the classic model of Naor (1969 Econometrica) to allow the firm to adjust the price to the state of demand. In contrast...

Purpose The growing availability of naturalistic driving datasets (NDDs) presents a valuable opportunity to develop various models for autonomous driving. However, while current NDDs include data on vehicles with and without intended driving behavior changes, they do not explicitly demonstrate a...

This paper examines the role of international trade for economic prosperity in Pacific island countries (PICs), discusses their comparative advantage, and explores the potential for trade, and tourism in particular, to serve as a locomotive for inclusive economic growth. We find the trade...