As technology continues to pervade our lives, the influence of culture on technology
adoption is of significant interest to researchers. However, culture, as a group-level construct …

Although reference intervals (RIs) play an important role in clinical diagnosis, there remain
significant differences with respect to race, gender, age and geographic location …

Data quality assessment has gained attention in the recent years since more and more
companies and medical centers are highlighting the importance of an automated framework …

Quantitative computed tomography (CT) texture analyses for images with and without
filtration are gaining attention to capture the heterogeneity of tumors. The aim of this study …

Since the start of the European Space Agency's Aeolus mission in 2018, various studies
were dedicated to the evaluation of its wind data quality and particularly to the determination …

Reference intervals are critical for the interpretation of laboratory results. The development
of reference intervals using traditional methods is time consuming and costly. An alternative …

Detecting outliers is an important step in data mining. Outliers not only hamper data quality
but also affect the output in case of prediction models. Prediction tools like Neural Networks …

This study provides a decade-long link between summer heatstroke incidence and certain
heat stress indices in 47 prefectures of Japan. The results for each prefecture were …

Air pollution is one of the biggest problems being faced by the world today and effective
measures are being sought to counter this menace. In order to devise a proper strategy of …

Exploring farmers' willingness to pay (WTP) for cultivated land protection and its influencing
factors is key to promoting their enthusiasm for participating in cultivated land pollution …