Deep learning, particularly convolutional neural networks (CNNs), has revolutionized
endoscopic image processing, significantly enhancing the efficiency and accuracy of disease …

The polluting of marine ecosystems with plastics is both a global and a local problem with
potentially severe consequences for wildlife, economic activity, and human health. It is a …

Resource scarcity has become an increasingly pressing challenge to the world. How
scarcity affects people’s preferences and behavior has been taken as an important issue for …

Disinfectants are essential tools for controlling infectious diseases and maintaining sterile
conditions in many medical and food-industry settings. Recent work revealed that a deficiency …

Purpose Eyelid sebaceous gland carcinoma (SGC) is a malignancy with fatal risk, high
recurrence rate, and pagetoid spread. Thus, recurrence risk prediction and prompt treatment are …

At present, the mainstream blood glucose detection methods are invasive, which will cause
harm to the human body and make it inconvenient to measure. The non-contact …

Purpose The purpose of this paper is to explore the factors that influence Chinese apple
farmers’ willingness to adopt organic farming, paying a special attention to the role of …

This study uses a large field experiment linked to actual behavior to evaluate the effects of
an information campaign with and without celebrity endorsement on the use of single-use …

This study aimed to investigate the prevalence of age-related macular degeneration (AMD)
in patients with diabetes mellitus (DM) and diabetic retinopathy (DR) and analyze whether …

With the development of network technology in the new era, Non-orthogonal Multiple
Access (NOMA) and Mobile Edge Computing (MEC) are regarded as the promising network …