Microorganisms are widely distributed in the human daily living environment. They play an
essential role in environmental pollution control, disease prevention and treatment, and food …

Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Assessment of ecological status for the European Water Framework Directive (WFD) is
based on “Biological Quality Elements”(BQEs), namely phytoplankton, benthic flora, benthic …

Lysine crotonylation (Kcr) is a newly discovered type of protein post-translational
modification and has been reported to be involved in various pathophysiological processes …

Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

Deep learning techniques have recently found application in biodiversity research. Mayflies
(Ephemeroptera), stoneflies (Plecoptera) and caddisflies (Trichoptera), often abbreviated as …

Morphological species identification is often a difficult, expensive, and time-consuming
process which hinders the ability for reliable biomonitoring of aquatic ecosystems. An …

Managing the water quality of freshwaters is a crucial task worldwide. One of the most used
methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in …

Abstract Background Monogeneans are flatworms (Platyhelminthes) that are primarily found
on gills and skin of fishes. Monogenean parasites have attachment appendages at their …