Anaerobic fungi are key players in the breakdown of fibrous plant material in the rumen, but not much is known about the composition and stability of fungal communities in ruminants. We analyzed anaerobic fungi in 53 rumen samples from farmed sheep (4 different flocks), cattle, and deer feeding on a variety of diets. Denaturing gradient gel electrophoresis fingerprinting of the internal transcr...

the presence of cyanobacteria (blue-green algae) is a significant indicator of water quality,having in mind that several genera have the quality of producing cyanotoxins, which are harmful to animals,plants and humans. seven lakes in vojvodina (republic of serbia) were examined in may and september 2007 for cyanobacterial presence and cyanotoxins content, chl a concentration and index of phosph...

With the rapid development of industry and agriculture and associated pollution, the cyanobacterial blooms in Lake Taihu have become a major threat to aquatic wildlife and human health. In this study, the ecotoxicological effects of cyanobacterial blooms on cage-cultured carp (Cyprinus carpio L.) in Meiliang Bay of Lake Taihu were investigated. Microcystins (MCs), major cyanobacterial toxins, h...

As human populations increase and land-use intensifies, toxic and unsightly nuisance blooms of algae are becoming larger and more frequent in freshwater lakes. In most cases, the blooms are predominantly blue-green algae (Cyanobacteria), which are favored by low ratios of nitrogen to phosphorus. In the past half century, aquatic scientists have devoted much effort to understanding the causes of...

This mixed methods study examines the structure of multiple-choice exam for student selection in Finnish teacher education. Through qualitative content analysis, we categorized questions into items that assessed lower- and higher-order cognitive processes based on Revised Bloom's Taxonomy. Exploratory confirmatory factor analyses yielded four factors represented processing skills comprehension ...

Algal blooms have recently become a critical global environmental concern which might put economic development and sustainability at risk. However, the accurate prediction of algal blooms remains a challenging scientific problem. In this study, a novel prediction approach for algal blooms based on deep learning is presented—a powerful tool to represent and predict highly dynamic and complex phe...