Actinomyces are nonmotile, filamentous, Gram-positive bacteria that cause actinomycosis in immunodeficiency patients. Although the prognosis of actinomycosis is good, the diagnosis of actinomycosis is quite difficult. Recent studies on actinomycosis have shown that Actinomyces play an important role in various biological and clinical processes, such as the formation of dental plaque and the degradation of organics in the gastrointestinal tract. Here, the distribution of Actinomyces in the digestive tract, and different biological effects of actinomycosis, and its clinical association with inflammatory diseases are discussed. Furthermore, an overview of the most commonly used treatment methods and drugs used to treat Actinomyces infected alimentary canal diseases is presented.

This study explores how individual level and team level social capital characteristics manifest their joint influence on knowledge transfer, considering team social capital as a moderator between individual social capital and knowledge transfer. Situated in a post-training context, a survey of 390 individuals from 30 teams in a Chinese bank was conducted. Our results revealed that team social capital interacted with individual social capital in influencing knowledge transfer. At the individual level, distance and structural equivalence between the knowledge seeker and the knowledge source influenced how much knowledge was transferred between them. Furthermore, team network density mitigated the negative effect of distance on knowledge transfer, and team learning culture reduced the positive effect of structural equivalence on knowledge transfer. Theoretical implications based on the findings are drawn.

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The morphology of nanometer-sized cobalt granules in a granular Cu88Co12 alloy was directly determined utilizing an atom probe-field ion microscope. The granules are spherical in shape, and exhibit a size distribution. Giant magnetoresistance (GMR) was observed in alloys with an average granule size ranging from 1.5 to 6 nm in diameter. A well-known theoretical model of general GMR behavior in magnetic granular systems was confirmed based on measurement of size distribution of the granules.