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Bacillus probiotics have a sporulation capacity that makes them more suitable for processing and storage and for surviving passage through the gastrointestinal tract. The probiotic functions and regulatory mechanisms of different Bacillus have been exploited in many reports, but little is known about how various Bacillus probiotics perform different functions. This knowledge gap results in a lack of specificity in the selection and application of Bacillus. The probiotic properties are strain-specific and cell-type-specific, and are related to the germination potential and to the diversity of metabolites produced following intestinal germination, as this causes the variation in probiotic function and mechanisms. In this review, we discuss the Bacillus metabolites produced during germination and sporulation in the GI tract, as well as possible processes affecting intestinal homeostasis. We conclude that the oxygen-capturing capability and the production of antimicrobials, exoenzymes, competence and sporulation factors (CSF), exopolysaccharides, lactic acid, and cell components are specifically associated with the functional mechanisms of probiotic Bacillus. The aim of this review is to guide the screening of potential Bacillus strains for probiotics and their application in nutrition research. The information provided will also promote further research on Bacillus-derived functional metabolites in human nutrition. [ABSTRACT FROM AUTHOR]

AI‐based voice assistants (AIVA) are capable of interpreting human speech and responding with useful information, aiding with tasks, and controlling other devices. The usage of these AIVAs has grown significantly worldwide. Despite this growth, studies on user behavior related to continued usage intention of AIVAs and effects on the long‐term commercial sustainability of brands, remain low. What is less understood is the potential of AI instrumentality attributes and brand credibility components in provoking shifts in post‐use behavior of AIVAs. This study proposes a model which expands on the Expectation‐Confirmation Model for user continuance behavior of AIVAs, by integrating user's technology related traits, AI instrumentality attributes and brand credibility. To verify the research hypotheses, the study employed partial least square—structural equation modelling, based on 281 validated responses of a survey. This study highlights the significance of Optimism, Innovativeness, and Discomfort for post‐adoption confirmation. Higher post‐adoption confirmation is strongly associated with perceived intelligence, anthropomorphism, information quality, and system quality. Anthropomorphism and information quality are key factors for brand expertise, while anthropomorphism and system quality are significant for brand trustworthiness. The study confirms that brand expertise and trustworthiness lead to post‐use satisfaction and use continuance intention. Understanding the antecedents of satisfaction and continuance intention extends the existing literature on AIVAs and provides valuable insights for academics and practitioners alike. Some implications for researchers and managers are discussed. [ABSTRACT FROM AUTHOR]