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PurposeThe purpose of this paper is to explore the effects religious affiliation and commitment have on Southeast Asian young adults' intention to adopt Islamic mobile phone banking.Design/methodology/approachAn online self‐administered survey was distributed to Southeast Asian young adults through convenience and snowball sampling and a total of 135 responses obtained.FindingsThe study found Islamic mobile phone banking to be a novelty service, with little consumer awareness and experience, especially among non‐Muslims. Religious affiliation and commitment were both effective segmentation strategies, as differences in adoption intention were found between Muslims and non‐Muslims, as well as devout and casually religious Muslims. Overall, devout Muslims were socially‐oriented with their adoption criteria whereas casually religious and non‐Muslims relied upon the utilitarian attributes.Originality/valueThe paper contributes to the existing mobile banking adoption literature by providing evidence of consumers' adoption intentions toward Islamic mobile phone banking. It also uses religious commitment in addition to affiliation as segmentation tools, an approach which has not been used in previous Islamic mobile banking research.

The transient receptor potential vanilloid type 1 (TRPV1) is a heat-activated cation channel protein, which contributes to inflammation, acute and persistent pain. Antagonists of human TRPV1 (hTRPV1) represent a novel therapeutic approach for the treatment of pain. Developing various antagonists of hTRPV1, however, has been hindered by the unavailability of a 3D structure of hTRPV1. Recently, the 3D structures of rat TRPV1 (rTRPV1) in the presence and absence of ligand have been reported as determined by cryo-EM. rTRPV1 shares 85.7% sequence identity with hTRPV1. In the present work, we constructed and reported the 3D homology tetramer model of hTRPV1 based on the cryo-EM structures of rTRPV1. Molecular dynamics (MD) simulations, energy minimizations, and prescreen were applied to select and validate the best model of hTRPV1. The predicted binding pocket of hTRPV1 consists of two adjacent monomers subunits, which were congruent with the experimental rTRPV1 data and the cyro-EM structures of rTRPV1. The detailed interactions between hTRPV1 and its antagonists or agonists were characterized by molecular docking, which helped us to identify the important residues. Conformational changes of hTRPV1 upon antagonist/agonist binding were also explored by MD simulation. The different movements of compounds led to the different conformational changes of monomers in hTRPV1, indicating that TRPV1 works in a concerted way, resembling some other channel proteins such as aquaporins. We observed that the selective filter was open when hTRPV1 bound with an agonist during MD simulation. For the lower gate of hTRPV1, we observed large similarities between hTRPV1 bound with antagonist and with agonist. A five-point pharmacophore model based on several antagonists was established, and the structural model was used to screen in silico for new antagonists for hTRPV1. By using the 3D TRPV1 structural model above, the pilot in silico screening has begun to yield promising hits with activity as hTRPV1 antagonists, several of which showed substantial potency.

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Graphene oxide (GO) has emerged as the worldwide promising candidate for biomedical application, such as for drug delivery, bio-sensing and anti-cancer therapy. This study was focused on the zebrafish and RAW264.7 cell line as in vivo and in vitro models to assess the potential developmental neurotoxicity and immunotoxicity of GO. No obvious acute developmental toxicity was observed upon treatments with 0.01, 0.1, and 1 μg/mL GO for five consecutive days.However, decreased hatching rate, increased malformation rate, heart beat rate and hypoactivity of locomotor behavior were detected when exposed to 10 μg/mL GO. Also, RT-PCR analysis revealed that expressions of genes related to the nervous system were up-regulated. The potential risk of GO for developmental neurotoxicity may be ascribed to the high level of oxidative stress induced by high concentration of GO. Most importantly, the mRNA levels of immune response associated genes, such as interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNFα), interferon-γ (IFN-γ) were significantly increased under environmental concentration exposure. The activation of pro-inflammatory immune response was also observed in macrophage cell line. Taken together, our results demonstrated that immunotoxicity is a sensitive indicator for assessment of bio-compatibility of GO. K E Y W O R D S embryotoxicity, graphene oxide, oxidative stress, Raw264.7 cells, zebrafish

The development of artificial intelligence technology has greatly helped social productivity and economic growth. At the same time, we have changed modern marketing methods, provided technical assistance for precision marketing, improved modern marketing efficiency, and effectively reduced marketing costs. Compared to traditional marketing, artificial intelligence technology is applied to accurate marketing activities. It will make the marketing effect more accurate and personalized. Faced with these technological advances, it is important to study the application of artificial intelligence technology for the precise new marketing model. The advancement of artificial intelligence technology not only changed the way of marketing activities, but also enabled marketers to attract consumers more effectively. The enormous amount of data provides new opportunities and challenges for marketers. AI technology can accurately identify customer needs in a huge database to locate potential customers, meet customer needs, and establish a good relationship between marketers and consumers.