Mediation refers to the effect transmitted by mediators that intervene in the relationship between an exposure and a response variable. Mediation analysis has been broadly studied in many fields. However, it remains a challenge for researchers to consider complicated associations among variables and to differentiate individual effects from multiple mediators. [1] proposed general definitions of mediation effects that were adaptable to all different types of response (categorical or continuous), exposure, or mediation variables. With these definitions, multiple mediators of different types can be considered simultaneously, and the indirect effects carried by individual mediators can be separated from the total effect. Moreover, the derived mediation analysis can be performed with general predictive models. That is, the relationships among variables can be modeled using not only generalized linear models but also nonparametric models such as the Multiple Additive Regression Trees. Therefore, more complicated variable transformations and interactions can be considered in analyzing the mediation effects. The proposed method is realized by the R package 'mma'. We illustrate in this paper the proposed method and how to use 'mma' to estimate mediation effects and make inferences

Filamentous fungi native to heavy metals (HMs) contaminated sites have great potential for bioremediation, yet are still often underexploited. This research aimed to assess the HMs resistance and Hg remediation capacity of fungi isolated from the rhizosphere of plants resident on highly Hg-contaminated substrate. Analysis of Hg, Pb, Cu, Zn, and Cd concentrations by X-ray spectrometry generated the ecological risk of the rhizosphere soil. A total of 32 HM-resistant fungal isolates were molecularly identified. Their resistance spectrum for the investigated elements was characterized by tolerance indices (TIs) and minimum inhibitory concentrations (MICs). Clustering analysis of TIs was coupled with isolates’ phylogeny to evaluate HMs resistance patterns. The bioremediation potential of five isolates’ live biomasses, in 100 mg/L Hg²⁺ aqueous solution over 48 h at 120 r/min, was quantified by atomic absorption spectrometry. New species or genera that were previously unrelated to Hg-contaminated substrates were identified. Ascomycota representatives were common, diverse, and exhibited varied HMs resistance spectra, especially towards the elements with ecological risk, in contrast to Mucoromycota-recovered isolates. HMs resistance patterns were similar within phylogenetically related clades, although isolate specific resistance occurred. Cladosporium sp., Didymella glomerata, Fusarium oxysporum, Phoma costaricensis, and Sarocladium kiliense isolates displayed very high MIC (mg/L) for Hg (140–200), in addition to Pb (1568), Cu (381), Zn (2092–2353), or Cd (337). The Hg biosorption capacity of these highly Hg-resistant species ranged from 33.8 to 54.9 mg/g dry weight, with a removal capacity from 47% to 97%. Thus, the fungi identified herein showed great potential as bioremediators for highly Hg-contaminated aqueous substrates.

Edible insects, a sustainable and nutritious alternative to conventionally derived proteins, are unfamiliar to Westerners and often associated with negative sentiments. Edible-cricket protein (ECP) added to chocolate brownies (CB) [0% ECP = CBWO (without) vs. 6% w/w ECP = CBW (with)], and disclosed information [no ECP added = (−) vs. ECP with benefits = (+), ECP− and ECP+, respectively] yielded four CB treatments (CBWO−, CBWO+, CBW−, and CBW+). Subjects (n = 112 female and n = 98 male) rated liking, selected emotions before- and after-tasting, and determined consumption (CI) and purchase intent (PI) after tasting. Likings were analyzed with mixed-effects ANOVA and post hoc Tukey’s HSD test. Emotions were evaluated with Cochran’s-Q test and correspondence analysis. Emotions driving or inhibiting overall liking (OL) were assessed with penalty-lift analyses using two-sample t-tests. A random forest algorithm was used to predict PI and estimate variables’ importance. Female’s and male’s expected OL were higher for CBWO− than for CBWO+. Females’ actual OL was higher for CBWO than for CBW regardless of the disclosed information but males’ actual OL was the same across treatments. Females exhibited negative-liking disconfirmation for CBW−. In both tasting conditions, the disclosed information affected treatments’ emotional profiles more than formulation. After-tasting emotions “happy” and “satisfied” were critical predictors of PI.

Currently, many consumers are reluctant to consume edible-cricket protein (ECP). Chocolate brownie (CB) formulations without (WO) and with (W) 6%w/w ECP (CBWO and CBW, respectively) were presented under two informed conditions: formulated without ECP (ECP−) and formulated with ECP+benefits (ECP+). CBWO− (CBWO presented with the “ECP−” claim), CBWO+ (CBWO presented with the “ECP+” claim), CBW− (CBW presented with the “ECP−” claim), and CBW+ (CBW presented with the “ECP+” claim) were evaluated by 210 consumers for expected and actual attribute liking, and after-tasting consumption and purchase intent. Multi-way ANOVA, principal component analysis, and agglomerative clustering examined liking. Cochran-Q tests compared actual-liking profiles, purchase and consumption intent. Before tasting, CBW− obtained the lowest appearance liking, flavor liking was higher for ECP− than for ECP+ for either formulation, and ECP+ decreased aroma and overall liking only for CBWO. After tasting, CBWO had higher liking than CBW (except for aroma) for either informed condition. Regardless of the formulation, ECP− and ECP+ had similar actual liking. Nevertheless, ECP+ prevented negative disconfirmation for both formulations while ECP− decreased texture liking (for CBWO) and all liking (for CBW) upon tasting. Females’ consumption intent was higher for CBWO regardless of the informed condition, but CBW+ achieved a similar purchase intent to CBWO− for both genders.