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Reading is an essential method for adults to learn new languages, but difficulty reading texts in a foreign language can increase learners’ anxiety. Identifying text difficulty from the reader’s perspective can aid language learning by tailoring texts to readers’ needs. There is little research focusing on L2 speakers or using a multimodal approach, i.e., using multiple sensors, to detect subjective difficulty. In this study ( $N=30$ ) we determined L2 speakers’ subjective difficulty while reading using language proficiency and objective text difficulty, combined with physiological data. We compared machine learning classifiers combining eye, skin and heart sensor data against models using each modality separately. Additionally, we assessed the effect on model performance of shifting the data to account for delayed physiological responses. The models detected 3 levels of subjective difficulty (low, medium, high) and were evaluated using leave-one-participant-out (LoPo) and leave-one-document-out (LoDo) cross-validation. The results showed acceptable levels of generalization to new participants ( $Acc_{LoPo} = 0.434$ ) and documents ( $Acc_{LoDo} = 0.521$ ). Combining sensor data from all modalities improved predictions in both LoDo and LoPo cross-validation, compared to each modality in isolation. Shifting the data to account for physiological response delay did not improve model performance compared to not shifting the data. These findings support refining subjective difficulty detection models and their implementation in adaptive language learning systems. Finally, this work contributes to the field of cognitive science and technology by laying the foundation for innovative approaches to cognitive state detection.

Octocorals are among the most prolific sources of biologically active compounds. A significant part of their specialized metabolites richness is linked to the abundance of their associated microbiota. Consequently, research on the bioprospecting potential of microorganisms associated with these marine invertebrates has gained much interest. Here, we describe the draft genome of Gordonia hongkongensis strain EUFUS-Z928 isolated from the octocoral Eunicea fusca. The genome was assembled de novo from short-read whole-genome sequencing data. Additionally, functional annotation of predicted genes was performed using the RAST tool kit, including genome mining for specialized metabolite biosynthetic gene clusters using the antiSMASH v6.0 tool. The genome sequence data of G. hongkongensis EUFUS-Z928 can provide information for further analysis of the potential biotechnological use of this microorganism and guide the characterization of other related actinobacterial isolates. Likewise, this information increases the analytical capacity for studying the genus Gordonia.

A hallmark of Listeria (L.) monocytogenes pathogenesis is bacterial escape from maturing entry vacuoles, which is required for rapid bacterial replication in the host cell cytoplasm and cell-to-cell spread. The bacterial transcriptional activator PrfA controls expression of key virulence factors that enable exploitation of this intracellular niche. The transcriptional activity of PrfA within infected host cells is controlled by allosteric coactivation. Inhibitory occupation of the coactivator site has been shown to impair PrfA functions, but consequences of PrfA inhibition for L. monocytogenes infection and pathogenesis are unknown. Here we report the crystal structure of PrfA with a small molecule inhibitor occupying the coactivator site at 2.0 Å resolution. Using molecular imaging and infection studies in macrophages, we demonstrate that PrfA inhibition prevents the vacuolar escape of L. monocytogenes and enables extensive bacterial replication inside spacious vacuoles. In contrast to previously described spacious Listeria-containing vacuoles, which have been implicated in supporting chronic infection, PrfA inhibition facilitated progressive clearance of intracellular L. monocytogenes from spacious vacuoles through lysosomal degradation. Thus, inhibitory occupation of the PrfA coactivator site facilitates formation of a transient intravacuolar L. monocytogenes replication niche that licenses macrophages to effectively eliminate intracellular bacteria. Our findings encourage further exploration of PrfA as a potential target for antimicrobials and highlight that intra-vacuolar residence of L. monocytogenes in macrophages is not inevitably tied to bacterial persistence. Author summary Listeria monocytogenes is a bacterial pathogen that causes severe, often fatal disease in vulnerable individuals. Listeria monocytogenes infects host cells, where it needs to escape from its entry vacuole to replicate inside the host cell cytoplasm and spread to neighboring cells. Inability of Listeria to escape from vacuoles has been associated with long-term bacterial survival inside infected immune cells and chronic infection. We discovered that inhibition of the master regulator of the bacterial factors that orchestrate the intracellular lifestyle of Listeria monocytogenes traps the bacteria inside their entry vacuoles and facilitates extensive bacterial replication in spacious vacuoles. Yet, the majority of infected host immune cells survive the infection and ultimately clear the bacteria. Thus, our data demonstrate that intra-vacuolar existence of Listeria monocytogenes in immune cells is not inevitably tied to bacterial persistence and chronic infection. We provide high resolution structural insights into how an effective inhibitory molecule interacts with the master regulator of Listeria virulence, which may be exploited for rational drug design.