Positional dependency in Murrinhpatha: expanding the typology of non-canonical morphotactics

Principles of morphotactics are a major source of morphological diversity amongst the world’s languages, and it is well-known that languages exhibit many different types of deviation from a canonical ideal in which there is a unique and consistent mapping between function and form. In this paper we present data from Murrinhpatha (non-Pama-Nyungan, northern Australia) that demonstrates a type of non-canonical morphotactics so far unattested in the literature, one which we call positional dependency. This type is unusual in that the non-canonical pattern is driven by morphological form rather than by morphosyntactic function. In this case the realisation of one morph is dependent on the position in the verbal template of another morph. Thus, it is the linearisation of morphs that conditions the morphological realisation, not the morphosyntactic feature set. Positional dependency in Murrinhpatha thus expands our typology of content-form interactions and non-canonical morphotactics with implications for our understanding of morphological structure cross-linguistically.

Data-driven Approach to Equipment Taxonomy Classification

A standardized taxonomy enables asset-intensive industrial organizations to systematically measure and track efficiency and performance of assets at different levels in an asset hierarchy. Having a well-structured taxonomy also allows companies to take advantage of emerging data-driven technologies such as PHM through enabling straightforward mapping of assets to analytical content specific to equipment commonalities, e.g., failure modes. However, the complexity and use of equipment taxonomy and coding structures in maintenance management systems vary widely for different organizations. This paper describes a data-driven approach for identifying equipment taxonomy from equipment records in maintenance management systems. The approach combines machine learning-based and rule-based methods into a hybrid man-in-the-loop workflow, which enables rapid and consistent mapping of equipment into a standard taxonomy. A case study is presented to demonstrate the performance and challenges of the proposed approach on equipment taxonomy classification.

Uptake of dietary milk miRNAs by adult humans: a validation study

Breast milk is replete with nutritional content as well as nucleic acids including microRNAs (miRNAs). In a recent report, adult humans who drank bovine milk appeared to have increased circulating levels of miRNAs miR-29b-3p and miR-200c-3p. Since these miRNAs are homologous between human and cow, these results could be explained by xeno-miRNA influx, endogenous miRNA regulation, or both. More data were needed to validate the results and explore for additional milk-related alterations in circulating miRNAs. Samples from the published study were obtained, and 223 small RNA features were profiled with a custom OpenArray, followed by individual quantitative PCR assays for selected miRNAs. Additionally, small RNA sequencing (RNA-seq) data obtained from plasma samples of the same project were analyzed to find human and uniquely bovine miRNAs. OpenArray revealed no significantly altered miRNA signals after milk ingestion, and this was confirmed by qPCR. Plasma sequencing data contained no miR-29b or miR-200c reads and no intake-consistent mapping of uniquely bovine miRNAs. In conclusion, the results do not support transfer of dietary xenomiRs into the circulation of adult humans.

Fundamental differences between perception and cognition aside from cognitive penetrability

Fundamental differences between perception and cognition argue that the distinction can be maintained independently of cognitive penetrability. The core processes of cognition can be integrated under the theory of relational knowledge. The distinguishing properties include symbols and an operating system, structure-consistent mapping between representations, construction of representations in working memory that enable generation of inferences, and different developmental time courses.