Spatial Expression In Caac

In this study, the author describes the linguistic expression of space in Caac, an endangered and under-documented Oceanic language spoken in New Caledonia, from both a descriptive and theoretical perspective. Part I provides a concise description of Caac grammar, presenting a first formal portrait of this language to the reader. Part II describes the formal and semantic features of the linguistic resources available in Caac to encode spatial relationships. Part III presents the theoretical framework based on and exploring further the vector analysis developed by Bohnemeyer (2012) and Bohnemeyer & O'Meara (2012). In particular, the author proposes an additional sub-category of vectors (Head-unspecified Vectors) which accounts for the uses of centrifugal forms in Caac. The resulting framework provides a systematic account of expressions of orientation as well as location and motion, and to combine the Frames of Reference typology (Pederson et al. 1998; Levinson, 1996, 2003; Bohnemeyer & Levinson, not dated) with an analysis of deictic expressions within a single framework. Special attention, moreover, is given to the use of Caac absolute and deictic directionals in spatial constructions involving Fictive Motion. The analysis of Caac data leads us to introduce an additional category of Fictive Motion beyond those previously recognised in the literature, labelled here "Anticipated Paths", which in turn shed new light on the nature of vectors and the relationship between location, motion and orientation.

In this volume, scholars from a wide range of fields within the humanities explore the links between space and place and their relation to cultural expression. This collection shows that a focus on the spatial can help elucidate important facets of symbolic expression and cultural production, whether it be literature, music, dance, films, or art.

Cancer is a complex and heterogeneous disease often caused by different alterations. The development of human cancer is due to the accumulation of genetic and epigenetic modifications that could affect the structure and function of the genome. High-throughput methods (e.g., microarray and next-generation sequencing) can investigate a tumor at multiple levels: i) DNA with genome-wide association studies (GWAS), ii) epigenetic modifications such as DNA methylation, histone changes and microRNAs (miRNAs) iii) mRNA. The availability of public datasets from different multi-omics data has been growing rapidly and could facilitate better knowledge of the biological processes of cancer. Computational approaches are essential for the analysis of big data and the identification of potential biomarkers for early and differential diagnosis, and prognosis.