1.

Record Nr.

UNINA9910637793803321

Autore

Papantoniou Giorgos

Titolo

Unlocking Sacred Landscapes : Religious and Insular Identities in Context

Pubbl/distr/stampa

Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022

ISBN

3-0365-5648-6

Descrizione fisica

1 electronic resource (250 p.)

Soggetti

Religion & beliefs

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This Special Issue is the third and final volume in a trilogy of collective peer-reviewed works of the Unlocking Sacred Landscapes research network. It encompasses various approaches both to ritual space and to artefacts relating to ritual practice and cults involving islandscapes (including landscapes and seascapes). The terms ritual and cult are used broadly to include sanctuaries, temples, and churches, as well as the domestic and funerary spheres of life. Although the main focus of the Special Issue is the Mediterranean region, studies related to other regions are included to stimulate wider methodological dialogues and comparative approaches. The time span ranges from prehistory to the recent past, and research includes ethnography and cultural heritage studies. The contributions of the issue deal with historical and culturally driven perspectives that recognise the complexities of island religious systems as well as the active role of the islanders in constructing their own religious identities, irrespective of emulation and acculturation. The authors consider inter-island and island/mainland relations, maritime connectivity of things and people, and ideological values in relation to religious change, as well as the relation between island space and environment in the performance and maintenance of spiritual lives.



2.

Record Nr.

UNINA9910367743403321

Autore

Brenner J. Chad

Titolo

Application of Bioinformatics in Cancers

Pubbl/distr/stampa

MDPI - Multidisciplinary Digital Publishing Institute, 2019

ISBN

3-03921-789-5

Descrizione fisica

1 electronic resource (418 p.)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.