Výsledky vyhledávání

Akademický článek

Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest

Autor: Kaptanoglu AS, Namli A

Publikováno v: iForest - Biogeosciences and Forestry, Vol 13, Iss 1, Pp 435-440 (2020)

CO2 emission to the atmosphere is the main cause of global warming. The impacts of land-use changes for agriculture and urbanisation, deforestation, and fire disturbance are attributed to the increase in CO2 emissions. Soil respiration, largely due t

Externí odkaz: https://doaj.org/article/ba2e003ef9084fba80da70ca6803e4db

Zobrazit plný text záznamu

Akademický článek

Media-Induced Secondary Traumatic Stress: The Case of the Kahramanmaras Earthquake in Turkey

Autor: Nur İnci Namli, Selin Kiraz Demir

Publikováno v: European Journal of Mental Health, Vol 19, Iss 0028, Pp 1-16 (2024)

Introduction: Trauma manifests in a variety of ways and disrupts the lives of individuals. This is particularly the case in an age when communication technologies are permeating everyday practices, and mass media is an essential means of communicatio

Externí odkaz: https://doaj.org/article/81ee1cce96224190a26dfd8223964189

Zobrazit plný text záznamu

Akademický článek

An assessment of the European Patient Summary for clinical research: a case study in cardiology

Autor: Gokce Banu Laleci Erturkmen, Ali Anil Sinaci, Tuncay Namli, Machteld J. Boonstra, Karim Lekadir, Polyxeni Gkontra, Catherine Chronaki, Rhonda Facile, Rebecca Baker, Rebecca Kush

Publikováno v: Frontiers in Medicine, Vol 11 (2024)

IntroductionThe European Health Data Space (EHDS) initiative was launched to create a unified framework for health data exchange across Europe. Central to this initiative is the European Electronic Health Record Exchange Format, designed to achieve i

Externí odkaz: https://doaj.org/article/b67c16e8ac364ab4ac5f01779b5e54aa

Zobrazit plný text záznamu

Akademický článek

A scalable and transparent data pipeline for AI-enabled health data ecosystems

Autor: Tuncay Namli, Ali Anıl Sınacı, Suat Gönül, Cristina Ruiz Herguido, Patricia Garcia-Canadilla, Adriana Modrego Muñoz, Arnau Valls Esteve, Gökçe Banu Laleci Ertürkmen

Publikováno v: Frontiers in Medicine, Vol 11 (2024)

IntroductionTransparency and traceability are essential for establishing trustworthy artificial intelligence (AI). The lack of transparency in the data preparation process is a significant obstacle in developing reliable AI systems which can lead to

Externí odkaz: https://doaj.org/article/4df59a96395d4753bac99f349c86bd49

Zobrazit plný text záznamu