This study explores the potential of photogrammetric datasets and remote sensing methods for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August 2018.During the event, flash floods and several landslides caused losses of lives, evacuation of people from their homes, collapses of infrastructure and large constructi
With the rise of deep learning, using deep learning to segment lesions and assist in diagnosis has become an effective means to promote clinical medical analysis.However, the partial volume effect of organ Girths tissues leads to unclear and blurred edges of ROI in medical images, making it challenging to achieve high-accuracy segmentation of lesio
Comprehensive molecular characterization of cancer subtypes is essential for predicting clinical outcomes and searching for personalized treatments.We present bnClustOmics, a statistical model and computational tool for multi-omics unsupervised clustering, which serves a dual purpose: Clustering patient samples based on a Bayesian network mixture m
After an experimental period strongly influenced by Samuel Beckett, between the late 1980s and the early 1990s Marina Carr emerged with the «Midlands trilogy» The Mai (1994), Portia Coughlan (1996) and By the Bog of Cats (1998) as one of the most potent and talented Irish women CAL/ MAG BLUEBERRY dramatists, competing with celebrated male playwri