Results 51 to 60 of about 1,508,361 (330)

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

Deep Lip Reading: A Comparison of Models and an Online Application [PDF]

Interspeech 2018, 2018
To appear in Interspeech ...
Afouras, T, Chung, J, Zisserman, A
openaire   +2 more sources

Two Faces of NOTCH1 in Childhood Lymphoblastic T‐Cell Neoplasia: Prognostic Divergence of Mutational and Structural Aberrations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider, Amelie Alfert, Marc Hotfilder, Birgit Burkardt, Marcel te Vrugt   +4 more
wiley   +1 more source

Application of Computer-aided Diagnosis System Based on Deep Learning in Rib Fracture Diagnosis

CT Lilun yu yingyong yanjiu, 2022
Objective: To investigate the application value of computer-aided diagnosis (CAD) system based on deep learning (DL) in rib fracture diagnosis. Methods: The CT images of 232 patients with chest trauma were analyzed retrospectively and the films were read
Shan XIONG, Bo CHEN, Jie MAO, Sibin LIU, Yuanyi HUANG, Jianmin CHENG   +5 more
doaj   +1 more source

Shallow reading with Deep Learning: Predicting popularity of online content using only its title

, 2017
With the ever decreasing attention span of contemporary Internet users, the title of online content (such as a news article or video) can be a major factor in determining its popularity. To take advantage of this phenomenon, we propose a new method based
Marasek, Krzysztof, Rokita, Przemyslaw, Stokowiec, Wociech, Trzcinski, Tomasz, Wolk, Krzysztof   +4 more
core   +1 more source

Influence of open- and closed-book tests on medical students' learning approaches [PDF]

, 2008
CONTEXT Two learning approaches are consistently distinguished in the literature: deep and surface learning. The deep learning approach is considered preferable.
Cohen-Schotanus, Janke, Heijne-Penninga, Marjolein, Hofman, W. H. Adriaan, Kuks, Jan B. M.   +3 more
core   +2 more sources

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

J. L. Austin and literal meaning [PDF]

, 2012
Alice Crary has recently developed a radical reading of J. L. Austin's philosophy of language. The central contention of Crary's reading is that Austin gives convincing reasons to reject the idea that sentences have context-invariant literal meaning ...
Austin J. L., Bauer N., Crary A., Derrida J., Dummett M., Higginbotham J., Kaplan D., Ludlow P., Recanati F., Szabó Z. G., Travis C., Travis C., Wright C.   +12 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Training a Ranking Function for Open-Domain Question Answering

, 2018
In recent years, there have been amazing advances in deep learning methods for machine reading. In machine reading, the machine reader has to extract the answer from the given ground truth paragraph.
Bowman, Samuel R., Cho, Kyunghyun, Htut, Phu Mon   +2 more
core   +1 more source