Results 51 to 60 of about 729,502 (283)

Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles, Greg Russell, Leila H. DeWitt, Kimberly Montez, Callie L. Brown   +4 more
wiley   +1 more source

Indian Sign Language Recognition

International Journal of Scientific Research in Science and Technology, 2021
The paper focuses on designing and developing an user interface to help out the dumb community in making a better use of their gestures. It mainly deals with making services of the hand gestures to be easily accessible and understandable to by the people using sign languages.
Ashwitha Anjali Maben, Prajna Shetty, Mamatha Salian   +2 more
openaire   +1 more source

Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan, Lydie Da Costa, Ludivine David Nguyen, Heloise Chosseler, Audrey Riquet, Benedicte Bruno, Melissa Barbati   +6 more
wiley   +1 more source

A new framework for sign language recognition based on 3D handshape identification and linguistic modeling [PDF]

, 2014
Current approaches to sign recognition by computer generally have at least some of the following limitations: they rely on laboratory conditions for sign production, are limited to a small vocabulary, rely on 2D modeling (and therefore cannot deal with ...
Dilsizian, Mark, Metaxas, Dimitris, Neidle, Carol, Wang, Shu, Yanovich, Polina   +4 more
core  

An original framework for understanding human actions and body language by using deep neural networks [PDF]

, 2020
The evolution of both fields of Computer Vision (CV) and Artificial Neural Networks (ANNs) has allowed the development of efficient automatic systems for the analysis of people's behaviour. By studying hand movements it is possible to recognize gestures,
MASSARONI, CRISTIANO
core  

Towards Sign language recognition system in Human-Computer interactions [PDF]

, 2013
This paper presents a modeling approach for Sign language recognition which is introduced through a dialogue between deaf people and signing avatar.
Dalle, Patrice, Jbeli, Maher, Jemni, Mohamed   +2 more
core   +2 more sources

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek, Lori Wiener, Stephanie Veldhuijzen van Zanten, Donna Johnston, Fyeza Hasan, Adam Rapoport, Nathasha Datoo, Kimberley Widger, Sumit Gupta, Karen Fergus, Anthony K. C. Chan, Alisha Kassam, Emily McCullogh, Dave Lysecki   +13 more
wiley   +1 more source

Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues

IEEE Access, 2021
People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential.
Muhammad Al-Qurishi, Thariq Khalid, Riad Souissi   +2 more
doaj   +1 more source

Linguistically-driven framework for computationally efficient and scalable sign recognition [PDF]

, 2018
We introduce a new general framework for sign recognition from monocular video using limited quantities of annotated data. The novelty of the hybrid framework we describe here is that we exploit state-of-the art learning methods while also incorporating ...
Dilsizian, Mark, Metaxas, Dimitris N., Neidle, Carol   +2 more
core  

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source