Results 101 to 110 of about 8,580,577 (295)

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

iWOAR 2017, 4th International Workshop on Sensor-based Activity Recognition and Interaction

, 2022
Ubiquitous systems are becoming an integral part of our everyday lives. Functionality and user experience often depends on accurate, sensor-based activity recognition and interaction. Systems aiming to provide the user with assistance or to monitor their

core   +1 more source

Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets

Sensors, 2018
Working with multimodal datasets is a challenging task as it requires annotations which often are time consuming and difficult to acquire. This includes in particular video recordings which often need to be watched as a whole before they can be labeled ...
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt   +2 more
doaj   +1 more source

Representation of Sickle Cell Disease Patients in Pediatric and Adult Care: What We Discovered Using Informatics for Integrating Biology and the Bedside (i2b2) Data

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Transitioning from pediatric to adult care is a high‐risk period for individuals with sickle cell disease (SCD). An initial observation at one academic medical center suggested a sex‐based disparity in clinic populations, prompting a national investigation.
Laurie J. Duckworth, Kholod Alhassan, Ada De La Osa, John Stephen, Yue Yao, Diana J. Wilkie   +5 more
wiley   +1 more source

Fusing Object Information and Inertial Data for Activity Recognition

Sensors, 2019
In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction sensors ...
Alexander Diete, Heiner Stuckenschmidt
doaj   +1 more source

Sensor-Based Activity Recognition and Artificial Intelligence

This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024.

core   +1 more source

Structural and functional relationship between the receptor recognition and neuraminidase activities of the Newcastle disease virus hemagglutinin-neuraminidase protein: Receptor recognition is dependent on neuraminidase activity [PDF]

, 2001
The terminal globular domain of the paramyxovirus hemagglutinin-neuraminidase (HN) glycoprotein spike has a number of conserved residues that are predicted to form its neuraminidase (NA) active site, by analogy to the influenza virus neuraminidase ...
Paul J. Mahon, Deng, R.T., Jennifer M. Sauvron, Langedijk, J.P., Anne M. Mirza, Gisela M. Field, Johannes P. Langedijk, Sauvron, J.M., Iorio, R.M., Field, G.M., Ruitang Deng, Mirza, A.M., Mahon, P.J., Ronald M. Iorio   +13 more
core   +1 more source

Lorlatinib‐Containing Therapy for MYCN‐Amplified, ALK‐Mutated Neuroblastoma With Bulky Leptomeningeal Relapse: A Case Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Central nervous system (CNS) relapse of neuroblastoma carries a poor prognosis, and craniospinal irradiation (CSI) poses substantial long‐term toxicity in young children. We report a toddler with MYCN‐amplified neuroblastoma harboring somatic ALK R1275Q who developed extensive leptomeningeal relapse with paraplegia.
Jinwoo Kim, Minji Kim, Nani Jung, Sung Eun Kim, Ji Yoon Kim, Mi Ae Chu, Jung Eun Kwon, Yeo Hyang Kim, So Mi Lee, Ki‐Su Park, Jeong Eun Lee, Ye Jee Shim   +11 more
wiley   +1 more source

Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

Sensors, 2018
With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments.
Eliasz Kańtoch
doaj   +1 more source

Uncovering Inequities: The Role of Social Determinants of Health in Hospitalized Adolescents and Young Adults With Heavy Menstrual Bleeding

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres, Cristina Tarango, Ashley Childress, Chunyan Liu, Evan Thomas, Jennifer Pomales, Eric S. Mullins   +6 more
wiley   +1 more source