Results 41 to 50 of about 4,495,422 (287)

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware   +13 more
wiley   +1 more source

The impact of text availability on task-demands understanding and question-answering in multiple-document reading

open access: yesFrontiers in Education
In this study, we examined how first-year undergraduates understood and represented a set of questions that they were asked to answer based on three texts about advertising.
Mariola Giménez-Salvador   +2 more
doaj   +1 more source

Application of Task-Aligned Model Based on Defect Detection

open access: yesAutomation, 2023
In recent years, with the rise of the automation wave, reducing manual judgment, especially in defect detection in factories, has become crucial. The automation of image recognition has emerged as a significant challenge.
Ming-Hung Hung   +2 more
doaj   +1 more source

New Uses for Sensitivity Analysis: How Different Movement Tasks Effect Limb Model Parameter Sensitivity [PDF]

open access: yes, 1984
Original results for a newly developed eight-order nonlinear limb antagonistic muscle model of elbow flexion and extension are presented. A wider variety of sensitivity analysis techniques are used and a systematic protocol is established that shows how ...
Stark, L., Winters, J. M.
core   +1 more source

Unheard and Under‐Supported: Health‐Related Quality of Life in Children, Adolescents, and Young Adults With Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia   +7 more
wiley   +1 more source

Fully Learnable Model for Task-Driven Image Compressed Sensing

open access: yesSensors, 2021
This study primarily investigates image sensing at low sampling rates with convolutional neural networks (CNN) for specific applications. To improve the image acquisition efficiency in energy-limited systems, this study, inspired by compressed sensing ...
Bowen Zheng   +3 more
doaj   +1 more source

Collaborative Task Modelling on the Web [PDF]

open access: yes, 2016
Task modelling is a widely recognized activity when designing interactive applications. In this perspective, it is the meeting point between various stakeholders. However, most of the automatic environments that currently allow task modelling only support single users, thus limiting the possible interactions and discussions amongst them.
Manca M, Paternò F, Santoro C
openaire   +3 more sources

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij   +11 more
wiley   +1 more source

A Novel Multi-Task Performance Prediction Model for Spark

open access: yesApplied Sciences, 2023
Performance prediction of Spark plays a vital role in cluster resource management and system efficiency improvement. The performance of Spark is affected by several variables, such as the size of the input data, the computational power of the system, and
Chao Shen, Chen Chen, Guozheng Rao
doaj   +1 more source

Multi-task Proteochemometric Modelling [PDF]

open access: yes, 2022
Motivation: In silico prediction of protein-ligand binding is a hot topic in computational chemistry and machine learning-based drug discovery, as an accurate prediction model could reduce the time and resources required to detect and identify and prioritize potential drug candidates.
Pentina, Anastasia, Clevert, Djork-Arné
openaire   +1 more source

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