Results 41 to 50 of about 603,733 (222)

GNN-Based Building Structure Characterization Framework for Seismic Risk Assessment

open access: yesInternational Journal of Disaster Risk Science
Building structure characteristics are essential for seismic risk assessment and management. However, accurately classifying building structural types at the city scale remains challenging due to limited data availability, spatial heterogeneity, and the ...
Jian Ma   +5 more
doaj   +1 more source

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata   +9 more
wiley   +1 more source

Development and validation of a risk prediction model for chronic kidney disease among individuals with type 2 diabetes

open access: yesScientific Reports, 2022
Many studies had established the chronic kidney disease (CKD) prediction models, but most of them were conducted on the general population and not on patients with type 2 diabetes, especially in Asian populations.
Cheng-Chieh Lin   +6 more
doaj   +1 more source

Alveolar Soft Part Sarcoma in Pediatric and Young Adult Patients: A Report From the Children's Oncology Group Study ARST0332

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane   +11 more
wiley   +1 more source

Accurate cell type annotation for single‐cell chromatin accessibility data via contrastive learning and reference guidance

open access: yesQuantitative Biology
Recent advances in single‐cell chromatin accessibility sequencing (scCAS) technologies have resulted in new insights into the characterization of epigenomic heterogeneity and have increased the need for automatic cell type annotation.
Siyu Li   +5 more
doaj   +1 more source

Using Deep Learning for Flexible and Scalable Earthquake Forecasting

open access: yesGeophysical Research Letters, 2023
Seismology is witnessing explosive growth in the diversity and scale of earthquake catalogs. A key motivation for this community effort is that more data should translate into better earthquake forecasts. Such improvements are yet to be seen.
Kelian Dascher‐Cousineau   +3 more
doaj   +1 more source

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez   +14 more
wiley   +1 more source

The myelin water imaging transcriptome: myelin water fraction regionally varies with oligodendrocyte-specific gene expression

open access: yesMolecular Brain
Identifying sensitive and specific measures that can quantify myelin are instrumental in characterizing microstructural changes in neurological conditions. Neuroimaging transcriptomics is emerging as a valuable technique in this regard, offering insights
Jaimie J. Lee   +6 more
doaj   +1 more source

Parent Quality of Life at Two Years Following Their Child's Completion of Acute Lymphoblastic Leukemia Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra   +3 more
wiley   +1 more source

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

open access: yesAdvanced Electronic Materials
Data quality, feature interpretability, and model generalization are critical and challenging for applying machine learning (ML) in the design of high‐efficiency materials.
Yuqing Sun   +4 more
doaj   +1 more source

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