Results 31 to 40 of about 3,243,952 (257)
: The study investigated the validation of a rating scale to measure cognitive load in science teacher education. The rating scale was used to measure three types of cognitive load in a new learning context with 81 undergraduate students enrolled in a ...
Venance Timothy +4 more
doaj +1 more source
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent and ...
Lucas Rizzo +3 more
doaj +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Time series classification is a challenging research area where machine learning and deep learning techniques have shown remarkable performance. However, often, these are seen as black boxes due to their minimal interpretability.
Ephrem Tibebe Mekonnen +4 more
doaj +1 more source
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Computational Argumentation and Automatic Rule-Generation for Explainable Data-Driven Modeling
The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance, and policy making. Rule-based systems are widely regarded as a
Luca Longo +3 more
doaj +1 more source
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 +2 more
wiley +1 more source
Electroencephalography (EEG) offers millisecond-level resolution of brain activity. However, its clinical utility is limited by artefacts and its non-linear and non-stationary characteristics.
Takafumi Nakanishi, Luca Longo
doaj +1 more source

