Results 21 to 30 of about 596,618 (263)
In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics ...
Hunmin Lee +4 more
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Animal cognition research often involves small and idiosyncratic samples. This can constrain the generalizability and replicability of a study’s results and prevent meaningful comparisons between samples.
Benjamin G. Farrar +2 more
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Person, population, mechanism. A rejoinder to critics and an elaboration of the three-branch model
In a previous paper (Lundh, 2023), it was argued that psychological science can be seen as having three main branches, corresponding to three levels of research: research at the person level, at the population level, and at the mechanism level.
Lars-Gunnar Lundh
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In the presence of heterogeneity between the randomized controlled trial (RCT) participants and the target population, evaluating the treatment effect solely based on the RCT often leads to biased quantification of the real-world treatment effect.
Lee Dasom, Yang Shu, Wang Xiaofei
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Remotely sensed nighttime light data have become vital for electrification mapping in data-scarce regions. However, uncertainty persists regarding the veracity of these electrification maps.
Tunmise Raji +2 more
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ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
Machine learning (ML) has transformed various sectors, including healthcare, by enabling the extraction of complex knowledge and predictions from vast datasets.
Firas Ketata +3 more
doaj +1 more source
On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja’s Algorithm
The Oja's algorithm is widely applied for computing principal eigenvectors in real problems, and it is practically useful to understand the theoretical relationships between the learning rate, convergence rate, and generalization error of this algorithm ...
Xiangxiang Xu, Shao-Lun Huang
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ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source

