Results 51 to 60 of about 18,405,059 (322)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard +11 more
wiley +1 more source
Improving the objective function in minimum error rate training [PDF]
, 2009 In Minimum Error Rate Training (MERT), the parameters of an SMT system are tuned on a certain evaluation metric to improve translation quality. In this paper, we present empirical results in which parameters tuned on one metric (e.g.
He, Yifan, Way, Andy
core +2 more sources
Investigation on Performance of Neural Networks Using Quadratic Relative Error Cost Function
IEEE Access, 2019 The performance of neural networks with quadratic cost function (MSE cost function) is analyzed in terms of the adjustment rate of weights and its performance in multi-magnitude data processing using a qualitative mathematical method based on mean ...
Ning Zhang +3 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell +14 more
wiley +1 more source
Optimal inequalities for the convex combination of error function
, 2015 For λ ∈ (0,1) and x,y > 0 we obtain the best possible constants p and r , such that erf(Mp(x,y;λ)) λ erf(x)+(1−λ) erf(y) erf(Mr(x,y;λ)) where erf(x) = 2 √π ∫ x 0 e −tdt and Mp(x,y;λ) = (λxp + (1− λ)yp)1/p(p = 0) , M0(x,y;λ) = xλ y1−λ are error function ...
W. Xia, Yuming Chu
semanticscholar +1 more source
Dopamine neurons share common response function for reward prediction error
Nature Neuroscience, 2016 Dopamine neurons are thought to signal reward prediction error, or the difference between actual and predicted reward. How dopamine neurons jointly encode this information, however, remains unclear. One possibility is that different neurons specialize in
N. Eshel +3 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
Self testing and repairing computer - A concept [PDF]
, 1970 STAR computer has five redundant modular function units, fixed store, arithmetic, memory, input, and output. Each unit is connected to a diagnostic control unit, each is coded for error detection and error correction.
Avizienis, A. A.
core +1 more source
Deriving a New Divergence Measure from Extended Cross-Entropy Error Function
, 2015 Relative entropy is a divergence measure between two probability density functions of a random variable. Assuming that the random variable has only two alphabets, the relative entropy becomes a cross-entropy error function that can accelerate training ...
Sang-Hoon Oh +6 more
semanticscholar +1 more source