Results 41 to 50 of about 81,834 (245)
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
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Random time-series model identification from binary-valued observations and quantized measurements [PDF]
Archives of Control SciencesIn the paper, two algorithms that allow identification of a parametric models of random time-series from binary-valued observations of their realizations, as well as from quantized measurements of their values, are proposed.
Jarosław Figwer
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Applications of Parametric Searching in Geometric Optimization
Journal of Algorithms, 1994 Summary: We present several applications in computational geometry of Megiddo's parametric searching technique. These applications include: (1) finding the minimum Hausdorff distance in the Euclidean metric between two polygonal regions under translation; (2) computing the biggest line segment that can be placed inside a simple polygon; (3) computing ...
Agarwal, Pankaj K. +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
The comparison of three risk assessment models based on cadmium exposure level in rice
Zhongguo shipin weisheng zazhi, 2022 ObjectiveThe advantages and disadvantages of three statistical models commonly used in food contaminant exposure assessment， namely the observed individual means （OIM） model， the beta-abinomial and normal （BBN） model and the non-parametric model were ...
LIU Jialin +3 more
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Minimax Parametric Optimization Problems and Multidimensional Parametric Searching
Interdisciplinary Information Sciences, 2001 Summary: The parametric minimax problem, which finds the parameter value minimizing the weight of a solution of a combinatorial maximization problem, is a fundamental problem in sensitivity analysis. Moreover, several problems in computational geometry can be formulated as parametric minimax problems.
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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Non-parametric policy search with limited information loss [PDF]
, 2017 Learning complex control policies from non-linear and redundant sensory input is an important challenge for reinforcement learning algorithms. Non-parametric methods that approximate values functions or transition models can address this problem, by adapting to the complexity of the data set. Yet, many current non-parametric approaches rely on unstable
Herke van Hoof +2 more
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FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees
MathematicsGreedy search (GS) or exhaustive search plays a crucial role in decision trees and their various extensions. We introduce an alternative splitting method called smooth sigmoid surrogate (SSS) in which the indicator threshold function used in GS is ...
Xiaogang Su +7 more
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