Results 41 to 50 of about 4,393,923 (290)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Dimension reduction of high-dimensional dataset with missing values
Journal of Algorithms & Computational Technology, 2019 Nowadays, datasets containing a very large number of variables or features are routinely generated in many fields. Dimension reduction techniques are usually performed prior to statistically analyzing these datasets in order to avoid the effects of the ...
Ran Zhang, Bin Ye, Peng Liu
doaj +1 more source
Structure adaptive approach for dimension reduction [PDF]
, 2000 We propose a new method of effective dimension reduction for a multi-index model which is based on iterative improvement of the family of average derivative estimates.
Juditsky, Anatoli +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
Energies, 2023 Since P.O. Fanger proposed PMV, it has been the most widely used index to estimate thermal comfort. However, in some cases, it is challenging to measure all six parameters within indoor spaces, which are essential for PMV estimation; a couple of ...
Kyung-Yong Park, Deok-Oh Woo
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Dimensionality Reduction Mappings [PDF]
, 2011 A wealth of powerful dimensionality reduction methods has been established which can be used for data visualization and preprocessing. These are accompanied by formal evaluation schemes, which allow a quantitative evaluation along general principles and ...
Hammer, Barbara ; https://orcid.org/ +12 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Reduction of Chern-Simons-Schrödinger Systems in One Space Dimension
Journal of Applied Mathematics, 2013 We study Chern-Simons-Schrödinger systems in one space dimension. We show that Chern-Simons-Schrödinger and 𝒩=2 supersymmetric Chern-Simons-Schrödinger equations can be reduced, under the gauge condition A1≡0, to equations of ϕ, ψ only which are coupled ...
Hyungjin Huh
doaj +1 more source
A selective overview of sparse sufficient dimension reduction
Statistical Theory and Related Fields, 2020 High-dimensional data analysis has been a challenging issue in statistics. Sufficient dimension reduction aims to reduce the dimension of the predictors by replacing the original predictors with a minimal set of their linear combinations without loss of ...
Lu Li, Xuerong Meggie Wen, Zhou Yu
doaj +1 more source