Results 51 to 60 of about 1,005,829 (270)
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
An ILP-Assisted Two-Stage Layout Optimization Method for Satellite Payload Placement
In the satellite overall design phase, it is a crucial step to perform satellite layout design to guarantee that the aggregation of electronic components can operate normally and stably in an appropriate temperature environment.
Xiaoqian Chen +4 more
doaj +1 more source
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
In this paper, we consider the problem of subspace clustering in presence of contiguous noise, occlusion and disguise. We argue that self-expressive representation of data in current state-of-the-art approaches is severely sensitive to occlusions and ...
Abdolali, Maryam, Rahmati, Mohammad
core +1 more source
A search algorithm for a class of optimal finite-precision controller realization problems with saddle points [PDF]
With game theory, we review the optimal digital controller realization problems that maximize a finite word length (FWL) closed-loop stability measure.
Chen, S., Chu, J., Li, G., Wu, J.
core +1 more source
A machine learning approach to two-stage adaptive robust optimization
We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-now decisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimal wait-and-see decisions into ...
Dimitris Bertsimas, Cheol Woo Kim
openaire +2 more sources
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu +20 more
wiley +1 more source
In practical applications, the multidisciplinary dynamic system design optimization (MDSDO)-based solution is limited by uncertainty, which causes random variation in the physical design variable in the static discipline and the equation of state in the ...
Li Lu, Yizhong Wu, Qi Zhang, Ping Qiao
doaj +1 more source
New method and algorithm of three-dimensional turbine guide blade rim optimization [PDF]
The new method and algorithm of three-dimensional turbine guide blade rim optimization were proposed using CFD-calculations, guide blade deformation and reasonable computation time consuming optimization approach.
Boiko, Anatoli +2 more
core +1 more source
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source

