Results 31 to 40 of about 1,882,582 (293)

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez   +13 more
wiley   +1 more source

Log-linear learning model for predicting a steady-state manual assembly time

open access: yesNonlinear Analysis, 2014
This paper presents the method for estimating the parameters of a two parameter learning curve (LC). Different values of parameters and different sample sizes are used for this estimation.
Vytautas Kleiza, Justinas Tilindis
doaj   +1 more source

Improved Bounds for 3SUM, $k$-SUM, and Linear Degeneracy [PDF]

open access: yes, 2017
Given a set of $n$ real numbers, the 3SUM problem is to decide whether there are three of them that sum to zero. Until a recent breakthrough by Gr{\o}nlund and Pettie [FOCS'14], a simple $\Theta(n^2)$-time deterministic algorithm for this problem was ...
Gold, Omer, Sharir, Micha
core   +2 more sources

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

open access: yesPediatric Blood &Cancer, EarlyView.
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

Wireless Network Stability in the SINR Model

open access: yes, 2012
We study the stability of wireless networks under stochastic arrival processes of packets, and design efficient, distributed algorithms that achieve stability in the SINR (Signal to Interference and Noise Ratio) interference model.
A. Dimakis   +5 more
core   +1 more source

Lempel-Ziv Factorization May Be Harder Than Computing All Runs [PDF]

open access: yes, 2014
The complexity of computing the Lempel-Ziv factorization and the set of all runs (= maximal repetitions) is studied in the decision tree model of computation over ordered alphabet.
Kosolobov, Dmitry
core   +3 more sources

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

open access: yesPediatric 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

Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach

open access: yesBMC Bioinformatics, 2005
Background In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and within library variation.
Kepler Thomas B, Tomfohr John K, Lu Jun
doaj   +1 more source

Stable pairs and log flips

open access: yes, 1997
This paper has two parts. In the first part, we review stable pairs and triples on curves, leading up to Thaddeus' diagram of flips and contractions starting from the blow-up of projective space along a curve embedded by a complete linear series of the ...
Bertram, Aaron
core   +2 more sources

Building Morphological Chains for Agglutinative Languages [PDF]

open access: yes, 2017
In this paper, we build morphological chains for agglutinative languages by using a log-linear model for the morphological segmentation task. The model is based on the unsupervised morphological segmentation system called MorphoChains.
B Can   +4 more
core   +2 more sources

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