Results 31 to 40 of about 20,827,425 (307)

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges, Kelly A. Duffy, Sara McDonough, Evelyn Kurpiewski, R. Jennifer Randall, Allison Barz Leahy, Haley M. Newman, Joyce P. Lee, Stephen P. Hunger, Anne F. Reilly, David T. Teachey, Susan R. Rheingold, Daniel J. Zheng   +12 more
wiley   +1 more source

Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level

Algorithms, 2018
The ability to learn robust, resizable feature representations from unlabeled data has potential applications in a wide variety of machine learning tasks. One way to create such representations is to train deep generative models that can learn to capture
Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis   +3 more
doaj   +1 more source

Rainforests : seqüència didàctica per l'aula AICLE inclusiva [PDF]

, 2006
La Seqüència Didàctica Rainforests va ser dissenyada i experimentada per l'equip col·laboratiu CLIL-SI dins dels projectes ARIE2004-00058 i ARIE2005-10056 (ArtICLE), finançats pel DURSI (Generalitat de Catalunya). El treball de disseny i recerca a l'aula
CLILSI, Content and Language Integrated Learning. Semiimmersió, Universitat Autònoma de Barcelona. Facultat de Ciències de l'Educació   +2 more
core   +1 more source

Replica Placement on Bounded Treewidth Graphs

, 2017
We consider the replica placement problem: given a graph with clients and nodes, place replicas on a minimum set of nodes to serve all the clients; each client is associated with a request and maximum distance that it can travel to get served and there ...
B Saha, H Bodlaender, J Chuzhoy, K Kalpakis, M Kao, Optimal allocation of electronic content, U Feige   +6 more
core   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Front Matters

REID (Research and Evaluation in Education), 2016
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(Cover, Foreword, Table of Content) -
doaj   +1 more source

A Feature Optimization Approach Based on Inter-Class and Intra-Class Distance for Ship Type Classification

Sensors, 2020
Deep learning based methods have achieved state-of-the-art results on the task of ship type classification. However, most existing ship type classification algorithms take time–frequency (TF) features as input, the underlying discriminative information ...
Chen Li, Ziyuan Liu, Jiawei Ren, Wenchao Wang, Ji Xu   +4 more
doaj   +1 more source

Design and construction of the IMACS-IFU, a 2000-element integral field unit

, 2004
The IMACS-IFU is an Integral Field Unit built for the IMACS spectrograph at the Magellan-I-Telescope at Las Campanas Observatory. It consists of two rectangular fields of 5 by 7 arcseconds, separated by roughly one arcminute.
Allington-Smith, J. R., Content, R., Dodsworth, G. N., Schmoll, J.   +3 more
core   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Continuous speech recognition by convolutional neural networks

工程科学学报, 2015
Convolutional neural networks (CNNs), which show success in achieving translation invariance for many image processing tasks, were investigated for continuous speech recognition.
ZHANG Qing-qing, LIU Yong, PAN Jie-lin, YAN Yong-hong   +3 more
doaj   +1 more source