Results 91 to 100 of about 10,049,409 (261)

Abatacept for Prophylaxis of Acute and Chronic Graft‐Versus‐Host‐Disease in Children Undergoing Allogeneic Hematopoietic Stem Cell Transplantation—A Systematic Review and Meta‐Analysis of Cohort Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga, Anne B. Verbeek, Caroline A. Lindemans, Emilie P. Buddingh   +3 more
wiley   +1 more source

A General Route of Using Lignite Depolymerized Derivatives for Catalyst Construction: Insights into the Effects of the Derivative Structures and Solvents

ACS Omega, 2021
Jianxiu Hao, Limin Han, Keli Yang, Na Li, Runxia He, Keduan Zhi, Quansheng Liu   +6 more
doaj   +1 more source

Techno-economic analysis of carbon-based additives and process optimization for enhanced hydrogen production in integrated pyrolysis/gasification and carbon capture systems

Journal of CO2 Utilization
Overexploitation of fossil fuels leads to issues of energy security and environmental pollution. Integrating carbon capture and utilisation (CCU) with biomass and waste plastics pyrolysis/gasification offers a promising route for simultaneous hydrogen ...
Wenxin Lu, Yuxing Ding, Zhaoxi Dong, Xin Peng, Yue Chai, Dunfeng Xiao, Yurong Liu, Feng Qian, Iqbal M. Mujtaba   +8 more
doaj   +1 more source

Bone and Soft Tissue Neoplasms in Infants Versus Older Children: A Report From the Cancer in Young People in Canada Program

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Rebecca J. Deyell, Lesleigh Abbott, Tony H. Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +21 more
wiley   +1 more source

Reusability Investigation of a Ruthenium Catalyst during Ruthenium Ion-Catalyzed Oxidative Depolymerization of Lignite for the Production of Valuable Organic Acids

ACS Omega, 2021
Xuefeng Yao, Xiaolu Wang, Yuxin Chen, Lu Zhang, Quansheng Liu, Runxia He, Huacong Zhou, Xingshun Cong   +7 more
doaj   +1 more source

Impact of Initial Treatment Setting on Survival in Relapsed Pediatric and AYA Bone Sarcomas: A Secondary Analysis of a Prospective Clinical Trial

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak, Katarzyna Bilska, Tomasz Koziński, Jadwiga Węcławek‐Tompol, Dorota Sega‐Pondel, Radosław Chaber, Wanda Badowska, Katarzyna Rosłan, Hanna Koseła‐Paterczyk, Anna Raciborska   +9 more
wiley   +1 more source

Algorithms and literate programs for weighted low-rank approximation with missing data

, 2011
Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan
core  

Randomized methods for dynamical low-rank approximation

We introduce novel dynamical low-rank methods for solving large-scale matrix differential equa- tions, motivated by algorithms from randomized numerical linear algebra.
Carrel, Benjamin
core   +1 more source

Locality constrained low-rank sparse learning for object tracking

, 2015
In this paper, we present a locality constrained low rank sparse learning algorithm for object tracking under the particle filter framework. Locality should be as important as the sparsity.
Fan BJ(范保杰), Baojie Fan, Tang YD(唐延东), Yandong Tang   +3 more
core   +1 more source

Combined subspace low rank learning and nonlocal low rank estimation for spectral super-resolution of multispectral remote sensing images

International Journal of Digital Earth
Spectral Super-Resolution (SR) of Multispectral Images (MSI) enhances spectral resolution in MSI's non-overlapping regions by utilizing the overlapping regions with Hyperspectral Images (HSI).
Jun Zhou, Weiwei Sun, Xiangchao Meng, Gang Yang, Binjie Chen, Kai Ren   +5 more
doaj   +1 more source