Results 41 to 50 of about 764,096 (293)

Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness

Science China Information Sciences
Adversarial robustness, which primarily comprises sensitivity-based robustness and spatial robustness, plays an integral part in achieving robust generalization. In this paper, we endeavor to design strategies to achieve universal adversarial robustness.
Sun, Ke, Li, Mingjie, Lin, Zhouchen
openaire   +2 more sources

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

How robust are findings of pairwise and network meta-analysis in the presence of missing participant outcome data?

BMC Medicine, 2021
Background To investigate the prevalence of robust conclusions in systematic reviews addressing missing (participant) outcome data via a novel framework of sensitivity analyses and examine the agreement with the current sensitivity analysis standards ...
Loukia M. Spineli, Chrysostomos Kalyvas, Katerina Papadimitropoulou   +2 more
doaj   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Design of a microelectromechanical systems resonant electric field sensor with sensitivity robustness

Advances in Mechanical Engineering, 2015
Studies indicate that driving circuit and drift error in resonance frequency influence the sensitivity of micromechanical resonant electric field sensors. This study proposes an electric field sensor with a comb structure for driving and sensing.
Heng Liu, Jia-qi Xu, Feng Xiong, Rui-li Meng   +3 more
doaj   +1 more source

The impact of FASTQ and alignment read order on structural variant calling from long-read sequencing data [PDF]

PeerJ
Background Structural variant (SV) calling from DNA sequencing data has been challenging due to several factors, including the ambiguity of short-read alignments, multiple complex SVs in the same genomic region, and the lack of “truth” datasets for ...
Kyle J. Lesack, James D. Wasmuth
doaj   +2 more sources

Sustained TNF-α stimulation leads to transcriptional memory that greatly enhances signal sensitivity and robustness

eLife, 2020
Transcriptional memory allows certain genes to respond to previously experienced signals more robustly. However, whether and how the key proinflammatory cytokine TNF-α mediates transcriptional memory are poorly understood.
Zuodong Zhao, Zhuqiang Zhang, Jingjing Li, Qiang Dong, Jun Xiong, Yingfeng Li, Mengying Lan, Gang Li, Bing Zhu   +8 more
doaj   +1 more source

The Influence of Canalization on the Robustness of Boolean Networks

, 2016
Time- and state-discrete dynamical systems are frequently used to model molecular networks. This paper provides a collection of mathematical and computational tools for the study of robustness in Boolean network models.
Albert, Balleza, Boccaletti, Boppana, C. Kadelka, Cook, Davidich, Derrida, Derrida, Dimitrova, Drossel, Fretter, He, J. Kuipers, Jansen, Jarrah, Karlsson, Kauffman, Kauffman, Kauffman, Kauffman, Kauffman, Kitano, Kochi, Layne, Li, Li, Liu, Marques-Pita, Murrugarra, Murrugarra, Nykter, R. Laubenbacher, Shmulevich, Shmulevich, Strogatz, Thomas, Waddington   +37 more
core   +1 more source

Probabilistic sensitivity analysis of biochemical reaction systems [PDF]

, 2009
Sensitivity analysis is an indispensable tool for studying the robustness and fragility properties of biochemical reaction systems as well as for designing optimal approaches for selective perturbation and intervention. Deterministic sensitivity analysis
Dempsey, William P., Goutsias, John, Zhang, Hong-Xuan   +2 more
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
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, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source