Results 61 to 70 of about 2,501,945 (313)
Derivation and testing of a model to predict selection for fungicide resistance [PDF]
, 2011 A mathematical model was derived to predict selection for fungicide resistance in foliar pathogens of cereal crops. The model was tested against independent data from four field experiments quantifying selection for the G143A mutation conferring ...
Fraaije, B. A. +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Study of Electrolytic Capacitors Model Selection and Heat Sinking
机车电传动, 2017 The main reason of the heat was analyzed and a method to reduce the temperature rise of electrolytic capacitors was proposed. Through the analysis of the electrolytic capacitors’ internal structure, the cooling effect of common cooling methods was ...
HUANG Nan, SHAO Qiang, WANG Shiping
doaj
Model Selection Techniques: An Overview [PDF]
IEEE Signal Processing Magazine, 2018 In the era of big data, analysts usually explore various statistical models or machine learning methods for observed data in order to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates. Model selection is
Jie Ding 0002 +2 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke +4 more
wiley +1 more source
Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures
Applied Sciences, 2022 Handwritten character recognition is a computer-vision-system problem that is still critical and challenging in many computer-vision tasks. With the increased interest in handwriting recognition as well as the developments in machine-learning and deep ...
Waleed Albattah, Saleh Albahli
doaj +1 more source
A COMPETITIVE SELECTION MODEL [PDF]
Genetics, 1973 ABSTRACT The proportionate contribution of a genotype to the next generation is not independent of frequency and cannot always safely be equated with a constant. Survival potential (Haldane's viability) permits the use of a genetic selection model which deals more realistically with competition. A broader property than survival potential,
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Sociobiology, 2013 We assessed the effect of conditions and resources on the species richness of epigaeic ants in a cloud forest of the Ibitipoca State Park, Brazil. We hypothesized that the characteristics that are best related with the epigaeic microhabitat affects ant ...
Antonio Cesar Medeiros de Queiroz +2 more
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A New Motion Model Selection Approach for Multi-Model Particle Filters [PDF]
Radioengineering, 2019 One of the important factors in real-time tracking of the moving radar targets is the speed of the algorithm. In the multi-model particle filters (MMPFs) which is frequently preferred tracking of such targets, the numbers of particles and motion models ...
M. B. Ucar, D. Yilmaz
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