2,303 research outputs found
Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying
Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a robust while computationally efficient process of matching feature descriptors for image-to-image querying in standards datasets. For this purpose, Scale Invariant Feature Transform (SIFT) descriptors have been matched using our presented algorithm, followed by the computation of our related similarity measure. This approach has shown excellent performance in both retrieval accuracy and speed
Gametocytes infectiousness to mosquitoes: variable selection using random forests, and zero inflated models
Malaria control strategies aiming at reducing disease transmission intensity
may impact both oocyst intensity and infection prevalence in the mosquito
vector. Thus far, mathematical models failed to identify a clear relationship
between Plasmodium falciparum gametocytes and their infectiousness to
mosquitoes. Natural isolates of gametocytes are genetically diverse and
biologically complex. Infectiousness to mosquitoes relies on multiple
parameters such as density, sex-ratio, maturity, parasite genotypes and host
immune factors. In this article, we investigated how density and genetic
diversity of gametocytes impact on the success of transmission in the mosquito
vector. We analyzed data for which the number of covariates plus attendant
interactions is at least of order of the sample size, precluding usage of
classical models such as general linear models. We then considered the variable
importance from random forests to address the problem of selecting the most
influent variables. The selected covariates were assessed in the zero inflated
negative binomial model which accommodates both over-dispersion and the sources
of non infected mosquitoes. We found that the most important covariates related
to infection prevalence and parasite intensity are gametocyte density and
multiplicity of infection
Under Deconstruction: High Maintenance Required
University of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/156384/1/Under_Deconstruction_.pd
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Profile of tildrakizumab-asmn in the treatment of moderate-to-severe plaque psoriasis: evidence to date.
Plaque psoriasis is an immune-mediated skin disease that affects roughly 3% of adults in the United States. Advances over the past 20 years in understanding the immune-mediated pathophysiology of psoriasis have led to the development of targeted biologic therapies for this condition. Currently, biologic medications approved for the treatment of plaque psoriasis include tumor necrosis factor α inhibitors, interleukin (IL)-17 or IL-17 receptor inhibitors, IL-12/23 inhibitors, and IL-23 inhibitors. Tildrakizumab-asmn is a monoclonal antibody that targets the p19 subunit of IL-23 and is approved for use in adult patients with moderate-to-severe plaque psoriasis who are candidates for systemic therapy or phototherapy. This article reviews the current pharmacologic, efficacy, and safety data on tildrakizumab-asmn
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Predictors of paternal nurturance as a function of father\u27s personal attributes, caregiving experience, and sociocultural factors
Child development--Father\u27s personality--Early child-care experience of fathers--Playfulness--Employment--Marriage status--Psychological support--Middle-class fathers
Deconstructing Interrupts with Ara
The emulation of DHTs is a natural issue. After years of important research into lambda calculus, we demonstrate the refinement of multicast frameworks. In order to answer this challenge, we disprove that despite the fact that spreadsheets and kernels are mostly incompatible, 128 bit architectures and active networks are regularly incompatible
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