0000000000894552

AUTHOR

Peter Richmond

showing 5 related works from this author

Is there an infant mortality in bacteria?

2021

This manuscript proposes a significant step in our long-run investigation of infant mortality across species. Since 2016 (Berrut et al. 2016) a succession of studies (Bois et al. 2019) have traced infant mortality from organisms of high complexity (e.g. mammals) down to unicellular organisms. Infant mortality may be considered as a filtering process through which organisms with potentially lethal congenital defects are eliminated. Such defects may have many causes but here we focus particularly on mishaps resulting from non-optimal conditions in the production of proteins, enzymes and other crucial macromolecules. The statistical signature of infant mortality consists in a falling age-speci…

Biological Physics (physics.bio-ph)FOS: Biological sciencesCell Behavior (q-bio.CB)Quantitative Biology - Cell BehaviorFOS: Physical sciencesPhysics - Biological Physics
researchProduct

Infant mortality across species. A global probe of congenital abnormalities

2019

Infant mortality, by which we understand the postnatal stage during which mortality is declining, is a manifestation and embodiment of congenital abnormalities. Severe defects will translate into death occurring shortly after birth whereas slighter anomalies may contribute to death much later, possibly only in adult age. While for many species birth defects would be nearly impossible to identify, infant mortality provides a convenient global assessment. In the present paper we examine a broad range of species from mammals to fish to gastropods to insects. One of the objectives of our comparative analysis is to test a conjecture suggested by reliability engineering according to which the fre…

Statistics and Probability[PHYS]Physics [physics]Range (biology)Mortality rateFOS: Physical sciencesStatistical and Nonlinear PhysicsPostnatal StageBiology01 natural sciencesAdult ageQuantitative Biology - Quantitative MethodsInfant mortality010305 fluids & plasmas3. Good healthBiological Physics (physics.bio-ph)FOS: Biological sciences0103 physical sciencesFish <Actinopterygii>Physics - Biological Physics010306 general physicsQuantitative Methods (q-bio.QM)Demography
researchProduct

Safety and Immunogenicity of a Vero Cell Culture-Derived Whole-Virus Influenza A(H5N1) Vaccine in a Pediatric Population

2013

BACKGROUND: Children are highly vulnerable to infection with novel influenza viruses. It is essential to develop candidate pandemic influenza vaccines that are safe and effective in the pediatric population. METHODS: Infants and children aged 6-35 months and 3-8 years, respectively, were randomized to receive 2 immunizations with a 7.5-µg or 3.75-µg hemagglutinin (HA) dose of a nonadjuvanted whole-virus A/Vietnam(H5N1) vaccine; adolescents aged 9-17 years received a 7.5-µg dose only. A subset of participants received a booster immunization with an A/Indonesia(H5N1) vaccine approximately 1 year later. HA and neuraminidase antibody responses were assessed. RESULTS: Vaccination was safe and we…

H5N1 vaccinebiologybusiness.industryImmunogenicityvirus diseasesmedicine.disease_causeVirologyInfluenza A virus subtype H5N1VaccinationInfectious DiseasesImmunizationPandemicmedicinebiology.proteinImmunology and AllergybusinessNeuraminidaseHeterosubtypic immunityJournal of Infectious Diseases
researchProduct

Congenital anomalies from a physics perspective. The key role of "manufacturing" volatility

2020

Genetic and environmental factors are traditionally seen as the sole causes of congenital anomalies. In this paper we introduce a third possible cause, namely random "manufacturing" discrepancies with respect to ``design'' values. A clear way to demonstrate the existence of this component is to ``shut'' the two others and to see whether or not there is remaining variability. Perfect clones raised under well controlled laboratory conditions fulfill the conditions for such a test. Carried out for four different species, the test reveals a variability remainder of the order of 10%-20% in terms of coefficient of variation. As an example, the CV of the volume of E.coli bacteria immediately after…

[PHYS]Physics [physics]Statistics and ProbabilityMortality ratePerspective (graphical)FOS: Physical sciencesCongenital malformationsCondensed Matter Physics01 natural sciencesQuantitative Biology - Quantitative MethodsInfant mortality[PHYS] Physics [physics]010305 fluids & plasmasTurn offBiological Physics (physics.bio-ph)FOS: Biological sciences0103 physical sciencesStatisticsMutation (genetic algorithm)Physics - Biological PhysicsVolatility (finance)010306 general physicsEarly phaseQuantitative Methods (q-bio.QM)
researchProduct

Transient frailty induced by cell division. Observation, reasons and implications

2021

We know that stress-factors, e.g. X-rays, have an effect on cells that is more lethal in rapid exponential growth than in stationary phase. It is this effect which makes radiotherapy effective in cancer treatment. This stress effect can be explained in two ways: (a) more vulnerability in the growth phase, (b) improved protection capacity and repair mechanisms in the stationary phase. Although the two explanations do not exclude each other, they are very different in the sense that (a) is a general mechanism whereas (b) is strain and stress-factor dependent. In this paper we explore major facets of (a). Firstly, we emphasize that (a) can account for known experimental stress-factor evidence.…

Biological Physics (physics.bio-ph)FOS: Biological sciencesCell Behavior (q-bio.CB)FOS: Physical sciencesQuantitative Biology - Cell BehaviorPhysics - Biological Physics
researchProduct