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Stop struggling and start learning today with thousands of free resources! Mark favorite.Notice of late claim Notice of late claim. A claimant who fails to file notice of his claim within 90 days as provided in section of this act, may, in the discretion of a judge of the Superior Court, be permitted to file such notice at any time within one year after the accrual of his claim provided that the public entity or the public employee has not been substantially prejudiced thereby.

Application to the court for permission to file a late notice of claim shall be made upon motion supported by affidavits based upon personal knowledge of the affiant showing sufficient reasons constituting extraordinary circumstances for his failure to file notice of claim within the period of time prescribed by section of this act or to file a motion seeking leave to file a late notice of claim within a reasonable time thereafter; provided that in no event may any suit against a public entity or a public employee arising under this act be filed later than two years from the time of the accrual of the claim.

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Severe acute respiratory syndrome coronavirus 2 is the causative agent of the ongoing coronavirus disease pandemic. Initial estimates of the early dynamics of the outbreak in Wuhan, China, suggested a doubling time of the number of infected persons of 6—7 days and a basic reproductive number R 0 of 2.

We collected extensive individual case reports across China and estimated key epidemiologic parameters, including the incubation period 4. We then designed 2 mathematical modeling approaches to infer the outbreak dynamics in Wuhan by using high-resolution domestic travel and infection data.

Results show that the doubling time early in the epidemic in Wuhan was 2.

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Assuming a serial interval of 6—9 days, we calculated a median R 0 value of 5. We further show that active surveillance, contact tracing, quarantine, and early strong social distancing efforts are needed to stop transmission of the virus. On January 8,the pathogen was identified 1and human-to-human transmission was reported soon after. In a period of 3 months, an outbreak of apparent idiopathic pneumonia had become the COVID pandemic.

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Studying dynamics of a newly emerged and rapidly growing infectious disease outbreak, such as COVID, is important but challenging because of the limited amount of data available.

In addition, unavailability of diagnostic reagents early in the outbreak, changes in surveillance intensity and case definitions, and overwhelmed healthcare systems confound estimates of the growth of the outbreak based on data.

Initial estimates of the exponential growth rate of the outbreak were 0. These estimates were based on 2 broad strategies. First, Li et al. However, case count data can be confounded by reservoir spillover events, stochasticities in the initial phase of the outbreak, and low surveillance intensity.

The epidemic curve based on symptom onset after January 4 showed a very different growth rate 6. Second, inference was performed by using international flight data and infected persons reported outside of China 3 — 5. Because of the low numbers of persons traveling abroad compared with the total population size in Wuhan, this approach leads to substantial uncertainties 78.

Inferences based on a low number of observations are prone to measurement error when data are incomplete or model assumptions are not fully justified; both conditions are common challenges associated with rapid and early outbreak analyses of a new pathogen. We collected an expanded set of case reports across China on the basis of publicly available information, estimated key epidemiologic parameters, and provided a new estimate of the early epidemic growth rate and R 0 in Wuhan.

Our approaches are based on integration of high-resolution domestic travel data and early infection data reported in provinces other than Hubei to infer outbreak dynamics in Wuhan.

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They are designed to be less sensitive to biases and confounding factors in the data and model assumptions. Without directly using case confirmation data in Wuhan, we avoid the potential biases in reporting and case confirmation in Wuhan, whereas because of the high level of domestic travel before the Lunar New Year in China, inference based on these data minimizes uncertainties and risk for potential misspecifications and biases in data and model assumptions.

We developed 2 modeling approaches to infer the growth rate of the outbreak in Wuhan from data from provinces other than Hubei.

In the first model, the first arrival model, we computed the likelihood of the arrival times of the first known cases in provinces outside of Hubei as a function of the exponential growing population of infected persons in Wuhan before late January.

This calculation involved using domestic travel data to compute the probability that an infected person traveled from Wuhan to a given province as a function of the unknown actual number of infected persons in Wuhan and the probability that they traveled.

Refractive index

The timings of the arrivals of the first infected persons in different provinces would reflect the rate of the epidemic growth in Wuhan. In the second model, the case count model, we accounted for the detection of additional persons who were infected in Wuhan and received their diagnoses in other provinces and explicitly modeled those persons by using a hybrid deterministic—stochastic SEIR susceptible-exposed-infectious-recovered model.

We then fitted this model to new daily case count data reported outside Hubei Province during the period before substantial transmission occurred outside of the province. By using data collected outside Hubei Province, we minimized the effect of changes in surveillance intensity.

By the time cases were confirmed in provinces outside Hubei, all of the provinces of China had access to diagnostic kits and were engaging in active surveillance of travelers out of Wuhan e.In opticsthe refractive index also known as refraction index or index of refraction of a material is a dimensionless number that describes how fast light travels through the material.

It is defined as. For example, the refractive index of water is 1. Increasing refractive index corresponds to decreasing speed of light in the material. The refractive index determines how much the path of light is bent, or refractedwhen entering a material.

The refractive indices also determine the amount of light that is reflected when reaching the interface, as well as the critical angle for total internal reflectiontheir intensity Fresnel's equations and Brewster's angle. As a result, the perceived color of the refracted light to a human eye which depends on the frequency is not affected by the refraction or the refractive index of the medium.

The refractive index varies with wavelength, this causes white light to split into constituent colors when refracted.

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This is called dispersion. It can be observed in prisms and rainbowsand as chromatic aberration in lenses. Light propagation in absorbing materials can be described using a complex -valued refractive index. For most materials the refractive index changes with wavelength by several percent across the visible spectrum. Nevertheless, refractive indices for materials are commonly reported using a single value for ntypically measured at nm.

The concept of refractive index applies within the full electromagnetic spectrumfrom X-rays to radio waves. It can also be applied to wave phenomena such as sound. In this case the speed of sound is used instead of that of light, and a reference medium other than vacuum must be chosen. The phase velocity is the speed at which the crests or the phase of the wave moves, which may be different from the group velocitythe speed at which the pulse of light or the envelope of the wave moves.

The definition above is sometimes referred to as the absolute refractive index or the absolute index of refraction to distinguish it from definitions where the speed of light in other reference media than vacuum is used.

Thomas Young was presumably the person who first used, and invented, the name "index of refraction", in The ratio had the disadvantage of different appearances. Newtonwho called it the "proportion of the sines of incidence and refraction", wrote it as a ratio of two numbers, like " to " or "nearly 4 to 3"; for water. Young did not use a symbol for the index of refraction, in For visible light most transparent media have refractive indices between 1 and 2. A few examples are given in the adjacent table.

These values are measured at the yellow doublet D-line of sodiumwith a wavelength of nanometersas is conventionally done. Almost all solids and liquids have refractive indices above 1.

Aerogel is a very low density solid that can be produced with refractive index in the range from 1. Most plastics have refractive indices in the range from 1.

For infrared light refractive indices can be considerably higher.

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Moreover, topological insulators are transparent when they have nanoscale thickness. These properties are potentially important for applications in infrared optics. According to the theory of relativityno information can travel faster than the speed of light in vacuum, but this does not mean that the refractive index cannot be less than 1. The refractive index measures the phase velocity of light, which does not carry information.

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This can occur close to resonance frequenciesfor absorbing media, in plasmasand for X-rays.All rights reserved About Us. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Advance Local.

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