Notes

Planning host-microbe co-metabolism throughout skin aging as well as application in order to metagenomics data.
Parents' perceived social isolation was associated with parental report of changes in discipline, specifically, using discipline and spanking more often in the past 2 weeks. Associations were robust to analyses that included two variables that assessed days spent social distancing and days spent in "lockdown." Study results point to the need for mental health supports to parents and children to ameliorate the strain created by COVID-19.In the indoor environment of dental clinics, dental staff and patients are exposed to various types of infectious agents transported by aerosols and particles, generated during dental procedures, promoting an increased risk of cross-infection. The aim of this study was to determine the levels and diversity of microbial aerosol in relation to particle load in five different departments of a dental school clinic. The air samples were collected by an active single-stage Andersen sampler during the treatment procedure. The mean concentrations of airborne bacteria were in the range of 52-1030 and 8-844 CFU/m3 at the distances of 0.5 and 2 m, respectively. Bacterial aerosols in pediatric, endodontics, and restorative wards and fungal aerosols in all the sampling wards were significantly higher at the distances of 0.5 m. The dominant bacteria and fungi were identified as Micrococcus, Bacillus, Streptococcus, Staphylococcus, Penicillium, Cladosporium, Aspergillus, Rhizopus, and Alternaria. The positive associations were also obtained between bacteria and fungi levels and particulate matter (PM) concentrations.The liquid impingers can be used for sampling of viral aerosols, such as COVID-19 virus, influenza, and measles. However, the lowest cutoff diameter of commercially available liquid impingers was about 0.3 μm, and the physical collection efficiency for nano-bioaerosol is only about 10-20%. Here, we enhanced the impinger's collection efficiency and recovery of viable viral aerosols by using packed glass beads and selected sampling media (1% peptone and lysogeny broth, LB). Single-stranded RNA (ssRNA) MS2 bacteriophage with uranine (as a physical tracer) was used as model viral aerosols. CTPI2 The effects of different sampling flow rates (4, 6, and 12.5 L per minute) and different sampling time (10, 20, and 30 min) on the collection efficiency and recovery of MS2 aerosols were also tested. Collection efficiency and recovery of viable viral aerosols were analyzed as a function of sampling media, flow rate, and sampling time and packed glass beads by using a general linear model. Although the packed glass beads considerably enhanced the collection efficiency of the liquid impinger for MS2 aerosols, the recovery of viable MS2 becomes lower due to the higher pressure drop across the impinger. Using peptone or LB as sampling media, reducing sampling flow rate, and decreasing sampling time was proven to improve the recovery of viable MS2. Conclusively, this study provides some practical methods to improve the collection efficiency of liquid impinger for viral aerosols and preserve their viability.Real estate platforms provide a new source of data which has already been used as a substitute for transaction data in hedonic regression applications. This paper asks whether it is valid to do so in the established research areas of (1) willingness to pay estimation, (2) automated valuations, and (3) price index construction. It therefore compares listings and transaction data and regression results derived from them. We find that ask prices stochastically dominate sale prices, mainly because the composition of characteristics differs between the two data sets. But estimates of implicit prices also differ. As a result, willingness to pay estimates from listings data can be widely off when compared with estimates from transaction data. Listings data are not very useful to predict market values of individual houses either, as these predictions suffer from upward bias and large error variance. We find, however, that an ask price index complements a sale price index, as it is useful for nowcasting.
The online version contains supplementary material available at 10.1007/s00181-020-01992-3.
The online version contains supplementary material available at 10.1007/s00181-020-01992-3.A right to family privacy is considered a cornerstone of American life, and yet access to it is apportioned by race. Our notion of the "racialization of privacy" refers to the phenomenon that family privacy, including the freedom to create a family uninhibited by law, pressure, and custom, is delimited by race. Building upon racial formation theory, this article examines three examples the Native American boarding school system (1870s to 1970s), eugenic laws and practices (early/mid 1900s), and contemporary deportation. Analysis reveals that state-sponsored limitations on family privacy is a racial project that shapes the racial state. Performing an ideological genealogy with our cases, this article makes three contributions it illustrates how the state leverages policies affecting families to define national belonging; it reveals how access to family privacy is patterned by race, ethnicity, gender, class, sexuality, and national origin; and it distills how Whiteness and a national racial hierarchy are socially constructed and maintained over time. With the racialization of privacy, we identify how the state seeks to reproduce institutionalized White supremacy and the effects this has on families. We argue that families are the linchpin in state-sponsored racial projects that construct the nation and that the racialization of privacy, as a form of inequality, is a defining characteristic of the color-line.This paper examines the extent to which herding and feedback trading behaviors drive price dynamics across nine major cryptocurrencies. Using sample price data from bitcoin, ethereum, XRP, bitcoin cash, EOS, litecoin, stellar, cardano and IOTA, respectively, we document heterogeneity in the types of feedback trading strategies investors utilize across markets. Whereas some cryptocurrency markets show evidence of herding, or, 'trend chasing', behaviors, in other markets we show evidence of contrarian-type behaviors. These findings are important because they elucidate upon, firstly, what forces drive cryptocurrency markets and, secondly, how this type of trading behavior affects autocorrelation patters for cryptocurrencies. Finally, and from our intertemporal asset pricing model, we shed new light on the observed nature of the risk-return tradeoffs for each of our sampled cryptocurrencies.
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