Combating the Consequences of COVID-19 Misinformation: Comparative Analysis Among Adolescents

The subject of media literacy among adolescents is particularly relevant due to the rapid dissemination of information online, the lack of media literacy education in secondary curricula on Long Island, New York, and the prevalence of social media in the twenty-first century. This study looks at the effect of COVID-19 misinformation on the believability, level of concern, and mood of high school and middle school students on Long Island, New York in 2021. This study included high school and middle school students from four Long Island school districts. Students were given a survey that included three misinformation sources, a concern level scale, and a mood scale. As a result of this investigation, a comparative analysis of student data was compiled. While middle school students had higher believability rates than high school students, resulting in negative mood changes and high concern levels, high school students also demonstrated high levels of believability of the COVID-19 misinformation, resulting in negative mood changes and high concern levels. Early adolescent media literacy education is critical to avoiding the unpleasant mood changes and increased concern levels caused by the high believability of COVID-19 misinformation. This study demonstrates that, just as we discovered during the pandemic how critical it is to stop virus transmission, it is also critical to stop the spread of misinformation about COVID-19. Both put people in danger. Combating the negative effects of COVID-19 misinformation necessitates media literacy education.

Serial tellers

In the 1970s two alleged hauntings received wide coverage in the media. The first was in Amityville, Long Island (New York), and the second in Enfield, a London neighborhood. These cases were narrated in best-selling books, turned into horror films (and, in the case of Enfield, also a TV mini-series), and became the subject of countless documentaries trying to find the truth behind the claims made by the victims. This chapter examines the ways in which these serialized documentaries seek to either confirm or debunk the presence of the supernatural in these cases. Seeing them as an example of the non-indexical documentary, but also of horror, the chapter considers how serialization and repetition compensate for the absence of visible evidence, making these endlessly repeated stories feel at once real and artificial.

Detecting inbreeding depression in a severely bottlenecked, recovering species: The little spotted kiwi (Apteryx owenii)

<p>Population bottlenecks reduce genetic variation and population size. Small populations are at greater risk of inbreeding, which further erodes genetic diversity and can lead to inbreeding depression. Inbreeding depression is known to increase extinction risk. Thus, detecting inbreeding depression is important for population viability assessment and conservation management. However, identifying inbreeding depression in wild populations is challenging due to the difficulty of obtaining long-term measures of fitness and error-free measures of individual inbreeding coefficients. I investigated inbreeding depression and our power to detect it in species that have very low genetic variation, using little spotted kiwi (Apteryx owenii) (LSK) as a case study. This endemic New Zealand ratite experienced a bottleneck of, at most, five individuals ~100 years ago and has since been subjected to secondary bottlenecks as a result of introductions to new predator-free locations. There is no behavioural pedigree data available for any LSK population and the status of the species is monitored almost exclusively via population growth. I conducted two seasons of field work to determine hatching success in the two LSK populations with the highest and lowest numbers of founders; Zealandia Sanctuary (40 founders) and Long Island (two founders). I also used simulation-based modelling to assess the feasibility of reconstructing pedigrees based on individual genotypes from LSK populations to calculate pedigree inbreeding coefficients. Finally, I used microsatellite genotypes to measure the genetic erosion in successive filial groupings of Long Island and Zealandia LSK as a result of their respective bottlenecks, and tested for inbreeding depression on Long Island. Hatching success was significantly lower on Long Island than in Zealandia in both years of the study despite significantly higher reproductive effort on Long Island. Although this was suggestive of inbreeding depression on Long Island, simulation results showed that constructing a pedigree for any LSK population based on the genetic markers and samples currently available would lead to inaccurate pedigrees and invalid estimates of individual inbreeding coefficients. Thus, an alternative method of detecting inbreeding and inbreeding depression was required. Microsatellite data showed continued loss of heterozygosity in both populations, but loss of allelic diversity on Long Island only. Individual genotypes indicated that the majority (74%) of the adult Long Island population is comprised of the founding pair (F) and their direct offspring (F1) rather than birds from subsequent generations (F2+). This is not what would be expected if survival was equal between these two filial classes. I suggest that the high levels of inbreeding (≥0.25) in F2+ birds is impacting on their survival, creating a demographic skew in the population and resulting in lower hatching success on average on Long Island when compared to the relatively outbred Zealandia birds. This inbreeding depression appears to have been masked, thus far, by positive population growth on Long Island resulting from the long life span of LSK (27-83 years) and continued reproductive success of the founding pair. Thus, it is likely that the Long Island population will go into decline when the founding pair cease to reproduce. This study highlights the challenges of measuring inbreeding depression in species with very low genetic variation and the importance of assessing the statistical power and reliability of the genetic tools available for those species. It also demonstrates that basic genetic techniques can offer valuable insight when more advanced tools prove error-prone. Monitoring vital rates such as hatching success in conjunction with genetic data is important for assessing the success of conservation translocations and detecting potentially cryptic genetic threats such as inbreeding depression. My results suggest that LSK are being affected by inbreeding depression and that careful genetic management will be required to ensure the long-term viability of this species.</p>

Detecting inbreeding depression in a severely bottlenecked, recovering species: The little spotted kiwi (Apteryx owenii)

<p>Population bottlenecks reduce genetic variation and population size. Small populations are at greater risk of inbreeding, which further erodes genetic diversity and can lead to inbreeding depression. Inbreeding depression is known to increase extinction risk. Thus, detecting inbreeding depression is important for population viability assessment and conservation management. However, identifying inbreeding depression in wild populations is challenging due to the difficulty of obtaining long-term measures of fitness and error-free measures of individual inbreeding coefficients. I investigated inbreeding depression and our power to detect it in species that have very low genetic variation, using little spotted kiwi (Apteryx owenii) (LSK) as a case study. This endemic New Zealand ratite experienced a bottleneck of, at most, five individuals ~100 years ago and has since been subjected to secondary bottlenecks as a result of introductions to new predator-free locations. There is no behavioural pedigree data available for any LSK population and the status of the species is monitored almost exclusively via population growth. I conducted two seasons of field work to determine hatching success in the two LSK populations with the highest and lowest numbers of founders; Zealandia Sanctuary (40 founders) and Long Island (two founders). I also used simulation-based modelling to assess the feasibility of reconstructing pedigrees based on individual genotypes from LSK populations to calculate pedigree inbreeding coefficients. Finally, I used microsatellite genotypes to measure the genetic erosion in successive filial groupings of Long Island and Zealandia LSK as a result of their respective bottlenecks, and tested for inbreeding depression on Long Island. Hatching success was significantly lower on Long Island than in Zealandia in both years of the study despite significantly higher reproductive effort on Long Island. Although this was suggestive of inbreeding depression on Long Island, simulation results showed that constructing a pedigree for any LSK population based on the genetic markers and samples currently available would lead to inaccurate pedigrees and invalid estimates of individual inbreeding coefficients. Thus, an alternative method of detecting inbreeding and inbreeding depression was required. Microsatellite data showed continued loss of heterozygosity in both populations, but loss of allelic diversity on Long Island only. Individual genotypes indicated that the majority (74%) of the adult Long Island population is comprised of the founding pair (F) and their direct offspring (F1) rather than birds from subsequent generations (F2+). This is not what would be expected if survival was equal between these two filial classes. I suggest that the high levels of inbreeding (≥0.25) in F2+ birds is impacting on their survival, creating a demographic skew in the population and resulting in lower hatching success on average on Long Island when compared to the relatively outbred Zealandia birds. This inbreeding depression appears to have been masked, thus far, by positive population growth on Long Island resulting from the long life span of LSK (27-83 years) and continued reproductive success of the founding pair. Thus, it is likely that the Long Island population will go into decline when the founding pair cease to reproduce. This study highlights the challenges of measuring inbreeding depression in species with very low genetic variation and the importance of assessing the statistical power and reliability of the genetic tools available for those species. It also demonstrates that basic genetic techniques can offer valuable insight when more advanced tools prove error-prone. Monitoring vital rates such as hatching success in conjunction with genetic data is important for assessing the success of conservation translocations and detecting potentially cryptic genetic threats such as inbreeding depression. My results suggest that LSK are being affected by inbreeding depression and that careful genetic management will be required to ensure the long-term viability of this species.</p>

Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

Although air quality in the United States has improved remarkably in the past decades, ground-level ozone (O3) often rises in exceedance of the national ambient air quality standard in nonattainment areas, including the Long Island Sound (LIS) and its surrounding areas. Accurate prediction of high-ozone episodes is needed to assist government agencies and the public in mitigating harmful effects of air pollution. In this study, we have developed a suite of potential forecast improvements, including dynamic boundary conditions, rapid emission refresh and chemical data assimilation, in a 3 km resolution Community Multiscale Air Quality (CMAQ) modeling system. The purpose is to evaluate and assess the effectiveness of these forecasting techniques, individually or in combination, in improving forecast guidance for two major air pollutants: surface O3 and nitrogen dioxide (NO2). Experiments were conducted for a high-O3 episode (28–29 August 2018) during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign, which provides abundant observations for evaluating model performance. The results show that these forecast system updates are useful in enhancing the capability of this 3 km forecasting model with varying effectiveness for different pollutants. For O3 prediction, the most significant improvement comes from the dynamic boundary conditions derived from the NOAA operational forecast system, National Air Quality Forecast Capability (NAQFC), which increases the correlation coefficient (R) from 0.81 to 0.93 and reduces the root mean square error (RMSE) from 14.97 to 8.22 ppbv, compared to that with the static boundary conditions (BCs). The NO2 from all high-resolution simulations outperforms that from the operational 12 km NAQFC simulation, regardless of the BCs used, highlighting the importance of spatially resolved emission and meteorology inputs for the prediction of short-lived pollutants. The effectiveness of improved initial concentrations through optimal interpolation (OI) is shown to be high in urban areas with high emission density. The influence of OI adjustment, however, is maintained for a longer period in rural areas, where emissions and chemical transformation make a smaller contribution to the O3 budget than that in high-emission areas. Following the assessment of individual updates, the forecasting system is configured with dynamic boundary conditions, optimal interpolation of initial concentrations and emission adjustment, to simulate a high-ozone episode during the 2018 LISTOS field campaign. The newly developed forecasting system significantly reduces the bias of surface NO2 prediction. When compared with the NASA Langley GeoCAPE Airborne Simulator (GCAS) vertical column density (VCD), this system is able to reproduce the NO2 VCD with a higher correlation (0.74), lower normalized mean bias (40 %) and normalized mean error (61 %) than NAQFC (0.57, 45 % and 76 %, respectively). The 3 km system captures magnitude and timing of surface O3 peaks and valleys better. In comparison with lidar, O3 profile variability of the vertical O3 is captured better by the new system (correlation coefficient of 0.71) than by NAQFC (correlation coefficient of 0.54). Although the experiments are limited to one pollution episode over the Long Island Sound, this study demonstrates feasible approaches to improve the predictability of high-O3 episodes in contemporary urban environments.

Abiotic Aggregation of Organic Matter in Coastal and Estuarine Waters: Cases in the Eastern Long Island Sound, USA

Organic aggregates, which formed from small particles and dissolved material, were chemically characterized in the Long Island Sound coastal waters. In this study, six aggregation experiments were conducted on low-salinity samples (the Thames River, CT, USA; salinity of 6.3–6.8) and high-salinity samples (the coast of Avery Point, CT, USA; salinity of 21.4–26.7). Water samples were incubated on a roller table for two days under dark conditions to generate laboratory-made aggregates. Particulate organic carbon (POC) concentrations increased 5–39% after two days of rolling. A higher POC increase occurred in low-salinity samples. The concentrations of neutral aldoses and amino acids, as well as their C- and N-yields, decreased during the experiments (except for particulate hydrolysable amino acid in low-salinity samples), while bacterial abundance increased 50–476%, indicating microbial degradation of biologically labile organic matter. Particulate hydrolysable amino acid was preferentially preserved in P-limited systems. An enrichment factor analysis showed the preferential microbial degradation of particulate hydrolysable neutral aldose and glucose appeared as the most labile aldose. The increase in bulk POC and the decrease in the fraction of labile organic carbon (neutral aldose and amino acid) in the particulate phase resulted in an accumulation of uncharacterized (presumably more refractory) particulate organic matter.