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1. Psychological Profiling of Hacking Potential

   Gaia, J ; Ramamurthy, B ; Sanders, G ; Sanders, S ; Upadhyaya, S ; Wang, X ; Yoo, C ( January 2020 , Proceedings of the 53rd Hawaii International Conference on System Sciences)

   This paper investigates the psychological traits of individuals’ attraction to engaging in hacking behaviors (both ethical and illegal/unethical)upon entering the workforce.We examine the role of the Dark Triad, Opposition to Authority and Thrill-Seeking traits as regards the propensity of an individual to be interested in White Hat, Black Hat,and Grey Hat hacking. A new set of scales were developed to assist in the delineation of the three hat categories. We also developed a scale to measure each subject’s perception of the probability of being apprehended for violating privacy laws. Engaging in criminal activity involves a choice where there are consequences and opportunities, and individuals perceive them differently, but they can be deterred if there is a likelihood of punishment,and the punishment is severe. The results suggest that individuals that are White Hat, Grey Hat and Black Hat hackers score high on the Machiavellian and Psychopathy scales. We also found evidence that Grey Hatters oppose authority, Black Hatters score high on the thrill-seeking dimension and White Hatters, the good guys, tend to be Narcissists. Thrill-seeking was moderately important for White Hat hacking and Black hat hacking. Opposition to Authority was important for Grey Hat hacking. Narcissism was not statistically significant in any of the models. The probability of being apprehended had a negative effect on Grey Hat and Black Hat hacking. Several suggestions will be made on what organizations can do to address insider threats. 

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2. An inverse latitudinal gradient in infection probability and phylogenetic diversity for Leucocytozoon blood parasites in New World birds

   https://doi.org/10.1111/1365-2656.13117  

   Fecchio, Alan ; Bell, Jeffrey A. ; Bosholn, Mariane ; Vaughan, Jefferson A. ; Tkach, Vasyl V. ; Lutz, Holly L. ; Cueto, Victor R. ; Gorosito, Cristian A. ; González‐Acuña, Daniel ; Stromlund, Chad ; et al ( October 2019 , Journal of Animal Ecology)

   Geographic variation in environmental conditions as well as host traits that promote parasite transmission may impact infection rates and community assembly of vector‐transmitted parasites.

   Identifying the ecological, environmental and historical determinants of parasite distributions and diversity is therefore necessary to understand disease outbreaks under changing environments. Here, we identified the predictors and contributions of infection probability and phylogenetic diversity ofLeucocytozoon(an avian blood parasite) at site and species levels across the New World.

   To explore spatial patterns in infection probability and lineage diversity forLeucocytozoonparasites, we surveyed 69 bird communities from Alaska to Patagonia. Using phylogenetic Bayesian hierarchical models and high‐resolution satellite remote‐sensing data, we determined the relative influence of climate, landscape, geography and host phylogeny on regional parasite community assembly.

   Infection rates and parasite diversity exhibited considerable variation across regions in the Americas. In opposition to the latitudinal gradient hypothesis, both the diversity and prevalence ofLeucocytozoonparasites decreased towards the equator. Host relatedness and traits known to promote vector exposure neither predicted infection probability nor parasite diversity. Instead, the probability of a bird being infected withLeucocytozoonincreased with increasing vegetation cover (NDVI) and moisture levels (NDWI), whereas the diversity of parasite lineages decreased with increasing NDVI. Infection rates and parasite diversity also tended to be higher in cooler regions and higher latitudes.

   Whereas temperature partially constrainsLeucocytozoondiversity and infection rates, landscape features, such as vegetation cover and water body availability, play a significant role in modulating the probability of a bird being infected. This suggests that, forLeucocytozoon, the barriers to host shifting and parasite host range expansion are jointly determined by environmental filtering and landscape, but not by host phylogeny. Our results show that integrating host traits, host ancestry, bioclimatic data and microhabitat characteristics that are important for vector reproduction are imperative to understand and predict infection prevalence and diversity of vector‐transmitted parasites. Unlike other vector‐transmitted diseases, our results show thatLeucocytozoondiversity and prevalence will likely decrease with warming temperatures.

    

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3. Survival by genotype: patterns at Mc1r are not black and white at the W hite S ands ecotone

   https://doi.org/10.1111/mec.13894  

   Des Roches, S. ; Sollmann, R. ; Calhoun, K. ; Rothstein, A. P. ; Rosenblum, E. B. ( November 2016 , Molecular Ecology)

   Measuring links among genotype, phenotype and survival in the wild has long been a focus of studies of adaptation. We conducted a 4‐year capture–recapture study to measure survival by genotype and phenotype in the Southwestern Fence Lizard (Sceloporus cowlesi) at the White Sands ecotone (transition area between white sands and dark soil habitats). We report several unanticipated findings. First, in contrast with previous work showing that cryptic blanched coloration inS. cowlesifrom the heart of the dunes is associated with mutations in the melanocortin‐1 receptor gene (Mc1r), ecotonalS. cowlesishowed minimal association between colour phenotype andMc1rgenotype. Second, the frequency of the derivedMc1rallele in ecotonalS. cowlesiappeared to decrease over time. Third, our capture–recapture data revealed a lower survival rate forS. cowlesiindividuals with the derivedMc1rallele. Thus, our results suggest that selection at the ecotone may have favoured the wild‐type allele in recent years. Even in a system where a genotype–phenotype association appeared to be black and white, our study suggests that additional factors – including phenotypic plasticity, epistasis, pleiotropy and gene flow – may play important roles at the White Sands ecotone. Our study highlights the importance of linking molecular, genomic and organismal approaches for understanding adaptation in the wild. Furthermore, our findings indicate that dynamics of natural selection can be particularly complex in transitional habitats like ecotones and emphasize the need for future research that examines the patterns of ongoing selection in other ecological ‘grey’ zones.

    

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4. Diversifying Large-Scale Participatory Science: The Efficacy of Engagement through Facilitator Organizations

   https://doi.org/10.5334/cstp.627  

   Lin Hunter, Danielle ; Johnson, Valerie ; Cooper, Caren ( January 2023 , Citizen Science: Theory and Practice)

   Large-scale, scientist-led, participatory science (citizen science) projects often engage participants who are primarily white, wealthy, and well-educated. Calls to diversify contributory projects are increasingly common, but little research has evaluated the efficacy of suggested strategies for diversification. We engaged participants in Crowd the Tap through facilitator organizations like historically Black colleges and universities (HBCUs), predominantly white institutions, high school science classrooms, and corporate volunteer programs. Crowd the Tap is a contributory project focused on identifying and addressing lead (Pb) contamination in household drinking water in the United States. We investigated how participant diversity with respects to race, ethnicity, and homeownership (a proxy for income) differed between participation facilitated through a partner organization and unfacilitated participation in which participants came to the project independently. We were also interested in which facilitators were most effective at increasing participant diversity. White and wealthy participants were overrepresented in unfacilitated participation. Facilitation helped increase engagement of people of color, especially Black and lower-income households. High schools were particularly effective at engaging Hispanic or Latinx participants, and HBCUs were important for engaging Black households. Ultimately, our results suggest that engagement through facilitator organizations may be an effective means of engaging diverse participants in large-scale projects. Our results have important implications for the field of participatory science as we seek to identify evidence-based strategies for diversifying project participants.

    

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5. Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population

   https://doi.org/10.1093/jamia/ocac062  

   Hao, Boran ; Hu, Yang ; Sotudian, Shahabeddin ; Zad, Zahra ; Adams, William G. ; Assoumou, Sabrina A. ; Hsu, Heather ; Mishuris, Rebecca G. ; Paschalidis, Ioannis C. ( May 2022 , Journal of the American Medical Informatics Association)

   To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes, elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness using a racially diverse patient population with high social needs.

   Data included 7,102 patients with positive (RT-PCR) severe acute respiratory syndrome coronavirus 2 test at a safety-net system in Massachusetts. Linear and nonlinear classification methods were applied. A score based on a recurrent neural network and a transformer architecture was developed to capture the dynamic evolution of vital signs. Combined with patient characteristics, clinical variables, and hospital occupancy measures, this dynamic vital score was used to train predictive models.

   Hospitalizations can be predicted with an area under the receiver-operating characteristic curve (AUC) of 92% using symptoms, hospital occupancy, and patient characteristics, including social determinants of health. Parsimonious models to predict intensive care, mechanical ventilation, and mortality that used the most recent labs and vitals exhibited AUCs of 92.7%, 91.2%, and 94%, respectively. Early predictive models, using labs and vital signs closer to admission had AUCs of 81.1%, 84.9%, and 92%, respectively.

   The most accurate models exhibit racial bias, being more likely to falsely predict that Black patients will be hospitalized. Models that are only based on the dynamic vital score exhibited accuracies close to the best parsimonious models, although the latter also used laboratories.

   This large study demonstrates that COVID-19 severity may accurately be predicted using a score that accounts for the dynamic evolution of vital signs. Further, race, social determinants of health, and hospital occupancy play an important role.

    

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