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This supplemental file lists the primer sequences and synthetic positives used in this study. The purpose of this study was to test Blacklegged Ticks in Northeast Pennsylvania for SARS-CoV-2., This study was directly funded by the Dr. Jane Huffman Wildlife Genetics Institute of East Stroudsburg University, without a grant.

The United States and Mexico have seen significant increases in the prevalence of substance use among Latinx adolescents in the last 20 years. Research is needed to address rising national rates of substances use to inform the development of policies and intervention programs targeting Latinx youth. Our primary aim was to identify demographic factors associated with substance initiation and use among elementary age Latinx youth. Data for the present study include 52,171 elementary students in 5th and 6th grades, who participated in the National Survey of Drug Use Among Students (ENCODE) in Mexico. Youths reported demographic information, rates of substance use for alcohol, tobacco, marijuana, inhalant, and other substances, or intention for first time substance use. Findings suggest that Latinx youth who were boys, of indigenous heritage, nonreligious, and overage for their grade were especially at risk for reporting lifetime alcohol, tobacco, marijuana, inhalant, and other substance use. Boys and youth with indigenous heritage were more likely to report intentions to try alcohol, tobacco, and other substances for the first time. High subjective economic status was associated with lower risk for reporting lifetime tobacco use and substance use intentions in general. Efforts are needed to disseminate accessible substance use prevention programs during early adolescence to encourage positive developmental trajectories among Latinx youths at an elevated risk for substance initiation and use. Clinical and research implications are discussed.

The present study explored how motor cortical activity was influenced by visual perception of complex environments that either afforded or obstructed arm and leg reactions in young, healthy adults. Most importantly, we focused on compensatory balance reactions where the arms were required to regain stability following unexpected postural perturbation. Our first question was if motor cortical activity from the hand area automatically corresponds to the visual environment. Affordance-based priming of the motor system was assessed using single-pulse Transcranial Magnetic Stimulation (TMS) to determine if visual access to a wall-mounted support handle influenced corticospinal excitability. We evaluated if hand actions were automatically facilitated and/or suppressed by viewing an available handle within graspable range. Our second question was if the requirement for rapid movement to recover balance played a role in modulating any affordance effect in the hands. The goal was to disentangle motor demands related to postural threat from the impact of observation alone. For balance trials, a custom-built, lean and release apparatus was used to impose temporally unpredictable postural perturbations. In all balance trials, perturbations were of sufficient magnitude to evoke a compensatory change-in-support response; therefore, any recovery action needed to carefully take into account the affordances and constraints of the perceived environment to prevent a fall. Consistent with our first hypothesis, activity in an intrinsic hand muscle was increased when participants passively viewed a wall-mounted safety handle, in both seated and standing contexts. Contrary to our second hypothesis, this visual priming was absent when perturbations were imposed and the handle was needed to regain balance. Our results reveal that motor set is influenced by simply viewing objects that afford a grasp. We suggest that such preparation may provide an advantage when generating balance recovery actions that require quickly grasping a supportive handle. This priming effect likely competes with other task-dependent influences that regulate cortical motor output. Future studies should expand from limitations inherent with single-pulse TMS alone, to determine if vision of our surrounding world influences motor set in other contexts (e.g., intensified postural threat) and investigate if this priming corresponds to overt behavior.

Every day, traditional statistical methodology are used world wide to study a variety of topics and provides insight regarding countless subjects. Each technique is based on a distinct set of assumptions to ensure valid results. Additionally, many statistical approaches rely on large sample behavior and may collapse or degenerate in the presence of small, spare, or correlated data. This dissertation details several advancements to detect these conditions, avoid their consequences, and analyze data in a different way to yield trustworthy results. One of the most commonly used modeling techniques for outcomes with only two possible categorical values (eg. live/die, pass/fail, better/worse, ect.) is logistic regression. While some potential complications with this approach are widely known, many investigators are unaware that their particular data does not meet the foundational assumptions, since they are not easy to verify. We have developed a routine for determining if a researcher should be concerned about potential bias in logistic regression results, so they can take steps to mitigate the bias or use a different procedure altogether to model the data. Correlated data may arise from common situations such as multi-site medical studies, research on family units, or investigations on student achievement within classrooms. In these circumstance the associations between cluster members must be included in any statistical analysis testing the hypothesis of a connection be-tween two variables in order for results to be valid. Previously investigators had to choose between using a method intended for small or sparse data while assuming independence between observations or a method that allowed for correlation between observations, while requiring large samples to be reliable. We present a new method that allows for small, clustered samples to be assessed for a relationship between a two-level predictor (eg. treatment/control) and a categorical outcome (eg. low/medium/high).