“The Prediction of Fantasy Football”

In this paper, we consider the game fantasy football, which allows people to simulate being a National Football League team owner. Imaginary owners select from the best players in the NFL and compete on weekly basis based upon player performances on the field. Fantasy football has become popular over the years. In 2011, according to the Fantasy Sports Trade Association there were 35 million people that played fantasy sports online in the United States and Canada. The most major companies that use fantasy football are Yahoo, ESPN, and NFL, even though there are more platforms. Many people use these platforms to view NFL reporting, preseason rankings, player statistics, fantasy points projections, and expert opinions on drafts. Even though fantasy sports have increased over time and there are various of platforms to view stats and predictions, but there is no method that provides a strategy to predict the entire fantasy football league. During this project we will predict NFL players performance on the field and calculate their fantasy points for the next season using the Auto Regression Integrated Moving Average (ARIMA) models using players historical data. We will use the data from these predictions and an algebraic equation to rank players by overall fantasy prediction points for the 2020 fantasy draft

Feature Paperwork of Feature G1-G5 from Burns (8BR85)

This document contains the field notes taken during excavation of test unit G, pertaining to feature G1-G5. It is a scan of original paper documents generated in the field

Cherry Point exporting of coal on large ships, environmental impact assessment, Bellingham, WA

This Environmental Impact Assessment (EIA) is based on the State Environmental Policy Act (SEPA) requirements for any action that has a significant, adverse impact on the environment. These requirements are set forth in Chapter 197-11 of the Washington Administrative Code (WAC). The proposed action is to move up to 54 million metric tons per year of dry bulk commodities including coal requiring approximately 487 vessels (Panamax and Capesize class) per year, each at a length of 800 to 900 feet (GPT FAQ, 2011). At half-capacity one more vessel every other day would follow this shipping route and at full operational capacity about 1-2 vessels would call at the Gateway Pacific Terminal per day. Under this proposal, the immense size and weight of the ships combined with the storage methods of coal and bunker fuel will increase the possibility and severity of fire, explosions, and oil spills. Our alternative to the proposed action evaluates use of covered and well maintained conveyor belts for coal loading, treated ballast water, higher quality bunker fuel, covered coal storage on board ships, increased regulation and maintenance, increased tugboat use and increased U.S. coast guard (USCG) presence. The alternative would allow the coal to be transported while also minimizing the associated air pollution, water pollution, and accidents such as oil spills, fires, and collisions. Under the no action plan, the Cherry Point Coal Terminal proposal would not be approved and there would be no change in the current overseas transport of coal and other dry bulk commodities through Haro Strait from a proposed terminal at Cherry Poin

PopR: Software for Wildlife Managers

It is widely recognized that modern computer software makes wildlife management and research easier and allows increasingly complex tasks to become routine.  Unfortunately, data storage and reporting rarely keep pace with the rapid expansion of data analysis software.  Such disconnects in workflow can lead to missed opportunities where data are not used to their fullest extent and results are slow to emerge.  Here we present a server-based software system, PopR (https://popr.cfc.umt.edu), which merges wildlife management agency databases with state-of-the-art statistical software for real-time wildlife data analysis, population modeling and reporting.  The interface to PopR is a secure website allowing access from any location with internet access and from any platform (personal computer, smartphone, tablet, etc.).  PopR connects to remote data sources through an application program interface (API).  PopR implements Bayesian integrated population models (IPM) combining multiple data sources.  The IPM’s efficiently deal with limited data, overcome missing data and facilitate prediction with error.  PopR also implements individual data source analyses such as survival, sightability and herd composition, among others.  PopR modules are in development or in use in the states of Idaho, Montana and South Dakota where the software is used for a variety of species including deer, elk and mountain lions.  Finally, add-on applications include tools for defining biological populations, checking data integrity and eliciting expert opinion.  The PopR workflow management system promises to streamline data collection, automate routine analyses and generally save managers time while increasing inference from limited data

Multi-Modal Exercise Training and Protein-Pacing Enhances Physical Performance Adaptations Independent of Growth Hormone and BDNF but May Be Dependent on IGF-1 in Exercise-Trained Men

OBJECTIVE: Protein-pacing (P; 5-6meals/day @ 2.0g/kgBW/day) and multi-mode exercise (RISE; resistance, interval, stretching, endurance) training (PRISE) improves muscular endurance, strength, power and arterial health in exercise-trained women. The current study extends these findings by examining PRISE on fitness, growth hormone (GH), insulin-like growth factor-1 (IGF-1), and brain-derived neurotrophic factor (BDNF) response, cardiometabolic health, and body composition in exercise-trained men. DESIGN: Twenty active males (\u3e4daysexercise/week) completed either: PRISE (n=11) or RISE (5-6meals/day @ 1.0g/kgBW/day; n=9) for 12weeks. Muscular strength (1-repetition maximum bench and leg press, 1-RM BP, and 1-RM LP), endurance (sit-ups, SU; push-ups, PU), power (squat jump, SJ, and bench throw, BT), flexibility (sit-and-reach, SR), aerobic performance (5km cycling time-trial, TT), GH, IGF-1, BDNF, augmentation index, (AIx), and body composition, were assessed at weeks 0 (pre) and 13 (post). RESULTS:At baseline, no differences existed between groups except for GH (RISE, 230±13 vs. PRISE, 382±59pg/ml, p CONCLUSIONS: Exercise-trained men consuming a P diet combined with multi-component exercise training (PRISE) enhance muscular power, strength, aerobic performance, and flexibility which are not likely related to GH or BDNF but possibly to IGF-1 response

A dual-chamber method for quantifying the effects of atmospheric perturbations on secondary organic aerosol formation from biomass burning emissions

Biomass burning (BB) is a major source of atmospheric pollutants. Field and laboratory studies indicate that secondary organic aerosol (SOA) formation from BB emissions is highly variable. We investigated sources of this variability using a novel dual-smog-chamber method that directly compares the SOA formation from the same BB emissions under two different atmospheric conditions. During each experiment, we filled two identical Teflon smog chambers simultaneously with BB emissions from the same fire. We then perturbed the smoke with UV lights, UV lights plus nitrous acid (HONO), or dark ozone in one or both chambers. These perturbations caused SOA formation in nearly every experiment with an average organic aerosol (OA) mass enhancement ratio of 1.78 ± 0.91 (mean ± 1σ). However, the effects of the perturbations were highly variable ranging with OA mass enhancement ratios ranging from 0.7 (30% loss of OA mass) to 4.4 across the set of perturbation experiments. There was no apparent relationship between OA enhancement and perturbation type, fuel type, and modified combustion efficiency. To better isolate the effects of different perturbations, we report dual-chamber enhancement (DUCE), which is the quantity of the effects of a perturbation relative to a reference condition. DUCE values were also highly variable, even for the same perturbation and fuel type. Gas measurements indicate substantial burn-to-burn variability in the magnitude and composition of SOA precursor emissions, even in repeated burns of the same fuel under nominally identical conditions. Therefore, the effects of different atmospheric perturbations on SOA formation from BB emissions appear to be less important than burn-to-burn variability

Sophia Academy Roof Garden

Concept: The Bay Taking inspiration from the water around Rhode Island, washed wood decking appears as water with the surrounding plants as the shore. Includes pergola, gathering spaces and vegetable garden

Migratory shorebird adheres to Bergmann’s Rule by responding to environmental conditions through the annual lifecycle

The inverse relationship between body size and environmental temperature is a widespread ecogeographic pattern. However, the underlying forces that produce this pattern are unclear in many taxa. Expectations are particularly unclear for migratory species, as individuals may escape environmental extremes and reorient themselves along the environmental gradient. In addition, some aspects of body size are largely fixed while others are environmentally flexible and may vary seasonally. Here, we used a long-term dataset that tracked multiple populations of the migratory piping plover Charadrius melodus across their breeding and non-breeding ranges to investigate ecogeographic patterns of phenotypically flexible (body mass) and fixed (wing length) size traits in relation to latitude (Bergmann’s Rule), environmental temperature (heat conservation hypothesis), and migratory distance. We found that body mass was correlated with both latitude and temperature across the breeding and non-breeding ranges, which is consistent with predictions of Bergmann’s Rule and heat conservation. However, wing length was correlated with latitude and temperature only on the breeding range. This discrepancy resulted from low migratory connectivity across seasons and the tendency for individuals with longer wings to migrate farther than those with shorter wings. Ultimately, these results suggest that wing length may be driven more by conditions experienced during the breeding season or tradeoffs related to migration, whereas body mass is modified by environmental conditions experienced throughout the annual lifecycle

Migratory shorebird adheres to Bergmann’s Rule by responding to environmental conditions through the annual lifecycle

The inverse relationship between body size and environmental temperature is a widespread ecogeographic pattern. However, the underlying forces that produce this pattern are unclear in many taxa. Expectations are particularly unclear for migratory species, as individuals may escape environmental extremes and reorient themselves along the environmental gradient. In addition, some aspects of body size are largely fixed while others are environmentally flexible and may vary seasonally. Here, we used a long-term dataset that tracked multiple populations of the migratory piping plover Charadrius melodus across their breeding and non-breeding ranges to investigate ecogeographic patterns of phenotypically flexible (body mass) and fixed (wing length) size traits in relation to latitude (Bergmann’s Rule), environmental temperature (heat conservation hypothesis), and migratory distance. We found that body mass was correlated with both latitude and temperature across the breeding and non-breeding ranges, which is consistent with predictions of Bergmann’s Rule and heat conservation. However, wing length was correlated with latitude and temperature only on the breeding range. This discrepancy resulted from low migratory connectivity across seasons and the tendency for individuals with longer wings to migrate farther than those with shorter wings. Ultimately, these results suggest that wing length may be driven more by conditions experienced during the breeding season or tradeoffs related to migration, whereas body mass is modified by environmental conditions experienced throughout the annual lifecycle