661 research outputs found

    Why do Some Individuals Abstain from Voting? The Impact of Age, Education, and Confidence in the Court System on Voter Participation

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    The purpose of this research is to discover why some individuals abstain from voting in America. Using this information, countries may be able to increase voter turnout amongst their population. Literature provided several theories as to why individuals abstain from voting. This research focused on the impact of: age, education, and confidence in the courts system. A regression was conducted using GSS 1998 survey data to observe the impact of these three variables on voter turnout. It was found in this model that age and education have a statistically significant impact on voter turnout, but confidence in the court system does not. In order to develop a fully specified model, confidence in the court system was removed from the model. The results indicated that age and education describe 13.5% of the variance in voter turnout. Methods to increase voter turnout are suggested based on these results

    A specification language design for the Java Modeling Language (JML) using Java 5 annotations

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    Design by contract specification languages help programmers write their intentions for a piece of code in a formal mathematical language. Most programming languages do not have built-in syntax for such specifications, so many design by contract languages place specifications in comments. The Java Modeling Language (JML) is one such specification language for Java that uses comments to specify contracts. However, starting with version 5, Java has introduced annotations, a syntactical structure to place metadata in various places in the code. This thesis proposes an initial design to writing JML contracts in the Java 5 annotation syntax and evaluates several criteria in the areas of specification languages and Java language design: whether these annotations are expressive enough to take advantage of annotation simplicity and tool support, and whether the annotation syntax is expressive enough to support handling a large specification language such as JML

    A SpeciïŹcation Language Design for the Java Modeling Language (JML) Using Java 5 Annotations

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    Design by contract specification languages help programmers write their intentions for a piece of code in a formal mathematical language. Most programming languages do not have built-in syntax for such specifications, so many design by contract languages place specifications in comments. The Java Modeling Language (JML) is one such specification language for Java that uses comments to specify contracts. However, starting with version 5, Java has introduced annotations, a syntactical structure to place metadata in various places in the code. This thesis proposes an initial design to writing JML contracts in the Java 5 annotation syntax and evaluates several criteria in the areas of specification languages and Java language design: whether these annotations are expressive enough to take advantage of annotation simplicity and tool support, and whether the annotation syntax is expressive enough to support handling a large speciïŹcation language such as JML

    Assessment of Coordination and Proprioception in Youth With Autism Spectrum Disorder

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    Autism spectrum disorder (ASD) is characterized by social and communicative delays. It is known that those with ASD exhibit lower activity levels and decreased proprioception to some extent. The biomechanics of movement in ASD has not been assessed thoroughly enough to provide information on ASD specific movement patterns, and no studies have been performed examining work and recovery. The purpose of this study is to examine whether 1) inter-limb and intra-limb coordination patterns during walking and running differ between youth with ASD and neurotypical sex, age, and BMI-matched controls. Youth with ASD (N=8) and their BMI, age, and sex matched controls (N=8) performed walking at their self-selected speed and also at a standardized speed of 1.3 m/s for at least five trials each. An eight-camera motion capture system was used to collect three-dimensional (3D) kinematics for each subject. After in-lab data collection, subjects were given an accelerometer to wear to measure physical activity levels over a span of at least four days. To analyze the data, angle-angle plots were constructed for the left upper-arm and right thigh, and right shank-foot. Vector coding was used to obtain coupling angle and coupling angle variability information. No significant differences existed in coordination patterns or physical activity levels between the two groups. Upper-arm dominance and antiphase upper arm/thigh patterns were significantly related to minutes of vigorous physical activity (Rho: -0.63, p\u3c0.01 & Rho: 0.58, p=0.02, respectively). According to these results, there are no differences in coordination between those with and without ASD

    Adapting the Java Modeling Language for Java 5 Annotations

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    The Java Modeling Language (JML) is a formal specification language for Java that allows to express intended behavior through assertions. Currently, users must embed these assertions in Java comments, which complicates parsing and hinders tool support, leading to poor usability. This paper describes a set of proposed Java 5 annotations which reflect current JML assertions and provides for better tool support. We consider three alternative designs for such annotations and explain why the chosen design is preferred. This syntax is designed to support both a design-by-contract subset of JML, and to be extensible to the full language. We demonstrate that by building two tools: Modern Jass, which provides almost-native support for design by contract, and a prototype that works with a much larger set of JML

    Estimating stand-level economic impacts of black bear damage to intensively managed forests

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    Black bears (Ursus americanus Pallas, 1780) peel conifers in early spring to forage on energy-rich vascular tissues, resulting in damage to timber stands. The objective of our study was to develop and demonstrate a conceptual framework and methods for estimating stand-level volume and economic losses from black bear damage. We created tree lists from surveys of healthy and bear-damaged trees in timber stands of western Washington and Oregon. The forest growth model Forest Vegetation Simulator (FVS) was used to project stand volume under two damage scenarios and an undamaged scenario. One damage scenario (salvage) accounted for mortality and volume losses of fully and partially girdled trees; a second scenario (total loss) assumed complete loss of all trees peeled by black bears, regardless of peeling severity. The Fuel Reduction Cost Simulator (FRCS) was applied to estimate the value of logs delivered to the mill after accounting for logging and hauling costs associated with harvest. Present value of stands was calculated to translate volume losses into economic losses associated with bear damage. Economic losses ranged from 4% to 16% (salvage) and from 17% to 46% (total loss) of net present value. Our approach can be adapted for other forest settings and for forest management plans that assess wildlife damage. L’ours noir (Ursus americanus Pallas, 1780) arrache l’écorce des conifĂšres tĂŽt au printemps pour se nourrir des tissus vasculaires riches en Ă©nergie et cause des dommages aux peuplements forestiers. L’objectif de notre Ă©tude consistait Ă  Ă©laborer et prĂ©senter un cadre conceptuel et des mĂ©thodes pour estimer Ă  l’échelle du peuplement les pertes de volume ainsi que financiĂšres dues aux dommages causĂ©s par l’ours noir. Nous avons crĂ©Ă© des listes d’arbres sains et d’arbres endommagĂ©s par les ours Ă  partir des inventaires de peuplements forestiers de l’ouest des États de Washington et de l’Oregon. Un modĂšle de croissance de la forĂȘt, le simulateur de vĂ©gĂ©tation forestiĂšre, a Ă©tĂ© utilisĂ© pour prĂ©voir le volume d’un peuplement selon deux scĂ©narios comportant des dommages et un troisiĂšme qui n’en comporte pas. Un scĂ©nario comportant des dommages (rĂ©cupĂ©ration) tenait compte de la mortalitĂ© et des pertes de volume des arbres partiellement et complĂštement annelĂ©s; un second scĂ©nario (perte totale) assumait la perte complĂšte de tous les arbres endommagĂ©s par les ours noirs, peu importe la sĂ©vĂ©ritĂ© des dommages. Le simulateur du coĂ»t de rĂ©duction des combustibles a Ă©tĂ© appliquĂ© pour estimer la valeur des billes livrĂ©es Ă  l’usine aprĂšs avoir pris en compte les coĂ»ts de la coupe et du dĂ©bardage associĂ©s Ă  la rĂ©colte. La valeur actualisĂ©e des peuplements a Ă©tĂ© calculĂ©e pour traduire les pertes de volume en pertes financiĂšres associĂ©es aux dommages causĂ©s par les ours. Les pertes financiĂšres variaient de 4–16 % (rĂ©cupĂ©ration) et de 17–46 % (perte totale) de la valeur actualisĂ©e nette. Notre approche peut ĂȘtre adaptĂ©e Ă  d’autres situations ainsi qu’aux plans d’amĂ©nagement forestier qui Ă©valuent les dommages causĂ©s par la faune

    Estimating economic impact of black bear damage to western conifers at a landscape scale

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    Black bear (Ursus americanus) damage to trees in the Pacific Northwest is common, although volume and economic losses are unknown. Common measures to quantify bear damage to conifers at large scales rely solely on aerial estimates of red tree crowns (caused by complete girdling) and broad assumptions about stand characteristics. We surveyed 122 vulnerable stands in the Coast Range and western Cascades of Oregon using both aerial surveys and ground surveys. Then, we modeled 4 damage scenarios (Salvage; Total Loss; Root Disease; and Combined Damage) with the Forest Vegetation Simulator (FVS) growth and yield model and the Fuel Reduction Cost Simulator (FRCS). Damage polygons, digitized in real time from aerial surveys identifying red (dead or dying) tree crowns, overestimated bear damage by approximately 5-fold due to misclassification with root disease, and failed to detect partially peeled trees that contributed to economic loss. Damage polygons assessed from the air generally did not include red crowns, and were a mean distance of 58.8m (SE=8.8) from damage polygons’ outer edges to the nearest red crown. We accounted for mortality and volume losses from partially girdled trees that did not show red crowns in our Salvage scenario, whereas we assumed that all bear-peeled trees resulted in complete loss in the Total Loss scenario. At the landscape scale, economic loss was ≀0.35% of net present value under both damage scenarios, while processing bear damage trees (Salvage) was the most efficacious option. At the landscape scale, our worst-case scenario (Total Loss) resulted in an estimated loss of 56/hatobeardamage,10−foldlessthanapreviouslyreportedestimateof56/ha to bear damage, 10-fold less than a previously reported estimate of 585/ha. Root disease was a more prevalent damage agent than bear damage but did not affect net present value at harvest. The majority (92%) of bear damage observed in ground surveys was older (\u3e 2 yrs) and existed at a low frequency (1.5 bear damaged trees/ha) and severity across the landscape. Our results suggest that black bear damage is not uniformly distributed and that perceived impact varies with spatial scale. On-the-ground monitoring of the status of bear damage across the western Oregon landscape will identify hot spots of severe peeling and provide an understanding of these changes over time

    A Descriptive Case Study Examining the Perceptions of Haitian American Parents and the Perceptions of their Children’s Teachers on the Parents’ Involvement in a Structured Parent Intervention Program

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    Parental involvement is legally mandated requirement in schools across the United States, and prevalent in special education legislation. However, methods for increasing and promoting parent involvement of minority subgroups in low socioeconomic areas are scarce. The purpose of this study was to develop, implement, and describe Haitian parents’ perceptions of their involvement in a structured parent intervention program and to describe the perceptions of their children’s teachers concerning the parents’ involvement in the program. In this study, the researcher used a descriptive qualitative case study methodology. All participants in the 5-month program implementation were interviewed at three points throughout the program. (pre, mid, and post). Findings of the present study revealed that these parents’ feelings towards parent involvement evolved throughout their participation in the program. Participants went from reported feelings of separation between home and school, to understanding the important role they can play in education. Additionally, as reported by the students’ teachers, the parents’ increased involvement and presence in the school/classroom had a positive impact on their children’s social and academic development. Through their participation in the program, as evidenced through interview responses, parents’ confidence increased as well as their ability to overcome initially identified barriers to involvement including English language acquisition, lack of time, an unclear understanding of special education services, and feeling un-wanted. This study found that parents’ perceptions of their participation were guided by two categories of motivators as identified through coding of interview responses: intrinsic motivators and extrinsic motivators. Through the program, parents who were intrinsically motivated to be involved in their child’s education embraced the whole program. Those who were extrinsically motivated also became more involved, however, their motivation was more dependent on society and perceived success of their child and their parenting. Perceptions of parent participants concerning their involvement in the program was found to be defined by the American culture in which their children are growing up, but equally in part by their Haitian roots and remaining ties to the island. Through their participation in the program, the parents were able to identify and explore opportunities for involvement, develop relationships with their children’s teachers, better understand the purpose of an IEP, and better themselves as individuals to in turn better the lives of their children

    Supermassive Black-hole Demographics & Environments With Pulsar Timing Arrays

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    Precision timing of large arrays (>50) of millisecond pulsars will detect the nanohertz gravitational-wave emission from supermassive binary black holes within the next ~3-7 years. We review the scientific opportunities of these detections, the requirements for success, and the synergies with electromagnetic instruments operating in the 2020s.Comment: Submitted to the Astro2020 Decadal Survey. One of 5 core white-papers authored by members of the NANOGrav Collaboration. 9 pages, 2 figure

    Noise-marginalized optimal statistic: A robust hybrid frequentist-Bayesian statistic for the stochastic gravitational-wave background in pulsar timing arrays

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    Observations have revealed that nearly all galaxies contain supermassive black holes (SMBHs) at their centers. When galaxies merge, these SMBHs form SMBH binaries (SMBHBs) that emit low-frequency gravitational waves (GWs). The incoherent superposition of these sources produce a stochastic GW background (GWB) that can be observed by pulsar timing arrays (PTAs). The optimal statistic is a frequentist estimator of the amplitude of the GWB that specifically looks for the spatial correlations between pulsars induced by the GWB. In this paper, we introduce an improved method for computing the optimal statistic that marginalizes over the red noise in individual pulsars. We use simulations to demonstrate that this method more accurately determines the strength of the GWB, and we use the noise-marginalized optimal statistic to compare the significance of monopole, dipole, and Hellings-Downs (HD) spatial correlations and perform sky scrambles.Comment: 8 pages, 7 figures. Published in PR
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