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Understanding the impact of network traffic properties on performance behavior in bottleneck links or larger networks is of primary interest to traffic analysts and network designers. Among the contributing factors, variance and correlation properties have been thoroughly studied and a large set of individual results have been obtained. However, these individual contributing factors are not sufficient to predict performance behavior. In this paper we review a unifying and versatile class of ON/OFF models through which the relationship among these parameters can be characterized and their influence on network performance be understood. The analytic performance results from the model show that there is a radically different queueing behavior when the ON period duration follows truncated power-tail distributions (even if truncated), as opposed to model variants where these distribution types are used for the OFF periods. All these models create correlation functions that only decay slowly. This motivates the development of a simple data analysis scheme to distinguish performance relevant correlation. The scheme is described both for interarrival and count processes of traffic data and its effectiveness is shown using real data traces.

The forecasting of energy consumption in China is a key requirement for achieving national energy security and energy planning. In this study, multi-variable linear regression (MLR) and support vector regression (SVR) were utilized with a gated recurrent unit (GRU) artificial neural network of Chinese energy to establish a forecasting model. The derived model was validated through four economic variables; the gross domestic product (GDP), population, imports, and exports. The performance of various forecasting models was assessed via MAPE and RMSE, and three scenarios were configured based on different sources of variable data. In predicting Chinese energy consumption from 2015 to 2021, results from the established GRU model of the highest predictive accuracy showed that Chinese energy consumption would be likely to fluctuate from 2954.04 Mtoe to 5618.67 Mtoe in 2021.

Low graduation rate is a significant and growing problem in U.S. higher education systems. Although previous studies have demonstrated the usefulness of building statistical models for predicting students' graduation outcomes, advanced machine learning models promise to improve the effectiveness of these models, and hone in on the “difference that makes a difference” not only on the group level, but also on the level of the individual student. In this paper we propose an ensemble support vector machines based model for predicting students' graduation. Up to about 100 features, including a set of psychological-educational factors, were employed to construct the predicting model. We evaluated the proposed model using data taken from a state university's longitudinal, cohort data sets from the incoming classes of students from 2011-2012 (n=350). The experimental results demonstrated the effectiveness of the model, with considerable accuracy, precision, and recall. This paper presents the results of analysis that were conducted in order to gauge the predictive capability of a machine learning algorithm to predict on-time graduation that took into consideration students' learning and development.

Let’s twin and twine together two primary aspects of how America can see herself—the good atoms of Whitman’s leaves of grass, and the engines humming their freedom on the highways that cut across those 19th century fields. Now, Jason Labbe well knows, as Whitman’s atoms become pixels, we find ourselves at a crossroads, learning again and again the consequences of “the indescribable way you shape / a past of little use.” Seeking to find that law or logic to shattering, be it in the memory-echo of personal trauma caught on infinite loop in the mind, or be it the dismal virtualities of the post-modern ether, the poems of Spleen Elegy unfold their rueful nostalgia: “I have something accurate to say that lacks perspective.” That may well be the very accuracy we most need, riding the routes of America, the byways and frontage roads, seeking anyone who is willing for a poem or two to see. —Dan Beachy-Quick "A chunk of broken tar”—that's the color of this book. And the sound of this book is "a train in the static." Its poems count time in "decaseconds of dusk." To read this book is to feel the uneasy passivity and unerring stuckness, the particular absurdity, of certain citizens stuck in this millennium. So many lines made me laugh. And sigh. But not cry. Jason Labbe is great at melancholy. Baudelaire's mosquito is definitely here: "I am Past / who passing lit and sucked your life and left." The future is unthinkable and unalterable. Except. Except! Lucretius' swerve is also here. Atoms may veer randomly, which is extra significant in a book that takes place mostly on the road. "My sutures are beautiful as a tread pattern," he says, and it is easy (and dangerous) to fall in love with Labbe's strangled version of optimism. —Darcie Dennigan

In this Handbook leading researchers, teacher educators, and expert practitioners speak to current and future educators and educational leaders in understandable language about the research that informs best practices for English language learners integrated into the K-12 public school system. Responding to current state and federal mandates that require educators to link their practices to sound research results, it is designed to help educators to define, select, and defend realistic educational practices that include and serve well their English language learning student populations.  A critical and distinctive feature of this volume is its non-technical language that is accessible to general educators who have not been trained in the fields of second-language development and applied linguistics. Each chapter begins with a thorough discussion of the recommended practices, followed by a description of the research that supports these practices. The rigor of reported research is contained, but this research is written in a lay person’s terminology, accompanied by bibliographies for readers who wish to read about the research in technical detail. The volume is structured around four themes:• In the Elementary Classroom• In the Middle and Secondary Classroom• School and Community Collaboration• School and District Reform. Inclusive Pedagogy for English Language Learners is intended for current and future educational administrators, all educators who have a keen interest in school reform at the classroom, school, or district level, and staff developers, policy makers, parents and community groups, and anyone interested in the successful education of linguistically and culturally diverse students.

Research on homeless shelter implementation is limited. Some shelters have lengthy waitlists, which raises important questions about implications of waitlists for individuals with immediate shelter needs. This study used qualitative methods to understand the experiences of shelter seekers who were on a shelter waitlist (N = 59), including individuals who entered the shelter from the waitlist, and those removed from the shelter waitlist for procedural reasons. The average waitlist time was nearly 3 weeks, and 22.0% stayed at least one night on the street or another public place while on the waitlist. Responses to open-ended questions regarding barriers and effectiveness of the shelter referral procedures revealed 4 themes: procedural challenges, procedural benefits, benefits of the temporary stay, and communication challenges. Further research is needed to inform shelter implementation on a larger scale in accordance with current community-wide efforts to coordinate shelter services.

Opioid addiction is a problem within the United States that is impacting all age groups. The elderly are a population that is seldom discussed as being affected by opioids. Physiologically, the older adult is more susceptible for complications associated with an alteration in pharmacokinetics and late diagnosis of diseases such as viral hepatitis C. Health promotion for this population is imperative in the prevention and treatment of opioid addiction problems.

A comprehensive resource that addresses the legal issues regarding school health services for school nurses, school administrators and school attorneys. Over 50 topics are included including information on federal laws, compliance, medication administration, professional licensure and malpractice, minor rights and mental health and much more. Over 70 authors include school nurse experts, and education and nurse attorneys. Each chapter is evidence based and peer reviewed by both school nurse content experts and attorneys. Responds to questions submitted by school nurses and school administrators. A reference that will support school nurse and school health practice, enhance care to children and provide guidance to protect the school and school nurse.

A comprehensive resource that addresses the legal issues regarding school health services for school nurses, school administrators and school attorneys. Over 50 topics are included including information on federal laws, compliance, medication administration, professional licensure and malpractice, minor rights and mental health and much more. Over 70 authors include school nurse experts, and education and nurse attorneys. Each chapter is evidence based and peer reviewed by both school nurse content experts and attorneys. Responds to questions submitted by school nurses and school administrators. A reference that will support school nurse and school health practice, enhance care to children and provide guidance to protect the school and school nurse.

This second volume of Lovecraftian Proceedings contains a wealth of cutting-edge scholarship on the dreamer from Providence, including substantial articles from both recipients of the S. T. Joshi Endowed Research Fellowship for H. P. Lovecraft at Brown University.  Lovecraftian Proceedings fosters exploration of Lovecraft as a rationalist who created an elaborate cosmic mythology, and how this mythology was influenced by, and has come to influence, numerous other authors and artists. The papers which comprise Lovecraftian Proceedings were presented during a key part of the NecronomiCon Providence convention, the Dr. Henry Armitage Memorial Symposium. TABLE OF CONTENTS Introduction             Dennis P. Quinn Dreams of Antiquity:  H. P. Lovecraft's Great Roman Dream of 1927Byron Nakamura The Poet’s Nightmare: The Nature of Things According to LovecraftSean Moreland Reordering the Universe: H. P. Lovecraft’s Subversion of the Biblical DivineRené J. Weise Resisting Cthulhu:  Milton and Lovecraft’s Errand in the Wilderness Marcello Ricciardi “The Discriminating Urban Landscapist": Tradition and Innovation in the Architectural Writings of H. P. LovecraftConnor Pitetti Tentacles in the Madhouse: The Role of the Asylum in the Fiction of H. P. LovecraftTroy Rondinone Unspeakable Languages: Lovecraft Editions in Spanish Juan L. Pérez-de-Luque Color out of Mind: Correlating the Cthulhu Mythos Universe to the Autism Disorder SpectrumLars G. Backstrom Darwin and the Deep Ones: Anthropological Anxiety in "The Shadow over Innsmouth" and Other StoriesJeffrey Shanks The “Inside” of H. P. Lovecraft’s Supernatural Horror in the Visual Arts Nathaniel R. Wallace H. P. Lovecraft’s OptimismMatthew Beach Insider, Outsider: From the Commonplace to the Uncanny in H. P. Lovecraft’s Narration and DescriptionsDaphnée Tasia Bourdages-Athanassiou H. P. Lovecraft, Georges Bataille, and the Fascination of the Formless: One Crawling Chaos Seen Emerging from Opposite ShoresChristian Roy  Ripples from Carcosa: H. P. Lovecraft, True Detective, and the Artist-InvestigatorHeather Poirier Lovecraft for the Little Ones: ParaNorman, Plushies, and MoreFaye Ringel and Jenna Randall Contributors AppendixAbstracts of Papers Presented at the Dr. Henry Armitage Memorial Scholarship Symposium,NecronomiCon Providence 20-23 August, 2015Chair: Dennis P. Quinn Index

The inclusive J/ψ transverse momentum spectra and nuclear modification factors are reported at mid-rapidity (|y|<1.0) in Au + Au collisions at sNN = 39, 62.4 and 200 GeV taken by the STAR experiment. A suppression of J/ψ production, with respect to the production in p+p scaled by the number of binary nucleon–nucleon collisions, is observed in central Au + Au collisions at these three energies. No significant energy dependence of nuclear modification factors is found within uncertainties. The measured nuclear modification factors can be described by model calculations that take into account both suppression of direct J/ψ production due to the color screening effect and J/ψ regeneration from recombination of uncorrelated charm–anticharm quark pairs. © 2017 The Author