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Sensory Processing In Autism Spectrum Disorders And Fragile X Syndrome-From The Clinic To Animal Models., D Sinclair, B Oranje, K A Razak, S J Siegel, S Schmid

Brain and Mind Institute Researchers' Publications

Brains are constantly flooded with sensory information that needs to be filtered at the pre-attentional level and integrated into endogenous activity in order to allow for detection of salient information and an appropriate behavioral response. People with Autism Spectrum Disorder (ASD) or Fragile X Syndrome (FXS) are often over- or under-reactive to stimulation, leading to a wide range of behavioral symptoms. This altered sensitivity may be caused by disrupted sensory processing, signal integration and/or gating, and is often being neglected. Here, we review translational experimental approaches that are used to investigate sensory processing in humans with ASD and FXS, and …

Learning From Recent British Information Literacy Models: A Report To Acrl's Information Literacy Competency Standards For Higher Education Task Force, Justine Martin

Justine Martin

Information literacy is a fluid concept, shaped by our experiences, and changes in our information rich society. Guidelines articulating information literacy need modification to reflect the current form of this evolving concept. This report highlights the work of four groups in the United Kingdom to create innovative guidelines to assist practitioners in the promotion and teaching of information literacy.

Refreshing Information Literacy: Learning From Recent British Information Literacy Models, Justine Martin

Justine Martin

Models play an important role in helping practitioners implement and promote information literacy. Over time models can lose relevance with the advances in technology, society, and learning theory. Practitioners and scholars often call for adaptations or transformations of these frameworks to articulate the learning needs in information literacy development. This study analyzes four recently published models from the United Kingdom. The initial findings were presented in a report for an ACRL taskforce reviewing the Information Literacy Competency Standards for Higher Education. This article presents complementary, yet distinct findings from the same dataset that focus on reoccurring themes for information literacy …

Study Of The Footprints Of Short-Term Variation In Xco2 Observed By Tccon Sites Using Nies And Flexpart Atmospheric Transport Models, Dmitry Belikov, Shamil Maksyutov, Alexander Ganshin, Ruslan Zhuravlev, Nicholas M. Deutscher, Debra Wunch, Dietrich G. Feist, Isamu Morino, Robert J. Parker, Kimberly Strong, Yukio Yoshida, Andrey Bril, Sergey Oshchepkov, Hartmut Boesch, Manvendra K. Dubey, David W. T Griffith, Will Hewson, Rigel Kivi, Joseph Mendonca, Justus Notholt, Matthias Schneider, Ralf Sussmann, Voltaire A. Velazco, Shuji Aoki

Faculty of Science, Medicine and Health - Papers: part A

The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier transform spectrometers (FTSs) that record near-infrared (NIR) spectra of the sun. From these spectra, accurate and precise observations of CO2 column-averaged dry-air mole fractions (denoted XCO2) are retrieved. TCCON FTS observations have previously been used to validate satellite estimations of XCO2; however, our knowledge of the short-term spatial and temporal variations in XCO2 surrounding the TCCON sites is limited. In this work, we use the National Institute for Environmental Studies (NIES) Eulerian three-dimensional transport model and the FLEXPART (FLEXible PARTicle dispersion model) Lagrangian particle dispersion model (LPDM) …

A Comparison Study For Supervised Machine Learning Models In Cancer Classification, Huaming Chen, Hong Zhao, Lei Wang, Jiangning Song, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Sharing Social Network Data: Differentially Private Estimation Of Exponential Family Random-Graph Models, Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic

Faculty of Engineering and Information Sciences - Papers: Part A

Motivated by a real life problem of sharing social network data that contain sensitive personal information, we propose a novel approach to release and analyse synthetic graphs to protect privacy of individual relationships captured by the social network while maintaining the validity of statistical results. A case-study using a version of the Enron e-mail corpus data set demonstrates the application and usefulness of the proposed techniques in solving the challenging problem of maintaining privacy and supporting open access to network data to ensure reproducibility of existing studies and discovering new scientific insights that can be obtained by analysing such data. …

Using Contrastive Divergence To Seed Monte Carlo Mle For Exponential-Family Random Graph Models, Pavel N. Krivitsky

Faculty of Engineering and Information Sciences - Papers: Part A

Exponential-family models for dependent data have applications in a wide variety of areas, but the dependence often results in an intractable likelihood, requiring either analytic approximation or MCMC-based techniques to fit, the latter requiring an initial parameter configuration to seed their simulations. A poor initial configuration can lead to slow convergence or outright failure. The approximate techniques that could be used to find them tend not to be as general as the simulation-based and require implementation separate from that of the MLE-finding algorithm. Contrastive divergence is a more recent simulation-based approximation technique that uses a series of abridged MCMC runs …

Optimizing Wearable Assistive Devices With Neuromuscular Models And Optimal Control, Manish Sreenivasa, Matthew Millard, Paul Manns, Katja Mombaur

Faculty of Engineering and Information Sciences - Papers: Part B

The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the possibility to study and improve this interaction. In addition, optimal control can also be used to generate predictive simulations that generate novel movements for the human model under varying optimization criterion.

Linear Regression Models For Prediction Of Annual Heating And Cooling Demand In Representative Australian Residential Dwellings, Navid Aghdaei, Georgios Kokogiannakis, Daniel J. Daly, Timothy J. Mccarthy

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents the development methodology of linear regression models that were developed for the prediction of annual thermal loads in representative residential buildings across three major climates in New South Wales, Australia, and the assessment of the impact of building envelope upgrades. A differential sensitivity analysis was undertaken for sixteen building envelope parameters, with six parameters being identified as significant. These six parameters were then explored using EnergyPlus simulation, and a number of linear regression models developed from the simulation outputs. Random values for design parameters were generated, and the results of EnergyPlus simulations using these parameters were used …

Threat Models For Analyzing Plausible Deniability Of Deniable File Systems, Michal Kedziora, Yang-Wai Chow, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

Plausible deniability is a property of Deniable File System (DFS), which are encrypted using a Plausibly Deniable Encryption (PDE) scheme, where one cannot prove the existence of a hidden file system within it. This paper investigates widely used security models that are commonly employed for analyzing DFSs. We contend that these models are no longer adequate considering the changing technological landscape that now encompass platforms like mobile and cloud computing as a part of everyday life. This necessitates a shift in digital forensic analysis paradigms, as new forensic models are required to detect and analyze DFSs. As such, it is …

Your Teaching Strategy Matters: How Engagement Impacts Application In Health Information Literacy Instruction, Heather A. Johnson, Laura C. Barrett

Dartmouth Scholarship

The purpose of this study was to compare two pedagogical methods, active learning and passive instruction, to determine which is more useful in helping students to achieve the learning outcomes in a one-hour research skills instructional session.

Impact Of Trucking Network Flow On Preferred Biorefinery Locations In The Southern United States, Timothy M. Young, Lee D. Han, James H. Perdue, Stephanie R. Hargrove, Frank M. Guess, Xia Huang, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The impact of the trucking transportation network flow was modeled for the southern United States. The study addresses a gap in existing research by applying a Bayesian logistic regression and Geographic Information System (GIS) geospatial analysis to predict biorefinery site locations. A one-way trucking cost assuming a 128.8 km (80-mile) haul distance was estimated by the Biomass Site Assessment model. The "median family income," "timberland annual growth-to-removal ratio," and "transportation delays" were significant in determining mill location. Transportation delays that directly impacted the costs of trucking are presented. A logistic model with Bayesian inference was used to identify preferred site …

Protective Behavioral Strategies As A Context-Specific Mediator: A Multilevel Examination Of Within- And Between-Person Associations Of Daily Drinking, Abby L. Braitman, Ashley N. Linden-Carmichael, James M. Henson

Psychology Faculty Publications

Research indicates that a drinker’s environmental and social context can be differentially associated with drinking outcomes. Further, although many researchers have identified that more frequent use of protective behavioral strategies (PBS) is associated with lower alcohol consumption and negative consequences, scant research has examined how one’s drinking context may promote or hinder PBS use. The present study examined how the context of drinking each day (i.e., where and with whom) is associated with level of consumption and reported alcohol-related problems among n = 284 college drinkers (69.0% female) directly, as well as indirectly through the use of PBS. Two different …

A Discussion On Document Conceptualization, Niels W. Lund, Tim Gorichanaz, Kiersten F. Latham

Proceedings from the Document Academy

The authors discuss two conceptual frameworks of documents and documentation: Lund's complementarity theory of documentation; and Gorichanaz and Latham's framework of document phenomenology. The role of documentation in conceptualizing the document is discussed, and the notions of documentation and documental becoming are compared. Through the discussion, clarity is gained regarding both methods of conceptualization.

An Examination Of The Relationships Between Safety Culture Perceptions And Safety Reporting Behavior Among Non-Flight Collegiate Aviation Majors, Daniel Kwasi Adjekum, Julius Keller, Micah Walala, Cody Christensen, Randal J. Demik, John P. Young, Gary J. Northam

International Journal of Aviation, Aeronautics, and Aerospace

Some collegiate aviation programs in the United States have adopted the voluntary Safety Management System (SMS) strongly advocated by the Federal Aviation Administration to build a proactive safety culture. While relevant safety culture research has primarily focused on flight personnel, there has been limited investigation on non-flight collegiate aviation majors (collegiate air traffic control, aviation management, and unmanned aerial systems students) perceptions on collegiate aviation safety. This study examined the relationship between safety culture perceptions and safety reporting behavior of non-flight major students at five collegiate aviation programs. One hundred and sixteen completed responses to a validated safety culture perception …

Diet Composition And Insulin Action In Animals Models, Leonard Storlien, J A. Higgins, T C. Thomas, John Brown, Hongqin Wang, Xu-Feng Huang, Paul Else

Xu-Feng Huang

Critical insights into the etiology of insulin resistance have been gained by the use of animal models where insulin action has been modulated by strictly controlled dietary interventions not possible in human studies. Overall, the literature has moved from a focus on macronutrient proportions to understanding the unique effects of individual subtypes of fats, carbohydrates and proteins. Substantial evidence has now accumulated for a major role of dietary fat subtypes in insulin action. Intake of saturated fats is strongly linked to development of obesity and insulin resistance, while that of polyunsaturated fats (PUFAs) is not. This is consistent with observations …

Revising The Bis/Bas Scale To Study Development: Measurement Invariance And Normative Effects Of Age And Sex From Childhood Through Adulthood., David Pagliaccio, Katherine R Luking, Andrey P Anokhin, Ian H Gotlib, Elizabeth P Hayden, Thomas M Olino, Chun-Zi Peng, Greg Hajcak, Deanna M Barch

Brain and Mind Institute Researchers' Publications

Carver and White's (1994) Behavioral Inhibition System/Behavioral Activation System (BIS/BAS) Scales have been useful tools for studying individual differences in reward-punishment sensitivity; however, their factor structure and invariance across development have not been well tested. In the current study, we examined the factor structure of the BIS/BAS Scales across 5 age groups: 6- to 10-year-old children (N = 229), 11- to 13-year-old early adolescents (N = 311), 14- to 16-year-old late adolescents (N = 353), 18- to 22-year-old young adults (N = 844), and 30- to 45-year-old adults (N = 471). Given poor fit of the standard 4-factor model (BIS, …

Nonparametric Cointegrating Regression With Endogeneity And Long Memory, Qiying Wang, Peter C. B. Phillips

Research Collection School Of Economics

This paper explores nonparametric estimation, inference, and specification testing in a nonlinear cointegrating regression model where the structural equation errors are serially dependent and where the regressor is endogenous and may be driven by long memory innovations. Generalizing earlier results of Wang and Phillips (2009a, b, Econometric Theory 25, 710-738, Econometrica 77, 1901-1948), the conventional nonparametric local level kernel estimator is shown to be consistent and asymptotically (mixed) normal in these cases, thereby opening up inference by conventional nonparametric methods to a wide class of potentially nonlinear cointegrated relations. New results on the consistency of parametric estimates in nonlinear cointegrating …

Optimizing The Distribution Of Leg Muscles For Vertical Jumping., Jeremy D Wong, Maarten F Bobbert, Arthur J Van Soest, Paul L Gribble, Dinant A Kistemaker

Brain and Mind Institute Researchers' Publications

A goal of biomechanics and motor control is to understand the design of the human musculoskeletal system. Here we investigated human functional morphology by making predictions about the muscle volume distribution that is optimal for a specific motor task. We examined a well-studied and relatively simple human movement, vertical jumping. We investigated how high a human could jump if muscle volume were optimized for jumping, and determined how the optimal parameters improve performance. We used a four-link inverted pendulum model of human vertical jumping actuated by Hill-type muscles, that well-approximates skilled human performance. We optimized muscle volume by allowing the …

An Enhanced Water Bank For Colorado, Anne J. Castle, Lawrence J. Macdonnell

Books, Reports, and Studies

23 pages.

Introduction and rationale -- Background on Colorado water law -- The initial Colorado water bank -- Water banks in other western states -- An enhanced water bank framework for Colorado -- Overcoming municipal preference for permanent acquisition -- Existing authority and new authority needed -- Conclusion and recommendation -- Attachment: Provisions for consideration in water bank operating guidelines.

A Studio Model For Academic Data Services, Samantha Guss

University Libraries Faculty and Staff Publications

This book serves as proof that there are plenty of effective ways to provide data services in an academic environment and that there can never be a one-size-fits-all approach. It is still valuable, however, to look closely at other's service models--to learn from successes, to borrow concepts and metaphors from other realms, and to think about one's own services through new lenses. A service model is a framework used to describe and understand the "who, what, where, when, and how" of a service from different stakeholders' perspectives; it can serve as a useful tool for developing and improving data services …

Assessment Committees: Good Practices From Arl Libraries, Michelle H. Brannen, Sojourna J. Cunningham, Regina Mays

University Libraries Faculty and Staff Publications

Purpose – Assessment activities in academic libraries continue to grow as libraries explore assessment endeavors. Ranging from basic stats gathering and reporting to surveys, focus groups, and usability studies and beyond. Many practitioners are finding it necessary to create new processes and programs, with little guidance. The purpose of this paper is to paint a broad picture of assessment activities in Association of Research Libraries (ARL) university libraries with the goal of creating a resource for libraries developing or improving their assessment programs.

Design/methodology/approach – A survey was developed that asked questions about assessment personnel, activities, mission, and website. A …

Joint Pet-Mr Respiratory Motion Models For Clinical Pet Motion Correction, Richard Manber, Kris Thielemans, Brian F. Hutton, Simon Wan, Jamie Mcclelland, Anna Barnes, Simon R. Arridge, Sebastien Ourselin, David Atkinson

Faculty of Engineering and Information Sciences - Papers: Part A

Patient motion due to respiration can lead to artefacts and blurring in positron emission tomography (PET) images, in addition to quantification errors. The integration of PET with magnetic resonance (MR) imaging in PET-MR scanners provides complementary clinical information, and allows the use of high spatial resolution and high contrast MR images to monitor and correct motion-corrupted PET data. In this paper we build on previous work to form a methodology for respiratory motion correction of PET data, and show it can improve PET image quality whilst having minimal impact on clinical PET-MR protocols. We introduce a joint PET-MR motion model, …

Interaction Prediction Between Groundwater And Quarry Extension Using Discrete Choice Models And Artificial Neural Networks, Johan Barthelemy, Timoteo Carletti, Louise Collier, Vincent Hallet, Marie Moriame, Annick Sartenear

Faculty of Engineering and Information Sciences - Papers: Part A

Groundwater and rock are intensively exploited in the world. When a quarry is deepened the water table of the exploited geological formation might be reached. A dewatering system is therefore installed so that the quarry activities can continue, possibly impacting the nearby water catchments. In order to recommend an adequate feasibility study before deepening a quarry, we propose two interaction indices between extractive activity and groundwater resources based on hazard and vulnerability parameters used in the assessment of natural hazards. The levels of each index (low, medium, high, very high) correspond to the potential impact of the quarry on the …

An Implementation Of Discrete Electron Transport Models For Gold In The Geant4 Simulation Toolkit, D Sakata, Sebastien Incerti, M Bordage, N Lampe, Susumu Okada, Dimitris Emfietzoglou, Ioanna Kyriakou, K Murakami, Takashi Sasaki, H Tran, Susanna Guatelli, V Ivantchenko

Faculty of Engineering and Information Sciences - Papers: Part A

Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. …

Why Do Models Overestimate Surface Ozone In The Southeast United States?, Katherine R. Travis, Daniel J. Jacob, Jenny A. Fisher, Patrick S. Kim, Eloise A. Marais, Lei Zhu, Karen Yu, Christopher C. Miller, Robert M. Yantosca, Melissa P. Sulprizio, Anne M. Thompson, Paul O. Wennberg, John D. Crounse, Jason M. St. Clair, Ronald C. Cohen, Joshua L. Laughner, Jack E. Dibb, Samuel R. Hall, Kirk Ullmann, Glenn M. Wolfe, Illana B. Pollack, Jeff Peischl, Jonathan A. Neuman, Xianliang Zhou

Faculty of Science, Medicine and Health - Papers: part A

Ozone pollution in the Southeast US involves complex chemistry driven by emissions of anthropogenic nitrogen oxide radicals (NO_x  ≡  NO + NO₂) and biogenic isoprene. Model estimates of surface ozone concentrations tend to be biased high in the region and this is of concern for designing effective emission control strategies to meet air quality standards. We use detailed chemical observations from the SEAC⁴RS aircraft campaign in August and September 2013, interpreted with the GEOS-Chem chemical transport model at 0.25°  x  0.3125° horizontal resolution, to better understand the factors controlling surface ozone in the Southeast US. …

Flexible Analysis Of Digital Pcr Experiments Using Generalized Linear Mixed Models, Matthijs Vynck, J Vandesompele, Nele Nijs, Björn Menten, Ariane De Ganck, Olivier Thas

Faculty of Engineering and Information Sciences - Papers: Part A

The use of digital PCR for quantification of nucleic acids is rapidly growing. A major drawback remains the lack of flexible data analysis tools. Published analysis approaches are either tailored to specific problem settings or fail to take into account sources of variability. We propose the generalized linear mixed models framework as a flexible tool for analyzing a wide range of experiments. We also introduce a method for estimating reference gene stability to improve accuracy and precision of copy number and relative expression estimates. We demonstrate the usefulness of the methodology on a complex experimental setup.

Settlement-Size Scaling Among Prehistoric Hunter-Gatherer Settlement Systems In The New World, W. Randall Haas, Cynthia J. Klink, Greg J. Maggard, Mark S. Aldenderfer

Anthropology Faculty Publications

Settlement size predicts extreme variation in the rates and magnitudes of many social and ecological processes in human societies. Yet, the factors that drive human settlement-size variation remain poorly understood. Size variation among economically integrated settlements tends to be heavy tailed such that the smallest settlements are extremely common and the largest settlements extremely large and rare. The upper tail of this size distribution is often formalized mathematically as a power-law function. Explanations for this scaling structure in human settlement systems tend to emphasize complex socioeconomic processes including agriculture, manufacturing, and warfare-behaviors that tend to differentially nucleate and disperse populations …

Differential Modification Of Cortical And Thalamic Projections To Cat Primary Auditory Cortex Following Early- And Late-Onset Deafness., Nicole Chabot, Blake E Butler, Stephen G Lomber

Brain and Mind Institute Researchers' Publications

Following sensory deprivation, primary somatosensory and visual cortices undergo crossmodal plasticity, which subserves the remaining modalities. However, controversy remains regarding the neuroplastic potential of primary auditory cortex (A1). To examine this, we identified cortical and thalamic projections to A1 in hearing cats and those with early- and late-onset deafness. Following early deafness, inputs from second auditory cortex (A2) are amplified, whereas the number originating in the dorsal zone (DZ) decreases. In addition, inputs from the dorsal medial geniculate nucleus (dMGN) increase, whereas those from the ventral division (vMGN) are reduced. In late-deaf cats, projections from the anterior auditory field (AAF) …

A Multiscale Mapping Assessment Of Lake Champlain Cyanobacterial Harmful Algal Blooms, Nathan Torbick, Megan Corbiere, Yu-Pin Lin

Dartmouth Scholarship

Lake Champlain has bays undergoing chronic cyanobacterial harmful algal blooms that pose a public health threat. Monitoring and assessment tools need to be developed to support risk decision making and to gain a thorough understanding of bloom scales and intensities. In this research application, Landsat 8 Operational Land Imager (OLI), Rapid Eye, and Proba Compact High Resolution Imaging Spectrometer (CHRIS) images were obtained while a corresponding field campaign collected in situ measurements of water quality. Models including empirical band ratio regressions were applied to map chlorophylla and phycocyanin concentrations; all sensors performed well with R² and root-mean-square error (RMSE) ranging …