Digital Commons Network^™

Mental Health Treatment In Juvenile Correctional Facilities: Utilizing Assessment To Inform Treatment, Sarah Riccio

Dissertations

Youth in juvenile correctional facilities face a wide range of mental health difficulties. Over the years, the juvenile justice system has prioritized the need for providing appropriate and effective treatment services to youth throughout their detainment. Despite these ongoing efforts, treatment practices in juvenile correctional facilities continue to fall short. This study will first focus on assessment practices within these facilities and the impact current practices have on diagnosis and subsequent treatment. Emphasis will be placed on the importance of comprehensive evaluations for informing diagnosis and determining the individual treatment needs of detained youth. An integrated approach to assessment will …

Radical Inclusion: An Engagement Model For Accountability Redesign, Natalie Neris

Dissertations

To ensure that Chicago Public Schools’ school accountability policy is equitable and representative of the insights and perspectives of those most impacted, this study advocates for CPS to enact a Radically Inclusive Stakeholder Engagement (RISE) policy to enforce a more inclusive policy redesign process. This policy advocacy document examines the history of school accountability through five intersecting domains: education, economics, social context, political context and moral/ethical considerations. Reflecting on my experience as a third-generation CPS student, a CPS parent, former teacher and school leader, I challenge the reader to consider the intention and impact of school accountability on Chicago’s students …

Gaze, Volume 9, Number 7

Gaze, 1979-1990

Co-Editors: Allen Cook, John Stilwell. Staff Writers: Carole Taylor, Bob Dumais, Vincent Astor, Becky Caperton, John House. Typesetting and Layout: Allen Cook, Bob Dumais, Cecil McLeod, John Stilwell. Circulation: Cecil McLeod, John Stilwell, Bob Dumais. Advertising Manager: Bob Dumais.

Special thanks to Rhodes College and the Paul Barret Jr. Library for providing initial scanning of this collection.

This issue is the first of two issues printed as volume 9, number 7.

Pfoa Loaded Gac Fall 2021 Report, Ramiro Nava

Water Resources Science and Technology Theses and Graduate Research Reports (Archived)

No abstract provided.

Efficacy Of Sediment Contaminant Remediation Of The Benthos In A Segment Of The Southern Branch Of The Elizabeth River, Colton Martin

Biological Sciences Theses & Dissertations

The bottom sediment of the Southern Branch of the Elizabeth River, a tributary of Chesapeake Bay, was historically contaminated with hydrocarbons from industrial sources especially wood treatment facilities. The Elizabeth River Project selected a section of the bottom off Money Point in the Southern Branch for a sediment contaminant remediation effort. Prior to initiation of remediation efforts, a survey occurred in summer 2010 to characterize the ecological condition of the benthic communities off Money Point compared to benthic communities of a benthic region across the channel and northwest of Money Point near Blows Creek. That study characterized the benthos of …

Introduction: From Solidão, To Isolation, To Solidão-Rity, Luciane Ramos Silva, Tanya Saunders, Sarah S. Ohmer

Publications and Research

Solidão is a concept from Black Brazilian Gender Studies that does not have a US Black feminist or queer of color equivalent, nor does it translate into a single word in the English language. It describes shared isolation as an affective relational phenomenon with meanings as multiple as there are Black women. Solidão is inherent to the experiences of Black women considering the historical, social, and racial vectors that traverse individual experiences.

But how do you frame intersectional theory with Afro-Atlantic and African knowledge production outside of the United States? This is an introduction to the 2021 special issue of …

Do Loneliness And Social Isolation Predict Mortality Because Of Hazardous Drinking?, Jussi Tanskanen, Sarah N. Arpin, Cynthia D. Mohr

Psychology Faculty Publications and Presentations

Introduction: Subjective feelings of loneliness and objective social isolation have been consistently connected with ill-health and mortality, though little work has empirically examined the mechanisms explaining the adverse effects. This study examines whether alcohol consumption explains the connection of loneliness and social isolation on mortality in different age and gender groups.

Methods: The sample comprised a representative 1994 Finnish sample (n = 8,650) matched with 22-year follow-up mortality data. A multigroup path analysis with discrete survival time analyses was conducted.

Results: There were unique differences in the associations between loneliness, social isolation, alcohol consumption, and mortality based on age and …

The Ejection Of Large Non-Oscillating Droplets From A Hydrophobic Wedge In Microgravity, Logan Torres, Mark M. Weislogel

Mechanical and Materials Engineering Faculty Publications and Presentations

When confined within containers or conduits, drops and bubbles migrate to regions of minimum energy by the combined effects of surface tension, surface wetting, system geometry, and initial conditions. Such capillary phenomena are exploited for passive phase separation operations in micro-fluidic devices on earth and macro-fluidic devices aboard spacecraft. Our study focuses on the migration and ejection of large inertial-capillary drops confined between tilted planar hydrophobic substrates (a.k.a., wedges). In our experiments, the brief nearly weightless environment of a 2.1 s drop tower allows for the study of such capillary dominated behavior for up to 10 mL water drops with …

Emotion Regulation Variability And Relationship Functioning In Emerging Adulthood, Laura B. Kenneally

Psychology Theses & Dissertations

Emotion regulation is a transdiagnostic factor that functions as a crucial contributor to individual well-being and social functioning. Research seeking to identify adaptive or maladaptive strategies of emotion regulation has often focused on individual strategies, though emerging evidence suggests that what constitutes “adaptive” regulation is often context-dependent. Having a large repertoire of emotion regulation strategies that one is willing to use at different rates has been termed “emotion regulation variability,” and has been linked to positive individual outcomes. While the benefits of emotion regulation variability have been demonstrated on an individual level, the impact on romantic relationships has yet to …

Identification Of Opportunity Barriers And Supports For Individuals Using Augmentative And Alternative Communication (Aac) And Stakeholders, Meredith K. Gohsman

Rehabilitation Sciences Theses & Dissertations

Individuals using augmentative and alternative communication (AAC) are supported by many AAC stakeholders and communication partners. Clinical decision making and AAC assessment models consider the capabilities and access needs of the individual using AAC, as well as opportunity barriers and supports imposed by communication partners and environments. The purpose of this research was to investigate opportunity barriers and supports identified by two critical AAC stakeholders: speechlanguage pathologists and caregivers. The first study investigated characteristics of AAC service provision reported by post-professional speech-language pathologists. Speech-language pathologists reported lack of perceived knowledge related to AAC service delivery, inconsistent use of AAC modalities, …

An Analysis Of Class In Composition From 1970-2010, Holland R. Cutrell

All HCAS Student Capstones, Theses, and Dissertations

Class and socioeconomic status in composition and rhetoric remains a topic that is felt, yet not often discussed. The language students use is highly indicative of their class background, and everyone has a slightly altered form of discourse they prefer (Zebroski, 2006). My thesis examines the issues working-class students have faced with literacy acquisition and discourse assimilation from 1970s–mid 2000s. My analysis illustrates how composition and rhetoric has evolved from the error-centered and hyper-correct culture of the 1970s to the technologically dominated, media driven production powerhouse that affects every aspect of college and beyond. To most effectively address how working-class …

Transfer Effects Of A Multiple-Joint Isokinetic Eccentric Training Intervention To Nontraining-Specific Traditional Muscle Function Measures, Steven Spencer

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The transfer effects of isokinetic, eccentric-only resistance training programs on non-specific measures of muscle function such as isometric peak force, isokinetic concentric peak force and dynamic constant external resistance 1-repetition maximal strength (DCER 1RM) have been researched extensively in a single joint context, yielding mixed results. However, investigations involving multiple-joint isokinetic eccentric-only training models have been sparse. The purpose of this study was to investigate the transfer effects of a short-term multiple-joint isokinetic eccentric leg press (Eccentron) training program on several measures of lower-body strength and performance. Fifteen participants performed Eccentron training three times/week for four weeks and were evaluated …

Ftc Orders Destruction Of Algorithms Created From Unlawfully Acquired Data, Randi W. Singer, Michael Goodyear

Articles & Chapters

No abstract provided.

Complete Modeling Of The Chondrogenic Environment Under Continuous Low-Intensity Ultrasound, Heather Newell

Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research

Articular cartilage is an avascular tissue that requires therapeutic intervention methods. This work answers the following: determine transducer operation to optimize the bioeffects; calculate the magnitude of pressure exerted on chondrocytes at an injury site; and confirm the theoretical findings by an animal model.

Earlier work has shown that cellular response to US is maximized at the resonance frequency of the cells. Resonance frequencies were calculated for chondrocytes in various layers. The latter configuration closest resembles in vivo conditions and the resonance occurred at 3.8±0.3 ������. The 3D model of US propagation in a rabbit knee was constructed from MRIs …

Flight Test Evaluation Of Elevator Stick Force Gradients On General Aviation Aircraft, Isaac Lee Faust

Theses and Dissertations

The objective of this research is to establish a suitable method of changing elevator stick force gradients on a Piper Warrior II. After finding a range of stick force gradients, the gradients will later be evaluated to get handling qualities ratings. A stick force gradient is the change in stick force as the airspeed deviates from trim condition. An aircraft’s yoke force gives pilots haptic feedback which improves their situational awareness without the need to assess instrument readings. A high stick force gradient will give the pilots a lot of feedback but will require more physical exertion to fly the …

Role Of Hsp70 And The Tlr4-Md2 Complex In The Vasculature: From Function To Dysfunction In Diabetes, Amanda Almeida De Oliveira

Theses and Dissertations

Diabetes impairs vascular functionality, which contributes to the pathophysiology of its associated complications. Recently, it was suggested that innate immune receptors assist in the development of diabetic vasculopathies, which sustains the pro-inflammatory state of the disease. Among these receptors, Toll-like receptor 4 (TLR4) is a strategic player as its activation prime the release of inflammatory mediators and reactive oxygen species (ROS), which are well-known pathological mechanisms linked to diabetic complications. The TLR4-Myeloid differentiation factor 2 (MD2) complex has gained much attention over the last decade, primarily because it interacts with self-produced molecules. In vascular tissues, the Heat-shock protein 70 (HSP70) …

An Assessment Of Image-Cloaking Techniques Against Automated Face Recognition For Biometric Privacy, Brandon Scott Ledford

Theses and Dissertations

Over the past two decades, Americans have aggressively increased the amount of facial data uploaded to the internet primarily via social media. This data is largely unprotected due to the dire lack of existing regulations protecting users from large scale face recognition in the United States, where the value of data trade is in the tens of billions. In its current state, facial privacy in the United States depends on American corporations opting not to collect the public data, an option rarely chosen. Much research has been done in the area of suppressing recognition abilities, giving users the ability to …

Forecasting Sep Events Based On Merged Cme Catalogs Using Machine Learning, Peter William Tarsoly

Theses and Dissertations

The lack of preparation for a Solar Energetic Particle (SEP) event may be catastrophic for astronauts and aircraft passengers alike, along with their electronic equipment. It is widely theorized that SEP events are caused by Coronal Mass Ejections (CMEs), some occurring up to a full day beforehand, accompanied by additional space weather conditions. The only significant models for SEP forecasting are statistically or machine learning-based, often developed on imprecise data. We present an enhanced catalog of CMEs, along with other space weather phenomena, and their relationship with the occurrence of SEP events. Using the enhanced CME catalog, we combine machine …

Smart Glasses Assisting Visually-Impaired People, Ali Delham Algarni

Theses and Dissertations

Smart Glasses Assisting Visually-Impaired artificial intelligence system providing speech recognition, object recognition, face recognition, and distance to all features for visually impaired people's enhanced (daily) autonomy. Smart Glasses Assisting Visually-Impaired People is a new integrative process that combines as such, the invention is both a further use of the technologies supporting the features listed above and an improvement to the overall activities carried out by visually impaired people in their daily lives activities such as: providing vocal commands, being able to read text, being able to receive spoken information about various objects in their surroundings, being aware of their location …

Unveiling Migration Patterns Using Data And Network Science, Firas Aswad

Theses and Dissertations

Many real-world phenomena have recently been witnessed, motivating scientists to provide a comprehensive understanding of worldwide networks, such as the human migration phenomenon. Human migration research is multidisciplinary and has yielded work in social sciences, physics, and the new field of smart city designing and planning based on big data analytics. The importance of the research comes from the impacts on both countries, sources, and distention. Impacts occur at several levels such as economy, city planning, politics, and law enforcement, leading to changes in demographics. Thus, studies on human migration help policymakers prepare and handle crises when they occur in …

Visual Diagnostics For Constrained Optimisation With Application To Guided Tours, H Sherry Zhang, Dianne Cook, Ursula Laa, Nicolas Langrené, Patricia Menéndez

The R Journal

A guided tour helps to visualise high-dimensional data by showing low-dimensional projections along a projection pursuit optimisation path. Projection pursuit is a generalisation of principal component analysis in the sense that different indexes are used to define the interestingness of the projected data. While much work has been done in developing new indexes in the literature, less has been done on understanding the optimisation. Index functions can be noisy, might have multiple local maxima as well as an optimal maximum, and are constrained to generate orthonormal projection frames, which complicates the optimization. In addition, projection pursuit is primarily used for …

Bssm: Bayesian Inference Of Non-Linear And Non-Gaussian State Space Models In R, Jouni Helske, Matti Vihola

The R Journal

We present an R package bssm for Bayesian non-linear/non-Gaussian state space modeling. Unlike the existing packages, bssm allows for easy-to-use approximate inference based on Gaussian approximations such as the Laplace approximation and the extended Kalman filter. The package also accommodates discretely observed latent diffusion processes. The inference is based on fully automatic, adaptive Markov chain Monte Carlo (MCMC) on the hyperparameters, with optional importance sampling post-correction to eliminate any approximation bias. The package also implements a direct pseudo-marginal MCMC and a delayed acceptance pseudo-marginal MCMC using intermediate approximations. The package offers an easy-to-use interface to define models with linear-Gaussian state …

Passed: Calculate Power And Sample Size For Two Sample Tests, Jinpu Li, Ryan .. Knigge, Kaiyi Chen, Emily V. Leary

The R Journal

Power and sample size estimation are critical aspects of study design to demonstrate minimized risk for subjects and justify the allocation of time, money, and other resources. Researchers often work with response variables that take the form of various distributions. Here, we present an R package, PASSED, that allows flexibility with seven common distributions and multiple options to accommodate sample size or power analysis. The relevant statistical theory, calculations, and examples for each distribution using PASSED are discussed in this paper.

Automatic Time Series Forecasting With Ata Method In R: Ataforecasting Package, Ali Sabri Taylan, Güçkan Yapar, Hanife Taylan Selamlar

The R Journal

Ata method is a new univariate time series forecasting method that provides innovative solutions to issues faced during the initialization and optimization stages of existing methods. The Ata method’s forecasting performance is superior to existing methods in terms of easy implementation and accurate forecasting. It can be applied to non-seasonal or deseasonalized time series, where the deseasonalization can be performed via any preferred decomposition method. The R package ATAforecasting was developed as a comprehensive toolkit for automatic time series forecasting. It focuses on modeling all types of time series components with any preferred Ata methods and handling seasonality patterns by …

Drhotnet: An R Package For Detecting Differential Risk Hotspots On A Linear Network, Álvaro Briz-Redón, Francisco Martínez-Ruiz, Francisco Montes

The R Journal

One of the most common applications of spatial data analysis is detecting zones, at a certain scale, where a point-referenced event under study is especially concentrated. The detection of such zones, which are usually referred to as hotspots, is essential in certain fields such as criminology, epidemiology, or traffic safety. Traditionally, hotspot detection procedures have been developed over areal units of analysis. Although working at this spatial scale can be suitable enough for many research or practical purposes, detecting hotspots at a more accurate level (for instance, at the road segment level) may be more convenient sometimes. Furthermore, it is …

Maint.Data: Modelling And Analysing Interval Data In R, A Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias

The R Journal

We present the CRAN R package MAINT.Data for the modelling and analysis of multivariate interval data, i.e., where units are described by variables whose values are intervals of R, representing intrinsic variability. Parametric inference methodologies based on probabilistic models for interval variables have been developed, where each interval is represented by its midpoint and log-range, for which multivariate Normal and Skew-Normal distributions are assumed. The intrinsic nature of the interval variables leads to special structures of the variance-covariance matrix, which are represented by four different possible configurations. MAINT.Data implements the proposed methodologies in the S4 object system, introducing a …

Matchthem: Matching And Weighting After Multiple Imputation, Farhad Pishgar, Noah Greifer, Clémence Leyrat, Elizabeth Stuart

The R Journal

Balancing the distributions of the confounders across the exposure levels in an observational study through matching or weighting is an accepted method to control for confounding due to these variables when estimating the association between an exposure and outcome and reducing the degree of dependence on certain modeling assumptions. Despite the increasing popularity in practice, these procedures cannot be immediately applied to datasets with missing values. Multiple imputation of the missing data is a popular approach to account for missing values while preserving the number of units in the dataset and accounting for the uncertainty in the missing values. However, …

Bayessenmc: An R Package For Bayesian Sensitivity Analysis Of Misclassification, Jinhui Yang, Lifeng Lin, Haitao Chu

The R Journal

In case–control studies, the odds ratio is commonly used to summarize the association between a binary exposure and a dichotomous outcome. However, exposure misclassification frequently appears in case–control studies due to inaccurate data reporting, which can produce bias in measures of association. In this article, we implement a Bayesian sensitivity analysis of misclassification to provide a full posterior inference on the corrected odds ratio under both non-differential and differential misclassification. We present an R (R Core Team, 2018) package BayesSenMC, which provides user-friendly functions for its implementation. The usage is illustrated by a real data analysis on the association between …

Passo: An R Package For Assessing Partial Association Between Ordinal Variables, Shaobo Li, Xiaorui Zhu, Yuejie Chen, Dungang Liu

The R Journal

Partial association, the dependency between variables after adjusting for a set of covariates, is an important statistical notion for scientific research. However, if the variables of interest are ordered categorical data, the development of statistical methods and software for assessing their partial association is limited. Following the framework established by Liu et al. (2021), we develop an R package PAsso for assessing Partial Associations between ordinal variables. The package provides various functions that allow users to perform a wide spectrum of assessments, including quantification, visualization, and hypothesis testing. In this paper, we discuss the implementation of PAsso in …

Estimating Social Influence Effects In Networks Using A Latent Space Adjusted Approach In R, Ran Xu

The R Journal

Social influence effects have been extensively studied in various empirical network research. However, many challenges remain in estimating social influence effects in networks, as influence effects are often entangled with other factors, such as homophily in the selection process and the common social-environmental factors that individuals are embedded in. Methods currently available either do not solve these problems or require stringent assumptions. Recent works by Xu (2018) and others have shown that a latent space adjusted approach based on the latent space model has the potential to disentangle the influence effects from other processes, and the simulation evidence has shown …