Mental and Social Health Commons^™

Personalized Detection Of Anxiety Provoking News Events Using Semantic Network Analysis, Jacquelyn Cheun Phd, Luay Dajani, Quentin B. Thomas

SMU Data Science Review

In the age of hyper-connectivity, 24/7 news cycles, and instant news alerts via social media, mental health researchers don't have a way to automatically detect news content which is associated with triggering anxiety or depression in mental health patients. Using the Associated Press news wire, a semantic network was built with 1,056 news articles containing over 500,000 connections across multiple topics to provide a personalized algorithm which detects problematic news content for a given reader. We make use of Semantic Network Analysis to surface the relationship between news article text and anxiety in readers who struggle with mental health disorders. …

Exploring Emotion Recognition For Vr-Ebt Using Deep Learning On A Multimodal Physiological Framework, Nicholas Dass

Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses

Post-Traumatic Stress Disorder is a mental health condition that affects a growing number of people. A variety of PTSD treatment methods exist, however current research indicates that virtual reality exposure-based treatment has become more prominent in its use.Yet the treatment method can be costly and time consuming for clinicians and ultimately for the healthcare system. PTSD can be delivered in a more sustainable way using virtual reality. This is accomplished by using machine learning to autonomously adapt virtual reality scene changes. The use of machine learning will also support a more efficient way of inserting positive stimuli in virtual reality …

Functional Dissection Of The Chickpea (Cicer Arietinum L.) Stay-Green Phenotype Associated With Molecular Variation At An Ortholog Of Mendel’S I Gene For Cotyledon Color: Implications For Crop Production And Carotenoid Biofortification, Kaliamoorthy Sivasakthi, Edward Marques, Ng’Andwe Kalungwana, Noelia Carrasquilla-Garcia, Peter L. Chang, Emily M. Bergmann, Erika Bueno, Matilde Cordeiro, Syed Gul A.S. Sani, Sripada M. Udupa, Irshad A. Rather, Reyazul Rouf Mir, Vincent Vadez, George J. Vandemark, Pooran M. Gaur, Douglas R. Cook, Christine Boesch, Eric J.B. Von Wettberg, Jana Kholova, R. Varma Penmetsa

College of Agriculture and Life Sciences Faculty Publications

“Stay-green” crop phenotypes have been shown to impact drought tolerance and nutritional content of several crops. We aimed to genetically describe and functionally dissect the particular stay-green phenomenon found in chickpeas with a green cotyledon color of mature dry seed and investigate its potential use for improvement of chickpea environmental adaptations and nutritional value. We examined 40 stay-green accessions and a set of 29 BC2F4-5 stay-green introgression lines using a stay-green donor parent ICC 16340 and two Indian elite cultivars (KAK2, JGK1) as recurrent parents. Genetic studies of segregating populations indicated that the green cotyledon trait is controlled by a …

Designing A Global Mechanism For Intergovernmental Biodiversity Financing, Nils Droste, Joshua Farley, Irene Ring, Peter H. May, Taylor H. Ricketts

Rubenstein School of Environment and Natural Resources Faculty Publications

The Convention on Biological Diversity and the Nagoya Protocol display a broad international consensus for biodiversity conservation and equitable benefit sharing. Yet, the Aichi biodiversity targets show a lack of progress and thus indicate a need for additional action such as enhanced and better targeted financial resource mobilization. To date, no global financial burden-sharing instrument has been proposed. Developing a global-scale financial mechanism to support biodiversity conservation through intergovernmental transfers, we simulate three allocation designs: ecocentric, socioecological, and anthropocentric. We analyze the corresponding incentives needed to reach the Aichi target of terrestrial protected area coverage by 2020. Here we show …

Near Real-Time Determination Of The Prevalence Of Cannabinoids, Cathinones, And Synthetic Opioids, Catherine O'Rourke, Bikram Subedi

Scholars Week

Unregulated new psychoactive substances (NPS) in “pure” or “preparation” forms are designed to mimic the effects of controlled substances, and are introduced and reintroduced in the market as a cheap substitute of established regulated drugs in quick succession to loophole the law enforcement efforts on combating drugs. For example, carfentanil, a synthetic opioid activates the opioid receptors similar to morphine but it is astoundingly potent compared to a typical drug of abuse (100 times more potent than fentanyl and 10,000 times more powerful than morphine). Based on the cost- and time-intensive forensic analysis, National Drug Early Warning System reported the …

Determination Of Cannabinoids, Cathinones, And Synthetic Fentanyls Using Wastewater-Based Epidemiology, Catherine O'Rourke, Bikram Subedi

Posters-at-the-Capitol

Unregulated new psychoactive substances (NPS) in “pure” or “preparation” forms are designed to mimic the effects of controlled substances, and are introduced and reintroduced in the market as a cheap substitute for established regulated drugs in quick succession to loophole the law enforcement efforts on combating drugs. For example, carfentanil, a synthetic opioid activates the opioid receptors similar to morphine but it is astoundingly potent compared to a typical drug of abuse (100 times more potent than fentanyl and 10,000 times more powerful than morphine). Based on the cost- and time-intensive forensic analysis, National Drug Early Warning System reported the …

Enhancing Timeliness Of Drug Overdose Mortality Surveillance: A Machine Learning Approach, Patrick J. Ward, Peter J. Rock, Svetla Slavova, April M. Young, Terry L. Bunn, Ramakanth Kavuluru

Kentucky Injury Prevention and Research Center Faculty Publications

BACKGROUND: Timely data is key to effective public health responses to epidemics. Drug overdose deaths are identified in surveillance systems through ICD-10 codes present on death certificates. ICD-10 coding takes time, but free-text information is available on death certificates prior to ICD-10 coding. The objective of this study was to develop a machine learning method to classify free-text death certificates as drug overdoses to provide faster drug overdose mortality surveillance.

METHODS: Using 2017–2018 Kentucky death certificate data, free-text fields were tokenized and features were created from these tokens using natural language processing (NLP). Word, bigram, and trigram features were created …

Bird Dispersal As A Pre-Adaptation For Domestication In Legumes: Insights For Neo-Domestication, Hester Brǿnnvik, Eric J. Von Wettberg

College of Agriculture and Life Sciences Faculty Publications

No abstract provided.

Payment For Ecosystem Services: Incentives To Support Environmental Quality & Farming In Vermont, Stephen Posner, Taylor Ricketts, Eric Roy

Reports and Policy Briefs

Environmental quality is an ongoing concern in the Lake Champlain Basin. Vermont farmers are in a unique position to manage land in a way that maintains and improves environmental quality. A payment for ecosystem services (PES) program for Vermont would both support the economic vi- ability of Vermont farms and incentivize farmers to improve water quality and soil health. How- ever, conceptual and practical implementation challenges remain.

An Animal-Assisted Intervention Study In The Nursing Home: Lessons Learned, Lonneke G. J. A. Schuurmans, Inge Noback, Jos M. G. A. Schols, Marie-Jose Enders-Slegers

People and Animals: The International Journal of Research and Practice

AAI studies in the nursing home pose a specific set of challenges. In this article the practical and ethical issues encountered during a Dutch psychogeriatric nursing home AAI study are addressed with the aim of sharing our experiences for future researchers as well as AAI practitioners in general.

In our study we compared three groups of clients with dementia who participated in group sessions of either visiting dog teams, visiting FurReal Friend robot animals, or visiting students (control group) and monitored the effect on social interaction and neuropsychiatric symptoms through video analysis and questionnaires. We encountered the following four categories …

Loving The Mess: Navigating Diversity And Conflict In Social Values For Sustainability, Jasper O. Kenter, Christopher M. Raymond, Carena J. Van Riper, Elaine Azzopardi, Michelle R. Brear, Fulvia Calcagni, Ian Christie, Michael Christie, Anne Fordham, Rachelle K. Gould, Christopher D. Ives, Adam P. Hejnowicz, Richard Gunton, Andra Ioana Horcea-Milcu, Dave Kendal, Jakub Kronenberg, Julian R. Massenberg, Seb O’Connor, Neil Ravenscroft, Andrea Rawluk, Ivan J. Raymond, Jorge Rodríguez-Morales, Samarthia Thankappan

Rubenstein School of Environment and Natural Resources Faculty Publications

This paper concludes a special feature of Sustainability Science that explores a broad range of social value theoretical traditions, such as religious studies, social psychology, indigenous knowledge, economics, sociology, and philosophy. We introduce a novel transdisciplinary conceptual framework that revolves around concepts of ‘lenses’ and ‘tensions’ to help navigate value diversity. First, we consider the notion of lenses: perspectives on value and valuation along diverse dimensions that describe what values focus on, how their sociality is envisioned, and what epistemic and procedural assumptions are made. We characterise fourteen of such dimensions. This provides a foundation for exploration of seven areas …

Scale And Sense Of Place Among Urban Dwellers, Nicole M. Ardoin, Rachelle K. Gould, Heather Lukacs, Carly C. Sponarski, Janel S. Schuh

Rubenstein School of Environment and Natural Resources Faculty Publications

Place connections are core to being human: Every person lives in, and thus has direct experience of, at least one place and likely of numerous places throughout a lifetime. Sense of place—or the meanings, knowledge, and bonds that arise from the biophysical, social, and political–economic aspects of places—in turn influences people's interactions with those places. Of particular interest to researchers, practitioners, and policymakers, such interactions can impact place-protective, stewardship, or conservation behaviors. However, how sense of place develops and what it represents is shifting in today's rapidly urbanizing, globalizing world. Especially when considering the integrated social–ecological context, questions related to …

Us County-Level Agricultural Crop Production Typology, Courtney R. Hammond Wagner, Meredith T. Niles, Eric D. Roy

Rubenstein School of Environment and Natural Resources Faculty Publications

Objectives: Crop production is an important variable in social, economic and environmental analyses. There is an abundance of crop data available for the United States, but we lack a typology of county-level crop production that accounts for production similarities in counties across the country. We fill this gap with a county-level classification of crop production with ten mutually exclusive categories across the contiguous United States. Data description: To create the typology we ran a cluster analysis on acreage data for 21 key crops from the United States Department of Agriculture's 2012 Agricultural Census. Prior to clustering, we estimated undisclosed county …

Effects Of Human Demand On Conservation Planning For Biodiversity And Ecosystem Services, Keri B. Watson, Gillian L. Galford, Laura J. Sonter, Insu Koh, Taylor H. Ricketts

Rubenstein School of Environment and Natural Resources Faculty Publications

Safeguarding ecosystem services and biodiversity is critical to achieving sustainable development. To date, ecosystem services quantification has focused on the biophysical supply of services with less emphasis on human beneficiaries (i.e., demand). Only when both occur do ecosystems benefit people, but demand may shift ecosystem service priorities toward human-dominated landscapes that support less biodiversity. We quantified how accounting for demand affects the efficiency of conservation in capturing both human benefits and biodiversity by comparing conservation priorities identified with and without accounting for demand. We mapped supply and benefit for 3 ecosystem services (flood mitigation, crop pollination, and nature-based recreation) by …

Aligning Evidence Generation And Use Across Health, Development, And Environment, Heather Tallis, Katharine Kreis, Lydia Olander, Claudia Ringler, David Ameyaw, Mark E. Borsuk, Diana Fletschner, Edward Game, Daniel O. Gilligan, Marc Jeuland, Gina Kennedy, Yuta J. Masuda, Sumi Mehta, Nicholas Miller, Megan Parker, Carmel Pollino, Julie Rajaratnam, David Wilkie, Wei Zhang, Selena Ahmed, Oluyede C. Ajayi, Harold Alderman, George Arhonditsis, Ines Azevedo, Ruchi Badola, Rob Bailis, Patricia Balvanera, Emily Barbour, Mark Bardini, David N. Barton, Jill Baumgartner

Rubenstein School of Environment and Natural Resources Faculty Publications

Although health, development, and environment challenges are interconnected, evidence remains fractured across sectors due to methodological and conceptual differences in research and practice. Aligned methods are needed to support Sustainable Development Goal advances and similar agendas. The Bridge Collaborative, an emergent research-practice collaboration, presents principles and recommendations that help harmonize methods for evidence generation and use. Recommendations were generated in the context of designing and evaluating evidence of impact for interventions related to five global challenges (stabilizing the global climate, making food production sustainable, decreasing air pollution and respiratory disease, improving sanitation and water security, and solving hunger and malnutrition) …

Law Library Blog (August 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Smallholder Farmers Spend Credit Primarily On Food: Gender Differences And Food Security Implications In A Changing Climate, Marissa Carranza, Meredith T. Niles

College of Agriculture and Life Sciences Faculty Publications

In many low-income nations agriculture is used as the primary source of income, which in the face of a changing climate, is known to be at considerable risk for the smallholder farmers that rely on it. Financial resources may enable smallholder farmers to implement adaptation practices and diversify income and investments, which has the potential to affect household income and food security. Here we explore relationships between access to different types of financial resources among male and female-headed households and women vs. men, use of financial resources, and its relationship to food security. We use data from the CGIAR Climate …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Use Of The Journal Impact Factor In Academic Review, Promotion, And Tenure Evaluations, Erin C. Mckiernan, Lesley A. Schimanski, Carol Muñoz Nieves, Lisa Matthias, Meredith T. Niles, Juan P. Alperin

College of Agriculture and Life Sciences Faculty Publications

We analyzed how often and in what ways the Journal Impact Factor (JIF) is currently used in review, promotion, and tenure (RPT) documents of a representative sample of universities from the United States and Canada. 40% of research-intensive institutions and 18% of master’s institutions mentioned the JIF, or closely related terms. Of the institutions that mentioned the JIF, 87% supported its use in at least one of their RPT documents, 13% expressed caution about its use, and none heavily criticized it or prohibited its use. Furthermore, 63% of institutions that mentioned the JIF associated the metric with quality, 40% with …

Stressmon: Large Scale Detection Of Stress And Depression In Campus Environment Using Passive Coarse-Grained Location Data, Camellia Zakaria

Dissertations and Theses Collection (Open Access)

The rising mental health illnesses of severe stress and depression is of increasing concern worldwide. Often associated by similarities in symptoms, severe stress can take a toll on a person’s productivity and result in depression if the stress is left unmanaged. Unfortunately, depression can occur without any feelings of stress. With depression growing as a leading cause of disability in economic productivity, there has been a sharp rise in mental health initiatives to improve stress and depression management. To offer such services conveniently and discreetly, recent efforts have focused on using mobile technologies. However, these initiatives usually require users to …

Predictors Of Neonatal Abstinence Syndrome In Buprenorphine Exposed Newborn: Can Cord Blood Buprenorphine Metabolite Levels Help?, Darshan Shah, Stacy Brown, Nick Hagemeier, Shimin Zheng, Amy Kyle, Jason Pryor, Nilesh Dankhara, Piyuesh Singh

Stacy D. Brown

Background

Buprenorphine is a semi-synthetic opioid used for the treatment of opioid dependence. Opioid use, including buprenorphine, has been increasing in recent years, in the general population and in pregnant women. Consequently, there has been a rise in frequency of neonatal abstinence syndrome (NAS), associated with buprenorphine use during pregnancy. The purpose of this study was to investigate correlations between buprenorphine and buprenorphine-metabolite concentrations in cord blood and onset of NAS in buprenorphine exposed newborns.

Methods

Nineteen (19) newborns who met inclusion criteria were followed after birth until discharge in a double-blind non-intervention study, after maternal consent. Cord blood and …

Integrating Team Science Into Interdisciplinary Graduate Education: An Exploration Of The Sesync Graduate Pursuit, Kenneth E. Wallen, Karen Filbee-Dexter, Jeremy B. Pittman, Stephen M. Posner, Steven M. Alexander, Chelsie L. Romulo, Drew E. Bennett, Elizabeth C. Clark, Stella J.M. Cousins, Bradford A. Dubik, Margaret Garcia, Heather A. Haig, Elizabeth A. Koebele, Jiangxiao Qiu, Ryan C. Richards, Celia C. Symons, Samuel C. Zipper

Peer-Reviewed Studies

Complex socio-environmental challenges require interdisciplinary, team-based research capacity. Graduate students are fundamental to building such capacity, yet formal opportunities for graduate students to develop these capacities and skills are uncommon. This paper presents an assessment of the Graduate Pursuit (GP) program, a formal interdisciplinary team science graduate research and training program administered by the National Socio-Environmental Synthesis Center (SESYNC). Quantitative and qualitative assessment of the program’s first cohort revealed that participants became significantly more comfortable with interdisciplinary research and team science approaches, increased their capacity to work across disciplines, and were enabled to produce tangible research outcomes. Qualitative analysis of …

Population Genomic Analysis Of Mango (Mangifera Indica) Suggests A Complex History Of Domestication, Emily J. Warschefsky, Eric J.B. Von Wettberg

College of Agriculture and Life Sciences Faculty Publications

Trust Humans have domesticated diverse species from across the plant kingdom, yet much of our foundational knowledge of domestication has come from studies investigating relatively few of the most important annual food crops. Here, we examine the impacts of domestication on genetic diversity in a tropical perennial fruit species, mango (Mangifera indica). We used restriction site associated DNA sequencing to generate genomic single nucleotide polymorphism (SNP) data from 106 mango cultivars from seven geographical regions along with 52 samples of closely related species and unidentified cultivars to identify centers of mango genetic diversity and examine how post-domestication dispersal shaped the …

Optimizing Wetland Restoration To Improve Water Quality At A Regional Scale, Nitin K. Singh, Jesse D. Gourevitch, Beverley C. Wemple, Keri B. Watson, Donna M. Rizzo, Stephen Polasky, Taylor H. Ricketts

College of Arts and Sciences Faculty Publications

Published by IOP Publishing Ltd. Excessive phosphorus (P) export to aquatic ecosystems can lead to impaired water quality. There is a growing interest among watershed managers in using restored wetlands to retain P from agricultural landscapes and improve water quality. We develop a novel framework for prioritizing wetland restoration at a regional scale. The framework uses an ecosystem service model and an optimization algorithm that maximizes P reduction for given levels of restoration cost. Applying our framework in the Lake Champlain Basin, we find that wetland restoration can reduce P export by 2.6% for a budget of $50 M and …

Optimizing Wetland Restoration To Improve Water Quality At A Regional Scale, Nitin K. Singh, Jesse D. Gourevitch, Beverley C. Wemple, Keri B. Watson, Donna M. Rizzo, Stephen Polasky, Taylor H. Ricketts

Rubenstein School of Environment and Natural Resources Faculty Publications

Excessive phosphorus (P) export to aquatic ecosystems can lead to impaired water quality. There is a growing interest among watershed managers in using restored wetlands to retain P from agricultural landscapes and improve water quality. We develop a novel framework for prioritizing wetland restoration at a regional scale. The framework uses an ecosystem service model and an optimization algorithm that maximizes P reduction for given levels of restoration cost. Applying our framework in the Lake Champlain Basin, we find that wetland restoration can reduce P export by 2.6% for a budget of $50 M and 5.1% for a budget of …

Reimagining The Potential Of Earth Observations For Ecosystem Service Assessments, Carlos Ramirez-Reyes, Kate A. Brauman, Rebecca Chaplin-Kramer, Gillian L. Galford, Susana B. Adamo, Christopher B. Anderson, Clarissa Anderson, Ginger R.H. Allington, Kenneth J. Bagstad, Michael T. Coe, Anna F. Cord, Laura E. Dee, Rachelle K. Gould, Meha Jain, Virginia A. Kowal, Frank E. Muller-Karger, Jessica Norriss, Peter Potapov, Jiangxiao Qiu, Jesse T. Rieb, Brian E. Robinson, Leah H. Samberg, Nagendra Singh, Sabrina H. Szeto, Brian Voigt, Keri Watson, T. Maxwell Wright

Rubenstein School of Environment and Natural Resources Faculty Publications

The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management, conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. …

Blacklegged Tick (Ixodes Scapularis) Distribution In Maine, Usa, As Related To Climate Change, White-Tailed Deer, And The Landscape, Susan P. Elias

Electronic Theses and Dissertations

Lyme disease is caused by the bacterial spirochete Borrelia burgdorferi, which is transmitted through the bite of an infected blacklegged (deer) tick (Ixodes scapularis). Geographic invasion of I. scapularis in North America has been attributed to causes including 20th century reforestation and suburbanization, burgeoning populations of the white-tailed deer (Odocoileus virginianus) which is the primary reproductive host of I. scapularis, tick-associated non-native plant invasions, and climate change. Maine, USA, is a high Lyme disease incidence state, with a history of increasing I. scapularis abundance and northward range expansion. This thesis addresses the question: “To …

Development Of A School Boredom Proneness Scale For Children, Taylor Carrington

Educational Specialist, 2009-2019

One common phrase heard from students is, “I’m bored.” However, there is no real understanding of what this actually means. In this study, elementary-age students were asked to respond to a newly developed School Boredom Proneness Scale (SBPS) including questions relating to a five-factor model of boredom. Students were also asked to rate how often they become bored at school and how bored they seem compared to classmates. In addition to student responses, parents and teachers were asked to rate how bored they thought the student was, and teachers were additionally asked to rate students’ level of work completion. The …

A Deep Learning Approach To Diagnosing Schizophrenia, Justin Barry

Electronic Theses and Dissertations

In this article, the investigators present a new method using a deep learning approach to diagnose schizophrenia. In the experiment presented, the investigators have used a secondary dataset provided by National Institutes of Health. The aforementioned experimentation involves analyzing this dataset for existence of schizophrenia using traditional machine learning approaches such as logistic regression, support vector machine, and random forest. This is followed by application of deep learning techniques using three hidden layers in the model. The results obtained indicate that deep learning provides state-of-the-art accuracy in diagnosing schizophrenia. Based on these observations, there is a possibility that deep learning …

A Comparative Analysis Of Governance And Leadership In Agricultural Development Policy Networks, Jessica Rudnick, Meredith Niles, Mark Lubell, Laura Cramer

College of Agriculture and Life Sciences Faculty Publications

Agricultural development initiatives feature many public and private organizations working together across sectors and scales to pursue the goals of food security and climate resilience. Policy networks are considered a crucial ingredient for the learning and cooperation needed to effectively implement agricultural development projects and increase community resiliency, yet very little comparative empirical data has been collected to assess where and how these networks operate. We contribute to filling this gap by characterizing the governance and leadership patterns within agricultural development policy networks that connect organizations working on climate resilience and food security activities in 14 smallholder farming communities across …